Spectroscopy and Chemometrics News Weekly #7, 2020

CalibrationModel.com

Improve Accuracy of fast Nondestructive NIR Analytics by Optimal Calibration | Food Feed FoodSafety ag Lab LINK

Develope analytical methods for FT-NIR spectroscopy and optimize for accurate prediction model | NIRS NIR Lab FTNIR foodanalyticaltechnologies analytic qualitycontrol foodindustry beverageindustry LINK

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

Spectroscopy and Chemometrics News Weekly 6, 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 6, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 6, 2020 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK




Near Infrared

“Quality evaluation of decoction pieces of Rhizoma Atractylodis Macrocephalae by near infrared spectroscopy coupled with chemometrics.” LINK

“An overview of near-infrared spectroscopy (NIRS) for the detection of insect pests in stored grains” LINK

“A high-throughput quantification of resin and rubber contents in Parthenium argentatum using near-infrared (NIR) spectroscopy” LINK

The latest generation of near-infrared (NIR) spectroscopy systems designed for on-line measurement of properties opens up new possibilities for measuring product properties. LINK

“In situ ripening stages monitoring of Lamuyo pepper using a new generation NIRS sensor” LINK

“Detection of aflatoxin B1 on corn kernel surfaces using visible-near infrared spectra” LINK

” Estimation of soil phosphorus availability via visible and near-infrared spectroscopy” LINK

“Multivariate Classification of Prunus Dulcis Varieties using Leaves of Nursery Plants and Near Infrared Spectroscopy.” LINK

“Detection of Dibutyl Phthalate (DBP) Content in Liquor Based on Near Infrared Technology” LINK

“Analysis of incensole acetate in Boswellia species by near infrared spectroscopy coupled with partial least squares regression and cross-validation by high …” LINK

“Near infrared analysis of pharmaceutical powders with empirical target distribution optimization (ETDO)” LINK

“Salt Content Prediction System of Dried Sea Cucumber (Beche-de-mer) Based on Visual Near-Infrared Imaging” LINK

“Rapid determination of the content of digestible energy and metabolizable energy in sorghum fed to growing pigs by near-infrared reflectance spectroscopy” LINK

” Identification of Plastic Types Using Discrete Near Infrared Reflectance Spectroscopy” LINK

“An IOT-Based System for Classification and Identification of Plastic Waste Using Near Infrared Spectroscopy” LINK

“Parametric-scaling optimization of pretreatment methods for the determination of trace/quasi-trace elements based on near infrared spectroscopy” LINK

“Inline control of yoghurt fermentation process using a near infrared light backscatter sensor” LINK




Raman

“Detection of Avian Influenza Virus” RamanSpectroscopy LINK




Hyperspectral

“Hyperspectral imaging to determine pigment content in leaves” LINK

“Impact of drought on Eucalyptus wood chemistry by near infra red hyperspectral imaging” LINK

“Prediction of Eucalyptus grandis chemical compounds in a climate change context using hyperspectral imaging” LINK

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




Chemometrics

“Machine learning methods to predict solubilities of rock samples” LINK

“Weighted incremental minimax probability machine-based method for quality prediction in gasoline blending process” LINK

“Using chemometrics tools to gain detailed molecular information on chemical processes” LINK

“A Non-Destructive Oil Palm Fruit Freshness Prediction System with Artificial Neural Network” LINK

“Calibration models for the nutritional quality of fresh pastures by nearinfrared reflectance spectroscopy” LINK




Equipment

“Circuit System Design of Handheld Near Infrared Spectrometer” LINK




Agriculture

“Remote Sensing, Vol. 12, Pages 93: Using Visual Ozone Damage Scores and Spectroscopy to Quantify Soybean Responses to Background Ozone” LINK

“NIR Hyperspectral Imaging Technology Combined with Multivariate Methods to Study the Residues of Different Concentrations of Omethoate on Wheat Grain Surface.” LINK

“Remote Sensing, Vol. 12, Pages 63: Optimal Spectral Wavelengths for Discriminating Orchard Species Using Multivariate Statistical Techniques” LINK

“Growth, physiological, anatomical and nutritional responses of two phenotypically distinct passion fruit species (Passiflora L.) and their hybrid under saline conditions” LINK

“Determination of Pesticide Residual Levels in Strawberry (Fragaria) By Near‐Infrared Spectroscopy” LINK

“Identification of heat damage of imported soybeans based on hyperspectral imaging technology” LINK

“Influence of Rice Flour, Glutinous Rice Flour, and Tapioca Starch on the Functional Properties and Quality of an Emulsion-Type Cooked Sausage” LINK




Other

“Investigation of the effects of particle size on fragmentation during tableting” LINK

“Fourier-transform complementary vibrational spectroscopy” LINK





NIR Calibration Service explained

Our Service is different

  • We build the optimal quantitative prediction models for your NIR analytical needs (No need for mathematical/statistical model building software usage at your site).
  • The NIR-Predictor software and the calibration models are at your site. No internet connection needed to our service. You can do unlimited predictions, that allows fast measurement cycles with no extra cost (Not payed per prediction).
  • You own your data and the calibrations. You can have access to the detailed Calibration Report with all the settings and statistics (No Black-Box Models).

