Spectroscopy and Chemometrics/Machine-Learning News Weekly #49, 2021

NIR Calibration-Model Services

Effective development of new quantitative prediction equations for multivariate data like NIR spectra | spectrum LINK

How to improve calibration models for NIR Instrument Devices? Wheat Food Security LINK

Spectroscopy and Chemometrics News Weekly 48, 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 48, 2021 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 48, 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)

“Insight into the stability of protein in confined environment through analyzing the structure of water by temperature-dependent near-infrared spectroscopy” LINK

“Determination of starch and amylose contents in various cereals using common model of near-infrared reflectance spectroscopy.” LINK

“RESEARCH ARTICLE Near-infrared spectroscopy for the distinction of wood and charcoal from Fabaceae species: comparison of ANN, KNN AND SVM …” LINK

“Device-Independent Discrimination of Falsified Amoxicillin Capsules Using Heterogeneous Near-Infrared Spectroscopic Devices for Training and Testing of a Support Vector Machine” LINK

“High quality VO(2) thin films synthesized from V(2)O(5) powder for sensitive near-infrared detection” | LINK

“Detection of toxic chemicals in hand sanitizers using near-infrared spectroscopy” LINK

“Identification of Baha’sib mung beans based on Fourier transform near infrared spectroscopy and partial least squares” LINK

“Remote Sensing : Identification of Amaranthus Species Using Visible-Near-Infrared (Vis-NIR) Spectroscopy and Machine Learning Methods” LINK

“Nondestructive Detection of Internal Flavor in ‘Shatian’Pomelo Fruit Based on Visible/Near Infrared Spectroscopy” | LINK

“Determination of sex-enhancing drugs illegally added in health care products by TLC-NIRS combined technology” LINK

“Rapid detection of exogenous sucrose in black tea samples based on near-infrared spectroscopy” LINK

“Rapid determination of diesel fuel properties by near-infrared spectroscopy” LINK

“Biosensors : Room-Temperature Synthesis of Air-Stable Near-Infrared Emission in FAPbI3 Nanoparticles Embedded in Silica” LINK

“Potential of visible-near infrared spectroscopy for the determination of three soil aggregate stability indices” LINK

” A dataset of the chemical composition and near-infrared spectroscopy measurements of raw cattle, poultry and pig manure” LINK

“Forests : Identifying Wood Based on Near-Infrared Spectra and Four Gray-Level Co-Occurrence Matrix Texture Features” LINK

“… Selection for Referenceless Multivariate Calibration: A Case Study on Nicotine Determination in Flue-Cured Tobacco Powder by Near-Infrared (NIR) Spectroscopy” LINK

“Prediction and Utilization of Malondialdehyde in Exotic Pine Under Drought Stress Using Near-Infrared Spectroscopy” | LINK

“Quantification of irrigated lesion morphology using near-infrared spectroscopy” | LINK

“A Comparison between the Post-and Pre-dispersive Near Infrared Spectroscopy in Non-Destructive Brix Prediction Using Artificial Neural Network” LINK




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

“Efficient Broadband Near‐Infrared Emission in the GaTaO4:Cr3+ Phosphor” | LINK

“Aflatoxin contaminated cocoa beans classification using near-infrared spectroscopy” LINK

“The Effect Of Hemodynamic Parameters On Peripheral Near Infrared Spectroscopy In An Animal Model” LINK

“Iridium(III) Complexes with [2, 1, 0] Charged Ligands Realized DeepRed/NearInfrared Phosphorescent Emission” LINK




Raman Spectroscopy

“Multivariate Analysis Aided Surface-Enhanced Raman Spectroscopy (MVA-SERS) Multiplex Quantitative Detection of Trace Fentanyl in Illicit Drug Mixtures Using a Handheld Raman Spectrometer” LINK




Hyperspectral Imaging (HSI)

“BRCN-ERN: A Bidirectional Reconstruction Coding Network and Enhanced Residual Network for Hyperspectral Change Detection” LINK

“Rapid identification of adulterated safflower seed oil by use of hyperspectral spectroscopy” LINK

“Remote Sensing : Monitoring the Severity of Pantana phyllostachysae Chao on Bamboo Using Leaf Hyperspectral Data” LINK

“Rapid identification of the green tea geographical origin and processing month based on near-infrared hyperspectral imaging combined with chemometrics” LINK

“Chemometric strategies for near infrared hyperspectral imaging analysis: classification of cotton seed genotypes” LINK

“Applied Sciences : Determination of Sugar, pH, and Anthocyanin Contents in Port Wine Grape Berries through Hyperspectral Imaging: An Extensive Comparison of Linear and Non-Linear Predictive Methods” LINK

“… Area Index, Chlorophyll Content and Fraction of Vegetation Cover Using an Empirical-Statistical Approach from Chris-Proba Satellite Hyperspectral Images over the …” LINK

