Spectroscopy and Chemometrics/Machine-Learning News Weekly #9, 2023

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Spectroscopy and Chemometrics News Weekly 8, 2023 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 8, 2023 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 8, 2023 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK

Near-Infrared Spectroscopy (NIRS)

“Near infrared spectroscopy for estimating properties of kraft paper reinforced with cellulose nanofibrils” LINK

“Effect of Atorvastatin on Microcirculation Evaluated by Vascular Occlusion Test with Peripheral Near-Infrared Spectroscopy” | LINK

“Foods : Quality Evaluation of Fair-Trade Cocoa Beans from Different Origins Using Portable Near-Infrared Spectroscopy (NIRS)” LINK

“Visible and near-infrared spectroscopy and deep learning application for the qualitative and quantitative investigation of nitrogen status in cotton leaves” | LINK

“HYPERSPECTRAL CAMERA BASED ON NEAR-INFRARED SINGLE-PIXEL IMAGING” LINK

“Implementazione di una applicazione della spettrometria del vicino infrarosso (NIRS) per il controllo del melasso di canna” LINK

“Effects of Different Optical Properties of Head Tissues on Near-Infrared Spectroscopy Using Monte Carlo Simulations” | LINK

“The role of near-infrared reflectance imaging in retinal disease: A systematic review” | LINK

“Determination of pitaya quality using portable NIR spectroscopy and innovative low-cost electronic nose” | LINK

“Effect of solution supersaturation on crystal formation of Vitamin K2 based on near infrared spectroscopy analysis technology” LINK

“Releasing fast and slow: Non-destructive prediction of density and drug release from SLS 3D printed tablets using NIR spectroscopy” LINK

“Estimation of Proximate, Fatty Acid, Mineral Content and Proline Level in Amaranth using Near Infrared Reflectance Spectroscopy” LINK

“Rapid Determination of Phosphogypsum in Soil Based by Infrared (IR) and Near-Infrared (NIR) Spectroscopy with Multivariate Calibration” | LINK

“Foods : Rapid Screening of High-Yield Gellan Gum Mutants of Sphingomonas paucimobilis ATCC 31461 by Combining Atmospheric and Room Temperature Plasma Mutation with Near-Infrared Spectroscopy Monitoring” LINK

Infrared Spectroscopy (IR) and Near-Infrared Spectroscopy (NIR)

“Quantitative and convenient protocol for analysis of surface‐modified silica nanoparticles using 29Si‐NMR and near‐infrared diffuse reflection spectroscopy” LINK

Hyperspectral Imaging (HSI)

“Sparse reproducible machine learning for near infrared hyperspectral imaging: Estimating the tetrahydrocannabinolic acid concentration in Cannabis sativa L.” | LINK

“Non-destructive prediction of yak meat freshness indicator by hyperspectral techniques in the oxidation process” LINK

“Foods : Effect of Moisture Content Difference on the Analysis of Quality Attributes of Red Pepper (Capsicum annuum L.) Powder Using a Hyperspectral System” | LINK

Chemometrics and Machine Learning

“The Predicted Model of the Sensory Quality of Refrigerated Tilapia Skin Established Based on Characteristic Near-Infrared Spectrum” LINK

“Remote Sensing : A Method for Retrieving Cloud-Top Height Based on a Machine Learning Model Using the Himawari-8 Combined with Near Infrared Data” | LINK

“Foods : Bayesian Fusion Model Enhanced Codfish Classification Using Near Infrared and Raman Spectrum” | LINK

Research on Spectroscopy

“Basil essential oil product formulation by paste encapsulation method for reducing pre-and post-harvest losses of mango” LINK

Equipment for Spectroscopy

“Oxyhaemoglobin Level Measured Using Near-Infrared Spectrometer Is Associated with Brain Mitochondrial Dysfunction After Cardiac Arrest in Rats” | LINK

Environment NIR-Spectroscopy Application

“Stormwater biofilter response to high nitrogen loading under transient flow conditions: ammonium and nitrate fates, and nitrous oxide emissions” LINK

Agriculture NIR-Spectroscopy Usage

“Agronomy : Rapid Nondestructive Detection of Chlorophyll Content in Muskmelon Leaves under Different Light Quality Treatments” | LINK

“Agriculture : Combining Multitemporal Sentinel-2A Spectral Imaging and Random Forest to Improve the Accuracy of Soil Organic Matter Estimates in the Plough Layer for Cultivated Land” LINK

“Assessing the sensitive spectral bands for soybean water status monitoring and soil moisture prediction using leaf-based hyperspectral reflectance” LINK

Horticulture NIR-Spectroscopy Applications

“Comparative Study of Carotenoids Content in Ripe and Unripe Oil Palm Fresh Fruit Bunches” LINK

Other

“Perceived Exertion Correlates with Multiple Physiological Parameters During Cardiopulmonary Exercise Testing” | LINK

“FUMANTES SINTOMÁTICOS SEM DPOC COM SUSPEITA DE DOENÇA MICROVASCULAR PULMONAR ASSOCIADA AO TABACO E TRATAMENTO COM …” LINK

“Sample size for the physical and physico-chemical characteristics of the cashew” LINK

Spectroscopy and Chemometrics/Machine-Learning News Weekly #6, 2023

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Spectroscopy and Chemometrics News Weekly 5, 2023 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 5, 2023 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 5, 2023 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK

Near-Infrared Spectroscopy (NIRS)

“SOP for near infrared spectroscopy (NIRS) acquisition on sweetpotato roots and potato tubers. Work package 3” LINK

“[ZITATION][C] 147 Profiling boar semen quality through near-infrared spectroscopy and proteomic tools” LINK

“Prediction of Na-and Ca-montmorillonite contents and swelling properties of clay mixtures using Vis-NIR spectroscopy” LINK

“Component Prediction of Antai Pills Based on One-Dimensional Convolutional Neural Network and Near-Infrared Spectroscopy” LINK

“Biosensors : Recent Advances of NIR-II Emissive Semiconducting Polymer Dots for In Vivo Tumor Fluorescence Imaging and Theranostics” | LINK

“Exploring the Analytical Complexities in Insect Powder Analysis Using Miniaturized NIR Spectroscopy. Foods 2022, 11, 3524” LINK

“Moisture content monitoring in withering leaves during black tea processing based on electronic eye and near infrared spectroscopy” | LINK

Infrared Spectroscopy (IR) and Near-Infrared Spectroscopy (NIR)

“Hydrogen Bonding from Perspective of Overtones and Combination Modes: NearInfrared Spectroscopic Study” LINK

“Enhancing the cooling properties of lowdensity polyethylene films by combining nearinfrared reflective additives” LINK

“Analysis of Local Samples of Paracetamol at Bamako by Reflectance Near-Infrared Spectroscopy” LINK

“Efficient and Thermally Robust Broadband Near‐Infrared Emission in a Garnet Ca3MgHfGe3O12:Cr3+ Phosphor” LINK

Hyperspectral Imaging (HSI)

“Hyperspectral technique combined with stacking and blending ensemble learning method for detection of cadmium content in oilseed rape leaves” LINK

“A review of hyperspectral imaging in the quality evaluation of meat, fish, poultry and their products” LINK

“Prediction of yam cooking behavior using hyperspectral imaging. Report on HSI calibrations for dry matter, pectin, starch & texture on raw fresh yam slices, at CIRAD …” LINK

“Raman spectroscopy and NIR hyperspectral imaging for in-line estimation of fatty acid features in salmon fillets” LINK

Chemometrics and Machine Learning

“Fast quantification of diclofenac sodium content in commercially available tablets by transmission Raman spectroscopy with PLS” LINK

“midIR spectroscopy study of aqueous solution of ethylene glycol using chemometrics analysis and 2dimensional correlation spectroscopy” LINK

“Plants : Classification and Prediction by Pigment Content in Lettuce (Lactuca sativa L.) Varieties Using Machine Learning and ATR-FTIR Spectroscopy” | LINK

“Foods : An Overview on the Application of Chemometrics Tools in Food Authenticity and Traceability” | LINK

“Optimization of spectral pre-processing techniques for estimation of surface soil properties from airborne AVIRIS-NG” LINK

Optics for Spectroscopy

“Sensors : Near-IR & Mid-IR Silicon Photonics Modulators” | LINK

Equipment for Spectroscopy

“Toward Plasmonic Neural Probes: SERS Detection of Neurotransmitters through Gold Nanoislandsdecorated Tapered Optical fibers with sub10 nm Gaps” LINK

Process Control and NIR Sensors

“Capacitance spectroscopy enables realtime monitoring of early cell death in mammalian cell culture” LINK

Horticulture NIR-Spectroscopy Applications

“A Series of Soluble Planar Oligorylenes up to Hexarylene” LINK

Food & Feed Industry NIR Usage

“Foods : A New Approach in Meat Bio-Preservation through the Incorporation of a Heteropolysaccharide Isolated from Lobularia maritima L.” | LINK

“Foods : Emerging Postharvest Technologies to Enhance the Shelf-Life of Fruit and Vegetables: An Overview” | LINK

Chemical Industry NIR Usage

“Polymers : Study of Morphology, Rheology, and Dynamic Properties toward Unveiling the Partial Miscibility in Poly(lactic acid)—Poly(hydroxybutyrate-co-hydroxyvalerate) Blends” | LINK

Other

“Detection of bruised loquats based on reflectance, absorbance and Kubelka-Munk spectra” | LINK

“Longitudinal alterations of pulmonary [… formula…] O2 on-kinetics during moderate-intensity exercise in competitive youth cyclists are related to alterations in the …” | LINK

Spectroscopy and Chemometrics/Machine-Learning News Weekly #9, 2022Spektroskopie und Chemometrie/Machine-Learning News Wöchentlich #9, 2022Spettroscopia e Chemiometria/Machine-Learning Weekly News #9, 2022

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 8, 2022 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 8, 2022 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 8, 2022 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK




Near-Infrared Spectroscopy (NIRS)

"Research of Parameter Optimization of Preprocessing and Feature Extraction for NIRS Qualitative Analysis Based on PSO Method" LINK

"Fusion of a low-cost electronic nose and Fourier transform near-infrared spectroscopy for qualitative and quantitative detection of beef adulterated with duck." LINK

"Assessment oil composition and species discrimination of Brassicas seeds based on hyperspectral imaging and portable near infrared (NIR) spectroscopy tools and ..." LINK

"Prediksi Kualitas Buah Jambu Biji “Kristal” Secara NonDestruktif Menggunakan Portable Near Infrared Spectrometer (Nirs)" LINK

"Quantitative Analysis of Blend Uniformity within a Three-Chamber Feed Frame using Simultaneously Raman and Near-Infrared Spectroscopy" LINK

"Rapid Identification of Peucedanum Praeruptorum Dunn and its Adulterants by Hand-Held near-Infrared Spectroscopy" | LINK

"Methods of Detecting Multiple Chemical Substances Based on Near-Infrared Colloidal Quantum Dot Array and Spectral Reconstruction Algorithm" LINK

"Near-Infrared Spectroscopy Detection of Cotton/Polyester Content Based on Dropout Deep Belief Network" LINK

"Determining Pasture Biodiversity with NIRS" LINK

"Non-destructive prediction of the hotness of fresh pepper with a single scan using portable near infrared spectroscopy and a variable selection strategy." LINK

"NIR Calibration Transfer Method Based on Minimizing Mean Distribution Discrepancy" LINK

"Near infrared spectroscopy reveals instability in retinal mitochondrial metabolism and haemodynamics with blue light exposure at environmental levels" LINK

"Study on Characteristic Wavelength Extraction Method for Near Infrared Spectroscopy Identification Based on Genetic Algorithm" LINK

"Discrimination of Transgenic Canola (Brassica napus L.) and their Hybrids with B. rapa using Vis-NIR Spectroscopy and Machine Learning Methods" LINK

"Recent Advances in Application of Near-Infrared Spectroscopy for Quality Detections of Grapes and Grape Products" LINK

"Detection of calcium chloride salts in rubber cublum using Near-Infrared Spectroscopy Technique" LINK

"PLS-DA and Vis-NIR spectroscopy based discrimination of abdominal tissues of female rabbits" LINK

"Sparse Reconstruction using Block Sparse Bayesian Learning with Fast Marginalized Likelihood Maximization for Near-Infrared Spectroscopy" LINK

"Study on Online Detection Method of “Yali” Pear Black Heart Disease Based on Vis-Near Infrared Spectroscopy and AdaBoost Integrated Model" LINK

"Detection of Umami Substances and Umami Intensity Based on Near-Infrared Spectroscopy" LINK

"Farklı ana materyal üzerinde oluşmuş toprakların adli bilim için VNIRS tekniği ile spektral karakterizasyonu ve özelliklerinin tahmin edilmesi" LINK

"Prediction of soil hydraulic properties using VIS-NIR spectral data in semi-arid region of Northern Karnataka Plateau" LINK

"Rapid Assessment of Fresh Beef Spoilage Using Portable Near-Infrared Spectroscopy" LINK

"The Relationship Between Genetic Variations and NIRs Differences of Eucalyptus Pellita Provenances" LINK

"Geographical Origin Discrimination of Taiping Houkui Tea Using Convolutional Neural Network and Near-Infrared Spectroscopy" LINK

"Assessment of soil quality using VIS-NIR spectra in invaded coastal wetlands" | LINK

"Relationship Between Visible/Near Infrared Spectral Data and Fertilization Information at Different Positions of Hatching Eggs" LINK




Infrared Spectroscopy (IR) and Near-Infrared Spectroscopy (NIR)

"Near Infrared Spectral Wavelength Selection Based on Improved Team Progress Algorithm" LINK

"Coupling ATR-FTIR Spectroscopy and Chemometric Analysis for Rapid and Non-Destructive Ink Discrimination of Forensic Documents" LINK

"Model-based mid-infrared spectroscopy for on-line monitoring of volatile fatty acids in the anaerobic digester" LINK

"Depthdependent hydration dynamics in human skin: Vehiclecontrolled efficacy assessment of a functional 10% urea plus NMF moisturizer by nearinfrared confocal spectroscopic imaging (KOSIM IR) and capacitance method complemented by volunteer perception" LINK

"Detection of Umami Substances and Umami Intensity Based on Near-Infrared Spectroscopy" LINK

"Early Detection of Cauliflower Gray Mold Based on Near-Infrared Spectrum Feature Extraction" LINK




Hyperspectral Imaging (HSI)

"Hyperspectral imaging for non-destructive detection of honey adulteration" LINK

"Study on the Spectral Characteristics of Ground Objects in Land-Based Hyperspectral Imaging" LINK

