Spectroscopy and Chemometrics/Machine-Learning News Weekly #52, 2021

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 51, 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 51, 2021 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 51, 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)

“Quantitative analysis of blend uniformity within a Three-Chamber feed frame using simultaneously Raman and Near-Infrared spectroscopy” LINK

“Near-Infrared Spectroscopy: A New Diagnostic Tool for Determination of Somatic Cell Count” LINK

“Estrus Detection in Dairy Cows Using Near-Infrared Spectroscopy and Aquaphotomics” | LINK

“Development and Validation of Near-Infrared Methods for the Quantitation of Caffeine, Epigallocatechin-3-gallate, and Moisture in Green Tea Production” LINK

“Application of NIR spectroscopy for rapid quantification of acid and peroxide in crude peanut oil coupled multivariate analysis” LINK

“Sensors : Development of an Integrated EEG/fNIRS Brain Function Monitoring System” LINK

“Rapid quality evaluation of Plantaginis Semen by near infrared spectroscopy combined with chemometrics” LINK

“Classification of Browning on Intact Table Grape Bunches Using Near-Infrared Spectroscopy Coupled With Partial Least Squares-Discriminant Analysis and Artificial Neural Networks” | LINK

“Applied Sciences : Plasmon Resonant Two-Photon Luminescence Inducing Photosensitization and Nonlinear Optical Microscopy In Vivo by Near-Infrared Excitation of Au Nanopeanuts” LINK

“Foods : Measurement Strategies for the Classification of Edible Oils Using Low-Cost Miniaturised Portable NIR Instruments” LINK

“Applied Sciences : Non-Destructive Detection of Asymptomatic Ganoderma boninense Infection of Oil Palm Seedlings Using NIR-Hyperspectral Data and Support Vector Machine” LINK




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

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




Hyperspectral Imaging (HSI)

“Examination of Wheat Kernels for the Presence of Fusarium Damage and Mycotoxins using Near-Infrared Hyperspectral Imaging” LINK




Chemometrics and Machine Learning

“Measurement of Somatic Cell Count in the 700-1,100 nm Short Wavelength Region Using PLS Regression and Referenced Data” LINK

“ChemHouse: A research and development centre for chemometrics” LINK

“Dehydration as a Tool to improve predictability of sugarcane juice carbohydrates using near-infrared spectroscopy based PLS models” LINK

“European fingerprint study on omeprazole drug substances using a multi analytical approach and chemometrics as a tool for the discrimination of manufacturing …” LINK

“Chemometric analysis in Raman spectroscopy from experimental design to machine learning-based modeling” LINK




Research on Spectroscopy

“Applied Sciences : A Rapid Method for the Determination of SBS Content Based on the Principle of Orthogonal Testing” LINK




Process Control and NIR Sensors

“Tri-functional SERS nanoplatform with tunable plasmonic property for synergistic antibacterial activity and antibacterial process monitoring” LINK




Environment NIR-Spectroscopy Application

“The costeffectiveness of reflectance spectroscopy for estimating soil organic carbon” LINK

“ESTIMATING SOIL CHEMICAL PROPERTIES BY DIFFUSE REFLECTANCE SPECTROSCOPY: PROMISE VERSUS REALITY” LINK




Agriculture NIR-Spectroscopy Usage

“Milk Fat Measurement” | LINK

“Aquaphotomics for Bio-diagnostics: Advancing Beyond the State of the Art” | LINK

“Artificial Neural Network Applied to Near-Infrared Spectra of Raw Milk for Dairy Cow Feeding Management” LINK

“Mastitis Influence on Milk Composition Measurement in the Spectral Region from 1,100 to 2,400 nm” | LINK

“Milk Fatty Acids Measurement” | LINK

“Mastitis Influence on Protein Measurement in the Spectral Region from 700 to 1,100 nm” | LINK

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

“Remote Sensing : Emulation of Sun-Induced Fluorescence from Radiance Data Recorded by the HyPlant Airborne Imaging Spectrometer” LINK