“Design and verification of a large-field hyperspectral imaging system” LINK

“Visualization of heavy metal cadmium in lettuce leaves based on wavelet support vector machine regression model and visible‐near infrared hyperspectral imaging” LINK

“Band Selection for HSI Classification using Binary Constrained Optimization” LINK

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




Spectral Imaging

“Machine learning and hyper spectral imaging: multi spectral endoscopy in the gastro intestinal tract towards hyper spectral endoscopy” LINK




Chemometrics and Machine Learning

“… residual extreme learning machine (PLSRR-ELM) calibration algorithm applied in fast determination of gasoline octane number with near-infrared spectroscopy” LINK

“Recognition of authentic or false blood based on NIR spectroscopy and PCA-WNN-PSO algorithm” LINK

“EVALUATION OF AGARWOOD (AQUILARIA MALACCENIS) FROM BINTAN ISLAND BASED ON INDONESIAN STANDARD: PREDICTING ITS QUALITY USING …” LINK

“Comparison of PLS and SVM models for soil organic matter and particle size using vis-NIR spectral libraries” LINK

“Multivariate Calibration of Concentrations of C, Mn, Si, Cr, Ni, and Cu in Low-Alloy Steels from Raw Low-Resolution Spectra Obtained By Laser-Induced Breakdown Spectroscopy” LINK




Optics for Spectroscopy

“Foam Flows in Turbulent Liquid Exfoliation of Layered Materials and Implications for Graphene Production and Inline Characterisation” LINK

“Chemical Engineering of Cu-Sn Disordered Network Metamaterials” LINK

“High-Performance Waveguide-Integrated Bi<sub>2</sub>O<sub>2</sub>Se Photodetector for Si Photonic Integrated Circuits” LINK




Equipment for Spectroscopy

“Electrical and Mechanical Properties of Intrinsically Flexible and Stretchable PEDOT Polymers for Thermotherapy” LINK

“Application of hand-held near-infrared and Raman spectrometers in surface treatment authentication of cork stoppers” LINK




Process Control and NIR Sensors

“Dry Powder Mixing Is Feasible in Continuous Twin Screw Extruder: Towards Lean Extrusion Process for Oral Solid Dosage Manufacturing” | LINK

“Manipulating electroluminochromism behavior of viologen substituted iridium(III) complexes through ligand engineering for information display and encryption” LINK




Environment NIR-Spectroscopy Application

“Remote Sensing : Estimating Vertical Distribution of Leaf Water Content within Wheat Canopies after Head Emergence” LINK




Agriculture NIR-Spectroscopy Usage

“Towards ecological intensification of agriculture: from management to soil bacterial and nitrogen-cycling communities” LINK

“Er: YAG Laser Cleaning of Painted Surfaces: Functional Considerations to Improve Efficacy and Reduce Side Effects” LINK

“Agronomy : Evaluation of Metabolomic Profile and Growth of Moringa oleifera L. Cultivated with Vermicompost under Different Soil Types” LINK

“High-throughput phenotyping of cool-season crops using non-invasive sensing techniques” LINK




Forestry and Wood Industry NIR Usage

“Polymers : Passive Fire Protection of Taeda pine Wood by Using Starch-Based Surface Coatings” LINK




Food & Feed Industry NIR Usage

“Foods : Microbiological Quality Assessment of Chicken Thigh Fillets Using Spectroscopic Sensors and Multivariate Data Analysis” LINK

“The potential to increase beef production in tropical Nth Australia by including Desmanthus cv JCU 2 in a Buffel grass (Cenchrus ciliaris) dominant pasture” LINK




Pharma Industry NIR Usage

“Spectroscopic characteristics of Xeloda chemodrug” | LINK




Laboratory and NIR-Spectroscopy

“Potential of laboratory hyperspectral data for in-field detection of Phytophthora infestans on potato” LINK




Other

“Beam test of carbon ion production for development of new compact ECR ion source for multi ion therapy” LINK

“Silver Peroxide Nanoparticles for Combined Antibacterial Sonodynamic and Photothermal Therapy” | LINK

“Splanchnic oxygen saturation during reoxygenation with 21% or 100% O2 in newborn piglets” | LINK





Spectroscopy and Chemometrics/Machine-Learning News Weekly #46, 2021ews Weekly #46, 2021

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 45, 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 45, 2021 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 45, 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)

“Intramuscular Near-Infrared Spectroscopy for Muscle Flap Monitoring in a Porcine Model” LINK

“Avocado dehydration negatively affects the performance of visible and near-infrared spectroscopy models for dry matter prediction” LINK

“Ultraviolet/Visible and Near-Infrared Dual Spectroscopic Method for Detection and Quantification of Low-Level Malaria Parasitemia in Whole Blood” LINK

