Spectroscopy and Chemometrics News Weekly #45, 2019

CalibrationModel.com

Aautomated machine learning enables this NIRS Lab workflow with ease : Sample -> measured with a NIRS spectrometer -> spectral data -> ⚖️ predicted with a NIRPredictor & CalibrationModel -> % quantitative results -> quality decision -> LINK

Increase Your Profit with optimized NIR Accuracy QAQC Food Feed Lab Milling Mills corn grain soybean LINK

NIR User? Get better results faster | Food Science QC Lab Laboratory Manager chemist LabWork Chemie analytik LINK

Reduce Cost of Ownership of NIRS Analycer by using CalibrationModel Services nirs Chemistry LINK

Spectroscopy and Chemometrics News Weekly 44, 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 44, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer NIRSensor Nahinfrarot NIRAnalytik NIRdevice LabEquipment Nahinfrarotspektroskopie Laboranalyse NIRlabor LINK

Spettroscopia e Chemiometria Weekly News 44, 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 Your-Company-Name-Here – cost-effective-NIR-instruments. Check out their spectrometer product page … link

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




Chemometrics

“MicroNIR/Chemometrics: a new analytical platform for fast and accurate detection of ?9-Tetrahydrocannabinol (THC) in oral fluids” LINK

“Supervised classification methods in hyperspectral imaging-recent advances” LINK

MachineLearning Summarized in One Picture by | Read more here: ML Classification Regression Clustering NeuralNetworks … LINK




Near Infrared

“Sorting post-consumer polymer on conveyor belt using NIR spectroscopy” LINK

” 近红外光谱技术在骨科疾病研究中的应用 Application of the NIR Spectroscopy in the Researches of Orthopedics Diseases” LINK

” Case Study of Ft-Nir Spectroscopy Age Estimation for Bering Sea Pacific Cod Stocks” LINK

“Proceedings of the research workshop on the rapid estimation of fish age using Fourier Transform Near Infrared Spectroscopy (FT-NIRS)” LINK




Infrared

“Identification of patients and plaques vulnerable to future coronary events with near-infrared spectroscopy intravascular ultrasound imaging: a prospective, cohort study” LINK

“Efficacy of PCSK-9 Inhibitors on Coronary Lipid Rich Plaque Assessed by Serial Near-Infrared Spectroscopy” LINK

“Analysis Technology of Residual Solvent of Printed Inkjet Ink with Near-Infrared Spectroscopy” LINK




Raman

In two weeks’ time I will be visiting the UK to talk about Raman spectroscopy on Mars! If you’re at Imperial, UCL or Oxford, come and learn about how we’re going to use Raman to search for biosignatures on another world! LINK




Hyperspectral

“Hyperspectral imaging as a part of pharmaceutical product design” LINK

“Analysis of chromophores in stained-glass windows using Visible Hyperspectral Imaging in-situ” LINK

” REAL-TIME CORRECTIONS FOR A LOW-COST HYPERSPECTRAL INSTRUMENT” LINK

“Hyperspectral imaging in medical applications” LINK

“An overview of regression methods in hyperspectral and multispectral imaging” LINK




Equipment

Good reminder that it’s easy to over-index on the “startup-industrial complex” and ignore the radical transformation software enables in old-line industries like, say, meat-packing equipment manufacturing. LINK




Environment

“Spectral Analysis of Estuarine Water for Characterisation of Inherent Optical Properties and Phytoplankton Concentration” LINK




Agriculture

“Qualitative and quantitative diagnosis of nitrogen nutrition of tea plants under field condition using hyperspectral imaging coupled with chemometrics” LINK

“Quantitative Analysis of Soil Total Nitrogen Using Hyperspectral Imaging Technology with Extreme Learning Machine” Sensors LINK

“Detection of adulterants and authenticity discrimination for coarse grain flours using NIR hyperspectral imaging” LINK

“Food and feed production” LINK

“Hyperspectral imaging in crop fields: precision agriculture” LINK

“Classification of saline water for irrigated agriculture using near infrared spectroscopy coupled with pattern recognition techniques” LINK




Other

” Classical and correlative analytical methods for origin identification of Hungarian honeys” LINK

” OpenAI Plays Hide and Seek…and Breaks The Game! ” LINK

“The problem isn’t data protection, it’s data collection.” – NSA Whistleblower has his day on GDPR at WebSummit LINK




Start Calibrate – NIR Quick Guide

Quick Start NIR Workflow: step by step

1. Check if your NIR-Device Data Format is directly supported (anyway you can convert to JCAMP) : NIR-Predictor supported Spectral Data File Formats

2. Download the free NIR-Predictor Software that contains demo data so you can play with it to see if it is the way you want analyse your NIR spectra (no registration needed) : NIR-Predictor Download

3. With your “NIR device” measurement software:

  • measure samples with NIR, that gets you spectra files,
  • label them with a proper sample name, so you know which is which,
  • and determine quantitative reference values by Laboratory reference method.
  • at least 60 samples with different contents is needed for a minimal calibration.
  • NIR-Predictor helps to create a template file (.csv) to enter the Lab values.

