Spectroscopy and Chemometrics News Weekly #26, 2021

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 25, 2021 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK


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

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Near-Infrared Spectroscopy (NIRS)

“Thermally Stable CaLu2Mg2Si3O12:Cr3+ Phosphors for NIR LEDs” LINK

“A New Statistical Approach for fNIRS Hyperscanning to Predict Brain Activity of Preschoolers’ Using Teacher’s” LINK

“NIR: 21st-Century Innovations” LINK




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

“Suitability of the muscle O2 resaturation parameters most used for assessing reactive hyperemia: a near-infrared spectroscopy study” LINK

“Simultaneous Quantification of 14 Compounds in Achillea millefolium by GC-MS Analysis and Near-Infrared Spectroscopy Combined with Multivariate …” | LINK

“Rapid Determination of the Total Phosphorus and the Nitrate Nitrogen in Denitrifying Phosphorus Removal with iPLS and Near Infrared Spectroscopy” LINK

“Estimation of Andrographolides and Gradation of Andrographis paniculata Leaves Using Near Infrared Spectroscopy Together With Support Vector Machine” LINK

“Nondestructive Phenolic Compounds Measurement and Origin Discrimination of Peated Barley Malt using Near-infrared Hyperspectral Imagery and Machine …” LINK

” Suitability of the muscle O2 resaturation parameters most used for assessing reactive hyperemia: a near-infrared spectroscopy study” LINK

“New perspective for the in-field analysis of cannabis samples using handheld near-infrared spectroscopy: A case study focusing on the determination of Δ9 …” LINK




Hyperspectral Imaging (HSI)

“Hyperspectral Imaging Assessment of Systemic Sclerosis Using the Soft Abundance Score and Band Selection” LINK

“Comparison of Texture Feature Extraction Methods for Hyperspectral Imagery Classification” LINK

“Hyperspectral Estimation of Heavy Metal Pb Concentration in Vineyard Soil in Turpan Basin” LINK




Chemometrics and Machine Learning

“Spectroscopic Fingerprinting and Chemometrics for the Discrimination of Italian Emmer Landraces” LINK

“Determination of extractive content in Cupressus sempervirens wood through a NIRS-PLSR model and its correlation with durability” LINK

“Optimization by Means of Chemometric Tools of an Ultrasound-Assisted Method for the Extraction of Betacyanins from Red Dragon Fruit (Hylocereus polyrhizus)” LINK

“The use of vibrational spectroscopy to predict vitamin C in Kakadu plum powders” LINK

“Fast quantification of total volatile basic nitrogen (TVB-N) content in beef and pork by near-infrared spectroscopy: Comparison of SVR and PLS model” LINK

“Combination of machine learning and VIRS for predicting soil organic matter” | LINK




Facts

“Hybrid Machine Learning for Scanning Near-field Optical Spectroscopy.” LINK




Research on Spectroscopy

“Rapid Synthesis of RedEmitting Sr2Sc0.5Ga1.5O5:Eu2+ Phosphors and the Tunable Photoluminescence Via Sr/Ba Substitution” LINK




Equipment for Spectroscopy

“MEMS and MOEMS Based Visible and NearInfrared Spectrometers” LINK




Process Control and NIR Sensors

“Semi-Automatic Fractional Snow Cover Monitoring from Near-Surface Remote Sensing in Grassland” LINK




Agriculture NIR-Spectroscopy Usage

“Usage of Airborne Hyperspectral Imaging Data for Identifying Spatial Variability of Soil Nitrogen Content” LINK

“Determination of acid value during edible oil storage using a portable” LINK




Food & Feed Industry NIR Usage

“Identifying the best rice physical form for non-destructive prediction of protein content utilising near-infrared spectroscopy to support digital phenotyping” LINK

“Bioactive Phenolic Metabolites from Adriatic Brown Algae Dictyota dichotoma and Padina pavonica (Dictyotaceae)” Foods LINK

