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
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.
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.
Spectroscopy and Chemometrics News Weekly 34, 2020 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK
This week’s NIR news Weekly is sponsored by Your-Company-Name-Here – NIR-spectrometers. Check out their product page … link
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Near-Infrared Spectroscopy (NIRS)
“Modelos NIRS para as características químicas da madeira de Eucalyptus benthamii Maiden & Cambage” LINK
“Application of in situ near infra-red spectroscopy (NIRS) for monitoring biopharmaceuticals production by cell cultures” LINK
“Using the NIRS for analyzes of soil clay content” LINK
“Determination of compost maturity using near infrared spectroscopy (NIRS)” LINK
“Screening Risk Assessment of Agricultural Areas under a High Level of Anthropopressure Based on Chemical Indexes and VIS-NIR Spectroscopy” LINK
“… an algorithm for processing Red Green Blue (RGB) images for the estimation of crude protein in grasses vs Near Infrared Reflectance Spectroscopy Technology (NIRS …” LINK
“Monitoring of cheese maturation using near infrared-hyperspectral imaging (NIR-HIS)” LINK
“Selection of sugarcane clones via multivariate models using near-infrared (NIR) spectroscopy data” LINK
Infrared Spectroscopy (IR) and Near-Infrared Spectroscopy (NIR)
“Rapid and simultaneous analysis of multiple wine quality indicators through near-infrared spectroscopy with twice optimization for wavelength model” LINK
“Manuka honey adulteration detection based on near-infrared spectroscopy combined with aquaphotomics” LINK
” Identification of Marine Fish Taxa by Linear Discriminant Analysis of Reflection Spectra in the Near-Infrared Region” LINK
“Assessment of Intact Macadamia Nut Internal Defects Using Near-Infrared Spectroscopy” LINK
“Rational design of near-infrared platinum(ii)-acetylide conjugated polymers for photoacoustic imaging-guided synergistic phototherapy under 808 nm irradiation.” LINK
“Classification of fish species from different ecosystems using the near infrared diffuse reflectance spectra of otoliths” LINK
“Three new Amazonian species of Myrcia sect. Myrcia (Myrtaceae) based on morphology and near-infrared spectroscopy” LINK
“Rapid Online Determination of Feed Concentration in Nitroguanidine Spray Drying Process by Near Infrared Spectroscopy” LINK
Raman Spectroscopy
“Monitoring the Caustic Dissolution of Aluminum Alloy in a Radiochemical Hot Cell Using Raman Spectroscopy” LINK
Hyperspectral Imaging (HSI)
“Hyperspectral Imaging and Deep Learning for Food Safety Assessment” LINK
Chemometrics and Machine Learning
“Rapid and Nondestructive Freshness Determination of Tilapia Fillets by a Portable Near-Infrared Spectrometer Combined with Chemometrics Methods” LINK
“Non-Targeted Detection of Adulterants in Almond Powder Using Spectroscopic Techniques Combined with Chemometrics.” LINK
Environment NIR-Spectroscopy Application
“Mobile Proximal Sensing with Visible and Near Infrared Spectroscopy for Digital Soil Mapping” LINK
Agriculture NIR-Spectroscopy Usage
“Imaging Techniques for Chicken Products Detection” LINK
“Usage of visual and near-infrared spectroscopy to predict soil properties in forest stands” LINK
“NUTRIENT CONTENT OF SOYBEAN MEAL FROM DIFFERENT ORIGINS BASED ON NEAR INFRARED REFLECTANCE SPECTROSCOPY” LINK
“Robustness of visible near-infrared and mid-infrared spectroscopic models to changes in the quantity and quality of crop residues in soil” LINK
“Use of leaf hyperspectral data and different regression models to estimate photosynthetic parameters (Vcmax and Jmax) in three different row crops” LINK
“Rapid and direct detection of small microplastics in aquatic samples by a new near infrared hyperspectral imaging (NIR-HSI) method” LINK
Horticulture NIR-Spectroscopy Applications
“Prediction of Soluble Solids Content During Storage of Apples with Different Maturity Based on VIS/NIR Spectroscopy” LINK
“A new spectral pretreatment method for detecting soluble solids content of pears using Vis/NIR spectroscopy” LINK
“Research on the Performance of Juicy Peach Sugar Content Detection Model Based on Near Infrared Spectroscopy” LINK
Forestry and Wood Industry NIR Usage
“The Effect of Construction and Demolition Waste Plastic Fractions on Wood-Polymer Composite Properties” LINK
Food & Feed Industry NIR Usage
“Non-destructive Assessment of Flesh Firmness and Dietary Antioxidants of Greenhouse-grown Tomato (Solanum lycopersicum L.) at Different Fruit Maturity Stages” LINK
“Comparative analysis of rice seed viability detection based on different spectral bands” LINK
“Detection of chocolate powder adulteration with peanut using near-infrared hyperspectral imaging and Multivariate Curve Resolution” LINK
Get the new Free NIR-Predictor V2.6 software – Reads and predicts *.spc spectra file format (Thermo-Scientific / Galactic GRAMS) – Spectra Plots on the Prediction Reports NIRS NIR Spectroscopy Spectrometer QualityControl Laboratory Food Analysis LINK
Pro Tip: The NIR calibration is the central key to accurate NIR measurement | NIRS LINK
Spectroscopy and Chemometrics News Weekly 25, 2020 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK
“Study on Detection Methods for Frying Times of Soybean Oil Based on NIRS” LINK
“Non-destructive Detection the Content of Acid Detergent Fiber in Corn Stalk Using NIRS” LINK
“Differentiation of South African Game Meat Using Near-Infrared (NIR) Spectroscopy and Hierarchical Modelling” LINK
“Changes in chemical components with NIR spectroscopy and durability of samama wood treated with boron, methyl methacrylate and heat treatment” LINK
“NIR spectroscopy application for determination caffeine content of Arabica green bean coffee” LINK
“Principle Component Analysis (PCA)-Classification of Arabica green bean coffee of North Sumatera Using FT–NIRS” LINK
“Prediction of water content in Lintong green bean coffee using FT-NIRS and PLS method” LINK
Infrared Spectroscopy (IR) and Near-Infrared Spectroscopy (NIR)
“Detection of aflatoxin B1 on corn kernel surfaces using visible-near infrared spectroscopy” LINK
“Soil NPK Levels Characterization Using Near Infrared and Artificial Neural Network” LINK
“Rapid and Non-destructive Detecting Frying Times of Peanut Oil Based on Near Infrared Reflectance Spectroscopy” LINK
“Biosensors, Vol. 10, Pages 41: Rapid Nondestructive Detection of Water Content and Granulation in Postharvest Shatian Pomelo Using Visible/Near-Infrared Spectroscopy” LINK
” Estimation of moisture in wood chips by Near Infrared Spectroscopy” LINK
“Nondestructive determination of lignin content in Korla fragrant pear based on near-infrared spectroscopy” LINK
“Near-infrared spectroscopy of the placenta for monitoring fetal oxygenation during labour.” LINK
“Confirmation of brand identification in infant formulas by near-infrared spectroscopy fingerprints” LINK
“Application of near-infrared hyperspectral imaging to identify a variety of silage maize seeds and common maize seeds” LINK
“Protein, weight, and oil prediction by single-seed near-infrared spectroscopy for selection of seed quality and yield traits in pea (Pisum sativum).” phenotyping LINK
“Estimating δ15N and δ13C in Barley and Pea Mixtures Using Near-Infrared Spectroscopy with Genetic Algorithm Based Partial Least Squares Regression” LINK
Raman Spectroscopy
“Diagnosis of Citrus Greening using Raman Spectroscopy-Based Pattern Recognition” LINK
Hyperspectral Imaging (HSI)
“Germination Prediction of Sugar Beet Seeds Based on HSI and SVM-RBF” LINK
“Diagnosis of Late Blight of Potato Leaves Based on Deep Learning Hyperspectral Images” LINK
“Rapid detection of quality index of postharvest fresh tea leaves using hyperspectral imaging.” LINK
“Applied Sciences, Vol. 10, Pages 2259: Hyperspectral Inversion Model of Chlorophyll Content in Peanut Leaves” LINK
Chemometrics and Machine Learning
“Spectroscopic techniques combined with chemometrics for fast on-site characterization of suspected illegal antimicrobials” LINK
“Comparison of CNN Algorithms on Hyperspectral Image Classification in Agricultural Lands” LINK
Research on Spectroscopy
“Lanthanide complexes with N-(2, 6-dimethylphenyl) oxamate: Synthesis, characterisation and cytotoxicity” LINK
Equipment for Spectroscopy
“Monitoring wine fermentation deviations using an ATR-MIR spectrometer and MSPC charts” LINK
Agriculture NIR-Spectroscopy Usage
“Rapid Measurement of Soybean Seed Viability Using Kernel-Based Multispectral Image Analysis” LINK
“Remote Sensing, Vol. 12, Pages 1256: Crop Separability from Individual and Combined Airborne Imaging Spectroscopy and UAV Multispectral Data” LINK
“Portable IoT NIR Spectrometer for Detecting Undesirable Substances in Forages of Dairy Farms” LINK
Food & Feed Industry NIR Usage
“Prediction of infertile chicken eggs before hatching by the Naïve-Bayes method combined with visible near infrared transmission spectroscopy” LINK
“Statistical Analysis of Protein Content in Wheat Germplasm Based on Near-infrared Reflectance Spectroscopy” LINK
Other
“On-Site Identification of the Material Composition of PV Modules with Mobile Spectroscopic Devices” LINK
“NIR spectroscopy application for determination caffeine content of Arabica green bean coffee” LINK
“Review of NIR spectroscopy methods for nondestructive quality analysis of oilseeds and edible oils” LINK
“Omega-3 and Omega-6 Determination in Nile Tilapia’s Fillet Based on MicroNIR Spectroscopy and Multivariate Calibration” LINK
“Determination of metmyoglobin in cooked tan mutton using Vis/NIR hyperspectral imaging system” LINK
“Prediction of water content in Lintong green bean coffee using FT-NIRS and PLS method” LINK
Discrimination of legal and illegal Cannabis spp. according to European legislation using near infrared spectroscopy and chemometrics. LINK
“A system using in situ NIRS sensors for the detection of product failing to meet quality standards and the prediction of optimal postharvest shelf-life in the case of oranges kept in cold storage” LINK
“Estimation of Harumanis (Mangifera indica L.) Sweetness using Near-Infrared (NIR) Spectroscopy” LINK
“Near-Infrared (NIR) Spectroscopy to Differentiate Longissimus thoracis et lumborum (LTL) Muscles of Game Species” LINK
Infrared Spectroscopy (IR) and Near-Infrared Spectroscopy (NIR)
“Rapid and Non-destructive Detecting Frying Times of Peanut Oil Based on Near Infrared Reflectance Spectroscopy” LINK
“Different Supervised and unsupervised classification approaches based on Visible/Near infrared spectral analysis for discrimination of microbial contaminated lettuce …” LINK
“Nondestructive determination of lignin content in Korla fragrant pear based on near-infrared spectroscopy” LINK
“Monitoring the Progress and Healing Status of Burn Wounds Using Infrared Spectroscopy” LINK
“Detection of melamine and sucrose as adulterants in milk powder using near-infrared spectroscopy with DD-SIMCA as one-class classifier and MCR-ALS … forensic evidence” LINK
“Differentiating Between Malignant Mesothelioma and Other Pleural Lesions Using Fourier Transform Infrared Spectroscopy” LINK
“Confirmation of brand identification in infant formulas by near-infrared spectroscopy fingerprints” LINK
“Near-infrared spectroscopy of the placenta for monitoring fetal oxygenation during labour.” LINK
“Impact of H2O on atmospheric CH4 measurement in near-infrared absorption spectroscopy.” LINK
“Application of near-infrared hyperspectral imaging to identify a variety of silage maize seeds and common maize seeds” LINK
“Protein, weight, and oil prediction by single-seed near-infrared spectroscopy for selection of seed quality and yield traits in pea (Pisum sativum).” phenotyping LINK
“Multiple-depth Modeling of Soil Organic Carbon using Visible–Near Infrared Spectroscopy” LINK
“Non-Invasive Blood Glucose Monitoring using Near-Infrared Spectroscopy based on Internet of Things using Machine Learning” LINK
“Simultaneous determination of antioxidant properties and total phenolic content of Siraitia grosvenorii by near infrared spectroscopy” LINK
“Rapid quantitative detection of mineral oil contamination in vegetable oil by near-infrared spectroscopy” LINK
“Estimating δ15N and δ13C in Barley and Pea Mixtures Using Near-Infrared Spectroscopy with Genetic Algorithm Based Partial Least Squares Regression” LINK
“Investigating the Quality of Antimalarial Generic Medicines Using Portable Near-Infrared Spectroscopy” LINK
“THE DETERMINATION OF FATTY ACIDS IN CHEESES OF VARIABLE COMPOSITION (COW, EWE’S, AND GOAT) BY MEANS OF NEAR INFRARED SPECTROSCOPY” LINK
“Protein, weight, and oil prediction by singleseed nearinfrared spectroscopy for selection of seed quality and yield traits in pea (Pisum sativum)” LINK
Raman Spectroscopy
“Raman Technology for Today’s Spectroscopists” LINK
“Diagnosis of Citrus Greening using Raman Spectroscopy-Based Pattern Recognition” LINK
Hyperspectral Imaging (HSI)
“Classification of Hyperspectral Endocrine Tissue Images Using Support Vector Machines.” LINK
“Using dual-channel CNN to classify hyperspectral image based on spatial-spectral information” LINK
“Diagnosis of Late Blight of Potato Leaves Based on Deep Learning Hyperspectral Images” LINK
“Rapid detection of quality index of postharvest fresh tea leaves using hyperspectral imaging.” LINK
“Applied Sciences, Vol. 10, Pages 2259: Hyperspectral Inversion Model of Chlorophyll Content in Peanut Leaves” LINK
“Non-Destructive Detection of Tea Leaf Chlorophyll Content Using Hyperspectral Reflectance and Machine Learning Algorithms” LINK
“Rapid detection of quality index of postharvest fresh tea leaves using hyperspectral imaging” LINK
Chemometrics and Machine Learning
“Rapid detection of saffron (Crocus sativus L.) Adulterated with lotus stamens and corn stigmas by near-infrared spectroscopy and chemometrics” LINK
“Simultaneous quantification of active constituents and antioxidant capability of green tea using NIR spectroscopy coupled with swarm intelligence algorithm” LINK
“Comparison of CNN Algorithms on Hyperspectral Image Classification in Agricultural Lands” LINK
“Molecules, Vol. 25, Pages 1453: Characterization, Quantification and Quality Assessment of Avocado (Persea americana Mill.) Oils” LINK
“Identification of Tea Diseases Based on Spectral Reflectance and Machine Learning” LINK
“Machine learning estimators for the quantity and quality of grass swards used for silage production using drone-based imaging spectrometry and …” LINK
Research on Spectroscopy
“Lanthanide complexes with N-(2, 6-dimethylphenyl) oxamate: Synthesis, characterisation and cytotoxicity” LINK
“Automatisierte und digitale Dokumentation der Applikation organischer Düngemittel” LINK
Equipment for Spectroscopy
“Evaluation of Depth Measurement Method Based on Spectral Characteristics Using Hyperspectrometer” LINK
“Monitoring wine fermentation deviations using an ATR-MIR spectrometer and MSPC charts” LINK
Process Control and NIR Sensors
“Process analytical technology tools for process control of roller compaction in solid pharmaceuticals manufacturing.” LINK
Agriculture NIR-Spectroscopy Usage
“The effect of bubble formation within carbonated drinks on the brewage foamability, bubble dynamics and sensory perception by consumers” LINK
“Rapid Measurement of Soybean Seed Viability Using Kernel-Based Multispectral Image Analysis” LINK
“Remote Sensing, Vol. 12, Pages 1256: Crop Separability from Individual and Combined Airborne Imaging Spectroscopy and UAV Multispectral Data” LINK
“Portable IoT NIR Spectrometer for Detecting Undesirable Substances in Forages of Dairy Farms” LINK
“Hyperspectral imaging using multivariate analysis for simulation and prediction of agricultural crops in Ningxia, China” LINK
“Automatisierte und digitale Dokumentation der Applikation organischer Düngemittel” LINK
Horticulture NIR-Spectroscopy Applications
” Nondestructive determining the soluble solids content of citrus using near infrared transmittance technology combined with the variable selection algorithm” LINK
Food & Feed Industry NIR Usage
“Statistical Analysis of Protein Content in Wheat Germplasm Based on Near-infrared Reflectance Spectroscopy” LINK
“Prediction of infertile chicken eggs before hatching by the Naïve-Bayes method combined with visible near infrared transmission spectroscopy” LINK
Other
“Microsoft lays off journalists to replace them with AI” LINK
“Fourier-transform near infrared spectroscopy (FT-NIRS) rapidly and non-destructively predicts daily age and growth in otoliths of juvenile red snapper Lutjanus …” LINK
“Desarrollo de Modelos NIRS de Predicción para el Análisis de la Finura de Fibras Textiles de Vicuña y Llama” LINK
“fNIRS-GANs: Data augmentation using generative adversarial networks for classifying motor tasks from functional near-infrared spectroscopy.” LINK
” Simulated NIR spectra as sensitive markers of the structure and interactions in nucleobases” LINK
“Penentuan Parameter Mutu Buah Jeruk Siam Garut Secara Nondestruktif Menggunakan Spektroskopi NIR” LINK
“Rapid non-destructive moisture content monitoring using a handheld portable Vis–NIR spectrophotometer during solar drying of mangoes (Mangifera indica L.)” LINK
“VIS-NIR wave spectrometric features of acorns (Quercus robur L.) for machine grading” LINK
“Portable NIR Spectroscopy: Affordable Technology for Developing Countries” LINK
“NIR spectroscopy used for non-destructive evaluation of the chemical composition of the investigated papers in addition to typically used standard methods.” LINK
“Feasibility study on prediction of gasoline octane number using NIR spectroscopy combined with manifold learning and neural network” LINK
“Authentication of Tokaj Wine (Hungaricum) with the Electronic Tongue and Near Infrared Spectroscopy” LINK
“Environmental advantages of visible and near infrared spectroscopy for the prediction of intact olive ripeness” LINK
“Rapid screening and quantitative analysis of adulterant Lonicerae Flos in Lonicerae Japonicae Flos by Fourier-transform near infrared spectroscopy” LINK
“Rapid analysis of soluble solid content in navel orange based on visible-near infrared spectroscopy combined with a swarm intelligence optimization method” LINK
“Establishment and relevant analysis of plant’s spectral reflectivity database in visible and near-infrared bands” LINK
Hyperspectral Imaging
“Mineral Mapping of Drill Core Hyperspectral Data with Extreme Learning Machines” LINK
“Deep learning classifiers for hyperspectral imaging: A review” LINK
“Texture and Shape Features for Grass Weed Classification Using Hyperspectral Remote Sensing Images” LINK
“Avoiding Overfitting When Applying Spectral-Spatial Deep Learning Methods on Hyperspectral Images with Limited Labels” LINK
“Estimation Model of Winter Wheat Yield Based on Uav Hyperspectral Data” LINK
Chemometrics and Machine Learning
“Validation of near infrared spectroscopy as an age-prediction method for plastics” LINK
Whoever leads in ArtificialIntelligence in 2030 will rule the world until 2100 | fintech AI MachineLearning DeepLearning robotics LINK
“Chemical Composition of Hexene-Based Linear Low-Density Polyethylene by Infrared Spectroscopy and Chemometrics” LINK
“Establishment of Plot-Yield Prediction Models in Soybean Breeding Programs Using UAV-Based Hyperspectral Remote Sensing” LINK
“DEVELOPING NEAR INFRARED SPECTROSCOPIC MODELS FOR PREDICTING DENSITY OF Eucalyptus WOOD BASED ON INDIRECT MEASUREMENT” LINK
“NIR reflectance spectroscopy and SIMCA for classification of crops flour” LINK
NIR Equipment
“Prediction of meat quality traits in the abattoir using portable and hand-held near-infrared spectrometers” LINK
“A Plug-and-play Hyperspectral Imaging Sensor Using Low-cost Equipment” LINK
NIR in Environment
“The use of hyperspectral remote sensing to detect PCB contaminated soils in the 0.35 to 12 micron spectral range” LINK
NIR in Agriculture
“Fast measurement of phosphates and ammonium in fermentation-like media: a feasibility study” LINK
“Detection of early decay on citrus using hyperspectral transmittance imaging technology coupled with principal component analysis and improved watershed …” LINK
“Determination of Nutritive Value of Some Feedstuffs Used in Poultry Nutrition by Near Infrared Reflectance Spectroscopy (NIRS) and Chemical Methods” LINK
“근적외선분광법을 이용한 사료용 벼의 사료가치 평가” “Evaluation of Feed Values for Whole Crop Rice Using Near Infrared Reflectance Spectroscopy” LINK
“Classification of crop flours based on protein contents using near infra-red spectroscopy and principle component analysis” LINK
“In-field detection of Alternaria solani in potato crops using hyperspectral imaging” LINK
NIR in Laboratory
“Use of Remote sensing technology to assess grapevine quality” LINK
CalibrationModel.com
Spectroscopy and Chemometrics News Weekly 2, 2020 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical AI Application Chemical Analysis Lab Labs Laboratories Laboratory Software Sensors QA QC Testing Quality LINK
*) 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).
This week’s NIR news Weekly is sponsored by YourCompanyNameHere – BestNIRinstruments. Check out their product page … link
Chemometrics
Distinguishing donor age groups via Raman spectroscopic analysis of whole blood & chemometrics! research by Kyle C. Doty & Igor K. Lednev : | LINK
“Variable selection by double competitive adaptive reweighted sampling for calibration transfer of near infrared spectra” LINK
“Intuitive Visualization of Outlier Detection Methods” LINK
“Comparison of three different classification methods performance for the determination of biofuel quality by means of NIR spectroscopy” LINK
” Predicting the quality of ryegrass using hyperspectral imaging” LINK
“A Clustering-Based Partial Least Squares Method for Improving the Freshness Prediction Model of Crucian Carps Fillets by Hyperspectral Image Technology” LINK
” Hyperspectral Uncertainty Quantification by Optimization” LINK
Near Infrared
“Hardwood Species Classification with Hyperspectral Microscopic Images” LINK
” Vibrational Spectroscopy and Chemometrics in Forensic Chemistry: Critical Review, Current Trends and Challenges” LINK
“Combining Fourier Transform MidInfrared Spectroscopy with Chemometric Methods to Detect Adulterations in Milk Powder.” LINK
“Comparison of Cation Exchange Capacity Estimated from Vis-NIR Spectral Reflectance Data and a Pedotransfer Function” LINK
“Modeling of Fatty Acid Methyl Esters, Monoglycerides, Triglycerides and Diglycerides in Rapeseed Oil Biodiesel by Near Infrared Spectroscopy” LINK
“Predicting the contents of polysaccharides and its monosugars in Dendrobium huoshanense by partial least squares regression model using attenuated total reflectance Fourier transform infrared spectroscopy” LINK
“Fast determination of oxides content in cement raw meal using NIR spectroscopy with SPXY algorithm” LINK
“Application of near infrared spectroscopy and chemometrics for the analysis of nutraceuticals in South Africa” LINK
Infrared
“Determination of total sugar content in Siraitia grosvenorii by near infrared diffuse reflectance spectroscopy with wavelength selection techniques” LINK
“How to Measure Coating Thickness of Tablets: Method Comparison of Optical Coherence Tomography, Near-infrared Spectroscopy and Weight-, Height- and Diameter Gain.” LINK
Hyperspectral
“Spectral difference analysis and identification of different maturity blueberry fruit based on hyperspectral imaging using spectral index” LINK
Optics
Focus on photonics, spectroscopy, and spectrometry LINK
Equipment
“Sensors, Vol. 19, Pages 2995: Effect of the Architecture of Fiber-Optic Probes Designed for Soluble Solid Content Prediction in Intact Sugar Beet Slices” LINK
“Miniaturized analytical platform for cocaine detection in oral fluids by MicroNIR/Chemometrics.” LINK
“Handheld near-infrared spectrometer for on-line monitoring of biodiesel production in a continuous process” LINK
Environment
“Optimized Multivariate Analysis for the Discrimination of Cucumber Green Mosaic Mottle Virus-Infected Watermelon Seeds Based on Spectral Imaging” LINK
Agriculture
“Non-destructive screening method for detecting the presence of insects in sorghum grains using near infrared spectroscopy and discriminant analysis” LINK
” NIR hyperspectral imaging with multivariate analysis for measurement of oil and protein” LINK
Pharma
“Development and Validation of In-line Near-Infrared Spectroscopy Based Analytical Method for Commercial Production of a Botanical Drug Product” LINK
In-line monitoring of powder blend homogeneity in continuous drug manufacture using near infrared spectroscopy (with PDF) pharmaceutical binder excipients LINK
Laboratory
“The essential role of omni-capable research laboratories in advancing analytical spectroscopy” LINK
Other
“How to Build Disruptive DataScience Teams: 10 Best Practices” LINK
“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
CalibrationModel.com ia a perfect match for
– NIR Vendors , selling NIR , with limited capacity for NIR method development – Labs , using NIR , with limited capacity for NIR method development – small Labs , starting with NIR , with no or less Chemometric knowledge
The Triple to success : faster better analytics LAB Reference Analytics + NIR Spectroscopy + ChemoMetrics
LAB + NIR + CM
=> use CM as a Service : CalibrationModel
NIR Method Development : Before / After
Before
– The need of a chemometric software ($$)
– The need of expert training courses (time,$$)
– The need of manual expert work (time,$$$)
with CalibrationModel – The freedom without a chemometric software
– The freedom without being an expert
– The freedom of using a Service ($)
=> work smart, not hard See Cost Comparision
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 or other data formats 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 (white-label)
Customer <————————> CalibrationModel
or
Customer <–> Middleman <–> CalibrationModel
NIR Company NIR Sales, Consultancy
Riskless PredictorOEM integration (white label) (in NIR-Vendors Instrument Software) Predictor is included atno extra cost(for software licenses and development kit (SDK))
Predictor as a hidden second engine (second Heart)
Windows .NET, easy programming interface (API)
Ownership
DATA owner -> CALIB owner ==> use as your Pre-CALIB
CALIB is licensed to owner and so copy protected The owner can Re-License a CALIB to others
owner canre-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
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