"Combine Hyperspectral Imaging and Machine Learning to Identify the Age of Cotton Seeds" LINK

"Nondestructive detection of total soluble solids in grapes using VMD‐RC and hyperspectral imaging" LINK

"Nondestructive Detection of Codling Moth Infestation in Apples Using Pixel-Based NIR Hyperspectral Imaging with Machine Learning and Feature Selection" LINK

"Research on Rich Borer Detection Methods Based on Hyperspectral Imaging Technology" LINK




Chemometrics and Machine Learning

"A Data Fusion Model to Merge the Spectra Data of Intact and Powdered Cayenne Pepper for the Fast Inspection of Antioxidant Properties" LINK

"Rapid Determination of β-Glucan Content of Hulled and Naked Oats Using near Infrared Spectroscopy Combined with Chemometrics" LINK

"Prediction Model of TVB-N Concentration in Mutton Based on Near Infrared Characteristic Spectra" LINK

"Optimization of Fruit Pose and Modeling Method for Online Spectral Detection of Apple Moldy Core" LINK




Research on Spectroscopy

"Local Preserving Projection Similarity Measure Method Based on Kernel Mapping and Rank-Order Distance" LINK

"A Method for Detecting Sucrose in Living Sugarcane With Visible-NIR Transmittance Spectroscopy" LINK




Process Control and NIR Sensors

"Cognitive and linguistic dysfunction after thalamic stroke and recovery process: possible mechanism" LINK




Environment NIR-Spectroscopy Application

"Empower Innovations in Routine Soil Testing" LINK




Agriculture NIR-Spectroscopy Usage

"Preharvest phenotypic prediction of grain quality and yield of durum wheat using multispectral imaging" LINK

"Cove-Edged Graphene Nanoribbons with Incorporation of Periodic Zigzag-Edge Segments" LINK

"Utilizing near infra-red spectroscopy to identify physiologic variations during digital retinal imaging in preterm infants" | LINK




Forestry and Wood Industry NIR Usage

"Spectrometric prediction of nitrogen content in different tissue types of trees 2" LINK

"Spectrometric Prediction of Nitrogen Content in Different Tissues of Slash Pine Trees" LINK




Food & Feed Industry NIR Usage

"Optical techniques in non-destructive detection of wheat quality: A review" LINK




Chemical Industry NIR Usage

"Quantifying Polaron Mole Fractions and Interpreting Spectral Changes in Molecularly Doped Conjugated Polymers" LINK




Pharma Industry NIR Usage

"Quantitative Changes in Muscular and Capillary Oxygen Desaturation Measured by Optical Sensors during Continuous Positive Airway Pressure Titration for ..." LINK




Medicinal Spectroscopy

"406: PERIOPERATIVE NONINVASIVE NEUROMONITORING IN INFANTS WITH CONGENITAL HEART DISEASE" LINK




Laboratory and NIR-Spectroscopy

"Available on line at Directory of Open Access Journals" LINK




Other

"A Spectroscopic Study of Dysprosium-Doped TlPb2Br5 for Development of Novel Mid-IR Gain Media" LINK

"No differences in splenic emptying during on-transient supine cycling between aerobically trained and untrained participants" | LINK

"Influence of Substrate Temperature on Structural and Optical Properties of Co-Evaporated Cu2SnS3/ITO Thin Films" LINK

"Synthesis and characterization of new multinary selenides Sn4In5Sb9Se25 and Sn6. 13Pb1. 87In5. 00Sb10. 12Bi2. 88Se35" LINK





.

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 8, 2022 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 8, 2022 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 8, 2022 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK




Near-Infrared Spectroscopy (NIRS)

"Research of Parameter Optimization of Preprocessing and Feature Extraction for NIRS Qualitative Analysis Based on PSO Method" LINK

"Fusion of a low-cost electronic nose and Fourier transform near-infrared spectroscopy for qualitative and quantitative detection of beef adulterated with duck." LINK

"Assessment oil composition and species discrimination of Brassicas seeds based on hyperspectral imaging and portable near infrared (NIR) spectroscopy tools and ..." LINK

"Prediksi Kualitas Buah Jambu Biji “Kristal” Secara NonDestruktif Menggunakan Portable Near Infrared Spectrometer (Nirs)" LINK

"Quantitative Analysis of Blend Uniformity within a Three-Chamber Feed Frame using Simultaneously Raman and Near-Infrared Spectroscopy" LINK

"Rapid Identification of Peucedanum Praeruptorum Dunn and its Adulterants by Hand-Held near-Infrared Spectroscopy" | LINK

"Methods of Detecting Multiple Chemical Substances Based on Near-Infrared Colloidal Quantum Dot Array and Spectral Reconstruction Algorithm" LINK

"Near-Infrared Spectroscopy Detection of Cotton/Polyester Content Based on Dropout Deep Belief Network" LINK

"Determining Pasture Biodiversity with NIRS" LINK

"Non-destructive prediction of the hotness of fresh pepper with a single scan using portable near infrared spectroscopy and a variable selection strategy." LINK

"NIR Calibration Transfer Method Based on Minimizing Mean Distribution Discrepancy" LINK

"Near infrared spectroscopy reveals instability in retinal mitochondrial metabolism and haemodynamics with blue light exposure at environmental levels" LINK

"Study on Characteristic Wavelength Extraction Method for Near Infrared Spectroscopy Identification Based on Genetic Algorithm" LINK

"Discrimination of Transgenic Canola (Brassica napus L.) and their Hybrids with B. rapa using Vis-NIR Spectroscopy and Machine Learning Methods" LINK

"Recent Advances in Application of Near-Infrared Spectroscopy for Quality Detections of Grapes and Grape Products" LINK

"Detection of calcium chloride salts in rubber cublum using Near-Infrared Spectroscopy Technique" LINK

"PLS-DA and Vis-NIR spectroscopy based discrimination of abdominal tissues of female rabbits" LINK

"Sparse Reconstruction using Block Sparse Bayesian Learning with Fast Marginalized Likelihood Maximization for Near-Infrared Spectroscopy" LINK

"Study on Online Detection Method of “Yali” Pear Black Heart Disease Based on Vis-Near Infrared Spectroscopy and AdaBoost Integrated Model" LINK

"Detection of Umami Substances and Umami Intensity Based on Near-Infrared Spectroscopy" LINK

"Farklı ana materyal üzerinde oluşmuş toprakların adli bilim için VNIRS tekniği ile spektral karakterizasyonu ve özelliklerinin tahmin edilmesi" LINK

"Prediction of soil hydraulic properties using VIS-NIR spectral data in semi-arid region of Northern Karnataka Plateau" LINK

"Rapid Assessment of Fresh Beef Spoilage Using Portable Near-Infrared Spectroscopy" LINK

"The Relationship Between Genetic Variations and NIRs Differences of Eucalyptus Pellita Provenances" LINK

"Geographical Origin Discrimination of Taiping Houkui Tea Using Convolutional Neural Network and Near-Infrared Spectroscopy" LINK

"Assessment of soil quality using VIS-NIR spectra in invaded coastal wetlands" | LINK

"Relationship Between Visible/Near Infrared Spectral Data and Fertilization Information at Different Positions of Hatching Eggs" LINK




Infrared Spectroscopy (IR) and Near-Infrared Spectroscopy (NIR)

"Near Infrared Spectral Wavelength Selection Based on Improved Team Progress Algorithm" LINK

"Coupling ATR-FTIR Spectroscopy and Chemometric Analysis for Rapid and Non-Destructive Ink Discrimination of Forensic Documents" LINK

"Model-based mid-infrared spectroscopy for on-line monitoring of volatile fatty acids in the anaerobic digester" LINK

"Depthdependent hydration dynamics in human skin: Vehiclecontrolled efficacy assessment of a functional 10% urea plus NMF moisturizer by nearinfrared confocal spectroscopic imaging (KOSIM IR) and capacitance method complemented by volunteer perception" LINK

"Detection of Umami Substances and Umami Intensity Based on Near-Infrared Spectroscopy" LINK

"Early Detection of Cauliflower Gray Mold Based on Near-Infrared Spectrum Feature Extraction" LINK




Hyperspectral Imaging (HSI)

"Hyperspectral imaging for non-destructive detection of honey adulteration" LINK

"Study on the Spectral Characteristics of Ground Objects in Land-Based Hyperspectral Imaging" LINK

"Combine Hyperspectral Imaging and Machine Learning to Identify the Age of Cotton Seeds" LINK

"Nondestructive detection of total soluble solids in grapes using VMD‐RC and hyperspectral imaging" LINK

"Nondestructive Detection of Codling Moth Infestation in Apples Using Pixel-Based NIR Hyperspectral Imaging with Machine Learning and Feature Selection" LINK

"Research on Rich Borer Detection Methods Based on Hyperspectral Imaging Technology" LINK




Chemometrics and Machine Learning

"A Data Fusion Model to Merge the Spectra Data of Intact and Powdered Cayenne Pepper for the Fast Inspection of Antioxidant Properties" LINK

"Rapid Determination of β-Glucan Content of Hulled and Naked Oats Using near Infrared Spectroscopy Combined with Chemometrics" LINK

"Prediction Model of TVB-N Concentration in Mutton Based on Near Infrared Characteristic Spectra" LINK

"Optimization of Fruit Pose and Modeling Method for Online Spectral Detection of Apple Moldy Core" LINK




Research on Spectroscopy

"Local Preserving Projection Similarity Measure Method Based on Kernel Mapping and Rank-Order Distance" LINK

"A Method for Detecting Sucrose in Living Sugarcane With Visible-NIR Transmittance Spectroscopy" LINK




Process Control and NIR Sensors

"Cognitive and linguistic dysfunction after thalamic stroke and recovery process: possible mechanism" LINK




Environment NIR-Spectroscopy Application

"Empower Innovations in Routine Soil Testing" LINK




Agriculture NIR-Spectroscopy Usage

"Preharvest phenotypic prediction of grain quality and yield of durum wheat using multispectral imaging" LINK

"Cove-Edged Graphene Nanoribbons with Incorporation of Periodic Zigzag-Edge Segments" LINK

"Utilizing near infra-red spectroscopy to identify physiologic variations during digital retinal imaging in preterm infants" | LINK




Forestry and Wood Industry NIR Usage

"Spectrometric prediction of nitrogen content in different tissue types of trees 2" LINK

"Spectrometric Prediction of Nitrogen Content in Different Tissues of Slash Pine Trees" LINK




Food & Feed Industry NIR Usage

"Optical techniques in non-destructive detection of wheat quality: A review" LINK




Chemical Industry NIR Usage

"Quantifying Polaron Mole Fractions and Interpreting Spectral Changes in Molecularly Doped Conjugated Polymers" LINK




Pharma Industry NIR Usage

"Quantitative Changes in Muscular and Capillary Oxygen Desaturation Measured by Optical Sensors during Continuous Positive Airway Pressure Titration for ..." LINK




Medicinal Spectroscopy

"406: PERIOPERATIVE NONINVASIVE NEUROMONITORING IN INFANTS WITH CONGENITAL HEART DISEASE" LINK




Laboratory and NIR-Spectroscopy

"Available on line at Directory of Open Access Journals" LINK




Other

"A Spectroscopic Study of Dysprosium-Doped TlPb2Br5 for Development of Novel Mid-IR Gain Media" LINK

"No differences in splenic emptying during on-transient supine cycling between aerobically trained and untrained participants" | LINK

"Influence of Substrate Temperature on Structural and Optical Properties of Co-Evaporated Cu2SnS3/ITO Thin Films" LINK

"Synthesis and characterization of new multinary selenides Sn4In5Sb9Se25 and Sn6. 13Pb1. 87In5. 00Sb10. 12Bi2. 88Se35" LINK





.

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 8, 2022 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 8, 2022 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 8, 2022 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK




Near-Infrared Spectroscopy (NIRS)

"Research of Parameter Optimization of Preprocessing and Feature Extraction for NIRS Qualitative Analysis Based on PSO Method" LINK

"Fusion of a low-cost electronic nose and Fourier transform near-infrared spectroscopy for qualitative and quantitative detection of beef adulterated with duck." LINK

"Assessment oil composition and species discrimination of Brassicas seeds based on hyperspectral imaging and portable near infrared (NIR) spectroscopy tools and ..." LINK

"Prediksi Kualitas Buah Jambu Biji “Kristal” Secara NonDestruktif Menggunakan Portable Near Infrared Spectrometer (Nirs)" LINK

"Quantitative Analysis of Blend Uniformity within a Three-Chamber Feed Frame using Simultaneously Raman and Near-Infrared Spectroscopy" LINK

"Rapid Identification of Peucedanum Praeruptorum Dunn and its Adulterants by Hand-Held near-Infrared Spectroscopy" | LINK

"Methods of Detecting Multiple Chemical Substances Based on Near-Infrared Colloidal Quantum Dot Array and Spectral Reconstruction Algorithm" LINK

"Near-Infrared Spectroscopy Detection of Cotton/Polyester Content Based on Dropout Deep Belief Network" LINK

"Determining Pasture Biodiversity with NIRS" LINK

"Non-destructive prediction of the hotness of fresh pepper with a single scan using portable near infrared spectroscopy and a variable selection strategy." LINK

"NIR Calibration Transfer Method Based on Minimizing Mean Distribution Discrepancy" LINK

"Near infrared spectroscopy reveals instability in retinal mitochondrial metabolism and haemodynamics with blue light exposure at environmental levels" LINK

"Study on Characteristic Wavelength Extraction Method for Near Infrared Spectroscopy Identification Based on Genetic Algorithm" LINK

"Discrimination of Transgenic Canola (Brassica napus L.) and their Hybrids with B. rapa using Vis-NIR Spectroscopy and Machine Learning Methods" LINK

"Recent Advances in Application of Near-Infrared Spectroscopy for Quality Detections of Grapes and Grape Products" LINK

"Detection of calcium chloride salts in rubber cublum using Near-Infrared Spectroscopy Technique" LINK

"PLS-DA and Vis-NIR spectroscopy based discrimination of abdominal tissues of female rabbits" LINK

"Sparse Reconstruction using Block Sparse Bayesian Learning with Fast Marginalized Likelihood Maximization for Near-Infrared Spectroscopy" LINK

"Study on Online Detection Method of “Yali” Pear Black Heart Disease Based on Vis-Near Infrared Spectroscopy and AdaBoost Integrated Model" LINK

"Detection of Umami Substances and Umami Intensity Based on Near-Infrared Spectroscopy" LINK