Get NIR Calibrations

Get NIR Calibrations - Workflow
Your 4 steps to the applicable NIR calibration:
  1. Download free NIR-Predictor here
  2. Combine NIR-Spectra with Lab-Reference values, see Video for 2. and 3. (manual)
  3. Create a Calibration Request and sent it to info@CalibrationModel.com (CM)
  4. After processing you will get a link to the Web Shop to download the calibrations.



Use NIR Calibrations

Use NIR Calibrations Workflow
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In other words

Calibration Model simplifies the process of training machine learning models for NIRS data while providing an opportunity to trying different algorithms and applied near-infrared spectroscopy (NIRS) knowledge. It’s more than an AutoML platform, it’s a full service where you can download the optimal model and its describing Calibration Report that provide insights into the data preparation, feature engineering, model training, and hyperparameter tuning.

Start Calibrate

Spectroscopy and Chemometrics News Weekly #2, 2020

CalibrationModel.com

Spectroscopy and Chemometrics News Weekly 1, 2020 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Quality Testing LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 1, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 1, 2020 | NIRS NIR Spettroscopia MachineLearning AI analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio Application analisi qualità QC Analysesystem prediction LINK

Five Mistakes to avoid on Digitalization in NIR-Spectroscopy – that Lab Managers, Executives and CEOs must know! NIRSpectroscopy NIRS Sensors NearInfrared Analyzers DigitalTransformation QualityControl foodtech machinelearning AI datascience LINK

SAFE COST IN MAINTAINING NIR-SPECTROSCOPY METHODS | NIRSpectroscopy NIRS Spectroscopy DigitalTransformation Analysis Lab Laboratory Application Quantitative Analysis Methods Measurements Analytical Parameters Spectrometer Quality Accuracy LINK

Do you develop NIR / NIRS calibrations by yourself? Can you sell it? No? Buy it! Digitalization LabManager LabAutomation CEO Digitalisation Spectroscopy AutoML LowCost lowerCost SaveMoney SaveTime Efficiency Effectivity 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

“Study of chemical compound spatial distribution in biodegradable active films using NIR hyperspectral imaging and multivariate curve resolution” LINK

“Advances in Near Infrared Spectroscopy and Related Computational Methods” MDPI Books – Pages: 496 OpenAccess | NIRSpectroscopy NIRS NIR LINK

” Ampliación de una librería espectral de mezclas unifeed analizadas en un instrumento NIRS de laboratorio” LINK

“Applied Sciences, Vol. 9, Pages 5058: Single-Kernel FT-NIR Spectroscopy for Detecting Maturity of Cucumber Seeds Using a Multiclass Hierarchical Classification Strategy” LINK

” Visible-near Infrared (VIS-NIR) Spectroscopy as a Rapid Measurement Tool to Assess the Effect of Tillage on Oil Contaminated Sites” LINK

“Non-invasive measurements of ‘Yunhe’pears by vis-NIRS technology coupled with deviation fusion modeling approach” LINK

“Standard Analytical Methods, Sensory Evaluation, NIRS and Electronic Tongue for Sensing Taste Attributes of Different Melon Varieties.” LINK

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

“Prediction Model of the Key Components for Lodging Resistance in Rapeseed Stalk Using Near-Infrared Reflectance Spectroscopy (NIRS)” LINK

“NIR spectroscopic determination of urine components in spot urine: preliminary investigation towards optical point-of-care test.” LINK

“O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression.” LINK

“Authentication of Tokaj Wine (Hungaricum) with the Electronic Tongue and Near Infrared Spectroscopy.” LINK

“Potential of the near-infrared spectroscopy for the discrimination of wood and charcoal of four native Myrtaceae species in southern Brazil” LINK

“Estimating the Carbon Content of Coastal Wetland Vegetation With Visible and Near-Infrared Reflectance Spectroscopy” LINK

“Species-and Moisture-based Sorting of Green Timber Mix with Near Infrared Spectroscopy” LINK

“Potential of Near-Infrared Spectroscopy to Evaluate the Cleaning Performance of Dishwashing Processes” LINK

” Near Infrared Spectroscopic Study of Trioctahedral Chlorites and Its Remote Sensing Application” LINK

” Interactive comment on “Estimation of effective calibration sample size using visible near infrared spectroscopy: deep learning vs machine learning”” LINK




Hyperspectral

“Remote Sensing, Vol. 11, Pages 2731: Eco-Friendly Estimation of Heavy Metal Contents in Grapevine Foliage Using In-Field Hyperspectral Data and Multivariate Analysis” LINK




Spectral Imaging

“Multispectral cross-polarization reflectance measurements suggest high contrast of demineralization on tooth surfaces at wavelengths beyond 1300 nm due to reduced light scattering in sound enamel.” LINK




Chemometrics

“Visible-Near Infrared Spectroscopy and Chemometric Methods for Wood Density Prediction and Origin/Species Identification” Forests LINK

“Comparison of two augmented classical least squares algorithms and PLS for determining nifuroxazide and its genotoxic impurities using UV spectroscopy” LINK

“Why should the pharmaceutical industry claim for the implementation of second-order chemometric models-A critical review.” LINK

“Use of near infrared spectroscopy coupled with chemometrics for fast detection of irradiated dry fermented sausages” LINK

” Hyperspectral analysis for a robust assessment of soil properties using adapted PLSR method” LINK




Equipment

“Toward complete oral cavity cancer resection using a handheld diffuse reflectance spectroscopy probe.” LINK




Process Control

“Combining convolutional neural networks and inline nearinfrared spectroscopy for realtime monitoring of the chromatographic elution process in commercial production of notoginseng total saponins” LINK




Agriculture

“Fast measurement of phosphates and ammonium in fermentation-like media: a feasibility study.” LINK

“Application of Near-Infrared Hyperspectral Imaging with Machine Learning Methods to Identify Geographical Origins of Dry Narrow-Leaved Oleaster (Elaeagnus angustifolia) Fruits” LINK

“Rapid visible-near infrared (Vis-NIR) spectroscopic detection and quantification of unripe banana flour adulteration with wheat flour.” LINK

“Molecules, Vol. 24, Pages 4310: Chemometric Characterization of Strawberries and Blueberries according to Their Phenolic Profile: Combined Effect of Cultivar and Cultivation System” LINK

“Evaluating Soybean Meal Quality Using Near-Infrared Reflectance Spectroscopy” LINK

“Changes in Human Milk Fatty Acid Composition During Lactation: The Ulm SPATZ Health Study” Nutrients LINK




Food & Feed

“Photothermal treatment of port-wine stains using erythrocyte-derived particles doped with indocyanine green: a theoretical study.” LINK




Other

” Breeding and Testing Corn for Reduced Aflatoxin Contamination and Increased Drought Tolerance for Texas” LINK





Spectroscopy and Chemometrics News Weekly #1, 2020

CalibrationModel.com

Five Mistakes to avoid on Digitalization in NIR-Spectroscopy – that Lab Managers, Executives and CEOs must know! NIRSpectroscopy NIRS Sensors NearInfrared Analyzers DigitalTransformation QualityControl foodtech machinelearning AI datascience LINK

SAFE COST IN MAINTAINING NIR-SPECTROSCOPY METHODS | NIRSpectroscopy NIRS Spectroscopy DigitalTransformation Analysis Lab Laboratory Application Quantitative Analysis Methods Measurements Analytical Parameters Spectrometer Quality Accuracy LINK

Do you develop NIR / NIRS calibrations by yourself? Can you sell it? No? Buy it! Digitalization LabManager LabAutomation CEO Digitalisation Spectroscopy AutoML LowCost lowerCost SaveMoney SaveTime Efficiency Effectivity LINK

5 Fehler, die es bei der Digitalisierung in der NIR-Spektroskopie zu vermeiden gilt – das müssen Labormanager, Führungskräfte und CEOs wissen! NIRSpectroscopy NIRS Sensor NearInfrared Analyzers DigitalTransformation foodtech machinelearning LINK

Spectroscopy & Chemometrics News Weekly 52, 2019 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Food Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality Check LINK

Spectroscopy & Chemometrics News Weekly 51, 2019 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory AI Software IoT Sensors QA QC Testing Quality LINK

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

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



Near Infrared

“Estimation and classification of popping expansion capacity in popcorn breeding programs using NIR spectroscopy” LINK

“Simultaneous detection of quality and safety in spinach plants using a new generation of NIRS sensors” LINK

“Identification of Genuine and Adulterated Pinellia ternata by Mid-Infrared (MIR) and Near-Infrared (NIR) Spectroscopy with Partial Least Squares – Discriminant …” LINK

“Monitoring coffee roasting cracks and predicting with in situ near-infrared spectroscopy” LINK

“Assessment of a soil fertility index using visible and near-infrared spectroscopy in the rice paddy region of southern China” LINK

“Conversion of the Felixton Mill laboratory from conventional to NIRS analysis.” LINK

“Automatic cancer discrimination based on near-infrared spectrum and class-modeling technique” LINK

“Food powders classification using handheld Near-Infrared Spectroscopy and Support Vector Machine” LINK

“Development and validation of a method for separation of pregabalin and gabapentin capsules using Near Infrared hyperspectral imaging” LINK

“Field-resolved infrared spectroscopy of biological systems” Nature LINK

“Infrared spectroscopy finally sees the light” nature LINK

“Journal Highlight: Estimation of protein and fatty acid composition in shellintact cottonseed by near Infrared reflectance spectroscopy” LINK

” Visible/near-infrared Spectroscopy as a Novel Technology for Nondestructive Detection of Escherichia coli ATCC 8739 in Lettuce Samples” LINK

“The model updating based on near infrared spectroscopy for the sex identification of silkworm pupae from different varieties by a semi-supervised learning with pre …” LINK

“… Study on the Determination of ppm-Level Concentration of Histamine in Tuna Fish Using a Dry Extract System for Infrared Coupled with Near-Infrared Spectroscopy” LINK




Raman

“Transmission Raman Spectroscopic Quantification of Active Pharmaceutical Ingredient in Coated Tablets of Hot-Melt Extruded Amorphous Solid Dispersion” LINK




Hyperspectral

“Plastic waste monitoring and recycling by hyperspectral imaging technology” LINK

“Comparison of Ink Classification Capabilities of Classic Hyperspectral Similarity Features” LINK




Chemometrics

“DEVELOPING NEAR INFRARED SPECTROSCOPIC MODELS FOR PREDICTING DENSITY OF Eucalyptus WOOD BASED ON INDIRECT MEASUREMENT” LINK

“Development of Partial Least Square (PLS) Prediction Model to Measure the Ripeness of Oil Palm Fresh Fruit Bunch (FFB) by Using NIR Spectroscopy” LINK




Facts

“Bombs and cocaine: detecting nefarious nitrogen sources using remote sensing and machine learning” LINK




Agriculture

“Laboratory-based hyperspectral image analysis for the classification of soil texture” LINK

“Research on simultaneous detection of SSC and FI of blueberry based on hyperspectral imaging combined MS-SPA” LINK

“Polymers, Vol. 12, Pages 78: Insight into the Intermolecular Interaction and Free Radical Polymerizability of Methacrylates in Supercritical Carbon Dioxide” LINK

“Optimizing the procedure of grain nutrient predictions in barley via hyperspectral imaging.” LINK




Other

“绿泥石矿物近红外光谱吸收谱带的位移机理与控制机制研究” LINK

“Spektroskopie – Unverwechselbarer molekularer Fingerabdruck” LINK





Five Mistakes to avoid on Digitalization in NIR-Spectroscopy – that Lab Managers, Executives and CEOs must know!

The fast and non-destructive NIR-Spectroscopy analysis method is based on predictive models that are built upon spectral and Lab reference data.

Developing such models with Chemometric techniques or Machine Learning Algorithms can now be fully automatized with many advantages.

If your company uses NIR-Spectroscopy, do you know if your company yet tried this calibration service? And if not, why not?

Here are some possible reasons why such services are blocked in your company.

With the knowledge where and why it may be blocked, you are able to overcome the barriers and go for innovation.

Misbeliefs of People that may block Advanced Services (AI and Automatic Machine Learning)


5 Mistakes to avoid on Digitalization in NIR-Spectroscopy
Misbeliefs People Remove barriers
1 You need to program or scripting with data modeling tools (R, Phyton, TensorFlow, Matlab, sas, SPSS, H2O, scikit, …..) The opinion that only PhD (statisticians, data scientists) are smart enough to create models. Give the service a try, and compare! There are free trials for calibration development.
2 We have done it always manually by hand. We must see the plots and interpret the stats in every step.
Job protectionism : “My job will dramatically change if that will work, so I will never prepare real-life data to give someone a possibility to try such a service.”
AI / ML haters (NIR-Specialists, NIR-Experts) don’t belive in automated calibration. Give the service a try, and compare! You will see plots and stats! There are free trials for calibration development.
3 Against any new hardware, software or service because of supposed new problems. Preserving ones – the permission gate keepers (IT) Give it a try, without an account, download the free NIR-Predictor software (full version, no limitations) with included demo data, it installs and runs without Administrator priviledge!
4 Ensures that new methodologies follow the rules. Any new thing will give extra work for them. Compliance and Regulation officers. Get access to the detailed model blueprint (ISO 12099) – there is no vendor lock-in or black-box model. You can even anonymize your data for Knowledge Protection – see JCAMP-Anonymizer.
5 Our employees are open for new things. Our employees do not block. Managers, executives, board level. Remove the Barriers to Innovation!


Start Calibrate

Cost comparision / Price comparison of Chemometrics / Machine Learning / Data Science for NIR-Spectroscopy

CalibrationModel.com (CM) versus Others

Costs are not everything, there are other important factors listed in the table.

CM fix € pricing Others € Price Range (approx.)
Software
included
Chemometric Package not‑needed
€3500 – €6500 per user
Chemometric Predictor
free‑software
€1500 – €2500 per NIR device
Knowledge
included
Chemometric Training not‑needed
€1500 – €2500 per user
Chemometrician* Salary not‑needed
1 years Salary / year
(+ risk of Employee Turnover)
Computation
included
Powerful Computer (many Processors, lot of RAM for big data) not‑needed
€1500 – €4500 per computer
Development and Usage
Development of a Calibration
€128
€80 – €150 / hour
of Chemometrician* using a Chemometric Software (click and wait) and applying it’s knowledge
Usage of a Calibration
€60 / year
Total €178 in first year
€60 in second year
initial (min €8000 , max €15500)
+ 2 * (2 – 4)(hour to cost same! as CM service) * (€80 – €150) Chemometrician* work
no initial cost
very high initial costs
no personnel cost
high personnel* costs
constant CM services
risk of Employee Turnover
global knowledge
risk of only use personal knowledge
easy to calculate fix cost on demand
difficult to calculate variable cost on demand plus Chemometrician* Recruitment needed
Results :
calibration prediction performance
always reproducible highly optimized
only as good as your Chemometrician* daily condition
better prediction performance, due to best-of 10’000x calibrations
small size of experiments, non-optimal calibrations

See also: pricing

Start Calibrate

*) Personnel / Chemometrician / Data Scientist / Data Analyst / Machine Learning Engineer : We are not against it, we are one of them a long time ago, but the way the work is done is changing (see below).

2019 Digitalization and the Future of Work: Macroeconomic Consequences
2019 The Digitalization of the American Workforce
2017 Digitalization and the American workforce , full-report

Spectroscopy and Chemometrics News Weekly #38, 2019

CalibrationModel.com

New: free NIR-Predictor V2.4 supports file formats out of the box from: @TIDLP @ViaviSolutions @OceanOpticsEMEA @my_scio @SiWareSystems @SpectralEngines @trinamiX_GmbH @StellarNet – Mobile NIRS portable NIR2019 NIR2020 Analyzers LINK

Spectroscopy and Chemometrics News Weekly 37, 2019 | NIRS NIR Spectroscopy Chemometrics Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software Sensors QA QC Testing Quality Checking LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 37, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 37, 2019 | NIRS NIR Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem prediction models LINK

This week’s NIR news Weekly is sponsored by your-Company-Name-here – Best-NIR-instruments. Check out their product page … link




Chemometrics

“Potential biomonitoring of atmospheric carbon dioxide in Coffea arabica leaves using near-infrared spectroscopy and partial least squares discriminant analysis” LINK

“Quantitative Real-Time Release Testing of Rhubarb based on Near-Infrared Spectroscopy and Method Validation” LINK

“Identification of lactic acid bacteria Enterococcus and Lactococcus by near-infrared spectroscopy and multivariate classification” LINK

“Determination of manganese content in cottonseed meal using near-infrared spectrometry and multivariate calibration” LINK

“Advanced Modeling of Soil Biological Properties Using Visible Near Infrared Diffuse Reflectance Spectroscopy” |:ijbs1&volume=5&issue=1&article=001 LINK

“山茶油中油酸和亚油酸近红外光谱分析模型” “Analysis Model of Oleic and Linoleic Acids in Camellia Oilvia Near-Infrared Spectroscopy” LINK

“Determination of 10-Hydroxy-2-Decenoic Acid of Royal Jelly Using Near-Infrared Spectroscopy Combined with Chemometrics.” LINK

“Predicting of the Quality Attributes of Orange Fruit Using Hyperspectral Images” LINK

“Rapid and Automatic Classification of Tobacco Leaves Using a Hand-Held DLP-Based NIR Spectroscopy Device” LINK

“Association of mid-infrared-predicted milk and blood constituents with early-lactation disease, removal, and production outcomes in Holstein cows” |(19)30787-8/fulltext LINK

“Machine learning and soil sciences: A review aided by machine learning tools” LINK




Near Infrared

“Soil characterization using Visible Near Infrared Diffuse Reflectance Spectroscopy (VNIR DRS)” LINK

“Quantification of soil organic carbon stock in urban soils using visible and near infrared reflectance spectroscopy (VNIRS) in situ or in laboratory conditions” LINK

“Assessment of the human albumin in acid precipitation process using NIRS and multi-variable selection methods combined with SPA” LINK

” Implementación de estrategias de muestreo, inspección y control en la industria agroalimentaria basadas en el empleo automatizado de sensores nirs” LINK

“Determination of glucose concentration in aqueous solution using FT NIR spectroscopy” LINK

“Near infrared spectroscopy for world food security” LINK

“Titanium dioxide as an adsorbent to enhance the detection ability of near-infrared diffuse reflectance spectroscopy” LINK

“Near-infrared diffuse reflectance spectroscopy for discriminating fruit and vegetable products preserved in glass containers” LINK

“Ability of near-infrared spectroscopy for non-destructive detection of internal insect infestation in fruits: Meta-analysis of spectral ranges and optical measurement …” LINK

“Molecules, Vol. 24, Pages 3268: Near-Infrared Hyperspectral Imaging Combined with Deep Learning to Identify Cotton Seed Varieties” LINK

“Improvement of the Fourier Transform Near Infrared Method to Evaluate Extra Virgin Olive Oils by Analyzing 1,2-Diacylglycerols and 1,3-Diacylglycerols and Adding Unesterified Fatty Acids.” LINK




Agriculture

“51 Feedstuff fatty acid content, variation, techniques and implications on practical animal nutrition” LINK

“Prediction of Milk Coagulation Properties and Individual Cheese Yield in Sheep Using Partial Least Squares Regression” Animals LINK




Food & Feed

“Classifying the fertility of dairy cows using milk mid-infrared spectroscopy” LINK





Spectroscopy and Chemometrics News Weekly #37, 2019

CalibrationModel.com

The new Version V2.4 of the free NIR-Predictor supports multiple native file formats of miniature, mobile and desktop spectrometers get your spectra analyzed as easy as Drag’n’Drop. LINK

Spectroscopy and Chemometrics News Weekly 36, 2019 | NIRS NIR Spectroscopy Chemometrics Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software Sensors QA QC Testing Quality Checking LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 36, 2019 | NIRS NIR Spektroskopie Spektrometer Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse Qualitätslabor LINK

Spettroscopia e Chemiometria Weekly News 36, 2019 | NIRS NIR Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem predictionmodel LINK




Chemometrics

“Identification of Passion Fruit Oil Adulteration by Chemometric Analysis of FTIR Spectra” LINK

“Investigating the use of visible and near infrared spectroscopy to predict sensory and texture attributes of beef M.longissimus thoracis et lumborum.” LINK

“Optimized prediction of sugar content in ‘Snow’ pear using near-infrared diffuse reflectance spectroscopy combined with chemometrics” LINK

“FT-NIR spectroscopy and multivariate classification strategies for the postharvest quality of green-fleshed kiwifruit varieties” FTNIR LINK

“An Approach to Rapid Determination of Tween-80 for the Quality Control of Traditional Chinese Medicine Injection by Partial Least Squares Regression in Near-Infrared Spectral Modeling” LINK

“Assessing macro-element content in vine leaves and grape berries of vitis vinifera by using near-infrared spectroscopy and chemometrics” LINK

“Investigating the use of visible and near infrared spectroscopy to predict sensory and texture attributes of beef M. longissimus thoracis et lumborum” LINK

“Rapid classification of commercial Cheddar cheeses from different brands using PLSDA, LDA and SPA-LDA models built by hyperspectral data” LINK




Near Infrared

“A Comparison of Sparse Partial Least Squares and Elastic Net in Wavelength Selection on NIR Spectroscopy Data.” LINK

“Reliability of NIRS portable device for measuring intercostal muscles oxygenation during exercise” LINK

“Ability of near-infrared spectroscopy for non-destructive detection of internal insect infestation in fruits: Meta-analysis of spectral ranges and optical measurement modes.” LINK

“Analysis of the Acid Detergent Fibre Content in Turnip Greens and Turnip Tops (Brassica rapa L. Subsp. rapa) by Means of Near-Infrared Reflectance.” LINK

“Lipid-Core Plaque Assessed by Near-Infrared Spectroscopy and Procedure Related Microvascular Injury.” LINK

“Analysis of the Acid Detergent Fibre Content in Turnip Greens and Turnip Tops (Brassica rapa L. Subsp. rapa) by Means of Near-Infrared Reflectance” Foods LINK

“Online monitoring of multiple component parameters during ethanol fermentation by near-infrared spectroscopy.” LINK




Hyperspectral

“Identifying Freshness of Spinach Leaves Stored at Different Temperatures Using Hyperspectral Imaging.” LINK

“Identifying Freshness of Spinach Leaves Stored at Different Temperatures Using Hyperspectral Imaging” Foods LINK




Equipment

“Investigations into the use of handheld near-infrared spectrometer and novel semi-automated data analysis for the determination of protein content in different cultivars of Panicum miliaceumL.” LINK




Agriculture

“Use of near-infrared spectroscopy for the rapid evaluation of soybean [Glycine max (L.) Merri.] water soluble protein content.” LINK




Food & Feed

“Rapid visible-near infrared (Vis-NIR) spectroscopic detection and quantification of unripe banana flour adulteration with wheat flour” LINK





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Spectroscopy and Chemometrics News Weekly #36, 2019

CalibrationModel.com

9 Reasons why near-Infrared Spectroscopy Applications need periodic Calibration Maintenance | NIR NIRS Infrared LINK

Improve Accuracy of fast Nondestructive NIRS Measurements by Optimal Chemometric Modelling | pauto QAQC LINK

Spectroscopy and Chemometrics News Weekly 35, 2019 | NIRS NIR Spectroscopy Chemometrics Spectrometer processcontrol Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software Sensors QA QC Testing Quality Check LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 35, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie LINK

Spettroscopia e Chemiometria Weekly News 35, 2019 | NIRS NIR Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem predictionmodels LINK




Chemometrics

“Comparison of whole-tree wood property maps based on near-infrared spectroscopic calibrations utilizing data at different spatial resolutions” LINK

“Prediction of beef meat fatty acid composition by visible-near-infrared spectroscopy was improved by preliminary freeze-drying.” LINK

“Scalable calibration transfer without standards via dynamic time warping for near-infrared spectroscopy” LINK

“Cross components calibration transfer of NIR spectroscopy model through PCA and weighted ELM-based TrAdaBoost algorithm” LINK

“Strategies for the efficient estimation of soil organic carbon at the field scale with vis-NIR spectroscopy: Spectral libraries and spiking vs. local calibrations” LINK

“Application of Near-Infrared for Online Monitoring of Heavy Fuel Oil at Thermoelectric Power Plants. Part I: Development of Chemometric Models” LINK

“Accuracy and biases in predicting the chemical and physical traits of many types of cheeses using different visible and near-infrared spectroscopic techniques and spectrum intervals” LINK

“A Regional Legacy Soil Dataset for Prediction of Sand and Clay Content with Vis-Nir-Swir, in Southern Brazil” LINK

“Rapid prediction of atrazine sorption in soil using visible near-infrared spectroscopy” LINK

“Developing Calibration Model for Prediction of Malt Barley and Teff Genotypes Quality Traits Using Near Infrared Spectroscopy (NIRS)” LINK

” Prediction of Glycogen and Moisture Contents in Japanese Wagyu Beef by Fourier Transform Near-infrared Spectroscopy for Quality Evaluation” LINK




Near Infrared

“基于核局部保持投影的近红外光谱玉米单倍体识别研究” “Research on Identifying Maize Haploid Seeds Using Near Infrared Spectroscopy Based on Kernel Locality Preserving Projection” LINK

“种基于近红外光谱与化学计量学的绿茶快速无损鉴别方法” “Nondestructive Identification of Green Tea Based on Near Infrared Spectroscopy” LINK

“纺织品近红外光谱定性分析的一种新方法” “A New Method for Qualitative Analysis of Near Infrared Spectra of Textiles” LINK

“NIR-based Sudan I to IV and Para-Red food adulterants screening” LINK

“Evaluation of sensory and texture profile analysis properties of stored Khalal Barhi dates nondestructively using Vis/NIR spectroscopy” LINK

“Safety and quality issues in summer squashes using handheld portable NIRS sensors for real-time decision making and on-vine monitoring” LINK

“Age grading An. gambiae and An. arabiensis using near infrared spectra and artificial neural networks.” mosquitoes LINK

“Identification of turkey meat and processed products using near infrared spectroscopy” LINK

“Development and Testing of a Portable Soil Nitrogen Detector Based on Near-infrared Spectroscopy” LINK