4. Creating your own Calibrations with NIR-Predictor to combine your NIR and Lab data for a calibration request : Creating your own Calibrations



Videos


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

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

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 #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 #33, 2019

CalibrationModel.com

SAFE COST IN MAINTAINING NIR-SPECTROSCOPY METHODS | NIRSpectroscopy NIRS Spectroscopy DigitalTransformation Analysis Lab Laboratory Application Quantitative Analysis Methods Measurements Analytical Parameters Spectrometer Quality Accuracy LINK

Spectroscopy and Chemometrics News Weekly 32, 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 32, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LaborNIR LINK

Spettroscopia e Chemiometria Weekly News 32, 2019 | NIRS NIR Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem prediction NIRmodels LINK

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




Chemometrics

“Predicting the dry matter intake of grazing dairy cows using infrared reflectance spectroscopy analysis.” LINK

“Simultaneous determination of food colorants in liquid samples by UVVisible spectroscopy and multivariate data analysis using a reduced calibration matrix” LINK

“Coupling MicroNIR / Chemometrics for the on-site detection of cannabinoids in hemp flours” LINK

“Calibration and Characterization of Hyperspectral Imaging Systems Used for Natural Scene Imagery” LINK

“Analysis of wood thermal degradation using 2D correlation of near infrared and visible-light spectroscopy” LINK

“Rapid method for the quantification and identification of emerging compounds in wastewater based in nir spectroscopy and chemometrics” LINK

“Predicting the dry matter intake of grazing dairy cows using infrared reflectance spectroscopy analysis” |(19)30642-3/fulltext LINK




Near Infrared

“Application of Artificial Neural Networks (ANN) Coupled with Near-InfraRed (NIR) Spectroscopy for Detection of Adulteration in Honey” LINK

“Statistical Analysis of Amylose and Protein Content in Landrace Rice Germplasm Collected from East Asian Countries Based on Near-Infrared Reflectance Spectroscopy (NIRS)” LINK

“Identification of wheat kernels by fusion of RGB, SWIR, and VNIR samples.” LINK

“Purity analysis of multi-grain rice seeds with non-destructive visible and near-infrared spectroscopy” LINK

“Development of a methodology to analyze leaves from Prunus dulcis varieties using near infrared spectroscopy.” LINK

“Analysis of hydration water around human serum albumin using near-infrared spectroscopy” LINK

“Real-time Biomass Characterization in Energy Conversion Processes using Near Infrared Spectroscopy-A Machine Learning Approach” LINK

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

“Near Infrared Reflectance Spectroscopy to analyze texture related characteristics of sous vide pork loin.” LINK

“Estimation of the Alcoholic Degree in Beers through Near Infrared Spectrometry Using Machine Learning” LINK

“The quantitative detection of botanical impurities contained in seed cotton with near infrared spectroscopy method” LINK




Raman

New post: Raman spectroscopy may make thyroid cancer diagnosis less invasive | Raman spectroscopy thyroid cancer LINK




Optics

“A multi-pixel diffuse correlation spectroscopy system based on a single photon avalanche diode array.” LINK




Agriculture

“The acute influence of sucrose consumption with and without vitamin C co-ingestion on microvascular reactivity in healthy young adults” vitaminC LINK

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

“Quantitative analysis and hyperspectral remote sensing of the nitrogen nutrition index in winter wheat” LINK




Food & Feed

“Multidimensional scaling assisted Fourier-transform Infrared spectroscopic analysis of fruit wine samples: Introducing a novel analytical approach” LINK





Spectroscopy and Chemometrics News Weekly #27, 2019

CalibrationModel.com

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 26, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spectroscopy and Chemometrics News Weekly 26, 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 26, 2019 | NIRS NIR Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem predictionmodels LINK

This week’s NIR news Weekly is sponsored by YourCompanyNameHere – BestNIRinstruments. Check out their product page … link

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




Chemometrics

“Non-destructive Classification for Maturity of Pomelo CV. Tubtim Siam” Brix LINK

“Authentication of “Avola Almonds” by Near Infrared (NIR) Spectroscopy and chemometrics” LINK

“Feature selection based convolutional neural network pruning and its application in calibration modeling for NIR spectroscopy” LINK

” Geographical origin traceability of Cabernet Sauvignon wines based on Infrared fingerprint technology combined with chemometrics” LINK




Near Infrared

“Compositional Analysis of Cement Raw Meal by Near-Infrared (NIR) Spectroscopy” LINK

A joint project by researchers from and IMB_CNM will explore the possibility of developing silicon sensors for near-infrared light detection with single photon resolution funded by the LINK

“Molecular (Raman, NIR, and FTIR) spectroscopy and multivariate analysis in consumable products analysis” LINK

“Influences of Detection Position and Double Detection Regions on Determining Soluble Solids Content (SSC) for Apples Using On-line Visible/Near-Infrared (Vis/NIR) …” LINK

