Spectroscopy and Chemometrics News Weekly #21-24, 2017

Chemometrics

DD-SIMCA A MATLAB GUI tool for data driven SIMCA approach LINK

Fourier transform infrared spectroscopy coupled with chemometrics for determining geographical origin of kudzu root LINK

Chemical Variability & Calibration Algorithms on Prediction of Solid Fraction of Compacted Ribbons Using NIR LINK

Calibration transfer of flour NIR spectra between benchtop and portable instruments LINK

Rapid Prediction of Moisture Content in Intact Green Coffee Beans Using Near Infrared Spectroscopy LINK


Calibration transfer of flour NIR spectra between benchtop and portable instruments LINK

Simultaneous Quantification of Paracetamol and Caffeine in Powder Blends for Tableting by NIR-Chemometry LINK


Model evaluation, model selection, and algorithm selection in machine learning. MachineLearning LINK

Development & Validation of a New Near-Infrared Sensor to Measure Polyethylene Glycol (PEG) Concentration in Water LINK



Near Infrared

In-situ & real-time monitoring of ultrasonic-assisted enzymatic hydrolysis process of corn gluten meal by NIRS LINK

Near-Infrared Spectroscopic Evaluation of Water Content of Molded Polylactide under the Effect of Crystallization LINK


Repetition Suppression in Aging: A Near-Infrared Spectroscopy Study on the Size-Congruity Effect LINK

Broadband Light Source and Its Application to Near-Infrared Spectroscopy | sensor via LINK

Industrial applications using NIR chemical imaging LINK

Analysis of oilseeds for protein, oil, fiber and moisture by near-infrared reflectance spectroscopy LINK

Global Near Infrared Spectroscopy Market to Grow at a CAGR of Over 9% Through 2021, Reports Technavio -Business Wire LINK

Optical Sensors Advancing Precision in Agricultural Production – near-infrared spectroscopy (NIRS) LINK


“Could NIRS be useful to digital agriculture?”, high quality keynote by Veronique Bellon-Maurel from & … LINK!

Near Infrared (NIR) Spectroscopy for plant health monitoring! electronics engineering optics LINK



Raman

Raman Spectroscopy of Blood and Blood Components LINK



Hyperspectral

Short Wave Infrared and its use in Hyperspectral Imaging – SWIR HSI LINK



Equipment

Make or buy your spectrometer – OEM Spectrometer LINK



Laboratory

Video: How near-infra red technology measures grass quality … LINK



Agriculture

Leveraging IoT to Improve Data Collection for Agriculture LINK



Food & Feed

‘Infrared spectrometers: NIR and MIR compared’ from the course ‘Identifying FoodFraud’. LINK



Other

“Spectroscopy for the Masses” | Spectroscopy via LINK

Online Partial Least Square Optimization: Dropping Convexity for Better Efficiency. LINK



Spectroscopy and Chemometrics News Weekly #19+20, 2017


CalibrationModel.com

Spectroscopy and Chemometrics News Weekly 17-18, 2017 | Molecular Spectroscopy NIRS Chemometrics Software Raman LINK


Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 17-18, 2017 | NIRS Spektroskopie Chemometrie pharma space LINK


Spettroscopia e Chemiometria Weekly News 17-18, 2017 | NIRS Spettroscopia Chemiometria predizione spettrometro LINK



Chemometrics

Making sense of principal component analysis, eigenvectors & eigenvalues | eigenvector eigenvalue LINK


“Tutorial: Items to be included in a report on a near infrared spectroscopy project” | reporting validation LINK


“Chemometric aided NIR portable instrument for rapid assessment of medicine quality.” LINK



Near Infrared

The potential of near infrared spectroscopy (NIRS) to measure the chemical composition of aquaculture solid waste LINK



Equipment

Miniature Spatial Heterodyne Raman Spectrometer with a Cell Phone Camera Detector LINK



Laboratory

Shortwave Infrared Imaging Spectroscopy for Analysis of Ancient Paintings LINK



Spectroscopy

ICAVS 2017: 9th International Conference on Advanced Vibrational Spectroscopy June 11–16, 2017, Victoria, BC, Canada LINK




Spectroscopy and Chemometrics News Weekly #7-9, 2017

Near Infrared

Researchers using Near-Infrared Spectroscopy determine the age of cannabis at time of harvest via LINK

Panasonic’s new organic sensor can switch between visible and NIR sensitivity NIRS LINK

“Global Process Spectroscopy Market $1.47bn by 2024 – TechAnnouncer” NIRS Raman LINK



Equipment

“Fabry Perot Detectors Pyroelectric Detectors with Spectrometer Functionality” LINK

“How to choose the right spectrometer?” LINK



Chemometrics

Predicting the ethanol potential of wheat straw using near-infrared spectroscopy and chemometrics LINK



Process Control

CEM for all stages of the process control of dairy products | dairyproducts processcontrol pcontrol LINK

NIR spectroscopy for monitoring of industrial manufacturing processes | pcontrol LINK



Environment

Drones go hyper spectral to expose Ningaloo Reef in new detail gis remotesensing LINK

“Opinion: Soil Testing Needs Sensors To Get More Accurate” LINK



Other

Molecular Spectroscopy Market Globally Expected to Drive Growth through 2025 LINK

“Chemical Gas Sensors on the Rise.” MEMS sensor LINK

Seeing Theory – Basic Probability Compound Probability Distributions Statistical Inference Regression LINK



Procedures for NIR calibration – Creation of NIRS spectroscopy calibration curves

Do you know the effect that you prefer to try out their favorite data pretreatments in combination and often try the same wavelength selections based spectra of the visualized?

You try as six to ten combinations until one of them selects his favorite calibration model, to then continue to optimize. Since then suddenly fall to outliers, because it goes in depth, so is familiar with the data, we know now the spectra of numbers of outliers and is familiar with the extreme values.

Now, the focus is on the major components (principal components, Latent Variables, factors) and makes sure not to over-fit and under-fit not to. The whole takes a few hours and finally one is content with the model found.

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From this great number of calculated models with the statistical quality reviews (prediction performance) the optimum calibration can now be selected. For this purpose, not simply sorting by the prediction error (prediction error, SEP RMSEP) or the coefficient of determination (coefficient of determination r2), but by several statistical and test values are used jointly toward the final assessment of optimal calibration.

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Your privacy is very important to us. The NIR data that you briefly provide us for the custom calibration development will remain of course your property. Your NIR data will be deleted after the job with us.

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