Spectroscopy and Chemometrics/Machine-Learning News Weekly #2, 2022

NIR Calibration-Model Services

NIR Spectrometry Custom Applications for chemical analysis | laboratory analyzer analyser QA QC Testing QAQC LINK

Protip: For NIR Spectroscopy Data Analysis use a Data Analytics Service that is NIR Domain related LINK

Spectroscopy and Chemometrics News Weekly 1, 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 1, 2022 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 1, 2022 | 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)

“Minerals : VIS-NIR/SWIR Spectral Properties of H2O Ice Depending on Particle Size and Surface Temperature” LINK

“AKURASI KESAMAAN KELOMPOK DATA BERDASARKAN FCM DAN PCA-FCM PADA DATA GULA DARAH HASIL PEMINDAIAN NIRS TERHADAP DATA GULA …” LINK

“Prediksi Kehilangan Hara Pada Tanah Tererosi Menggunakan Near Infrared Reflectance Spectroscopy (NIRS)” LINK

“Aplikasi Teknologi Near Infrared Reflectance Spectroscopy Dengan Metode Partial Least Square Untuk Prediksi Kadar Patchouli Alkohol Minyak Nilam” LINK

“Near infrared spectroscopy and aquaphotomics evaluation of the efficiency of solar dehydration processes in pineapple slices” LINK

“Comparisons of commercially available NIRS-based analyte predictions of haylage quality for equid nutrition” LINK

“Rapid discrimination of wood species from native forest and plantations using near infrared spectroscopy” LINK

“Identification of cocoa bean quality by near infrared spectroscopy and multivariate modeling” LINK

“The Influence of Ingredients, Corn Particle Size, and Sample Preparation on the Predictability of the Near Infrared Reflectance Spectroscopy” LINK

“Machine Learning Approach Using a Handheld Near-Infrared (NIR) Device to Predict the Effect of Storage Conditions on Tomato Biomarkers” LINK

“Solid Physical State Transformation in Hot Melt Extrusion Revealed by Inline Near-Infrared (NIR) Spectroscopy and Offline Terahertz (THz) Raman Imaging” LINK

“Thermal Insulation Performance of Novel Coated Fabrics Based on Fe-Doped BaSnO3 Near-Infrared Reflectance Pigments” LINK

“Non-destructive method for discrimination of weedy rice using near infrared spectroscopy and modified self-organizing maps (SOMs)” LINK

“Potential of VIS/NIR spectroscopy to detect and predict bitter pit in ‘Golden Smoothee’apples” LINK

“Litterbag-NIRS to Forecast Yield: a Horticultural Case with Biofertilizer Effectors” | LINK

“Determination of SSC and TA content of pear by Vis-NIR spectroscopy combined CARS and RF algorithm” LINK

“Evaluation of the robustness of a novel NIR-based technique to measure the residual moisture in freeze-dried products” LINK

“Comparison of Partial Least Square, Artificial Neural Network and Support Vector Regressions for real time monitoring of CHO cell culture processes using in situ Near Infrared spectroscopy” LINK

“Evaluating the impact of NIR pre-processing methods via multiblock partial least-squares” LINK

“Differentiation of Organic Cocoa Beans and Conventional Ones by Using Handheld NIR Spectroscopy and Multivariate Classification Techniques” | LINK




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

“NearInfrared II Plasmonic Phototheranostics with Glutathione Depletion for Multimodal ImagingGuided HypoxiaTolerant ChemodynamicPhotocatalyticPhotothermal Cancer Therapy Triggered by a Single Laser” LINK

“Nearinfrared spectroscopy aids ecological restoration by classifying variation of taxonomy and phenology of a native shrub” LINK

“Optimization of sweet basil harvest time and cultivar characterization using nearinfrared spectroscopy, liquid and gas chromatography, and chemometric statistical methods” LINK




Hyperspectral Imaging (HSI)

“Prediction and Distribution Visualization of Salmon Quality Based on Hyperspectral Imaging Technology” LINK

“A data fusion method of electronic nose and hyperspectral to identify the origin of rice” LINK

