Spectroscopy and Chemometrics News Weekly #14, 2020

CalibrationModel.com

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

NIR-Predictor Software supports spectral file formats out of the box from: and others – Mobile spectroscopy NIRS portable Analyzers H2020 LINK

Timesaving Calibration Modeling Method: for near-infrared NIR Spectroscopy (NIRS) Multivariate Quantitative Prediction. food quality laboratory LINK

Spectroscopy and Chemometrics News Weekly 13, 2020 | 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 13, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse analytic LINK

Spettroscopia e Chemiometria Weekly News 13, 2020 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK

We have updated the free NIR-Predictor-Software Spectral Data format support list for many mobile and benchtop NIR Spectroscopy Sensors. | Used in QualityControl for Food Fruits Milk Meat LINK



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

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


Near Infrared Spectroscopy (NIRS)

“Aplicação da espectroscopia de reflectância no infravermelho próximo (NIRS) na determinação do potencial bioquímico de metano–Revisão” LINK

“Prediction of soil organic matter and clay contents by near-infrared spectroscopy-NIRS” LINK

“Fast detection and quantification of pork meat in other meats by reflectance FT-NIR spectroscopy and multivariate analysis” LINK

“Improved GA-SVM Algorithm and Its Application of NIR Spectroscopy in Orange Growing Location Identification” LINK

“Improved Deep CNN with Parameter Initialization for Data Analysis of Near-Infrared Spectroscopy Sensors.” Tobacco LINK

“Data analysis on near infrared spectroscopy as a part of technology adoption for cocoa farmer in Aceh Province, Indonesia” LINK

“Improved Deep CNN with Parameter Initialization for Data Analysis of Near-Infrared Spectroscopy Sensors” LINK

“Identification of a Glass Substrate to Study Cells Using Fourier Transform Infrared Spectroscopy: Are We Closer to Spectral Pathology?” LINK

“Raman-Infrared spectral fusion combined with partial least squares (PLS) for quantitative analysis of polycyclic aromatic hydrocarbons in soil” LINK

“Identification metliod of ginger-processed Pinelliaternata based on infrared spectroscopy data fusion.” LINK

“Terahertz Time of Flight Spectroscopy as a Coating Thickness Reference Method for Partial Least Squares Near Infrared Spectroscopy Models” LINK

“Quantitative detection of apple watercore and soluble solids content by near infrared transmittance spectroscopy” LINK




Hyperspectral

“Rapid Identification and Visualization of Jowl Meat Adulteration in Pork Using Hyperspectral Imaging.” LINK

“Hyperspectral monitoring of maize leaves under copper stress at different growth stages” LINK

“Classification of small-scale hyperspectral images with multi-source deep transfer learning” LINK




Chemometrics

“Detection of fat content in peanut kernels based on chemometrics and hyperspectral imaging technology” LINK

“Hyperspectral Imaging Feature Selection Using Regression Tree Algorithm: Prediction of Carotenoid Content Velvet Apple Leaf” LINK

“Modelos de calibración para la cuantificación nutricional de praderas frescas mediante espectroscopía de infrarojo cercano” LINK

“Performance Evaluation of Chemometric Prediction Models—Key Components of Wheat Grain” LINK




Equipment

“Rapid Nondestructive Analysis of Intact Canola Seeds Using a Handheld NearInfrared Spectrometer” LINK

“Confirmatory non-invasive and non-destructive differentiation between hemp and cannabis using a handheld Raman spectrometer” LINK




Process Control

“Monitoring of CO2 Absorption Solvent in Natural Gas Process Using Fourier Transform Near-Infrared Spectrometry” LINK




Environment

“Comparing laboratory and airborne hyperspectral data for the estimation and mapping of topsoil organic carbon: Feature selection coupled with random forest” LINK




Agriculture

“Predicting Forage Quality of Warm-Season Legumes by Near Infrared Spectroscopy Coupled with Machine Learning Techniques.” LINK

“Les défis de la technologie de l’aliment en nutrition volaille: pertinence et enjeux pour répondre aux attentes industrielles et sociétales” LINK

“CHANGES IN THE CONTENT OF STRUCTURAL CARBOHYDRATES AND LIGNIN IN THE BIOMASS OF Lolium multiflorum (Lam.) AFTER APPLYING SLURRY …” LINK

“Rapid Analysis of Alcohol Content During the Green Jujube Wine Fermentation by FT-NIR” LINK

“Spectral Analysis and Deconvolution of the Amide I Band of Proteins Presenting with High-Frequency Noise and Baseline Shifts” LINK




Petro

“Spectroscopic evidence of special intermolecular interaction in iodomethane-ethanol mixtures: the cooperative effect of halogen bonding, hydrogen bonding, and …” LINK




Pharma

“Defocused Spatially Offset Raman Spectroscopy in Media of Different Optical Properties for Biomedical Applications Using a Commercial Spatially Offset Raman Spectroscopy Device” LINK




Medicinal

“A single oral dose of beetroot-based gel does not improve muscle oxygenation parameters, but speeds up handgrip isometric strength recovery in recreational combat …” LINK




Other

“Spectral differentiation of oak wilt from foliar fungal disease and drought is correlated with physiological changes” LINK

“Wearing a headset containing both electroencephalography (EEG) and near-infrared spectroscopy (NIRS) sensors, the user simply imagines moving either his right hand, left hand, tongue or feet – and ASIMO makes a corresponding movement. ” BrainInterface LINK

KnowItAll Software / Spectral Libraries & ChemWindow are now part of Wiley Science Solutions. See press release: LINK

“The uses of near infra-red spectroscopy in postharvest decision support: A review” LINK





Spectroscopy and Chemometrics News Weekly #12, 2020

CalibrationModel.com

CalibrationModel.com has changed the pricing structure and NIRS-Calibration licensing options (including new perpetual and unlimited systems). | #NIR #Spectroscopy #Chemometric #AutoML #Calibration #Development #Service #milk #meet #food #qualitycontrol LINK

Do you work with Near Infra-red Reflectance Spectrometry (NIRS) and need better Accuracy? NIR Spectroscopy | mill agriculture LINK

Spectroscopy and Chemometrics News Weekly 11, 2020 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical foodprocessing foodsafety Analysis Lab Labs Laboratories Laboratory Software IoT Sensors Testing Quality LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 11, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor nearinfrared Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 11, 2020 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK




Near Infrared

“Characterization of the Fruits and Seeds of Alpinia Oxyphylla Miq by High-Performance Liquid Chromatography (HPLC) and near-Infrared Spectroscopy (NIRS) with Partial Least …” LINK

“Yenidoğan Yoğun Bakım Ünitesinde Yeni Bir Yaklaşım: Hemşirelik Bakımında Yakın Kızılötesi Spektroskopisi (Near-Infrared Spectroscopy-NIRS) Kullanımı” LINK

“Individual Wheat Kernels Vigor Assessment Based on NIR Spectroscopy Coupled with Machine Learning Methodologies” LINK

“Characteristion of Hydrogen Bond of L–Methionium Hydrogen Selenite by Temperature Dependent Two-dimensional Correlation FT-NIR Spectroscopy” LINK

“Authentication of Iberian pork official quality categories using a portable near infrared spectroscopy (NIRS) instrument.” LINK

“Determination of grated hard cheeses adulteration by near infrared spectroscopy (NIR) and multivariate analysis” LINK

“Prekalibrasi Rumput Gajah Menggunakan NIRS dan Perbandingannya dengan Pengujian Kimia” LINK

“Near‐infrared spectroscopy (NIRS) for taxonomic entomology: A brief review” LINK

“NIR spectroscopy can detect acrylamide” Visible Spectrophotometer H2020 LINK

“Evaluation and classification of five cereal fungi on culture medium using Visible/Near-Infrared (Vis/NIR) hyperspectral imaging” LINK

“APLIKASI NEAR INFRARED SPECTROSCOPY (NIRS) UNTUK MENDETEKSI PENCEMARAN TANAH” LINK

“Near-Infrared Hyperspectral Imaging Combined with Deep Learning to Identify Cotton Seed Varieties.” LINK

“Structural and visible-near infrared optical properties of (Fe, Mo)-co-doped TiO2 for colored cool pigments” LINK

“Rapid Evaluation of Biomass Properties Used for Energy Purposes Using Near-Infrared Spectroscopy” DOI: 10.5772/intechopen.90828 LINK

“Visible/near infrared spectroscopy and machine learning for predicting polyhydroxybutyrate production cultured on alkaline pretreated liquor from corn stover” LINK

“Kernel functions embedded in support vector machine learning models for rapid water pollution assessment via near-infrared spectroscopy.” LINK

“Determination of the viability of retinispora (Hinoki cypress) seeds using shortwave infrared hyperspectral imaging spectroscopy” LINK

“PREDIKSI KADAR SALINITAS, PH DAN C-ORGANIK TANAH MENGGUNAKAN NEAR INFRARED KECAMATAN BAITUSSALAM KABUPATEN ACEH BESAR” LINK

“Determination of pH and acidity in green coffee by near infrared spectroscopy and multivariate regression” LINK




Chemometrics

“Prediction of soil properties with machine learning models based on the spectral response of soil samples in the near infrared range” LINK

The statistics mantra “Correlation does NOT mean Causation” explained with an example. LINK

“Evaluation of aroma styles in flue-cured tobacco by near infrared spectroscopy combined with chemometric algorithms” LINK

“Sensors, Vol. 20, Pages 686: Fuzzy Evaluation Output of Taste Information for Liquor Using Electronic Tongue Based on Cloud Model” LINK

“Modelos de calibración para la cuantificación nutricional de praderas frescas mediante espectroscopía de infrarojo cercano” LINK

“Determination of Total Phenolic Content and NIR-Chemometrics Classification Model of Queen and Local Varieties of Soursop (Annonamuricata L.) Leaf Powder” LINK

“Recognition of different Longjing fresh tea varieties using hyperspectral imaging technology and chemometrics” LINK




Facts

“Visualizing the History of Pandemics” #infoGrafics LINK




Equipment

“Development of Low-Cost Portable Spectrometers for Detection of Wood Defects.” LINK




Process Control

“Preparation of Celecoxib Tablet by Hot Melt Extrusion Technology and Application of Process Analysis Technology to Discriminate Solubilization Effect” LINK

“Internet of Things — Leap towards a hyper-connected world” IoT Spectral Sensors SpectralSensing qualitycontrol analysis Production ProcessControl foodprocessing foodsafety foodproduction AI BigData DataScience #INFOGRAPHICS LINK




Agriculture

“Estimating fatty acid content and related nutritional indexes in ewe milk using different near infrared instruments” LINK

“Indirect measures of methane emissions of Sahelian zebu cattle in West Africa, role of environment and management” LINK

“Detection of mycotoxins and toxigenic fungi in cereal grains using vibrational spectroscopic techniques: a review” LINK

“NIR spectroscopy and management of bioactive components, antioxidant activity, and macronutrients in fruits” LINK

“Scald-Cold: Joint Austrian-Italian consortium in the Euregio project for the comprehensive dissection of the superficial scald in apples” postharvest food LINK

“Both genetic and environmental conditions affect wheat grain texture: Consequences for grain fractionation and flour properties” LINK

“A phenotyping tool for water status determination in soybean by vegetation indexes and NIR-SWIR spectral bands.” LINK




Pharma

“Non-destructive dose verification of two drugs within 3D printed polyprintlets” LINK




Laboratory

“Forward and Backward Interval Partial Least Squares Method for Quantitative Analysis of Frying Oil Quality” LINK




Other

“Study of simple detection of gasoline fuel contaminants contributing to increase Particulate Matter Emissions” LINK

“COVID-19 Open Research Dataset (CORD-19)” LINK







.

Spectroscopy and Chemometrics News Weekly #11, 2020

CalibrationModel.com

How to Develop Near-Infrared Spectroscopy Calibrations in the 21st Century? | Chemometrics Analytische Chemie LINK

Simplify the process of training machine learning models for NIR spectra data with applied near-infrared spectroscopy (NIRS) knowledge. quantitative multivariate prediction equations LINK

Spectroscopy and Chemometrics News Weekly 10, 2020 | 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 10, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 10, 2020 | NIRS NIR Spettroscopia analisi chimica Spettrale Spettrometro IoT Sensore Attrezzatura analitica nearinfrared foodscience foodprocessing foodsafety foodproduction farming agriculture LINK




Near Infrared

“Klasifikasi Kopi Green Beans Arabika Sumatera Utara Menggunakan FT-Nirs dan Analisis Diskriminan” LINK

“APLIKASI NEAR INFRARED SPECTROSCOPY (NIRS) UNTUK MENGETAHUI KANDUNGAN HARA NITROGEN FOSFOR DAN KALIUM PADA INSTALASI …” LINK

” Identification of common wood species in northeast China using Vis/NIR spectroscopy” LINK

“Efficient Super Broadband NIR Ca2LuZr2Al3O12:Cr3+,Yb3+ Garnet Phosphor for pc‐LED Light Source toward NIR Spectroscopy Applications” LINK

“Performance comparison of sampling designs for quality and safety control of raw materials in bulk: a simulation study based on NIR spectral data and geostatistical …” LINK

“Prediction of drug dissolution from Toremifene 80 mg tablets using NIR spectroscopy” LINK

“Nearinfrared spectroscopy (NIRS) for taxonomic entomology: A brief review” LINK

“Determination of tomato quality attributes using portable NIR-sensors” LINK

“Exploring the potential of NIR hyperspectral imaging for automated quantification of rind amount in grated Parmigiano Reggiano cheese” LINK

“Rapid detection of adulteration of minced beef using Vis/NIR reflectance spectroscopy with multivariate methods.” LINK

“Evaluation of quinclorac toxicity and alleviation by salicylic acid in rice seedlings using ground-based visible/near-infrared hyperspectral imaging.” LINK

“An optimized non-invasive glucose sensing based on scattering and absorption separating using near-infrared spectroscopy” LINK

“Identification of waxy cassava genotypes using fourier‐transform near‐infrared spectroscopy” LINK

“Kernel functions embedded in support vector machine learning models for rapid water pollution assessment via near-infrared spectroscopy” LINK

“Near-infrared-based Identification of Walnut Oil Authenticity” LINK

“Detection of flaxseed oil multiple adulteration by near-infrared spectroscopy and nonlinear one class partial least squares discriminant analysis” LINK

“Application research of sensor output digitization for compact near infrared IOT node” LINK

“Refining Transfer Set in Calibration Transfer of Near Infrared Spectra by Backward Refinement of Samples” LINK

“Highly identification of keemun black tea rank based on cognitive spectroscopy: Near infrared spectroscopy combined with feature variable selection” LINK

“Optimizing Rice Near-Infrared Models Using Fractional Order SavitzkyGolay Derivation (FOSGD) Combined with Competitive Adaptive Reweighted Sampling (CARS)” LINK

“Fourier transform near infrared spectroscopy as a tool to discriminate olive wastes: The case of monocultivar pomaces.” LINK

“Evaluation of quinclorac toxicity and alleviation by salicylic acid in rice seedlings using ground-based visible/near-infrared hyperspectral imaging” LINK

“Near Infrared Spectrometric Investigations on the behaviour of Lactate.” LINK

“Nondestructive rapid and quantitative analysis for the curing process of silicone resin by nearinfrared spectra” LINK

“An introduction to handheld infrared and Raman instrumentation” LINK




Hyperspectral

“Hyperspectral anomaly detection by local joint subspace process and support vector machine” LINK

“Assessment of matcha sensory quality using hyperspectral microscope imaging technology” LINK




Chemometrics

“Application of Infrared Spectroscopy and Chemometrics to the Cocoa Industry for Fast Composition Analysis and Fraud Detection” LINK

“Calibration models for the nutritional quality of fresh pastures by nearinfrared reflectance spectroscopy” LINK

“Achieving robustness to temperature change of a NIRS-PLSR model for intact mango fruit dry matter content” LINK

“Application of hyperspectral imaging combined with chemometrics for the non-destructive evaluation of the quality of fruit in postharvest” LINK




Equipment

“Characterization of Deep Green Infection in Tobacco Leaves Using a Hand-Held Digital Light Projection Based Near-Infrared Spectrometer and an Extreme Learning Machine Algorithm” LINK

“MEMS technology for fabricating plasmonic near-infrared spectrometers” LINK

“Sensors, Vol. 20, Pages 545: Development of Low-Cost Portable Spectrometers for Detection of Wood Defects” LINK




Environment

“Classification of Granite Soils and Prediction of Soil Water Content Using Hyperspectral Visible and Near-Infrared Imaging” LINK

“Determining mandatory nutritional parameters for Iberian meat products using a new method based on near infra-red reflectance spectroscopy and data mining” LINK




Agriculture

“Instrumental Procedures for the Evaluation of Juiciness in Peach and Nectarine Cultivars for Fresh Consumption” LINK

“The creation of the FT-NIR calibration for the determination of the amount of corn grain in concentrated feed” LINK

In this 9th clip from his presentation at the 2019 IFS Agronomic Conference, Wouter Saeys explains which type of NIR is best for measuring the nutrient content of manure, and why. Info on this paper is here; it’s free for Society Members to download: LINK

“Remote Sensing, Vol. 12, Pages 928: Machine Learning Algorithms to Predict Forage Nutritive Value of In Situ Perennial Ryegrass Plants Using Hyperspectral Canopy Reflectance Data” LINK

“Development of a Method To Prioritize Protein-Ligand Pairs on Beads Using Protein Conjugated to a Near-IR Dye.” LINK

“Agronomy, Vol. 10, Pages 148: Performance Evaluation of Two Commercially Available Portable Spectrometers to Non-Invasively Determine Table Grape and Peach Quality Attributes” LINK

“Investigation of a Medical Plant for Hepatic Diseases with Secoiridoids Using HPLC and FT-IR Spectroscopy for a Case of Gentiana rigescens” LINK




Food & Feed

“Comparison of sensory evaluation techniques for Hungarian wines” LINK




Laboratory

“Roadmap of cocoa quality and authenticity control in the industry: A review of conventional and alternative methods” LINK





NIR Calibration Service explained

Our Service is different

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

Get NIR Calibrations

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



Use NIR Calibrations

Use NIR Calibrations Workflow
see more Videos


In other words

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

Start Calibrate

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

CalibrationModel.com (CM) versus Others

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

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

See also: pricing

Start Calibrate

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

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

Start Calibrate – NIR Quick Guide

Quick Start NIR Workflow: step by step

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

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

3. With your “NIR device” measurement software:

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

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



Videos


Spectroscopy and Chemometrics News Weekly #34, 2019

CalibrationModel.com

Develop customized NIR applications and freeing up hours of spectroscopy analysts time. chemometric software LINK

Spectroscopy and Chemometrics News Weekly 33, 2019 | NIRS NIR Spectrometer Analytical Chemistry Chemical Analysis Lab Labs Laboratories QAQC Testing Quality LabManager LabManagers laboratory digitalization labdata laboratorydata LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 33, 2019 | NIRS NIR FTNIR Spektroskopie Chemometrie Spektrometer Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysemethode Laborleiter Laboranalyse Qualitätskontrolle LINK

Spettroscopia e Chemiometria Weekly News 33, 2019 | NIRS NIR Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità prediction controllo qualità LINK




Chemometrics

“A Spectral Fitting Algorithm to Retrieve the Fluorescence Spectrum from Canopy Radiance” Remote Sensing RemoteSensing LINK

“A hyperspectral GA-PLSR model for prediction of pine wilt disease” LINK

“Hyperspectral Anomaly Detection via Convolutional Neural Network and Low Rank With Density-Based Clustering” LINK

“Use of near-infrared hyperspectral (NIR-HS) imaging to visualize and model the maturity of long-ripening hard cheeses” LINK

“Identification of lactic acid bacteria Enterococcus and Lactococcus by near-infrared spectroscopy and multivariate classification.” LINK

“A practical convolutional neural network model for discriminating Raman spectra of human and animal blood” LINK

“Non-destructive prediction of texture of frozen/thaw raw beef by Raman spectroscopy” LINK

“Incorporating brand variability into classification of edible oils by Raman spectroscopy” LINK

“Three-way data splits (training, test and validation) for model selection and performance estimation” LINK

“Importance of spatial predictor variable selection in machine learning applications — Moving from data reproduction to spatial prediction.” LINK

“Tracing the dune activation of Badain Jaran Desert and Tengger Desert by using near infrared spectroscopy and chemometrics” LINK




Near Infrared

“On-The-Go VIS + SW – NIR Spectroscopy as a Reliable Monitoring Tool for Grape Composition within the Vineyard.” LINK

“Improved Functional Near Infrared Spectroscopy Enables Enhanced Brain Imaging” fNIR FDNIR LINK

“Estabilishing A Calibration For Neutral Detergent Fiber (NDF) Value by Using Near Infrared Spectroscopy (NIR) in Corn Grain” LINK

“Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis.” LINK

“Strategies for the efficient estimation of soil organic carbon at the field scale with vis-NIR spectroscopy: Spectral libraries and spiking vs. local calibrations” LINK

“Sensomics-from conventional to functional NIR spectroscopy-shining light over the aroma and taste of foods” LINK




Infrared

“Assessment of Spinal Cord Ischemia With Near-Infrared Spectroscopy: Myth or Reality?” LINK

“Identification of antibiotic mycelia residues in cottonseed meal using Fourier transform near-infrared microspectroscopic imaging.” LINK

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

” Identification of Tilletia foetida, Ustilago tritici, and Urocystis tritici Based on Near-Infrared Spectroscopy” LINK

“Assessment of meat freshness and spoilage detection utilizing visible to near-infrared spectroscopy” LINK




Hyperspectral

“Estimating the severity of apple mosaic disease with hyperspectral images” LINK

“Spectral filter design based on in-field hyperspectral imaging and machine learning for mango ripeness estimation” LINK




Equipment

“Feasibility Study of the Use of Handheld NIR Spectrometer for Simultaneous Authentication and Quantification of Quality Parameters in Intact Pineapple Fruits” LINK




Agriculture

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




Forestry

“Near-infrared spectroscopy analysis-a useful tool to detect apple proliferation diseased trees?”LINK

“Evaluation of near infrared spectroscopy to non-destructively measure growth strain in trees” LINK




Other

“Spectral Screening Based on Comprehensive Similarity and Support Vector Machine” LINK

“Aquaphotomics-From Innovative Knowledge to Integrative Platform in Science and Technology.” LINK





Spectroscopy and Chemometrics News Weekly #29, 2019

CalibrationModel.com

Spectroscopy and Chemometrics News Weekly 28, 2019 | NIRS NIR Spectroscopy Chemometrics Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software Sensors QA QC Testing Quality Checking LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 28, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Qualitätslabor LINK

Spettroscopia e Chemiometria Weekly News 28, 2019 | NIRS NIR Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem prediction models LINK

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




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