Spectroscopy and Chemometrics News Weekly #12, 2021

NIR Calibration-Model Services

Develop near infrared spectroscopy applications & freeing up hours of analysts time NIR NIRS QC Lab Laboratories LINK

Reduce Operating Costs & TCO of NIRS NIR-Spectroscopy in the Digitalization Age AnalyticalLabs FoodIndustry FoodScience TestingLab LaboratoryManager LabManager Laboratory Manager qualityassurance AIaaS MLaaS SaaS MachineLearning ML LINK

Spectroscopy and Chemometrics News Weekly 11, 2021 | NIRS NIR Spectroscopy MachineLearning Spectrometer Application Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software Sensors QA QC QualityTesting 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)

“An Evaluation of Different NIR-Spectral Pre-Treatments to Derive the Soil Parameters C and N of a Humus-Clay- Rich Soil” | LINK

“Assessment of frying oil quality by FT-NIR spectroscopy” LINK

“Differentiation between Fresh and Thawed Cephalopods Using NIR Spectroscopy and Multivariate Data Analysis” LINK

“A High Efficiency Trivalent Chromium-Doped Near-Infrared-Emitting Phosphor and Its NIR Spectroscopy Application” LINK

“Machine learning applied as an in-situ monitoring technique for the water content in oil recovered by means of NIR spectroscopy” LINK

“Prediction of a wide range of compounds concentration in raw coffee beans using NIRS, PLS and variable selection” LINK

“Fast and nondestructive determination of simultaneous physicochemical parameters of Manihot esculenta flour using FTNIR spectroscopy and multivariate analysis” LINK

“Intramuscular fat prediction of the semimembranosus muscle in hot lamb carcases using NIR.” LINK

“Fast and non‐destructive determination of simultaneous physicochemical parameters of Manihot esculenta flour using FT‐NIR spectroscopy and multivariate analysis” LINK

“Application of ANOVA-simultaneous component analysis to quantify and characterise effects of age, temperature, syrup adulteration and irradiation on near-infrared (NIR) spectral data of honey” LINK

“Near‐Infrared Spectroscopy (NIRS) and Optical Sensors for Estimating Protein and Fiber in Dryland Mediterranean Pastures” LINK

” Genetic variation of seed phosphorus concentration in winter oilseed rape and development of a NIRS calibration” | LINK

“… condition of leaves during black tea processing via the fusion of electronic eye (E-eye), colorimetric sensing array (CSA), and micro-near-infrared spectroscopy (NIRS)” LINK

“A review of the application of near-infrared spectroscopy (NIRS) in forestry” LINK




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

“Development of a passive optical heterodyne radiometer for near and mid-infrared spectroscopy” LINK

“Investigation of Active Compounds in Black Galingale (Kaempferia parviflora Wall. ex Baker) Using Color Analysis and Near Infrared Spectroscopy Techniques” LINK

” Quality control of milk powder with near-infrared spectroscopy” LINK

” An empirical investigation of deviations from the Beer-Lambert law in near-infrared spectroscopy: A case study of lactate in aqueous solutions, serum, blood and …” LINK

“Understanding the effect of urea on the phase transition of poly (N-isopropylacrylamide) in aqueous solution by temperature- dependent near-infrared spectroscopy” LINK

“Mechanically robust amino acid crystals as fiber-optic transducers and wide bandpass filters for optical communication in the near-infrared” LINK

“Optimal Combination of Band-Pass Filters for Theanine Content Prediction using Near-Infrared Spectroscopy” LINK

“Unlocking the Secrets of Terminalia Kernels Using Near-Infrared Spectroscopy” LINK

“Identification of tomatoes with early decay using visible and near infrared hyperspectral imaging and image‐spectrum merging technique” LINK

“Comparative study of degradation between the carbon black back coat layer and magnetic layer in magnetic audio tapes using attenuated total reflectance Fourier transform infrared spectroscopy and machine learning techniques” LINK

“Predicting grapevine canopy nitrogen status using proximal sensors and nearinfrared reflectance spectroscopy” LINK

“Sensors, Vol. 21, Pages 1413: The Use of a Micro Near Infrared Portable Instrument to Predict Bioactive Compounds in a Wild Harvested FruitKakadu Plum (Terminalia ferdinandiana)” LINK

“Prediction of specialty coffee flavors based on nearinfrared spectra using machine and deeplearning methods” LINK

“Soil characterization by near-infrared spectroscopy and principal component analysis” LINK

“DISCRIMINATION OF INFECTED SILKWORM CHRYSALISES USING NEAR INFRARED SPECTROSCOPY COMBINED WITH MULTIVARIATE ANALYSIS DURING …” LINK

“Evaluation of melon drying using hyperspectral imaging technique in the near infrared region” LINK




Raman Spectroscopy

“Raman spectroscopy in the detection of adulterated essential oils: The case of nonvolatile adulterants” LINK




Hyperspectral Imaging (HSI)

“Combining Multi-Dimensional Convolutional Neural Network (CNN) With Visualization Method for Detection of Aphis gossypii Glover Infection in Cotton Leaves Using Hyperspectral Imaging” LINK




Chemometrics and Machine Learning

“Detection and quantification of cow milk adulteration using portable near-infrared spectroscopy combined with chemometrics” LINK

” Realizing transfer learning for updating deep learning models of spectral data to be used in a new scenario” LINK

“Employing supervised classification techniques in determining playability status of polyesterurethane magnetic audio tapes” LINK

“Detection of Adulteration in Honey by Infrared Spectroscopy and Chemometrics: Effect on Human Health” LINK

“Rapid Biochemical Methane Potential Evaluation of Anaerobic Co-Digestion Feedstocks Based on Near Infrared Spectroscopy and Chemometrics” LINK

