Spectroscopy and Chemometrics News Weekly #52, 2020

NIR Calibration-Model Services

“Predictive Modeling for spectroscopic data via Machine Learning and AI. NIR-Spectroscopy chemometric calibration prediction models as an AI service.” NIRS Spectroscopy LINK

Spectroscopy and Chemometrics News Weekly 51, 2020 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK

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




Near-Infrared Spectroscopy (NIRS)

“The influence of training sample size on the accuracy of deep learning models for the prediction of soil properties with near-infrared spectroscopy data” LINK

“NIR Imaging” LINK

“Non-invasive monitoring of chronic liver disease via near-infrared and shortwave-infrared imaging of endogenous lipofuscin.” LINK

“Objective measurement of tinnitus using functional near-infrared spectroscopy and machinelearning” LINK

“Multi‐manifold NIRS modelling via stacked contractive auto‐encoders” LINK

“Identificação de adulterações no carvão ativado de osso utilizado na desfluoretação de águas subterrâneas por NIRS-PLS-DA” LINK

“Bio-applications of NIR Spectroscopy” LINK

“Principles and Characteristics of NIR Spectroscopy” LINK

“Spectral Analysis in the NIR Spectroscopy” LINK

“NIR Optics and Measurement Methods” LINK

“New Trend in Instrumentation of NIR Spectroscopy—Miniaturization” LINK

“Exploring the potential of NIRS technology for the in situ prediction of amygdalin content and classification by bitterness of in-shell and shelled intact almonds” LINK

“Overview of Application of NIR Spectroscopy to Physical Chemistry” LINK

“Study on Pattern Recognition Method Using ‘Dynamic’ NIR Spectroscopy with Deep Learning based Image Identification and Transfer Learning” LINK

“Rapid Identification of Shiitake Geographical Origins Based on Near Infrared Spectroscopy” LINK

“Prediction of olive ripening degree combining image analysis and FT-NIR spectroscopy for virgin olive oil optimisation” LINK




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

“An infrared spectroscopic approach to characterise white powders, easily applicable in the context of drug checking, drug prevention and on site analysis” DrugTesting and Analysis LINK

“Hardware of Near-Infrared Spectroscopy” LINK




Hyperspectral Imaging (HSI)

“Exploring Appropriate Preprocessing Techniques for Hyperspectral Soil Organic Matter Content Estimation in Black Soil Area” Remote Sensing LINK




Chemometrics and Machine Learning

“Determination of the Most Effective Wavelengths for Prediction of Fuji Apple Starch and Total Soluble Solids Properties” LINK

“Profiling of cured residue of solvent‐based adhesives by attenuated total reflectance–Fourier transform infrared spectroscopy with chemometrics for forensic investigation” LINK

“Theoretical Models of Light Scattering and Absorption” LINK

“Two-Dimensional Correlation Spectroscopy” LINK




Facts

“Introduction to Quantum Vibrational Spectroscopy” LINK




Research on Spectroscopy

“Method Development” LINK




Process Control and NIR Sensors

“Inline and Online Process Analytical Technology with an Outlook for the Petrochemical Industry” LINK




Environment NIR-Spectroscopy Application

“Wooden Material and Environmental Sciences” LINK




Agriculture NIR-Spectroscopy Usage

“Developing a p-NDVI Map for Highland Kimchi Cabbage Using Spectral Information from UAVs and a Field Spectral Radiometer” Agronomy LINK

“Information and Communication Technology in Agriculture” LINK

“Application of NIR in Agriculture” LINK




Horticulture NIR-Spectroscopy Applications

“Early metabolic priming under differing carbon sufficiency conditions influences peach fruit quality development.” LINK




Food & Feed Industry NIR Usage

“Prediction of amylose content, protein content, breakdown and setback viscosity of Kadus rice and its flour by nearinfrared spectroscopy (NIRS) analysis” LINK