Raman

” “Resonance” Raman spectroscopy with 1-nm resolution” LINK




Equipment

“Single-nanowire spectrometers” nanowire nanotechnology LINK

“Scientists Develop Smallest Spectrometer Ever, And The Applications Are Incredible” LINK




Agriculture

“Rapid Estimation of Wheat Straw Decomposition Constituents Using Near-Infrared Spectroscopy” Agronomy LINK

“Evaluating different approaches to non-destructive nitrogen status diagnosis of rice using portable RapidSCAN active canopy sensor.” LINK




Medicinal

“Effect of Reduced Point NIR Spectroscopy on Glucose Prediction Error in Human Blood Tissue” LINK





Spectroscopy and Chemometrics News Weekly #35, 2019

Near Infrared (NIR)

“Evaluation of diesel exhaust fluid (DEF) using near-infrared spectroscopy and multivariate calibration” LINK

“A weighted ensemble method based on wavelength selection for near-infrared spectroscopic calibration” LINK

“110th Anniversary: Real-Time Endpoint Detection of Fluidized Bed Drying Process Based on a Switching Model of Near-Infrared Spectroscopy” LINK

“Supervised Dictionary Learning with Regularization for Near-infrared Spectroscopy Classification” tobacco NIRS LINK

“Evaluation of NIRS as non-destructive test to evaluate quality traits of purple passion fruit” LINK

“A Comparison of Sparse Partial Least Squares and Elastic Net in Wavelength Selection on NIR Spectroscopy Data” LINK

“High-throughput analysis of leaf physiological and chemical traits with VIS-NIR-SWIR spectroscopy: a case study with a maize diversity panel.” LINK

“Comparative study on the use of three different near infrared spectroscopy recording methodologies for varietal discrimination of walnuts” LINK

“Support vector machine regression on selected wavelength regions for quantitative analysis of caffeine in tea leaves by near infrared spectroscopy” LINK

“Use of near infrared spectroscopy and spectral database to assess the quality of pharmaceutical products and aid characterization of unknown components” LINK

“Determination of soil organic matter using visible-near infrared spectroscopy and machinelearning” LINK

“Evaluation of acetic acid and ethanol concentration in a rice vinegar internal venturi injector bioreactor using Fourier transform near infrared spectroscopy” LINK




Chemometrics

“Determination of the superficial citral content on microparticles: An application of NIR spectroscopy coupled with chemometric tools” LINK

“Non-Invasive Tools to Detect Smoke Contamination in Grapevine Canopies, Berries and Wine: A Remote Sensing and Machine Learning Modeling Approach” LINK

“Optimization of soluble solids content prediction models in ‘Hami’melons by means of Vis-NIR spectroscopy and chemometric tools” LINK

“Fast quantitative detection of Black Pepper and Cumin adulterations by near-infrared spectroscopy and multivariate modeling” LINK

“Prediction of toughness and other beef quality characteristics of the m. longissimus thoracis using polarized near-infrared reflectance spectroscopy” LINK

“Application of near infrared for on-line monitoring of heavy fuel oil at thermoelectric power plants. Part I: Development of chemometric models” LINK

What’s a Near-Infrared-sensor for combines? Donau Soja collects data from soya fields for the soya yield- and protein prediction model within CYBELE_H2020. The NIR sensor measures & maps protein, oil and other quality parameters in real time during the upcoming harvest season! LINK

“NIRs calibration models for chemical composition and fatty acid families of raw and freeze-dried beef: a comparison” LINK

“Honey botanical origin classification using hyperspectral imaging and machine learning” LINK




CalibrationModel.com

Spectroscopy and Chemometrics News Weekly 34, 2019 | NIRS NIR Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Software Sensors QAQC Testing Quality Checking LabManagers laboratory digitalization LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 34, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer Sensor Nahinfrarot Chemie Analytik Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse Qualitätslabor labdata LINK

Spettroscopia e Chemiometria Weekly News 34, 2019 | NIRS NIR Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem prediction models LINK




Facts

Most people now know companies like Google & Facebook collect & sell your data. Yet some people still think, “So what? I have nothing to hide.” Here’s five compelling reasons to tell them why your privacy is worth more than you think! LINK




Environment

“Relevance of a near infrared spectral index for assessing tillage and fertilization effects on soil water retention” LINK




Agriculture

“Fast And Simultaneous Prediction Of Agricultural Soil Nutrients Content Using Infrared Spectroscopy” LINK

“Quantitative and qualitative phenotyping of disease resistance of crops by hyperspectral sensors: seamless interlocking of phytopathology, sensors, and machine learning is needed!” LINK

“Prediction of macronutrients in plant leaves using chemometric analysis and wavelength selection” LINK




Other

“Spectroscopic data supporting investment decisions” LINK





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