“Application of electronic nose with chemometrics methods to the detection of juices fraud” LINK

“Anisotropic effect on the predictability of intramuscular fat content in pork by hyperspectral imaging and chemometrics” LINK

“Nondestructive qualitative and quantitative analysis of Yaobitong capsule using near-infrared spectroscopy in tandem with chemometrics.” LINK




Research on Spectroscopy

“Efficient utilization of date palm waste for the bioethanol production through Saccharomyces cerevisiae strain” LINK

” Spectral data analysis methods for soil properties assessment using remote sensing” DOI: 10.9790/0661-2301011418 LINK




Equipment for Spectroscopy

“Handheld arduino-based near infrared spectrometer for non-destructive quality evaluation of siamese oranges” LINK




Environment NIR-Spectroscopy Application

“Estimation of Soil Salt and Ion Contents Based on Hyperspectral Remote Sensing Data: A Case Study of Baidunzi Basin, China. Water 2021, 13, 559” LINK

“Spectroscopic anatomical mapping of left atrium endocardial substrate and lesion using an optically integrated mapping catheter”LINK

“Predicting the contents of soil salt and major water-soluble ions with fractional-order derivative spectral indices and variable selection” LINK

“Mid-Infrared Spectroscopy Supports Identification of the Origin of Organic Matter in Soils. Land 2021, 10, 215” LINK




Agriculture NIR-Spectroscopy Usage

“Identification and classification of Asian soybean rust using leaf-based hyperspectral reflectance” LINK

“Diagnosis of early blight disease in tomato plant based on visible/near-infrared spectroscopy and principal components analysis-artificial neural network prior to visual …” LINK

“Fourier Transform Infrared Spectroscopy as a Tool to Study Milk Composition Changes in Dairy Cows Attributed to Housing Modifications to Improve Animal Welfare” LINK

“Detection of soil organic matter using hyperspectral imaging sensor combined with multivariate regression modeling procedures” LINK

“Corrigendum to: Optimisation of dry matter and nutrients in feed rations through use of a near-infrared spectroscopy system mounted on a self-propelled feed mixer” LINK

“staling of white wheat bread crumb and effect of maltogenic α-amylases. part 3: spatial evolution of bread staling with time by near infrared hyperspectral imaging” LINK

” Prediction performance of portable near infrared reflectance instruments using preprocessed dried, ground forage samples” LINK




Food & Feed Industry NIR Usage

“Near Infrared (NIR) Spectroscopy as a Tool to Assess Blends Composition and Discriminate Antioxidant Activity of Olive Pomace Cultivars” LINK

“Enhanced moisture loss and oil absorption of deep-fried food by blending extra virgin olive oil in rapeseed oil” LINK




Pharma Industry NIR Usage

“GRAZING PATTERNS, DIET QUALITY, AND PERFORMANCE OF COW-CALF PAIRS GRAZING SHORT GRASS PRAIRIE USING CONTINUOUS OR HIGH …” LINK

“PENDUGAAN KADAR PATCHOULI ALCOHOL PADA MINYAK NILAM HASIL FRAKSINASI MENGGUNAKAN METODE PRINCIPAL COMPONENT REGRESSION” LINK




Medicinal Spectroscopy

“Noninvasive Monitoring of Glucose Using Near-Infrared Reflection Spectroscopy of Skin-Constraints and Effective Novel Strategy in Multivariate Calibration” LINK



Digitization in the field of NIR spectroscopy (smart sensors)

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

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

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

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

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

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

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

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


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

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

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


If interested in using/evaluating the service :

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



see also

Paradigm Change in NIR

Five Mistakes to avoid on Digitalization in NIR

NIR – Total cost of ownership (TCO)

OEM / White Label Software

White Paper



Spectroscopy and Chemometrics News Weekly #40, 2020

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 39, 2020 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK




Near-Infrared Spectroscopy (NIRS)

“Development of a Near Infrared Reflectance Spectroscopy (NIRS) Platform for Rapid Wheat Quality Analysis” LINK

Near infrared spectroscopy (NIRS), however, is relatively cheap (once you have the machine), and non-destructive. In this article, we demonstrate that adequate calibrations can be obtained for total terpene content and some specific terpenoids for pines, spruces and thuja LINK

“Special Issue on Brain Machine/Computer Interface and its Application” fNIRS LINK

“Performance of near-infrared (NIR) spectroscopy in pork shoulder as a predictor for pork belly softness” LINK

“Omega-3 and Omega-6 Determination in Nile Tilapia’s Fillet Based on MicroNIR Spectroscopy and Multivariate Calibration” LINK

“Single-Kernel FT-NIR Spectroscopy for Detecting Supersweet Corn (Zea mays L. Saccharata Sturt) Seed Viability with Multivariate Data Analysis” LINK

“Untargeted classification for paprika powder authentication using visible–Near infrared spectroscopy (VIS-NIRS)” LINK

“Monitoring the composition, authenticity and quality dynamics of commercially available Nigerian fat-filled milk powders under inclement conditions using NIRS, chemometrics, packaging and …” LINK

“Predicting total petroleum hydrocarbons in field soils with Vis–NIR models developed on laboratory‐constructed samples” LINK

“Modeling mass loss of biomass by NIRspectrometry during the torrefaction process” LINK




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

“Rapid determination of the chemical compositions of peanut seed (Arachis hypogaea.) using portable Near-Infrared Spectroscopy” LINK

“Simultaneous detection of trace adulterants in food based on multi-molecular infrared (MM-IR) spectroscopy” LINK

“Monitoring the quality of ethanol-based hand sanitizers by low-cost near-infrared spectroscopy” LINK

“Prediction of neutral detergent fiber content in corn stover using near-infrared spectroscopy technique” LINK

