NIR Calibration Service explained

Our Service is different

  • We build the optimal quantitative prediction models for your NIR analytical needs (No need for mathematical/statistical model building software usage at your site).
  • The NIR-Predictor software and the calibration models are at your site. No internet connection needed to our service. You can do unlimited predictions, that allows fast measurement cycles with no extra cost (Not payed per prediction).
  • You own your data and the calibrations. You can have access to the detailed Calibration Report with all the settings and statistics (No Black-Box Models).

Get NIR Calibrations

Get NIR Calibrations - Workflow
Your 4 steps to the applicable NIR calibration:
  1. Download free NIR-Predictor here
  2. Combine NIR-Spectra with Lab-Reference values, see Video for 2. and 3. (manual)
  3. Create a Calibration Request and sent it to info@CalibrationModel.com (CM)
  4. After processing you will get a link to the Web Shop to download the calibrations.



Use NIR Calibrations

Use NIR Calibrations Workflow
see more Videos


In other words

Calibration Model simplifies the process of training machine learning models for NIRS data while providing an opportunity to trying different algorithms and applied near-infrared spectroscopy (NIRS) knowledge. It’s more than an AutoML platform, it’s a full service where you can download the optimal model and its describing Calibration Report that provide insights into the data preparation, feature engineering, model training, and hyperparameter tuning.

Start Calibrate

Spectroscopy and Chemometrics News Weekly #4, 2020

CalibrationModel.com

5 Mistakes to Avoid on Digitalization in NIR-Spectroscopy – that Lab Managers, Executives and CEOs must know! NIRSpectroscopy NIRS Sensors NearInfrared Analyzers DigitalTransformation QualityControl foodtech machinelearning AI DataScience LINK

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

Spectroscopy and Chemometrics News Weekly 3, 2020 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software Sensors QA QC Testing QualityCheck LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 3, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 3, 2020 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem predictionmodel LINK

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

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




Near Infrared

“APPLICATION OF NIRS TECHNOLOGY TO PREDICT MINOR COMPONENTS IN RAW AND PROCESSED POTATOES” LINK

“A new application of NIR spectroscopy to describe and predict purees quality from the non-destructive apple measurements” LINK

” Deep Learning Application for Predicting Soil Organic Matter Content by VIS-NIR Spectroscopy” LINK

“Faecal-NIRS for predicting digestibility and intake in cattle: efficacy of two calibration strategy” LINK

“Predicting the dry bulk density of soils across Denmark: Comparison of single-parameter, multi-parameter, and vis–NIR based models” LINK

“Deep Learning Application for Predicting Soil Organic Matter Content by VIS-NIR Spectroscopy” LINK

“Moisture Content Prediction System of Dried Sea Cucumber (Beche-de-mer) Based on Visual Near-Infrared Imaging” LINK

“Crude protein prediction of heterogeneous mountain grassland with visible-near-infrared spectroscopy” LINK

“Extended multiplicative signal correction for FTIR spectral quality test and pre-processing of infrared imaging data” LINK

“Understanding the complexity of the structures in alcohol solutions by temperature-dependent near-infrared spectroscopy.” LINK

“Journal Highlight: Digital bandstop filtering in the quantitative analysis of glucose from nearinfrared and midinfrared spectra” LINK

“O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression.” LINK

“Application of near-infrared spectroscopy and class-modeling to antibiotic authentication.” LINK

“Estimation of Protein and Fatty Acid Composition in ShellIntact Cottonseed by Near Infrared Reflectance Spectroscopy” LINK




Raman

“Fiber-Array-Based Raman Hyperspectral Imaging for Simultaneous, Chemically-Selective Monitoring of Particle Size and Shape of Active Ingredients in Analgesic …” LINK

“Surface-enhanced Raman spectroscopy with partial least squares regression for rapid and accurate detection of malachite green in aquaculture water using large-size gold nanoparticles” LINK




Hyperspectral

“Non-destructive assessment of the myoglobin content of Tan sheep using hyperspectral imaging” LINK

“A partial least squares-based approach to assess the light penetration depth in wheat flour by near infrared hyperspectral imaging” LINK

“Development the On-line Rice flour Discrimination Technology Using Hyperspectral Imaging System” LINK




Chemometrics

“Glycerol’s generalized two-dimensional correlation IR/NIR spectroscopy and its principal component analysis.” LINK

“NIR Spectroscopy Coupled with Chemometrics as a Tool for Quality Analysis of Beer Samples” LINK