“Plants : Hyperspectral Reflectance Response of Wild Rocket (Diplotaxis tenuifolia) Baby-Leaf to Bio-Based Disease Resistance Inducers Using a Linear Mixed Effect Model” LINK

“Prediction of moisture content in steamed and dried purple sweet potato using hyperspectral imaging analysis” | LINK

“Integration of textural and spectral features of Raman hyperspectral imaging for quantitative determination of a single maize kernel mildew coupled with chemometrics” LINK




Chemometrics and Machine Learning

“Near infrared spectroscopy combined with chemometrics for quantitative analysis of corn oil in edible blend oil” LINK

“Applications of NIR spectroscopy and chemometrics to illicit drug analysis: an example from inhalant drug screening tests” LINK

“Remote Sensing : Extraction of Kenyan Grassland Information Using PROBA-V Based on RFE-RF Algorithm” LINK

“Monitoring Molecular Weight Changes during Technical Lignin Depolymerization by Operando Attenuated Total Reflectance Infrared Spectroscopy and Chemometrics” LINK

“Modification of the effect of maturity variation on nondestructive detection of apple quality based on the compensation model” LINK

“Foods : Rapid Detection of Thermal Treatment of Honey by Chemometrics-Assisted FTIR Spectroscopy” LINK

“Applied Sciences : Dual Image-Based CNN Ensemble Model for Waste Classification in Reverse Vending Machine” LINK




Optics for Spectroscopy

Five highly cited papers in the fields of biosensors materials sensors (a thread) LINK




Facts

“Remote Sensing : Towards a Deep-Learning-Based Framework of Sentinel-2 Imagery for Automated Active Fire Detection” LINK




Research on Spectroscopy

“Residence Time Distribution as a Traceability Method for Lot Changes in A Pharmaceutical Continuous Manufacturing System” LINK




Environment NIR-Spectroscopy Application

“Remote Sensing : Inversion Evaluation of Rare Earth Elements in Soil by Visible-Shortwave Infrared Spectroscopy” LINK

“Heavy rainfall in peak growing season had larger effects on soil nitrogen flux and pool than in the late season in a semiarid grassland” LINK

“Rachis browning and water loss description during postharvest storage of ‘Krissy’and ‘Thompson Seedless’ table grapes” LINK

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

“Remote Sensing : Soil Organic Carbon Content Prediction Using Soil-Reflected Spectra: A Comparison of Two Regression Methods” LINK




Agriculture NIR-Spectroscopy Usage

“The Promise of Hyperspectral Imaging for the Early Detection of Crown Rot in Wheat” LINK

“Ecological effects on the nutritional value of bromeliads, and its influence on Andean bears’ diet selection” LINK

“Agronomy : Complex Spectroscopic Study for Fusarium Genus Fungi Infection Diagnostics of “Zalp” Cultivar Oat” LINK

“Predicting Protein Content in Grain Using Hyperspectral Deep Learning” LINK

“Genome-Wide Association Studies of Soybean Yield-Related Hyperspectral Reflectance Bands Using Machine Learning-Mediated Data Integration Methods” | LINK




Horticulture NIR-Spectroscopy Applications

“Determination of Sugar Adulteration in Honey Using Conductivity Meter and pH Meter” LINK

“A Comparative Analysis of Hybrid SVM and LS-SVM Classification Algorithms to Identify Dried Wolfberry Fruits Quality Based on Hyperspectral Imaging Technology” LINK




Chemical Industry NIR Usage

“Polymers : Hybrid Proton-Exchange Membrane Based on Perfluorosulfonated Polymers and Resorcinol-Formaldehyde Hydrogel” LINK




Laboratory and NIR-Spectroscopy

“Improving Quality Inspection of Textiles by an Augmented RGB-IR-HS-AI Approach” LINK




Other

“External beam irradiation angle measurement using Cerenkov emission I: Signal dependencies consideration” LINK

“Applications of Sensing for Disease Detection” LINK

“Functionalized Tris (anilido) triazacyclononanes as Hexadentate Ligands for the Encapsulation of U (III), U (IV) And La (III) Cations” LINK