“Applied Sciences, Vol. 10, Pages 5801: Potential Use of Near-Infrared Spectroscopy to Predict Fatty Acid Profile of Meat from Different European Autochthonous Pig Breeds” LINK

“Rapid and non-destructive seed viability prediction using near-infrared hyperspectral imaging coupled with a deep learning approach” LINK

“Multivariate classification for the direct determination of cup profile in coffee blends via handheld near-infrared spectroscopy” LINK

“QUANTITATIVE CHARACTERIZATION OF SUSTAINED RELEASE TABLETS WITH DICLOFENAC SODIUM BY MEANS OF NEAR-INFRARED SPECTROSCOPY AND …” LINK




Raman Spectroscopy

“Raman spectroscopy and machine-learning for edible oils evaluation” LINK




Hyperspectral Imaging (HSI)

“Application of hyperspectral imaging for detecting and visualizing leaf lard adulteration in minced pork” LINK

“Detection of Shape Characteristics of Kiwifruit Based on Hyperspectral Imaging Technology” LINK




Chemometrics and Machine Learning

“A rapid food chain approach for authenticity screening: the development, validation and transferability of a chemometric model using two handheld near infrared spectroscopy …” LINK




Equipment for Spectroscopy

“Principles and applications of miniaturized nearinfrared (NIR) spectrometers” LINK

“A comparison of different optical instruments and machine learning techniques to identify sprouting activity in potatoes during storage” | LINK




Environment NIR-Spectroscopy Application

“Water-based measured-value fuzzification improves the estimation accuracy of soil organic matter by visible and near-infrared spectroscopy.” LINK




Agriculture NIR-Spectroscopy Usage

“In situ effective snow grain size mapping using a compact hyperspectral imager” LINK

“Estimation of soil nitrogen in agricultural regions by VNIR reflectance spectroscopy” LINK




Food & Feed Industry NIR Usage

“Rapid screening of DON contamination in whole wheat meals by Vis/NIR spectroscopy and computer vision coupling technology” LINK

“Quantitative Analysis of Perennial Buckwheat Leaves Protein and GABA Using Near Infrared Spectroscopy” LINK




Laboratory and NIR-Spectroscopy

“Near-infrared laboratory measurements of feldspathic rocks as a reference for hyperspectral Martian remote sensing data interpretation.” LINK




Other

“Determinación de la calidad de carne bovina y la aceptación por parte del consumidor mediante el uso de pruebas con base en infrarrojo cercano” LINK

“Validación de un algoritmo de procesamiento de imágenes Red Green Blue (RGB), para la estimación de proteína cruda en gramíneas vs la tecnología de …” LINK

“IonQ claims it has built the most powerful quantum computer yet” QuantumComputing LINK

“D-Wave’s 5,000-qubit quantum computing platform handles 1 million variables” LINK

“The Sample, the Spectra and the Maths-The Critical Pillars in the Development of Robust and Sound Applications of Vibrational Spectroscopy.” LINK





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NIR Analysis in Laboratory and Laboratories – aka NIR Labs and NIR testing


Do you have a NIR spectrometer in your Lab?

How many other analytics you do in the Lab could be done faster and cheaper with NIR?

Is this possible and precise enough?

Try, we have the solution for you!
You have the NIR, scan the samples, you have the lab values and the spectra, we calibrate for you!

To see if the application is possible and how precise it can be due to knowledge based intensive model optimizations.

We do the NIR feasibility study with data for you. Fixed prices

NIR has huge application potentials and it’s a Green analytical method, that’s fast and easy to use. And has today the possibility to scale out with inexpensive mobile NIR spectrometers.

Bring the Lab to the sample. To avoid sample transport and get immediate results for decision at the place or in the process.

Just try the NIR application, use the NIR daily, collect data in parallel, we develop, optimize and maintain the calibration models for you.

How do you think?

Start Calibrate


What is possible today with NIR?
The number of different Applications exploded in the last 2-3 years!
See NIR research papers news daily on @CalibModel or the 7-day summariesNIR News Weekly” here.

Spectroscopy and Chemometrics News Weekly #37, 2020

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 36, 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 36, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 36, 2020 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl 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)

“NIR Spectroscopic Techniques for Quality and Process Control in the Meat Industry” LINK

“Estimating coefficient of linear extensibility using Vis–NIR reflectance spectral data: Comparison of model validation approaches” LINK

“NIR spectroscopy and chemometric tools to identify high content of deoxynivalenol in barley” LINK

“Combining multivariate method and spectral variable selection for soil total nitrogen estimation by Vis–NIR spectroscopy” LINK

“Multi-task deep learning of near infrared spectra for improved grain quality trait predictions” LINK

“Multi-factor Fusion Models for Soluble Solid Content Detection in Pear (Pyrus bretschneideri ‘Ya’) Using Vis/NIR Online Half-transmittance Technique” LINK

“Determining regression equations for predicting the metabolic energy values of barley-producing cultivars in Iran and comparing the results with the results of NIRS method and cultivars …” LINK

“Using Near-Infrared Reflectance Spectroscopy (NIRS) to Predict Glucobrassicin Concentrations in Cabbage and Brussels Sprout Leaf Tissue” LINK

“Near-Infrared Spectroscopy for Analyzing Changes of Pulp Color of Kiwifruit in Different Depths” LINK

“Novel NIR modeling design and assignment in process quality control of Honeysuckle flower by QbD” LINK




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

“Near-infrared spectroscopy to determine cold-flow improver concentrations in diesel fuel” LINK

“Improving spatial synchronization between X-ray and near-infrared spectra information to predict wood density profiles” LINK

“Functional principal component analysis for near-infrared spectral data: a case study on Tricholoma matsutakeis” LINK

“Midinfrared spectroscopy as a tool for realtime monitoring of ethanol absorption in glycols” LINK