“Spectroscopic approaches for non-destructive shell egg quality and freshness evaluation: opportunities and challenges” LINK




Medicinal Spectroscopy

“Towards Development of LED-based Time-Domain Near-IR Spectroscopy System for Delineating Breast Cancer from Adjacent Normal Tissue” LINK




Other

“The Effect of Principal Component Analysis Parameters on Solar-Induced Chlorophyll Fluorescence Signal Extraction” LINK

“Er3+doped antimonysilica glass and fiber for broadband optical amplification” LINK

“Newly developed glass samples containing P2O5-B2O3-Bi2O3-Li2O-CdO and their performance in optical and radiation attenuation applications” LINK

“Discrimination and Quantitation of Biologically Relevant Carboxylate Anions Using A [DyePAMAM] Complex” Sensors LINK


Spectroscopy and Chemometrics News Weekly #51, 2020

NIR Calibration-Model Services

“Digitization in the field of NIR-Spectroscopy (smart sensors)” NIRS spectroscopy SmartSensors MachineLearning AI DigitalTransformation Digitization Switzerland LINK

NIR-Spectroscopy Method-Development Cost-Comparison To save Time and Money in NIR-spectroscopy, use a Digital Expert Service to build spectroscopic calibration models. LINK

Quantitative Analytical NIR Method Development for Quality Control Laboratory & Analytical Laboratories | pauto QAQC LINK

Spectroscopy and Chemometrics News Weekly 50, 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 50, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 50, 2020 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK

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




Near-Infrared Spectroscopy (NIRS)

“Applications of NIR Techniques in Polymer Coatings and Synthetic Textiles” LINK

“Application of Near-Infrared Hyperspectral (NIR) images combined with multivariate image analysis in the differentiation of two mycotoxicogenic Fusarium species …” LINK

“Exploring the potential of NIRS technology for the in situ prediction of amygdalin content and classification by bitterness of in-shell and shelled intact almonds” LINK

“An in-depth study of cheese ripening by means of NIR hyperspectral imaging: spatial mapping of dehydration, proteolysis and lipolysis” LINK

“Potential of smartphone-coupled micro NIR spectroscopy for quality control of green tea.” LINK

“Quantification of Natural Rubber in Taraxacum kok-saghyz by Near Infrared Reflectance Spectroscopy” LINK




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

“Near-Infrared Spectroscopy in the Pharmaceutical Industry” LINK

“Novel Similarity Methods Evaluation and Feasible Application for Pharmaceutical Raw Material Identification with Near-Infrared Spectroscopy” LINK

“Multivariate classification for the direct determination of cup profile in coffee blends via handheld near-infrared spectroscopy.” LINK

“Assessing the interaction between drying and addition of maltodextrin to Kakadu plum powder samples by two dimensional and near infrared spectroscopy.” LINK

“Response of Mycorrhizal ‘Touriga Nacional’ Variety Grapevines to High Temperatures Measured by Calorespirometry and Near-Infrared Spectroscopy” LINK

“Development and validation of hematocrit level measurement in dried blood spots using Near-Infrared spectroscopy.” LINK




Hyperspectral Imaging (HSI)

“Hyperspectral imaging for VIS-SWIR classification of post-consumer plastic packaging products by polymer and color” LINK




Chemometrics and Machine Learning

“Probabilistic classification models for the in situ authentication of iberian pig carcasses using near infrared spectroscopy.” LINK

“A rapid food chain approach for authenticity screening: The development, validation and transferability of a chemometric model using two handheld near infrared spectroscopy (NIRS) devices.” LINK

“Simultaneous Prediction of Soil Properties Using Multi_CNN Model.” LINK




Equipment for Spectroscopy

“Nondestructive and rapid grading of tobacco leaves by use of a hand-held near-infrared spectrometer, based on a particle swarm optimization-extreme learning machine algorithm” LINK