“NIR hyperspectral imaging for predicting the composition of granular food commodities” LINK

“Multi-output 1-dimensional convolutional neural networks for simultaneous prediction of different traits of fruit based on near-infrared spectroscopy” LINK

“Non-Destructive Quality Measurement for Three Varieties of Tomato Using VIS/NIR Spectroscopy. Sustainability” | LINK

“Handheld NIRS for forage evaluation” LINK

“Rapid and Nondestructive Determination of Polyacrylonitrile Molecular Weight by Fourier Transform near-Infrared (NIR) Spectroscopy” LINK

“Determination of alcohols-diesel oil by near infrared spectroscopy based on gramian angular field image coding and deep learning” LINK

“Exploring Effects of Sample Storage, Preparation, and Tissue Type on Fourier Transform-Near Infrared Spectroscopy (Ft-Nirs) Ageing Across Fish Taxa” LINK

“Near-infrared optical spectroscopy for pancreas shrinkage estimation with multi synchrosqueezing transform and multivariate regression model” | LINK

“Explainable artificial intelligence based analysis for interpreting infant fNIRS data in developmental cognitive neuroscience” LINK

“In Situ Determination of Cannabidiol in Hemp Oil by Near-Infrared Spectroscopy” LINK

“Rapid detection of adulteration in desiccated coconut powder: vis-NIR spectroscopy and chemometric approach” LINK

“Blood volume vs. deoxygenated NIRS signal: computational analysis of the effects muscle O2 delivery and blood volume on the NIRS signals” LINK

“Near-Infrared Spectroscopy Study of Serpentine Minerals and Assignment of the OH Group” LINK

“Identification of Microbes in Wounds via Near-Infrared Spectroscopy” LINK

“What causes differences in fracture rates of silcrete during heat treatment? A near-infrared study of water-related transformations in South African silcretes” LINK

“Correction of the moisture variation in wood NIR spectra for species identification using EPO and soft PLS2-DA” LINK

“Classification of rice based on storage time by using near infrared spectroscopy and chemometric methods” LINK




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

“Coherent Raman scattering imaging with a near-infrared achromatic metalens” LINK

“An Improved Residual Network for Pork Freshness Detection Using Near-Infrared Spectroscopy” LINK

“Distinguishing between different types of multi‐layered PET‐based backsheets of PV modules with nearinfrared spectroscopy” LINK

“Rapid Prediction Method of α-Glycosidase Inhibitory Activity of Coreopsis tinctoria Extract from Different Habitats by Near Infrared Spectroscopy” LINK

“Internal Quality Classification of Apples Based on Near Infrared Spectroscopy and Evidence Theory” LINK

“NearInfrared Photoactive Semiconductor Quantum Dots for Solar Cells” LINK




Hyperspectral Imaging (HSI)

“Application of hyperspectral imaging in the detection of aflatoxin B1 on corn seed” | LINK

“Hyperspectral Imaging Simulator and Applications for Unmanned Aerial Vehicles” LINK

“SWiVIA – Sliding window variographic image analysis for real-time assessment of heterogeneity indices in blending processes monitored with hyperspectral imaging” LINK

“Prediction of coffee aroma from single roasted coffee beans by hyperspectral imaging” LINK

“Evaluation of hyperspectral imaging to quantify perfusion changes during the modified Allen test” LINK

“Near infrared hyperspectral imaging for non-destructive determination of pH value in red delicious apple fruit during shelf life” LINK




Chemometrics and Machine Learning

“Determining tangential contact force model parameters for viscoelastic materials (apples) using a rheometer” LINK

“Physicochemical properties, content, composition and partial least squares models of A. trifoliata seeds oil” LINK

“Chemometrics and Experimental Design for the Quantification of Nitrate Salts in Nitric Acid: Near-Infrared Spectroscopy Absorption Analysis” LINK

“Evaluation and Monitoring of the API Content of a Portable Near Infrared Instrument Combined with Chemometrics Based on Fluidized Bed Mixing Process” | LINK

“Digital Twin of Low Dosage Continuous Powder Blending-Artificial Neural Networks and Residence Time Distribution Models” LINK

“Relationship Between Image Spectroscopy Spatial Resolution and Crown Level Tree Species Classification Accuracy” LINK

“An uncertainty sampling strategy based model updating method for soluble solid content and firmness prediction of apples from different years” LINK




Optics for Spectroscopy

“Leaky Mode Resonance-Induced Sensitive Ultraviolet Photodetector Composed of Graphene/Small Diameter Silicon Nanowire Array Heterojunctions” LINK




Facts

“Superiority Verification of Deep Learning in the Identification of Medicinal Plants: Taking Paris polyphylla var. yunnanensis as an Example” | LINK