"Farklı ana materyal üzerinde oluşmuş toprakların adli bilim için VNIRS tekniği ile spektral karakterizasyonu ve özelliklerinin tahmin edilmesi" LINK

"Prediction of soil hydraulic properties using VIS-NIR spectral data in semi-arid region of Northern Karnataka Plateau" LINK

"Rapid Assessment of Fresh Beef Spoilage Using Portable Near-Infrared Spectroscopy" LINK

"The Relationship Between Genetic Variations and NIRs Differences of Eucalyptus Pellita Provenances" LINK

"Geographical Origin Discrimination of Taiping Houkui Tea Using Convolutional Neural Network and Near-Infrared Spectroscopy" LINK

"Assessment of soil quality using VIS-NIR spectra in invaded coastal wetlands" | LINK

"Relationship Between Visible/Near Infrared Spectral Data and Fertilization Information at Different Positions of Hatching Eggs" LINK




Infrared Spectroscopy (IR) and Near-Infrared Spectroscopy (NIR)

"Near Infrared Spectral Wavelength Selection Based on Improved Team Progress Algorithm" LINK

"Coupling ATR-FTIR Spectroscopy and Chemometric Analysis for Rapid and Non-Destructive Ink Discrimination of Forensic Documents" LINK

"Model-based mid-infrared spectroscopy for on-line monitoring of volatile fatty acids in the anaerobic digester" LINK

"Depthdependent hydration dynamics in human skin: Vehiclecontrolled efficacy assessment of a functional 10% urea plus NMF moisturizer by nearinfrared confocal spectroscopic imaging (KOSIM IR) and capacitance method complemented by volunteer perception" LINK

"Detection of Umami Substances and Umami Intensity Based on Near-Infrared Spectroscopy" LINK

"Early Detection of Cauliflower Gray Mold Based on Near-Infrared Spectrum Feature Extraction" LINK




Hyperspectral Imaging (HSI)

"Hyperspectral imaging for non-destructive detection of honey adulteration" LINK

"Study on the Spectral Characteristics of Ground Objects in Land-Based Hyperspectral Imaging" LINK

"Combine Hyperspectral Imaging and Machine Learning to Identify the Age of Cotton Seeds" LINK

"Nondestructive detection of total soluble solids in grapes using VMD‐RC and hyperspectral imaging" LINK

"Nondestructive Detection of Codling Moth Infestation in Apples Using Pixel-Based NIR Hyperspectral Imaging with Machine Learning and Feature Selection" LINK

"Research on Rich Borer Detection Methods Based on Hyperspectral Imaging Technology" LINK




Chemometrics and Machine Learning

"A Data Fusion Model to Merge the Spectra Data of Intact and Powdered Cayenne Pepper for the Fast Inspection of Antioxidant Properties" LINK

"Rapid Determination of β-Glucan Content of Hulled and Naked Oats Using near Infrared Spectroscopy Combined with Chemometrics" LINK

"Prediction Model of TVB-N Concentration in Mutton Based on Near Infrared Characteristic Spectra" LINK

"Optimization of Fruit Pose and Modeling Method for Online Spectral Detection of Apple Moldy Core" LINK




Research on Spectroscopy

"Local Preserving Projection Similarity Measure Method Based on Kernel Mapping and Rank-Order Distance" LINK

"A Method for Detecting Sucrose in Living Sugarcane With Visible-NIR Transmittance Spectroscopy" LINK




Process Control and NIR Sensors

"Cognitive and linguistic dysfunction after thalamic stroke and recovery process: possible mechanism" LINK




Environment NIR-Spectroscopy Application

"Empower Innovations in Routine Soil Testing" LINK




Agriculture NIR-Spectroscopy Usage

"Preharvest phenotypic prediction of grain quality and yield of durum wheat using multispectral imaging" LINK

"Cove-Edged Graphene Nanoribbons with Incorporation of Periodic Zigzag-Edge Segments" LINK

"Utilizing near infra-red spectroscopy to identify physiologic variations during digital retinal imaging in preterm infants" | LINK




Forestry and Wood Industry NIR Usage

"Spectrometric prediction of nitrogen content in different tissue types of trees 2" LINK

"Spectrometric Prediction of Nitrogen Content in Different Tissues of Slash Pine Trees" LINK




Food & Feed Industry NIR Usage

"Optical techniques in non-destructive detection of wheat quality: A review" LINK




Chemical Industry NIR Usage

"Quantifying Polaron Mole Fractions and Interpreting Spectral Changes in Molecularly Doped Conjugated Polymers" LINK




Pharma Industry NIR Usage

"Quantitative Changes in Muscular and Capillary Oxygen Desaturation Measured by Optical Sensors during Continuous Positive Airway Pressure Titration for ..." LINK




Medicinal Spectroscopy

"406: PERIOPERATIVE NONINVASIVE NEUROMONITORING IN INFANTS WITH CONGENITAL HEART DISEASE" LINK




Laboratory and NIR-Spectroscopy

"Available on line at Directory of Open Access Journals" LINK




Other

"A Spectroscopic Study of Dysprosium-Doped TlPb2Br5 for Development of Novel Mid-IR Gain Media" LINK

"No differences in splenic emptying during on-transient supine cycling between aerobically trained and untrained participants" | LINK

"Influence of Substrate Temperature on Structural and Optical Properties of Co-Evaporated Cu2SnS3/ITO Thin Films" LINK

"Synthesis and characterization of new multinary selenides Sn4In5Sb9Se25 and Sn6. 13Pb1. 87In5. 00Sb10. 12Bi2. 88Se35" LINK





.

Spectroscopy and Chemometrics/Machine-Learning News Weekly #48, 2021Spektroskopie und Chemometrie/Machine-Learning News Wöchentlich #48, 2021Spettroscopia e Chemiometria/Machine-Learning Weekly News #48, 2021

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 47, 2021 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 47, 2021 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 47, 2021 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK

This week's NIR news Weekly is sponsored by Your-Company-Name-Here - NIR-spectrometers. Check out their product page ... link

Get the Spectroscopy and Chemometrics News Weekly in real time on Twitter @ CalibModel and follow us.




Near-Infrared Spectroscopy (NIRS)

"Integrative Computational Analysis of Muscle Near-Infrared Spectroscopy Signals: Effects of Oxygen Delivery and Blood Volume" LINK

"Near Infrared Spectroscopic Evaluation of Starch Properties of Diverse Sorghum Populations" LINK

"Non-Destructive Prediction of Paddy Seed Quality using Near Infrared Spectroscopy" LINK

"Orthogonal Signal Correction of Near-Infrared Spectra for the Prediction of Glucose in Human Tissue" LINK

"Joint calibration of soil Vis-NIR spectra across instruments, soil types & properties by attention-based spectra encoding-spectra/property decoding architecture" LINK

"Determining the Influence of Sample Preparation and Feed Form on the Predictability of the Near Infrared Reflectance Spectroscopy Technique" LINK

"Non-invasive Blood Glucose Detection Sensor System Based on Near-Infrared Spectroscopy" LINK

"Minerals : Salinity Monitoring at Saline Sites with VisibleNear-Infrared Spectral Data" LINK

"平均分布差异最小化的 NIR 标定迁移方法研究" LINK

"Effectiveness of visible - Near infrared spectroscopy coupled with simulated annealing partial least squares analysis to predict immunoglobulins G, A, and M concentration in bovine colostrum" LINK

"PSV-15 Using near infrared reflectance spectroscopy to predict lab scoured yield in Rambouillet sheep" | LINK

"Effective prediction of soil organic matter by deep SVD concatenation using FT-NIR spectroscopy" LINK

"Study on the identification of resistance of rice blast based on near infrared spectroscopy" LINK

"Predicting Organic Matter Content, Total Nitrogen and pH Value of Lime Concretion Black Soil Based on Visible and Near Infrared Spectroscopy" |(2011)43 LINK

"Application of near-infrared spectroscopy in detection of steroids adulteration in traditional Thai medicines" LINK

"Development of a new NIR-machine learning approach for simultaneous detection of diesel various properties" LINK




Infrared Spectroscopy (IR) and Near-Infrared Spectroscopy (NIR)

"Near infrared for white wine analysis" LINK

"Microscale Infrared Technologies for Spectral Filtering and Wireless Neural Dust" LINK

"Performance of fieldscale lab vs in situ visible/near and midinfrared spectroscopy for estimation of soil properties" LINK




Raman Spectroscopy

"Detection of SubTerahertz Raman Response and Nonlinear Optical Effects for Luminescent Yb(III) Complexes" LINK




Hyperspectral Imaging (HSI)

"Vis-NIR Hyperspectral Imaging for Online Quality Evaluation during Food Processing: A Case Study of Hot Air Drying of Purple-Speckled Cocoyam (Colocasia ..." LINK

" New Approach to the Old Challenge of Free Flap Monitoring—Hyperspectral Imaging Outperforms Clinical Assessment by Earlier Detection of Perfusion Failure" LINK

"Remote Sensing : UAV-Borne Hyperspectral Imaging Remote Sensing System Based on Acousto-Optic Tunable Filter for Water Quality Monitoring" LINK

"4D line-scan hyperspectral imaging" | LINK

"Near-infrared hyperspectral imaging for polymer particle size estimation" LINK

"Foreign Object Detection from Fresh-Cut Vegetables Using Near Infrared Hyperspectral Imaging Techniques" LINK




Chemometrics and Machine Learning

"Neural-network-powered pulse reconstruction from one-dimensional interferometric cross-correlation traces. (arXiv:2111.01014v1 [physics.optics])" LINK

"Spectral reconstruction with model-based neural network for liquid crystal modulator devices" LINK

"Supporting soil and land assessment with machine learning models using the Vis-NIR spectral response" LINK

"Applications of NIR spectroscopy and chemometrics to illicit drug analysis: An example from inhalant drug screening tests" LINK




Optics for Spectroscopy

"Polymers : Composite Materials from Renewable Resources as Sustainable Corrosion Protection Coatings" LINK

"Improvement of the Physical Properties of Electro-spun Polyacrylonitrile Nano-fibers Using the Fe2O3 Nanoparticles for Wastewater Treatment" LINK

"Nanomaterials : Facile and Sensitive Detection of Nitrogen-Containing Organic Bases with Near Infrared C-Dots Derived Assays" LINK




Facts

"On the possible benefits of deep learning for spectral preprocessing" LINK




Research on Spectroscopy

"Data : A Principal Components Analysis-Based Method for the Detection of Cannabis Plants Using Representation Data by Remote Sensing" LINK

"Foods : Inner Properties Estimation of Gala Apple Using Spectral Data and Two Statistical and Artificial Intelligence Based Methods" LINK

"Effects on volatile oil and volatile compounds of Amomum tsao-ko with different pre-drying and drying methods" LINK

"Investigation of innovative analytical techniques and methodological approaches for the analysis of phyto-cannabinoids in cannabis samples" LINK

"A Novel Compression Method of Spectral Data Matrix Based on the Low-Rank Approximation and the Fast Fourier Transform of the Singular Vectors" LINK




Equipment for Spectroscopy

"Feasibility of portable NIR spectrometer for quality assurance in glue-laminated timber production" LINK




Process Control and NIR Sensors

"Applications for remote sensing by unmanned aerial vehicles in reclamation monitoring" LINK

"282 Nutritional Monitoring of Prenatally Stressed and Translocated Brahman Heifers" LINK




Environment NIR-Spectroscopy Application

"Importance of the legacy effect for assessing spatiotemporal correspondence between interannual tree-ring width and remote sensing products in the Sierra ..." LINK

"Retrieving zinc concentrations in topsoil with reflectance spectroscopy at Opencast Coal Mine sites" | LINK




Agriculture NIR-Spectroscopy Usage

"Sustainability : Estimation of Heavy Metal(Loid) Contents in Agricultural Soil of the Suzi River Basin Using Optimal Spectral Indices" LINK

"Forage Grasses Steer Soil Nitrogen Processes, Microbial Populations, and Microbiome Composition in A Long-term Tropical Agriculture System" LINK

"Symmetric and asymmetric overgrowth of a Ag shell onto gold nanorods assisted by Pt pre-deposition" | LINK

"Agronomy : Applicability of Near Infrared Reflectance Spectroscopy to Predict Amylose Contents of Single-Grain Maize" LINK

"Nondestructive Detection of Weight Loss Rate, Surface Color, Vitamin C Content, and Firmness in Mini-Chinese Cabbage with Nanopackaging by Fourier Transform ..." LINK

"Task Complexity and Image Clarity Facilitate Motor and Visuo-Motor Activities in Mirror Therapy in Post-stroke Patients" | LINK

"Near infrared spectrometry to evaluate the feed value of forages" LINK

"Nondestructive Prediction of Anthocyanin Content of Pigmented Soybean Seeds using Hyperspectral Near-infrared imaging" LINK

"Intravascular imaging beyond ischaemia assessment: a possible way for improving risk stratification" | LINK




Horticulture NIR-Spectroscopy Applications

"Extending the use of fiber optic equipped visible/near infrared reflectance spectrometer to measure peel color of various fruits and vegetables" LINK

"High-Throughput Plant Phenotyping for the Chilling Stress of Watermelon Plants" LINK




Food & Feed Industry NIR Usage

"Quantitative detection of benzoyl peroxide in wheat flour using line-scan short-wave infrared hyperspectral imaging" LINK

"Spectroscopy of Phenolic Antioxidants" | LINK




Pharma Industry NIR Usage

"Beyond the Patient's Report: Self-Reported, Subjective, Objective and Estimated Walking Disability in Patients with Peripheral Artery Disease" LINK

"Greater plaque burden and cholesterol content may explain an increased incidence of non-culprit events in diabetic patients: a Lipid-Rich Plaque substudy" LINK

"Spatial covariation between solar-induced fluorescence and vegetation indices from Arctic-Boreal landscapes" LINK

"Spectroscopic characteristics of Xeloda chemodrug" LINK




Laboratory and NIR-Spectroscopy

"Particle-specific characterisation of non-hazardous, coarse-shredded mixed waste for real-time quality assurance" LINK




Other

"Facile fabrication of PS-CHO core-shell composite microspheres via in-situ chemical deposition and their photocatalytic application on oxidative degradation ..." LINK

"A trace CH<sub>4</sub> detection system based on DAS calibrated WMS technique" LINK

"Denitrification and dissimilatory nitrate reduction to ammonia in long-term lake sediment microcosms with iron (II)" LINK

"近红外光谱的通用聚苯乙烯牌号在线识别方法" LINK

"非均匀固体籽粒近红外光谱采集方法研究" LINK

"基于卷积神经网络和近红外光谱的太平猴魁茶产地鉴别分析" LINK

"鸡腿肌冻干粉蛋氨酸近红外光谱定量预测模型的建立与优化" LINK

"Anthocyanins – Definition, Benefits, Sources" LINK

"Varijabilnost parametara kvalitete zrna hrvatskih i stranih genotipova soje (Glycine max L.)" LINK

"Cultivation and Performance Analysis of Simultaneous Partial Nitrification, ANAMMOX, and Denitratation Granular Sludge" LINK

"CHEMICAL CHARACTERIZATION OF BARK COMPOUNDS FROM CAATINGA SPECIES" LINK



NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 47, 2021 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 47, 2021 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 47, 2021 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK

This week's NIR news Weekly is sponsored by Your-Company-Name-Here - NIR-spectrometers. Check out their product page ... link

Get the Spectroscopy and Chemometrics News Weekly in real time on Twitter @ CalibModel and follow us.




