Spectroscopy and Chemometrics News Weekly #41, 2019

CalibrationModel.com

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 40, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer Sensors Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse Prozess LINK

Spectroscopy and Chemometrics News Weekly 40, 2019 | NIRS NIR Spectroscopy Chemometrics Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software Sensors QA QC Testing Quality Checking LINK

Spettroscopia e Chemiometria Weekly News 40, 2019 | NIRS NIR Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem predictionmodels process LINK

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



Chemometrics

“Quantification and classification in process analytics using hyperspectral imaging” LINK

“Predicting Lipid, Caffeine And Chlorogenic Acid” LINK

“Comparison of Analytical Ability of PLS and SVM Algorithm in Estimation of Moisture Content, Higher Heating Value, and Lower Heating Value of Cassava Rhizome Ground using FT-NIR Spectroscopy” LINK

“Comprehensive comparison of multiple quantitative near-infrared spectroscopy models for” LINK

“Application of hyperspectral imaging combined with chemometrics for the non-destructive evaluation of the quality of fruit in postharvest” LINK




Near Infrared

“Rapid and nondestructive fraud detection of palm oil adulteration with Sudan dyes using portable NIR spectroscopic techniques.” LINK

“Feasibility of the Detection of Carrageenan Adulteration in Chicken Meat Using Visible/Near-Infrared (Vis/NIR) Hyperspectral Imaging” LINK

“Determination of the bruise degree for cherry using Vis-NIR reflection spectroscopy coupled with multivariate analysis.” LINK

“Impacts of the Extreme Conditons of Environments on RNA’s structure and function from the Avocado Sunblotch Viroid: Applicaton of NIR Spectroscopy and a Baro-Bio …” LINK

“Comparative study of commercial cold-cuts used NIRS and sensory analysis” LINK

“Prediction of digestibility and net energy of pig feeds by combined NIRS-spectra from feed and faeces” LINK

“Precision test for the spectral characteristic of FT-NIR for the measurement of water content of wheat straw” LINK




Infrared

” Surface Functionality and Water adsorption studies of alpha aluminium (111) oxide nanoparticles by Near Infrared Spectroscopy” LINK

” Quantitative genetic parameters for growth and wood properties in Eucalyptus’ urograndis’ hybrid using near-infrared phenotyping and genome-wide SNP-based relationships” LINK

“Meat freshness evaluation using visible to near-infrared spectroscopy (Conference Presentation)” LINK




Raman

“Raman Spectroscopy and Cancer Diagnosis” LINK




Equipment

“An integrated broadband spectrometer on thin-film lithium niobate” LINK




Environment

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




Agriculture

“Potential of VNIR spectroscopy for prediction of clay mineralogy and magnetic properties, and its paleoclimatic application to two contrasting Quaternary soil deposits” LINK

“A New Plant Indicator (Artemisia lavandulaefolia DC.) of Mercury in Soil Developed by Fourier-Transform Near-Infrared Spectroscopy Coupled with Least Squares …” LINK




Food & Feed

“Chocolate Quality Assessment Based on Chemical Fingerprinting Using Near Infra-red and Machine Learning Modeling” Foods LINK

“Prediction of Talc Content in Wheat Flour Based on a Near-Infrared Spectroscopy Technique.” 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 #36, 2019

CalibrationModel.com

9 Reasons why near-Infrared Spectroscopy Applications need periodic Calibration Maintenance | NIR NIRS Infrared LINK

Improve Accuracy of fast Nondestructive NIRS Measurements by Optimal Chemometric Modelling | pauto QAQC LINK

Spectroscopy and Chemometrics News Weekly 35, 2019 | NIRS NIR Spectroscopy Chemometrics Spectrometer processcontrol Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software Sensors QA QC Testing Quality Check LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 35, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie LINK

Spettroscopia e Chemiometria Weekly News 35, 2019 | NIRS NIR Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem predictionmodels LINK




Chemometrics

“Comparison of whole-tree wood property maps based on near-infrared spectroscopic calibrations utilizing data at different spatial resolutions” LINK

“Prediction of beef meat fatty acid composition by visible-near-infrared spectroscopy was improved by preliminary freeze-drying.” LINK

“Scalable calibration transfer without standards via dynamic time warping for near-infrared spectroscopy” LINK

“Cross components calibration transfer of NIR spectroscopy model through PCA and weighted ELM-based TrAdaBoost algorithm” 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

“Application of Near-Infrared for Online Monitoring of Heavy Fuel Oil at Thermoelectric Power Plants. Part I: Development of Chemometric Models” LINK