“Symmetric and asymmetric overgrowth of a Ag shell onto gold nanorods assisted by Pt pre-deposition” LINK




Food & Feed Industry NIR Usage

“Foods : Sensory Attributes of Buckwheat Jelly (Memilmuk) with Mung Bean Starch Added to Improve Texture and Taste” LINK


Spectroscopy and Chemometrics/Machine-Learning News Weekly #50, 2021

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 49, 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 49, 2021 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 49, 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)

“The Role of Lipid Core Burden Index Measured by Near-Infrared Spectroscopy in Predicting Slow TIMI Flow After Coronary Intervention” LINK

“Rapid quality evaluation of Plantaginis Semen by near infrared spectroscopy combined with chemometrics” LINK

“Characterization of sun-injury and prediction of sunscald on ‘Packham’s Triumph’pears using Vis-NIR spectroscopy” LINK

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

“Remote Sensing : A NIRS-Aided Methodology to Elucidate the Nutrition of the Endangered Mountain Gazelle (Gazella gazella) Using Samples of Rumen Contents from Roadkills” LINK

” The concentrations of immunoglobulins in bovine colostrum determined by the gold standard method are genetically correlated with their near-infrared …” LINK

“Detection of Lipids by Near-infrared Spectroscopy in Calcified Coronary Plaques Containing Nodular Calcification: Insights from Multimodality Imaging and …” LINK

“A Novel Method for Rapid Particle Size Analysis of Ibuprofen Using Near-infrared Spectroscopy” | LINK

“Geographical identification of Italian extra virgin olive oil by the combination of near infrared and Raman spectroscopy: A feasibility study” LINK

“Empirical Modelling of Household Oils in UV-Vis-NIR Spectrum through Developed Low-Cost Spectroscopy Setup (LCSS)” LINK

“Synthesis of NIR-II Absorbing Gelatin Stabilized Gold Nanorods and Its Photothermal Therapy Application against Fibroblast Histiocytoma Cells” LINK

“Non-destructive prediction of the hotness of fresh pepper with a single scan using portable near infrared spectroscopy and a variable selection strategy” | capsaicin dihydrocapsaicin food Agricultural Biotechnology hot Spices analysislab LINK

“PRELIMINARY USE OF NEAR-INFRARED SPECTROSCOPY TO ESTIMATE THE BIOCHEMICAL COMPONENTS OF THE MUSCLES OF THE ANTARCTIC MINKE …” LINK

“Foods : Geographic Origin Discrimination of Millet Using Vis-NIR Spectroscopy Combined with Machine Learning Techniques” LINK

“The concentrations of immunoglobulins in bovine colostrum determined by the gold standard method are genetically correlated with their near-infrared prediction” LINK

“Apple chips moisture analysis made easy with near-infrared spectroscopy” LINK

“Nondestructive Analysis of Internal Quality in Pears with a Self-Made Near-Infrared Spectrum Detector Combined with Multivariate Data Processing” LINK

“The performance of surface enhanced Raman scattering and spatial resolution with triangular plate dimer from ultra-ultraviolet to near-infrared range” LINK

“… of coronary atherosclerotic features in response to achieving LDL-C< 55 mg/dl between non-diabetic and diabetic patients: insights from the REASSURE-NIRS …” LINK

“A measurement method in near infrared spectroscopy for reference correction with the homologous optical beams” LINK

“Quantitative Analysis of Multi-optical Length NIR Spectroscopy Based on Quaternion Parallel Feature Extraction Method” LINK

“Detección de medicamentos falsificados por espectroscopia en el infrarrojo cercano (NIR)” LINK

“Adulteration Detection in Goat Dairy Beverage Through NIR Spectroscopy and DD-SIMCA” | LINK




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

“Grana Cheese monitoring by low cost pocket size near infrared sensor” LINK

“Molecular device turns infrared into visible light – A new way to detect infrared light by changing its frequency to that of visible light” LINK

“Can current hyperspectral infrared sounders capture the small scale atmospheric water vapor spatial variations?” LINK