Near-Infrared Spectroscopy (NIRS)

"Integrative Computational Analysis of Muscle Near-Infrared Spectroscopy Signals: Effects of Oxygen Delivery and Blood Volume" LINK

"Near Infrared Spectroscopic Evaluation of Starch Properties of Diverse Sorghum Populations" LINK

"Non-Destructive Prediction of Paddy Seed Quality using Near Infrared Spectroscopy" LINK

"Orthogonal Signal Correction of Near-Infrared Spectra for the Prediction of Glucose in Human Tissue" LINK

"Joint calibration of soil Vis-NIR spectra across instruments, soil types & properties by attention-based spectra encoding-spectra/property decoding architecture" LINK

"Determining the Influence of Sample Preparation and Feed Form on the Predictability of the Near Infrared Reflectance Spectroscopy Technique" LINK

"Non-invasive Blood Glucose Detection Sensor System Based on Near-Infrared Spectroscopy" LINK

"Minerals : Salinity Monitoring at Saline Sites with VisibleNear-Infrared Spectral Data" LINK

"平均分布差异最小化的 NIR 标定迁移方法研究" LINK

"Effectiveness of visible - Near infrared spectroscopy coupled with simulated annealing partial least squares analysis to predict immunoglobulins G, A, and M concentration in bovine colostrum" LINK

"PSV-15 Using near infrared reflectance spectroscopy to predict lab scoured yield in Rambouillet sheep" | LINK

"Effective prediction of soil organic matter by deep SVD concatenation using FT-NIR spectroscopy" LINK

"Study on the identification of resistance of rice blast based on near infrared spectroscopy" LINK

"Predicting Organic Matter Content, Total Nitrogen and pH Value of Lime Concretion Black Soil Based on Visible and Near Infrared Spectroscopy" |(2011)43 LINK

"Application of near-infrared spectroscopy in detection of steroids adulteration in traditional Thai medicines" LINK

"Development of a new NIR-machine learning approach for simultaneous detection of diesel various properties" LINK




Infrared Spectroscopy (IR) and Near-Infrared Spectroscopy (NIR)

"Near infrared for white wine analysis" LINK

"Microscale Infrared Technologies for Spectral Filtering and Wireless Neural Dust" LINK

"Performance of fieldscale lab vs in situ visible/near and midinfrared spectroscopy for estimation of soil properties" LINK




Raman Spectroscopy

"Detection of SubTerahertz Raman Response and Nonlinear Optical Effects for Luminescent Yb(III) Complexes" LINK




Hyperspectral Imaging (HSI)

"Vis-NIR Hyperspectral Imaging for Online Quality Evaluation during Food Processing: A Case Study of Hot Air Drying of Purple-Speckled Cocoyam (Colocasia ..." LINK

" New Approach to the Old Challenge of Free Flap Monitoring—Hyperspectral Imaging Outperforms Clinical Assessment by Earlier Detection of Perfusion Failure" LINK

"Remote Sensing : UAV-Borne Hyperspectral Imaging Remote Sensing System Based on Acousto-Optic Tunable Filter for Water Quality Monitoring" LINK

"4D line-scan hyperspectral imaging" | LINK

"Near-infrared hyperspectral imaging for polymer particle size estimation" LINK

"Foreign Object Detection from Fresh-Cut Vegetables Using Near Infrared Hyperspectral Imaging Techniques" LINK




Chemometrics and Machine Learning

"Neural-network-powered pulse reconstruction from one-dimensional interferometric cross-correlation traces. (arXiv:2111.01014v1 [physics.optics])" LINK

"Spectral reconstruction with model-based neural network for liquid crystal modulator devices" LINK

"Supporting soil and land assessment with machine learning models using the Vis-NIR spectral response" LINK

"Applications of NIR spectroscopy and chemometrics to illicit drug analysis: An example from inhalant drug screening tests" LINK




Optics for Spectroscopy

"Polymers : Composite Materials from Renewable Resources as Sustainable Corrosion Protection Coatings" LINK

"Improvement of the Physical Properties of Electro-spun Polyacrylonitrile Nano-fibers Using the Fe2O3 Nanoparticles for Wastewater Treatment" LINK

"Nanomaterials : Facile and Sensitive Detection of Nitrogen-Containing Organic Bases with Near Infrared C-Dots Derived Assays" LINK




Facts

"On the possible benefits of deep learning for spectral preprocessing" LINK




Research on Spectroscopy

"Data : A Principal Components Analysis-Based Method for the Detection of Cannabis Plants Using Representation Data by Remote Sensing" LINK

"Foods : Inner Properties Estimation of Gala Apple Using Spectral Data and Two Statistical and Artificial Intelligence Based Methods" LINK

"Effects on volatile oil and volatile compounds of Amomum tsao-ko with different pre-drying and drying methods" LINK

"Investigation of innovative analytical techniques and methodological approaches for the analysis of phyto-cannabinoids in cannabis samples" LINK

"A Novel Compression Method of Spectral Data Matrix Based on the Low-Rank Approximation and the Fast Fourier Transform of the Singular Vectors" LINK




Equipment for Spectroscopy

"Feasibility of portable NIR spectrometer for quality assurance in glue-laminated timber production" LINK




Process Control and NIR Sensors

"Applications for remote sensing by unmanned aerial vehicles in reclamation monitoring" LINK

"282 Nutritional Monitoring of Prenatally Stressed and Translocated Brahman Heifers" LINK




Environment NIR-Spectroscopy Application

"Importance of the legacy effect for assessing spatiotemporal correspondence between interannual tree-ring width and remote sensing products in the Sierra ..." LINK

"Retrieving zinc concentrations in topsoil with reflectance spectroscopy at Opencast Coal Mine sites" | LINK




Agriculture NIR-Spectroscopy Usage

"Sustainability : Estimation of Heavy Metal(Loid) Contents in Agricultural Soil of the Suzi River Basin Using Optimal Spectral Indices" LINK

"Forage Grasses Steer Soil Nitrogen Processes, Microbial Populations, and Microbiome Composition in A Long-term Tropical Agriculture System" LINK

"Symmetric and asymmetric overgrowth of a Ag shell onto gold nanorods assisted by Pt pre-deposition" | LINK

"Agronomy : Applicability of Near Infrared Reflectance Spectroscopy to Predict Amylose Contents of Single-Grain Maize" LINK

"Nondestructive Detection of Weight Loss Rate, Surface Color, Vitamin C Content, and Firmness in Mini-Chinese Cabbage with Nanopackaging by Fourier Transform ..." LINK

"Task Complexity and Image Clarity Facilitate Motor and Visuo-Motor Activities in Mirror Therapy in Post-stroke Patients" | LINK

"Near infrared spectrometry to evaluate the feed value of forages" LINK

"Nondestructive Prediction of Anthocyanin Content of Pigmented Soybean Seeds using Hyperspectral Near-infrared imaging" LINK

"Intravascular imaging beyond ischaemia assessment: a possible way for improving risk stratification" | LINK




Horticulture NIR-Spectroscopy Applications

"Extending the use of fiber optic equipped visible/near infrared reflectance spectrometer to measure peel color of various fruits and vegetables" LINK

"High-Throughput Plant Phenotyping for the Chilling Stress of Watermelon Plants" LINK




Food & Feed Industry NIR Usage

"Quantitative detection of benzoyl peroxide in wheat flour using line-scan short-wave infrared hyperspectral imaging" LINK

"Spectroscopy of Phenolic Antioxidants" | LINK




Pharma Industry NIR Usage

"Beyond the Patient's Report: Self-Reported, Subjective, Objective and Estimated Walking Disability in Patients with Peripheral Artery Disease" LINK

"Greater plaque burden and cholesterol content may explain an increased incidence of non-culprit events in diabetic patients: a Lipid-Rich Plaque substudy" LINK

"Spatial covariation between solar-induced fluorescence and vegetation indices from Arctic-Boreal landscapes" LINK

"Spectroscopic characteristics of Xeloda chemodrug" LINK




Laboratory and NIR-Spectroscopy

"Particle-specific characterisation of non-hazardous, coarse-shredded mixed waste for real-time quality assurance" LINK




Other

"Facile fabrication of PS-CHO core-shell composite microspheres via in-situ chemical deposition and their photocatalytic application on oxidative degradation ..." LINK

"A trace CH<sub>4</sub> detection system based on DAS calibrated WMS technique" LINK

"Denitrification and dissimilatory nitrate reduction to ammonia in long-term lake sediment microcosms with iron (II)" LINK

"近红外光谱的通用聚苯乙烯牌号在线识别方法" LINK

"非均匀固体籽粒近红外光谱采集方法研究" LINK

"基于卷积神经网络和近红外光谱的太平猴魁茶产地鉴别分析" LINK

"鸡腿肌冻干粉蛋氨酸近红外光谱定量预测模型的建立与优化" LINK

"Anthocyanins – Definition, Benefits, Sources" LINK

"Varijabilnost parametara kvalitete zrna hrvatskih i stranih genotipova soje (Glycine max L.)" LINK

"Cultivation and Performance Analysis of Simultaneous Partial Nitrification, ANAMMOX, and Denitratation Granular Sludge" LINK

"CHEMICAL CHARACTERIZATION OF BARK COMPOUNDS FROM CAATINGA SPECIES" LINK



NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 47, 2021 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 47, 2021 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 47, 2021 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK

This week's NIR news Weekly is sponsored by Your-Company-Name-Here - NIR-spectrometers. Check out their product page ... link

Get the Spectroscopy and Chemometrics News Weekly in real time on Twitter @ CalibModel and follow us.




Near-Infrared Spectroscopy (NIRS)

"Integrative Computational Analysis of Muscle Near-Infrared Spectroscopy Signals: Effects of Oxygen Delivery and Blood Volume" LINK

"Near Infrared Spectroscopic Evaluation of Starch Properties of Diverse Sorghum Populations" LINK

"Non-Destructive Prediction of Paddy Seed Quality using Near Infrared Spectroscopy" LINK

"Orthogonal Signal Correction of Near-Infrared Spectra for the Prediction of Glucose in Human Tissue" LINK

"Joint calibration of soil Vis-NIR spectra across instruments, soil types & properties by attention-based spectra encoding-spectra/property decoding architecture" LINK

"Determining the Influence of Sample Preparation and Feed Form on the Predictability of the Near Infrared Reflectance Spectroscopy Technique" LINK

"Non-invasive Blood Glucose Detection Sensor System Based on Near-Infrared Spectroscopy" LINK

"Minerals : Salinity Monitoring at Saline Sites with VisibleNear-Infrared Spectral Data" LINK

"平均分布差异最小化的 NIR 标定迁移方法研究" LINK

"Effectiveness of visible - Near infrared spectroscopy coupled with simulated annealing partial least squares analysis to predict immunoglobulins G, A, and M concentration in bovine colostrum" LINK

"PSV-15 Using near infrared reflectance spectroscopy to predict lab scoured yield in Rambouillet sheep" | LINK

"Effective prediction of soil organic matter by deep SVD concatenation using FT-NIR spectroscopy" LINK

"Study on the identification of resistance of rice blast based on near infrared spectroscopy" LINK

"Predicting Organic Matter Content, Total Nitrogen and pH Value of Lime Concretion Black Soil Based on Visible and Near Infrared Spectroscopy" |(2011)43 LINK

"Application of near-infrared spectroscopy in detection of steroids adulteration in traditional Thai medicines" LINK

"Development of a new NIR-machine learning approach for simultaneous detection of diesel various properties" LINK




Infrared Spectroscopy (IR) and Near-Infrared Spectroscopy (NIR)

"Near infrared for white wine analysis" LINK

"Microscale Infrared Technologies for Spectral Filtering and Wireless Neural Dust" LINK

"Performance of fieldscale lab vs in situ visible/near and midinfrared spectroscopy for estimation of soil properties" LINK




Raman Spectroscopy

"Detection of SubTerahertz Raman Response and Nonlinear Optical Effects for Luminescent Yb(III) Complexes" LINK




Hyperspectral Imaging (HSI)

"Vis-NIR Hyperspectral Imaging for Online Quality Evaluation during Food Processing: A Case Study of Hot Air Drying of Purple-Speckled Cocoyam (Colocasia ..." LINK

" New Approach to the Old Challenge of Free Flap Monitoring—Hyperspectral Imaging Outperforms Clinical Assessment by Earlier Detection of Perfusion Failure" LINK

"Remote Sensing : UAV-Borne Hyperspectral Imaging Remote Sensing System Based on Acousto-Optic Tunable Filter for Water Quality Monitoring" LINK

"4D line-scan hyperspectral imaging" | LINK

"Near-infrared hyperspectral imaging for polymer particle size estimation" LINK

"Foreign Object Detection from Fresh-Cut Vegetables Using Near Infrared Hyperspectral Imaging Techniques" LINK




Chemometrics and Machine Learning

"Neural-network-powered pulse reconstruction from one-dimensional interferometric cross-correlation traces. (arXiv:2111.01014v1 [physics.optics])" LINK

"Spectral reconstruction with model-based neural network for liquid crystal modulator devices" LINK

"Supporting soil and land assessment with machine learning models using the Vis-NIR spectral response" LINK

"Applications of NIR spectroscopy and chemometrics to illicit drug analysis: An example from inhalant drug screening tests" LINK




Optics for Spectroscopy

"Polymers : Composite Materials from Renewable Resources as Sustainable Corrosion Protection Coatings" LINK

"Improvement of the Physical Properties of Electro-spun Polyacrylonitrile Nano-fibers Using the Fe2O3 Nanoparticles for Wastewater Treatment" LINK

"Nanomaterials : Facile and Sensitive Detection of Nitrogen-Containing Organic Bases with Near Infrared C-Dots Derived Assays" LINK




