Spectroscopy and Chemometrics News Weekly #29, 2019

CalibrationModel.com

Spectroscopy and Chemometrics News Weekly 28, 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 28, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Qualitätslabor LINK

Spettroscopia e Chemiometria Weekly News 28, 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 YourCompanyNameHere – BestNIRinstruments. Check out their product page … link




Chemometrics

Distinguishing donor age groups via Raman spectroscopic analysis of whole blood & chemometrics! research by Kyle C. Doty & Igor K. Lednev : | LINK

“Variable selection by double competitive adaptive reweighted sampling for calibration transfer of near infrared spectra” LINK

“Intuitive Visualization of Outlier Detection Methods” LINK

“Comparison of three different classification methods performance for the determination of biofuel quality by means of NIR spectroscopy” LINK

” Predicting the quality of ryegrass using hyperspectral imaging” LINK

“A Clustering-Based Partial Least Squares Method for Improving the Freshness Prediction Model of Crucian Carps Fillets by Hyperspectral Image Technology” LINK

” Hyperspectral Uncertainty Quantification by Optimization” LINK




Near Infrared

“Hardwood Species Classification with Hyperspectral Microscopic Images” LINK

” Vibrational Spectroscopy and Chemometrics in Forensic Chemistry: Critical Review, Current Trends and Challenges” LINK

“Combining Fourier Transform MidInfrared Spectroscopy with Chemometric Methods to Detect Adulterations in Milk Powder.” LINK

“Comparison of Cation Exchange Capacity Estimated from Vis-NIR Spectral Reflectance Data and a Pedotransfer Function” LINK



“Modeling of Fatty Acid Methyl Esters, Monoglycerides, Triglycerides and Diglycerides in Rapeseed Oil Biodiesel by Near Infrared Spectroscopy” LINK

“Predicting the contents of polysaccharides and its monosugars in Dendrobium huoshanense by partial least squares regression model using attenuated total reflectance Fourier transform infrared spectroscopy” LINK

“Fast determination of oxides content in cement raw meal using NIR spectroscopy with SPXY algorithm” LINK

“Application of near infrared spectroscopy and chemometrics for the analysis of nutraceuticals in South Africa” LINK


Infrared

“Determination of total sugar content in Siraitia grosvenorii by near infrared diffuse reflectance spectroscopy with wavelength selection techniques” LINK

“How to Measure Coating Thickness of Tablets: Method Comparison of Optical Coherence Tomography, Near-infrared Spectroscopy and Weight-, Height- and Diameter Gain.” LINK




Hyperspectral

“Spectral difference analysis and identification of different maturity blueberry fruit based on hyperspectral imaging using spectral index” LINK




Optics

Focus on photonics, spectroscopy, and spectrometry LINK




Equipment

“Sensors, Vol. 19, Pages 2995: Effect of the Architecture of Fiber-Optic Probes Designed for Soluble Solid Content Prediction in Intact Sugar Beet Slices” LINK

“Miniaturized analytical platform for cocaine detection in oral fluids by MicroNIR/Chemometrics.” LINK

“Handheld near-infrared spectrometer for on-line monitoring of biodiesel production in a continuous process” LINK




Environment

“Optimized Multivariate Analysis for the Discrimination of Cucumber Green Mosaic Mottle Virus-Infected Watermelon Seeds Based on Spectral Imaging” LINK




Agriculture

“Non-destructive screening method for detecting the presence of insects in sorghum grains using near infrared spectroscopy and discriminant analysis” LINK

” NIR hyperspectral imaging with multivariate analysis for measurement of oil and protein” LINK




Pharma

“Development and Validation of In-line Near-Infrared Spectroscopy Based Analytical Method for Commercial Production of a Botanical Drug Product” LINK

In-line monitoring of powder blend homogeneity in continuous drug manufacture using near infrared spectroscopy (with PDF) pharmaceutical binder excipients LINK




Laboratory

“The essential role of omni-capable research laboratories in advancing analytical spectroscopy” LINK




Other

“How to Build Disruptive DataScience Teams: 10 Best Practices” LINK





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NIR-Predictor

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Key Features of NIR-Predictor

  • Super flexible prediction with automatic file format detection
  • Support for many mobile and desktop NIR Spectrometers file format
  • Application concept allows to group multiple Calibrations together for an Application
  • Prediction Report shows Histogram Charts of the tabulated prediction results
  • Sample based Properties File Creator for combining NIR and Lab reference data
  • Checked creation of a single file Calibration Request

Super flexible prediction

Loads multiple files at once in

  • different file-formats and …
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Videos


Properties File Creator

A tool for the NIR-User to create the property file easily. It helps to create a CSV file from the measured spectra files with sample names and properties to edit in Spreadsheet/EXCEL software. Lets you enter Lab-Reference-Values in a sample-based manner, corresponding to your sample spectra for calibration. It contains clever automatic analysis mechanisms of inconsistencies in your raw-data to increase the data quality for calibration. Provides detailed analyzer information for manual data cleanup when needed.

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    • limited and error prone table grid functionality

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About the included Demo-Spectra and Demo-Calibrations

The demo calibrations for the spectrometers from

  • Si-Ware Systems
  • Spectral Engines
  • Texas Instruments
  • VIAVI

are built with the raw data, thankfully provided from Prof. Heinz W Siesler, from this publication

“Hand-held near-infrared spectrometers:
State-of-the-art instrumentation and practical applications”
Hui Yan, Heinz W Siesler
First Published August 20, 2018 Research Article
https://doi.org/10.1177/0960336018796391

The demo calibrations for the FOSS are built with the

ANSIG Kaji Competition 2014 shootout data
http://www.anisg.com.au/the-kaji-competition


References

Quickstart: NIR-Predictor – Manual

Features and Version History: NIR-Predictor – Release Notes History

Supported NIR Spectra Formats: NIR-Predictor supported Spectral Data File Formats

Frequently Asked Questions: NIR-Predictor – FAQ

WebShop : CalibrationModel WebShop