“Inline characterization of dispersion uniformity evolution during a twinscrew blending extrusion based on nearinfrared spectroscopy” LINK

“Development of Fourier Transform near Infrared Spectroscopy Methods for the Rapid Quantification of Starch and Cellulose in Mozzarella and Other Italian-Type CHEESES” LINK

“Prediction of Anthocyanin Content in Three Types of Blueberry Pomace by Near-Infrared Spectroscopy” LINK

“Sweetness Detection and Grading of Peaches and Nectarines by Combining Short-and Long-Wave Fourier-Transform Near-Infrared Spectroscopy” LINK




Spectral Imaging

“Use of UAS Multispectral Imagery at Different Physiological Stages for Yield Prediction and Input Resource Optimization in Corn” Remote Sensing LINK




Chemometrics and Machine Learning

“Combination of visible reflectance and acoustic response to improve nondestructive assessment of maturity and indirect prediction of internal quality of redfleshed pomelo” LINK

“Green Analytical Methods of Antimalarial Artemether-Lumefantrine Analysis for Falsification Detection Using a LowCost Handled NIR Spectrometer with DD-SIMCA and Drug Quantification by HPLC” LINK

“Data fusion of UPLC data, NIR spectra and physicochemical parameters with chemometrics as an alternative to evaluating kombucha fermentation” LINK

“Effect of physicochemical factors and use of milk powder on milk rennet-coagulation: Process understanding by near infrared spectroscopy and chemometrics” LINK

“A Digital Approach to Model Quality and Sensory Traits of Beers Fermented under Sonication Based on Chemical Fingerprinting” LINK

“Latent Variable Graphical Modeling for High Dimensional Data Analysis” LINK




Equipment for Spectroscopy

“Evaluation of Salmon, Tuna, and Beef Freshness Using a Portable Spectrometer” Sensors LINK

“Developing a soil spectral library using a low-cost NIR spectrometer for precision fertilization in Indonesia” LINK

“Compact Solid Etalon Computational Spectrometer: FY19 Optical Systems Technology Line-Supported Program” LINK




Agriculture NIR-Spectroscopy Usage

“Detection of Melamine Adulteration in Milk Powder by Using Optical Spectroscopy Technologies in the Last Decade—a Review” LINK




Horticulture NIR-Spectroscopy Applications

“Accurate non-destructive prediction of peach fruit internal quality and physiological maturity with a single scan using near infrared spectroscopy” LINK

“Recent Advances in Spectral Analysis Techniques for Non-Destructive Detection of Internal Quality in Watermelon and Muskmelon: A Review” “光谱分析在西甜瓜内部品质无损检测中的研究进展” LINK




Food & Feed Industry NIR Usage

“Detection of fraud in highquality rice by nearinfrared spectroscopy” LINK

“Detecting food fraud in extra virgin olive oil using a prototype portable hyphenated photonics sensor” LINK

“Nondestructive detection of sunset yellow in cream based on near-infrared spectroscopy and interval random forest” LINK




Other

“The Detection of Substitution Adulteration of Paprika with Spent Paprika by the Application of Molecular Spectroscopy Tools.” LINK

“The Effect of Monomers on the Recognition Properties of Molecularly Imprinted Beads for Proto-hypericin and Proto-pseudohypericin” | FLOREA GAVRILA 1 20.pdf LINK





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Spectroscopy and Chemometrics News Weekly #33, 2020

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 32, 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 32, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 32, 2020 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl 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)

“Integrated soluble solid and nitrate content assessment of spinach plants using portable NIRS sensors along the supply chain” LINK

“Evaluation of Near Infrared Spectroscopy (NIRS) and Remote Sensing (RS) for Estimating Pasture Quality in Mediterranean Montado Ecosystem” LINK

“Evaluation of Homogeneity in Drug Seizures Using Near-Infrared (NIR) Hyperspectral Imaging and Principal Component Analysis (PCA)”LINK

“FT-NIRS Coupled with PLS Regression as a Complement to HPLC Routine Analysis of Caffeine in Tea Samples” Foods LINK




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

“Model based optimization of transflection near infrared spectroscopy as a process analytical tool in a continuous flash pasteurizer” LINK

“EXPRESS: Monitoring Polyurethane Foaming Reactions Using Near-Infrared Hyperspectral Imaging” LINK

“Near-infrared spectroscopy for monitoring free jejunal flap.” LINK

“Real-Time and Online Inspection of Multiple Pork Quality Parameters Using Dual-Band Visible/N ear-Infrared Spectroscopy” LINK

“An approach to quantify natural durability of Eucalyptus bosistoana by near infrared spectroscopy for genetic selection” LINK

“Rapid detection of green pea adulteration in ground pistachio nuts using near and mid-infrared spectroscopy” LINK

“Non‐invasive quality analysis of thawed tuna using near infrared spectroscopy with baseline correction” LINK




Raman Spectroscopy

“Low-Content Quantitation in Entecavir Tablets Using 1064 nm Raman Spectroscopy” LINK




Hyperspectral Imaging (HSI)

“Detecting defects on cheese using hyperspectral image analysisLINK

“Non-destructive discrimination of the variety of sweet maize seeds based on hyperspectral image coupled with wavelength selection algorithm” LINK

“Hyperspectral Imaging from a Multipurpose Floating Platform to Estimate Chlorophyll-a Concentrations in Irrigation Pond Water” Remote Sensing LINK

“Alfalfa Yield Prediction Using UAV-Based Hyperspectral Imagery and Ensemble Learning” LINK




Chemometrics and Machine Learning

“Maintaining the predictive abilities of near-infrared spectroscopy models for the determination of multi-parameters in White Paeony Root” LINK

“Machine Learning Modeling of Wine Sensory Profiles and Color of Vertical Vintages of Pinot Noir Based on Chemical Fingerprinting, Weather and Management Data” Sensors LINK

“Authentication of the Geographical Origin of “Vallerano” Chestnut by Near Infrared Spectroscopy Coupled with Chemometrics” LINK




Agriculture NIR-Spectroscopy Usage

“Relationship between chemical composition and standardized ileal digestible amino acid contents of corn grain in broiler chickens” LINK

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

“Determination of mechanical properties of whey protein films during accelerated aging: Application of FTIR profiles and chemometric tools” LINK

“A portable IoT NIR spectroscopic system to analyze the quality of dairy farm forage” LINK

“Exploring Relevant Wavelength Regions for Estimating Soil Total Carbon Contents of Rice Fields in Madagascar from Vis-NIR Spectra with Sequential Application of …” LINK

“Applied Sciences, Vol. 10, Pages 4345: Observation of Potential Contaminants in Processed Biomass Using Fourier Transform Infrared Spectroscopy” LINK

“Animals, Vol. 10, Pages 1095: Comparison of Fatty Acid Proportions Determined by Mid-Infrared Spectroscopy and Gas Chromatography in Bulk and Individual Milk Samples” LINK

“Manipulation of Fruit Dry Matter via Seasonal Pruning and Its Relationship to dAnjou Pear Yield and Fruit Quality” Agronomy 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

“Analysis of sorghum content in corn–sorghum flour bioethanol feedstock by near infrared spectroscopy” LINK

“Quantitative detection of fatty acid value during storage of wheat flour based on a portable near-infrared (NIR) spectroscopy system” LINK

“Integration of spectra and image features of Vis/NIR hyperspectral imaging for prediction of deoxynivalenol contamination in whole wheat flour” LINK

“Ongoing Research on Microgreens: Nutritional Properties, Shelf-Life, Sustainable Production, Innovative Growing and Processing Approaches” Foods LINK




Pharma Industry NIR Usage

“Direct Catalytic Fuel Cell Device Coupled to Chemometric Methods to Detect Organic Compounds of Pharmaceutical and Biomedical Interest” Sensors LINK




Laboratory and NIR-Spectroscopy

“Application of infrared microscopy and alternating least squares to the forensic analysis of automotive paint chips” LINK




Other

“Phenotypic plasticity and nonstructural carbohydrates in annual growth rings of the australian red cedar clones in contrasting enviroments” LINK





Spectroscopy and Chemometrics News Weekly #31, 2020

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 30, 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 30, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 30, 2020 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl 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)

“Classifying Wood Properties of Loblolly Pine Grown in Southern Brazil Using NIR-Hyperspectral Imaging” Forests LINK

“Application of Fourier Transform Near-Infrared (FT-NIR) and Fourier Transform Infrared (FT-IR) Spectroscopy Coupled with Wavelength Selection for Fast Discrimination of Similar Color of Tuber Flours” LINK

“Aseguramiento de la calidad y autentificación de vinagres de vino mediante sensores NIRS” LINK

“One leaf for all: Chemical traits of single leaves measured at the leaf surface using Near infrared‐reflectance spectroscopy (NIRS)” LINK

“On-Chip Laser-Absorptionsspektrometer macht kleines Analysegerät möglich” NIR VIS LINK

Some new results on near infrared spectroscopy for detecting sporozoites in malaria vectors. We tested the method using mosquitoes infected with Pl. falciparum field isolates from asymptomatic gametocyte carriers in Kilifi, Kenya. KEMRI_Wellcome NIRS LINK

“One leaf for all: Chemical traits of single leaves measured at the leaf surface using Near infraredreflectance spectroscopy (NIRS)” LINK




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

“Near-infrared spectroscopy with linear discriminant analysis for green’Robusta’coffee bean sorting.” LINK

“Rapid detection of green pea adulteration in ground pistachio nuts using near and mid-infrared spectroscopy” LINK

“Water-Soluble Carbohydrates of Cool-Season Grasses: Prediction of Concentrations by Near-Infrared Reflectance Spectroscopy and Evaluation of Effects of Genetics, Management, and Environment.” LINK

“Rapid authentication of Pseudostellaria heterophylla (Taizishen) from different regions by near-infrared spectroscopy combined with chemometric methods.” LINK




Hyperspectral Imaging (HSI)

“Hyperspectral characterization of reepithelialization in an in vitro wound model” LINK




Chemometrics and Machine Learning

“Comparisons the prediction results of soil properties based on Fuzzy C-means clustering and expert knowledge from laboratory Vis-NIR spectroscopy data” LINK

“Near-infrared spectroscopy combined with chemometrics for quality control of German chamomile (Matricaria recutita L.) and detection of its adulteration by related …” LINK

“A novel method to rapidly evaluate the quality of the traditional Chinese medicine Gentiana straminea Maxim. using near infrared spectroscopy coupled with chemometrics” LINK

“Prediction of strength properties of poplar alkaline peroxide mechanical pulp using near infrared spectroscopy and multivariate calibration” LINK

“Wavelet based calibration model building of NIR Spectroscopy for in-situ measurement of granule moisture content during fluidized bed drying” LINK

“Novel Application of Near-infrared Spectroscopy and Chemometrics Approach for Detection of Lime Juice Adulteration” LINK

“Combination of efficient signal pre-processing and optimal band combination algorithm to predict soil organic matter through visible and near-infrared spectra.” LINK




Equipment for Spectroscopy

“Handheld Near-Infrared Spectrometers: Reality and Empty Promises” LINK

“Quality assessment of instant green tea using portable NIR spectrometer.” Caffeine Catechin LINK




Environment NIR-Spectroscopy Application

“… Digital Soil Mapping models and their evaluation: A numerical experiment on Quantile Random Forest using clay contents obtained from Vis-NIR-SWIR hyperspectral …” LINK

“Physicochemical and Mineralogical Characterization of the Mediterranean Soils of Triffa Plain (Northeast of Morocco) by the Physicochemical Analysis, X-ray Diffraction and Vis-NIR Spectroscopy” LINK

“A deep learning CNN architecture applied in smart near-infrared analysis of water pollution for agricultural irrigation resources” LINK




Agriculture NIR-Spectroscopy Usage

“Feasibility study for the surface prediction and mapping of phytonutrients in minimally processed rocket leaves (Diplotaxis tenuifolia) during storage by hyperspectral …” LINK

“Sensors, Vol. 20, Pages 3438: A Compact Mid-Infrared Spectroscopy System for Healthcare Applications Based on a Wavelength-Swept, Pulsed Quantum Cascade Laser” LINK

“Near-infrared reflectance spectroscopy as a tool for breeding Andropogon gayanusKunth for forage quality” DOI: 10.9790/2380-1306015766 LINK

“Near infrared (NIR) spectroscopy as a rapid and cost-effective method for nutrient analysis of plant leaf tissues” LINK

Another fruitful collaboration with with Jeremy’s Honours literature review forms the basis of a review article in Advances in Agronomy LINK

“Vis/NIR hyperspectral imaging distinguishes sub-population, production environment, and physicochemical grain properties in rice” LINK

“Remote Sensing, Vol. 12, Pages 1920: Non-Destructive Early Detection and Quantitative Severity Stage Classification of Tomato Chlorosis Virus (ToCV) Infection in Young Tomato Plants Using VisNIR Spectroscopy” LINK




Horticulture NIR-Spectroscopy Applications

“Empirical approach to improve the prediction of soluble solids content in mango using near-infrared spectroscopy.” LINK

“Non-Destructive Quality Characterization of Peach Fruit Using Vis/NIR Spectroscopy and Multivariate Analyzing” LINK




Food & Feed Industry NIR Usage

“Development of local calibrations for the nutritional evaluation of fish meal and meat & bone meal by using near-infrared reflectance spectroscopy” LINK

“Evaluation of a hand‐held spectrophotometer as an in‐field phenotyping tool for tomato and pepper fruit quality” LINK




Other

“Ammonia Sensor Based on Vapor Phase Polymerized Polypyrrole” LINK

“Evaluation of near nfrared spectroscopy for sporozoite detection in mosquitoes infected with wild-strain parasites from asymptomatic gametocyte carriers in Kilifi Kenya” LINK



Spectroscopy and Chemometrics News Weekly #30, 2020

NIR Calibration-Model Services

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

Spectroscopy and Chemometrics News Weekly 29, 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 29, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 29, 2020 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK

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




Near-Infrared Spectroscopy (NIRS)

“Non-Destructive Determination of Quality Traits of Cashew Apples (Anacardium Occidentale, L.) Using a Portable near Infrared Spectrophotometer” LINK

“Non-destructive classification and prediction of aflatoxin-B1 concentration in maize kernels using Vis–NIR (400–1000 nm) hyperspectral imaging” LINK

“Determination of glucose content with a concentration within the physiological range by FT-NIR spectroscopy in a trans-reflectance mode” LINK

“Evaluating taste-related attributes of black tea by micro-NIRS” LINK




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

“Rapid authentication of Pseudostellaria heterophylla (Taizishen) from different regions by nearinfrared spectroscopy combined with chemometric methods” LINK

“Agronomy, Vol. 10, Pages 828: Estimating Sensory Properties with Near-Infrared Spectroscopy: A Tool for Quality Control and Breeding of Calçots (Allium cepa L.)” LINK

“Spectral observation of agarwood by infrared spectroscopy: The differences of infected and normal Aquilaria microcarpa” LINK

“Quantitative near infrared spectroscopic analysis of Tricholoma matsutake based on information extraction using the elastic net” LINK

“Visible-near infrared spectroscopy for detection of blood in sheep faeces” LINK

” … dans le proche infrarouge et techniques de chimiométrie Detection of addition of barley to coffee using near infrared spectroscopy and chemometric techniques” LINK

“Forests, Vol. 11, Pages 644: A Comparison of the Loading Direction for Bending Strength with Different Wood Measurement Surfaces Using Near-Infrared Spectroscopy” LINK

“Rapid assessment of soil condition in Kenya through development of near infrared spectral indicatators” LINK




Chemometrics and Machine Learning

“Determination of apple varieties by near infrared reflectance spectroscopy coupled with improved possibilistic Gath–Geva clustering algorithm” LINK

“Two-Dimensional Correlation Spectroscopy: The Power of Power Spectra” LINK

“Simple and fast spectrophotometric method based on chemometrics for the measurement of multicomponent adsorption kinetics” LINK

“Real time detection of amphetamine in oral fluids by MicroNIR/Chemometrics.” LINK

“In‐vitro digestion of the bioactives originating from the Lamiaceae family herbal teas: A kinetic and PLS modeling study” LINK

“Models for predicting the within-tree and regional variation of tracheid length and width for plantation loblolly pine” LINK




Research on Spectroscopy

“Study on rapid quality analysis method of Shengxuebao Mixture” LINK

“MD dating: molecular decay (MD) in pinewood as a dating method” LINK

Altersbestimmung von Holz mittels FTIR-Spektroskopie: Durch die Zusammenarbeit von Holz-, Materialwissenschaftler*innen und Statistikern konnte nach über 70 Jahren eine dritte Datierungsmethode neben der Jahrringanalyse und der Radiokarbonmethode im… LINK




Equipment for Spectroscopy

“Quality assessment of instant green tea using portable NIR spectrometer.” LINK




Process Control and NIR Sensors

“From powder to tablets: Investigation of residence time distributions in a continuous manufacturing process train as basis for continuous process verification” LINK

“Non-destructive, non-invasive, in-line real-time phase-based reflectance for quality monitoring of fruit” LINK




Agriculture NIR-Spectroscopy Usage

“Estimating soil organic carbon density in Northern China’s agro-pastoral ecotone using vis-NIR spectroscopy” LINK

“Retrieval of aboveground crop nitrogen content with a hybrid machine learning method” LINK

“Prediction of Soil Oxalate Phosphorus using Visible and Near-Infrared Spectroscopy in Natural and Cultivated System Soils of Madagascar” LINK

“Sensors, Vol. 20, Pages 3208: Precise Estimation of NDVI with a Simple NIR Sensitive RGB Camera and Machine Learning Methods for Corn Plants” LINK

“The application of R language in the selection of characteristic bands for the prediction of protein content in milk powder by Near Infrared Spectroscopy” LINK

“Onsite nutritional diagnosis of tea plants using micro near-infrared spectrometer coupled with chemometrics” LINK




Horticulture NIR-Spectroscopy Applications

“Improving the accuracy of near-infrared (NIR) spectroscopy method to predict the oil content of oil palm fresh fruits” LINK




Laboratory and NIR-Spectroscopy

“Non-destructive determination of apple quality parameters of variety’red jonaprince’using near infrared spectroscopy.” LINK

“Laboratory Methods for Evaluating Forage Quality” LINK




Other

“Automatic Walnut Sorting System Based on Adaptive Fuzzy Control” LINK

“Industrial gas chromatographs” LINK





Spectroscopy and Chemometrics News Weekly #29, 2020

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 28, 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 28, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 28, 2020 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl 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)

“Non-invasive method to identify the type of green tea inside teabag using NIR spectroscopy, support vector machines and Bayesian optimization” LINK

“Online milk composition analysis with an on-farm near-infrared sensor” LINK

“Anonymous fecal sampling and NIRS studies of diet quality: Problem or opportunity?” LINK

“Organic and Symbiotic Fertilization of Tomato Plants Monitored by Litterbag-NIRS and Foliar-NIRS Rapid Spectroscopic Methods Running title: Litterbag-NIRS and Foliar-NIRS model in symbiotic tomato” LINK

“Determination of crude protein and metabolized energy with near infrared reflectance spectroscopy (NIRS) in ruminant mixed feeds” LINK




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

“Near Infrared Spectroscopy as an efficient tool for the Qualitative and Quantitative Determination of Sugar Adulteration in Milk” | LINK

“NEAR INFRARED SPECTROSCOPY AS A NEW FIRE SEVERITY METRIC” by Bushfire and Natural Hazards CRC LINK

“Near-infrared spectroscopy for the concurrent quality prediction and status monitoring of gasoline blending” LINK

“Application of Selective Near Infrared Spectroscopy for Qualitative and Quantitative Prediction of Water Adulteration in Milk” LINK

“Predicting Macronutrient of Baby Food using Near-infrared Spectroscopy and Deep Learning Approach” LINK

“Detection of heat treatment of honey with near infrared spectroscopy” LINK

“Use of near infrared spectroscopy in cotton seeds physiological quality evaluation” LINK

“Detection of Haemonchus contortus nematode eggs in sheep faeces using near and mid-infrared spectroscopy” LINK

“Feasibility of using near-infrared measurements to detect changes in water quality” LINK




Hyperspectral Imaging (HSI)

“Hyperspectral waveband selection algorithm based on weighted maximum relevance minimum redundancy and its stability analysis” LINK




Chemometrics and Machine Learning

“Comparative quantification of chlorophyll and polyphenol levels in grapevine leaves sampled from different geographical locations” LINK

“Screening method for determination of C18:1 trans fatty acids positional isomers in chocolate by 1H NMR and chemometrics” LINK

“Combination of efficient signal pre-processing and optimal band combination algorithm to predict soil organic matter through visible and near-infrared spectra” LINK

“A chemometric approach to the evaluation of the ageing ability of red wines” LINK

“Determination of Loline Alkaloids and Mycelial Biomass in Endophyte-Infected Schedonorus Pratensis by Near-Infrared Spectroscopy and Chemometrics” LINK

“A Feasible Approach to Detect Pesticides in Food Samples Using THz-FDS and Chemometrics” LINK

“Prediction of Soluble Solids Content in Green Plum by Using a Sparse Autoencoder” LINK




Process Control and NIR Sensors

“Real-time and field monitoring of the key parameters in industrial trough composting process using a handheld near infrared spectrometer” LINK




Environment NIR-Spectroscopy Application

“Detection and analysis of soil water content based on experimental reflectance spectrum data” LINK

” International Soil and Water Conservation Research” | LINK




Agriculture NIR-Spectroscopy Usage

“Detecting Low Concentrations of Nitrogen-Based Adulterants in Whey Protein Powder Using Benchtop and Handheld NIR Spectrometers and the Feasibility of Scanning through Plastic Bag.” LINK

“Assessment of the genetic diversity of sweetpotato germplasm collections for protein content” LINK

“Near-infrared spectroscopy and imaging in protein research” LINK

“Foods, Vol. 9, Pages 710: Application of ATR-FT-MIR for Tracing the Geographical Origin of Honey Produced in the Maltese Islands” LINK

“Agriculture, Vol. 10, Pages 193: Content of Polyphenolic Compounds and Antioxidant Potential of Some Bulgarian Red Grape Varieties and Red Wines, Determined by HPLC, UV, and NIR Spectroscopy” LINK

“Agronomy, Vol. 10, Pages 787: Assessing Soil Key Fertility Attributes Using a Portable X-Ray Fluorescence: A Simple Method to Overcome Matrix Effect” LINK




Food & Feed Industry NIR Usage

“Non‑destructive testing technology for raw eggs freshness: a review” LINK

“Quantification of multiple adulterants in beef protein powder by FT-NIR” LINK




Beverage and Drink Industry NIR Usage

“Beer Aroma and Quality Traits Assessment Using Artificial Intelligence” LINK




Other

“Tetrahedral Mn4+ as chromophore in sillenite-type compounds” LINK




Spectroscopy and Chemometrics News Weekly #28, 2020

NIR Calibration-Model Services

Services for professional Development of Near-Infra-Red Spectroscopy Calibration Methods | NIRS Lab testing method food LINK

Spectroscopy and Chemometrics News Weekly 27, 2020 | NIRS NIR Spectroscopy MachineLearning Spectrometer Analytical Chemistry ag Food Dairy Analysis Lab Labs Laboratories Laboratory IoT Sensors QA QC material testing quality safety LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 27, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 27, 2020 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK




Near-Infrared Spectroscopy (NIRS)

“NEAR-INFRARED SPECTROSCOPY AS A RAPID AND SIMULTANEOUS ASSESSMENT OF AGRICULTURAL GROUNDWATER QUALITY PARAMETERS / NEAR INFRARED SPECTROSCOPY SEBAGAI METODE CEPAT DAN SIMULTAN UNTUK PREDIKSI KUALITAS AIR TANAH LAHAN PERTANIAN” LINK

“How well can near infrared reflectance spectroscopy (NIRS) measure sediment organic matter in multiple lakes?” LINK

“Assessment of Embryonic Bioactivity through Changes in the Water Structure Using Near-Infrared Spectroscopy and Imaging” LINK




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

“Applied Sciences, Vol. 10, Pages 3722: FTIR-ATR Spectroscopy Combined with Multivariate Regression Modeling as a Preliminary Approach for Carotenoids Determination in Cucurbita Spp.” LINK

“At-line Prediction of Gelatinized Starch and Fiber Fractions in Extruded Dry Dog Food Using Different Near-Infrared Spectroscopy Technologies” LINK

“Near-infrared Prediction of Edible Oil Frying Times Based on Bayesian Ridge Regression” LINK

“Estimating wood moisture by near infrared spectroscopy: Testing acquisition methods and wood surfaces qualities” LINK




Chemometrics and Machine Learning

“Determination of Loline Alkaloids and Mycelial Biomass in Endophyte-Infected Schedonorus Pratensis by Near-Infrared Spectroscopy and Chemometrics” LINK

“Quantification of extra virgin olive oil adulteration using smartphone videos.” LINK

“Discrimination of legal and illegal Cannabis spp . according to European legislation using near infrared spectroscopy and chemometrics” LINK

“A comparison of chemometrics classification tools for identification of perirenal fat in lambs.” LINK

“Simultaneous Quantitative Analysis of K + and Tl + in Serum and Drinking Water Based on UV-Vis Spectra and Chemometrics” LINK

“Combination of spectra and texture data of hyperspectral imaging for prediction and visualization of palmitic acid and oleic acid contents in lamb meat” LINK

“NIR hyperspectral imaging coupled with chemometrics for nondestructive assessment of phosphorus and potassium contents in tea leaves” LINK

“Non-destructive genotypes classification and oil content prediction using near-infrared spectroscopy and chemometric tools in soybean breeding program” LINK

“Predicting milk mid-infrared spectra from first-parity Holstein cows using a test-day mixed model with the perspective of herd management” LINK




Research on Spectroscopy

“An efficient method to quantitatively detect competitive adsorption of DNA on single-walled carbon nanotube surfaces” LINK




Equipment for Spectroscopy

“Determination of Ethanol in Alcoholic Drinks: Flow Injection Analysis with Amperometric Detection Versus Portable Raman Spectrometer” LINK

“Micro-Electro-Mechanical System Fourier Transform Infrared (MEMS FT-IR) Spectrometer Under ModulatedPulsed Light Source Excitation” LINK

“Theae nigrae folium: Comparing the analytical performance of benchtop and handheld near-infrared spectrometers” LINK




Agriculture NIR-Spectroscopy Usage

“Fermentation, Vol. 6, Pages 56: Beer Aroma and Quality Traits Assessment Using Artificial Intelligence” LINK

“Optimization of modeling conditions for near infrared measurement of protein content in milk by orthogonal array design.” LINK

“Soil organic matter in various land uses and management, and its accuracy measurement using near infrared technology” LINK

“Lettuce plant health assessment using UAV-based hyperspectral sensor and proximal sensors” LINK

“Effects of planting density on nutritive value, dry matter yield, and predicted milk yield of dairy cows from 2 brown midrib forage sorghum hybrids” LINK




Horticulture NIR-Spectroscopy Applications

“Non-Destructive Detection of Strawberry Quality Using Multi-Features of Hyperspectral Imaging and Multivariate Methods” LINK

“A simple and nondestructive approach for the analysis of soluble solid content in citrus by using portable visible to near-infrared spectroscopy.” LINK




Food & Feed Industry NIR Usage

“Hyperspectral monitor on chlorophyll density in winter wheat (Triticum aestivum L.) under water stress” LINK

“Assessment of Biochemical and Seed Quality Traits in Hulless Barley Germplasm” LINK




Beverage and Drink Industry NIR Usage

“Online determination of coffee roast degree toward controlling acidity” LINK




Other

“Improvement on curing performance and morphology of E5I/TPGDA mixture in a free radical-cationic hybrid photopolymerization system” LINK

“Color analysis and detection of Fe minerals in multi-mineral mixtures from acid-alteration environments” LINK

“Growth and maturity of Longnose Skates (Raja rhina) along the North American West Coast” LINK





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