Environment NIR-Spectroscopy Application

“Remote Sensing : Study on the Pretreatment of Soil Hyperspectral and Na+ Ion Data under Different Degrees of Human Activity Stress by Fractional-Order Derivatives” LINK

“Long-term effects of water stress on hyperspectral remote sensing indicators in young radiata pine” LINK

“Rapid assessment of soil water repellency indices using Vis-NIR spectroscopy and pedo-transfer functions” LINK




Agriculture NIR-Spectroscopy Usage

“Non-destructive determination of protein and amino acids concentration and their relationship with grain yield affected by different irrigation, sowing date …” LINK

“Physiological and molecular characterization of the late ripening stages in Mangifera indica cv Keitt” LINK

” Using UAV-based hyperspectral imaging and functional regression to assist in predicting grain yield and related traits in wheat under heat-related stress …” | LINK

“Crop Production Under Urbanisation: An Experimental Approach to Understand and Model Agricultural Intensification” | LINK

“Advancements in Forage Management: Grazing Horses on Cover Crops and Exploring Hand-Held Nirs Technology” LINK




Food & Feed Industry NIR Usage

“Applied Sciences : Winter Wheat Take-All Disease Index Estimation Model Based on Hyperspectral Data” LINK

“Foods : Total Fat Gravimetric Method Workflow in Portuguese Olives Using Closed-Vessel Microwave-Assisted Extraction (MAE)” LINK

“Foods : Multiple Breeds and Countries Predictions of Mineral Contents in Milk from Milk Mid-Infrared Spectrometry” LINK




Other

“Fiber and digestibility of Piatã grass in systems in integration.” LINK

“Detection of syrup adulterants in manuka and jarrah honey using HPTLC-multivariate data analysis” | 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 #21, 2020

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.


NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 20, 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 20, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 20, 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)

“New applications of visnir spectroscopy for the prediction of soil properties” LINK

“Simultaneous determination of quality parameters in yerba mate (Ilex paraguariensis) samples by application of near-infrared (NIR) spectroscopy and partial least …” LINK

“Fault detection with moving window PCA using NIRS spectra for the monitoring of anaerobic digestion process” LINK

“Control of ascorbic acid in fortified powdered soft drinks using near-infrared spectroscopy (NIRS) and multivariate analysis.” LINK

“Fiber Content Determination of Linen/Viscose Blends Using NIR Spectroscopy” LINK




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

“ripening stages monitoring of Lamuyo pepper using a new‐generation near‐infrared spectroscopy sensor” LINK

“Modeling bending strength of oil-heat-treated wood by near-infrared spectroscopy” LINK

“Performance Improvement of Near-Infrared Spectroscopy-Based Brain-Computer Interface Using Regularized Linear Discriminant Analysis Ensemble Classifier Based on Bootstrap Aggregating.” LINK

“Continuously measurement of the dry matter content using near-infrared spectroscopy” LINK

“A Rapid and Nondestructive Approach for the Classification of Different-Age Citri Reticulatae Pericarpium Using Portable Near Infrared Spectroscopy.” LINK

“Rapid identification of Lilium species and polysaccharide contents based on near infrared spectroscopy and weighted partial least square method.” LINK

“Near-infrared spectroscopy as a new method for post-harvest monitoring of white truffles” LINK

“Functional Classification of Feed Items in Pampa Grassland, Based on Their Near-Infrared Spectrum” LINK

“A Rapid and Nondestructive Approach for the Classification of Different-Age Citri Reticulatae Pericarpium Using Portable Near Infrared Spectroscopy” LINK

“Rapid Prediction of Apparent Amylose, Total Starch, and Crude Protein by Near‐Infrared Reflectance Spectroscopy for Foxtail Millet (Setaria italica)” LINK

“A novel CC-tSNE-SVR model for rapid determination of diesel fuel quality by near infrared spectroscopy” LINK




Raman Spectroscopy

“Differentiating cancer cells using Raman spectroscopy (Conference Presentation)” LINK




Hyperspectral Imaging (HSI)

“A deep learning based regression method on hyperspectral data for rapid prediction of cadmium residue in lettuce leaves” LINK

“Detection of fish fillet substitution and mislabeling using multimode hyperspectral imaging techniques” LINK

“Deep learning applied to hyperspectral endoscopy for online spectral classification” DOI:10.1038/s41598-020-60574-6 LINK

“Estimating leaf mercury content in Phragmites australis based on leaf hyperspectral reflectance” LINK

“A hyperspectral microscope based on a birefringent ultrastable common-path interferometer (Conference Presentation)” LINK




Chemometrics and Machine Learning

“Identification of invisible biological traces in forensic evidences by hyperspectral NIR imaging combined with chemometrics” LINK

“Sample selection, calibration and validation of models developed from a large dataset of near infrared spectra of tree leaves” Eucalyptus forage quality LINK