“การ ประยุกต์ ใช้ เทคนิค สเปก โทร ส โค ปี อินฟราเรด ย่าน ใกล้ สำหรับ ทำนาย ปริมาณ แค โร ที น อย ด์ ใน เชื้อ พันธุกรรม ข้าวโพด หวาน” LINK

“抑郁症的近红外光谱研究进展” LINK

“高光谱成像技术在医药领域中的应用进展研究” LINK



Spectroscopy and Chemometrics/Machine-Learning News Weekly #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



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 #42, 2020

NIR Calibration-Model Services

Stop Paying Too Much Time and Effort for NIRS Chemometrics Calibration Method Development! Use a Service | accuracy measure predictive analytics NIR spectroscopy analysis outsourcing Lab laboratory QA QC QAQC LINK

Spectroscopy and Chemometrics News Weekly 41, 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 41, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 41, 2020 | 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 Chemometrics and Spectroscopy News in real time on Twitter @ CalibModel and follow us.





Near-Infrared Spectroscopy (NIRS)

“Modelling potentially toxic elements in forest soils with vis–NIR spectra and learning algorithms” LINK

“ANALYSIS OF ROBUSTA COFFEE CULTIVATED IN AGROFORESTRY SYSTEMS (AFS) BY ESI-FT-ICR MS AND PORTABLE NIR ASSOCIATED WITH SENSORY …” LINK

“In 30 years of near-infrared spectroscopy, I haven’t seen too many drugs that look like that,” said Robert Lodder, PhD, of the UK College of Pharmacy . By . medtwitter medstudenttwitter LINK

“Chemometric strategies for nondestructive and rapid assessment of nitrate content in harvested spinach using VisNIR spectroscopy” LINK

“ANALYSIS OF ROBUSTA COFFEE CULTIVATED IN AGROFORESTRY SYSTEMS (AFS) BY ESI-FT-ICR MS AND PORTABLE NIR ASSOCIATED WITH SENSORY …” LINK

Using Near-infrared reflectance spectroscopy (NIRS) to predict glucobrassicin concentrations in cabbage and brussels sprout leaf tissue LINK

“Age estimation of red snapper (Lutjanus campechanus) using FT-NIR spectroscopy: feasibility of application to production ageing for management” LINK

“Rapid Assessment of Exercise State through Athlete’s Urine Using Temperature-Dependent NIRS Technology” LINK

“Multivariate calibration: Identification of phenolic compounds in PROPOLIS using FTNIR” LINK

“FT-NIR spectroscopy and RP-HPLC combined with multivariate analysis reveals differences in plant cell suspension cultures of Thevetia peruviana treated with salicylic acid and methyl jasmonate.” LINK




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

“Non-destructive detection of foreign contaminants in toast bread with near infrared spectroscopy and computer vision techniques” LINK

“Knowledge-based genetic algorithm for resolving the near-infrared spectrum and understanding the water structures in aqueous solution” LINK

“Estimation of heavy metals using deep neural network with visible and infrared spectroscopy of soil.” LINK

“Lipid Core Plaque Distribution Using Near-infrared Spectroscopy Is Consistent with Pathological Evaluation in Carotid Artery Plaques” LINK

“Elucidation of the Molecular Mechanism of Wet Granulation for Pharmaceutical Standard Formulations in a High-Speed Shear Mixer Using Near-Infrared Spectroscopy” LINK

“Nearinfrared spectroscopy and data analysis for predicting milk powder quality attributes” LINK

“Near Infrared Reflectance Spectroscopy and Multivariate Analyses for Fast and Non-Destructive Prediction of Corn Seed Germination” LINK

“Effect of Sample Preparation Methods on the Prediction Performances of Near Infrared Reflectance Spectroscopy for Quality Traits of Fresh Yam (Dioscorea spp.)” LINK

“Comparison of artificial neural networks and multiple regression tools applied to near infrared spectroscopy for predicting sensory properties of products from Quality …” LINK




Raman Spectroscopy

Raman spectra‐based deep learning: A tool to identify microbial contamination LINK

“Temperature-Induced Chemical Changes in Lubricant Automotive Oils Evaluated Using Raman Spectroscopy” LINK