Facts

"On the possible benefits of deep learning for spectral preprocessing" LINK




Research on Spectroscopy

"Data : A Principal Components Analysis-Based Method for the Detection of Cannabis Plants Using Representation Data by Remote Sensing" LINK

"Foods : Inner Properties Estimation of Gala Apple Using Spectral Data and Two Statistical and Artificial Intelligence Based Methods" LINK

"Effects on volatile oil and volatile compounds of Amomum tsao-ko with different pre-drying and drying methods" LINK

"Investigation of innovative analytical techniques and methodological approaches for the analysis of phyto-cannabinoids in cannabis samples" LINK

"A Novel Compression Method of Spectral Data Matrix Based on the Low-Rank Approximation and the Fast Fourier Transform of the Singular Vectors" LINK




Equipment for Spectroscopy

"Feasibility of portable NIR spectrometer for quality assurance in glue-laminated timber production" LINK




Process Control and NIR Sensors

"Applications for remote sensing by unmanned aerial vehicles in reclamation monitoring" LINK

"282 Nutritional Monitoring of Prenatally Stressed and Translocated Brahman Heifers" LINK




Environment NIR-Spectroscopy Application

"Importance of the legacy effect for assessing spatiotemporal correspondence between interannual tree-ring width and remote sensing products in the Sierra ..." LINK

"Retrieving zinc concentrations in topsoil with reflectance spectroscopy at Opencast Coal Mine sites" | LINK




Agriculture NIR-Spectroscopy Usage

"Sustainability : Estimation of Heavy Metal(Loid) Contents in Agricultural Soil of the Suzi River Basin Using Optimal Spectral Indices" LINK

"Forage Grasses Steer Soil Nitrogen Processes, Microbial Populations, and Microbiome Composition in A Long-term Tropical Agriculture System" LINK

"Symmetric and asymmetric overgrowth of a Ag shell onto gold nanorods assisted by Pt pre-deposition" | LINK

"Agronomy : Applicability of Near Infrared Reflectance Spectroscopy to Predict Amylose Contents of Single-Grain Maize" LINK

"Nondestructive Detection of Weight Loss Rate, Surface Color, Vitamin C Content, and Firmness in Mini-Chinese Cabbage with Nanopackaging by Fourier Transform ..." LINK

"Task Complexity and Image Clarity Facilitate Motor and Visuo-Motor Activities in Mirror Therapy in Post-stroke Patients" | LINK

"Near infrared spectrometry to evaluate the feed value of forages" LINK

"Nondestructive Prediction of Anthocyanin Content of Pigmented Soybean Seeds using Hyperspectral Near-infrared imaging" LINK

"Intravascular imaging beyond ischaemia assessment: a possible way for improving risk stratification" | LINK




Horticulture NIR-Spectroscopy Applications

"Extending the use of fiber optic equipped visible/near infrared reflectance spectrometer to measure peel color of various fruits and vegetables" LINK

"High-Throughput Plant Phenotyping for the Chilling Stress of Watermelon Plants" LINK




Food & Feed Industry NIR Usage

"Quantitative detection of benzoyl peroxide in wheat flour using line-scan short-wave infrared hyperspectral imaging" LINK

"Spectroscopy of Phenolic Antioxidants" | LINK




Pharma Industry NIR Usage

"Beyond the Patient's Report: Self-Reported, Subjective, Objective and Estimated Walking Disability in Patients with Peripheral Artery Disease" LINK

"Greater plaque burden and cholesterol content may explain an increased incidence of non-culprit events in diabetic patients: a Lipid-Rich Plaque substudy" LINK

"Spatial covariation between solar-induced fluorescence and vegetation indices from Arctic-Boreal landscapes" LINK

"Spectroscopic characteristics of Xeloda chemodrug" LINK




Laboratory and NIR-Spectroscopy

"Particle-specific characterisation of non-hazardous, coarse-shredded mixed waste for real-time quality assurance" LINK




Other

"Facile fabrication of PS-CHO core-shell composite microspheres via in-situ chemical deposition and their photocatalytic application on oxidative degradation ..." LINK

"A trace CH<sub>4</sub> detection system based on DAS calibrated WMS technique" LINK

"Denitrification and dissimilatory nitrate reduction to ammonia in long-term lake sediment microcosms with iron (II)" LINK

"近红外光谱的通用聚苯乙烯牌号在线识别方法" LINK

"非均匀固体籽粒近红外光谱采集方法研究" LINK

"基于卷积神经网络和近红外光谱的太平猴魁茶产地鉴别分析" LINK

"鸡腿肌冻干粉蛋氨酸近红外光谱定量预测模型的建立与优化" LINK

"Anthocyanins – Definition, Benefits, Sources" LINK

"Varijabilnost parametara kvalitete zrna hrvatskih i stranih genotipova soje (Glycine max L.)" LINK

"Cultivation and Performance Analysis of Simultaneous Partial Nitrification, ANAMMOX, and Denitratation Granular Sludge" LINK

"CHEMICAL CHARACTERIZATION OF BARK COMPOUNDS FROM CAATINGA SPECIES" LINK



Digitization in the field of NIR spectroscopy (smart sensors) / Digitalisierung im Bereich der NIR-Spektroskopie / Digitalizzazione nel campo della spettroscopia NIR (sensori intelligenti)

Digitalization is advancing, also in NIR spectroscopy, which enables trainable miniature smart sensors e.g. for analyses in the food&feed, chemical and pharmaceutical sectors.

The calibration is the core of a NIR spectroscopy sensor, it enables the numerous applications and should therefore not be the weakest link in the measurement chain.

The development of calibrations that turn NIR spectrometers into smart sensors is done manually by experts (NIR specialist, chemometrician, data scientist) with so-called chemometrics software.

This is very time-consuming (time to market) and the result is person-dependent and thus suboptimal, because each expert has his own preferred way of proceeding.
In addition, the calibrations have to be maintained, as new data has been collected in the meantime, which can be used to extend and improve the calibrations.

This is where our automated service comes in, combining the knowledge and good practices of NIR spectroscopy and chemometrics collected in one software and using machine learning to generate optimal calibrations.

Based on this, we have developed a complete technology platform (Time to Market) that covers the entire process from sending NIR + Lab data, to NIR Calibration as a Service, from online purchase of calibrations, to NIR Predictor software that directly evaluates newly measured NIR data locally and generates result reports.

Besides the free desktop version with user interface, the NIR Predictor can also be integrated (OEM). This can be integrated in parallel as a complement to your current Predictor, allowing the user to choose how they want to calibrate.
And give them the advantage in NIR feasibility studies and NIR spectrometer evaluations to quickly provide the customer with a solid and accurate calibration that will make their NIR system deliver better results.

Advantages for your NIR users (internal or external)

  • no initial costs (no chemometrics software license required),
  • calculable operating costs (fixed amount instead of time and hourly rate) (calibration development, calibration maintenance)
  • easy to use (no chemometrics and software training),
  • quicker to use (no calibration development work) and
  • better calibrations (precision, accuracy, robustness, ...)

Our chargeable service is based on the calibration development and the annual calibration use.
Calibration development and calibration use can also be carried out separately (manufacturer / user).

For you as a spectrometer manufacturer, this means that you can deliver your system pre-calibrated for certain applications without incurring software license costs. And without your application specialists having to provide additional calibration services.

The unique advantages of our calibration service together with the free NIR Predictor are:

  • no software license costs (chemometrics software, predictor software, OEM integration)
  • no chemometrics know-how necessary
  • no time needed to develop optimal NIR calibrations.

If interested in using/evaluating the service :

About CalibrationModel.com : Time and knowledge intensive creation and optimization of chemometric evaluation methods for spectrometers as a service to enable more accurate analysis and measurement results.

see also

Paradigm Change in NIR

Five Mistakes to avoid on Digitalization in NIR

NIR - Total cost of ownership (TCO)

OEM / White Label Software

White Paper


Die Digitalisierung schreitet voran, so auch in der NIR-Spektroskopie, die trainierbare miniatur Smart-Sensors ermöglicht z.B. für Analysen im Bereich Food&Feed, Chemie und Pharma.

Die Kalibration ist das Kernstück eines NIR-Spektroskopie Sensors, sie ermöglicht die zahlreichen Applikationen und sollte darum nicht das schwächste Glied in der Messkette sein.

Das Entwickeln von Kalibrationen die NIR-Spektrometer zu Smart-Sensoren macht, wird bis an hin von Experten (NIR-Spezialist, Chemometriker, Data Scientist) manuell gemacht mit sogenannter Chemometrie Software.

Das ist sehr zeitintensiv (Time to Market) und das Ergebnis ist personenabhängig und somit suboptimal, denn jeder Experte hat seine eigene bevorzugte Weise wie er vorgeht.
Dazu kommt, dass die Kalibrationen gewartet werden müssen, da in der Zwischenzeit neue Daten gesammelt wurden, die zur Erweiterung und Verbesserung der Kalibrationen genutzt werden kann.

Hier setzt unser automatisierter Service an, der das Wissen und Good-Practices der NIR-Spektroskopie und Chemometrie gesammelt in einer Software vereint und mittels Machine-Learning optimale Kalibrationen erzeugt.

Wir haben darauf aufbauend eine komplette Technologie-Plattform entwickelt (Time to Market), die den ganzen Ablauf vom Senden der NIR + Lab Daten, zu NIR-Kalibration as a Service, vom Online-Kauf der Kalibrationen, bis hin zur NIR-Predictor Software die neu gemessene NIR Daten direkt lokal auswertet und Ergebnis Reports erstellt.

Nebst der freien Desktop Variante mit User Interface kann der NIR-Predictor auch integriert werden (OEM). Das kann parallel als Ergänzung zu ihrem jetzigen Predictor integriert werden und so dem Anwender die Wahl ermöglichen, wie er Kalibrieren möchte.
Und ihnen so den Vorteil verschaffen, bei NIR Feasibility Studies und NIR-Spektrometer Evaluationen, dem Kunden rasch eine solide und genaue Kalibration bereitzustellen, die ihr NIR System bessere Ergebnisse liefern lässt.

Vorteile für ihre NIR-Anwender (intern oder extern)

  • keine Initial-Kosten (keine Chemometrie Software Lizenz nötig),
  • kalkulierbare Betriebs Kosten (fix Betrag statt nach Aufwand und Stundensatz) (Kalibrationsentwicklung, Kalibrations-Pflege)
  • einfach Anwendbar (keine Chemometrie- und Software-Trainings),
  • schneller Einsatzbereit (keine Kalibrations-Entwicklungs Arbeit) und
  • bessere Kalibrationen (precision, accuracy, robustness, …)

Unsere kostenpflichtige Serviceleistung beruht auf der Kalibrationsentwicklung und der jährlichen Kalibrationsnutzung.
Dabei kann die Kalibrationsentwicklung und Kalibrationsnutzung auch getrennt voneinander (Hersteller / User) erfolgen.

Für Sie als Spektrometer Hersteller kommt so die Möglichkeit hinzu, dass Sie für bestimmte Applikationen ihr System Vorkalibriert ausliefern können, ohne dass Software-Lizenz-Kosten fällig werden. Und ohne dass ihre Applikations-Spezialisten zusätzliche Kalibrationsleistung erbringen müssen.

Die einzigartigen Vorteile unseres Calibrations-Service zusammen mit dem free NIR-Predictor sind:

  • keine Software Lizenz Kosten (Chemometrie Software, Predictor Software, OEM integration)
  • kein Chemometrie Know-How nötig
  • kein Zeitaufwand nötig um optimale NIR-Kalibrationen zu entwickeln.

Bei Interesse zur Nutzung/Evaluation des Services :

Über CalibrationModel.com : Zeit- und Wissens-intensive Erstellung und Optimierung von chemometrischen Auswertemethoden für Spektrometer als Service, um präzisere Analysen- und Messergebnisse zu ermöglichen.

see also

Paradigm Change in NIR

Five Mistakes to avoid on Digitalization in NIR

NIR - Total cost of ownership (TCO)

OEM / White Label Software

White Paper


La digitalizzazione sta progredendo, anche nella spettroscopia NIR, che consente l'uso di sensori intelligenti in miniatura addestrabili, ad esempio per analisi nei settori alimentare e dei mangimi, chimico e farmaceutico.

La calibrazione è il cuore di un sensore di spettroscopia NIR, consente le numerose applicazioni e non dovrebbe quindi essere l'anello più debole della catena di misura.

Lo sviluppo delle calibrazioni che trasformano gli spettrometri NIR in sensori intelligenti viene effettuato manualmente da esperti (specialista NIR, chemiometrista, scienziato dei dati) con il cosiddetto software di chemiometria.

Ciò richiede molto tempo (time to market) e il risultato dipende dalla persona ed è quindi subottimale, perché ogni esperto ha il suo modo di procedere preferito.
Inoltre, le calibrazioni devono essere mantenute, poiché nel frattempo sono stati raccolti nuovi dati che possono essere utilizzati per ampliare e migliorare le calibrazioni.

Qui entra in gioco il nostro servizio automatizzato, che combina le conoscenze e le buone pratiche della spettroscopia NIR e della chemiometria in un unico software e genera calibrazioni ottimali mediante l'apprendimento automatico.

Su questa base, abbiamo sviluppato una piattaforma tecnologica completa (Time to Market), che copre l'intero processo dall'invio dei dati NIR + Lab, alla calibrazione NIR come servizio, dall'acquisto online delle calibrazioni, al software NIR Predictor, che valuta direttamente i dati NIR appena misurati a livello locale e genera rapporti sui risultati.

Oltre alla versione desktop gratuita con interfaccia utente, il NIR Predictor può essere integrato (OEM). Questo può essere integrato in parallelo come complemento al vostro Predictor attuale, permettendo all'utente di scegliere come vuole calibrare.
Questo vi offre il vantaggio negli studi di fattibilità NIR e nelle valutazioni degli spettrometri NIR per fornire rapidamente al cliente una calibrazione solida e accurata che farà sì che il vostro sistema NIR fornisca risultati migliori.

Vantaggi per i vostri utenti NIR (interni o esterni)

  • nessun costo iniziale (non è necessaria la licenza del software di chemiometria),
  • costi operativi calcolabili (importo fisso anziché tariffa oraria) (sviluppo della taratura, manutenzione della taratura)
  • facile da usare (nessuna chemiometria e formazione software),
  • più veloce da usare (nessun lavoro di sviluppo di calibrazione) e
  • calibrazioni migliori (precisione, accuratezza, robustezza, ...)