Process Control and NIR Sensors

“Near-Infrared Spectroscopy as a Process Analytical Technology Tool for Monitoring the Steaming Process of Gastrodiae rhizoma with Multiparameters and …” LINK

“Engineering the optical and magnetic properties of Zn doped CoFe2O4 nanoparticles” LINK




Environment NIR-Spectroscopy Application

“In-situ multiple parameter calibration and mapping using a mobile soil sensor” LINK

“Algorithm for Mapping Kidney Tissue Water Content during Normothermic Machine Perfusion Using Hyperspectral Imaging” LINK




Agriculture NIR-Spectroscopy Usage

“Physico-Chemical, Sensory and Texture Properties of an Aged Mexican Manchego-Style Cheese Produced from Hair Sheep Milk” LINK

“THE BIOCHEMICAL COMPOSITION AND THE FEED VALUE OF GREEN MASS AND SILAGE FROM Cynara cardunculus AND Helianthus tuberosus IN THE REPUBLIC OF MOLDOVA” LINK

“Grading Method of Soybean Mosaic Disease Based on Hyperspectral Imaging Technology” LINK

“Predicting micronutrients of wheat using hyperspectral imaging.” LINK

“Validation of pressurized fractionated filtration microplastic sampling in controlled test environment.” LINK

“In-Situ Screening of Soybean Quality with a Novel Handheld Near-Infrared Sensor.” LINK




Food & Feed Industry NIR Usage

“Rapid determination of total phenolic content of whole wheat flour using near-infrared spectroscopy and chemometrics” LINK

“Map-based variable-rate manure application in wheat using a data fusion approach” LINK




Pharma Industry NIR Usage

“Rapid Assessment of Compositional Stability in Improved Sweet Potato Varieties: Relevance in Breeding and Utilization” LINK




Other

“Development of a novel quantitative function between spectral value and metmyoglobin content in Tan mutton.” LINK

“Predição de características bromatológicas em Arachis pintoi Krap & Greg. via espectroscopia de reflectância do infravermelho próximo.” LINK

“Study of structural, morphological, optical and electrical properties of calcium titanate” LINK





.

Digitization in the field of NIR spectroscopy (smart sensors)

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



Spectroscopy and Chemometrics News Weekly #49, 2020

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 48, 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 48, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 48, 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)

“NIR spectroscopy of natural medicines supported by novel instrumentation and methods for data analysis and interpretation” LINK

“A fast determination of insecticide deltamethrin by spectral data fusion of UV-vis and NIR based on extreme learning machine” LINK

“Assessing Laser Cleaning of a Limestone Monument by Fiber Optics Reflectance Spectroscopy (FORS) and Visible and Near-Infrared (VNIR) Hyperspectral Imaging …” LINK

“Near infrared spectroscopy combined with chemometrics to detect and quantify adulteration of maca powder ” LINK

“Potential of smartphone-coupled micro NIR spectroscopy for quality control of green tea” LINK

“APPLICATION OF VIS–NIR HYPERSPECTRAL IMAGING FOR PREDICTION OF FLAVONOIDS, ANTHOCYANINS AND SOLUBLE SOLIDS CONTENT IN …” LINK




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

“Determination of Adenosine and Cordycepin Concentrations in Cordyceps militaris Fruiting Bodies Using Near-Infrared Spectroscopy.” LINK

“… : Prediction of α-Lactalbumin and β-Lactoglobulin Composition of Aqueous Whey Solutions Using Fourier Transform Mid-Infrared and Near-Infrared Spectroscopy” LINK

“The Effect of Freeze-Drying Pretreatment on the Accuracy of Near Infrared Spectroscopic Food Analysis to Predict the Nutritive Values of Japanese Cooked Foods” LINK

“Estimating hardness and density of wood and charcoal by near-infrared spectroscopy” LINK

“Assessing the interaction between drying and addition of maltodextrin to Kakadu plum powder samples by two dimensional and near infrared spectroscopy” LINK