“Study of Blood Serum in Rats with Transplanted Cholangiocarcinoma Using Raman Spectroscopy” LINK




Hyperspectral Imaging (HSI)

“Early detection of black Sigatoka in banana leaves using hyperspectral images” LINK




Chemometrics and Machine Learning

“Weights or measures for better calibration” spectroscopy LINK

“Feasibility of rapid piperine quantification in whole and black pepper using near infrared spectroscopy and chemometrics” LINK

“Rethinking AI talent strategy as automated machine learning comes of age” | employment MachineLearning automated AutoML LINK

“Developing Calibration Model for Prediction of Malt Barley Genotypes Quality Traits using Fourier Transform near Infrared Spectroscopy” LINK




Equipment for Spectroscopy

“Discriminant analysis of pyrrolizidine alkaloid contamination in bee pollen based on near-infrared data from lab-stationary and portable spectrometers” | LINK




Future topics in Spectroscopy

“Journal of Global Trends in Pharmaceutical Sciences” LINK




Agriculture NIR-Spectroscopy Usage

“Evaluation of soybean condition under various fertilizer application by the relationship of the red and near-infrared bands reflectance in scatter plot” LINK

“Nutrient Prediction for Tef (Eragrostis tef) Plant and Grain with Hyperspectral Data and Partial Least Squares Regression: Replicating Methods and Results across Environments” LINK

“A spectral parameter for the estimation of soil total nitrogen and nitrate nitrogen of winter wheat growth period” LINK

“Animal species identification in parchments by light.” LINK




Food & Feed Industry NIR Usage

“Intrinsic and Extrinsic Quality Attributes of Fresh and Semi-Hard Goat Cheese from Low- and High-Input Farming Systems” LINK

“Non-Invasive Characterization of Single-, Double- and Triple-Viral Diseases of Wheat With a Hand-Held Raman Spectrometer” | LINK




Other

“Physicochemical Fingerprint of “Pera Rocha do Oeste”. A PDO Pear Native from Portugal.” LINK

“Polymer types ingested by northern fulmars (Fulmarus glacialis) and southern hemisphere relatives” LINK





.

NIR-Predictor Download

The free NIR-Predictor software
  • comes with demo data, so you can predict sample spectra with demo calibrations.
  • has no functional limitations, no nagging, no ads and needs no license-key.
  • you need no account and no registration to download and use.
  • runs on Microsoft Windows 10/8/7 (Starter, Basic, Professional) (32 bit / 64 bit).
  • no data is ever transmitted from your local machine. We don’t even collect usage data.
See more Videos



Beside the free NIR-Predictor software with Windows user interface,
the real-time Predictor Engine is also available
  • for embedded integration in application, cloud and instrument-software (ICT).
  • As a light-weigt single library file (DLL)
    with application programming interface (API),
    documentation and software development kit (SDK)
    including sample source code (C#).
  • Easy integration and deployment,
    no software license protection (no serial key, no dongle).
  • Put your spectrum as an array into the multivariate predictor,
    no specific file format needed.
  • Fast prediction speed and low latency
    because of compiled code library (direct call, no cloud API).
  • Protected prediction results with outlier detection information.
See NIR Method Development Service for Labs and NIR-Vendors (OEM, White-Label)



Software Size Date Comment
NIR-Predictor V2.6.0.2 (download)

What’s new, see Release Notes

By downloading and/or using the software
you accept the Software License Agreement (EULA)
3.7 MB 18.08.2021 public release

Minimal System Requirements
Windows 7 Starter 32Bit, 1.6 GHz, 2 GB RAM, non-Administrator account

Installation
There are no administrator rights required, unpack the zip file to a folder “NIR-Predictor” in your documents or on your desktop.
Read the ReadMe.txt and double click the NIR-Predictor.exe file.

Upgrade
If you have installed an older version of NIR-Predictor then unpack into a different folder named e.g. “NIR-PredictorVx.y”. All versions can run side-by-side. Copy the Calibrations in use to the new version into the “Calibration” folder. That’s all.

Uninstall
Make sure to backup your reports and calibrations inside your “NIR-Predictor” folder. Delete the “NIR-Predictor” folder.


Start Calibrate

See also: