Spectroscopy and Chemometrics/Machine-Learning News Weekly #16, 2022

NIR Calibration-Model Services

Custom NIR Calibration Models development for a large list of NIR spectrometers NIRS spectroscopy spectrometer chemometrics MachineLearning DigitalTransformation miniaturization mobileDevices MobileSpectrometers NIRanalysis Laboratoires LINK

Do you use a near-infrared Spectrometer with Chemometric Methods? This will save you time | NIR NIRS SWIR MIR NIT LINK

Spectroscopy and Chemometrics News Weekly 15, 2022 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 15, 2022 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 15, 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)

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

“PhotoReduction with NIR Light of Nucleus Targeting Pt(IV) Nanoparticles for Combined TumorTargeted Chemotherapy and Photodynamic Immunotherapy” LINK

New spectra dataset released: | Vis-NIR reflectance spectra of basalts (raw pieces and powders) | ROMA database LINK

“Novel fNIRS study on homogeneous symmetric feature-based transfer learning for brain-computer interface” | LINK

“Hybrid motion artifact detection and correction approach for functional near-infrared spectroscopy measurements” LINK

“Broadband Near-Field Near-Infrared Spectroscopy and Imaging with a Laser-Driven Light Source” LINK

“… of Malperfused Areas in an Irradiated Random Pattern Skin Flap Model Using Indocyanine Green Angiography and Near-Infrared Reflectance-Based Imaging and …” LINK

“Variation of properties of two contrasting Oxisols enhanced by pXRF and Vis-NIR” | LINK

“Carbon Footprint Reduction by Utilizing Real Time NIR Spectroscopy for RVP Measurement in Natural Gas Condensate Stabilizers” LINK

“Near Infrared Spectroscopy Detects Change of Tissue Hemoglobin and Water Levelsin Kawasaki Disease and Coronary Artery Lesions” LINK

“Cortical Activation of Swallowing Using fNIRS: A Proof of Concept Study with Healthy Adults” | LINK

“Sensors : A Compact Fiber-Coupled NIR/MIR Laser Absorption Instrument for the Simultaneous Measurement of Gas-Phase Temperature and CO, CO2, and H2O Concentration” LINK

“Predicting Soil Organic Carbon Mineralization Rates Using δ13C, Assessed by Near-Infrared Spectroscopy, in Depth Profiles Under Permanent Grassland Along a …” | LINK

“FGANet: fNIRS-guided Attention Network for Hybrid EEG-fNIRS Brain-Computer Interfaces” LINK

“Gasoline octane number prediction from near-infrared spectroscopy with an ANN-based model” LINK

“Non-destructive Measurements of Toona sinensis Chlorophyll and Nitrogen Content Under Drought Stress Using Near Infrared Spectroscopy” | LINK

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

“Electrochromism of Nanographenes in the NearInfrared Region” LINK

“Energies : Fast Quantitative Modelling Method for Infrared Spectrum Gas Logging Based on Adaptive Step Sliding Partial Least Squares” LINK

“Discrimination of Commercial Ibuprofen Tablets by using a Button Sample Holder and Mid-Infrared Spectroscopy” LINK

“Sensors : Extending Effective Dynamic Range of Hyperspectral Line Cameras for Short Wave Infrared Imaging” LINK

“Induced NearInfrared Emission and Controlled Photooxidation Based on Sulfonated Crown Ether in Water” LINK

Hyperspectral Imaging (HSI)

“Transcriptome and hyperspectral profiling allows assessment of phosphorus nutrient status in rice under field conditions” LINK

“Unsupervised Spatial-Spectral CNN-Based Feature Learning for Hyperspectral Image Classification” LINK

“Determination of viability and vigor of naturally-aged rice seeds using hyperspectral imaging with machine learning” LINK