” Comparison of Multi-Factor-Considered Blood Glucose Prediction Models by Near-Infrared Spectroscopy” LINK

“On-line species identification of green hem-fir timber mix based on near infrared spectroscopy and chemometrics” LINK




Future

“Emerging trends of advanced sensor based instruments for meat, poultry and fish quality – a review” LINK




Process Control

“Multi-block SO-PLS approach based on infrared spectroscopy for anaerobic digestion process monitoring” LINK




Environment

“Application of Vis-NIR spectroscopy for determination the content of organic matter in saline-alkali soils” LINK




Agriculture

“Rapid differentiation of Piper methysticum (kava) plant parts using single point and imaging vibrational spectroscopy” LINK

“High-throughput field phenotyping traits of grain yield formation and nitrogen use efficiency: Optimizing the selection of vegetation indices and growth stages” LINK

“Evaluation des propriétés hydriques de sols de Bretagne grâce à un indice spectral proche infrarouge.: Pertinence régionale et objectivation de l’impact des pratiques …” LINK

“Applied Sciences, Vol. 9, Pages 5336: Analysis of Methanol Gasoline by ATR-FT-IR Spectroscopy” LINK

“Near infrared spectroscopic data for rapid and simultaneous prediction of quality attributes in intact mango fruits.” LINK

“Application of Near-Infrared Hyperspectral Imaging with Machine Learning Methods to Identify Geographical Origins of Dry Narrow-Leaved Oleaster (Elaeagnus angustifolia) Fruits.” LINK




Laboratory

“Near infrared (NIR)-spectroscopy and in-vitro dissolution absorption system 2 (IDAS2) can help detect changes in the quality of generic drugs” LINK




Other

“Developing a New Spectral Index for Detecting Cadmium-Induced Stress in Rice on a Regional Scale” LINK





Spectroscopy and Chemometrics News Weekly #52, 2019

CalibrationModel.com

5 Fehler, die es bei der Digitalisierung in der NIR-Spektroskopie zu vermeiden gilt – das müssen Labormanager, Führungskräfte und CEOs wissen! NIRSpectroscopy NIRS Sensor NearInfrared Analyzers DigitalTransformation foodtech machinelearning LINK

Spectroscopy & Chemometrics News Weekly 51, 2019 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory AI Software IoT Sensors QA QC Testing Quality LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 51, 2019 | NIRS NIR Spektroskopie MachineLearning Spektrometer Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse IoT LINK

Spettroscopia e Chemiometria Weekly News 51, 2019 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem Sensore AI Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem predictionmodels LINK

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

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




Near Infrared

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

” EVALUATION OF BIOPLASTICS FORMULATED FROM FOOD WASTE USING NIR SPECTROSCOPY IMAGING” LINK

“Multi-block classification of Italian semolina based on Near Infrared Spectroscopy (NIR) analysis and alveographic indices.” LINK

“A Rapid, Univariate FT-NIR Procedure to Determine Moisture Concentration in Olive Oil.” LINK

“Hand-Held Near-Infrared Spectroscopy for Authentication of Fengdous and Quantitative Analysis of Mulberry Fruits” LINK

“State of the art and applications of near infrared spectroscopy in food composition and quality” LINK

“Application of near-infrared spectroscopy for frozen-thawed characterization of cuttlefish (Sepia officinalis).” LINK

“Discrimination of white teas produced from fresh leaves with different maturity by near-infrared spectroscopy.” LINK

“Qualitative classification of waste textiles based on near infrared spectroscopy and the convolutional network” LINK




Raman

“Transmission Raman Spectroscopic Quantification of Active Pharmaceutical Ingredient in Coated Tablets of Hot-Melt Extruded Amorphous Solid Dispersion” LINK

“The application of surface enhanced Raman scattering to the detection of asphaltic petroleum in sediment extracts: deconvolving three component-mixtures using look-up tables of entire surface enhanced Raman spectra” LINK

“Detection of fish bones in fillets by Raman hyperspectral imaging technology” LINK

“Blood species identification based on deep learning analysis of Raman spectra” LINK




Hyperspectral

“Estimating growth and photosynthetic properties of wheat grown in simulated saline field conditions using hyperspectral reflectance sensing and multivariate analysis.” LINK

“Hyperspectral Wavelength Selection and Integration for Bruise Detection of Korla Pears” LINK

“Monitoring of Wheat Scab Using the Specific Spectral Index from ASD Hyperspectral Dataset” LINK

“Development of Simplified Models for Nondestructive Testing of Rice with Husk Starch Content Using Hyperspectral Imaging Technology” LINK




Chemometrics

“Machine Learning Algorithms for Soil Properties Prediction with Treated Vis–NIR Spectrums from the Itatiaia National Park” LINK

“Chemometric Authentication of Brazilian Coffees Based on Chemical Profiling” LINK

“Comparison of prediction power of three multivariate calibrations for estimation of leaf anthocyanin content with visible spectroscopy in Prunus cerasifera.” LINK

“Application of machine learning techniques to electron microscopic/spectroscopic image data analysis” LINK




Agriculture

“Estimating Atterberg Limits of Fine-Grained Soils by Visible–Near-Infrared Spectroscopy” LINK

“Optical implementation of partially negative filters using a spectrally tunable light source, and its application to contrast enhanced oral and dental imaging” LINK

“Compositional Analysis of Non-Polar and Polar Metabolites in 14 Soybeans Using Spectroscopy and Chromatography Tools.” LINK

“Quantitative Analysis of Trans Fatty Acids in Cooked Soybean Oil Using Terahertz Spectrum” LINK

“Evidence on the discrimination of quinoa grains with a combination of FT-MIR and FT-NIR spectroscopy.” LINK




Food & Feed

“Estimating heritability for meat composition traits in the golden shell strain of Pacific oyster (Crassostrea gigas)” LINK




Laboratory

“Climate structures bison dietary quality and composition at the continental scale” LINK





Spectroscopy and Chemometrics News Weekly #50, 2019

CalibrationModel.com

Total cost of ownership (TCO) of NIR-Spectroscopy Systems in the Age of Digitalization – Compare Operating Costs of NIRS LINK

Spectroscopy and Chemometrics News Weekly 49, 2019 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software Sensors QA QC Testing Quality LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 49, 2019 | NIRS NIR Spektroskopie MachineLearning Spektrometer Sensor Nahinfrarot LaborAnalytik Analysengeräte Analysentechnik Analysemethode Labor Nahinfrarotspektroskopie Qualitätslabor LINK

Spettroscopia e Chemiometria Weekly News 49, 2019 | NIRS NIR Spettroscopia MachineLearning 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 – NIR-spectrometers. Check out their product page … link

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




Near Infrared

” Raman Spectroscopy and NIR Spectroscopy as Possible AID in Localisation of Solitary Pulmonary Nodules” LINK

NIR spectroscopy has potential for rapid on farm analysis of slurry nutrient content. Wouter Saeys, IFSConf LINK

“Modeling for SSC and Firmness Detection of Persimmon Based on NIR Hyperspectral Imaging by Sample Partitioning and Variables Selection” LINK

” Application of the NIR Spectroscopy in the Researches of Orthopedics Diseases” LINK

“FT-NIR による油脂の迅速な品質管理” LINK

“Accuracy improvement of quantitative analysis in VIS-NIR spectroscopy using the GKF-WTEF algorithm.” LINK

“Rapid determination of the content of digestible energy and metabolizable energy in sorghum fed to growing pigs by near-infrared reflectance spectroscopy.” LINK

“Characterization of the Processing Conditions upon Textural Profile Analysis (TPA) Parameters of Processed Cheese Using Near-Infrared Hyperspectral Imaging” LINK

“Total aromatics of diesel fuels analysis by deep learning and near-infrared spectroscopy” LINK

“Rapid Assessment of Soil Quality Indices Using Infrared Reflectance Spectroscopy” LINK

“Quantitative Determination of the Fiber Components in Textiles by Near-Infrared Spectroscopy and Extreme Learning Machine” LINK

“Non-Destructive Method for Predicting Sapodilla Fruit Quality Using Near Infrared Spectroscopy” LINK

“Qualitative analysis for sweetness classification of longan by near infrared hyperspectral imaging” LINK

” MENGUKUR BERAT VOLUME TANAH DI LAPANGAN MENGGUNAKAN NEAR INFRARED SPECTROSCOPY MEASUREMENT OF SOIL BULK DENSITY IN …” LINK

“Hyperspectral Characteristics of Coastal Saline Soil with Visible/near Infrared Spectroscopy” LINK

“Monitoring Soil Surface Mineralogy at Different Moisture Conditions Using Visible Near-Infrared Spectroscopy Data” LINK

“Near infrared spectroscopy for assessing mechanical properties of Castanea sativa wood samples” Modulus of elasticity LINK

” Development of near-infrared spectroscopic sensing system for online real-time monitoring of milk quality during milking” LINK

” Advances in Near-Infrared Spectroscopy and Related Computational Methods” LINK

“Morphological, Physicochemical and FTIR Spectroscopic Properties of Bee Pollen Loads from Different Botanical Origin” LINK

“Fourier transform infrared imaging and quantitative analysis of pre-treated wood fibers: A comparison between partial least squares and multivariate curve resolution with alternating least squares methods in a case study” LINK

“Antioxidant Activity of Blueberry (Vaccinium spp.) Cultivar Leaves: Differences Across the Vegetative Stage and the Application of Near Infrared Spectroscopy.” LINK




Hyperspectral

“Development of Simplified Models for Nondestructive Testing of Rice with Husk Starch Content Using Hyperspectral Imaging Technology” LINK




Spectral Imaging

“Model for estimation of total nitrogen content in sandalwood leaves based on nonlinear mixed effects and dummy variables using multispectral images” LINK

“Sources of Variation in Assessing Canopy Reflectance of Processing Tomato by Means of Multispectral Radiometry” LINK




Chemometrics

“Sampling for spectroscopic analysis: consequences for multivariate calibration” LINK

“Combination of hyperspectral sensing images and chemometrics for measuring tensile strength indices of organic plastic sheeting in the field” LINK

” Comparison of prediction power of three multivariate calibrations for estimation of leaf anthocyanin content with visible spectroscopy in Prunus cerasifera” LINK

” Prediction of quality parameters of food residues using NIR spectroscopy and PLS models based on proximate analysis” LINK

“Pre-processing spectroscopic data: for good or ill?” LINK




Process Control

“Optimization of pickled herring production-Approaches for process and quality control-DTU Orbit (26/09/2019)” LINK




Environment

“Response surface methodology for optimizing LIBS testing parameters: A case to conduct the elemental contents analysis in soil” LINK




Pharma

“Rapid detection of cAMP content in red jujube using near-infrared spectroscopy” LINK

“Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning.” LINK




Other

“Determination of Carvacrol Content in Alaska Yellow Cedar (Callitropsis nootkatensis) Extractives” LINK





Cost comparision / Price comparison of Chemometrics / Machine Learning / Data Science for NIR-Spectroscopy

CalibrationModel.com (CM) versus Others

Costs are not everything, there are other important factors listed in the table.

CM fix € pricing Others € Price Range (approx.)
Software
included
Chemometric Package not‑needed
€3500 – €6500 per user
Chemometric Predictor
free‑software
€1500 – €2500 per NIR device
Knowledge
included
Chemometric Training not‑needed
€1500 – €2500 per user
Chemometrician* Salary not‑needed
1 years Salary / year
(+ risk of Employee Turnover)
Computation
included
Powerful Computer (many Processors, lot of RAM for big data) not‑needed
€1500 – €4500 per computer
Development and Usage
Development of a Calibration
€128
€80 – €150 / hour
of Chemometrician* using a Chemometric Software (click and wait) and applying it’s knowledge
Usage of a Calibration
€60 / year
Total €178 in first year
€60 in second year
initial (min €8000 , max €15500)
+ 2 * (2 – 4)(hour to cost same! as CM service) * (€80 – €150) Chemometrician* work
no initial cost
very high initial costs
no personnel cost
high personnel* costs
constant CM services
risk of Employee Turnover
global knowledge
risk of only use personal knowledge
easy to calculate fix cost on demand
difficult to calculate variable cost on demand plus Chemometrician* Recruitment needed
Results :
calibration prediction performance
always reproducible highly optimized
only as good as your Chemometrician* daily condition
better prediction performance, due to best-of 10’000x calibrations
small size of experiments, non-optimal calibrations

See also: pricing

Start Calibrate

*) Personnel / Chemometrician / Data Scientist / Data Analyst / Machine Learning Engineer : We are not against it, we are one of them a long time ago, but the way the work is done is changing (see below).

2019 Digitalization and the Future of Work: Macroeconomic Consequences
2019 The Digitalization of the American Workforce
2017 Digitalization and the American workforce , full-report

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 : watch Video read Manual



Videos


Spectroscopy and Chemometrics News Weekly #28, 2019

CalibrationModel.com

Why NIR vendors should use ready-to-use dedicated NIR modeling software solution that works already. LINK

Spectroscopy and Chemometrics News Weekly 27, 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 27, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer Messtechnik Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Labor Analyse LINK

Spettroscopia e Chemiometria Weekly News 27, 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 YourCompanyNameHere – BestNIRinstruments. Check out their product page … link

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




Chemometrics

“Prediction of chemical content in patchouli oil (Pogostemon cablin Benth) by portable NIR spectroscopy” LINK

“Carbohydrate Analysis by NIRS-Chemometrics” LINK

“Chemosensors, Vol. 7, Pages 29: The Electronic Nose Coupled with Chemometric Tools for Discriminating the Quality of Black Tea Samples InSitu” LINK

fruit sensor calibration for monitoring fruit development continuously in the orchard see poster at ecpa2019 LINK

New Journal of Spectral Imaging–JSI Paper: Adaptive hierarchical clustering for hyperspectral image classification: Umbrella Clustering | Remotesensing LINK

“Prediction of Dissolution of Sustained Release Coated Ciprofloxacin Beads Using Near-infrared Spectroscopy and Process Parameters: a Data Fusion Approach” LINK




Near Infrared

“The effect of particle aspect ratio on spatially and angularly resolved vis-NIR spectroscopy of suspensions” LINK

nIRCat, a near-infrared (1000-1300 nm) probe to image dopamine in the brain LINK

“交通渋滞場面での怒りの接近動機づけ (攻撃性) における加齢の影響: 近赤外線分光法 (NIRS)・心拍出量・唾液中コルチゾールを用いた検討 (ヒューマンコミュニケーション基礎)” LINK

“Desarrollar un modelo de predicción mediante Espectroscopia en Infrarrojo Cercano (NIRS) para la determinación de proteína cruda en subproductos de arroz (Oriza sativa)” LINK

Detection of intracranial hematomas in the emergency department using near infrared spectroscopy LINK

Coating excipients How to Measure Coating Thickness of Tablets: Method Comparison of Optical Coherence Tomography, Near-infrared Spectroscopy and Weight-, Height- and Diameter Gain LINK

“NIRS identification of black textiles: Improvements for waste textiles sorting” LINK

“Near-infrared spectroscopy for determining the oxidation stability of diesel, biodiesel and their mixtures” LINK

“Influence of surface roughness and surface moisture of plastics on sensor-based sorting in the near infrared range.” LINK

“Present and future of portable/handheld near-infrared spectroscopy in chicken meat industry” LINK




Hyperspectral

“Remote Sensing, Vol. 11, Pages 1622: A Lightweight Hyperspectral Image Anomaly Detector for Real-Time Mission” LINK




Spectral Imaging

“Multispectral Imaging for Detection of Adulterants in Turmeric Powder” LINK




Facts

It’s hype nowadays to play with all the fancy shiny new open source releases, but how long will a company let their technicians play with it? 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 miliaceum L.” LINK

“Extension of the Measurable Wavelength Range for a Near-Infrared Spectrometer Using a Plasmonic Au Grating on a Si Substrate” LINK




Process Control

“Integrated Robotic Mini Bioreactor Platform for Automated, Parallel Microbial Cultivation With Online Data Handling and Process Control” LINK




Agriculture

“Nutrients, Vol. 11, Pages 1476: Nutritional Properties and Consumers Acceptance of Provitamin A-Biofortified Amahewu Combined with Bambara (Vigna Subterranea) Flour” LINK

“Rapid detection of carbon-nitrogen ratio for anaerobic fermentation feedstocks using near-infrared spectroscopy combined with BiPLS and GSA” LINK




Forestry

“Soil C stocks in the sylvopastoral zone of Senegal as influences by trees” LINK




Medicinal

“Current methods for the assessment of skin microcirculation: Part 1” LINK




Other

“Kayseri Ekolojik Kosullarinda Farkli Ekim Zamanlarinin Nohut (Cicer arietinum L.) Bitkisinde verim, verim unsurlari ve kalite üzerine etkileri” LINK

“Seed composition of different Camelina sativa and Crambe abyssinica cultivars” 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





Spectroscopy and Chemometrics News Weekly #26, 2019

CalibrationModel.com

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

Spectroscopy and Chemometrics News Weekly 25, 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 25, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer Sensoren Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Qualitätslabor LINK

Spettroscopia e Chemiometria Weekly News 25, 2019 | NIRS NIR Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem prediction models LINK




Chemometrics

“X-ray fluorescence and visible near infrared sensor fusion for predicting soil chromium content” LINK

“Staling of white wheat bread crumb and effect of maltogenic a-amylases. Part 2: Monitoring the staling process by using near infrared spectroscopy and chemometrics” LINK

“Rapid and Nondestructive Quantification of Trimethylamine by FT-NIR Coupled with Chemometric Techniques” Fish quality LINK

“Prediction of yerba mate caffeine content using near infrared spectroscopy” LINK

“Journal Highlight: A new flow cell and chemometric protocol for implementing inline Raman spectroscopy in chromatography” LINK

Teaching Machine Learning at the moment and a student asks whether “PCA” stands for “Pretty Cool Algorithm” after I apparently used that phrase… That should really have been deliberate (it wasn’t). I will never use “Principal Component Analysis” again. PrettyCoolAlgorithm LINK

“A screening method based on Visible-NIR spectroscopy for the identification and quantification of different adulterants in high-quality honey.” LINK

“Chemometric studies of the effects of milk fat replacement with different proportions of vegetable oils in the formulation of fat-filled milk powders: Implications for quality assurance.” LINK

“Comparison of Bayesian and partial least squares regression methods for mid-infrared prediction of cheese-making properties in Montbéliarde cows” LINK

“NIR model transfer of alkali-soluble polysaccharides in Poria cocos with piecewise direct standardization” LINK

“Comparison of three different classification methods performance for the determination of biofuel quality by means of NIR spectroscopy” LINK

“Application of hierarchical classification models and reliability estimation by bootstrapping, for authentication and discrimination of wine vinegars by UV-vis spectroscopy” LINK

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

“Determination of Adulteration Content in Extra Virgin Olive Oil Using FT-NIR Spectroscopy Combined with the BOSSPLS Algorithm” LINK




Near Infrared

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

“Nondestructive detection of rape leaf chlorophyll level based on Vis-NIR spectroscopy.” LINK

“High-throughput analysis of leaf physiological and chemical traits with VIS–NIR–SWIR spectroscopy: a case study with a maize diversity panel” | New phenomics paper from Ge, Schnable, Sigmon and Yang labs of & LINK

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

“Estimating dry matter and fat content in blocks of Swiss cheese during production using on-line near infrared spectroscopy” LINK

“Temperature-dependent near-infrared spectroscopy for studying the interactions in protein aqueous solutions” LINK

” 滑皮金桔糖度的近红外光谱无损检测技术.” “Non-destructive testing technology of sugar content in Huapikumquat by near infrared spectroscopy” LINK

“Grading and Sorting of Grape Berries Using Visible-Near Infrared Spectroscopy on the Basis of Multiple Inner Quality Parameters” LINK

“Modified silver nanoparticles enhanced single drop micro extraction of tartrazine in food samples coupled with diffuse reflectance Fourier transform infrared spectroscopic analysis” LINK

“Multicolor lanthanide-doped CaS and SrS near-infrared stimulated luminescent nanoparticles with bright emission: application in broad-spectrum lighting, information coding, and bio-imaging.” LINK

“The use of mid-infrared spectra to map genes affecting milk composition” |(19)30485-0/fulltext?rss=yes LINK




Raman

“Semi-Automated Heavy-Mineral Analysis by Raman Spectroscopy” Minerals LINK




Hyperspectral

“Discrimination of astringent and deastringed hard Rojo Brillante persimmon fruit using a sensory threshold by means of hyperspectral imaging” LINK

“Remote Sensing, Vol. 11, Pages 1485: Tensor Based Multiscale Low Rank Decomposition for Hyperspectral Images Dimensionality Reduction” LINK




Agriculture

“Applied Sciences, Vol. 9, Pages 2472: Comparison of Raman and Mid-Infrared Spectroscopy for Real-Time Monitoring of Yeast Fermentations: A Proof-of-Concept for Multi-Channel Photometric Sensors” LINK

“Agronomy, Vol. 9, Pages 293: Field Spectroscopy to Determine Nutritive Value Parameters of Individual Ryegrass Plants” LINK




Pharma

“Quantification of Inkjet-Printed Pharmaceuticals on Porous Substrates Using Raman Spectroscopy and Near-Infrared Spectroscopy” LINK




Laboratory

“Adapted-Consumer-Technology Approach to Making Near-Infrared-Reflectography Visualization of Paintings and Murals Accessible to a Wider Audience” – Journal of Chemical Education 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
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    =>
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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)
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    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