Spectroscopy and Chemometrics/Machine-Learning News Weekly #24, 2022Spektroskopie und Chemometrie/Machine-Learning News Wöchentlich #24, 2022Spettroscopia e Chemiometria/Machine-Learning Weekly News #24, 2022

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 23, 2022 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK


Near-Infrared Spectroscopy (NIRS)

"Real-Time Defect Inspection of Green Coffee Beans Using NIR Snapshot Hyperspectral Imaging" LINK

"Country of origin label monitoring of musky and common octopuses (Eledone spp. and Octopus vulgaris) by means of a portable near-infrared spectroscopic device" LINK

"Fruit variability impacts puree quality: assessment on individually processed apples using the visible and near infrared spectroscopy" LINK

"Visible-NIR Spectral Characteristics and Grade Inversion Model of Skarn-type Iron Ore" LINK

"Digital Detection of Olive Oil Rancidity Levels and Aroma Profiles Using Near-Infrared Spectroscopy, a Low-Cost Electronic Nose and Machine Learning Modelling" LINK

"Qualitative classification of Dendrobium huoshanense (Feng dou) using fast non-destructive hand-held near infrared spectroscopy" LINK

"A stacked regression ensemble approach for the quantitative determination of biomass feedstock compositions using near infrared spectroscopy" LINK

"APPLICATION OF NEAR INFRARED SPECTROSCOPY COMBINED WITH MULTIVARIATE ANALYSIS FOR SCREENING FOLIAR MAIN ESSENTIAL OIL ..." LINK

"Near-Infrared Transflectance Spectroscopy Discriminates Solutions Containing Two Commercial Formulations of Botulinum Toxin Type A Diluted at Recommended ..." LINK

"... of the column chromatographic process of Phellodendri Chinensis Cortex Part I: End-point determination based on near-infrared spectroscopy combined with machine ..." | LINK

"NIR-Based Intelligent Sensing of Product Yield Stress for High-Value Bioresorbable Polymer Processing" LINK

"Measurement of water-holding capacity in fermented milk using near-infrared spectroscopy combined with chemometric methods" LINK

"Fighting Fake Medicines" by | fake medicines pills falsified medicines fakemedicines fakedrugs fakepills illicit drugs digitaltechnology NIRS LINK

"Quantitative assessment of wheat quality using near-infrared spectroscopy: A comprehensive review" | LINK

"Rapid detection of adulteration of glutinous rice as raw material of Shaoxing Huangjiu (Chinese Rice Wine) by near infrared spectroscopy combined with chemometrics" LINK

"On-site illicit-drug detection with an integrated near-infrared spectral sensor: A proof of concept" LINK

"Effects of degraded speech processing and binaural unmasking investigated using functional near-infrared spectroscopy (fNIRS)" | LINK

"Qualitative analysis of post-consumer and post-industrial waste via near-infrared, visual and induction identification with experimental sensor-based sorting setup" | LINK

"Blended fabric with integrated neural network based on attention mechanism qualitative identification method of near infrared spectroscopy" LINK

"Deep learning-based motion artifact removal in functional near-infrared spectroscopy" | LINK

"Rapid identification of the geographic origin of Taiping Houkui green tea using near-infrared spectroscopy combined with a variable selection method" LINK

"Rapid Nondestructive Detection Enabled by an UltraBroadband NIR pcLED" LINK




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

"Determination of Dangshan Pear Pollen Vitality Using Near-Infrared Spectroscopy" LINK

"Green tea grades identification via Fourier transform nearinfrared spectroscopy and weighted global fuzzy uncorrelated discriminant transform" LINK

"Physicochemical Properties and Detection of Glucose Syrup Adulterated Kelulut (Heterotrigona Itama) Honey Using Near‐Infrared Spectroscopy" LINK

"Reorganization of prefrontal network in stroke patients with dyskinesias: evidence from restingstate functional nearinfrared spectroscopy" LINK

"Oral lichen planus identification by mid-infrared spectroscopy of oral biofluids: a case-control study" LINK




Hyperspectral Imaging (HSI)

"Plant Species Classification Based on Hyperspectral Imaging via a Lightweight Convolutional Neural Network Model" | LINK

"Sensors : Differentiation of Livestock Internal Organs Using Visible and Short-Wave Infrared Hyperspectral Imaging Sensors" LINK

"Prediction of peanut seed vigor based on hyperspectral images" LINK

"Agriculture : Green Banana Maturity Classification and Quality Evaluation Using Hyperspectral Imaging" LINK

"Detecting aggressive papillary thyroid carcinoma using hyperspectral imaging and radiomic features" | LINK




Chemometrics and Machine Learning

"Modeling Method and Miniaturized Wavelength Strategy for Near-infrared Spectroscopic Discriminant Analysis of Soy Sauce Brand Identification" LINK

"Improvement of NIR Prediction Ability by Dual Model Optimization in Fusion of NSIA and SA Methods" LINK

"Development of a calibration model for near infrared spectroscopy using a convolutional neural network" LINK

"Foods : Rapid Detection of Carbendazim Residue in Apple Using Surface-Enhanced Raman Scattering and Coupled Chemometric Algorithm" LINK

"Biosensors : Benchmarking Spectroscopic Techniques Combined with Machine Learning to Study Oak Barrels for Wine Ageing" LINK

"Agronomy : Estimation of Winter Wheat Residue Coverage Based on GF-1 Imagery and Machine Learning Algorithm" LINK

"Construction and application of a qualitative and quantitative analysis system of three boscalid polymorphs based on solid-state analytical methods and chemometric tools" LINK

"Discrimination and source correspondence of black gel inks using Raman spectroscopy and chemometric analysis with UMAP and PLS-DA" LINK




Optics for Spectroscopy

"Recent Advances in Luminescent Downconversion: New Materials, Techniques, and Applications in Solar Cells" LINK




Facts

"Ordered structures in liquid water: Is cold water a genuine liquid?" LINK




Environment NIR-Spectroscopy Application

"Evaluation of Two Portable Hyperspectral-Sensor-Based Instruments to Predict Key Soil Properties in Canadian Soils" LINK

"Genetic dissection of seed characteristics in field pennycress via genome-wide association mapping studies" | LINK

"Remote Sensing : Retrieval of Chlorophyll-a Concentrations of Class II Water Bodies of Inland Lakes and Reservoirs Based on ZY1-02D Satellite Hyperspectral Data" LINK

"Boron Imidazolate FrameworkDerived Porous Carbon Nanospheres for DualMode BioimagingGuided Photothermal/Sonodynamic Synergistic Cancer Therapy" LINK




Agriculture NIR-Spectroscopy Usage

"Estimation of forage quality by near infrared reflectance spectroscopy in dallisgrass, Paspalum dilatatum, poir" LINK

"Performance of open-path lasers and Fourier transform infrared spectroscopic systems in agriculture emissions research" LINK

"Plants : Sucrose Synthase and Fructokinase Are Required for Proper Meristematic and Vascular Development" LINK

"Genetic variation for seed storage protein composition in rapeseed (Brassica napus) and development of nearinfrared reflectance spectroscopy calibration equations" LINK

"Synthesis, Characterization and Antibacterial Activity of Ag‐TiO2‐Fe Composite Thin Films" LINK




Horticulture NIR-Spectroscopy Applications

"Foods : Consensual Regression of Soluble Solids Content in Peach by Near Infrared Spectrocopy" LINK




Forestry and Wood Industry NIR Usage

"Molecules : Chemical Diversity and Potential Target Network of Woody Peony Flower Essential Oil from Eleven Representative Cultivars (Paeonia × suffruticosa Andr.)" LINK




Food & Feed Industry NIR Usage

"Discrimination of centre composition in panned chocolate goods using nearinfrared spectroscopy" LINK

"Response of N2O emissions to N fertilizer reduction combined with biochar application in a rain-fed winter wheat ecosystem" LINK

"Quantitative detection of talcum powder in wheat flour based on near-infrared spectroscopy and hybrid feature selection" LINK

"Foods : Characterization and Discrimination of Italian Olive (Olea europaea sativa) Cultivars by Production Area Using Different Analytical Methods Combined with Chemometric Analysis" LINK




Pharma Industry NIR Usage

"Detection of low numbers of bacterial cells in pharmaceutical drug product using Raman Spectroscopy and PLS-DA multivariate analysis" LINK




Other

"On honey authentication and adulterant detection techniques" LINK

"Intensifying upconverted ultraviolet emission towards efficient reactive oxygen species generation" LINK

"Optical frequency comb Fourier transform cavity ring-down spectroscopy" LINK

"Novel Approaches and Cognitive Neuroscience Perspectives on False Memory and Deception" | LINK

"Investigation of structural and optical properties of lithium lead bismuth silicate glasses" | LINK





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NIR Calibration-Model Services

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 23, 2022 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK


Near-Infrared Spectroscopy (NIRS)

"Real-Time Defect Inspection of Green Coffee Beans Using NIR Snapshot Hyperspectral Imaging" LINK

"Country of origin label monitoring of musky and common octopuses (Eledone spp. and Octopus vulgaris) by means of a portable near-infrared spectroscopic device" LINK

"Fruit variability impacts puree quality: assessment on individually processed apples using the visible and near infrared spectroscopy" LINK

"Visible-NIR Spectral Characteristics and Grade Inversion Model of Skarn-type Iron Ore" LINK

"Digital Detection of Olive Oil Rancidity Levels and Aroma Profiles Using Near-Infrared Spectroscopy, a Low-Cost Electronic Nose and Machine Learning Modelling" LINK

"Qualitative classification of Dendrobium huoshanense (Feng dou) using fast non-destructive hand-held near infrared spectroscopy" LINK

"A stacked regression ensemble approach for the quantitative determination of biomass feedstock compositions using near infrared spectroscopy" LINK

"APPLICATION OF NEAR INFRARED SPECTROSCOPY COMBINED WITH MULTIVARIATE ANALYSIS FOR SCREENING FOLIAR MAIN ESSENTIAL OIL ..." LINK

"Near-Infrared Transflectance Spectroscopy Discriminates Solutions Containing Two Commercial Formulations of Botulinum Toxin Type A Diluted at Recommended ..." LINK

"... of the column chromatographic process of Phellodendri Chinensis Cortex Part I: End-point determination based on near-infrared spectroscopy combined with machine ..." | LINK

"NIR-Based Intelligent Sensing of Product Yield Stress for High-Value Bioresorbable Polymer Processing" LINK

"Measurement of water-holding capacity in fermented milk using near-infrared spectroscopy combined with chemometric methods" LINK

"Fighting Fake Medicines" by | fake medicines pills falsified medicines fakemedicines fakedrugs fakepills illicit drugs digitaltechnology NIRS LINK

"Quantitative assessment of wheat quality using near-infrared spectroscopy: A comprehensive review" | LINK

"Rapid detection of adulteration of glutinous rice as raw material of Shaoxing Huangjiu (Chinese Rice Wine) by near infrared spectroscopy combined with chemometrics" LINK

"On-site illicit-drug detection with an integrated near-infrared spectral sensor: A proof of concept" LINK

"Effects of degraded speech processing and binaural unmasking investigated using functional near-infrared spectroscopy (fNIRS)" | LINK

"Qualitative analysis of post-consumer and post-industrial waste via near-infrared, visual and induction identification with experimental sensor-based sorting setup" | LINK

"Blended fabric with integrated neural network based on attention mechanism qualitative identification method of near infrared spectroscopy" LINK

"Deep learning-based motion artifact removal in functional near-infrared spectroscopy" | LINK

"Rapid identification of the geographic origin of Taiping Houkui green tea using near-infrared spectroscopy combined with a variable selection method" LINK

"Rapid Nondestructive Detection Enabled by an UltraBroadband NIR pcLED" LINK




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

"Determination of Dangshan Pear Pollen Vitality Using Near-Infrared Spectroscopy" LINK

"Green tea grades identification via Fourier transform nearinfrared spectroscopy and weighted global fuzzy uncorrelated discriminant transform" LINK

"Physicochemical Properties and Detection of Glucose Syrup Adulterated Kelulut (Heterotrigona Itama) Honey Using Near‐Infrared Spectroscopy" LINK

"Reorganization of prefrontal network in stroke patients with dyskinesias: evidence from restingstate functional nearinfrared spectroscopy" LINK

"Oral lichen planus identification by mid-infrared spectroscopy of oral biofluids: a case-control study" LINK




Hyperspectral Imaging (HSI)

"Plant Species Classification Based on Hyperspectral Imaging via a Lightweight Convolutional Neural Network Model" | LINK

"Sensors : Differentiation of Livestock Internal Organs Using Visible and Short-Wave Infrared Hyperspectral Imaging Sensors" LINK

"Prediction of peanut seed vigor based on hyperspectral images" LINK

"Agriculture : Green Banana Maturity Classification and Quality Evaluation Using Hyperspectral Imaging" LINK

"Detecting aggressive papillary thyroid carcinoma using hyperspectral imaging and radiomic features" | LINK




Chemometrics and Machine Learning

"Modeling Method and Miniaturized Wavelength Strategy for Near-infrared Spectroscopic Discriminant Analysis of Soy Sauce Brand Identification" LINK

"Improvement of NIR Prediction Ability by Dual Model Optimization in Fusion of NSIA and SA Methods" LINK

"Development of a calibration model for near infrared spectroscopy using a convolutional neural network" LINK

"Foods : Rapid Detection of Carbendazim Residue in Apple Using Surface-Enhanced Raman Scattering and Coupled Chemometric Algorithm" LINK

"Biosensors : Benchmarking Spectroscopic Techniques Combined with Machine Learning to Study Oak Barrels for Wine Ageing" LINK

"Agronomy : Estimation of Winter Wheat Residue Coverage Based on GF-1 Imagery and Machine Learning Algorithm" LINK

"Construction and application of a qualitative and quantitative analysis system of three boscalid polymorphs based on solid-state analytical methods and chemometric tools" LINK

"Discrimination and source correspondence of black gel inks using Raman spectroscopy and chemometric analysis with UMAP and PLS-DA" LINK




Optics for Spectroscopy

"Recent Advances in Luminescent Downconversion: New Materials, Techniques, and Applications in Solar Cells" LINK




Facts

"Ordered structures in liquid water: Is cold water a genuine liquid?" LINK




Environment NIR-Spectroscopy Application

"Evaluation of Two Portable Hyperspectral-Sensor-Based Instruments to Predict Key Soil Properties in Canadian Soils" LINK

"Genetic dissection of seed characteristics in field pennycress via genome-wide association mapping studies" | LINK

"Remote Sensing : Retrieval of Chlorophyll-a Concentrations of Class II Water Bodies of Inland Lakes and Reservoirs Based on ZY1-02D Satellite Hyperspectral Data" LINK

"Boron Imidazolate FrameworkDerived Porous Carbon Nanospheres for DualMode BioimagingGuided Photothermal/Sonodynamic Synergistic Cancer Therapy" LINK




Agriculture NIR-Spectroscopy Usage

"Estimation of forage quality by near infrared reflectance spectroscopy in dallisgrass, Paspalum dilatatum, poir" LINK

"Performance of open-path lasers and Fourier transform infrared spectroscopic systems in agriculture emissions research" LINK

"Plants : Sucrose Synthase and Fructokinase Are Required for Proper Meristematic and Vascular Development" LINK

"Genetic variation for seed storage protein composition in rapeseed (Brassica napus) and development of nearinfrared reflectance spectroscopy calibration equations" LINK

"Synthesis, Characterization and Antibacterial Activity of Ag‐TiO2‐Fe Composite Thin Films" LINK




Horticulture NIR-Spectroscopy Applications

"Foods : Consensual Regression of Soluble Solids Content in Peach by Near Infrared Spectrocopy" LINK




Forestry and Wood Industry NIR Usage

"Molecules : Chemical Diversity and Potential Target Network of Woody Peony Flower Essential Oil from Eleven Representative Cultivars (Paeonia × suffruticosa Andr.)" LINK




Food & Feed Industry NIR Usage

"Discrimination of centre composition in panned chocolate goods using nearinfrared spectroscopy" LINK

"Response of N2O emissions to N fertilizer reduction combined with biochar application in a rain-fed winter wheat ecosystem" LINK

"Quantitative detection of talcum powder in wheat flour based on near-infrared spectroscopy and hybrid feature selection" LINK

"Foods : Characterization and Discrimination of Italian Olive (Olea europaea sativa) Cultivars by Production Area Using Different Analytical Methods Combined with Chemometric Analysis" LINK




Pharma Industry NIR Usage

"Detection of low numbers of bacterial cells in pharmaceutical drug product using Raman Spectroscopy and PLS-DA multivariate analysis" LINK




Other

"On honey authentication and adulterant detection techniques" LINK

"Intensifying upconverted ultraviolet emission towards efficient reactive oxygen species generation" LINK

"Optical frequency comb Fourier transform cavity ring-down spectroscopy" LINK

"Novel Approaches and Cognitive Neuroscience Perspectives on False Memory and Deception" | LINK

"Investigation of structural and optical properties of lithium lead bismuth silicate glasses" | LINK





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NIR Calibration-Model Services

Spettroscopia e Chemiometria Weekly News 23, 2022 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK




Near-Infrared Spectroscopy (NIRS)

"Real-Time Defect Inspection of Green Coffee Beans Using NIR Snapshot Hyperspectral Imaging" LINK

"Country of origin label monitoring of musky and common octopuses (Eledone spp. and Octopus vulgaris) by means of a portable near-infrared spectroscopic device" LINK

"Fruit variability impacts puree quality: assessment on individually processed apples using the visible and near infrared spectroscopy" LINK

"Visible-NIR Spectral Characteristics and Grade Inversion Model of Skarn-type Iron Ore" LINK

"Digital Detection of Olive Oil Rancidity Levels and Aroma Profiles Using Near-Infrared Spectroscopy, a Low-Cost Electronic Nose and Machine Learning Modelling" LINK

"Qualitative classification of Dendrobium huoshanense (Feng dou) using fast non-destructive hand-held near infrared spectroscopy" LINK

"A stacked regression ensemble approach for the quantitative determination of biomass feedstock compositions using near infrared spectroscopy" LINK

"APPLICATION OF NEAR INFRARED SPECTROSCOPY COMBINED WITH MULTIVARIATE ANALYSIS FOR SCREENING FOLIAR MAIN ESSENTIAL OIL ..." LINK

"Near-Infrared Transflectance Spectroscopy Discriminates Solutions Containing Two Commercial Formulations of Botulinum Toxin Type A Diluted at Recommended ..." LINK

"... of the column chromatographic process of Phellodendri Chinensis Cortex Part I: End-point determination based on near-infrared spectroscopy combined with machine ..." | LINK

"NIR-Based Intelligent Sensing of Product Yield Stress for High-Value Bioresorbable Polymer Processing" LINK

"Measurement of water-holding capacity in fermented milk using near-infrared spectroscopy combined with chemometric methods" LINK

"Fighting Fake Medicines" by | fake medicines pills falsified medicines fakemedicines fakedrugs fakepills illicit drugs digitaltechnology NIRS LINK

"Quantitative assessment of wheat quality using near-infrared spectroscopy: A comprehensive review" | LINK

"Rapid detection of adulteration of glutinous rice as raw material of Shaoxing Huangjiu (Chinese Rice Wine) by near infrared spectroscopy combined with chemometrics" LINK

"On-site illicit-drug detection with an integrated near-infrared spectral sensor: A proof of concept" LINK

"Effects of degraded speech processing and binaural unmasking investigated using functional near-infrared spectroscopy (fNIRS)" | LINK

"Qualitative analysis of post-consumer and post-industrial waste via near-infrared, visual and induction identification with experimental sensor-based sorting setup" | LINK

"Blended fabric with integrated neural network based on attention mechanism qualitative identification method of near infrared spectroscopy" LINK

"Deep learning-based motion artifact removal in functional near-infrared spectroscopy" | LINK

"Rapid identification of the geographic origin of Taiping Houkui green tea using near-infrared spectroscopy combined with a variable selection method" LINK

"Rapid Nondestructive Detection Enabled by an UltraBroadband NIR pcLED" LINK




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

"Determination of Dangshan Pear Pollen Vitality Using Near-Infrared Spectroscopy" LINK

"Green tea grades identification via Fourier transform nearinfrared spectroscopy and weighted global fuzzy uncorrelated discriminant transform" LINK

"Physicochemical Properties and Detection of Glucose Syrup Adulterated Kelulut (Heterotrigona Itama) Honey Using Near‐Infrared Spectroscopy" LINK

"Reorganization of prefrontal network in stroke patients with dyskinesias: evidence from restingstate functional nearinfrared spectroscopy" LINK

"Oral lichen planus identification by mid-infrared spectroscopy of oral biofluids: a case-control study" LINK




Hyperspectral Imaging (HSI)

"Plant Species Classification Based on Hyperspectral Imaging via a Lightweight Convolutional Neural Network Model" | LINK

"Sensors : Differentiation of Livestock Internal Organs Using Visible and Short-Wave Infrared Hyperspectral Imaging Sensors" LINK

"Prediction of peanut seed vigor based on hyperspectral images" LINK

"Agriculture : Green Banana Maturity Classification and Quality Evaluation Using Hyperspectral Imaging" LINK

"Detecting aggressive papillary thyroid carcinoma using hyperspectral imaging and radiomic features" | LINK




Chemometrics and Machine Learning

"Modeling Method and Miniaturized Wavelength Strategy for Near-infrared Spectroscopic Discriminant Analysis of Soy Sauce Brand Identification" LINK

"Improvement of NIR Prediction Ability by Dual Model Optimization in Fusion of NSIA and SA Methods" LINK

"Development of a calibration model for near infrared spectroscopy using a convolutional neural network" LINK

"Foods : Rapid Detection of Carbendazim Residue in Apple Using Surface-Enhanced Raman Scattering and Coupled Chemometric Algorithm" LINK

"Biosensors : Benchmarking Spectroscopic Techniques Combined with Machine Learning to Study Oak Barrels for Wine Ageing" LINK

"Agronomy : Estimation of Winter Wheat Residue Coverage Based on GF-1 Imagery and Machine Learning Algorithm" LINK

"Construction and application of a qualitative and quantitative analysis system of three boscalid polymorphs based on solid-state analytical methods and chemometric tools" LINK

"Discrimination and source correspondence of black gel inks using Raman spectroscopy and chemometric analysis with UMAP and PLS-DA" LINK




Optics for Spectroscopy

"Recent Advances in Luminescent Downconversion: New Materials, Techniques, and Applications in Solar Cells" LINK




Facts

"Ordered structures in liquid water: Is cold water a genuine liquid?" LINK




Environment NIR-Spectroscopy Application

"Evaluation of Two Portable Hyperspectral-Sensor-Based Instruments to Predict Key Soil Properties in Canadian Soils" LINK

"Genetic dissection of seed characteristics in field pennycress via genome-wide association mapping studies" | LINK

"Remote Sensing : Retrieval of Chlorophyll-a Concentrations of Class II Water Bodies of Inland Lakes and Reservoirs Based on ZY1-02D Satellite Hyperspectral Data" LINK

"Boron Imidazolate FrameworkDerived Porous Carbon Nanospheres for DualMode BioimagingGuided Photothermal/Sonodynamic Synergistic Cancer Therapy" LINK




Agriculture NIR-Spectroscopy Usage

"Estimation of forage quality by near infrared reflectance spectroscopy in dallisgrass, Paspalum dilatatum, poir" LINK

"Performance of open-path lasers and Fourier transform infrared spectroscopic systems in agriculture emissions research" LINK

"Plants : Sucrose Synthase and Fructokinase Are Required for Proper Meristematic and Vascular Development" LINK

"Genetic variation for seed storage protein composition in rapeseed (Brassica napus) and development of nearinfrared reflectance spectroscopy calibration equations" LINK

"Synthesis, Characterization and Antibacterial Activity of Ag‐TiO2‐Fe Composite Thin Films" LINK




Horticulture NIR-Spectroscopy Applications

"Foods : Consensual Regression of Soluble Solids Content in Peach by Near Infrared Spectrocopy" LINK




Forestry and Wood Industry NIR Usage

"Molecules : Chemical Diversity and Potential Target Network of Woody Peony Flower Essential Oil from Eleven Representative Cultivars (Paeonia × suffruticosa Andr.)" LINK




Food & Feed Industry NIR Usage

"Discrimination of centre composition in panned chocolate goods using nearinfrared spectroscopy" LINK

"Response of N2O emissions to N fertilizer reduction combined with biochar application in a rain-fed winter wheat ecosystem" LINK

"Quantitative detection of talcum powder in wheat flour based on near-infrared spectroscopy and hybrid feature selection" LINK

"Foods : Characterization and Discrimination of Italian Olive (Olea europaea sativa) Cultivars by Production Area Using Different Analytical Methods Combined with Chemometric Analysis" LINK




Pharma Industry NIR Usage

"Detection of low numbers of bacterial cells in pharmaceutical drug product using Raman Spectroscopy and PLS-DA multivariate analysis" LINK




Other

"On honey authentication and adulterant detection techniques" LINK

"Intensifying upconverted ultraviolet emission towards efficient reactive oxygen species generation" LINK

"Optical frequency comb Fourier transform cavity ring-down spectroscopy" LINK

"Novel Approaches and Cognitive Neuroscience Perspectives on False Memory and Deception" | LINK

"Investigation of structural and optical properties of lithium lead bismuth silicate glasses" | LINK





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Digitization in the field of NIR spectroscopy (smart sensors)Digitalisierung im Bereich der NIR-Spektroskopie (Smart-Sensors)Digitalizzazione nel campo della spettroscopia NIR (sensori intelligenti)

Digitalization is advancing, also in NIR spectroscopy, which enables trainable miniature smart sensors e.g. for analyses in the food&feed, chemical and pharmaceutical sectors.

The calibration is the core of a NIR spectroscopy sensor, it enables the numerous applications and should therefore not be the weakest link in the measurement chain.

The development of calibrations that turn NIR spectrometers into smart sensors is done manually by experts (NIR specialist, chemometrician, data scientist) with so-called chemometrics software.

This is very time-consuming (time to market) and the result is person-dependent and thus suboptimal, because each expert has his own preferred way of proceeding. In addition, the calibrations have to be maintained, as new data has been collected in the meantime, which can be used to extend and improve the calibrations.

This is where our automated service comes in, combining the knowledge and good practices of NIR spectroscopy and chemometrics collected in one software and using machine learning to generate optimal calibrations.

Based on this, we have developed a complete technology platform (Time to Market) that covers the entire process from sending NIR + Lab data, to NIR Calibration as a Service, from online purchase of calibrations, to NIR Predictor software that directly evaluates newly measured NIR data locally and generates result reports.

Besides the free desktop version with user interface, the NIR Predictor can also be integrated (OEM). This can be integrated in parallel as a complement to your current Predictor, allowing the user to choose how they want to calibrate. And give them the advantage in NIR feasibility studies and NIR spectrometer evaluations to quickly provide the customer with a solid and accurate calibration that will make their NIR system deliver better results.

Advantages for your NIR users (internal or external)
  • no initial costs (no chemometrics software license required),
  • calculable operating costs (fixed amount instead of time and hourly rate) (calibration development, calibration maintenance)
  • easy to use (no chemometrics and software training),
  • quicker to use (no calibration development work) and
  • better calibrations (precision, accuracy, robustness, ...)


Our chargeable service is based on the calibration development and the annual calibration use. Calibration development and calibration use can also be carried out separately (manufacturer / user).

For you as a spectrometer manufacturer, this means that you can deliver your system pre-calibrated for certain applications without incurring software license costs. And without your application specialists having to provide additional calibration services.

The unique advantages of our calibration service together with the free NIR Predictor are:
  • no software license costs (chemometrics software, predictor software, OEM integration)
  • no chemometrics know-how necessary
  • no time needed to develop optimal NIR calibrations.


If interested in using/evaluating the service :

About CalibrationModel.com : Time and knowledge intensive creation and optimization of chemometric evaluation methods for spectrometers as a service to enable more accurate analysis and measurement results.



see also

Paradigm Change in NIR

Five Mistakes to avoid on Digitalization in NIR

NIR - Total cost of ownership (TCO)

OEM / White Label Software

White Paper



Die Digitalisierung schreitet voran, so auch in der NIR-Spektroskopie, die trainierbare miniatur Smart-Sensors ermöglicht z.B. für Analysen im Bereich Food&Feed, Chemie und Pharma.

Die Kalibration ist das Kernstück eines NIR-Spektroskopie Sensors, sie ermöglicht die zahlreichen Applikationen und sollte darum nicht das schwächste Glied in der Messkette sein.

Das Entwickeln von Kalibrationen die NIR-Spektrometer zu Smart-Sensoren macht, wird bis an hin von Experten (NIR-Spezialist, Chemometriker, Data Scientist) manuell gemacht mit sogenannter Chemometrie Software.

Das ist sehr zeitintensiv (Time to Market) und das Ergebnis ist personenabhängig und somit suboptimal, denn jeder Experte hat seine eigene bevorzugte Weise wie er vorgeht. Dazu kommt, dass die Kalibrationen gewartet werden müssen, da in der Zwischenzeit neue Daten gesammelt wurden, die zur Erweiterung und Verbesserung der Kalibrationen genutzt werden kann.

Hier setzt unser automatisierter Service an, der das Wissen und Good-Practices der NIR-Spektroskopie und Chemometrie gesammelt in einer Software vereint und mittels Machine-Learning optimale Kalibrationen erzeugt.

Wir haben darauf aufbauend eine komplette Technologie-Plattform entwickelt (Time to Market), die den ganzen Ablauf vom Senden der NIR + Lab Daten, zu NIR-Kalibration as a Service, vom Online-Kauf der Kalibrationen, bis hin zur NIR-Predictor Software die neu gemessene NIR Daten direkt lokal auswertet und Ergebnis Reports erstellt.

Nebst der freien Desktop Variante mit User Interface kann der NIR-Predictor auch integriert werden (OEM). Das kann parallel als Ergänzung zu ihrem jetzigen Predictor integriert werden und so dem Anwender die Wahl ermöglichen, wie er Kalibrieren möchte. Und ihnen so den Vorteil verschaffen, bei NIR Feasibility Studies und NIR-Spektrometer Evaluationen, dem Kunden rasch eine solide und genaue Kalibration bereitzustellen, die ihr NIR System bessere Ergebnisse liefern lässt.

Vorteile für ihre NIR-Anwender (intern oder extern)
  • keine Initial-Kosten (keine Chemometrie Software Lizenz nötig),
  • kalkulierbare Betriebs Kosten (fix Betrag statt nach Aufwand und Stundensatz) (Kalibrationsentwicklung, Kalibrations-Pflege)
  • einfach Anwendbar (keine Chemometrie- und Software-Trainings),
  • schneller Einsatzbereit (keine Kalibrations-Entwicklungs Arbeit) und
  • bessere Kalibrationen (precision, accuracy, robustness, …)


Unsere kostenpflichtige Serviceleistung beruht auf der Kalibrationsentwicklung und der jährlichen Kalibrationsnutzung. Dabei kann die Kalibrationsentwicklung und Kalibrationsnutzung auch getrennt voneinander (Hersteller / User) erfolgen.

Für Sie als Spektrometer Hersteller kommt so die Möglichkeit hinzu, dass Sie für bestimmte Applikationen ihr System Vorkalibriert ausliefern können, ohne dass Software-Lizenz-Kosten fällig werden. Und ohne dass ihre Applikations-Spezialisten zusätzliche Kalibrationsleistung erbringen müssen.

Die einzigartigen Vorteile unseres Calibrations-Service zusammen mit dem free NIR-Predictor sind:
  • keine Software Lizenz Kosten (Chemometrie Software, Predictor Software, OEM integration)
  • kein Chemometrie Know-How nötig
  • kein Zeitaufwand nötig um optimale NIR-Kalibrationen zu entwickeln.


Bei Interesse zur Nutzung/Evaluation des Services :

Über CalibrationModel.com : Zeit- und Wissens-intensive Erstellung und Optimierung von chemometrischen Auswertemethoden für Spektrometer als Service, um präzisere Analysen- und Messergebnisse zu ermöglichen.



see also

Paradigm Change in NIR

Five Mistakes to avoid on Digitalization in NIR

NIR - Total cost of ownership (TCO)

OEM / White Label Software

White Paper



La digitalizzazione sta progredendo, anche nella spettroscopia NIR, che consente l'uso di sensori intelligenti in miniatura addestrabili, ad esempio per analisi nei settori alimentare e dei mangimi, chimico e farmaceutico.

La calibrazione è il cuore di un sensore di spettroscopia NIR, consente le numerose applicazioni e non dovrebbe quindi essere l'anello più debole della catena di misura.

Lo sviluppo delle calibrazioni che trasformano gli spettrometri NIR in sensori intelligenti viene effettuato manualmente da esperti (specialista NIR, chemiometrista, scienziato dei dati) con il cosiddetto software di chemiometria.

Ciò richiede molto tempo (time to market) e il risultato dipende dalla persona ed è quindi subottimale, perché ogni esperto ha il suo modo di procedere preferito. Inoltre, le calibrazioni devono essere mantenute, poiché nel frattempo sono stati raccolti nuovi dati che possono essere utilizzati per ampliare e migliorare le calibrazioni.

Qui entra in gioco il nostro servizio automatizzato, che combina le conoscenze e le buone pratiche della spettroscopia NIR e della chemiometria in un unico software e genera calibrazioni ottimali mediante l'apprendimento automatico.

Su questa base, abbiamo sviluppato una piattaforma tecnologica completa (Time to Market), che copre l'intero processo dall'invio dei dati NIR + Lab, alla calibrazione NIR come servizio, dall'acquisto online delle calibrazioni, al software NIR Predictor, che valuta direttamente i dati NIR appena misurati a livello locale e genera rapporti sui risultati.

Oltre alla versione desktop gratuita con interfaccia utente, il NIR Predictor può essere integrato (OEM). Questo può essere integrato in parallelo come complemento al vostro Predictor attuale, permettendo all'utente di scegliere come vuole calibrare. Questo vi offre il vantaggio negli studi di fattibilità NIR e nelle valutazioni degli spettrometri NIR per fornire rapidamente al cliente una calibrazione solida e accurata che farà sì che il vostro sistema NIR fornisca risultati migliori.

Vantaggi per i vostri utenti NIR (interni o esterni)
  • nessun costo iniziale (non è necessaria la licenza del software di chemiometria),
  • costi operativi calcolabili (importo fisso anziché tariffa oraria) (sviluppo della taratura, manutenzione della taratura)
  • facile da usare (nessuna chemiometria e formazione software),
  • più veloce da usare (nessun lavoro di sviluppo di calibrazione) e
  • calibrazioni migliori (precisione, accuratezza, robustezza, ...)


Il nostro servizio a pagamento si basa sullo sviluppo della taratura e sull'utilizzo annuale della taratura. Lo sviluppo della taratura e l'uso della taratura possono essere effettuati anche separatamente (produttore/utente).

Per voi, in qualità di produttori di spettrometri, ciò significa che potete fornire il vostro sistema pre-calibrato per determinate applicazioni senza incorrere in costi di licenza del software. E senza che i vostri specialisti delle applicazioni debbano fornire ulteriori servizi di taratura.

I vantaggi unici del nostro servizio di calibrazione insieme al predittore NIR Predictor gratuito sono:
  • nessun costo di licenza software (software di chemiometria, software di previsione, integrazione OEM)
  • non è necessario alcun know-how in chemiometria
  • non c'è bisogno di tempo per sviluppare calibrazioni NIR ottimali.


Se interessati all'uso/valutazione del servizio :

Informazioni su CalibrationModel.com : Creazione e ottimizzazione dei metodi di valutazione chemiometrica per gli spettrometri come servizio per consentire analisi e risultati di misura più precisi.



see also

Paradigm Change in NIR

Five Mistakes to avoid on Digitalization in NIR

NIR - Total cost of ownership (TCO)

OEM / White Label Software

White Paper



How to Develop and use your NIR Calibration Models to get useful ResultsWie Sie Ihre NIR-Kalibriermodelle einfach entwickeln und verwenden und nützliche Ergebnisse erzielenCome sviluppare e utilizzare i modelli di calibrazione NIR in modo semplice e per ottenere risultati utili

1. We transform your NIR+Lab data into ready-to-use calibrations.

2. Just send your calibration-request created with free NIR-Predictor to us.

3. When your calibration is developed and optimized you receive a link to download it.

4. You can use the calibration to predict with free NIR-Predictor as many NIR data files as you like without internet.


NIR Calibration Service explained


Send Your Calibration Request


You don't need...
  • to hesitate to give it a try Send Calibration Request
  • to do it yourself
  • different software from NIR vendors to get results
  • an expensive Chemometric software license
  • the hassle of software protection dongles
  • a training course to how to use the Chemometric software
  • a multivariate data analysis training course
  • all the complex mathematical / statistical / chemometric / machine learning experts know-how
  • to read all the books and papers about it
  • a strong fast computer with expensive graphics cards to calculate and optimize the calibrations
  • to install always changing open source software
  • to programming scripts to automate missing things
  • to believe the myths that's impossible to automatically create good reliable calibrations



Discover what is possible with your NIR+Lab data


1. Wir wandeln Ihre NIR+Lab-Daten in gebrauchsfertige Kalibrierungen um.

2. Senden Sie einfach Ihre mit dem kostenlosen NIR-Prädiktor erstellte Kalibrieranfrage an uns.

3. Wenn Ihre Kalibrierung entwickelt und optimiert ist, erhalten Sie einen Link zum Herunterladen.

4. Mit der Kalibrierung können Sie mit dem kostenlosen NIR-Prädiktor beliebig viele NIR-Datendateien ohne Internet vorhersagen.


NIR Calibration Service erklärt


Ihre Kalibrierungs Anfrage senden


Sie brauchen nicht
  • zu zögern, es auszuprobieren Kalibrierungsanfrage senden
  • es selbst zu tun
  • verschiedene NIR-Anbieter-Software, um Ergebnisse zu erhalten
  • eine teure chemometrische Software-Lizenz
  • der Ärger mit Softwareschutz-Dongles
  • einen Schulungskurs zur Verwendung der Chemometrie-Software
  • einen Schulungskurs über multivariate Datenanalyse
  • das gesamte komplexe Know-how der Experten für mathematisches / statistisches / chemometrisches / maschinelles Lernen
  • alle Bücher und Zeitungen darüber zu lesen
  • einen starken, schnellen Computer mit teuren Grafikkarten zur Berechnung und Optimierung der Kalibrierungen
  • ständig wechselnde Open-Source-Software zu installieren
  • zur Programmierung von Skripten, um fehlende Dinge zu automatisieren
  • den Mythen zu glauben, dass es unmöglich ist, automatisch gute zuverlässige Kalibrierungen zu erstellen



Entdecken Sie, was mit Ihren NIR+Lab-Daten möglich ist


1. Trasformiamo i vostri dati NIR+Lab in calibrazioni pronte all'uso.

2. Basta inviarci la vostra richiesta di calibrazione creata con il NIR-Predictor gratuito.

3. Quando la vostra calibrazione è sviluppata e ottimizzata ricevete un link per scaricarla.

4. È possibile utilizzare la calibrazione per prevedere con NIR-Predictor gratuito tutti i file di dati NIR che si desidera senza internet.


NIR Calibration Service explained


Invia la tua richiesta di calibrazione


Non c'è bisogno di
  • esitare a fare una prova inviare la richiesta di calibrazione
  • per farlo da soli
  • diversi software NIR per ottenere risultati
  • una costosa licenza di software chemometrico
  • il fastidio dei dongle di protezione del software
  • un corso di formazione su come utilizzare il software chemometrico
  • un corso di formazione sull'analisi multivariata dei dati
  • tutto il complesso know-how degli esperti di matematica / statistica / chemiometria / machine learning
  • per leggere tutti i libri e i giornali su di esso
  • un computer forte e veloce con costose schede grafiche per calcolare e ottimizzare le calibrazioni
  • per installare un software open source sempre diverso
  • agli script di programmazione per automatizzare le cose mancanti
  • credere ai miti che è impossibile creare automaticamente buone calibrazioni affidabili



Scoprite cosa è possibile fare con i vostri dati NIR+Lab


Five Mistakes to avoid on Digitalization in NIR-Spectroscopy – that Lab Managers, Executives and CEOs must know!Fünf Fehler, die es bei der Digitalisierung in der NIR-Spektroskopie zu vermeiden gilt – das müssen Labormanager, Führungskräfte und CEOs, wissen!Five Mistakes to avoid on Digitalization in NIR-Spectroscopy – that Lab Managers, Executives and CEOs must know!

The fast and non-destructive NIR-Spectroscopy analysis method is based on predictive models that are built upon spectral and Lab reference data.

Developing such models with Chemometric techniques or Machine Learning Algorithms can now be fully automatized with many advantages.

If your company uses NIR-Spectroscopy, do you know if your company yet tried this calibration service? And if not, why not?

Here are some possible reasons why such services are blocked in your company.

With the knowledge where and why it may be blocked, you are able to overcome the barriers and go for innovation.

Misbeliefs of People that may block Advanced Services (AI and Automatic Machine Learning)


5 Mistakes to avoid on Digitalization in NIR-Spectroscopy
Misbeliefs People Remove barriers
1 You need to program or scripting with data modeling tools (R, Phyton, TensorFlow, Matlab, sas, SPSS, H2O, scikit, .....) The opinion that only PhD (statisticians, data scientists) are smart enough to create models. Give the service a try, and compare! There are free trials for calibration development.
2 We have done it always manually by hand. We must see the plots and interpret the stats in every step.
Job protectionism : “My job will dramatically change if that will work, so I will never prepare real-life data to give someone a possibility to try such a service.”
AI / ML haters (NIR-Specialists, NIR-Experts) don't belive in automated calibration. Give the service a try, and compare! You will see plots and stats! There are free trials for calibration development.
3 Against any new hardware, software or service because of supposed new problems. Preserving ones - the permission gate keepers (IT) Give it a try, without an account, download the free NIR-Predictor software (full version, no limitations) with included demo data, it installs and runs without Administrator priviledge!
4 Ensures that new methodologies follow the rules. Any new thing will give extra work for them. Compliance and Regulation officers. Get access to the detailed model blueprint (ISO 12099) - there is no vendor lock-in or black-box model. You can even anonymize your data for Knowledge Protection - see JCAMP-Anonymizer.
5 Our employees are open for new things. Our employees do not block. Managers, executives, board level. Remove the Barriers to Innovation!


Start Calibrate

Die schnelle und zerstörungsfreie Analysemethode der NIR-Spektroskopie basiert auf prädiktiven Modellen, die auf Spektral- und Laborreferenzdaten basieren.

Die Entwicklung solcher Modelle mit chemometrischen Techniken oder Machine Learning Algorithmen kann nun mit vielen Vorteilen voll automatisiert werden.

Wenn Ihr Unternehmen NIR-Spektroskopie einsetzt, wissen Sie ob Ihr Unternehmen bereits diesen Kalibrierdienst in Anspruch genommen hat? Und wenn nicht, warum nicht?

Hier sind einige mögliche Gründe, warum solche Dienste in Unternehmen blockiert werden.

Mit dem Wissen, wo und warum es blockiert werden kann, sind Sie in der Lage, die Barrieren zu überwinden und Innovationen voranzutreiben.

Irrtümer von Personen, die Advanced Services blockieren könnten (KI und Automatic Machine Learning)


5 Mistakes to avoid on Digitalization in NIR-Spectroscopy
Irrtümer Personen Barrieren beseitigen
1 Man muss mit Datenmodellierungswerkzeugen programmieren oder skripten (R, Phyton, TensorFlow, Matlab, sas, SPSS, H2O, scikit,.......). Die Meinung dass nur Studierte (Statistiker, Data Scientists) klug genug sind, um Modelle zu erstellen. Probiere den Service aus und vergleiche! Es gibt kostenlose Tests für die Kalibrationsentwicklung.
2 Wir haben es immer manuell von Hand gemacht. Wir müssen die Diagramme sehen und die Statistiken in jedem Schritt interpretieren. Arbeitsplatzprotektionismus. "Mein Job wird sich dramatisch ändern, wenn das funktioniert, also werde ich niemals reale Daten vorbereiten, um jemandem die Möglichkeit zu geben, einen solchen Service auszuprobieren." KI / ML-Hasser (NIR-Spezialisten, NIR-Experten) glauben nicht an eine automatisierte Kalibrierung. Probiere den Service aus und vergleichen! Du wirst Diagramme und Statistiken sehen! Es gibt kostenlose Tests für die Kalibrationsentwicklung.
3 Gegen jede neue Hardware, Software oder Dienstleistung wegen angeblich neuer Probleme. Bewahrer - die Berechtigungstorwärter (IT) Probiere es aus, ohne Account, lade die kostenlose NIR-Predictor Software (Vollversion, ohne Einschränkungen) mit enthaltenen Demo-Daten herunter, sie installiert und läuft ohne Administratorrechte!
4 Stellt sicher, dass neue Methoden den Regeln folgen. Jede neue Sache wird ihnen zusätzliche Arbeit geben. Compliance- und Regulierungsbeauftragte Sie können Zugang zum detaillierten Modellplan (ISO 12099) erhalten - es gibt kein Vendor Lock-in- oder Black-Box-Modell. Sie können Ihre Daten sogar für den Wissensschutz anonymisieren - siehe JCAMP-Anonymizer.
5 Unsere Mitarbeiter sind offen für Neues. Unsere Mitarbeiter blockieren nicht. Manager, Führungskräfte, Vorstandsebene Beseitigen Sie die Innovationsbarrieren!


Start Calibrate

The fast and non-destructive NIR-Spectroscopy analysis method is based on predictive models that are built upon spectral and Lab reference data.

Developing such models with Chemometric techniques or Machine Learning Algorithms can now be fully automatized with many advantages.

If your company uses NIR-Spectroscopy, do you know if your company yet tried this calibration service? And if not, why not?

Here are some possible reasons why such services are blocked in your company.

With the knowledge where and why it may be blocked, you are able to overcome the barriers and go for innovation.

Misbeliefs of People that may block Advanced Services (AI and Automatic Machine Learning)


5 Mistakes to avoid on Digitalization in NIR-Spectroscopy
Misbeliefs People Remove barriers
1 You need to program or scripting with data modeling tools (R, Phyton, TensorFlow, Matlab, sas, SPSS, H2O, scikit, .....) The opinion that only PhD (statisticians, data scientists) are smart enough to create models. Give the service a try, and compare! There are free trials for calibration development.
2 We have done it always manually by hand. We must see the plots and interpret the stats in every step.
Job protectionism : “My job will dramatically change if that will work, so I will never prepare real-life data to give someone a possibility to try such a service.”
AI / ML haters (NIR-Specialists, NIR-Experts) don't belive in automated calibration. Give the service a try, and compare! You will see plots and stats! There are free trials for calibration development.
3 Against any new hardware, software or service because of supposed new problems. Preserving ones - the permission gate keepers (IT) Give it a try, without an account, download the free NIR-Predictor software (full version, no limitations) with included demo data, it installs and runs without Administrator priviledge!
4 Ensures that new methodologies follow the rules. Any new thing will give extra work for them. Compliance and Regulation officers. Get access to the detailed model blueprint (ISO 12099) - there is no vendor lock-in or black-box model. You can even anonymize your data for Knowledge Protection - see JCAMP-Anonymizer.
5 Our employees are open for new things. Our employees do not block. Managers, executives, board level. Remove the Barriers to Innovation!


Start Calibrate

Cost comparison / Price comparison of Chemometrics / Machine Learning / Data Science for NIR-SpectroscopyKostenvergleich / Preisvergleich von Chemometrie / Maschinelles Lernen / Data Science für die NIR-SpektroskopieConfronto dei costi / Confronto dei prezzi della chemiometria / Apprendimento automatico / Scienza dei dati per la spettroscopia NIR

Reduce Operating Costs and Total Cost of Ownership (TCO) of NIR-Spectroscopy (NIRS) in the Digitalization Age.
NIR-Spectroscopy (NIRS) - Reduce cost, Increase revenue
Reduce Cost by automated NIR development.
Increase Revenue by higher accuracy NIR results.


CalibrationModel.com (CM) versus Others

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

CM fix € pricing (approx.) 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 Reduce Operating Costs and Total Cost of Ownership (TCO) of NIR-Spectroscopy (NIRS) in the Digitalization Age.
NIR-Spectroscopy (NIRS) - Reduce cost, Increase revenue
Reduce Cost by automated NIR development.
Increase Revenue by higher accuracy NIR results.


CalibrationModel.com (CM) versus Others

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

CM fix € pricing (approx.) 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 Reduce Operating Costs and Total Cost of Ownership (TCO) of NIR-Spectroscopy (NIRS) in the Digitalization Age.
NIR-Spectroscopy (NIRS) - Reduce cost, Increase revenue
Reduce Cost by automated NIR development.
Increase Revenue by higher accuracy NIR results.


CalibrationModel.com (CM) versus Others

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

CM fix € pricing (approx.) 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

Professional Development of NIR‑Spectroscopic Chemometric Calibration Models as a ServiceProfessionelle Entwicklung von NIR‑spektroskopischen chemometrischen Kalibrations Modellen als DienstleistungSviluppo professionale di modelli chemiometrici di calibrazione chemiometrica NIR‑spettroscopica come servizio

In a nutshell (TL;DR) : spectroscopy calibration service and for which users is it suitable?



From your NIR + Lab data, we develop optimal NIR-Calibrations for you.
  • For any NIR spectrometer.
  • You don't need a Chemometric or Math software!
It's Your Data and Your Calibration.
  • You can anonymize your NIR + Lab data before sending.
  • We delete your NIR + Lab data after processing.
  • Only you get download access to your Calibrations.
Download the Calibrations.
  • You can see the Calibrations performance statistics.
  • You can try the Calibrations before you buy.
  • Fix cost per Calibration development and use. Paid on download.
Use the free NIR-Predictor Software tooling to
  • Check which of your NIR Spectral Data Formats is supported.
  • Combine your NIR + Lab data and create your Calibration Request.
  • Use your Calibrations to create Analysis Reports from new NIR data of measured samples.


For all NIR Spectrometers.

Use our included free NIR-Predictor software to create results!
Now new with native File Format support of mobile NIR instruments!

With the NIR-Predictor software,
you can use your NIRS calibration files locally and offline.

That means you can predict as much NIR data as you want,
at full speed without waiting at no extra cost
(it's NOT a cloud prediction where you pay per result).

The NIR-Predictor shows which samples should be sent to the laboratory for reference analysis in order to complete the data for the next calibration.
This minimizes the laboratory effort and further costs. This is based on the fact that sample spectra that are foreign to the calibration are marked as outliers in the prediction report generated by the NIR-Predictor. This way, these samples can be analyzed in the laboratory and used to enhance the NIR + Lab data.


You don't need a Chemometric Software.

NIR Calibration Service explained

See detailed Price List


Start Calibrate


Benefit

It Enables

Videos


WHAT

WHY

HOW

Our Knowhow

Why you can Trust us

  • Try before you buy with : free NIR-Predictor software included
  • Off-line predictions with NIR-Predictor, your data will not go into the cloud.
  • Data Privacy :
    General Data Protection Regulation (GDPR)
    Datenschutz-Grundverordnung (DSGVO)
  • We delete your data after processing : Terms of Service
  • Optionally data can be anonymized : Anonymizer Software
  • Swiss Quality Service and Software made in Switzerland
          
What our service provides is also known as:
  • NIR chemometric analytical method development
  • NIR chemometric analysis method development
  • NIR Spectrometric analytical method development
  • NIR Spectroscopic analytical method development
  • NIR spectrometry analytical method development
  • NIR spectrometry analysis method development
  • NIR Spectroscopic Analysis Methods Development
  • NIR spectral analysis methods development
  • NIR Spectrometry Analysis Methods Development
  • NIR Spectroscopy Analysis Methods Creation
  • Development of chemometric analysis methods in the NIR range
  • Development of chemometric analysis methods in the NIRS range
  • NIR Spectrometric analytical method development
  • NIR Spectrometric Analysis Method Development
  • NIRS Spectroscopic Analysis Method Development
  • NIR Development of spectroscopic analysis methods
  • Development of analytical methods of NIR spectrometry
  • NIR spectrometry analysis method development
Zusammenfassung : Was ist ein NIR Spektroskopie Kalibrierungs Service und für welche Anwender ist er geeignet?



Aus Ihren NIR + Labordaten entwickeln wir für Sie optimale NIR-Kalibrierungen.
  • Für jedes NIR-Spektrometer.
  • Sie benötigen keine chemometrische oder mathematische Software!
Es sind Ihre Daten und Ihre Kalibrierung.
  • Sie können Ihre NIR- und Labordaten vor dem Senden anonymisieren.
  • Wir löschen Ihre NIR- und Labordaten nach der Verarbeitung.
  • Nur Sie erhalten Download Zugang zu Ihren Kalibrierungen.
Download der Kalibrierungen.
  • Sie können die Leistungsstatistik der Kalibrierungen sehen.
  • Sie können die Kalibrierungen vor dem Kauf ausprobieren.
  • Fixkosten pro Kalibrierungsentwicklung und -nutzung. Bezahlt beim Herunterladen.
Nutzen Sie die kostenlose NIR-Prädikator-Software zu
  • Prüfen Sie, welches Ihrer NIR-Spektraldatenformate unterstützt wird.
  • Kombinieren Sie Ihre NIR- und Labordaten und erstellen Sie Ihre Kalibrieranforderung.
  • Verwenden Sie Ihre Kalibrierungen, um Analyseberichte aus neuen NIR-Daten gemessener Proben zu erstellen.


Für alle NIR-Spektrometer.

Verwenden Sie unsere kostenlose NIR-Predictor Software um Ergebnisse zu erzeugen!
Jetzt neu mit native File Format unterstützung von mobile NIR Instrumenten!

Mit der NIR-Predictor-Software können Sie Ihre NIRS-Kalibrierungsdateien lokal und offline verwenden.

Das heißt, Sie können so viele NIR-Daten vorhersagen, wie Sie wollen,
bei voller Geschwindigkeit, ohne zu warten und ohne zusätzliche Kosten
(es handelt sich NICHT um eine Cloud Vorhersage, bei der Sie pro Ergebnis bezahlen).

Der NIR-Predictor zeigt auf, welche Samples zur Referenz Analytik ins Labor sollten, um die Daten für die nächste Kalibrierung zu vervollständigen.
Das minimiert den Labor Aufwand und weitere Kosten. Dies basiert darauf, dass der Kalibration fremde Sample Spektren als Outlier markiert werden im Predcition Report das der NIR-Predictor erzeugt. So können diese Sample im Labor genau analysiert werden und zur Erweiterung der NIR + Lab Daten herangezogen werden.


Sie benötigen KEINE chemometrische Software.

NIR Calibration Service erklärt

Siehe detaillierte Preisliste


Kalibrierung starten


Vorteil

Es ermöglicht

  • Quantitative Analyse von Konzentrationen und Inhaltsstoffen mittels NIR-Spektroskopie (NIR Messung ist schnell, harmlos, zerstörungsfrei und miniaturisiert)
  • Chemometrische Kalibrierung und Analyse für die NIR-Spektroskopie leicht gemacht
  • NIR-Kalibrierungsoptimierung und Vorhersagemodelle anwenden
  • Einsatz von NIR-Spektrometern mit Kalibrierkurven/Gleichungen
  • NIR-Methoden-Entwicklungs-Service für Labore und NIR-Anbieter (OEM)
Videos


Was

Warum

Wie

Unser Know-how

Warum Sie uns vertrauen können

  • Probieren Sie es aus, bevor Sie kaufen : NIR-Predictor Software im Lieferumfang enthalten.
  • Offline Prediction mit NIR-Predictor, Ihre Daten gehen nicht in die Cloud.
  • Datenschutz :
    General Data Protection Regulation (GDPR)
    Datenschutz-Grundverordnung (DSGVO)
  • Wir löschen Ihre Daten nach der Verarbeitung : Nutzungsbedingungen
  • Optional können Daten anonymisiert werden : Anonymisierer Software
  • Schweizer Qualitätsservice und Software made in Switzerland
          
Was unser Service bietet, wird auch bezeichnet als:
  • NIR Spektroskopische Analysen Methoden Entwicklung
  • NIR Spektral Analysen Methoden Entwicklung
  • NIR Spektrometrie Analysen Methoden Entwicklung
  • NIR Spektroskopie Analysen Methoden Entwicklung
  • NIR Spektroskopie Analysen Methoden Erstellung
  • Entwicklung chemometrischer Analysemethoden im NIR-Bereich
  • Entwicklung chemometrischer Analysemethoden im NIRS-Bereich
  • NIR Spektrometrische analytische Methodenentwicklung
  • NIR Spektrometrische Analysemethoden-Entwicklung
  • NIR Spektroskopische Analyse Methodenentwicklung
  • NIR Entwicklung spektroskopischer Analysemethoden
  • Entwicklung analytischer Methoden der NIR-Spektrometrie
  • NIR-Spektrometrie-Analysemethodenentwicklung
In poche parole (TL;DR) : Cos'è un servizio di calibrazione della spettroscopia NIR e per quali utenti è adatto?



Dai vostri dati NIR + Lab sviluppiamo per voi le calibrazioni NIR ottimali.
  • Per qualsiasi spettrometro NIR.
  • Non hai bisogno di un software chemometrico o matematico!
Sono i tuoi dati e la tua calibrazione.
  • Puoi anonimizzare i tuoi dati NIR + Lab prima di inviare.
  • Cancelliamo i vostri dati NIR + Lab dopo l'elaborazione.
  • Solo voi potete scaricare le vostre calibrazioni.
Scaricare le calibrazioni.
  • Puoi vedere le statistiche sulle prestazioni delle calibrazioni.
  • Puoi provare le Calibrazioni prima di acquistare.
  • Costo fisso per sviluppo e utilizzo della taratura. Pagato su download.
Utilizzare il tooling gratuito NIR-Predictor Software per.

We make NIR Chemometrics easyWir machen NIR Chemometrie einfach

Hi, we're CalibrationModel. Our aim is to transform your NIR data to superior calibration models. We do this by using knowledge driven software applying good practices and rules from literature, publications, regulatory guidelines and more. Our service is used by NIR specialists to deliver a valuable model for their NIR analysis measurements. With CalibrationModel services, NIR specialists can find out how their NIR Data can be robust and optimally modeled by which data preprocessing and wavelength selection, etc. You can implement CalibrationModel in a matter of minutes using our contact form and send your NIR data to receive optimized model settings as a blueprint.

NIR specialists (Spectroscopist, Chemometricians) love perfect models. They're curious about how to improve their models even further, because all NIR models need continuous maintenance and updates.


Using CalibrationModel services, NIR Specialists can deliver real value to their measurement results through powerful model optimization capabilities.


CalibrationModel
We make NIR Chemometrics easy.

Near-Infrared Data Modeling Calibration Service

Hi, we're CalibrationModel. Our aim is to transform your NIR data to superior calibration models. We do this by using knowledge driven software applying good practices and rules from literature, publications, regulatory guidelines and more. Our service is used by NIR specialists to deliver a valuable model for their NIR analysis measurements. With CalibrationModel services, NIR specialists can find out how their NIR Data can be robust and optimally modeled by which data preprocessing and wavelength selection, etc. You can implement CalibrationModel in a matter of minutes using our contact form and send your NIR data to receive optimized model settings as a blueprint.

NIR specialists (Spectroscopist, Chemometricians) love perfect models. They're curious about how to improve their models even further, because all NIR models need continuous maintenance and updates.


Using CalibrationModel services, NIR Specialists can deliver real value to their measurement results through powerful model optimization capabilities.


CalibrationModel
We make NIR Chemometrics easy.

Near-Infrared Data Modeling Calibration Service

Hi, we're CalibrationModel. Our aim is to transform your NIR data to superior calibration models. We do this by using knowledge driven software applying good practices and rules from literature, publications, regulatory guidelines and more. Our service is used by NIR specialists to deliver a valuable model for their NIR analysis measurements. With CalibrationModel services, NIR specialists can find out how their NIR Data can be robust and optimally modeled by which data preprocessing and wavelength selection, etc. You can implement CalibrationModel in a matter of minutes using our contact form and send your NIR data to receive optimized model settings as a blueprint.

NIR specialists (Spectroscopist, Chemometricians) love perfect models. They're curious about how to improve their models even further, because all NIR models need continuous maintenance and updates.


Using CalibrationModel services, NIR Specialists can deliver real value to their measurement results through powerful model optimization capabilities.


CalibrationModel
We make NIR Chemometrics easy.

Near-Infrared Data Modeling Calibration Service