“Diagnostical Accuracy of Hyperspectral Imaging After Free Flap Surgery” LINK

Spectral Imaging

“Remote Sensing : Genetic Programming Approach for the Detection of Mistletoe Based on UAV Multispectral Imagery in the Conservation Area of Mexico City” LINK

Chemometrics and Machine Learning

“Foods : Discriminant Analysis of Pu-Erh Tea of Different Raw Materials Based on Phytochemicals Using Chemometrics” LINK

“Algorithm of Stability-Analysis-Based Feature Selection for NIR Calibration Transfer” LINK

“Chemosensors : Nonlinear Multivariate Regression Algorithms for Improving Precision of Multisensor Potentiometry in Analysis of Spent Nuclear Fuel Reprocessing Solutions” LINK

“Blood Glucose Prediction Using Machine Learning on Jetson Nanoplatform” LINK

“Machine Learning-Powered Models for Near-Infrared Spectrometers: Prediction of Protein in Multiple Grain Cereals” LINK

“Cognitive spectroscopy for the classification of rice varieties: a comparison of machine learning and deep learning approaches in analysing long-wave near-infrared …” LINK

“Foods : Fatty Acid Profiling in Kernels Coupled with Chemometric Analyses as a Feasible Strategy for the Discrimination of Different Walnuts” LINK

“Remote Sensing : A Machine Learning Framework for the Classification of Natura 2000 Habitat Types at Large Spatial Scales Using MODIS Surface Reflectance Data” LINK

“Non-destructive detection of chilling injury in kiwifruit using a dual-laser scanning system with a principal component analysis – back propagation neural network” LINK

Research on Spectroscopy

“Applied Sciences : Pre-Disinfection of Poly-Methyl-Methacrylate (PMMA) Reduces Volatile Sulfides Compounds (VSC) Production in Experimental Biofilm In Vitro” LINK

“Remote Sensing : Study of Atmospheric Carbon Dioxide Retrieval Method Based on Normalized Sensitivity” LINK

Equipment for Spectroscopy

“Mid-IR spectroscopy with NIR grating spectrometers” LINK

Environment NIR-Spectroscopy Application

“Antibacterial Copolypeptoids with Potent Activity against Drug Resistant Bacteria and Biofilms, Excellent Stability, and Recycling Property” LINK

“Determining Water Transport Kinetics in Limestone by Dual-Wavelength Cavity Ring-Down Spectroscopy” LINK

“Verifying the predictive performance for soil organic carbon when employing field Vis-NIR spectroscopy and satellite imagery obtained using two different sampling …” LINK

Agriculture NIR-Spectroscopy Usage

“Agriculture : A 1D-SP-Net to Determine Early Drought Stress Status of Tomato (Solanum lycopersicum) with Imbalanced Vis/NIR Spectroscopy Data” LINK

“Remote Sensing : Spectral-Based Classification of Plant Species Groups and Functional Plant Parts in Managed Permanent Grassland” LINK

“Assessment of macronutrients and alpha-galactosides of texturized vegetable proteins by near infrared hyperspectral imaging” LINK

“A fuzzy multi-criteria decision-making approach for the assessment of forest health applying hyper spectral imageries: A case study from Ramsar forest, North of Iran” LINK

“Feasibility of near-infrared spectroscopic rapid detection method for the water content of vermiculite substrates in desert facility agriculture” | LINK

“Evaluation of Methods for Measuring Fusarium-Damaged Kernels of Wheat” LINK

“Effects of free-air temperature increase on grain yield and greenhouse gas emissions in a double rice cropping system” LINK

“The use of milk Fourier-transform mid-infrared spectroscopy to diagnose pregnancy and determine spectral regional associations with pregnancy in US dairy cows” LINK

“Nutrients : Analysis of the Correlation between Meal Frequency and Obesity among Chinese Adults Aged 18-59 Years in 2015” LINK

“Agriculture : N2O Emission and Nitrification/Denitrification Bacterial Communities in Upland Black Soil under Combined Effects of Early and Immediate Moisture” LINK

“Bovine fecal chemistry changes with progression of Southern Cattle Tick, Rhipicephalus (Boophilus) microplus (Acari: Ixodidae) infestation” LINK

Food & Feed Industry NIR Usage

“Effects of Irrigation Strategy and Plastic Film Mulching on Soil N 2 O Emissions and Fruit Yields of Greenhouse Tomato” LINK

Chemical Industry NIR Usage

“Polymers : π-Conjugated Polymers and Their Application in Organic and Hybrid Organic-Silicon Solar Cells” LINK

Pharma Industry NIR Usage

“Applied Sciences : Design of Two-Mode Spectroscopic Sensor for Biomedical Applications: Analysis and Measurement of Relative Intensity Noise through Control Mechanism” LINK


“How This A.I. Draws Anything You Describe [Dall-E 2]” LINK

“Asphaltene Precipitation Onsets in Relation to the Critical Dilution of Athabasca Bitumen in Paraffinic Solvents” LINK

“Design Meets Neuroscience: A Preliminary Review of Design Research Using Neuroscience Tools” LINK

“[ZITATION][C] Author Session” LINK

“Dissimilatory nitrate reduction in urban lake ecosystems: a comparison study between closed and open lakes in Chengdu, China” LINK

“[Exclusive] Elon Musk: A future worth getting excited about” LINK

Spectroscopy and Chemometrics/Machine-Learning News Weekly #8, 2022

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 7, 2022 | 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

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

Near-Infrared Spectroscopy (NIRS)

“Nirs Technology (Near Infrared Reflectance Spectroscopy) for Detecting Soil Fertility Case Study in Aceh Province” LINK

“Fourier transform and near infrared dataset of dialdehyde celluloses used to determine the degree of oxidation with chemometric analysis” LINK

“NIRS and Aquaphotomics Trace Robusta-to-Arabica Ratio in Liquid Coffee Blends” LINK

“Development of a generic NIRS calibration pipeline using deep learning and model ensembling: application to some reference datasets” LINK

“Foods : Rapid Differentiation of Unfrozen and Frozen-Thawed Tuna with Non-Destructive Methods and Classification Models: Bioelectrical Impedance Analysis (BIA), Near-Infrared Spectroscopy (NIR) and Time Domain Reflectometry (TDR)” LINK

“Rapid and accurate determination of prohibited components in pesticides based on near infrared spectroscopy” LINK

“NIR spectroscopic methods for monitoring blend potency in a feed frame – calibration transfer between offline and inline using a continuum regression filter” LINK

“A FT-NIR Process Analytical Technology Approach for Milk Renneting Control” LINK

“Construction and Verification of a Mathematical Model for Near-Infrared Spectroscopy Analysis of Gel Consistency in Southern Indica Rice” LINK

“Research on Construction of Visible-Near Infrared Spectroscopy Analysis Model for Soluble Solid Content in Different Colors of Jujube” LINK

“Quantitative Detection of Agaricus Bisporus Freshness Based on VIS-NIR Spectroscopy” LINK

“Foods : Rapid Determination of β-Glucan Content of Hulled and Naked Oats Using near Infrared Spectroscopy Combined with Chemometrics” LINK

“A ready-to-use portable VIS-NIR spectroscopy device to assess superior EVOO quality” | LINK

“Challenges, Opportunities and Recent Advances in Near Infrared Spectroscopy Applications for Monitoring Blend Uniformity in the Continuous Manufacturing of Solid …” LINK

“The use of near-infrared reflectance spectroscopy (NIRS) to predict dairy fibre feeds in vitro digestibility” LINK

“Near-Infrared Reflectance Spectroscopy (NIRS) detection to differentiate morning and afternoon milk based on nutrient contents and fatty acid profiles” LINK

“Application of Various Algorithms for Spectral Variable Selection in NIRS Modeling of Red Ginseng Extraction” LINK

“Near infrared spectroscopy to predict plaque progression in plaque-free artery regions” LINK

“The evolution of chemometrics coupled with near infrared spectroscopy for fruit quality evaluation” LINK

“Quantitative Detection of Agaricus Bisporus Freshness Based on VIS-NIR Spectroscopy” LINK

“Application of SG-MSC-MC-UVE-PLS Algorithm in Whole Blood Hemoglobin Concentration Detection Based on Near Infrared Spectroscopy” LINK

“Near infrared reflectance spectroscopy as a tool to predict non-starch polysaccharide composition and starch digestibility profiles in common monogastric …” LINK

“Development of SOP for NIRS spectral measurement on fresh grounded yam tubers and cassava roots” LINK

“Development of calibration models within a closed feed frame to determine drug concentration using near infrared spectroscopy” LINK

“Amazonian cacao-clone nibs discrimination using NIR spectroscopy coupled to naïve Bayes classifier and a new waveband selection approach” LINK

“Foods : A FT-NIR Process Analytical Technology Approach for Milk Renneting Control” LINK

“Study on Soil Salinity Estimation Method of “Moisture Resistance” Using Visible-Near Infrared Spectroscopy in Coastal Region” LINK

“Can Grassland Chemical Quality Be Quantified Using Transform Near-Infrared Spectroscopy?” LINK

“High Near-Infrared Reflective Zn 1-x A x WO 4 Pigments with Various Hues Facilely Fabricated by Tuning Doped Transition Metal Ions (A= Co, Mn, and Fe)” LINK

“Rapid Differentiation of Unfrozen and Frozen-Thawed Tuna with Non-Destructive Methods and Classification Models: Bioelectrical Impedance Analysis (BIA), Near-Infrared Spectroscopy (NIR) and Time Domain Reflectometry (TDR)” LINK

“The Relationship Between Genetic Variations and NIRs Differences of Eucalyptus Pellita Provenances” LINK

“Prediction of quality of total mixed ration for dairy cows by near infrared reflectance spectroscopy and empirical equations” LINK

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

“Agricultural products quality determination by means of near infrared spectroscopy” LINK

“A Near-Infrared TDLAS Online Detection Device for Dissolved Gas in Transformer Oil” LINK

“Near-Infrared Spectroscopy Detection of Cotton/Polyester Content Based on Dropout Deep Belief Network” LINK

“Study on Near-Infrared Spectrum Acquisition Method of Non-Uniform Solid Particles” LINK

“Scanning interferometric near-infrared spectroscopy” LINK

“A broadband near‐infrared Sc1‐x(PO3)3:xCr3+ phosphor with enhanced thermal stability and quantum yield by Yb3+ codoping” LINK

“Minerals : Geometallurgical Characterisation with Portable FTIR: Application to Sediment-Hosted Cu-Co Ores” LINK

Hyperspectral Imaging (HSI)

“Developing deep learning based regression approaches for prediction of firmness and pH in Kyoho grape using Vis/NIR hyperspectral imaging” LINK

“Robustness and accuracy evaluation of moisture prediction model for black tea withering process using hyperspectral imaging” LINK

Spectral Imaging

“Remote Sensing : Improved Method to Detect the Tailings Ponds from Multispectral Remote Sensing Images Based on Faster R-CNN and Transfer Learning” LINK

Chemometrics and Machine Learning

“Nir Spectral Techniques and Chemometrics Applied to Food Processing” | LINK

“Consistent Value Creation from Bioprocess Data with Customized Algorithms: Opportunities Beyond Multivariate Analysis” LINK

“Effect of variable selection algorithms on model performance for predicting moisture content in biological materials using spectral data” LINK

“Chemometrics: An Excavator in Temperature-Dependent Near-Infrared Spectroscopy” LINK

“Development of Calibration-Free/Minimal Calibration Wavelength Selection for Iterative Optimization Technology Algorithms toward Process Analytical Technology Application” LINK

Equipment for Spectroscopy

“The utility of a near-infrared spectrometer to predict the maturity of green peas (Pisum sativum)” LINK

“Effect of lanthanum content on the thermophysical properties and near-infrared reflection properties of lanthanum-cerium oxides” LINK

Process Control and NIR Sensors

“Emerging non-destructive imaging techniques for fruit damage detection: Image processing and analysis” LINK

Environment NIR-Spectroscopy Application

“Fusion of visible nearinfrared and midinfrared data for modelling key soilforming processes in loess soils” LINK

Agriculture NIR-Spectroscopy Usage

“Preharvest phenotypic prediction of grain quality and yield of durum wheat using multispectral imaging” LINK

“Remote Sensing : A Random Forest Algorithm for Retrieving Canopy Chlorophyll Content of Wheat and Soybean Trained with PROSAIL Simulations Using Adjusted Average Leaf Angle” LINK

“Agriculture : Application of Fourier Transform Infrared Spectroscopy and Multivariate Analysis Methods for the Non-Destructive Evaluation of Phenolics Compounds in Moringa Powder” LINK

Horticulture NIR-Spectroscopy Applications

“Nondestructive detection of total soluble solids in grapes using VMDRC and hyperspectral imaging” LINK

Forestry and Wood Industry NIR Usage

“Influence of growth parameters on wood density of Acacia auriculiformis” | LINK

Food & Feed Industry NIR Usage

“Data fusion of near-infrared diffuse reflectance spectra and transmittance spectra for the accurate determination of rice flour constituents” LINK

Medicinal Spectroscopy

“Carbon Dots with Intrinsic Bioactivities for Photothermal Optical Coherence Tomography, tumorspecific Therapy and Postoperative Wound Management” LINK


“Potential denitrification activity response to long-term nitrogen fertilization-A global meta-analysis” LINK

“Annealing induced phase transformation from amorphous to polycrystalline SnSe2 thin film photo detector with enhanced light-matter interaction” LINK

“MoS2/PVA Hybrid Hydrogel with Excellent LightResponsive Antibacterial Activity and Enhanced Mechanical Properties for Wound Dressing” LINK

“Influence of Substrate Temperature on Structural and Optical Properties of Co-Evaporated Cu2SnS3/ITO Thin Films” | LINK


Spectroscopy and Chemometrics News Weekly #33, 2021

NIR Calibration-Model Services

Calibration Model’s free NIR-Predictor V2.6.0.2 Software Update is available today | Download here | NIRS NIR Spectroscopy Sensor Application Chemometric Prediction Report QualityControl Lab Laboratory Analysis Production LINK

Development of quantitative Multivariate Prediction Models for Near Infrared Spectrometers | NIRS HSI foodsecure LINK

Spectroscopy and Chemometrics News Weekly 32, 2021 | 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

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

Near-Infrared Spectroscopy (NIRS)

“Classification of Local Egg for Germination by Near Infrared Spectroscopy (NIR)” LINK

“Carbon stable isotopes, fatty acids and the use of NIRS to differentiate IBERIAN pigs” LINK

“Real-time monitoring of xylitol production in a bioreactor by Candida tropicalis IEC5-ITV using Near-Infrared Spectroscopy (NIRS)” LINK

“Assessment of NIR spectroscopy for predicting biochemical methane potential of agro-residues-A biorefinery approach” LINK

“NIR Emissive Chromium(0), Molybdenum(0) and Tungsten(0) Complexes in the Solid State at Room Temperature” LINK

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

“Near infrared spectroscopy determination of chemical and sensory properties in tomato” LINK

“Rapid determination of hemoglobin concentration by a novel ensemble extreme learning machine method combined with near-infrared spectroscopy” LINK

“Pattern Recognition Applied to the Classification of Near-Infrared Spectra” LINK

Raman Spectroscopy

“Probing Protein Secondary Structure Influence on Active Centers with Hetero Two-Dimensional Correlation (Resonance) Raman Spectroscopy: A Demonstration on Cytochrome C” LINK

Hyperspectral Imaging (HSI)

” A Review of Recent Studies Employing Hyperspectral Imaging for the Determination of Food Adulteration. Photochem 2021, 1, 125-146″ LINK

Spectral Imaging

“Remote Sensing : MultitemporalMultispectral UAS Surveys for Archaeological Research: The Case Study of San Vincenzo Al Volturno (Molise, Italy)” LINK

Chemometrics and Machine Learning

“Brand classification and storage time prediction of commercial infant milk formula powder using NIR spectroscopy and chemometrics” LINK

Optics for Spectroscopy

“Large Polycyclic Aromatic Hydrocarbons as Graphene Quantum Dots: from Synthesis to Spectroscopy and Photonics” LINK


“Remote Sensing : Extraction of Sunflower Lodging Information Based on UAV Multi-Spectral Remote Sensing and Deep Learning” LINK

“Applied Sciences : Comparing Machine Learning Methods for Classifying Plant Drought Stress from Leaf Reflectance Spectra in Arabidopsis thaliana” LINK

“Extended application of deep learning combined with 2DCOS: Study on origin identification in the medicinal plant of Paris polyphylla var. yunnanensis.” LINK

Equipment for Spectroscopy

“Changes of Apomorphine Induced Vaginal Hemodynamics in an Ovariectomized Rat Model Using Near-Infrared Spectroscopic Probe” LINK

“Applied Sciences : A Method of Defect Depth Recognition in Active Infrared Thermography Based on GRU Networks” LINK

“Light-induced off-axis cavity-enhanced thermoelastic spectroscopy in the near-infrared for trace gas sensing” LINK

Process Control and NIR Sensors

“Applied Sciences : Monitoring a Reverse Osmosis Process with Kernel Principal Component Analysis: A Preliminary Approach” LINK

Environment NIR-Spectroscopy Application

“Sensors : SLAM-OR: Simultaneous Localization, Mapping and Object Recognition Using Video Sensors Data in Open Environments from the Sparse Points Cloud” LINK

“Parameterization of twodimensional approaches in HYDRUS2D: Part 1. Simulating water flow dynamics at the field scale” LINK

Agriculture NIR-Spectroscopy Usage

“Soybean Origin Identification Based by Near-Infrared Spectrum Based on Principal Component Analysis and Artificial Neural Network Model” LINK

“Land : Soil Quality Assessment after 25 Years of Sewage Sludge vs. Mineral Fertilization in a Calcareous Soil” LINK

“Remote Sensing : Estimation of Heavy Metals in Agricultural Soils Using Vis-NIR Spectroscopy with Fractional-Order Derivative and Generalized Regression Neural Network” LINK

“The use of nearinfrared reflectance spectroscopy for forage nutritive value analysis in subSaharan African countries: Challenges and opportunities” LINK

“The potential to breed a lowprotein maize for proteinrestricted diets” LINK

Horticulture NIR-Spectroscopy Applications

“In situ diagnosis of mature HLB-asymptomatic citrus fruits by laser-induced breakdown spectroscopy” LINK

“Integration of vibration and optical techniques for watermelon firmness assessment” LINK

Food & Feed Industry NIR Usage

“Evaluation of the effect of factors related to preparation and composition of grated Parmigiano Reggiano cheese using NIR hyperspectral imaging” LINK

“Comparison of GC and NIR spectra as a rapid tool for food fraud detection the case of butter adulteration with different fat types” LINK


“Quantitative Microstructural Characterization of Plutonium Oxalate AutoDegradation and Evidence for PuO2 Nanocrystal Formation” LINK

How to Develop and use your NIR Calibration Models to get useful Results

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