“Detection and Assessment of Nitrogen Effect on Cold Tolerance for Tea by Hyperspectral Reflectance with PLSR, PCR, and LM Models” LINK




Equipment for Spectroscopy

“Determination of soluble solids content in Prunus avium by Vis/NIR equipment using linear and non-linear regression methods” LINK

“Characterization of Deep Green Infection in Tobacco Leaves Using a Hand-Held Digital Light Projection Based Near-Infrared Spectrometer and an Extreme Learning …” LINK




Environment NIR-Spectroscopy Application

“An Evaluation of Citizen Science Smartphone Apps for Inland Water Quality Assessment” LINK




Agriculture NIR-Spectroscopy Usage

“Robustness of visible/near and midinfrared spectroscopic models to changes in the quantity and quality of crop residues in soil” LINK

“Complex Food Recognition using Hyper-Spectral Imagery” LINK

“Development of a compact multimodal imaging system for rapid characterisation of intrinsic optical properties of freshly excised tissue (Conference Presentation)” LINK




Horticulture NIR-Spectroscopy Applications

” The Effect of Spent Mushroom Substrate and Cow Slurry on Sugar Content and Digestibility of Alfalfa Grass Mixtures” LINK




Laboratory and NIR-Spectroscopy

“The influence analysis of reflectance anisotropy of canopy on the prediction accuracy of Cu stress based on laboratory multi-directional measurement” LINK

“UV Irradiation and Near Infrared Characterization of Laboratory Mars Soil Analog Samples: the case of Phthalic Acid, Adenosine 5′-Monophosphate, L-Glutamic Acid …” molecular biosignatures; spectroscopy; lifedetection LINK









Spectroscopy and Chemometrics News Weekly #18, 2020

NIR Calibration-Model Services

What Lab Managers and QCLaboratory need to know about NIR Spectroscopy (NIRS) Calibration LINK

Spectroscopy and Chemometrics News Weekly 17, 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 17, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 17, 2020 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK

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



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

“Near-infrared spectroscopy as a new method for post-harvest monitoring of white truffles” LINK

“Fiber Content Determination of Linen/Viscose Blends Using NIR Spectroscopy” LINK

” RAPID EVALUATION OF DRY WHITE KIDNEY BEANS COOKING CHARACTERISTICS BY NEAR-INFRARED (NIR) SPECTROSCOPY” LINK



“Functional Classification of Feed Items in Pampa Grassland, Based on Their Near-Infrared Spectrum” LINK

“A Rapid and Nondestructive Approach for the Classification of Different-Age Citri Reticulatae Pericarpium Using Portable Near Infrared Spectroscopy” LINK

“Rapid Prediction of Apparent Amylose, Total Starch, and Crude Protein by Near‐Infrared Reflectance Spectroscopy for Foxtail Millet (Setaria italica)” LINK

“A novel CC-tSNE-SVR model for rapid determination of diesel fuel quality by near infrared spectroscopy” LINK

” Machine Learning Classification of Articular Cartilage Integrity Using Near Infrared Spectroscopy” LINK

“Determination of in situ ruminal degradation of phytate phosphorus from single and compound feeds in dairy cows using chemical analysis and near-infrared spectroscopy” LINK

“Non-destructive assessment of moisture content and modulus of rupture of sawn timber Hevea wood using near infrared spectroscopy technique” LINK

” Multiblock PLS-DA on fecal and plasma visible-near-infrared spectra for discriminating young bulls according to their efficiency. Preliminary results” LINK

” RAPID, NONDESTRUCTIVE AND SIMULTANEOUS PREDICTIONS OF SOIL CONTENT IN WULING MOUNTAIN AREA USING NEAR INFRARED …” LINK

“Accurate prediction of glucose concentration and identification of major contributing features from hardly distinguishable near-infrared spectroscopy” LINK




Raman Spectroscopy

“Differentiating cancer cells using Raman spectroscopy (Conference Presentation)” LINK

“Surfaceenhanced Raman spectroscopy for onsite analysis: A review of recent developments” LINK




Hyperspectral Imaging (HSI)

“Estimating leaf mercury content in Phragmites australis based on leaf hyperspectral reflectance” LINK

“Detection and identification of Cannabis sativa L. using near infrared hyperspectral imaging and machine learning methods. A feasibility study.” LINK

“A hyperspectral microscope based on a birefringent ultrastable common-path interferometer (Conference Presentation)” LINK

“Performance of Fluorescence and Diffuse Reflectance Hyperspectral Imaging for Characterization of Lutefisk: A Traditional Norwegian Fish Dish” LINK




Spectral Imaging

“Multispectral imaging for predicting the water status in mushroom during hotair dehydration” LINK




Chemometrics and Machine Learning

“Identification of invisible biological traces in forensic evidences by hyperspectral NIR imaging combined with chemometrics” LINK