“Distinguishing between different types of multilayered PETbased backsheets of PV modules with nearinfrared spectroscopy” | LINK

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




Hyperspectral Imaging (HSI)

“Classification of pulse flours using near-infrared hyperspectral imaging” LINK

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

“Nondestructive nitrogen content estimation in tomato plant leaves by Vis-NIR hyperspectral imaging and regression data models” LINK

“Rancidity and moisture estimation in shelled almond kernels using NIR hyperspectral imaging and chemometric analysis” LINK

“Detection of different chemical binders in coatings using hyperspectral imaging” | LINK




Spectral Imaging

“In vivo sensing of cutaneous edema: a comparative study of diffuse reflectance, Raman spectroscopy, and multispectral imaging” LINK




Chemometrics and Machine Learning

“Determination of the total viable count of Chinese meat dishes by near‐infrared spectroscopy: A predictive model” LINK

“Exploring the use of Near-infrared spectroscopy as a tool to predict quality attributes in prickly pear (Rosa roxburghii Tratt) with chemometrics variable strategy” LINK

“Determination of the total viable count of Chinese meat dishes by nearinfrared spectroscopy: A predictive model” LINK

“Wavelet-Based Neurovascular Coupling Can Predict Brain Abnormalities In Neonatal Encephalopathy” LINK

“Multivariate analysis of food fraud: A review of NIR based instruments in tandem with chemometrics” | foodfraud analysis instruments LINK

“Top November Stories: Why Machine Learning Engineers are Replacing Data Scientists; 19 Data Science Project Ideas for Beginners” | MachineLearning DataScientists LINK

“Optimizing the quantitative analysis of solid biomass fuel properties using laser induced breakdown spectroscopy (LIBS) coupled with a kernel partial least squares (KPLS) model” LINK

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

“Spectroscopy and imaging technologies coupled with machine learning for the assessment of the microbiological spoilage associated to ready-to-eat leafy vegetables” LINK




Facts

“Fodder development in Sub‐Saharan Africa: An Introduction” LINK

“Applied Sciences : Automatic Asbestos Control Using Deep Learning Based Computer Vision System” LINK




Research on Spectroscopy

“A Methodological Literature Review on Non-Invasive Blood Group Detection” LINK

“Peripheral microcirculatory alterations are associated with the severity of acute respiratory distress syndrome in COVID-19 patients admitted to intermediate …” | LINK




Equipment for Spectroscopy

“Green Synthesis of Ag2S Quantum Dots as Sensing Probe: An Optical Sensor for the Detection of Cholesterol” LINK

“Applied Sciences : Real-Time Quantification of Crude Protein and Neutral Detergent Fibre in Pastures under Montado Ecosystem Using the Portable NIR Spectrometer” LINK




Environment NIR-Spectroscopy Application

“Remote Sensing : Automated Training Data Generation from Spectral Indexes for Mapping Surface Water Extent with Sentinel-2 Satellite Imagery at 10 m and 20 m Resolutions” LINK




Agriculture NIR-Spectroscopy Usage

“Investigation on aging resistance of ternary compound carbon nitride (CN-Bi-Tr-DC) modified asphalt” LINK

“Agriculture : Estimation of Soil Nutrient Content Using Hyperspectral Data” LINK

“Prediction of protein and amino acid composition and digestibility in individual feedstuffs and mixed diets for pigs using near-infrared spectroscopy” LINK

“Applications of computer vision in the field of agriculture” LINK

“Genome-wide association study and population structure analysis of seed-bound amino acids and total protein in watermelon” LINK




Horticulture NIR-Spectroscopy Applications

“Applied Sciences : Studies of the Variability of Sugars, Vitamin C, and Chlorophylls in Differently Fermented Organic Leaves of Willowherb” LINK




Food & Feed Industry NIR Usage

“Foods : Development of High-Protein Vegetable Creams by Using Single-Cell Ingredients from Some Microalgae Species” LINK