“Accuracy and biases in predicting the chemical and physical traits of many types of cheeses using different visible and near-infrared spectroscopic techniques and spectrum intervals” LINK

“A Regional Legacy Soil Dataset for Prediction of Sand and Clay Content with Vis-Nir-Swir, in Southern Brazil” LINK

“Rapid prediction of atrazine sorption in soil using visible near-infrared spectroscopy” LINK

“Developing Calibration Model for Prediction of Malt Barley and Teff Genotypes Quality Traits Using Near Infrared Spectroscopy (NIRS)” LINK

” Prediction of Glycogen and Moisture Contents in Japanese Wagyu Beef by Fourier Transform Near-infrared Spectroscopy for Quality Evaluation” LINK




Near Infrared

“基于核局部保持投影的近红外光谱玉米单倍体识别研究” “Research on Identifying Maize Haploid Seeds Using Near Infrared Spectroscopy Based on Kernel Locality Preserving Projection” LINK

“种基于近红外光谱与化学计量学的绿茶快速无损鉴别方法” “Nondestructive Identification of Green Tea Based on Near Infrared Spectroscopy” LINK

“纺织品近红外光谱定性分析的一种新方法” “A New Method for Qualitative Analysis of Near Infrared Spectra of Textiles” LINK

“NIR-based Sudan I to IV and Para-Red food adulterants screening” LINK

“Evaluation of sensory and texture profile analysis properties of stored Khalal Barhi dates nondestructively using Vis/NIR spectroscopy” LINK

“Safety and quality issues in summer squashes using handheld portable NIRS sensors for real-time decision making and on-vine monitoring” LINK

“Age grading An. gambiae and An. arabiensis using near infrared spectra and artificial neural networks.” mosquitoes LINK

“Identification of turkey meat and processed products using near infrared spectroscopy” LINK

“Development and Testing of a Portable Soil Nitrogen Detector Based on Near-infrared Spectroscopy” LINK




Raman

” “Resonance” Raman spectroscopy with 1-nm resolution” LINK




Equipment

“Single-nanowire spectrometers” nanowire nanotechnology LINK

“Scientists Develop Smallest Spectrometer Ever, And The Applications Are Incredible” LINK




Agriculture

“Rapid Estimation of Wheat Straw Decomposition Constituents Using Near-Infrared Spectroscopy” Agronomy LINK

“Evaluating different approaches to non-destructive nitrogen status diagnosis of rice using portable RapidSCAN active canopy sensor.” LINK




Medicinal

“Effect of Reduced Point NIR Spectroscopy on Glucose Prediction Error in Human Blood Tissue” LINK





Spectroscopy and Chemometrics News Weekly #35, 2019

Near Infrared (NIR)

“Evaluation of diesel exhaust fluid (DEF) using near-infrared spectroscopy and multivariate calibration” LINK

“A weighted ensemble method based on wavelength selection for near-infrared spectroscopic calibration” LINK

“110th Anniversary: Real-Time Endpoint Detection of Fluidized Bed Drying Process Based on a Switching Model of Near-Infrared Spectroscopy” LINK

“Supervised Dictionary Learning with Regularization for Near-infrared Spectroscopy Classification” tobacco NIRS LINK

“Evaluation of NIRS as non-destructive test to evaluate quality traits of purple passion fruit” LINK

“A Comparison of Sparse Partial Least Squares and Elastic Net in Wavelength Selection on NIR Spectroscopy Data” LINK

“High-throughput analysis of leaf physiological and chemical traits with VIS-NIR-SWIR spectroscopy: a case study with a maize diversity panel.” LINK

“Comparative study on the use of three different near infrared spectroscopy recording methodologies for varietal discrimination of walnuts” LINK

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

“Use of near infrared spectroscopy and spectral database to assess the quality of pharmaceutical products and aid characterization of unknown components” LINK

“Determination of soil organic matter using visible-near infrared spectroscopy and machinelearning” LINK

“Evaluation of acetic acid and ethanol concentration in a rice vinegar internal venturi injector bioreactor using Fourier transform near infrared spectroscopy” LINK




Chemometrics

“Determination of the superficial citral content on microparticles: An application of NIR spectroscopy coupled with chemometric tools” LINK

“Non-Invasive Tools to Detect Smoke Contamination in Grapevine Canopies, Berries and Wine: A Remote Sensing and Machine Learning Modeling Approach” LINK

“Optimization of soluble solids content prediction models in ‘Hami’melons by means of Vis-NIR spectroscopy and chemometric tools” LINK