“Sample selection, calibration and validation of models developed from a large dataset of near infrared spectra of tree leaves” Eucalyptus forage quality LINK

“Detection and Assessment of Nitrogen Effect on Cold Tolerance for Tea by Hyperspectral Reflectance with PLSR, PCR, and LM Models” LINK

“Vibrational spectroscopy and chemometrics for quantifying key bioactive components of various plum cultivars grown in New Zealand” LINK




Environment NIR-Spectroscopy Application

“Remote Sensing, Vol. 12, Pages 931: Optical Water Type Guided Approach to Estimate Optical Water Quality Parameters” LINK

“Estimation of total nitrogen and organic carbon contents in mine soils with NIR reflectance spectroscopy and various chemometric methods” LINK




Agriculture NIR-Spectroscopy Usage

“Development of a compact multimodal imaging system for rapid characterisation of intrinsic optical properties of freshly excised tissue (Conference Presentation)” LINK

“Complex Food Recognition using Hyper-Spectral Imagery” LINK

“Predicting grain protein content of field-grown winter wheat with satellite images and partial least square algorithm.” LINK

“Remote Sensing, Vol. 12, Pages 940: Editorial for the Special Issue Estimation of Crop Phenotyping Traits using Unmanned Ground Vehicle and Unmanned Aerial Vehicle Imagery”” LINK

“The development of models to predict the nutritional value of feedstuffs and feed mixture using NIRS” LINK

“Permafrost soil complexity evaluated by laboratory imaging Vis‐NIR spectroscopy” LINK




Food & Feed Industry NIR Usage

“Beef Nutritional Quality Testing and Food Packaging” LINK




Laboratory and NIR-Spectroscopy

“UV Irradiation and Near Infrared Characterization of Laboratory Mars Soil Analog Samples: the case of Phthalic Acid, Adenosine 5′-Monophosphate, L-Glutamic Acid …” molecular biosignatures; spectroscopy; lifedetection LINK





Spectroscopy and Chemometrics News Weekly #14, 2020

CalibrationModel.com

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

NIR-Predictor Software supports spectral file formats out of the box from: and others – Mobile spectroscopy NIRS portable Analyzers H2020 LINK

Timesaving Calibration Modeling Method: for near-infrared NIR Spectroscopy (NIRS) Multivariate Quantitative Prediction. food quality laboratory LINK

Spectroscopy and Chemometrics News Weekly 13, 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 13, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse analytic LINK

Spettroscopia e Chemiometria Weekly News 13, 2020 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK

We have updated the free NIR-Predictor-Software Spectral Data format support list for many mobile and benchtop NIR Spectroscopy Sensors. | Used in QualityControl for Food Fruits Milk Meat 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)

“Aplicação da espectroscopia de reflectância no infravermelho próximo (NIRS) na determinação do potencial bioquímico de metano–Revisão” LINK

“Prediction of soil organic matter and clay contents by near-infrared spectroscopy-NIRS” LINK

“Fast detection and quantification of pork meat in other meats by reflectance FT-NIR spectroscopy and multivariate analysis” LINK

“Improved GA-SVM Algorithm and Its Application of NIR Spectroscopy in Orange Growing Location Identification” LINK

“Improved Deep CNN with Parameter Initialization for Data Analysis of Near-Infrared Spectroscopy Sensors.” Tobacco LINK

“Data analysis on near infrared spectroscopy as a part of technology adoption for cocoa farmer in Aceh Province, Indonesia” LINK

“Improved Deep CNN with Parameter Initialization for Data Analysis of Near-Infrared Spectroscopy Sensors” LINK

“Identification of a Glass Substrate to Study Cells Using Fourier Transform Infrared Spectroscopy: Are We Closer to Spectral Pathology?” LINK

“Raman-Infrared spectral fusion combined with partial least squares (PLS) for quantitative analysis of polycyclic aromatic hydrocarbons in soil” LINK

“Identification metliod of ginger-processed Pinelliaternata based on infrared spectroscopy data fusion.” LINK

“Terahertz Time of Flight Spectroscopy as a Coating Thickness Reference Method for Partial Least Squares Near Infrared Spectroscopy Models” LINK

“Quantitative detection of apple watercore and soluble solids content by near infrared transmittance spectroscopy” LINK




Hyperspectral

“Rapid Identification and Visualization of Jowl Meat Adulteration in Pork Using Hyperspectral Imaging.” LINK

“Hyperspectral monitoring of maize leaves under copper stress at different growth stages” LINK

“Classification of small-scale hyperspectral images with multi-source deep transfer learning” LINK




Chemometrics

“Detection of fat content in peanut kernels based on chemometrics and hyperspectral imaging technology” LINK