Il nostro servizio a pagamento si basa sullo sviluppo della taratura e sull'utilizzo annuale della taratura.
Lo sviluppo della taratura e l'uso della taratura possono essere effettuati anche separatamente (produttore/utente).

Per voi, in qualità di produttori di spettrometri, ciò significa che potete fornire il vostro sistema pre-calibrato per determinate applicazioni senza incorrere in costi di licenza del software. E senza che i vostri specialisti delle applicazioni debbano fornire ulteriori servizi di taratura.

I vantaggi unici del nostro servizio di calibrazione insieme al predittore NIR Predictor gratuito sono:

  • nessun costo di licenza software (software di chemiometria, software di previsione, integrazione OEM)
  • non è necessario alcun know-how in chemiometria
  • non c'è bisogno di tempo per sviluppare calibrazioni NIR ottimali.

Se interessati all'uso/valutazione del servizio :

Informazioni su CalibrationModel.com : Creazione e ottimizzazione dei metodi di valutazione chemiometrica per gli spettrometri come servizio per consentire analisi e risultati di misura più precisi.

see also

Paradigm Change in NIR

Five Mistakes to avoid on Digitalization in NIR

NIR - Total cost of ownership (TCO)

OEM / White Label Software

White Paper

NIR Analysis in Laboratory and Laboratories – aka NIR Labs and NIR testingNIR-Analyse im Labor und in Laboratorien – aka NIR-Labore und NIR-TestsAnalisi NIR in laboratorio e nei laboratori – noti anche come laboratori NIR e test NIR


Do you have a NIR spectrometer in your Lab?

How many other analytics you do in the Lab could be done faster and cheaper with NIR?

Is this possible and precise enough?

Try, we have the solution for you!
You have the NIR, scan the samples, you have the lab values and the spectra, we calibrate for you!

To see if the application is possible and how precise it can be due to knowledge based intensive model optimizations.

We do the NIR feasibility study with data for you. Fixed prices

NIR has huge application potentials and it's a Green analytical method, that's fast and easy to use. And has today the possibility to scale out with inexpensive mobile NIR spectrometers.

Bring the Lab to the sample. To avoid sample transport and get immediate results for decision at the place or in the process.

Just try the NIR application, use the NIR daily, collect data in parallel, we develop, optimize and maintain the calibration models for you.

How do you think?

Start Calibrate


What is possible today with NIR?
The number of different Applications exploded in the last 2-3 years!
See NIR research papers news daily on @CalibModel or the 7-day summaries "NIR News Weekly" here.

Haben Sie ein NIR-Spektrometer in Ihrem Labor?

Wie viele andere Analysen, die Sie im Labor durchführen, könnten mit NIR schneller und billiger durchgeführt werden?

Ist dies möglich und präzise genug?

Versuchen Sie es, wir haben die Lösung für Sie!
Sie haben das NIR, scannen sie Proben, Sie haben die Laborwerte und die Spektren, wir kalibrieren für Sie!

Um zu sehen, ob die Anwendung möglich ist und wie präzise sie aufgrund von wissensbasierten intensiven Modelloptimierungen sein kann.

Wir führen die NIR-Machbarkeitsstudie mit Daten für Sie durch. Fixpreise

NIR hat ein riesiges Anwendungspotential und ist eine grüne Analysemethode, die schnell und einfach anzuwenden ist. Und hat heute die Möglichkeit, mit kostengünstigen mobilen NIR-Spektrometern zu skalieren.

Bringen Sie das Labor zu der Probe. So vermeiden Sie den Probentransport und erhalten sofortige Ergebnisse zur Entscheidung am Ort oder im Prozess.

Probieren Sie einfach die NIR-Anwendung aus, nutzen Sie das NIR täglich, sammeln Sie parallel dazu Daten, wir entwickeln, optimieren und warten die Kalibriermodelle für Sie.

Wie denken Sie darüber?

Start Calibrate


Was ist heute mit NIR möglich?
Die Zahl der verschiedenen Anwendungen ist in den letzten 2-3 Jahren explodiert!
Sehen Sie hier die täglichen NIR-Forschungsberichte über @CalibModel oder die 7-Tage-Zusammenfassungen "NIR News Weekly".

Avete uno spettrometro NIR nel vostro laboratorio?

Quante altre analisi si possono fare in laboratorio in modo più veloce ed economico con il NIR?

È possibile e sufficientemente preciso?

Provate, abbiamo la soluzione per voi!
Avete il NIR, scansionate i campioni, avete i valori di laboratorio e gli spettri, noi calibriamo per voi!

Per vedere se l'applicazione è possibile e quanto precisa può essere grazie all'ottimizzazione intensiva del modello basata sulla conoscenza.
Facciamo lo studio di fattibilità NIR con i dati per voi. Prezzi fissi

Il NIR ha enormi potenzialità applicative ed è un metodo analitico Green, veloce e facile da usare. E ha oggi la possibilità di scalare con gli economici spettrometri mobili NIR.
Portate il laboratorio al campione. Per evitare il trasporto del campione e ottenere risultati immediati per la decisione sul posto o nel processo.

Basta provare l'applicazione NIR, usare il NIR quotidianamente, raccogliere dati in parallelo, noi sviluppiamo, ottimizziamo e manteniamo i modelli di calibrazione per voi.

Come pensate di fare?

Inizia a calibrare


Cosa è possibile oggi con il NIR?
Il numero di diverse Applicazioni è esploso negli ultimi 2-3 anni!
Vedi le notizie dei giornali di ricerca NIR su @CalibModel o i riassunti di 7 giorni "NIR News Weekly" qui.
________________________________________________

Análise NIR no laboratório e laboratórios - também conhecidos como laboratórios NIR e testes NIR


Tem um espectrómetro NIR no seu laboratório?

Quantas outras análises que faz no Laboratório poderiam ser feitas mais rapidamente e mais baratas com o NIR? Será isto possível e suficientemente preciso?

Tente, nós temos a solução para si!

Tem o NIR, digitaliza as amostras, tem os valores de laboratório e os espectros, nós calibramos para si! Para ver se a aplicação é possível e quão precisa pode ser devido a optimizações de modelos intensivas baseadas no conhecimento.
Fazemos o estudo de viabilidade do NIR com dados para si. Preços fixos

NIR tem um enorme potencial de aplicação e é um método analítico Verde, que é rápido e fácil de usar. E tem hoje a possibilidade de ser escalado com espectrómetros NIR móveis de baixo custo.

Traga o Laboratório para a amostra. Para evitar o transporte de amostras e obter resultados imediatos para decisão no local ou no processo.

Basta experimentar a aplicação NIR, utilizar o NIR diariamente, recolher dados em paralelo, nós desenvolvemos, optimizamos e mantemos os modelos de calibração para si.

Como pensa?

Iniciar a calibração


O que é possível hoje com o NIR?
O número de diferentes Aplicações explodiu nos últimos 2-3 anos!
Ver os jornais de investigação NIR diariamente sobre @CalibModel ou os resumos de 7 dias "NIR News Weekly" aqui.
________________________________________________

El análisis NIR en el laboratorio y los laboratorios - también conocidos como laboratorios NIR y pruebas NIR


Tiene un espectrómetro NIR en su laboratorio?

Cuántos análisis más haces en el laboratorio podrían hacerse más rápido y más barato con el NIR? Es esto posible y suficientemente preciso?

¡Inténtelo, tenemos la solución para usted!
Tienes el NIR, escaneas las muestras, tienes los valores del laboratorio y los espectros, ¡calibramos para ti!

Para ver si la aplicación es posible y cuán precisa puede ser gracias a las optimizaciones intensivas de modelos basadas en el conocimiento.

Hacemos el estudio de viabilidad del NIR con los datos para usted. Precios fijos

El NIR tiene un enorme potencial de aplicación y es un método analítico verde, que es rápido y fácil de usar. Y tiene hoy la posibilidad de escalar con espectrómetros NIR móviles baratos.
Trae el laboratorio a la muestra. Para evitar el transporte de la muestra y obtener resultados inmediatos para la decisión en el lugar o en el proceso.

Pruebe la aplicación NIR, utilice el NIR diariamente, recoja los datos en paralelo, nosotros desarrollamos, optimizamos y mantenemos los modelos de calibración para usted.

Cómo cree usted?

Comenzar a calibrar


Qué es posible hoy en día con el NIR?
¡El número de aplicaciones diferentes explotó en los últimos 2-3 años!
Vea las noticias diarias de los trabajos de investigación del NIR en @CalibModel o los resúmenes de 7 días "NIR News Weekly" aquí.

Spectroscopy and Chemometrics News Weekly #32, 2020Spektroskopie und Chemometrie Neuigkeiten Wöchentlich #32, 2020Spettroscopia e Chemiometria Weekly News #32, 2020

NIR Calibration-Model Services

Increase Your Profit with optimized NIR Accuracy Laboratory QC QA Food Feed Aquaculture petfood grain milk LINK

NIR User? Get better results faster ... here is how | Food Science QC Lab Laboratory Manager chemist LabWork Chemie analytik LINK

Spectroscopy and Chemometrics News Weekly 31, 2020 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 31, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 31, 2020 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK




Near-Infrared Spectroscopy (NIRS)

"A Performance Comparison of Low-Cost Near-Infrared (NIR) Spectrometers to a Conventional Laboratory Spectrometer for Rapid Biomass Compositional Analysis" LINK

"Lifting wavelet transform for Vis-NIR spectral data optimization to predict wood density." LINK

New paper 'Comparison of Raman and Near-Infrared Chemical Mapping for the Analysis of Pharmaceutical Tablets' in from Hannah Carruthers () PhD work with Don Clark, Fiona Clarke LINK

"Peach variety detection using VIS-NIR spectroscopy and deep learning" LINK

"Rapid Screening of Phenolic Compounds from Wild Lycium ruthenicum Murr. Using Portable near-Infrared (NIR) Spectroscopy Coupled Multivariate Analysis" LINK




Infrared Spectroscopy (IR) and Near-Infrared Spectroscopy (NIR)

"Accurate Prediction of Sensory Attributes of Cheese Using Near-Infrared Spectroscopy Based on Artificial Neural Network" Sensors LINK

"Determination of Ethanol in Gel Hand Sanitizers Using Mid and Near Infrared Spectroscopy" LINK

"Dynamic monitoring of fatty acid value in rice storage based on a portable near-infrared spectroscopy system" LINK

"Establishment of an Accurate Starch Content Analysis System for Fresh Cassava Roots Using Short-Wavelength Near Infrared Spectroscopy" LINK

"Photochemical upconversion of near-infrared light from below the silicon bandgap" LINK

" Rapid determination of adulteration in virgin and copra coconut oil using Fourier transform near infrared spectroscopy" LINK

"Non-destructive determination of fat and moisture contents in salmon (Salmo salar) fillets using near-infrared hyperspectral imaging coupled with spectral and textural …" LINK

"Penentuan Kandungan Kimia Utama Minyak Nilam (Pogostemon cablin Benth.) Menggunakan Portable Near Infrared Spectroscopy" LINK

"Evaluation of an autoencoder as a feature extraction tool for near-infrared spectroscopic discriminant analysis" LINK




Chemometrics and Machine Learning

"High-precision identification of the edible oil actual storage periods by FT-NIR spectroscopy combined with chemometrics methods" LINK

"Nearinfrared multivariate model transfer for quantification of different hydrogen bonding species in aqueous systems" LINK

"Rapid determination of polysaccharides and antioxidant activity of Poria cocos using near-infrared spectroscopy combined with chemometrics" LINK

"Quantifying Soluble Sugar in Super Sweet Corn Using Near-Infrared Spectroscopy Combined with Chemometrics" LINK

"… parameter optimization for discriminant model development: A case study of differentiating Pinellia ternata from Pinellia pedatisecta with near infrared spectroscopy" LINK




Optics for Spectroscopy

"Effective of adhesives in textiles on quantitative chemical analysis of fibers." LINK




Research on Spectroscopy

"Assessment of Supercritical CO2 Extraction as a Method for Plastic Waste Decontamination" LINK




Equipment for Spectroscopy

"A Visible and Near-Infrared Light Activatable Diazo-Coumarin Probe for Fluorogenic Protein Labeling in Living Cells" LINK




Environment NIR-Spectroscopy Application

"Alterations of plastics spectra in MIR and the potential impacts on identification towards recycling" LINK

"Carbonates and organic matter in soils characterized by reflected energy from 350–25000 nm wavelength" LINK




Agriculture NIR-Spectroscopy Usage

"Remote Sensing, Vol. 12, Pages 2019: Study on Spectral Response and Estimation of Grassland Plants Dust Retention Based on Hyperspectral Data" LINK

"Application of FT-NIR spectroscopy and NIR hyperspectral imaging to predict nitrogen and organic carbon contents in mine soils" LINK




Forestry and Wood Industry NIR Usage

"The Effect of Construction and Demolition Waste Plastic Fractions on Wood-Polymer Composite Properties." LINK

"Genetic improvement of the chemical composition of Scots pine (Pinus sylvestris L.) juvenile wood for bioenergy production" LINK




Food & Feed Industry NIR Usage

"Identification of Bacterial Blight Resistant Rice Seeds Using Terahertz Imaging and Hyperspectral Imaging Combined With Convolutional Neural Network" LINK

"Compositional method for measuring the nutritional label components of industrial pastries and biscuits based on Vis/NIR spectroscopy" PUFA TUFA LINK




Beverage and Drink Industry NIR Usage

"Reliable Discrimination of Green Coffee Beans Species: A Comparison of UV-Vis-Based Determination of Caffeine and Chlorogenic Acid with Non-Targeted Near …" LINK




Laboratory and NIR-Spectroscopy

"Machine vision estimates the polyester content in recyclable waste textiles" LINK




Other

"A spectral analysis of common boreal ground lichen species" LINK

"A 3D-polyphenylalanine network inside porous alumina: Synthesis and characterization of an inorganic–organic composite membrane" LINK

"近赤外分光法と多変量解析を用いた建築用材の識別とその汎化性能向上" LINK

"Implication de la vasopressine dans l'hypoperfusion tissulaire au cours du choc cardiogénique compliquant l'infarctus du myocarde" LINK

"Spectral Characteristics and Application of Synthetic Hydrothermal Red Beryl" LINK

"Structural and optical properties of copper oxide (CuO) nanocoatings as selective solar absorber" LINK





NIR Calibration-Model Services

Increase Your Profit with optimized NIR Accuracy Laboratory QC QA Food Feed Aquaculture petfood grain milk LINK

NIR User? Get better results faster ... here is how | Food Science QC Lab Laboratory Manager chemist LabWork Chemie analytik LINK

Spectroscopy and Chemometrics News Weekly 31, 2020 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 31, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 31, 2020 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK




Near-Infrared Spectroscopy (NIRS)

"A Performance Comparison of Low-Cost Near-Infrared (NIR) Spectrometers to a Conventional Laboratory Spectrometer for Rapid Biomass Compositional Analysis" LINK

"Lifting wavelet transform for Vis-NIR spectral data optimization to predict wood density." LINK

New paper 'Comparison of Raman and Near-Infrared Chemical Mapping for the Analysis of Pharmaceutical Tablets' in from Hannah Carruthers () PhD work with Don Clark, Fiona Clarke LINK

"Peach variety detection using VIS-NIR spectroscopy and deep learning" LINK

"Rapid Screening of Phenolic Compounds from Wild Lycium ruthenicum Murr. Using Portable near-Infrared (NIR) Spectroscopy Coupled Multivariate Analysis" LINK




Infrared Spectroscopy (IR) and Near-Infrared Spectroscopy (NIR)

"Accurate Prediction of Sensory Attributes of Cheese Using Near-Infrared Spectroscopy Based on Artificial Neural Network" Sensors LINK

"Determination of Ethanol in Gel Hand Sanitizers Using Mid and Near Infrared Spectroscopy" LINK

"Dynamic monitoring of fatty acid value in rice storage based on a portable near-infrared spectroscopy system" LINK

"Establishment of an Accurate Starch Content Analysis System for Fresh Cassava Roots Using Short-Wavelength Near Infrared Spectroscopy" LINK

"Photochemical upconversion of near-infrared light from below the silicon bandgap" LINK

" Rapid determination of adulteration in virgin and copra coconut oil using Fourier transform near infrared spectroscopy" LINK

"Non-destructive determination of fat and moisture contents in salmon (Salmo salar) fillets using near-infrared hyperspectral imaging coupled with spectral and textural …" LINK

"Penentuan Kandungan Kimia Utama Minyak Nilam (Pogostemon cablin Benth.) Menggunakan Portable Near Infrared Spectroscopy" LINK

"Evaluation of an autoencoder as a feature extraction tool for near-infrared spectroscopic discriminant analysis" LINK




Chemometrics and Machine Learning

"High-precision identification of the edible oil actual storage periods by FT-NIR spectroscopy combined with chemometrics methods" LINK

"Nearinfrared multivariate model transfer for quantification of different hydrogen bonding species in aqueous systems" LINK

"Rapid determination of polysaccharides and antioxidant activity of Poria cocos using near-infrared spectroscopy combined with chemometrics" LINK

"Quantifying Soluble Sugar in Super Sweet Corn Using Near-Infrared Spectroscopy Combined with Chemometrics" LINK

"… parameter optimization for discriminant model development: A case study of differentiating Pinellia ternata from Pinellia pedatisecta with near infrared spectroscopy" LINK




Optics for Spectroscopy

"Effective of adhesives in textiles on quantitative chemical analysis of fibers." LINK




Research on Spectroscopy

"Assessment of Supercritical CO2 Extraction as a Method for Plastic Waste Decontamination" LINK




Equipment for Spectroscopy

"A Visible and Near-Infrared Light Activatable Diazo-Coumarin Probe for Fluorogenic Protein Labeling in Living Cells" LINK




Environment NIR-Spectroscopy Application

"Alterations of plastics spectra in MIR and the potential impacts on identification towards recycling" LINK

"Carbonates and organic matter in soils characterized by reflected energy from 350–25000 nm wavelength" LINK




Agriculture NIR-Spectroscopy Usage

"Remote Sensing, Vol. 12, Pages 2019: Study on Spectral Response and Estimation of Grassland Plants Dust Retention Based on Hyperspectral Data" LINK

"Application of FT-NIR spectroscopy and NIR hyperspectral imaging to predict nitrogen and organic carbon contents in mine soils" LINK




Forestry and Wood Industry NIR Usage

"The Effect of Construction and Demolition Waste Plastic Fractions on Wood-Polymer Composite Properties." LINK

"Genetic improvement of the chemical composition of Scots pine (Pinus sylvestris L.) juvenile wood for bioenergy production" LINK




Food & Feed Industry NIR Usage

"Identification of Bacterial Blight Resistant Rice Seeds Using Terahertz Imaging and Hyperspectral Imaging Combined With Convolutional Neural Network" LINK

"Compositional method for measuring the nutritional label components of industrial pastries and biscuits based on Vis/NIR spectroscopy" PUFA TUFA LINK




Beverage and Drink Industry NIR Usage

"Reliable Discrimination of Green Coffee Beans Species: A Comparison of UV-Vis-Based Determination of Caffeine and Chlorogenic Acid with Non-Targeted Near …" LINK




Laboratory and NIR-Spectroscopy

"Machine vision estimates the polyester content in recyclable waste textiles" LINK




Other

"A spectral analysis of common boreal ground lichen species" LINK

"A 3D-polyphenylalanine network inside porous alumina: Synthesis and characterization of an inorganic–organic composite membrane" LINK

"近赤外分光法と多変量解析を用いた建築用材の識別とその汎化性能向上" LINK

"Implication de la vasopressine dans l'hypoperfusion tissulaire au cours du choc cardiogénique compliquant l'infarctus du myocarde" LINK

"Spectral Characteristics and Application of Synthetic Hydrothermal Red Beryl" LINK

"Structural and optical properties of copper oxide (CuO) nanocoatings as selective solar absorber" LINK





NIR Calibration-Model Services

Increase Your Profit with optimized NIR Accuracy Laboratory QC QA Food Feed Aquaculture petfood grain milk LINK

NIR User? Get better results faster ... here is how | Food Science QC Lab Laboratory Manager chemist LabWork Chemie analytik LINK

Spectroscopy and Chemometrics News Weekly 31, 2020 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 31, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 31, 2020 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK




Near-Infrared Spectroscopy (NIRS)

"A Performance Comparison of Low-Cost Near-Infrared (NIR) Spectrometers to a Conventional Laboratory Spectrometer for Rapid Biomass Compositional Analysis" LINK

"Lifting wavelet transform for Vis-NIR spectral data optimization to predict wood density." LINK

New paper 'Comparison of Raman and Near-Infrared Chemical Mapping for the Analysis of Pharmaceutical Tablets' in from Hannah Carruthers () PhD work with Don Clark, Fiona Clarke LINK

"Peach variety detection using VIS-NIR spectroscopy and deep learning" LINK

"Rapid Screening of Phenolic Compounds from Wild Lycium ruthenicum Murr. Using Portable near-Infrared (NIR) Spectroscopy Coupled Multivariate Analysis" LINK




Infrared Spectroscopy (IR) and Near-Infrared Spectroscopy (NIR)

"Accurate Prediction of Sensory Attributes of Cheese Using Near-Infrared Spectroscopy Based on Artificial Neural Network" Sensors LINK

"Determination of Ethanol in Gel Hand Sanitizers Using Mid and Near Infrared Spectroscopy" LINK

"Dynamic monitoring of fatty acid value in rice storage based on a portable near-infrared spectroscopy system" LINK

"Establishment of an Accurate Starch Content Analysis System for Fresh Cassava Roots Using Short-Wavelength Near Infrared Spectroscopy" LINK

"Photochemical upconversion of near-infrared light from below the silicon bandgap" LINK

" Rapid determination of adulteration in virgin and copra coconut oil using Fourier transform near infrared spectroscopy" LINK

"Non-destructive determination of fat and moisture contents in salmon (Salmo salar) fillets using near-infrared hyperspectral imaging coupled with spectral and textural …" LINK

"Penentuan Kandungan Kimia Utama Minyak Nilam (Pogostemon cablin Benth.) Menggunakan Portable Near Infrared Spectroscopy" LINK

"Evaluation of an autoencoder as a feature extraction tool for near-infrared spectroscopic discriminant analysis" LINK




Chemometrics and Machine Learning

"High-precision identification of the edible oil actual storage periods by FT-NIR spectroscopy combined with chemometrics methods" LINK

"Nearinfrared multivariate model transfer for quantification of different hydrogen bonding species in aqueous systems" LINK

"Rapid determination of polysaccharides and antioxidant activity of Poria cocos using near-infrared spectroscopy combined with chemometrics" LINK

"Quantifying Soluble Sugar in Super Sweet Corn Using Near-Infrared Spectroscopy Combined with Chemometrics" LINK

"… parameter optimization for discriminant model development: A case study of differentiating Pinellia ternata from Pinellia pedatisecta with near infrared spectroscopy" LINK




Optics for Spectroscopy

"Effective of adhesives in textiles on quantitative chemical analysis of fibers." LINK




Research on Spectroscopy

"Assessment of Supercritical CO2 Extraction as a Method for Plastic Waste Decontamination" LINK




Equipment for Spectroscopy

"A Visible and Near-Infrared Light Activatable Diazo-Coumarin Probe for Fluorogenic Protein Labeling in Living Cells" LINK




Environment NIR-Spectroscopy Application

"Alterations of plastics spectra in MIR and the potential impacts on identification towards recycling" LINK

"Carbonates and organic matter in soils characterized by reflected energy from 350–25000 nm wavelength" LINK




Agriculture NIR-Spectroscopy Usage

"Remote Sensing, Vol. 12, Pages 2019: Study on Spectral Response and Estimation of Grassland Plants Dust Retention Based on Hyperspectral Data" LINK

"Application of FT-NIR spectroscopy and NIR hyperspectral imaging to predict nitrogen and organic carbon contents in mine soils" LINK




Forestry and Wood Industry NIR Usage

"The Effect of Construction and Demolition Waste Plastic Fractions on Wood-Polymer Composite Properties." LINK

"Genetic improvement of the chemical composition of Scots pine (Pinus sylvestris L.) juvenile wood for bioenergy production" LINK




Food & Feed Industry NIR Usage

"Identification of Bacterial Blight Resistant Rice Seeds Using Terahertz Imaging and Hyperspectral Imaging Combined With Convolutional Neural Network" LINK

"Compositional method for measuring the nutritional label components of industrial pastries and biscuits based on Vis/NIR spectroscopy" PUFA TUFA LINK




Beverage and Drink Industry NIR Usage

"Reliable Discrimination of Green Coffee Beans Species: A Comparison of UV-Vis-Based Determination of Caffeine and Chlorogenic Acid with Non-Targeted Near …" LINK




Laboratory and NIR-Spectroscopy

"Machine vision estimates the polyester content in recyclable waste textiles" LINK




Other

"A spectral analysis of common boreal ground lichen species" LINK

"A 3D-polyphenylalanine network inside porous alumina: Synthesis and characterization of an inorganic–organic composite membrane" LINK

"近赤外分光法と多変量解析を用いた建築用材の識別とその汎化性能向上" LINK

"Implication de la vasopressine dans l'hypoperfusion tissulaire au cours du choc cardiogénique compliquant l'infarctus du myocarde" LINK

"Spectral Characteristics and Application of Synthetic Hydrothermal Red Beryl" LINK

"Structural and optical properties of copper oxide (CuO) nanocoatings as selective solar absorber" LINK





NIR-Predictor – Manual


NIR-Predictor – Manual

Predicting Spectra

It’s easy to use with NIR-Predictor,
just drag & drop your data for getting the prediction results.

It supports an automatic file format detection.
So you don’t need to specify the instrument type and settings! See the list of supported formats and NIR Vendors: NIR-Predictor supported Spectral Data File Formats

Use the included data to checkout how it feels:

  1. Open the demo Spectra folder by using the Menu > Open Demo Spectra or press F8.
    There are files with spectra from different Vendors.
  2. Drag & drop a spectra file onto the NIR-Predictor window (or press Ctrl+O as for ’Open some files).
  3. The spectra will be
    • loaded
    • pre-processed
    • predicted and
    • reported

Note:
All the steps are fully automatic.
All calibrations that are compatible with the spectra, will produce prediction results in one go.
To select specific calibrations choose the Application. Where the ” ” empty means use all the calibrations.
To define a Application read more in chapter “Applications”

Hint:
To get access to Statistics of Predictions and Reports use the Menu > Show more/less (Ctrl+M) or you can simply resize the window. Here you can also re-do the Analyze step manually with changed inputs (e.g. Result Ordering).


Creating your own Calibrations

How it works – step by step

  1. You have measured your samples with you NIR-Instrument Software.
    And got the Lab-values of these samples.

    samples
    -> measured NIR-spectra
    -> Lab-references analytics

  2. Now you need to combine these data.

    NIR-spectra + Lab-references
    -> PropertiesBySamples

    Note: If you combined these data already in your NIR software used,
    and you can export it as a JCAMP-DX file then use
    Menu > Create Request File .req ... (F2)
    and read the “Help.html” and NIR-Predictor JCAMP.
    Else proceed as below.

    The NIR-Predictor provides tooling for that:

    Menu > Create Properties File... (F6)

    Select the folder with your NIR spectra measured for an application.
    NIR-Predictor creates a customized Properties file template for that data to enter the Lab values.

    Note: You don’t need to specify your instrument or vendor or an application. It’s all done automatically. And also the sample spectra are detected and grouped automatically!

  3. Use your favorite editor or spreadsheet program to enter and copy&paste
    the Lab-references Values into the columns “Prop1”, “Prop2” etc. and save the file.
  4. A final check of your entered data is done by NIR-Predictor,
    to make sure your data ist complete and all is fine.

    Menu > Create Calibration Request... (F7)

    Select the folder with the filled file.
    A CalibrationRequest.zip is created with the necessary data
    if enougth diverse Lab values are entered.

  5. Email the CalibrationRequest.zip file
    to info@CalibrationModel.com to develop the calibrations.
  6. When your calibrations are ready, you will receive an email with a link
    to the CalibrationModel WebShop where
    you can purchase and download the calibration files,
    that work with our free NIR-Predictor software without internet access.

    Note: Your sent NIR data is deleted after processing.
    We do not collect your NIR data!

Note: Further details can be found under “Create Properties File” and “Create Calibration Request”.


Configure the Calibrations for prediction usage

Configuration:

  1. in NIR-Predictor : Menu > Open Calibrations (F9)
  2. an explorer window is opened where the calibrations are located
  3. create a folder for your application, choose a name
  4. copy the calibration file(s) (*.cm) into that folder
  5. in NIR-Predictor : Menu > Search and load Applications (F4)

Usage:

  1. in NIR-Predictor : open the Application drop down list, and select your application by name
  2. if all is fine, the calibration file is valid and not expired, it shows : Calibration “1 valid calibation”
  3. the NIR-Predictor is now ready to predict
  4. to switch the application, goto 6.