“Fast quantitative detection of Black Pepper and Cumin adulterations by near-infrared spectroscopy and multivariate modeling” LINK

“Prediction of toughness and other beef quality characteristics of the m. longissimus thoracis using polarized near-infrared reflectance spectroscopy” LINK

“Application of near infrared for on-line monitoring of heavy fuel oil at thermoelectric power plants. Part I: Development of chemometric models” LINK

What’s a Near-Infrared-sensor for combines? Donau Soja collects data from soya fields for the soya yield- and protein prediction model within CYBELE_H2020. The NIR sensor measures & maps protein, oil and other quality parameters in real time during the upcoming harvest season! LINK

“NIRs calibration models for chemical composition and fatty acid families of raw and freeze-dried beef: a comparison” LINK

“Honey botanical origin classification using hyperspectral imaging and machine learning” LINK




CalibrationModel.com

Spectroscopy and Chemometrics News Weekly 34, 2019 | NIRS NIR Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Software Sensors QAQC Testing Quality Checking LabManagers laboratory digitalization LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 34, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer Sensor Nahinfrarot Chemie Analytik Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse Qualitätslabor labdata LINK

Spettroscopia e Chemiometria Weekly News 34, 2019 | NIRS NIR Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem prediction models LINK




Facts

Most people now know companies like Google & Facebook collect & sell your data. Yet some people still think, “So what? I have nothing to hide.” Here’s five compelling reasons to tell them why your privacy is worth more than you think! LINK




Environment

“Relevance of a near infrared spectral index for assessing tillage and fertilization effects on soil water retention” LINK




Agriculture

“Fast And Simultaneous Prediction Of Agricultural Soil Nutrients Content Using Infrared Spectroscopy” LINK

“Quantitative and qualitative phenotyping of disease resistance of crops by hyperspectral sensors: seamless interlocking of phytopathology, sensors, and machine learning is needed!” LINK

“Prediction of macronutrients in plant leaves using chemometric analysis and wavelength selection” LINK




Other

“Spectroscopic data supporting investment decisions” LINK





.

Spectroscopy and Chemometrics News Weekly #32, 2019

CalibrationModel.com

Spectroscopy and Chemometrics News Weekly 31, 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 31, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysemethode Nahinfrarotspektroskopie Laboranalyse Qualitätslabor LINK

Spettroscopia e Chemiometria Weekly News 31, 2019 | NIRS NIR Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Chem Sensore analitica Laboratorio analisi prova qualità Analysesystem prediction models Calibrazione LINK




Chemometrics

“Near infrared spectroscopic investigation of lipid oxidation in model solid food systems” LINK

Rapid quantification of the adulteration of fresh coconut water by dilution and sugars using Raman spectroscopy and chemometrics, published in Food Chemistry, is now OpenAccess via LINK

“Recent Progress in Rapid Analyses of Vitamins, Phenolic, and Volatile Compounds in Foods Using Vibrational Spectroscopy Combined with Chemometrics: a Review” LINK

” Beef Tenderness Prediction by a Combination of Statistical Methods: Chemometrics and Supervised Learning to Manage Integrative Farm-To-Meat Continuum Data” Foods LINK

“P-Wave VisibleShortwaveNear-Infrared (Vis-SW-NIR) Detection System for the Prediction of Soluble Solids Content and Firmness on Wax Apples” LINK

“Model development for soluble solids and lycopene contents of cherry tomato at different temperatures using near-infrared spectroscopy” LINK




Near Infrared

“Preliminary Assessment of Visible, Near-Infrared, and Short-Wavelength-Infrared Spectroscopy with a Portable Instrument for the Detection of Staphylococcus aureus Biofilms on Surfaces.” LINK

” Inline monitoring of powder blend homogeneity in continuous drug manufacture using near infrared spectroscopy” LINK

“Nondestructive real-time assessment of sausage quality based on visible-near infrared spectrographic technique” LINK

“Lipid oxidation degree of pork meat during frozen storage investigated by near-infrared hyperspectral imaging: Effect of ice crystal growth and distribution” LINK

“High prevalence of cholesterol-rich atherosclerotic lesions in ancient mummies: A near-infrared spectroscopy study” LINK

“Application of Infrared Spectroscopy for Functional Compounds Evaluation in Olive Oil: A Current Snapshot” LINK

“Towards online Near-Infrared spectroscopy to optimise food product mixing” LINK




Hyperspectral

“Estimation of chlorophyll content in intertidal mangrove leaves with different thicknesses using hyperspectral data” LINK

“Snapshot Multispectral and Hyperspectral Data Processing for Estimating Food Quality Parameters” LINK




Environment

“Field Spectroscopy: A Non-Destructive Technique for Estimating Water Status in Vineyards” LINK

“Optical detection of contamination event in water distribution system using online Bayesian method with UVVis spectrometry” LINK




Agriculture

“GrassQ-A holistic precision grass measurement and analysis system to optimize pasture based livestock production” LINK

“Monitoring of Nitrogen and Grain Protein Content in Winter Wheat Based on Sentinel-2A Data” Remote Sensing LINK

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

“Sensors, Vol. 19, Pages 3147: NIR Hyperspectral Imaging Technology Combined with Multivariate Methods to Study the Residues of Different Concentrations of Omethoate on Wheat Grain Surface” LINK




Food & Feed

“Multi-target Prediction of wheat flour quality parameters with near infrared spectroscopy” LINK




Other

” Spectroscopic determination of leaf chlorophyll content and color for genetic selection on Sassafras tzumu” LINK

Record-breaking new analytical method for fingerprinting petroleum and other complex mixtures LINK

A record-breaking 244,779 molecular compositions within a sample of petroleum have been assigned using a powerful method of analysing and ‘fingerprinting’ chemical mixtures developed by at . Read more: LINK

“Optical properties of living corals determined with diffuse reflectance spectroscopy” LINK





NIR-Predictor

New: NIR-Predictor V2.4 with new features

The new Version of the free NIR-Predictor
supports multiple native file formats
of miniature, mobile and desktop spectrometers
get your spectra analyced as easy as Drag’n’Drop.

  • NIR-Predictor is an easy to use NIR software for all NIR devices
    to produce quantitative results out of NIR data.

  • CalibrationModel Service provides development of
    customized calibrations out of NIR and Lab data.

  • It allows to use NIR with your own customized
    models without the need of Chemometric Software!

  • We do the Machine Leraning for your NIR-Spectrometer
    and with the free NIR-Predictor you are
    able to analyze new measured samples.

  • For NIR-Vendors we also offer the
    Software Development Kit (SDK) for OEM Predictor use
    via the Application Programming Interface (API).
    Think of a sencod predictor engine,
    as a second heart in your system.



Download

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 …
  • different wave-ranges and wave-resolutions and …
  • predicts each spectrum with all compatible calibrations and …
  • merges the results in a report and …
  • saves the report as HTML.

It allows you to

  • comparing measurements
  • compare different calibrations
  • compare different spectrometers,
    carry out your own round-robin amongst the vendors’ instruments.
  • compare different spectra file formats

With no configuration and no special menu command,
just drag & drop your data files.

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.

It’s time saving and less error prone because you DON’T need to open each spectrum file separately in an editor and copy the spectral values into a table grid beside the Lab-values.

Properties File Creator saves you from:

  • manually error prone and boring tasks
  • importing multiple data files and combining it’s content manually into a single data file to append the lab reference values (aka properties)
  • programming and writing scripts to transform the data into the shape needed
  • no trouble with data handling of
    • Wavelength / Wavenumber information (x-axis)
    • Absorbance / Reflectance labeling (y-axis)
    • checking compatibility of the raw data before merging
    • Averaging Spectral Intensities of a Sample
    • coping, flipping and transposing rows and colums to get the X-Block and Y-Block data sets ready for calibration modeling
    • limited and error prone table grid functionality

Because it’s all automatic and you can check the results and get the analysis information!

Properties File Creator provides you – a individual template based on your raw-data for combining NIR and Lab-values – analysis and checks for better data quality for calibration

Top 8 Reasons why you should use
Automated NIR Calibration Service

  • No subjective model selection
  • No variation in results and interpretation
  • No overfitting model
  • Better accuracy
  • Better precision
  • Time saving!
  • No software cost (no need for Chemometric software and training)
  • One free prediction software for all your NIR systems

Reduce Total Cost of Ownership (TCO) of your NIR

To be ahead of competitors – by not owning a chemometric software – by not struggling days with these complicated software – by not deep dive into chemometrics theory

It takes significant know-how and continous investment to develop calibrations – You need to have the relevant skill sets in your organization. – That means salaries (the biggest expense in most organizations)

To get most out of it, start now! – use the free NIR-Predictor together with your NIR-Instrument software – as an NIR-Vendor, integrate the free NIR-Predictor OEM into your NIR-Instrument software – don’t delay time-to-market

Download


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