“Hyperspectral Imaging Feature Selection Using Regression Tree Algorithm: Prediction of Carotenoid Content Velvet Apple Leaf” LINK

“Modelos de calibración para la cuantificación nutricional de praderas frescas mediante espectroscopía de infrarojo cercano” LINK

“Performance Evaluation of Chemometric Prediction Models—Key Components of Wheat Grain” LINK




Equipment

“Rapid Nondestructive Analysis of Intact Canola Seeds Using a Handheld NearInfrared Spectrometer” LINK

“Confirmatory non-invasive and non-destructive differentiation between hemp and cannabis using a handheld Raman spectrometer” LINK




Process Control

“Monitoring of CO2 Absorption Solvent in Natural Gas Process Using Fourier Transform Near-Infrared Spectrometry” LINK




Environment

“Comparing laboratory and airborne hyperspectral data for the estimation and mapping of topsoil organic carbon: Feature selection coupled with random forest” LINK




Agriculture

“Predicting Forage Quality of Warm-Season Legumes by Near Infrared Spectroscopy Coupled with Machine Learning Techniques.” LINK

“Les défis de la technologie de l’aliment en nutrition volaille: pertinence et enjeux pour répondre aux attentes industrielles et sociétales” LINK

“CHANGES IN THE CONTENT OF STRUCTURAL CARBOHYDRATES AND LIGNIN IN THE BIOMASS OF Lolium multiflorum (Lam.) AFTER APPLYING SLURRY …” LINK

“Rapid Analysis of Alcohol Content During the Green Jujube Wine Fermentation by FT-NIR” LINK

“Spectral Analysis and Deconvolution of the Amide I Band of Proteins Presenting with High-Frequency Noise and Baseline Shifts” LINK




Petro

“Spectroscopic evidence of special intermolecular interaction in iodomethane-ethanol mixtures: the cooperative effect of halogen bonding, hydrogen bonding, and …” LINK




Pharma

“Defocused Spatially Offset Raman Spectroscopy in Media of Different Optical Properties for Biomedical Applications Using a Commercial Spatially Offset Raman Spectroscopy Device” LINK




Medicinal

“A single oral dose of beetroot-based gel does not improve muscle oxygenation parameters, but speeds up handgrip isometric strength recovery in recreational combat …” LINK




Other

“Spectral differentiation of oak wilt from foliar fungal disease and drought is correlated with physiological changes” LINK

“Wearing a headset containing both electroencephalography (EEG) and near-infrared spectroscopy (NIRS) sensors, the user simply imagines moving either his right hand, left hand, tongue or feet – and ASIMO makes a corresponding movement. ” BrainInterface LINK

KnowItAll Software / Spectral Libraries & ChemWindow are now part of Wiley Science Solutions. See press release: LINK

“The uses of near infra-red spectroscopy in postharvest decision support: A review” LINK





Spectroscopy and Chemometrics News Weekly #9, 2020

CalibrationModel.com

Efficient development of new quantitative prediction equations for multivariate NIR spectra data NIRS NIR NIT LINK

NIR Calibration Service explained | NIRS NIR Near Infrared Spectroscopy Prediction Analysis Results Calibration Model multivariate Chemometrics equations SaaS LINK

Service für professionelle Entwicklung von Nah-Infrarot Spektroskopie Kalibrations Methoden | NIRS Qualität Prüfen LINK

Spectroscopy and Chemometrics News Weekly 8, 2020 | NIRS NIR Spectroscopy MachineLearning Spectrometer Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory automation Software IoT Sensors QA QC QAQC qualitycontrol LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 8, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot WetChemistry Lab Lab40 FoodTech FoodAnalysis Analysentechnik Analysemethode Nahinfrarotspektroskopie LINK

Spettroscopia e Chemiometria Weekly News 8, 2020 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK




Near Infrared

“Prediction of starch reserves in intact and ground grapevine cane wood tissues using near infrared reflectance spectroscopy (NIRS).” LINK

“An application to analyzing and correcting for the effects of irregular topographies on NIR hyperspectral images to improve identification of moldy peanuts” LINK

“Data Fusion Approach Improves the Prediction of Single Phenolic Compounds in Honey: A Study of NIR and Raman Spectroscopies” LINK

Monitoring roasting of coffee beans by NIR spectroscopy using a method called REP-ASCA coffee ☕️ chemical information related to flavors and aromas. LINK

“The Effect of Light Intensity, Sensor Height, and Spectral Pre-Processing Methods when using NIR Spectroscopy to Identify Different Allergen-Containing Powdered Foods.” LINK

“Immediate measurement of fuel characteristics of bio-char using NIRS” LINK

“Nonlinear Manifold Dimensionality Reduction Methods for Quick Discrimination of Tea at Different Altitude by Near Infrared Spectroscopy” LINK