“Transfer-learning-based approach for leaf chlorophyll content estimation of winter wheat from hyperspectral data” LINK

“Foods : Two Statistical Tools for Assessing Functionality and Protein Characteristics of Different Fava Bean (Vicia faba L.) Ingredients” LINK




Medicinal Spectroscopy

“A Tissue Section-Based Near-Infrared Spectroscopical Analysis of Salivary Gland Tumors” LINK




Other

“Indium-tin oxide regulated band gap of nitrogen-doped titanium oxide thin films for visible light photocatalyst” | LINK

“Discriminação de espécies manejadas na Amazônia central: um princípio para a rastreabilidade da madeira por meio da espectroscopia no infravermelho próximo” LINK

“How charge trapping affects the conductivity of electrochemically doped poly (3-hexylthiophene) films” LINK

“Dimensionality reduction, regularization, and generalization in overparameterized regressions.” LINK

“PENGARUH DURASI PRESTO DAN PENYIMPANAN TERHADAP KUALITAS KIMIA DAN FISIK CEKER BACEM” LINK

“Additive genetic variation in Pinus radiata bark chemistry and the chemical traits associated with variation in mammalian bark stripping” | LINK

“Structural, optical and dispersion studies on Cu2NiSn (SSe) 4 nanocrystals thin films” LINK

“Linking genetics and chemistry to minimise bark stripping in Pinus radiata” 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



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


Do you have a NIR spectrometer in your Lab?

How many other analytics you do in the Lab could be done faster and cheaper with NIR?

Is this possible and precise enough?

Try, we have the solution for you!
You have the NIR, scan the samples, you have the lab values and the spectra, we calibrate for you!

To see if the application is possible and how precise it can be due to knowledge based intensive model optimizations.

We do the NIR feasibility study with data for you. Fixed prices

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.

Bring the Lab to the sample. To avoid sample transport and get immediate results for decision at the place or in the process.

Just try the NIR application, use the NIR daily, collect data in parallel, we develop, optimize and maintain the calibration models for you.

How do you think?

Start Calibrate


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.

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

Reduce Operating Costs and Total Cost of Ownership (TCO) of NIR-Spectroscopy (NIRS) in the Digitalization Age.
NIR-Spectroscopy (NIRS) - Reduce cost, Increase revenue
Reduce Cost by automated NIR development.
Increase Revenue by higher accuracy NIR results.


CalibrationModel.com (CM) versus Others

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

CM fix € pricing (approx.) 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 #46, 2019

CalibrationModel.com

Use Calibration Model for your customized NIR Applications. Start Optimizing now! | NIRS Spectroscopy QAQC quality LINK

Pro Tip: NIR Calibration is the Key to Accurate NIRS Measurement LINK

Spectroscopy and Chemometrics News Weekly 45, 2019 | NIRS NIR Spectroscopy Chemometrics Spectrometer Spectrometric Analytical Analysis Lab Labs Laboratories Laboratory Sensors QA QC Testing Quality Checking MachineLearning ML Software LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 45, 2019 | NIRS NIR Spektroskopie Spektrometer Sensor Nahinfrarot Analytik Lab Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse laboratoryequipment ML Software LINK

Spettroscopia e Chemiometria Weekly News 45, 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 – NIR-analyzer. Check out their product page … link

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




Chemometrics

“Comparison of Multivariate Regression Models Based on Water- and Carbohydrate-Related Spectral Regions in the Near-Infrared for Aqueous Solutions of Glucose.” LINK

” PREDICTION OF SOIL PCBs CONTENT IN A HISTORICALLY CONTAMINATED SITE OF THE SIN OF TARANTO (SOUTHERN ITALY)” LINK

“Robust Fourier transformed infrared spectroscopy coupled with multivariate methods for detection and quantification of urea adulteration in fresh milk samples” LINK

“Comparative Analysis of Non-Destructive Prediction Model of Soluble Solids Content for Malus micromalus Makino Based on Near-Infrared Spectroscopy” LINK

“Determination of SSC in pears by establishing the multi-cultivar models based on visible-NIR spectroscopy” LINK

“Chemometrics-assisted calibration transfer strategy for determination of three agrochemicals in environmental samples: Solving signal variation and maintaining second-order advantage” LINK

“Semi-Supervised Learning in Multivariate Calibration” LINK

“Assessing heavy metal concentrations in earth-cumulic-orthic-anthrosols soils using Vis-NIR spectroscopy transform coupled with chemometrics.” LINK




Near Infrared

“以近紅外光技術量測葡萄之花青素含量” “Evaluation of Anthocyanin Contents in Grapes Using NIR Spectroscopy” LINK




Infrared

“Improvement of proximate data and calorific value assessment of bamboo through near infrared wood chips acquisition” LINK

“Effect of peeling and point of spectral recording on sucrose determination in sugar beet root using near infrared spectroscopy” sugarbeet LINK




Raman

“Raman Spectral Analysis for Non-invasive Detection of External and Internal Parameters of Fake Eggs” LINK




Hyperspectral

“Investigation into crystal size effect on sodium chloride uptake and water activity of pork meat using hyperspectral imaging” LINK

“Detection of the Chemical Agents Based on Hyperspectral Data Analysis” LINK




Agriculture

“Performance of optimized hyperspectral reflectance indices and partial least squares regression for estimating the chlorophyll fluorescence and grain yield of wheat …” LINK

“Prediction of Soil Nutrient Contents Using Visible and Near-Infrared Reflectance Spectroscopy” LINK

“Detection of viability of soybean seed based on fluorescence hyperspectra and CARS-SVM-AdaBoost model” LINK




Other

“Laser irradiation behavior of plasma-sprayed tantalum oxide coatings” LINK

“On the Way to Efficient Analytical Measurements: The Future of Robot-Based Measurements” LINK

“Identification of Cannabis sativa L. (hemp) Retailers by Means of Multivariate Analysis of Cannabinoids” LINK

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

Spectroscopy and Chemometrics News Weekly #40, 2019

CalibrationModel.com

“Food quality digitized at the “speed of light” ” : Food Sample -> measured with a NIRS spectrometer -> spectral data -> ⚖️ predicted with a NIRPredictor & CalibrationModel -> % quantitative results -> quality decision -> LINK

Spectroscopy and Chemometrics News Weekly 39, 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 39, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 39, 2019 | NIRS NIR Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem predictionmodel HSI LINK




Chemometrics

“Near-infrared spectroscopy to determine residual moisture in freeze-dried products: model generation by statistical design of experiments LINK

“制浆材木质素含量近红外分析模型传递研究” “Study on Near-infrared Calibration Model Transfer for Lignin Content in Pulpwood” LINK

“Prediction of Mineral Composition in Commercial Extruded Dry Dog Food by Near-Infrared Reflectance Spectroscopy” LINK




Near Infrared

“Influence of Particles Size on NIR Spectroscopic Estimations of Charcoal Properties” LINK

“Measurement of refractive index of hemoglobin in the visible/NIR spectral range.” LINK

“Feasibility on using NIR spectroscopy for the measurement of the textural parameters in mango” LINK

“NIR Spectroscopy as a Suitable Tool for the Investigation of the Horticultural Field” LINK

“Handheld Near-Infrared Spectroscopy for Distinction of Extra Virgin Olive Oil from Other Olive Oil Grades Substantiated by Compositional Data” LINK




Infrared

“Short-wave near infrared spectroscopy for the quality control of milk” LINK

“Rapid detection of infrared inactive sodium chloride content in frozen tuna fish for determining commercial value using short wavelengths” LINK




Equipment

Visible/near Infrared Reflection Spectrometer and Electronic Nose Data Fusion as an Accuracy Improvement Method for Portable Total Soluble Solid Content Detection of Orange” LINK




Environment

“Prediction of soil available water-holding capacity from visible near-infrared reflectance spectra.” LINK




Agriculture

“Local anomaly detection and quantitative analysis of contaminants in soybean meal using near infrared imaging: The example of non-protein nitrogen.” LINK

“Challenges and opportunities in clinical translation of biomedical optical spectroscopy and imaging.” LINK

“The potential of CIELAB colour scores to gauge the quality of sorghum as a feed grain for chicken-meat production” LINK




Food & Feed

“Control and Monitoring of Milk Renneting Using FT-NIR Spectroscopy as a Process Analytical Technology Tool” Foods LINK

Food quality digitized at the “speed of light” This shows how using spectroscopy for measuring food quality can become the future for many businesses – With the speed of light LINK

“A Study on the use of Spectroscopic Techniques to Identify Food Adulteration” LINK

“Recent advances in micro-level experimental investigation in food drying technology” LINK




Laboratory

“In situ reaction monitoring using spectroscopy can be very useful in an industrial laboratory, but there are many factors to take into account.” Click Here for Seven Essential Steps for In Situ Reaction Monitoring: 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 #34, 2019

CalibrationModel.com

Develop customized NIR applications and freeing up hours of spectroscopy analysts time. chemometric software LINK

Spectroscopy and Chemometrics News Weekly 33, 2019 | NIRS NIR Spectrometer Analytical Chemistry Chemical Analysis Lab Labs Laboratories QAQC Testing Quality LabManager LabManagers laboratory digitalization labdata laboratorydata LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 33, 2019 | NIRS NIR FTNIR Spektroskopie Chemometrie Spektrometer Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysemethode Laborleiter Laboranalyse Qualitätskontrolle LINK

Spettroscopia e Chemiometria Weekly News 33, 2019 | NIRS NIR Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità prediction controllo qualità LINK




Chemometrics

“A Spectral Fitting Algorithm to Retrieve the Fluorescence Spectrum from Canopy Radiance” Remote Sensing RemoteSensing LINK

“A hyperspectral GA-PLSR model for prediction of pine wilt disease” LINK

“Hyperspectral Anomaly Detection via Convolutional Neural Network and Low Rank With Density-Based Clustering” LINK

“Use of near-infrared hyperspectral (NIR-HS) imaging to visualize and model the maturity of long-ripening hard cheeses” LINK

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

“A practical convolutional neural network model for discriminating Raman spectra of human and animal blood” LINK

“Non-destructive prediction of texture of frozen/thaw raw beef by Raman spectroscopy” LINK

“Incorporating brand variability into classification of edible oils by Raman spectroscopy” LINK

“Three-way data splits (training, test and validation) for model selection and performance estimation” LINK

“Importance of spatial predictor variable selection in machine learning applications — Moving from data reproduction to spatial prediction.” LINK

“Tracing the dune activation of Badain Jaran Desert and Tengger Desert by using near infrared spectroscopy and chemometrics” LINK




Near Infrared

“On-The-Go VIS + SW – NIR Spectroscopy as a Reliable Monitoring Tool for Grape Composition within the Vineyard.” LINK

“Improved Functional Near Infrared Spectroscopy Enables Enhanced Brain Imaging” fNIR FDNIR LINK

“Estabilishing A Calibration For Neutral Detergent Fiber (NDF) Value by Using Near Infrared Spectroscopy (NIR) in Corn Grain” LINK

“Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis.” 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

“Sensomics-from conventional to functional NIR spectroscopy-shining light over the aroma and taste of foods” LINK




Infrared

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

“Identification of antibiotic mycelia residues in cottonseed meal using Fourier transform near-infrared microspectroscopic imaging.” LINK

“Application of near-infrared spectroscopy for frozen-thawed characterization of cuttlefish (Sepia officinalis)” Aquaphotomics LINK

” Identification of Tilletia foetida, Ustilago tritici, and Urocystis tritici Based on Near-Infrared Spectroscopy” LINK

“Assessment of meat freshness and spoilage detection utilizing visible to near-infrared spectroscopy” LINK




Hyperspectral

“Estimating the severity of apple mosaic disease with hyperspectral images” LINK

“Spectral filter design based on in-field hyperspectral imaging and machine learning for mango ripeness estimation” LINK




Equipment

“Feasibility Study of the Use of Handheld NIR Spectrometer for Simultaneous Authentication and Quantification of Quality Parameters in Intact Pineapple Fruits” LINK




Agriculture

“Evidence on the discrimination of quinoa grains with a combination of FT-MIR and FT-NIR spectroscopy” FTNIR FTMIR LINK




Forestry

“Near-infrared spectroscopy analysis-a useful tool to detect apple proliferation diseased trees?”LINK

“Evaluation of near infrared spectroscopy to non-destructively measure growth strain in trees” LINK




Other

“Spectral Screening Based on Comprehensive Similarity and Support Vector Machine” LINK

“Aquaphotomics-From Innovative Knowledge to Integrative Platform in Science and Technology.” LINK





Spectroscopy and Chemometrics News Weekly #33, 2019

CalibrationModel.com

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

Spectroscopy and Chemometrics News Weekly 32, 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 32, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LaborNIR LINK

Spettroscopia e Chemiometria Weekly News 32, 2019 | NIRS NIR Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem prediction NIRmodels LINK

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




Chemometrics

“Predicting the dry matter intake of grazing dairy cows using infrared reflectance spectroscopy analysis.” LINK

“Simultaneous determination of food colorants in liquid samples by UVVisible spectroscopy and multivariate data analysis using a reduced calibration matrix” LINK

“Coupling MicroNIR / Chemometrics for the on-site detection of cannabinoids in hemp flours” LINK

“Calibration and Characterization of Hyperspectral Imaging Systems Used for Natural Scene Imagery” LINK

“Analysis of wood thermal degradation using 2D correlation of near infrared and visible-light spectroscopy” LINK

“Rapid method for the quantification and identification of emerging compounds in wastewater based in nir spectroscopy and chemometrics” LINK

“Predicting the dry matter intake of grazing dairy cows using infrared reflectance spectroscopy analysis” |(19)30642-3/fulltext LINK




Near Infrared

“Application of Artificial Neural Networks (ANN) Coupled with Near-InfraRed (NIR) Spectroscopy for Detection of Adulteration in Honey” LINK

“Statistical Analysis of Amylose and Protein Content in Landrace Rice Germplasm Collected from East Asian Countries Based on Near-Infrared Reflectance Spectroscopy (NIRS)” LINK

“Identification of wheat kernels by fusion of RGB, SWIR, and VNIR samples.” LINK

“Purity analysis of multi-grain rice seeds with non-destructive visible and near-infrared spectroscopy” LINK

“Development of a methodology to analyze leaves from Prunus dulcis varieties using near infrared spectroscopy.” LINK

“Analysis of hydration water around human serum albumin using near-infrared spectroscopy” LINK

“Real-time Biomass Characterization in Energy Conversion Processes using Near Infrared Spectroscopy-A Machine Learning Approach” LINK

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

“Near Infrared Reflectance Spectroscopy to analyze texture related characteristics of sous vide pork loin.” LINK

“Estimation of the Alcoholic Degree in Beers through Near Infrared Spectrometry Using Machine Learning” LINK

“The quantitative detection of botanical impurities contained in seed cotton with near infrared spectroscopy method” LINK




Raman

New post: Raman spectroscopy may make thyroid cancer diagnosis less invasive | Raman spectroscopy thyroid cancer LINK




Optics

“A multi-pixel diffuse correlation spectroscopy system based on a single photon avalanche diode array.” LINK




Agriculture

“The acute influence of sucrose consumption with and without vitamin C co-ingestion on microvascular reactivity in healthy young adults” vitaminC LINK

“Identification and characterization of a fast-neutron-induced mutant with elevated seed protein content in soybean” LINK

“Quantitative analysis and hyperspectral remote sensing of the nitrogen nutrition index in winter wheat” LINK




Food & Feed

“Multidimensional scaling assisted Fourier-transform Infrared spectroscopic analysis of fruit wine samples: Introducing a novel analytical approach” LINK