“Applications: Food Science” LINK




Other

“Time-of-Flight Spectroscopy” LINK




Spectroscopy and Chemometrics News Weekly #47, 2020

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 46, 2020 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry foodindustry Analysis Lab Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK

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




Near-Infrared Spectroscopy (NIRS)

“Near infrared absorption spectroscopy for the quantification of unsulfated alcohol in sodium lauryl ether sulfate” LINK

“Estimation of Organic Carbon in Anthropogenic Soil by VIS-NIR Spectroscopy: Effect of Variable Selection” LINK

“Near infrared spectroscopy (NIRS) based high-throughput online assay for key cell wall features that determine sugarcane bagasse digestibility” |) LINK

“Authentication of barley-finished beef using visible and near infrared spectroscopy (Vis-NIRS) and different discrimination approaches” LINK

“Energetic Distribution of States in Irradiated Low-Density Polyethylene from UV-Vis-NIR Spectroscopy” LINK

“Determination of in-situ salinized soil moisture content from visible-near infrared (VIS–NIR) spectroscopy by fractional order derivative and spectral variable selection …” LINK

The smallest near-infrared LED (NIRED) for spectroscopy applications available in the market — Now in stock. OSRAM Opto Semiconductors SFH 4737 IR Broadband Emitter: LINK

“Performance of near-infrared (NIR) spectroscopy in pork shoulder as a predictor for pork belly softness” LINK

“Improved generalization of spectral models associated with Vis-NIR spectroscopy for determining the moisture content of different tea leaves” LINK




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

“Non-destructive determination of bovine milk progesterone concentration during milking using near-infrared spectroscopy” LINK

“Near infrared hyperspectral imaging as a tool for quantifying atmospheric carbonaceous aerosol” LINK

“Partial least square regression versus domain invariant partial least square regression with application to near-infrared spectroscopy of fresh fruit” LINK

“The recent advances of near-infrared spectroscopy in dairy production—a review” LINK

“Fiber Optic Reflection SpectroscopyNear-Infrared Characterization Study of Dry Pigments for Pictorial Retouching” LINK

“Process Analytical Technology for Protein PEGylation using Near Infrared Spectroscopy: G-CSF as a Case Study” LINK

“Determination of gel time of prepreg in copper clad laminate industry by near infrared spectroscopy” LINK

“Use of near infrared hyperspectral imaging as a nondestructive method of determining and classifying shelf life of cakes” LINK

“Detection of Lipid Oxidation in Infant Formulas: Application of Infrared Spectroscopy to Complex Food Systems” LINK

“Authentication of Antibiotics Using Portable Near-Infrared Spectroscopy and Multivariate Data Analysis” LINK

“Modular microreactor with integrated reflection element for online reaction monitoring using infrared spectroscopy” LabOnAChip LINK

“Application of Infrared Spectroscopy in Prediction of Asphalt Aging Time History and Fatigue Life” Coatings LINK




Chemometrics and Machine Learning

“Development of Spectral Disease Indices for Southern Corn Rust Detection and Severity Classification ” LINK

“Comparison of partial least squares-discriminant analysis, support vector machines and deep neural networks for spectrometric classification of seed vigour in a broad range of tree species” LINK

“Near-infrared spectroscopy for the prediction of rare earth elements in soils from the largest uranium-phosphate deposit in Brazil using PLS, iPLS, and iSPA-PLS …” LINK

“Vitamin B2 concentration in cow milk: Quantification by a new UHPLC method and prediction by visible and near-infrared spectral analysis” LINK




Equipment for Spectroscopy

“Evaluation of a handheld ultra-compact NIR spectrometer for rapid and non-destructive determination of apple fruit quality” LINK




Agriculture NIR-Spectroscopy Usage

“Rapid Determination of Nutrient Concentrations in Hass Avocado Fruit by Vis/NIR Hyperspectral Imaging of Flesh or Skin” LINK