Phenome2020 Yufeng Ge Univ Nebraska VIS-NIR-SWIR spectroscopy to analyse leaf chemistry and physiology LINK

“Rapid assessment of pork freshness using miniaturized NIR spectroscopy” LINK

“On-line prediction of hazardous fungal contamination in stored maize by integrating Vis/NIR spectroscopy and computer vision” LINK

“Chemical Characterization of Wine Vinegars Belonging to the Vinagre de Montilla-Moriles Protected Designation of Origin, Using Near-Infrared Spectroscopy” LINK

“Application of Near-Infrared Spectroscopy for the identification of rock mineralogy from Kos Island, Aegean Sea, Greece” LINK

“Assessment of Spinal Cord Ischemia With Near-Infrared Spectroscopy: Myth or Reality?” LINK

“Portable Near-Infrared spectroscopy for rapid authentication of adulterated paprika powder” LINK

“Study on the Quality Assessment of Canola Oil after Prolonged Frying Using Near-Infrared Spectroscopy” LINK

” CRUDE PROTEIN PREDICTION OF HETEROGENEOUS MOUNTAIN GRASSLAND WITH VISIBLE-NEAR-INFRARED SPECTROSCOPY” LINK

“Statistical Analysis of Amylose and Protein Content in Breeding Line Rice Germplasm Collected from East Asian Countries Based on Near-infrared reflectance …” LINK

“Assessment of pork freshness based on changes in constituting chromophores using visible to near-infrared spectroscopy” LINK

“Sensors, Vol. 20, Pages 273: Near-Infrared Transmittance Spectral Imaging for Nondestructive Measurement of Internal Disorder in Korean Ginseng” LINK

“APPLICATION of NEAR INFRARED SPECTROSCOPY TO DETERMINE SUGARCANE QUALITY in CORE SAMPLER SYSTEM” LINK




Raman

On NationalScienceDay, we celebrate the discovery of the RamanEffect by great scientist CVRaman. Do you know? The Raman effect forms the basis for Raman spectroscopy which is used by chemists & physicists to gain information about materials. LINK

“Handheld device weeds out cannabis from hemp. Raman device that measures levels of tetrahydrocannabinol could be a useful tool for police and customs agents” LINK




Hyperspectral

“Essential processing methods of hyperspectral images of agricultural and food products” LINK

“Determine Reducing Sugar Content in Potatoes Using Hyperspectral Combined with VISSA Algorithm” LINK

“Spatial variation of wood density for Eucalyptus grandis by near infra red hyperspectral imaging combined with X-ray analysis” LINK




Chemometrics

“The detection of cannabinoids in veterinary feeds by microNIR/chemometrics: a new analytical platform.” LINK

“Qualitative discrimination of Chinese dianhong black tea grades based on a handheld spectroscopy system coupled with chemometrics” LINK

” Validation of NutriOpt dietary formulation strategies on broiler growth and economic performance” LINK

” A preliminary near infrared spectroscopy calibration for the prediction of un-dried fresh grass quality” LINK

“Water content prediction of ‘crystal’guava using visible-near infrared spectroscopy and chemometrics approach” LINK

“Spectroscopy based novel spectral indices, PCA- and PLSR-coupled machine learning models for salinity stress phenotyping of rice.” LINK




Facts

“When Will AutoML Replace Data Scientists (if ever)?” MachineLearning Poll LINK




Equipment

“Probeless non-invasive near-infrared spectroscopic bioprocess monitoring using microspectrometer technology” LINK

“Confirmatory non-invasive and non-destructive differentiation between hemp and cannabis using a handheld Raman spectrometer” LINK

“Simple Defocused Fiber Optic Volume Probe for Subsurface Raman Spectroscopy in Turbid Media” LINK




Environment

“Applications of Vis-NIR spectroscopy proximal sensing to estimate and mapping the calcium carbonates (CaCO3) in the semi-arid soils of the Triffa Plain …” LINK




Agriculture

“IJMS, Vol. 21, Pages 408: Genome-Wide Identification of QTLs for Grain Protein Content Based on Genotyping-by-Resequencing and Verification of qGPC1-1 in Rice” LINK

” INFLUENCE OF PLANT SPACING AND GENETIC MATERIAL ON WOOD DENSITY AND STIFFNESS IN Eucalyptus STANDS” LINK

“Comparative data on effects of alkaline pretreatments and enzymatic hydrolysis on bioemulsifier production from sugarcane straw by Cutaneotrichosporon mucoides” LINK

” MODERN STATISTICAL ANALYSIS OF FORAGE QUALITY ASSESSMENT WITH NIR SPECTROSCOPY” LINK




Chemical

” Detection and Separation of Recyclable Plastics from Municipal Solid Waste” | Report.pdf LINK




Other

“Falsified tadalafil tablets distributed in Japan via the internet” 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: