Spectroscopy and Chemometrics News Weekly #31-37, 2017

Near Infrared

Rancidity Estimation of Perilla Seed Oil by Using Near-Infrared Spectroscopy & Multivariate Analysis Techniques LINK

Near Infrared Reflectance Spectroscopy to Analyze Meat in Live Animals LINK

“Near-infrared Spectroscopy (NIRS) Equipment Market Analysis with Inputs from Industry Experts 2017 to 2022″ LINK

NIRS Process Monitoring Methodology for Pharmaceutical Continuous Manufacturing using a Offline Calibration Approach LINK

Near infrared system coupled chemometric algorithms for enumeration of total fungi count in cocoa beans | NIRS LINK

Prediction of Cortisol & Progesterone Concentrations in Cow Hair Using Near-Infrared Reflectance Spectroscopy NIRS LINK

“Near-infrared Spectroscopy (NIRS) Equipment Market is Expected to Grow 12 % CAGR till 2022″ LINK

Determination of Spatially Resolved Tablet Density and Hardness Using Near-Infrared Chemical Imaging (NIR-CI) LINK

Prediction of Lignin Content in Different Parts of Sugarcane Using Near-Infrared Spectroscopy (NIR), … LINK



Chemometrics

Evolution of Machine Learning – Infographics MachineLearning AI LINK

Quantification of the contents in biojet fuel blends using near infrared spectroscopy and multivariate calibration LINK

“Calibration model to predict nitrogen content in single seeds of cowpea using NIRS” LINK

Classification of Ciprofloxacin Tablets Using Near-Infrared Spectroscopy and Chemometric Modeling | NIRS LINK



Equipment

Updated : NIR-Spectrometer vendor overview list NIRS Spectrometer Spectroscopy Sensors Spektrometer LINK

PerkinElmer Launches Spectrum Two™ N FT-NIR System | NIRS FTNIR spectrometer LINK



Hyperspectral

Discrimination of Transgenic Maize Kernel Using NIR Hyperspectral Imaging and Multivariate DataAnalysis | HSI LINK



Process Control

Development of NIR-Spectroscopy-based Process Monitoring Methodology for Pharmaceutical Continuous Manufacturing … LINK




Food & Feed

Application of Visible/Near-Infrared Spectroscopy in the Prediction of Azodicarbonamide in Wheat Flour LINK



Agriculture

Nondestructive Technique for Determining the Viability of Soybean (Glycine max) Seeds Using FT-NIR Spectroscopy. LINK



Research

Android Tricorder: Google übernimmt Startup, das Körperwerte mit dem Smartphone messen kann LINK



Laboratory

Some of our favorite postcards from our journeys at Saturn, now available in a free, downloadable e-book: LINK!



Other

Spectroscopic ‘science camera’ system for smartphones LINK
Using Deep Neural Networks to Automate Large Scale Statistical Analysis for Big Data Applications. LINK



Facts

Echo Geoff’s sentiment no tool is eternal, even backprop or deeplearning. V. important to continue basic research. https://t.… LINK!



Chemometrics and Spectroscopy News Weekly #25, 2014

Chemometrics and Spectroscopy News Weekly #25, 2014

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Chemometrie und Spektroskopie Neuigkeiten Wöchentlich #25, 2014

Holen Sie sich die Chemometrie und Spektroskopie Nachrichten in Echtzeit auf Twitter @ CalibModel

Chemometrics

Comparative study between univariate spectrophotometry & multivariate calibration as analyt. LINK Pre-processing in vibrational spectroscopy – when, why and how |!divAbstract LINK A chemometrics toolbox based on projections and latent variables LINK Projection methods for separation of predicting & non‐predicting information in PLSR & PCR LINK Cross-study validation for the assessment of prediction algorithms LINK

Near Infrared

How to Get the Most Out of Drone Images | NDVI equation NIR-VIS LINK NIR spectroscopy could find fake Chinese liquor | beverages counterfeit adulterated LINK Collaboration produces hyperspectral multi-sensor aircraft | VNIR NIR SWIR LINK

Terahertz

New quantum mechanism to trigger the emission of tunable light at terahertz frequencies LINK

Hyperspectral

An overview on principle, techniques and application of hyperspectral imaging … | HSI LINK

Environment

Satellite Images May Soon Show Objects Smaller Than 50cm In Size LINK

CalibrationModel.com

Development & Optimization of analytical methods for NIR spectroscopy to accurate prediction LINK WHITEPAPER: A Novel knowledge-based Chemometric Software for quantitative NIR Calibration Modeling | NIRS LINK How to Develop Near-Infrared Spectroscopy Calibrations today? | Application Process Chemist NIR Engineer Lab NIR LINK Quantitative Analytical NIR Method Development for Quality Control Laboratory & Analytical Laboratories | pauto QAQC LINK Increase Your Profit with optimized NIRS Accuracy Food Feed FoodSafety ag Lab QC QA PAT QbD Pharma LINK Improve Accuracy of fast Nondestructive NIR Measurements by Optimal Calibration | Food Feed FoodSafety ag Lab LINK How to improve your NearInfrared analysis – Get the White-Paper | NIRS nearIR PAT QbD pauto control measure LINK Lange Wartezeiten bei der Optimierung von NIR Applikationen? So geht es besser | pharma food feed LINK Service für Professionelle Entwicklung von NIR-Kalibrierungen | NIRS Near-Infrared-Spectroscopy LINK

What is a NIR calibration used for?

NIR calibrations are used for NIR contents analysis as a productive analytical method. That is a two step procedure.
  1. A NIR analyzer does a non-destructive optical scan of a sample that yields a measured spectrum in seconds.
  2. A NIR calibration model can quantitatively predict (analyze, determine, estimate) multiple constituents, ingredients, contents, analytes, assay, API and other parameters and attributes (chemical, physical, biological, biochemical, sensory) summarized as properties, out of a single spectrum in milli seconds.
The NIR analysis is a very fast non-destructive analysis method that can replace or backup slower methods like wet chemical analysis, chemistry laboratory, sensory panels or rheology (viscosity). Or a NIR calibration can open the door to new possibilities of analytics, quality assurance and process control, by developing calibration models for parameters that seems to be impossible, because they are based on human knowledge, empirical values or sensory like taste value. If you have an NIR instrument, you can measure your samples systematically and thus develop your own calibration models.