Applications

The Application concept allows to group multiple Calibrations together for an Application. By selecting an Application before prediction, only the Calibrations belonging to the Application will be used for Prediction. In the Demo Data this is used to have multiple spectrometer as Application. This can be used easily as e.g. as Application “Meat Products” containing Fat and Moisture Calibration.

To create an Application, create a folder with the Application’s name inside the Calibrations folder, and move/copy all the Calibrations files to this Application folder. To remove a Calibration from the Application, remove the Calibration file from the Application folder.

After creating an new Application folder, press menu Search and load Applications (F4) to update the NIR-Predictor dialog where the Application can be selected via the dropdown list. You don’t need to close the NIR-Predictor.

After moving Calibration files around, press menu Search and load Calibrations (F5) to update the NIR-Predictor dialog.

The use-all case

In the NIR-Predictor dialog where the Application can be selected via the dropdown list, the empty "" name means that all (yes all) valid Calibrations will be used for prediction.

Note: The Prediction Report will contain only results from spectral compatible Calibrations with the given spectra. That allows to automatically handle the multi vendor NIR instrument usage.


Prediction Result Report

Histograms of Prediction Values per Property

Shows the distribution of the predicted results per calibration. The histogram range contains the range of the calibrated property and includes the predicted results.

The histogram bar (bin) color is defined as follow:

  • blue : all predictions inside calibration range.
  • red : all predictions outside calibration range.
  • orange : some overlaps with calibration range.
    So not all spectra in a orange bin are outside calibration range.
Histograms

Note: Predicted values are always shown in Histogram table and Prediction Value List table, even if the spectrum does not fit into model (spectrum different to model, aka Residual Outlier) shown as Out = X.

Note: Old browsers like Microsoft Internet Explorer 11 don’t support the grafics for Histogram charts. Use an current browser like Firefox or Chrome or Edge.

Note: If your browser opens the report too slow, try to deactivate some browser plugins, because they can filter what you look at and some add-ons are really slow.

Spectra Plot Thumbnail on the Prediction Report

Visualizes the min,median,max spectrum of the spectra dropped as files on the NIR-Predictor. This gives a minimal and good spectral overview of the predicted property results.

  • Spectra Plot color legend: min,median,max spectrum by predicted property or if no calibration is available by spectral intensity.
  • The min,median,max is determined from the predicted properties or if not available from the intensity of the spectra.
  • Beside the histogram of the predicted properties, where the distribution can be seen, the spectra shown are the ones from min,median,max predicted property.
  • This gives a minimal and good spectral overview of the predicted property results.
  • The “Spectral Range” and number of datapoints is shown in the Prediction Report Header below the listed spectra files.
  • To zoom the spectra plot a little, zoom the report in the browser (hold ctrl + mouse wheel, or pinch on touch screen).
  • The spectra plots and histograms are stored with the report and can be archived.

Note

  • Note that the spectra are shown in the raw values that are loaded, they are not shown pre-processed as the calibration model uses them to make the prediction.
  • Note that the median property spectrum is the median from the predicted property pobulation and not the “median” of the calibration property range.
  • Note that in the multi calibration prediction case, the spectra are selected for each property based on the related predicted property values and so the spectra plots shows typical different spectra.
Spectra Plot

Outlier Detection

To safeguard the prediction results, outliers are automatically checked for each individual prediction. This is based on limits that are determined when creating the calibration with the base data. Thus, a strange spectral measurement can be detected and signaled as an outlier even without base data only by means of the calibration and the NIR predictor. A prediction result with outlier warning is to be distrusted. How the various outlier tests are interpreted and how to avoid them in practice is described here.

The spectrum is an outlier to the model, if the spectrum is not similar with the spectra and lab-values the model is built with.

This legend is shown on each NIR-Predictor prediction report below the results:

Outlier (Out) Symbol Description

  • “X” : spectrum does not fit into model (spectrum different to model)
  • “O” : spectrum is wide outside model center (spectrum similar to model but far away)
  • “=” : prediction is outside upper or lower range of model (property outside model range)
  • “-” : spectrum is incompatible to calibration

Note: A prediction result with outlier warning is to be distrusted.

There are 3 outlier cases (X, O, =) and the incompatible data case “-”.

  • The bad case is “X”
  • the medium case is “O”
  • and the soft case is “=”.

The technical names in literature correspond to:

  • “X” : Spectral Residual Outlier
  • “O” : Leverage Outlier
  • “=” : Property Range Outlier

These 3 outlier cases can appear in combinations, like “XO=” or “XO” or “O=” or “X=”. The more outlier marker are shown the more likely the spectrum is an Outlier.

The default setting in NIR-Predictor Menu > “Report with Simplified Outlier Symbols”

  • is ON, that will show only the worst case instead of all combinations to have a simplified minimal information.
  • if OFF, that will show the combinations (e.g. “XO=” or “XO” or “O=” or “X=”), which is more informative for analyzing problem cases.

Some hints to avoid these Outliers:

  • “X” : spectrum does not fit into model (spectrum different to model)
    Check if the spectrum is noise only, or has no proper signal. That can happen when measured past the sample or measured into the air or at a different substance. If you have multiple NIR instruments of the same type, use spectra measured with different instruments for the calibration.
  • “O” : spectrum is wide outside model center (spectrum similar to model but far away) Sample temperature has an effect on NIR spectra shape, use spectra measured at different (typical use) temperatures (sample temperature, instrument temperature).
  • “=” : prediction is outside upper or lower range of model (property outside model range)
    Use more spectra for the calibration in the Lab value region where your special interest is. If the predicted value is only a little bit out of the calibration range, it can be Ok. Add these spectra to the calibration spectra (with the Lab values), to extend the prediction range of the calibration.
  • “-” : spectrum is incompatible to calibration
    The spectra (from the NIR instrument) has a different wavelength range or a different resolution than the spectra used for calibration. Check Instrument settings (wavelength range, resolution)

Result Ordering

To change the ordering, a drop-down-box is located below the Analyze button. If there is an analysis from the current session, and the Result Ordering is changed, the data is re-Analyzed and reported with the new Result Ordering setting. That allows to compare the different orderings. The Result Ordering is listed in the Prediction Report above the Prediction Value List and stored in the settings.

The order/sorting of the prediction results of the spectra can be defined:

  • GivenOrder (default) the given order of the spectra from file select dialog or drag&drop

*) sorted : ascending sort

  • Date_Name sorted by Date (if any) and then by Name
  • Name_Date sorted by Name and then by Date
  • Date_NamesWithNumbers sorted by Date (if any) and then by Name with number logic
  • NamesWithNumbers_Date sorted by Name with number logic (e.g. “ABC1” is before “ABC002” ) and then by Date

*) as above but sorted Rev : reverse sort = descending sort

  • Rev_Date_Name
  • Rev_Name_Date
  • Rev_Date_NamesWithNumbers
  • Rev_NamesWithNumbers_Date

E.g. with reverse sort by Rev_Date_Name, the newest spectra appear on top.

Depending on how many calibrations are used the result table is getting broader. To print the report (e.g. to Adobe PDF, FreePDF or Microsoft XPS), sometimes the landscape format is shorter in number of pages or in portrait a scale of 80% fits nicely. Or try another internet browser (Mozilla Firefox, Google Chrome, Microsoft Edge, …) to print the report and set the browser as your default browser so it will be opened by default.

Archiving Reports

Each report is contained in one file only, including the grafics. To save storage space the report file folder can be compressed to a zip file (.zip, .7z).


Enter lab values to NIR spectra

Entering the laboratory reference values for NIR calibrations

We have developed specialized tools into NIR-Predictor to combine the NIR and Lab data is a sample-based safe manner.

The main target is to improve Data Quality during the step of combining of the Lab data and the NIR data, because to model a good reliable calibration the data that build the base needs to be of high quality.

It also simplifies to enter the lab values manually to the corresponding NIR data, because of automatically grouping repeated NIR measurements of the same sample, so the lab values can be entered sample based and not by spectrum.

It helps to avoid false reference data, because of the broken relation of NIR spectra and reference values, data entry on the wrong position in the table.

And Helps to detect errors of duplicated or multiple copies of spectra files, and checks for inconsistencies in Date-Time and Sample-Naming. It also checks for missing values.

That all increases the Data Quality for the next step of Calibration Development, and makes data entry a less time consuming and less risky work.

How it works

  1. Menu > Create Properties File... (F6) select the folder with your NIR spectra measured for an application. NIR-Predictor creates a Properties file template for that data : PropertiesBySamples.csv.txt
  2. Use your favorite editor or spreadsheet program to enter and copy&paste the Lab Values into the columns and save the file.
  3. Menu > Create Calibration Request... (F7) select the folder with the filled file for a last check and a Calibration Request file is created with the needed data as a single zip file.
  4. Email the Calibration Request file to info@CalibrationModel.com to develop the calibrations.

Ok that is it, the NIR-Predictor guides you through the steps needed. And if you need to know more details, the Chapter “Create Properties File” is for you.

Create Properties File

Note:

  • If you have (exported) JCAMP-DX files containing the Lab-Values, you don’t need to do this step.
    You can send the JCAMP file with your Request (.req) file directly to the calibration service at info@CalibrationModel.com.
  • If your JCAMP-DX files does NOT contain Lab-Values, this is a way to go.

For calibrating the spectra to the lab-values you need to assign the lab-values to the spectra. The easiest way is to have a table where each spectrum (row) is linked to multiple lab-values (columns). This function Create Properties File build such a table for the selected spectra folder automatically!

This table is stored in the file PropertiesBySamples.csv.txt. This can be created for any spectra folder you like. The file extension is .csv.txt to make it easy to edit in a text editor and also in a spreadsheet (excel). The columns are standard TAB separated.

The file header line contains :

Sample Replicates Names Prop1 Prop2 Prop3 DateFirst DateLast Hashes

Where Name and Date describes the spectrum.

Prop1, Prop2, Prop3 are the place to enter the Lab Reference Concentrations properties corresponding to each spectrum. It can be extended to Prop4, Prop5, … etc. Of course you can enter real word names like “Fat (%)” instead of “Prop1”. It’s recommended to put the measurement unit beside the name.

Replicates is the number of replicated or repeated spectra of a sample that is grouped together in the Sample based property file. Sample name and the DateFirst / DateLast between the sample spectra are measured.

Date format is ISO-8601. Missing Dates are 0002-02-02T00:00:00.0000000.

If the file PropertiesBySamples.csv.txt already exist in the selected folder, the user will be notified (it will not be overwritten, because the file may contain user entered Lab-values). The Lab Reference Concentrations values are initialized to 0 (zero) and needed to be changed.

Note: 0 is not interpreted as missing value! If you have a 0 concentration value, put in 0 or 0.0 .

The entry of properties is as easy as possible, because it’s organized by Sample (and not by Spectra), so it’s like your Lab-Value Table that is sample based. The sample rows are sorted in a special way by Sample name. Sorting by Date or alphabetically by Sample can done easily in a spreadsheet program.

Note: when coping lab values to the samples make sure they correspond, so that there are no gaps and the sorting is the same.

The Spectra (rows) are initially sorted by name (and date) to have the replicates/repeats together. You can sort for your convenience in a spreadsheet program.

Enter the Lab Reference Concentrations to the spectra/sample.

Enter the Lab-Values in spreadsheet (e.g. Excel) or a text editor (e.g. Notepad++). If done, use the next menu Create Calibration Request.

Hints: Data handling:

  • The NIR-Predictor creates the PropertiesBySamples.csv.txt once, after that the user is responsible for its content. That means NIR-Predictor does not change this file anymore.
  • You can remove entire rows (spectra) in the property file. You don’t need to remove the spectra files. The NIR-Predictor is aware of the relation, the PropertiesBySamples.csv.txt defines what will be calibrated.
  • How to add more spectra files?

    The additional spectra can be handled in a separate folder, create the property file and copy the spectra to the other folder and copy/merge the property files together in your editor or spreadsheet.

    Or

    Copy the spectra into the folder, rename the PropertiesBySamples.csv.txt to e.g. “PropertiesBySamples-Part1.csv.txt” and use Create Properties File to create a new PropertiesBySamples.csv.txt with all the spectra. You can copy/merge the content of the Properties files together in your editor or spreadsheet.

  • What happens with possible duplicate rows? It does no harm to the Calibration because we do an exact checking and data cleaning in the calibration process.
  • What happens to duplicate spectra names? The spectra names are not relevant for the calibration process. The spectra names are helpful to assign the lab-values to the corresponding spectrum entry. That’s why the table is initially sorted by name. The spectra names can be edited by the user.

Create Calibration Request

The menu function Create Calibration Request packs a created Properties file (see “Create Properties File”) and it’s linked spectra files in a compressed ZIP file for sending to the CalibrationModel.com Service.

Please note that the number of measured quantitative samples need to be at least 60 . That means you need at least 60 different spectra (not counting the replicate/repeated measurements).

It shows additional property information about the data you have entered, like – the property type (Quantitative) – it’s range (min – max) and – the number of unique values and – if the Lab-values are enough diverse to get calibrated.

First select the folder with the PropertiesBySamples.csv.txt and measured spectra files of samples you have Lab-values. The data is checked and you get notified what is missing or might be wrong. If something needs to be changed, edit the PropertiesBySamples.csv.txt and do Create Calibration Request again. Your last selected folder is remembered, so you can press return in the folder selection dialog.

Hint: The keyboard shortcuts for redoing it after you edited some entries is : F7 Return – that allows you to get the property information quickly.

Hint: If you open the PropertiesBySamples.csv.txt in a spreadsheet program, you can create Histogram plots of the entered Lab-values, to see in which range are to less samples measurements.

When all is fine

When all is fine the “CalibrationRequest.zip” file is created for that data.

The ZIP file contains:

  • your PropertiesBySamples.csv.txt
  • your personal REQuest file for your computer system, that looks like
    e.g. “337dcdc06b2d6dfb0b5c4bba578642312edf2ae84d909281624d7e26283e8b07 WIN-GB0PB48GSK4.req”
  • the spectra data files

Note: If the CalibrationRequest.zip file is already created and you change the PropertiesBySamples.csv.txt make sure to delete the old CalibrationRequest.zip file first! In the dialog it states if it was successfully created or NOT because it already exist. So you are always on the safe side.

Note: CalibrationRequest.zip file name contains the property names to know what would be calibrated and at the end an identification number for referencing the file. E.g. “CalibrationRequest ‘Prop1’ – ‘Prop2’ h31T3wOH.zip”


Program Settings

  • The users program settings are stored in UserSettings.json
  • The program counters are stored in GlobalCounters.json

Further References