Spectroscopy and Chemometrics/Machine-Learning News Weekly #3, 2022

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 2, 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 2, 2022 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 2, 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)

“Qualitative Discrimination of Intact Tobacco Leaves Based on Near-Infrared Technology” | LINK

“Compositionally complex (Ca, Sr, Ba) ZrO3 fibrous membrane with excellent structure stability and NIR reflectance” LINK

“Applicability of Near Infrared Reflectance Spectroscopy to Predict Amylose Contents of Single-Grain Maize” LINK

“Potential of Near-Infrared (NIR) spectroscopy technique for early detection of Insidious Fruit Rot (IFR) disease in Harumanis mango” LINK

“Nondestructive prediction of fresh pepper hotness with a single scan using portable near infrared spectroscopy and variable selection strategy” LINK

“Interferometric near Infrared Spectroscopy (iNIRS): From Conception to Human Brain Imaging” LINK

“Heat impact control in flash pasteurization by estimation of applied pasteurization units using near infrared spectroscopy” LINK

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

“Phonetic versus spatial processes during motor-oriented imitations of visuo-labial and visuo-lingual speech: a functional near-infrared spectroscopy study” LINK

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

“Sensors : Field Detection of Rhizoctonia Root Rot in Sugar Beet by Near Infrared Spectrometry” LINK

“Use of visible-near infrared spectroscopy to predict nutrient composition of poultry excreta” LINK

“Use of Functional Near-Infrared Spectroscopy to Predict and Measure Cochlear Implant Outcomes: A Scoping Review” LINK

“Applied Sciences : Potencial Use of Near Infrared Spectroscopy (NIRS) to Categorise Chorizo Sausages from Iberian Pigs According to Several Quality Standards” LINK




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

“NearInfrared Light Responsive TiO2 for Efficient Solar Energy Utilization” LINK

“Hydration of LiOH and LiCl─ Near-Infrared Spectroscopic Analysis” LINK

“NEAR INFRARED-HYPER SPECTRAL IMAGING APPLICATIONS IN FISHERIES” LINK

“Optimization of sweet basil harvest time and cultivar characterization using near‐infrared spectroscopy, liquid and gas chromatography, and chemometric statistical …” LINK

“Fiber-based source of 500 kW mid-infrared solitons” LINK




Hyperspectral Imaging (HSI)

“Hyperspectral Image Classification Using Factor Analysis and Convolutional Neural Networks” | LINK

“Pre-Launch Calibration of the HYPSO-1 Cubesat Hyperspectral Imager” LINK

“Potential of in-field Vis/NIR hyperspectral imaging to monitor quality parameters of alfalfa” LINK

“A comparison of machine learning algorithms for mapping soil iron parameters indicative of pedogenic processes by hyperspectral imaging of intact soil profiles” LINK

“Inversion modeling of rice canopy nitrogen content based on MPA-GA-ELM UAV hyperspectral remote sensing” LINK

“Sensors : Nondestructive Testing and Visualization of Catechin Content in Black Tea Fermentation Using Hyperspectral Imaging” LINK

“Interleaved attention convolutional compression network: An effective data mining method for the fusion system of gas sensor and hyperspectral” LINK




Chemometrics and Machine Learning

“Remote Sensing : Machine Learning Classification of Endangered Tree Species in a Tropical Submontane Forest Using WorldView-2 Multispectral Satellite Imagery and Imbalanced Dataset” LINK

“Sensors : Lightweight Anomaly Detection Scheme Using Incremental Principal Component Analysis and Support Vector Machine” LINK

“Image analysis for predicting phenolics in Arabidopsis” LINK

“Ultravioletvisual spectroscopy estimation of nitrate concentrations in surface waters via machine learning” LINK

“Near-infrared calibration models for estimating volatile fatty acids and methane production from in vitro rumen fermentation of different total mixed rations” LINK

“Foods : Tea and Chicory Extract Characterization, Classification and Authentication by Non-Targeted HPLC-UV-FLD Fingerprinting and Chemometrics” LINK




Optics for Spectroscopy

“Perovskites Enabled Highly Sensitive and Fast Photodetectors” LINK




Facts

“Tracing the aqueous alteration history between Isidis and Hellas Planitiae on Mars” LINK

“Remote Sensing : Monitoring Forest Health Using Hyperspectral Imagery: Does Feature Selection Improve the Performance of Machine-Learning Techniques?” | LINK




Research on Spectroscopy

“Sustainability : Finger Millet Production in Ethiopia: Opportunities, Problem Diagnosis, Key Challenges and Recommendations for Breeding” LINK

“Foods : Online Detection of Watercore Apples by Vis/NIR Full-Transmittance Spectroscopy Coupled with ANOVA Method” LINK

“Biosensors : Reflectance Spectroscopy with Multivariate Methods for NondestructiveDiscrimination of Edible Oil Adulteration” LINK




Environment NIR-Spectroscopy Application

“Environmental assessment of soil quality indices using near infrared reflectance spectroscopy” LINK

“Remote Sensing : Ground Observations and Environmental Covariates Integration for Mapping of Soil Salinity: A Machine Learning-Based Approach” LINK




Agriculture NIR-Spectroscopy Usage

“Animals : Optimizing Near Infrared Reflectance Spectroscopy to Predict Nutritional Quality of Chickpea Straw for Livestock Feeding” LINK

“Foods : Development of Nano Soy Milk through Sensory Attributes and Consumer Acceptability” LINK

“Progression of macular atrophy in patients receiving long-term anti-VEGF therapy for age-related macular degeneration; Real Life Data” LINK

“Complexity Assessment of Chronic Pain in Elderly Knee Osteoarthritis Based on Neuroimaging Recognition Techniques” | LINK

“Integrating Genomic and Phenomic Breeding Selection Tools with Field Practices to Improve Seed Composition Quality Traits in Soybean” LINK

“Impact of Forage Diversity on Forage Productivity, Nutritive Value, Beef Cattle Performance and Enteric Methane Emissions.” LINK

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




Horticulture NIR-Spectroscopy Applications

“Correction of Temperature Variation with Independent Water Samples to Predict Soluble Solids Content of Kiwifruit Juice Using NIR Spectroscopy” Kiwi LINK




Food & Feed Industry NIR Usage

“Real-Time Detection of Rice Growth Phase Transition for Panicle Nitrogen Application Timing Assessment” LINK

“Prediction of pork meat quality parameters with existing hyperspectral devices” LINK




Pharma Industry NIR Usage

“First report of rapid, non-invasive, and reagent-free detection of malaria through the skin of patients with a beam of infrared light” LINK




Laboratory and NIR-Spectroscopy

“Yield and Quality Response of Alfalfa Varieties to High Salinity Irrigation” LINK

“Physical and Chemical Characterisation of the Pigments of a 17th-Century Mural Painting in the Spanish Caribbean” LINK




Other

“A Learned SVD approach for Inverse Problem Regularization in Diffuse Optical Tomography. (arXiv:2111.13401v1 [math.NA])” LINK

” การ วัด ปริมาณ ของแข็ง ที่ ละลาย น้า ได้ ของ เนื อ ทุเรียน พันธุ์ หมอนทอง โดย เนีย ร์ อินฟราเรด สเปก โทร ส โก ปี แบบ ออนไลน์ และ ออฟ ไลน์” LINK




Spectroscopy and Chemometrics News Weekly #3, 2021

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 2, 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 2, 2021 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 2, 2021 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK




Near-Infrared Spectroscopy (NIRS)

“On the discrimination of soil samplesby derivative diffuse reflectance UV-Vis-NIR spectroscopy and Chemometric methods” LINK

“Quantitative Analysis of Organic Acids in Pomelo Fruit using FT-NIR Spectroscopy Coupled with Network Kernel PLS Regression” LINK

“Determination of foliar nitrogen in oil palm with spectroscopy in the middle infrared (MIR) and near infrared (NIR) by the method of regression of partial least squares of …” LINK

“Low-cost handheld NIR spectroscopy for identification of organic solvents and low-level quantification of water contamination.” LINK

“Prediction of Andrographolide Content in Andrographis paniculata Using NIR Spectroscopy” LINK

“Non-Destructive Prediction of Moisture Content of Philippine Coffea arabica and Coffea liberica Green Beans Using Locally-Developed NIR Spectroscopy Instrument” LINK

“Rapid and nondestructive evaluation of soluble solids content (SSC) and firmness in apple using Vis–NIR spatially resolved spectroscopy” LINK

“Detection of Flavor Adulterated Pu”er Tea by Near-Infrared Spectroscopy” LINK




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

“Near infrared spectroscopy model for analyzing chemical composition of biomass subjected to Fenton oxidation and hydrothermal treatment” LINK

“Texture evaluation of cooked parboiled rice using nondestructive milled whole grain near infrared spectroscopy” LINK

“Hyperspectral measurement of skin reflectance detects differences in the visible and nearinfrared regions according to race, gender, and body site.” LINK

“Effects of polymer molecular weight on curcumin amorphous solid dispersion; at-line monitoring system based on attenuated total reflectance mid-infrared and near-infrared spectroscopy” LINK

“Near-infrared hyperspectral imaging for monitoring the thickness distribution of thin poly(3,4-ethylenedioxythiophene):poly(styrene sulfonate) (PEDOT:PSS) layers.” LINK

“Improved prediction of potassium and nitrogen in dried bell pepper leaves with visible and near-infrared spectroscopy utilising wavelength selection techniques” LINK

“Identification of Aspergillus species in human blood plasma by infrared spectroscopy and machine learning” LINK

“PLS-DA and Infrared Spectroscopy based rapid and non-destructive discrimination of black ball and gel pen inks for forensic application” forensic LINK

” Analysis of Glycated Hemoglobin by Near-Infrared Spectroscopy” LINK




Hyperspectral Imaging (HSI)

“Spectral feature selection from hyperspectral dataset to identify pistachio leaves infected by Psylla” LINK




Chemometrics and Machine Learning

“Classification of Megathyrsus maximus Accessions Grown in The Colombian Dry Tropical Forest by Nutritional Assessment during contrasting seasons” LINK

“A global calibration model for prediction of intramuscular fat and pH in red meat using hyperspectral imaging” LINK

“Application of near-infrared spectroscopy and chemometrics for the rapid quality assessment of Sargassum fusiforme” LINK

“Comparison of Soil Total Nitrogen Content Prediction Models Based on Vis-NIR Spectroscopy” LINK

“An efficient tea quality classification algorithm based on near infrared spectroscopy and random Forest” LINK

“NIR spectroscopy fruit quality detection algorithm based on the least angle regression model” LINK




Process Control and NIR Sensors

“Free radical detection in water after processing by means of high voltage electrical discharges and high power ultrasound” LINK




Environment NIR-Spectroscopy Application

“Image and Point Data Fusion for Enhanced Discrimination of Ore and Waste in Mining” Minerals LINK




Agriculture NIR-Spectroscopy Usage

“Design of storage time identification system of lettuce based on Adaboost” LINK




Horticulture NIR-Spectroscopy Applications

“Determination of pectin in peach fruit by Fourier transform near infrared spectroscopy.” LINK




Food & Feed Industry NIR Usage

“Lipid and Protein Oxidation Marker Compounds in Horse Meat Determined by MIR Spectroscopy” LINK




Beverage and Drink Industry NIR Usage

“Physical and Chemical Effects of Different Working Gases in Coffee Brewing: A Case Study of Caffè Firenze” LINK

“Simultaneous Determination of Caffeine and Taurine in Energy Drinks by FT-MIR Spectroscopy Coupled with Multivariate Analysis” LINK




Laboratory and NIR-Spectroscopy

“Accurate confidence intervals for inter-laboratory calibration and common mean estimation” LINK




Other

“Alteration in the Amount of Glomalin in Transition from Forest to Field/Meadow” LINK





NIR Analysis in Laboratory and Laboratories – aka NIR Labs and NIR testing


Do you have a NIR spectrometer in your Lab?

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

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

Spectroscopy and Chemometrics News Weekly #29, 2020

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 28, 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 28, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 28, 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)

“Non-invasive method to identify the type of green tea inside teabag using NIR spectroscopy, support vector machines and Bayesian optimization” LINK

“Online milk composition analysis with an on-farm near-infrared sensor” LINK

“Anonymous fecal sampling and NIRS studies of diet quality: Problem or opportunity?” LINK

“Organic and Symbiotic Fertilization of Tomato Plants Monitored by Litterbag-NIRS and Foliar-NIRS Rapid Spectroscopic Methods Running title: Litterbag-NIRS and Foliar-NIRS model in symbiotic tomato” LINK

“Determination of crude protein and metabolized energy with near infrared reflectance spectroscopy (NIRS) in ruminant mixed feeds” LINK




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

“Near Infrared Spectroscopy as an efficient tool for the Qualitative and Quantitative Determination of Sugar Adulteration in Milk” | LINK

“NEAR INFRARED SPECTROSCOPY AS A NEW FIRE SEVERITY METRIC” by Bushfire and Natural Hazards CRC LINK

“Near-infrared spectroscopy for the concurrent quality prediction and status monitoring of gasoline blending” LINK

“Application of Selective Near Infrared Spectroscopy for Qualitative and Quantitative Prediction of Water Adulteration in Milk” LINK

“Predicting Macronutrient of Baby Food using Near-infrared Spectroscopy and Deep Learning Approach” LINK

“Detection of heat treatment of honey with near infrared spectroscopy” LINK

“Use of near infrared spectroscopy in cotton seeds physiological quality evaluation” LINK

“Detection of Haemonchus contortus nematode eggs in sheep faeces using near and mid-infrared spectroscopy” LINK

“Feasibility of using near-infrared measurements to detect changes in water quality” LINK




Hyperspectral Imaging (HSI)

“Hyperspectral waveband selection algorithm based on weighted maximum relevance minimum redundancy and its stability analysis” LINK




Chemometrics and Machine Learning

“Comparative quantification of chlorophyll and polyphenol levels in grapevine leaves sampled from different geographical locations” LINK

“Screening method for determination of C18:1 trans fatty acids positional isomers in chocolate by 1H NMR and chemometrics” LINK

“Combination of efficient signal pre-processing and optimal band combination algorithm to predict soil organic matter through visible and near-infrared spectra” LINK

“A chemometric approach to the evaluation of the ageing ability of red wines” LINK

“Determination of Loline Alkaloids and Mycelial Biomass in Endophyte-Infected Schedonorus Pratensis by Near-Infrared Spectroscopy and Chemometrics” LINK

“A Feasible Approach to Detect Pesticides in Food Samples Using THz-FDS and Chemometrics” LINK

“Prediction of Soluble Solids Content in Green Plum by Using a Sparse Autoencoder” LINK




Process Control and NIR Sensors

“Real-time and field monitoring of the key parameters in industrial trough composting process using a handheld near infrared spectrometer” LINK




Environment NIR-Spectroscopy Application

“Detection and analysis of soil water content based on experimental reflectance spectrum data” LINK

” International Soil and Water Conservation Research” | LINK




Agriculture NIR-Spectroscopy Usage

“Detecting Low Concentrations of Nitrogen-Based Adulterants in Whey Protein Powder Using Benchtop and Handheld NIR Spectrometers and the Feasibility of Scanning through Plastic Bag.” LINK

“Assessment of the genetic diversity of sweetpotato germplasm collections for protein content” LINK

“Near-infrared spectroscopy and imaging in protein research” LINK

“Foods, Vol. 9, Pages 710: Application of ATR-FT-MIR for Tracing the Geographical Origin of Honey Produced in the Maltese Islands” LINK

“Agriculture, Vol. 10, Pages 193: Content of Polyphenolic Compounds and Antioxidant Potential of Some Bulgarian Red Grape Varieties and Red Wines, Determined by HPLC, UV, and NIR Spectroscopy” LINK

“Agronomy, Vol. 10, Pages 787: Assessing Soil Key Fertility Attributes Using a Portable X-Ray Fluorescence: A Simple Method to Overcome Matrix Effect” LINK




Food & Feed Industry NIR Usage

“Non‑destructive testing technology for raw eggs freshness: a review” LINK

“Quantification of multiple adulterants in beef protein powder by FT-NIR” LINK




Beverage and Drink Industry NIR Usage

“Beer Aroma and Quality Traits Assessment Using Artificial Intelligence” LINK




Other

“Tetrahedral Mn4+ as chromophore in sillenite-type compounds” 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.
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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).
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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

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