“Near-infrared Spectroscopy and Hyperspectral Imaging for Sugar Content Evaluation in Potatoes over Multiple Growing Seasons” LINK

“Determination of radial profiles of wood properties using a near infrared scanning system” LINK

“FTIR combined with chemometric tools (Fingerprinting spectroscopy) in comparison to HPLC; Which strategy offers more opportunities as a green analytical chemistry technique for the pharmaceutical analysis” LINK

“Prediction of high-biomass sorghum quality using near infrared spectroscopy to monitoring calorific value, moisture, and ash content.” LINK




Raman Spectroscopy

“Preliminary Assessment of Parmigiano Reggiano Authenticity by Handheld Raman Spectroscopy” LINK




Hyperspectral Imaging (HSI)

“Hyperspectral Imaging for Minced Meat Classification Using Nonlinear Deep Features” LINK

“Monitoring microstructural changes and moisture distribution of dry-cured pork-A combined confocal laser scanning microscopy and hyperspectral imaging study.” LINK

“Monitoring Urban Black-Odorous Water by Using Hyperspectral Data and Machine Learning” LINK


Chemometrics and Machine Learning

“Development of multi-product calibration models of various root and tuber powders by fourier transform near infra-red (FT-NIR) spectroscopy for the quantification of polysaccharide contents.” LINK


Research on Spectroscopy

“Extraction of rheological-optical characteristics of rice single kernel, in order to develop an instrumental method for determining grain quality” LINK




Equipment for Spectroscopy

“Near-infrared spectroscopy in quality control of Piper nigrum: A Comparison of performance of benchtop and handheld spectrometers” Pepper LINK




Process Control and NIR Sensors

“De-risking excipient particle size distribution variability with automated robust mixing: Integrating quality by design and process analytical technology.” LINK

“Evaluation of IoT-Enabled Monitoring and Electronic Nose Spoilage Detection for Salmon Freshness During Cold Storage” Foods LINK




Agriculture NIR-Spectroscopy Usage

“Impact of Goji Berries (Lycium barbarum) Supplementation on the Energy Homeostasis of Rabbit Does: Uni- and Multivariate Approach” Animals LINK

“Chemometrics in NIR Hyperspectral Imaging: Theory and Applications in the Agricultural Crops and Products Sector” LINK




Horticulture NIR-Spectroscopy Applications

“Watermelon ripeness detector using near infrared spectroscopy” LINK




Food & Feed Industry NIR Usage

“Portable NIR spectrometer for quick identification of fat bloom in chocolates.” LINK

“Non-destructive identification of slightly sprouted wheat kernels using hyperspectral data on both sides of wheat kernels” LINK




Pharma Industry NIR Usage

“Application of Process Analytical Technology in Active Pharmaceutical Ingredient Production (PAT)” LINK




Medicinal Spectroscopy

“Microwave Ablation Efficacy Evaluation of Bone Tissue Based on Near Infrared Spectrum” LINK




Laboratory and NIR-Spectroscopy

“Simultaneous prediction of several soil properties related to engineering uses based on laboratory Vis-NIR reflectance spectroscopy” LINK




Other

“ニューラルネットワークを用いた近赤外ハイパースペクトル画像におけるプラーク検出” Dental Plaque Detection LINK

“Preparation and characterization of triamterene complex with ascorbic acid derivatives” LINK

Spectroscopy and Chemometrics News Weekly #45, 2020

NIR Calibration-Model Services

Get the NIR-Spectroscopy and Chemometrics (Machine-Learning) News Weekly in real time on Twitter @ CalibModel and follow us.

Spectroscopy and Chemometrics News Weekly 44, 2020 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Food Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK




Near-Infrared Spectroscopy (NIRS)

” Investigating the Effect of Near Infra-red Spectroscopy (NIRS) on Early Diagnosis of Cardiac Surgery Associated Acute Kidney Injury” LINK

“Routine NIRS analysis methodology to predict quality and safety indexes in spinach plants during their growing season in the field” LINK

“AVANCES EN EL DESARROLLO DE MODELOS DE PREDICCIÓN DE FINURA EN FIBRA DE LLAMA Y VICUÑA CON ESPECTROSCOPÍA NIR” LINK

“Pine nut species recognition using NIR spectroscopy and image analysis” LINK

“Fast and Non-Destructive Prediction of Moisture Content and Chologenic Acid of Intact Coffee Beans Using Near Infrared Reflectance Spectroscopy”LINK




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

“Kernel partial least squares model for pectin content in peach using near‐infrared spectroscopy” LINK

“Non-Invasive Analysis of Actinic Keratosis before and after Topical Treatment Using a Cold Stimulation and Near-Infrared Spectroscopy.” LINK

“Evaluation of Dianhong black tea quality using nearinfrared hyperspectral imaging technology” LINK

“Detection of the quality of juicy peach during storage by visible/near infrared spectroscopy” LINK




Hyperspectral Imaging (HSI)

“Discrimination of common defects in loquat fruit cv.’Algerie’using hyperspectral imaging and machine learning techniques” LINK




Chemometrics and Machine Learning

“Improving moisture and soluble solids content prediction in pear fruit using near-infrared spectroscopy with variable selection and model updating approach” LINK

“Rapid high-throughput determination of major components and amino acids in a single peanut kernel based on portable near-infrared spectroscopy combined with chemometrics” LINK

“Categorization and authentication of Beijingyou chicken from four breeds of chickens using nearinfrared hyperspectral imaging combined with chemometrics” LINK

“Applied Sciences, Vol. 10, Pages 6724: Classification of Rice and Starch Flours by Using Multiple Hyperspectral Imaging Systems and Chemometric Methods” LINK

“Spectral Fingerprints Predict Functional Phenotypes of a Native Shrub” LINK




Equipment for Spectroscopy

“Evaluation of black tea by using smartphone imaging coupled with micro-near-infrared spectrometer” LINK




Process Control and NIR Sensors

“Real-time determination and visualization of two independent quantities during a manufacturing process of pharmaceutical tablets by near-infrared hyperspectral imaging combined with …” LINK




Environment NIR-Spectroscopy Application

“Effect of organic fertilizers on glomalin content and soil organic matter quality” LINK

“A combined data mining approach for on-line prediction of key soil quality indicators by Vis-NIR spectroscopy” LINK

“Identification of Plastic Type and Surface Roughness of Film-Type Plastics in Water Using KramersKronig Analysis” Chemosensors LINK




Agriculture NIR-Spectroscopy Usage

“Hyperspectral and Thermal Sensing of Stomatal Conductance, Transpiration, and Photosynthesis for Soybean and Maize under Drought” LINK

“Agriculture, Vol. 10, Pages 436: Machine Learning for Plant Breeding and Biotechnology” LINK

“Soil Organic Carbon Stabilization: Influence of Tillage on Mineralogical and Chemical Parameters” LINK




Horticulture NIR-Spectroscopy Applications

“Application of Vis/NIR spectroscopy for the estimation of soluble solids, dry matter and flesh firmness in stone fruits” LINK




Medicinal Spectroscopy

“Quantitative diffuse optical spectroscopy for noninvasive measurements of the malaria pigment hemozoin” LINK




Other

“Structural and Optical Characterization of As-grown and Annealed ZnxCd1-xS Thin-films by CBD for Solar Cell Applications” LINK

“Rapid SARS-CoV-2 Detection by Carbon Nanotube-Based Near-Infrared Nanosensors” LINK

“Structural, electrochemical and optical properties of 1, 2, 4-triazine derivative” LINK




Spectroscopy and Chemometrics News Weekly #22, 2020

NIR Calibration-Model Services

New Free NIR-Predictor V2.6 software is released – Reads and predicts *.spc spectra file format (Thermo-Scientific / Galactic GRAMS) – Spectra Plots on the Prediction Reports NIRS NIR Spectroscopy Spectrometer QualityControl Lab Laboratory Analysis LINK
Spectra Plot


Spectroscopy and Chemometrics News Weekly 21, 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 21, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 21, 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)

“NIR spectroscopy application for determination caffeine content of Arabica green bean coffee” LINK

“Review of NIR spectroscopy methods for nondestructive quality analysis of oilseeds and edible oils” LINK

“Omega-3 and Omega-6 Determination in Nile Tilapia’s Fillet Based on MicroNIR Spectroscopy and Multivariate Calibration” LINK

“Determination of metmyoglobin in cooked tan mutton using Vis/NIR hyperspectral imaging system” LINK

“Prediction of water content in Lintong green bean coffee using FT-NIRS and PLS method” LINK

Discrimination of legal and illegal Cannabis spp. according to European legislation using near infrared spectroscopy and chemometrics. LINK

“A system using in situ NIRS sensors for the detection of product failing to meet quality standards and the prediction of optimal postharvest shelf-life in the case of oranges kept in cold storage” LINK

“Estimation of Harumanis (Mangifera indica L.) Sweetness using Near-Infrared (NIR) Spectroscopy” LINK

“Near-Infrared (NIR) Spectroscopy to Differentiate Longissimus thoracis et lumborum (LTL) Muscles of Game Species” LINK




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

“Rapid and Non-destructive Detecting Frying Times of Peanut Oil Based on Near Infrared Reflectance Spectroscopy” LINK

“Different Supervised and unsupervised classification approaches based on Visible/Near infrared spectral analysis for discrimination of microbial contaminated lettuce …” LINK

“Nondestructive determination of lignin content in Korla fragrant pear based on near-infrared spectroscopy” LINK

“Monitoring the Progress and Healing Status of Burn Wounds Using Infrared Spectroscopy” LINK

“Detection of melamine and sucrose as adulterants in milk powder using near-infrared spectroscopy with DD-SIMCA as one-class classifier and MCR-ALS … forensic evidence” LINK

“Differentiating Between Malignant Mesothelioma and Other Pleural Lesions Using Fourier Transform Infrared Spectroscopy” LINK

“Confirmation of brand identification in infant formulas by near-infrared spectroscopy fingerprints” LINK

“Near-infrared spectroscopy of the placenta for monitoring fetal oxygenation during labour.” LINK

“Impact of H2O on atmospheric CH4 measurement in near-infrared absorption spectroscopy.” LINK

“Application of near-infrared hyperspectral imaging to identify a variety of silage maize seeds and common maize seeds” LINK

“Protein, weight, and oil prediction by single-seed near-infrared spectroscopy for selection of seed quality and yield traits in pea (Pisum sativum).” phenotyping LINK

“Multiple-depth Modeling of Soil Organic Carbon using Visible–Near Infrared Spectroscopy” LINK

“Non-Invasive Blood Glucose Monitoring using Near-Infrared Spectroscopy based on Internet of Things using Machine Learning” LINK

“Simultaneous determination of antioxidant properties and total phenolic content of Siraitia grosvenorii by near infrared spectroscopy” LINK

“Rapid quantitative detection of mineral oil contamination in vegetable oil by near-infrared spectroscopy” LINK

“Estimating δ15N and δ13C in Barley and Pea Mixtures Using Near-Infrared Spectroscopy with Genetic Algorithm Based Partial Least Squares Regression” LINK

“Investigating the Quality of Antimalarial Generic Medicines Using Portable Near-Infrared Spectroscopy” LINK

“THE DETERMINATION OF FATTY ACIDS IN CHEESES OF VARIABLE COMPOSITION (COW, EWE’S, AND GOAT) BY MEANS OF NEAR INFRARED SPECTROSCOPY” LINK

“Protein, weight, and oil prediction by singleseed nearinfrared spectroscopy for selection of seed quality and yield traits in pea (Pisum sativum)” LINK




Raman Spectroscopy

“Raman Technology for Today’s Spectroscopists” LINK

“Diagnosis of Citrus Greening using Raman Spectroscopy-Based Pattern Recognition” LINK




Hyperspectral Imaging (HSI)

“Classification of Hyperspectral Endocrine Tissue Images Using Support Vector Machines.” LINK

“Using dual-channel CNN to classify hyperspectral image based on spatial-spectral information” LINK

“Diagnosis of Late Blight of Potato Leaves Based on Deep Learning Hyperspectral Images” LINK

“Rapid detection of quality index of postharvest fresh tea leaves using hyperspectral imaging.” LINK

“Applied Sciences, Vol. 10, Pages 2259: Hyperspectral Inversion Model of Chlorophyll Content in Peanut Leaves” LINK

“Non-Destructive Detection of Tea Leaf Chlorophyll Content Using Hyperspectral Reflectance and Machine Learning Algorithms” LINK

“Rapid detection of quality index of postharvest fresh tea leaves using hyperspectral imaging” LINK




Chemometrics and Machine Learning

“Rapid detection of saffron (Crocus sativus L.) Adulterated with lotus stamens and corn stigmas by near-infrared spectroscopy and chemometrics” LINK

“Simultaneous quantification of active constituents and antioxidant capability of green tea using NIR spectroscopy coupled with swarm intelligence algorithm” LINK

“Comparison of CNN Algorithms on Hyperspectral Image Classification in Agricultural Lands” LINK

“Molecules, Vol. 25, Pages 1453: Characterization, Quantification and Quality Assessment of Avocado (Persea americana Mill.) Oils” LINK

“Identification of Tea Diseases Based on Spectral Reflectance and Machine Learning” LINK

“Machine learning estimators for the quantity and quality of grass swards used for silage production using drone-based imaging spectrometry and …” LINK




Research on Spectroscopy

“Lanthanide complexes with N-(2, 6-dimethylphenyl) oxamate: Synthesis, characterisation and cytotoxicity” LINK

“Automatisierte und digitale Dokumentation der Applikation organischer Düngemittel” LINK




Equipment for Spectroscopy

“Evaluation of Depth Measurement Method Based on Spectral Characteristics Using Hyperspectrometer” LINK

“Monitoring wine fermentation deviations using an ATR-MIR spectrometer and MSPC charts” LINK




Process Control and NIR Sensors

“Process analytical technology tools for process control of roller compaction in solid pharmaceuticals manufacturing.” LINK




Agriculture NIR-Spectroscopy Usage

“The effect of bubble formation within carbonated drinks on the brewage foamability, bubble dynamics and sensory perception by consumers” LINK

“Rapid Measurement of Soybean Seed Viability Using Kernel-Based Multispectral Image Analysis” LINK

“Remote Sensing, Vol. 12, Pages 1256: Crop Separability from Individual and Combined Airborne Imaging Spectroscopy and UAV Multispectral Data” LINK

“Portable IoT NIR Spectrometer for Detecting Undesirable Substances in Forages of Dairy Farms” LINK

“Hyperspectral imaging using multivariate analysis for simulation and prediction of agricultural crops in Ningxia, China” LINK

“Automatisierte und digitale Dokumentation der Applikation organischer Düngemittel” LINK




Horticulture NIR-Spectroscopy Applications

” Nondestructive determining the soluble solids content of citrus using near infrared transmittance technology combined with the variable selection algorithm” LINK




Food & Feed Industry NIR Usage

“Statistical Analysis of Protein Content in Wheat Germplasm Based on Near-infrared Reflectance Spectroscopy” LINK

“Prediction of infertile chicken eggs before hatching by the Naïve-Bayes method combined with visible near infrared transmission spectroscopy” LINK




Other

“Microsoft lays off journalists to replace them with AI” LINK