“Multivariate Analysis of Spectroscopic Data for Agriculture Applications” LINK




Horticulture NIR-Spectroscopy Applications

“Sequential fusion of information from two portable spectrometers for improved prediction of moisture and soluble solids content in pear fruit” LINK

“Application of Vis/NIR spectroscopy for the estimation of soluble solids, dry matter and flesh firmness in stone fruits” LINK

“Application of Near Infra‐Red Spectroscopy as an instantaneous and simultaneous prediction tool for anthocyanins and sugar in whole fresh raspberry” LINK




Food & Feed Industry NIR Usage

“Rapid and Nondestructive Determination of Egg Freshness Category and Marked Date of Lay using Spectral Fingerprint” LINK




Pharma Industry NIR Usage

“Aspen Technology acquires Camo Analytics” PAT LINK

“Non-destructive and rapid detection of the internal chemical composition of granules samples by spectral transfer” LINK




Laboratory and NIR-Spectroscopy

“The Laboratory at Hand: Plastic Sorting Made Easy: A next‐generation mobile near‐infrared spectroscopy solution” LINK




Other

““动态” 近红外光谱结合深度学习图像识别和迁移学习的模式识别方法研究” LINK

“基于近红外光谱分析技术的栽培香菇产地快速鉴别” LINK





NIR-Predictor – Frequently Asked Questions (FAQ)


NIR-Predictor – FAQ

Please also refer to the NIR-Predictor – Manual and check the Hints and Notes.


How to Configure / Load / Import / Activate / Setup / Use the Calibrations (*.cm) in NIR-Predictor?

Chapter “Configure the Calibrations for prediction usage” – NIR-Predictor – Manual


Do you have a calibration file for XY ?

We create custom calibrations out of your NIR + Lab measurements of XY.
We do not sell off-the-shelf calibrations.


I have downloaded the software but can’t see it?

Please note, that the download time will be very short, because of the small file size.
Check your browser’s download folder. The download is the file “NIR-PredictorVx.y.zip”


Why a .zip and no installer (Setup.exe) ?

Because a .zip deploy keeps it simple for all:

  • easy : no Administrator rights needed to install, delete it to uninstall
  • harmless : no system changes during setup
  • transparency : you see what you get

Is there a command line (CLI) version of NIR-Predictor ?

If you want to customize it in all details, our OEM API for NIR-instrument-software (White-Label) integration gives you full access. If you are an NIR-Vendor (or similar) please contact us via email info@CalibrationModel.com


The free NIR-Predictor does not create a model, what is wrong ?

As the name says, the NIR-Predictor just predicts NIR data with a model. To create a model you need to send your data to the CalibrationModel service, after development process you get an email with a link to the calibration where it can be purchased and downloaded.


Why does the creation of the PropertyFile.txt take so long with hundrets of spectra files?

It normally takes only 1-10 seconds not minutes.
Make sure that the spectra data files are stored locally on your main drive
and not on a cloud-drive or network storage or slow USB thumb drive or SD-Card.


Is there a way to use converted ASCII spectrum data to be used in NIR-Predictor?

Yes, this is the simplest ASCII CSV file format the NIR-Predictor supports.
And there are other formats supported.


Can you convert old calibration data from vendor A to be integrated to our new vendor B NIRS calibration data in our instrument?

No, we don’t do model or spectra conversion / transformation (aka model transfer).
We build optimized models with wavelength compatible data.


Does NIR-Predictor contain any malware, spyware or adware?

No, NIR-Predictor does not contain any malware, spyware or adware.


How to copy the prediction results from the table in the browser?

Copy selected columns from the table.
By holding down the Ctrl key, rectangular areas in the table can be selected with the mouse and copied to the clipboard with Ctrl+C and then copied to a spreadsheet program with Ctrl+V.


Will an expired calibration still work?

No. Until you extend the usage time.
The expired calibration file will be moved to the CalibrationExpired folder on the next start of NIR-Predictor or “Search and load Calibrations” menu function.

Selected Calibration files from the folder CalibrationExpired can be send to info@CalibrationModel.com with your Request file (.req) files for extending their usage time.

There is the possibility to get a perpetual usage, which means their is no expiration (valid until 2050).

That way you can get the time extended calibration back, that behaves exactly as the one before with extended usage time.


What does the calibration Expiration date mean exactly on the Prediction Report?

The Expiration date, it is the final day when the calibration will be valid (similar to credit cards).


What does the (number) in brackets after the [range] mean?

During the creation of a Calibration Request the NIR-Predictor shows a message containing
” ‘Prop1’ / “Quantitative [1.40 – 2.90] (154) ”
here 154 is the number of unique values in the property range.


How long does it take to create of the property file and calibration request file from 500 spectra files?

Use a local folder on your computer (not a network drive) for your spectra files then the property file and the calibration request file is created in around 1-3 seconds. (measured on a system with SSD drive, Intel i7, 2.4 GHz)


I tried to create the calibration request and got the error message: The number of Property Values of all spectra are different?

Use the generated PropertiesBySpectra (Note: Spectra not Sample) template file.
Do not reformat the generated template file, just fill in the Property values and save as Text CSV (*.csv) file (not as Excel file “.xlsx”).


Are you able to create the calibration if we only have 20 spectra?

To create a reliable quantitative calibration you need measured spectra of at least 48..60 (more is better) different samples with different Lab-values in the required measuring range!
The NIR-Predictor will check for that automatically.


Same sample measured multiple times (replicate measurements), how to enter the Lab-value only once in Property file?

Use the created PropertiesBySample template (not the PropertiesBySpectra).


Different samples with exact the same Lab-value, how to enter the Lab-Values?

Entering the Lab-values into the generated PropertiesBySpectra template the NIR-Predictor detects them as the same Sample and as a result we have too less different values to build a calibration. But in my case these are different samples with exact the same Lab-value, how to do?

You have to cheat a little bit to make NIR-Predictor do not detect same sample as measured multiple times. This is because most NIR users do replicate measurements on the same sample and NIR-Predictor looks for that. In PropertiesBySpectra modify the values a little bit to make them different, e.g.
0.18
0.18001
0.18002


Is the free NIR-Predictor software you provide for anyone to download and use?

Yes, if downloaded directly from our homepage by the user.
See also Software License Agreement


What is an Outlier?

The spectrum is an outlier to the model, if the spectrum is not similar with the spectra and lab-values the model is built with.

The default setting in NIR-Predictor Menu > “Report with Simplified Outlier Symbols”
is ON, that will show only the worst case instead of all combinations to have a simplified minimal information.
if OFF, that will show the combinations (e.g. “XO=” or “XO” or “O=” or “X=”), which is more informative for analyzing problem cases.
See also manual chapter Outliers.


If something is wrong, please tell us

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





NIR-Predictor supported Spectral Data File Formats

It’s easy to use with NIR-Predictor,
just drag & drop your data for prediction results,
you don’t need to specify the instrument type and settings!
You don’t need a chemometrics software!
You don’t need to write code for using machine learning!

Start Calibrate


See the features NIR-Predictor – Release Notes History


Mobile NIR and Desktop NIR

The NIR Calibration Service and free NIR prediction Software is available for the following NIR analysers.
Download the free NIR-Predictor Software, with sample spectrum files and demo calibration models included, to create reported analysis results.
And let us help you, to develop your individual customized optimal robust predictions models!

NIR-Predictor as a Third Party Application Software supports spectral data file Formats vs. Vendor : Software : NIR Instrument.

CSV, TXT = Simple Spectra File Format for NIR-Predictor

JCAMP-DX = Joint Committee on Atomic and Molecular Physical data-Data eXchange

JCAMP-DX  = Joint Committee on Atomic and Molecular Physical data-Data eXchange
|JSON     = JavaScript Object Notation   
||CSV,TXT = Comma Separated Value, Text File
|||Vendor = Vendor Specific
||||SPC   = Thermo-Scientific / Galactic GRAMS .SPC spectra file format
|||||
----------= Custom Data =-------------------------------------------------------------------------------------------------------
X-X-X   Custom Data : Simple Spectral File Format or JCAMP-DX or SPC
----------= Mobile NIR Spectroscopy Analyzer / Mobile Spektroskopie =-----------------------------------------------------------
X-X--   Allied Scientific  : NIRscan Nano Gui  : NIRVascan         
--X--   ams                :                   : Smart Spectral Sensor, Moonlight Multispectral, Spectral Triad
X---X   AVANTES            : AvaSoft           : AvaSpec, AvaSpec-Mini
X-X-X   HAMAMATSU          :                   : FTIR engine C15511
X-X--   InnoSpectra        : ISC NIRScan Winform GUI : NIR-S-G1 
X-X-X   Ocean Optics       : OceanView, JAZ, SpectraSuite : Flame-NIR, NanoQuest, NIRQuest, Maya2000, USB2000, USB4000, STS-NIR
--X--   PIXELTEQ           :                   : NIR PixelSensor Evaluation Kit
XXX--   SCiO               : SCiO              : SCiO
--X--   Senorics           : Senosoft          : NIR Evaluation Kit
X--X-   Si-Ware Systems    : SpectroMOST       : NeoSpectra Micro, NeoSpectra-Micro Development Kit
X-X--   Spectral Engines   :                   : NIRONE, NR 2.0-W
X--X-   Spectral Evolution : DARWin            : SR-8800, SR-6500, RS-5400, RS-3500, PSR-2500, UDS-1100, PSR-1100f, PSR+
X--X-   StellarNet         : ChemWiz           : DWARF-Star NIR
X-X--   Tellspec           : Tellspec          : Tellspec, see Texas Instruments DLP 
X-X--   Texas Instruments  : NIRscan Nano Gui  : DLP NIRscan Nano EVM, DLPNIRNANOEVM, DLP2010NIR, DLP4500NIR, DLP650LNIR
XX---   trinamiX           :                   : Hertzstück     
X-X-X   VIAVI (JDSU)       : MicroNIR Pro      : MicroNIR OnSite, MicroNIR 1700, MicroNIR 2200, MicroNIR OnSite-W, MicroNIR 1700ES, MicroNIR PAT-Ux, VIAVI MicroNIR PAT-Wx
----------= Desktop/Benchtop NIR Analyzer =------------------------------------------------------------------------------------
X----   BUCHI              : NIRWise, NIRCal   : ProxiMate, NIRFlex, NIRMaster, N500, N400
----X   BRUINS             : Omega-Pro analysis: FoodCheck, InfraScan, InfraCheck                        
X----   BRUKER             : OPUS              : Tango, MPA, Matrix     
X---X   BWTEK              : BWSpec, BWIQ      : i-Spec 25, i-Spec 17/17B/22
X----   FOSS               : FossCalibrator, WinISI : XDS, DS2500, DA1650, N5000, N6500, Infraxact
X---X   GALAXY SCIENTIFIC  : Spectral Sage     : QuasIR 2000, QuasIR 3000, QuasIR 4000
X-X--   METROHM            : Vision Air        : NIRS XDS, NIRS DS2500
X---X   PERTEN             : Simplicity        : DA 7200, DA 7250, DA 7300, DA 7400, DA 7520, Inframatic 9520 
X---X   Polytec            :                   : PSS 1720, PSS 1750, PSS 2120, PSS 2220
X---X   Q-Interline        : Horizon QI        : ABB Bomem FT technology
X---X   tec5               : MultiSpec         : MultiSpec Pro, AgroSpec, 
X---X   Thermo Scientific  : GRAMS PLSplus/IQ, OMNIC : Antaris II, Nicolet iS5N, microPHAZIR RX 
X---X   UNITY Scientific   : UCal              : SpectraStar 2500 2400 2200
X---X   ZEISS              : Aspect Plus       : Corona Extreme, CORONA, AURA, MMS, CGS, MCS FLEX, PGS-NIR
--------------------------------------------------------------------------------------------------------------------------------
X---X   more
--------------------------------------------------------------------------------------------------------------------------------

more

Legend:

  • X supported
Start Calibrate


If something is wrong, please tell us
If you have data to be supported, please send us

Disclaimer: All trademarks belong to their respective owners and are used for information only.

Spectroscopy and Chemometrics News Weekly #18, 2019

CalibrationModel.com

Spectroscopy and Chemometrics News Weekly 17, 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 17, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 17, 2019 | NIRS Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità LINK

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

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




Chemometrics

“Comparison and rapid prediction of lignocellulose and organic elements of a wide variety of rice straw based on near infrared spectroscopy” LINK

“Rapid Determination of Green Tea Origins by Near-Infrared Spectroscopy and Multi-Wavelength Statistical Discriminant Analysis” LINK

“Automated Chinese medicinal plants classification based on machine learning using leaf morpho-colorimetry, fractal dimension and visible/near infrared spectroscopy” LINK

“Monitoring model for predicting maize moisture content at the grain-filling stage using near-infrared spectroscopy and a small sample size” LINK

“Near-infrared-based models for lignin syringyl/guaiacyl ratio of Eucalyptus benthamii and E. pellita using a streamlined thioacidolysis procedure as the reference method” LINK

“Arthroscopic Near-Infrared Spectroscopic Prediction of Human Meniscus Properties” LINK

“变量优选补正算法的鲜枣可溶性固形物检测模型传递方法研究” 变量优选补正算法的鲜枣可溶性固形物检测模型传递方法研究 Model Transfer Method of Fresh Jujube Soluble Solids Detection Using Variables Optimization and Correction Algorithms LINK

New software article published in | No excuse for not using realistic noise when evaluating proposed algorithms anymore! chemometrics machinelearning statistics LINK

“Fine root lignin content is well predictable with near-infrared spectroscopy.” LINK




Near Infrared

“Abundance and composition of kaolinite on Mars: Information from NIR spectra of rocks from acid-alteration environments, Riotinto, SE Spain” LINK

“Distinct Difference in Sensitivity of NIR vs. IR Bands of Melamine to Inter-Molecular Interactions with Impact on Analytical Spectroscopy Explained by Anharmonic Quantum Mechanical Study” LINK

” Association Between Near Infrared Spectroskopy (NIRS) and Normobaric and Hyperbaric Oxygen Treatment in Acute Carbon Monoxide Poisoning” LINK

“Sensors, Vol. 19, Pages 2076: Towards Integrated Mid-Infrared Gas Sensors” LINK

“Detection of Acrylamide in Food Using Near Infrared Spectroscopy” LINK

“Determination of natural rubber and resin content of guayule fresh biomass by near infrared spectroscopy” LINK

“Automated Preprocessing of Near Infrared Spectroscopic Data” LINK

“Evaluation of a low-cost portable near-infrared spectrophotometer for in situ cocaine profiling.” LINK

“Application of a Fourier transformnear infrared reflectance spectroscopy method for the rapid proximate analysis of the greenshell mussel (Perna canaliculus) and king (Chinook) salmon (Oncorhynchus tshawytscha)” LINK

” Assessment of the chemical change in heat treated pine wood by near infrared spectroscopy” LINK

“Characterisation of organic colourants in ukiyo-e prints by Fourier transform near infrared fibre optics reflectance spectroscopy” LINK

” Plastic Solid Waste identification system based on Near Infrared Spectroscopy in combination with support vector machine” LINK

“Development and application of Fourier transform infrared spectroscopy for detection of milk adulteration in practice” FTIR LINK

“Near-Infrared Light Emitting Diode Based Non-Invasive Glucose Detection System.” LINK

“Determination of cellulose, hemicellulose and lignin content using near-infrared spectroscopy in flax fiber” LINK




Raman

“Raman spectroscopic discrimination of normal and cancerous lung tissues.” LINK




Spectral Imaging

“A new low-cost portable multispectral optical device for precise plant status assessment” LINK

“Evaluation of Fire Severity Indices Based on Pre- and Post-Fire Multispectral Imagery Sensed from UAV” Remote Sensing LINK




Equipment

“On site monitoring of Grana Padano cheese production using portable spectrometers” LINK




Agriculture

“Assessing the potential of two customized fiber-optic probes for on-site analysis of bulk feed grains” LINK

“A Cost Effective and Field Deployable System for Soil Macronutrient Analysis Based on Near-Infrared Reflectance Spectroscopy” LINK




Food & Feed

“Freshness Evaluation in Chub Mackerel (Scomber japonicus) Using Near-Infrared Spectroscopy Determination of the Cadaverine Content.” Fish Fisheries FoodSafety FoodProtection LINK




Pharma

“An update on contribution of hot-melt extrusion technology to novel drug delivery in the 21st century: part I” LINK




Other

” Evaluación de dos atributos de calidad críticos en la producción de formas farmacéuticas sólidas utilizando la espectroscopia de infrarrojo cercano” LINK





Spectroscopy and Chemometrics News Weekly #14, 2019

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

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


CalibrationModel.com

Spectroscopy and Chemometrics News Weekly 13, 2019 | NIRS NIR Spectroscopy Chemometrics analysis Spectral Spectrometer Spectrometric Analytical Sensors QC Lab Labs Laboratories Laboratory LabServices Software Testing Quality Checking LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 13, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer Spektral Sensor Nahinfrarot Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse Qualitätslabor LINK

Spettroscopia e Chemiometria Weekly News 13, 2019 | NIRS Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Sensore Attrezzatura analitica Laboratorio analisi prova qualità LINK




Chemometrics

“Fraud detection in hen housing system declared on the eggs’ label: An accuracy method based on UV-VIS-NIR spectroscopy and chemometrics.” LINK

“Use of near infrared reflectance spectroscopy to predict chemical composition of some pastoral species appeased by the dromedaryin southern Tunisia” LINK

“On-line vis-NIR spectroscopy prediction of soil organic carbon using machine learning” LINK

” Kısmi En Küçük Kareler Regresyonu (KEKKR) ve Yapay Sinir Ağı (YSA) Modelleri Kullanarak, Kanopi Kızılötesi Spektroskopisi (KS) ile Kış Buğdayında …” LINK

“Application of invasive weed optimization and least square support vector machine for prediction of beef adulteration with spoiled beef based on visible near-infrared (Vis-NIR) hyperspectral imaging.” LINK

“Comparison of multivariate models and variable selection algorithms for rapid analysis of the chemical composition of field crops” NIRS NIR LINK




Near Infrared

Near-infrared spectroscopy could improve flu vaccine manufacturing NIR virus cell near infrared spectroscopy |rld/magazine/article/707/near-infrared-spectroscopy-could-improve-flu-vaccine-manufacturin.XKcA_t2OuwY.twitter LINK

“Calibration development for nutritional evaluation of Yam (Dioscorea sp.) using Near-Infrared Reflectance Spectrophotometry (NIRS)” LINK

“DETERMINATION OF CAROTENOIDS AND DOBI CONTENT IN CRUDE PALM OIL BY SPECTROSCOPY TECHNIQUES: COMPARISON OF RAMAN AND FT-NIR SPECTROSCOPY” FTNIR NIRS LINK

“Feedforward and Feedback Control of a Pharmaceutical Coating Process.” NIRS LINK

“Development of Portable Non-Invasive Blood Glucose Measuring Device Using NIR Spectroscopy” LINK

“Akurasi Metode NIRS dalam Prediksi Kandungan Kimia Bubuk Green Coffee Bondowoso dengan Model Kubelka-Munk” LINK

“Identification of fiber added to semolina by near infrared (NIR) spectral techniques” LINK




Infrared

“Comparing the Potential of Near-and Mid-Infrared Spectroscopy in Determining the Freshness of Strawberry Powder from Freshly Available and Stored Strawberry” LINK

“Near-Infrared Imaging of Artificial Enamel Caries Lesions with a Scanning Fiber Endoscope” Sensors LINK

“Near-infrared imaging of diseases: A nanocarrier approach.” LINK

“N-Linked Glycosylation and Near-Infrared Spectroscopy in the Diagnosis of Prostate Cancer.” LINK

“Identification of Coal Geographical Origin Using Near Infrared Sensor Based on Broad Learning” LINK

“Online determination of chemical and physical properties of Poly(ethylene vinyl acetate) pellets using a novel method of Near-Infrared spectroscopy combined with angle transform” LINK

“Study on the Processing Technology of Calamine Calcination by Near-Infrared Spectroscopy” LINK

“A new approach to vibrational sum frequency generation spectroscopy using near infrared pulse shaping.” LINK

“Fourier transform near-infrared spectroscopy coupled to a long fibre optic head for the quality control of IBERIAN pork loins: Intact versus minced” LINK




Raman

“Recent Advancement in the Surface-Enhanced Raman Spectroscopy-Based Biosensors for Infectious Disease Diagnosis” LINK




Facts

“A Machine Learning Approach for Biomass Characterization” LINK




Equipment

“Classification of Food Powders with Open Set using Portable VIS-NIR Spectrometer” LINK




Future

“The 2019 Spectroscopy Salary Survey: A Surprising Downtrend” TL;DR : “The 2019 Spectroscopy salary survey results showed a 14% decrease in average base salaries compared to 2018. ” LINK




Environment

” Predicting bioavailability change of complex chemical mixtures in contaminated soils using visible and near-infrared spectroscopy and random forest regression” LINK

“Remote Sensing Techniques for Soil Organic Carbon Estimation: A Review” LINK




Agriculture

1000ogs project on regulated deficit irrigation in orchards of apple blueberry cherry considering the actual fruit developmental stage based on its size & brightening of ground colour (healthy chlorophyll, pheophytin_a) to save water. LINK

“Influence of moisture and grain sizes on the analysis of nutrients in German agricultural soils using DP-LIBS” LINK

“Change in the Microviscosity of Erythrocyte Membranes and Proteins in Blood Plasma after Graphene Oxide Addition: The ESR Spectroscopy Study” LINK




Pharma

“Spectral interval combination optimization (ICO) on rapid quality assessment of Solanaceae plant: a validation study” LINK




Laboratory

“On-farm instant quality analysis” by Cherney Jerry and Cherney Debbie (Progressive Dairyman ) forage laboratory NIR NIRS handheld LINK





Spectroscopy and Chemometrics News Weekly #36, 2016

Near Infrared

Near-infrared technology boosts quality of SA onions – by investing $5 million into near-infrared sorting LINK


Infrared

Using Infrared Spectroscopy to Develop and Improve Lithium Ion Batteries – AZoM LINK


Spectral Imaging

Low cost Multispectral Imaging “CLICK” LINK


Equipment

Ultra-portable wireless smartphone spectrometer for rapid non-destructive testing of fruit ripeness LINK


Food & Feed

Global Food Safety Testing Market expected to reach USD 8.04 Billion by 2021: Zion Market Research: Global demand… LINK

Handy Device + Phone App Tells if Fruit Is Ripe – IEEE Spectrum LINK


Other

Countering Counterfeit with Mobile Spectroscopy LINK