“Non-destructive determination of strawberry fruit and juice quality parameters using ultraviolet, visible, and near infrared spectroscopy” LINK

“Determination of API Gravity and Total and Basic Nitrogen Content by Mid-and Near-Infrared Spectroscopy in Crude Oil with Multivariate Regression and Variable Selection” LINK

“Selecting Near-infrared Hyperspectral Wavelengths Based on One-way ANOVA to Identify the Origin of Lycium Barbarum” LINK

“Rapid and Nondestructive Measurement of Rice Seed Vitality of Different Years Using Near-Infrared Hyperspectral Imaging.” LINK

“Rapid estimation of soil heavy metal nickel content based on optimized screening of near-infrared spectral bands” LINK

“Distinguishing watermelon maturity based on acoustic characteristics and near infrared spectroscopy fusion technology” LINK

“Development of a methodology to analyze leaves from Prunus dulcis varieties using near infrared spectroscopy” LINK

“Rapid fingerprinting technology of heavy oil spill by Mid-infrared spectroscopy” LINK

“Evaluation of high alcohol concentration using a 1.7-µm band near-infrared spectroscopy system using multi-mode optical fibers” LINK




Raman

“Journal Highlight: Raman Open Database: first interconnected RamanXray diffraction openaccess resource for material identification” LINK




Equipment

“Water as a probe for serum-based diagnosis by temperature-dependent near-infrared spectroscopy” LINK




Process Control

“Detecting special-cause variation ‘events’ from process data signatures” LINK




Environment

“Soil macrofauna and leaf functional traits drive the decomposition of secondary metabolites in leaf litter” LINK




Agriculture

“Plants, Vol. 8, Pages 205: Comparison of Sugar Profile between Leaves and Fruits of Blueberry and Strawberry Cultivars Grown in Organic and Integrated Production System” LINK

“Sensors, Vol. 19, Pages 2934: Combining Fourier Transform Mid-Infrared Spectroscopy with Chemometric Methods to Detect Adulterations in Milk Powder” LINK

“Utilising near-infrared hyperspectral imaging to detect low-level peanut powder contamination of whole wheat flour” LINK




Chemical

“All Donor Electrochromic Polymers Tunable across the Visible Spectrum via Random Copolymerization” LINK




Other

“Effet du moment d’acquisition des spectres proche infrarouge sur la qualité de prédiction du taux de lipides et du taux de fonte du foie gras chez le canard” LINK

“Investigation of the prevalence and characterisation of infection by Kudoa thyrsites and K. paniformis in South African marine fish species” LINK





NIR Method Development Service for Labs and NIR-Vendors (OEM)


CalibrationModel.com ia a perfect match for
    – NIR Vendors    , selling NIR            , with limited capacity for NIR method development
    – Labs                , using NIR            , with limited capacity for NIR method development
    – small Labs        , starting with NIR , with no or less Chemometric knowledge


The Triple to success :
faster better analytics
    LAB Reference Analytics + NIR Spectroscopy + ChemoMetrics
    LAB + NIR +
CM
    => use CM as a Service : CalibrationModel


NIR Method Development : Before / After
    Before
    – The
need of a chemometric software ($$)
    – The
need of expert training courses (time,$$)
    – The
need of manual expert work (time,$$$)
    with
CalibrationModel
    – The
freedom without a chemometric software
    – The
freedom without being an expert
    – The
freedom of using a Service ($)
    =>
work smart, not hard


Workflow:
    Cloud Service
        DATA ->
CalibrationModel -> CALIB
                    fix cost, pay per CALIB development and usage

    Local Usage (no internet connection)
        DATA -> CALIB +
Predictor -> RESULT
                                included, no extra cost

    DATA = exported
Spectra and (Lab-)reference values as JCAMP-DX format
    CALIB = single quantitative property


Sending DATA
    DATA is sent by email, 2-3 days later, receive email with link to
      WebShop to purchase CALIB with PayPal/CreditCard
    DATA is
deleted after processing (Terms of Service TOS)
    optional: JCAMP
Anonymizer (removes sensitive information) before sending DATA


As Middleman you can
hide/cover the Service
    Customer <————————> CalibrationModel
                            or
    Customer <–>
Middleman <–> CalibrationModel
                        NIR Company
                        NIR Sales, Consultancy


Riskless Predictor OEM integration (in NIR-Vendors Instrument Software)
    Predictor is included at
no extra cost (for software licenses and development kit (SDK))
    Predictor as a
hidden second engine (second Heart)
    Windows .NET, easy programming interface (API)


Ownership
    
DATA owner -> CALIB owner ==> use as your Pre-CALIB
    CALIB is licensed to owner and so copy protected
    The owner can Re-License a CALIB to others
    owner can
re-sell CALIBs in its own WebShop with own prices


Re-Calibration
    DATA + DATA -> CALIB    same easy workflow as    DATA -> CALIB
    optimize from scratch, benefit from complete optimization possibilities
    
learn more
NIR-Predictor Software

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