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 #50, 2020

NIR Calibration-Model Services

Develop NIR analytical methods for food and dairy matrices | laboratories laboratories dairyfood fooddairy LINK

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! LINK

NIR Machine Learning as a Service, a Game Changer for Productivity and Accuracy/Precision! ( NIRS Spectroscopy AI MLaaS ) LINK

NIR-Spectroscopy Method-Development Cost-Comparison To save Time and Money in NIR-spectroscopy, use a Digital Expert Service to build spectroscopic calibration models. LINK

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Spectroscopy and Chemometrics News Weekly 49, 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)

“Low-cost handheld NIR spectroscopy for identification of organic solvents and low-level quantification of water contamination” LINK

“Determination of Leaf Water Content by a Portable NIRS System based on Deep Learning and Information Fusion Analysis” LINK

“NIR Spectroscopy Detects Chlorpyrifos-Methyl Pesticide Residue in Rough, Brown, and Milled Rice” LINK

“Nondestructive evaluation of soluble solids content in tomato with different stage by using Vis/NIR technology and multivariate algorithms” LINK

“Minimum Variance based-Bayes Combination for Prediction of soil properties on Vis-NIR Reflectance Spectroscopy” LINK

“NIR spectroscopy of natural medicines supported by novel instrumentation and methods for data analysis and interpretation.” LINK




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

“Determination of total nitrogen content in fresh leaves and leaf powder of Dendrobium orchids using near-infrared spectroscopy” LINK

“A near-infrared spectroscopy-based end-point determination method for the blending process of Dahuang soda tablets.” LINK

“Performance Evaluation of Preprocessing Techniques for Near-Infrared Spectroscopy Signals” LINK

“Rapid Quality Control of Woodchip Parameters Using a Hand-Held Near Infrared Spectrophotometer” LINK

“Food Authentication: Determination of the geographical origin of almonds (Prunus dulcis Mill.) via near-infrared spectroscopy” LINK

“Brand classification of detergent powder using near-infrared spectroscopy and extreme learning machines” LINK

“Evaluation of physiological properties and texture trait of durian pulp using pulp and intact fruit spectra by near infrared spectroscopic technique” LINK

“Chemometric Approach to a Rapid Attenuated Total Reflection Fourier Transform Infrared Red Analysis of Complex Heroin-Based Mixtures” LINK

“Exploring the feasibility of wavelength modulated near-infrared spectroscopy.” LINK

“Detection for Frying Times of Various Edible Oils Based on Near-Infrared Spectroscopy” LINK




Chemometrics and Machine Learning

“Quality control of Notopterygii rhizoma et radix using near infrared spectroscopy and chemometrics” LINK

“Using a multivariate regression model and hyperspectral reflectance data to predict soil parameters of Agra, India” LINK

“Determination of Total Flavonoid Content in Medicinal Plant Leaves Powder Using Infrared Spectroscopy and Chemometrics” LINK

“Semi-Supervised Learning based Calibration Model Building of NIR spectroscopy for In-Situ Measurement of Biochemical Processes under Insufficiently and …” LINK




Equipment for Spectroscopy

“Milk Components by in-Line Fiber Optic Probe-Based FT-NIR: Commercial Scale Evaluation of a Potential Alternative Measurement Approach for Milk Payment” LINK

“Evaluation of a micro-spectrometer for the real-time assessment of liver graft with mild-to-moderate macrosteatosis: A proof of concept study” LINK




Agriculture NIR-Spectroscopy Usage

“Nutrients Leaching in Response to Long-Term Fertigation and Broadcast Nitrogen in Blueberry Production” Plants LINK

“Estimation of relative feed value, relative forage quality and net energy lactation values of some roughage samples by using near infrared reflectance spectroscopy” LINK

“Comparison of Spectroscopic Techniques for Determining the Peroxide Value of 19 Classes of Naturally Aged, Plant-Based Edible Oils” LINK

“In-Situ Screening of Soybean Quality with a Novel Handheld Near-Infrared Sensor” Sensors LINK

“Comparison of Spectroscopic Techniques for Determining the Peroxide Value of 19 Classes of Naturally Aged, Plant-Based Edible Oils.” LINK




Horticulture NIR-Spectroscopy Applications

“Effect of pressing and impacting bruises on optical properties of kiwifruit flesh” LINK

“Assessment of Bioactive Phenolic Compounds and Antioxidant Activity of Blackberry Wines” LINK




Food & Feed Industry NIR Usage

“Wheat Kernel Variety Identification Based on a Large Near-Infrared Spectral Dataset and a Novel Deep Learning-Based Feature Selection Method” LINK




Pharma Industry NIR Usage

“Effect of low vs. high haemoglobin transfusion trigger on cardiac output in patients undergoing elective vascular surgery: post‐hoc analysis of a randomised trial” LINK





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Spectroscopy and Chemometrics News Weekly #48, 2020

NIR Calibration-Model Services

Do you use Molecular Spectroscopy with Multivariate Regression Models? That will save you development time LINK

Using cost saving NIR-Spectroscopy Analysis? You can Save even more Costs and Time! How? Read here | VIS NIR NIRS Spectroscopy LabManager Analysis Labs QualityControl CostSaving foodindustry foodproduct Spectrometer Sensor Analytics IoT LINK

Spectroscopy and Chemometrics News Weekly 47, 2020 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK

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Near-Infrared Spectroscopy (NIRS)

“Influence of forage particle size and residual moisture on near infrared reflectance spectroscopy (NIRS) calibration accuracy for macro-mineral determination” LINK

“Rapid detection of adulteration in Dendrobium Huoshanense using NIR spectroscopy coupled with chemometric methods” LINK

“Using near-infrared spectroscopy to discriminate closely related species: A case study of neotropical ferns” LINK

“Temperature-dependent, VIS-NIR reflectance spectroscopy of sodium sulfates” LINK




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

“Using near-infrared spectroscopy to determine intramuscular fat and fatty acids of beef applying different prediction approach.” LINK

“Estimating the sensory qualities of tomatoes using visible and near-infrared spectroscopy and interpretation based on gas chromatography–mass …” LINK

“Near Infrared Spectroscopy-Based Evaluation of Patellar Tendon and Knee Ligaments” LINK

“Predictive capacity of some wood properties by near-infrared spectroscopy” LINK

“Predicting Marian Plum Fruit Quality without Environmental Condition Impact by Handheld Visible–Near-Infrared Spectroscopy” LINK

“Near infrared reflectance spectroscopy to quantify Perkinsus marinus infecting Crassostrea virginica” LINK

“Application of genetic algorithm and multivariate methods in detection and measurement of milk‐surfactant adulteration by attenuated total reflection and near‐infrared spectroscopy” LINK

“Classifying Thermal Degradation of Polylactic Acid by Using Machine Learning Algorithms Trained on Fourier Transform Infrared Spectroscopy Data” LINK

“Classification Option for Korean Traditional Paper Based on Type of Raw Materials, Using Near-infrared Spectroscopy and Multivariate Statistical Methods” LINK

“Rapid and simultaneous quality analysis of the three active components in Lonicerae Japonicae Flos by near-infrared spectroscopy” LINK

“Determination of Adenosine and Cordycepin Concentrations in Cordyceps militaris Fruiting Bodies Using Near-Infrared Spectroscopy” LINK

“Application of near-infrared hyperspectral imaging for variety identification of coated maize kernels with deep learning” LINK




Hyperspectral Imaging (HSI)

Konica Minolta to acquire Specim, the leading global supplier of hyperspectral imaging.   “Konica Minolta shares our vision and values and will greatly support our business through improved sell-through,” said Tapio Kallonen, CEO of Specim LINK

“Research on Citrus grandis Granulation Determination Based on Hyperspectral Imaging through Deep Learning” LINK

Wavelength Selection Method Based on Partial Least Square from Hyperspectral Unmanned Aerial Vehicle Orthomosaic of Irrigated Olive Orchards” LINK




Chemometrics and Machine Learning

“Fractional order modeling and recognition of nitrogen content level of rubber tree foliage” LINK

“Development of multi-product calibration models of various root and tuber powders by fourier transform near infra-red (FT-NIR) spectroscopy for the quantification of …” LINK

“Detection and Quantification of Tomato Paste Adulteration Using Conventional and Rapid Analytical Methods” LINK

“Prediction of Acidity Level of Avomango (Gadung Klonal 21) Using Local Polynomial Estimator” LINK

“A comparison of 4 different machine learning algorithms to predict lactoferrin content in bovine milk from mid-infrared spectra” LINK

“Spectrometric Classification of Bamboo Shoot Species by Comparison of Different Machine Learning Methods” LINK

Supporting the Sensory Panel to Grade Virgin Olive Oils: An In-House-Validated Screening Tool by Volatile Fingerprinting and Chemometrics” LINK




Process Control and NIR Sensors

“A Process Analytical Concept for In-Line FTIR Monitoring of Polysiloxane Formation” Polymers LINK




Agriculture NIR-Spectroscopy Usage

“Vis–NIR spectroscopy: from leaf dry mass production estimate to the prediction of macro-and micronutrients in soybean crops” LINK

“Comparison of benchtop and handheld near‐infrared spectroscopy devices to determine forage nutritive value” LINK




Food & Feed Industry NIR Usage

“Rapid Authentication of 100% Italian Durum Wheat Pasta by FT-NIR Spectroscopy Combined with Chemometric Tools” LINK

“Identification of Corn Seeds with Different Freezing Damage Degree Based on Hyperspectral Reflectance Imaging and Deep Learning Method” LINK

“Near-and mid-infrared determination of some quality parameters of cheese manufactured from the mixture of different milk species” LINK

“Portable NIR spectrometer for quick identification of fat bloom in chocolates.” LINK




Laboratory and NIR-Spectroscopy

“A Novel Spectral Matching Approach for Pigment: Spectral Subsection Identification Considering Ion Absorption Characteristics” LINK




Other

“Development of a novel quantitative function between spectral value and metmyoglobin content in Tan mutton” LINK

” 基于稀疏网络的可见光/近红外反射光谱土壤有机质含量估算” LINK

“基于可见-近红外光谱的茄子叶绿素荧光参数 Fv/Fm 预测方法” LINK

“A Miniaturized and Fast System for Thin Film Thickness Measurement” LINK

“Molecular spectroscopy with optical frequency combs” LINK





Spectroscopy and Chemometrics News Weekly #46, 2020

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 45, 2020 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Feed Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK

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




Near-Infrared Spectroscopy (NIRS)

“Predicting soil physical and chemical properties using vis-NIR in Australian cotton areas” LINK

“Monitoring of different metabolic states of Sacchoromyces cerevisiae via NIR spectroscopy at low biomass concentration” LINK

“Measurement of Moisture Content in Lubricating Oils of High-speed Rail Gearbox by Vis-NIR Spectroscopy” LINK

“Investigating FT-NIR Spectral and Color Properties of Lysozyme-Chitosan Coated Egg Freshness during Storage” LINK

“Discrimination of Yellowfin Tuna Origin Based on VIS/NIR Spectroscopy Combined with DBN-BP Neural Networks Algorithm” LINK

“Prediction of Sensory Parameters of Cured Ham: A Study of the Viability of the Use of NIR Spectroscopy and Artificial Neural Networks” sensors LINK

“Development of nearinfrared reflectance spectroscopy (NIRS) calibration for sugar content in ground soybean seed using perten DA7250 analyzer” LINK




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

“Near infrared spectroscopy for rapid determination of solids content of amino resins” LINK

“Occurrence of wooden breast and white striping in Brazilian slaughtering plants and use of near‐infrared spectroscopy and multivariate analysis to identify affected …” LINK

“Predicting terpene content in dried conifer shoots using near infrared spectroscopy” LINK

New Paper: Exploring ATR Fourier transform IR spectroscopy with chemometric analysis and laser scanning microscopy in the investigation of forensic documents fraud | forensics fraud LINK

“Rapid and practical qualitative and quantitative evaluation of non-fumigated ginger and sulfur-fumigated ginger via Fourier-transform infrared spectroscopy and …” LINK

“Determination of bagged ‘Fuji’apple maturity by visible and near-infrared spectroscopy combined with a machine learning algorithm” LINK

“Non-Destructive Monitoring of P. fluorescens and S. epidermidis Biofilm under Different Media by Fourier Transform Infrared Spectroscopy and Other Corroborative Techniques” LINK




Chemometrics and Machine Learning

“Application of near infrared spectroscopy with chemometrics for qualitative and quantitative dental caries assessment” LINK

“Evaluation of Accuracy of Bootstrap-PLSR Model based on Vis-NIR Spectra in Predicting Soil Organic Matter” LINK

“Monitoring of cannabinoids in hemp flours by MicroNIR/Chemometrics.” LINK

“Multivariate classification of Southern Brazilian table wines” LINK

“Insights into chemical and sensorial aspects to understand and manage beer aging using chemometrics” LINK

“Rapid detection of green pea adulteration in pistachio nuts using raman spectroscopy and chemometrics” LINK

“Transforming data to information: A parallel hybrid model for realtime state estimation in lignocellulosic ethanol fermentations” LINK

“Feasibility Study of Visual Computing and Machine Learning Application for Textile Material Sorting” LINK




Equipment for Spectroscopy

“Predicting the Content of 20 Minerals in Beef by Different Portable Near-Infrared (NIR) Spectrometers” LINK




Process Control and NIR Sensors

“Process Control of Drug Product Continuous Manufacturing Operations—a Study in Operational Simplification and Continuous Improvement” LINK




Environment NIR-Spectroscopy Application

“Advances on Water Quality Detection by UV-Vis Spectroscopy” LINK




Agriculture NIR-Spectroscopy Usage

“Additives and soy detection in powder rice beverage by vibrational spectroscopy as alternative to quality and safety control” LINK

“Rapid prediction of milk powder quality by hyperspectral imaging” LINK

“Near-infrared hyperspectral imaging for deoxynivalenol and ergosterol estimation in wheat samples” LINK

“Hyperspectral spectroscopy and imbalance data approaches for classification of oil palm’s macronutrients observed from frond 9 and 17” LINK

“Predicting micronutrients of wheat using hyperspectral imaging.” LINK

“In-field hyperspectral imaging: An overview on the ground-based applications in agriculture” LINK

“The effect of whey supplementation on the nutritive value of fermented forage from semi-natural grassland” LINK




Food & Feed Industry NIR Usage

“Chemical and Physical Properties of Meadowfoam Seed Oil and Extra Virgin Olive Oil: Focus on Vibrational Spectroscopy” LINK

“Quantification of beef, pork, and chicken in ground meat using a portable NIR spectrometer” LINK




Medicinal Spectroscopy

“An Accurate Noninvasive Blood Glucose Measurement System Using Portable Near-Infrared Spectrometer and Transfer Learning Framework” LINK




Other

“Map-based site-specific seeding of seed potato production by fusion of proximal and remote sensing data” LINK





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Spectroscopy and Chemometrics News Weekly #45, 2020

NIR Calibration-Model Services

Get the NIR-Spectroscopy and Chemometrics (Machine-Learning) News Weekly in real time on Twitter @ CalibModel and follow us.

Spectroscopy and Chemometrics News Weekly 44, 2020 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Food Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK




Near-Infrared Spectroscopy (NIRS)

” Investigating the Effect of Near Infra-red Spectroscopy (NIRS) on Early Diagnosis of Cardiac Surgery Associated Acute Kidney Injury” LINK

“Routine NIRS analysis methodology to predict quality and safety indexes in spinach plants during their growing season in the field” LINK

“AVANCES EN EL DESARROLLO DE MODELOS DE PREDICCIÓN DE FINURA EN FIBRA DE LLAMA Y VICUÑA CON ESPECTROSCOPÍA NIR” LINK

“Pine nut species recognition using NIR spectroscopy and image analysis” LINK

“Fast and Non-Destructive Prediction of Moisture Content and Chologenic Acid of Intact Coffee Beans Using Near Infrared Reflectance Spectroscopy”LINK




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

“Kernel partial least squares model for pectin content in peach using near‐infrared spectroscopy” LINK

“Non-Invasive Analysis of Actinic Keratosis before and after Topical Treatment Using a Cold Stimulation and Near-Infrared Spectroscopy.” LINK

“Evaluation of Dianhong black tea quality using nearinfrared hyperspectral imaging technology” LINK

“Detection of the quality of juicy peach during storage by visible/near infrared spectroscopy” LINK




Hyperspectral Imaging (HSI)

“Discrimination of common defects in loquat fruit cv.’Algerie’using hyperspectral imaging and machine learning techniques” LINK




Chemometrics and Machine Learning

“Improving moisture and soluble solids content prediction in pear fruit using near-infrared spectroscopy with variable selection and model updating approach” LINK

“Rapid high-throughput determination of major components and amino acids in a single peanut kernel based on portable near-infrared spectroscopy combined with chemometrics” LINK

“Categorization and authentication of Beijingyou chicken from four breeds of chickens using nearinfrared hyperspectral imaging combined with chemometrics” LINK

“Applied Sciences, Vol. 10, Pages 6724: Classification of Rice and Starch Flours by Using Multiple Hyperspectral Imaging Systems and Chemometric Methods” LINK

“Spectral Fingerprints Predict Functional Phenotypes of a Native Shrub” LINK




Equipment for Spectroscopy

“Evaluation of black tea by using smartphone imaging coupled with micro-near-infrared spectrometer” LINK




Process Control and NIR Sensors

“Real-time determination and visualization of two independent quantities during a manufacturing process of pharmaceutical tablets by near-infrared hyperspectral imaging combined with …” LINK




Environment NIR-Spectroscopy Application

“Effect of organic fertilizers on glomalin content and soil organic matter quality” LINK

“A combined data mining approach for on-line prediction of key soil quality indicators by Vis-NIR spectroscopy” LINK

“Identification of Plastic Type and Surface Roughness of Film-Type Plastics in Water Using KramersKronig Analysis” Chemosensors LINK




Agriculture NIR-Spectroscopy Usage

“Hyperspectral and Thermal Sensing of Stomatal Conductance, Transpiration, and Photosynthesis for Soybean and Maize under Drought” LINK

“Agriculture, Vol. 10, Pages 436: Machine Learning for Plant Breeding and Biotechnology” LINK

“Soil Organic Carbon Stabilization: Influence of Tillage on Mineralogical and Chemical Parameters” LINK




Horticulture NIR-Spectroscopy Applications

“Application of Vis/NIR spectroscopy for the estimation of soluble solids, dry matter and flesh firmness in stone fruits” LINK




Medicinal Spectroscopy

“Quantitative diffuse optical spectroscopy for noninvasive measurements of the malaria pigment hemozoin” LINK




Other

“Structural and Optical Characterization of As-grown and Annealed ZnxCd1-xS Thin-films by CBD for Solar Cell Applications” LINK

“Rapid SARS-CoV-2 Detection by Carbon Nanotube-Based Near-Infrared Nanosensors” LINK

“Structural, electrochemical and optical properties of 1, 2, 4-triazine derivative” LINK




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

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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 #13, 2020

CalibrationModel.com

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

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

“NIR-Spectroscopy Cost & Price Comparison of Chemometrics, MachineLearning and DataScience for NIRS Application Development” | HomeOffice Laboratory Spectroscopy TimeSaving BetterResults TCO LINK

Do you want better NIRS prediction results? Use your Near-Infrared Analysis data and do recalibration adjustment LINK

Spectroscopy and Chemometrics News Weekly 12, 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 12, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot FoodTech Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie LINK

Spettroscopia e Chemiometria Weekly News 12, 2020 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK




Near Infrared

The journal Sensors (ISSN 1424-8220) is currently running a Special Issue  “Using Vis-NIR Spectroscopy for Predicting Quality Compounds in Foods” LINK

“Application of NIRS in Nutrient Composition Evaluation of Lathyrus sativus” LINK

“Forecasting the potential of apple fruitlet drop by in-situ Vis-NIR spectroscopy” LINK

“Near infrared spectroscopy (NIRS) data analysis for a rapid and simultaneous prediction of feed nutritive parameters” LINK

“Evaluation by NIRS technology of curing process of ham with low sodium content” LINK

“Optical transmission spectra study in visible and near-infrared spectral range for identification of rough transparent plastics in aquatic environments.” LINK

“Sensors, Vol. 20, Pages 874: Improved Deep CNN with Parameter Initialization for Data Analysis of Near-Infrared Spectroscopy Sensors” 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

“Glucose Monitoring in Cell Culture with Online Ultrasound-Assisted Near-Infrared Spectroscopy.” LINK

“Development of nearinfrared online grading device for long jujube” LINK

“Nearinfrared reflectance spectroscopy based online moisture measurement in copra” LINK

“Remote Sensing, Vol. 12, Pages 469: Repaid Identification and Prediction of CadmiumLead Cross-Stress of Different Stress Levels in Rice Canopy Based on Visible and Near-Infrared Spectroscopy” LINK

“In vivo relationship between near-infrared spectroscopy-detected lipid-rich plaques and morphological plaque characteristics by optical coherence tomography and …” LINK

“The Kinetic Model of the Peel Brittleness of Stored Cucumis Melons Based on Visible/Near-Infrared Spectroscopy” LINK




Hyperspectral Imaging

“Applied Sciences, Vol. 10, Pages 1173: Rapid and Nondestructive Discrimination of Geographical Origins of Longjing Tea using Hyperspectral Imaging at Two Spectral Ranges Coupled with Machine Learning Methods” LINK

“Remote Sensing, Vol. 12, Pages 537: Detecting the Sources of Methane Emission from Oil Shale Mining and Processing Using Airborne Hyperspectral Data” LINK

“Comparative analysis of mineral mapping for hyperspectral and multispectral imagery” LINK




Chemometrics

“Comparison of the performance of partial least squares and support vector regressions for predicting fatty acids/fatty acid classes in marine oil dietary supplements using vibrational spectroscopic data.” LINK

“Prediction of water contents in biscuits using near infrared hyperspectral imaging spectroscopy and chemometrics” LINK

“Vis-NIR Hyperspectral Imaging for the Classification of Bacterial Foodborne Pathogens based on pixel-wise analysis and a novel CARS-PSO-SVM model” LINK

“Using the random forest model and validated MODIS with the field spectrometer measurement promote the accuracy of estimating aboveground biomass and …” LINK




Research

“A spatially resolved transmittance spectroscopy system for detecting internal rots in onions” LINK




Equipment

“Use of a handheld near infrared spectrometer and partial least squares regression to quantify metanil yellow adulteration in turmeric powder” LINK




Agriculture

“Remote Sensing, Vol. 12, Pages 574: Advancing High-Throughput Phenotyping of Wheat in Early Selection Cycles” LINK

“Evaluation of analytical and statistical approaches for predicting in vitro nitrogen solubility and in vivo pre-caecal crude protein digestibility of cereal grains in growing pigs.” LINK

“Detecting Frost Stress in Wheat: A Controlled Environment Hyperspectral Study on Wheat Plant Components and Implications for Multispectral Field Sensing” LINK

“Sensors, Vol. 20, Pages 867: Predicting Forage Quality of Warm-Season Legumes by Near Infrared Spectroscopy Coupled with Machine Learning Techniques” LINK

On their page, they offer a “Purchase Instant Access”. Or contact the author. LINK

“Detection of Invisible Damage of Kiwi Fruit Based on Hyperspectral Technique” LINK

“Nondestructive detection of storage time of strawberries using visible/near-infrared hyperspectral imaging” LINK

“Scaling up of NIRS facility in Mali for analysis of biomass quality for GLDC crops Final Technical Report” LINK




Food & Feed

“Comparison of various pharmaceutical properties of clobetasol propionate cream formulations – considering stability of mixture with moisturizer.” LINK

“Foods, Vol. 9, Pages 154: Rapid Identification and Visualization of Jowl Meat Adulteration in Pork Using Hyperspectral Imaging” LINK




Laboratory

What Lab Manager need to know about NIRSpectroscopy total cost of ownership (TCO) and DataScience. LabManagers LabManager FoodQuality Automate QualityControl foodtech foodtechnologies Laboratory LINK





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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 #10, 2020

CalibrationModel.com

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

Spectroscopy and Chemometrics News Weekly 9, 2020 | NIRS NIR Spectroscopy MachineLearning Spectrometer Analytical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors materialsensing QA QC Quality foodtechnologies LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 9, 2020 | NIRS NIR Spektroskopie MachineLearning AI FoodScience Spektrometer IoT Sensor Nahinfrarot Analytik foodtech Analysentechnik Analysemethode Nahinfrarotspektroskopie FutureLab LINK

Spettroscopia e Chemiometria Weekly News 9, 2020 | NIRS NIR Spettroscopia MachineLearning analisi Spettrale Spettrometro Chem IoT Sensore analitica Lab Laboratorio Labtechnician analisi prova qualità QualityControl meatindustry LINK




Near Infrared

“Differentiation of Muscle Abnormalities in Turkey Breast Meat in Palestinian Market by Using VIS-NIR Spectroscopy” LINK

“On-line prediction of hazardous fungal contamination in stored maize by integrating Vis/NIR spectroscopy and computer vision.” LINK

“Prediction of starch reserves in intact and ground grapevine cane wood tissues using near infrared reflectance spectroscopy (NIRS)” LINK

“Nitrate (NO3-) prediction in soil analysis using near-infrared (NIR) spectroscopy” LINK

“Can Near Infrared Spectroscopy (NIRS) Quantify The Quality of Fishmeal Circulating in Jember, Indonesia?” LINK

“Nondestructive VIS/NIR spectroscopy estimation of intravitelline vitamin E and cholesterol concentration in hen shell eggs” LINK

“NIR spectroscopy-multivariate analysis for rapid authentication, detection and quantification of common plant adulterants in saffron (Crocus sativus L.) stigmas” LINK

“Rapid discrimination of coal geographical origin via near-infrared spectroscopy combined with machine learning algorithms” LINK

“Applied Sciences, Vol. 10, Pages 616: The Brewing Industry and the Opportunities for Real-Time Quality Analysis Using Infrared Spectroscopy” LINK

“A Global Model for the Determination of Prohibited Addition in Pesticide Formulations by Near Infrared Spectroscopy” LINK

” Visible and near-infrared spectroscopy in Poland: from the beginning to the Polish Soil Spectral Library” LINK

“Visible and Near-Infrared Spectroscopic Discriminant Analysis Applied to Brand Identification of Wine” LINK

“Interaction between tau and water during the induced aggregation revealed by near-infrared spectroscopy” LINK




Raman

Using Raman Spectroscopy to Evaluate Packaging for Frozen Hamburgers – – LINK




Hyperspectral

“Hyperspectral imaging for Ink Identification in Handwritten Documents” LINK

“Effective hyperspectral band selection and multispectral sensing based data reduction and applications in food analysis” LINK

“Foods, Vol. 9, Pages 94: Rapid Screen of the Color and Water Content of Fresh-Cut Potato Tuber Slices Using Hyperspectral Imaging Coupled with Multivariate Analysis” LINK

“Detection of Microplastics Using Machine Learning” hyperspectral LINK

“Non-destructive determination of volatile oil and moisture content and discrimination of geographical origins of Zanthoxylum bungeanum Maxim. by hyperspectral …” LINK

“The hype in spectral imaging” Hyperspectral HSI LINK

“Multi-sensor integration approach based on hyperspectral imaging and electronic nose for quantitation of fat and peroxide value of pork meat” LINK




Chemometrics

“Investigating aquaphotomics for temperature-independent prediction of soluble solids content of pure apple juice” LINK

“Accuracy of Estimating Soil Properties with Mid‐Infrared Spectroscopy: Implications of Different Chemometric Approaches and Software Packages Related to Calibration Sample Size” LINK

“A correlation-analysis-based wavelength selection method for calibration transfer” LINK

“Vibrational spectroscopy and chemometrics tools for authenticity and improvement the safety control in goat milk” LINK

“Prediction and Analysis of Bamboo heating value Near Infrared Spectroscopy Based on Competitive Adaptive Weighted Sampling Algorithm” LINK




Environment

“Influence of two‐phase behavior of ethylene ionomers on diffusion of water” LINK




Agriculture

“Detection of Diseases on Wheat Crops by Hyperspectral Data” LINK

“Comparative data on effects of alkaline pretreatments and enzymatic hydrolysis on bioemulsifier production from sugarcane straw by Cutaneotrichosporon mucoides.” LINK

“Prediction of soil macronutrient (nitrate and phosphorus) using near-infrared (NIR) spectroscopy and machine learning” LINK

“最小二乘支持向量机的核桃露饮品中脂肪成分的定量分析” “Determination of Fat in Walnut Beverage Based on Least Squares Support Vector Machine” LINK

“Scaling up of NIRS facility in Mali for analysis of biomass quality for GLDC crops” LINK

“Low cost hyper-spectral imaging system using linear variable bandpass filter for agriculture applications” LINK




Other

“Avaliação estatística das variáveis relacionadas a qualidade de farelo de soja para frangos de corte” LINK

“Diets selected and growth of steers grazing buffel grass (Cenchus ciliarus cv Gayndah)-Centro (Centrosema brasilianum cv Oolloo) pastures in a seasonally dry …” LINK

“Identification of Flax Oil by Linear Multivariate Spectral Analys” LINK

“Spectroscopic Investigations of Solutions of Lithium bis(fluorosulfonyl)imide (LiFSI) in Valeronitrile” LINK

“Quantitative analysis of the interaction of ammonia with 1-(2-hydroxyethyl)-3-methylimidazolium tetrafluoroborate ionic liquid. Understanding the volumetric and …” LINK





Spectroscopy and Chemometrics News Weekly #7, 2020

CalibrationModel.com

Improve Accuracy of fast Nondestructive NIR Analytics by Optimal Calibration | Food Feed FoodSafety ag Lab LINK

Develope analytical methods for FT-NIR spectroscopy and optimize for accurate prediction model | NIRS NIR Lab FTNIR foodanalyticaltechnologies analytic qualitycontrol foodindustry beverageindustry LINK

Service für professionelle Entwicklung von Nah-Infrarot Spektroskopie Kalibrations Methoden | NIRS Qualität Prüfen LINK

Spectroscopy and Chemometrics News Weekly 6, 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 6, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 6, 2020 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK




Near Infrared

“Quality evaluation of decoction pieces of Rhizoma Atractylodis Macrocephalae by near infrared spectroscopy coupled with chemometrics.” LINK

“An overview of near-infrared spectroscopy (NIRS) for the detection of insect pests in stored grains” LINK

“A high-throughput quantification of resin and rubber contents in Parthenium argentatum using near-infrared (NIR) spectroscopy” LINK

The latest generation of near-infrared (NIR) spectroscopy systems designed for on-line measurement of properties opens up new possibilities for measuring product properties. LINK

“In situ ripening stages monitoring of Lamuyo pepper using a new generation NIRS sensor” LINK

“Detection of aflatoxin B1 on corn kernel surfaces using visible-near infrared spectra” LINK

” Estimation of soil phosphorus availability via visible and near-infrared spectroscopy” LINK

“Multivariate Classification of Prunus Dulcis Varieties using Leaves of Nursery Plants and Near Infrared Spectroscopy.” LINK

“Detection of Dibutyl Phthalate (DBP) Content in Liquor Based on Near Infrared Technology” LINK

“Analysis of incensole acetate in Boswellia species by near infrared spectroscopy coupled with partial least squares regression and cross-validation by high …” LINK

“Near infrared analysis of pharmaceutical powders with empirical target distribution optimization (ETDO)” LINK

“Salt Content Prediction System of Dried Sea Cucumber (Beche-de-mer) Based on Visual Near-Infrared Imaging” LINK

“Rapid determination of the content of digestible energy and metabolizable energy in sorghum fed to growing pigs by near-infrared reflectance spectroscopy” LINK

” Identification of Plastic Types Using Discrete Near Infrared Reflectance Spectroscopy” LINK

“An IOT-Based System for Classification and Identification of Plastic Waste Using Near Infrared Spectroscopy” LINK

“Parametric-scaling optimization of pretreatment methods for the determination of trace/quasi-trace elements based on near infrared spectroscopy” LINK

“Inline control of yoghurt fermentation process using a near infrared light backscatter sensor” LINK




Raman

“Detection of Avian Influenza Virus” RamanSpectroscopy LINK




Hyperspectral

“Hyperspectral imaging to determine pigment content in leaves” LINK

“Impact of drought on Eucalyptus wood chemistry by near infra red hyperspectral imaging” LINK

“Prediction of Eucalyptus grandis chemical compounds in a climate change context using hyperspectral imaging” LINK

“Spatial variation of wood density for Eucalyptus grandis by near infra red hyperspectral imaging combined with X-ray analysis” LINK




Chemometrics

“Machine learning methods to predict solubilities of rock samples” LINK

“Weighted incremental minimax probability machine-based method for quality prediction in gasoline blending process” LINK

“Using chemometrics tools to gain detailed molecular information on chemical processes” LINK

“A Non-Destructive Oil Palm Fruit Freshness Prediction System with Artificial Neural Network” LINK

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




Equipment

“Circuit System Design of Handheld Near Infrared Spectrometer” LINK




Agriculture

“Remote Sensing, Vol. 12, Pages 93: Using Visual Ozone Damage Scores and Spectroscopy to Quantify Soybean Responses to Background Ozone” LINK

“NIR Hyperspectral Imaging Technology Combined with Multivariate Methods to Study the Residues of Different Concentrations of Omethoate on Wheat Grain Surface.” LINK

“Remote Sensing, Vol. 12, Pages 63: Optimal Spectral Wavelengths for Discriminating Orchard Species Using Multivariate Statistical Techniques” LINK

“Growth, physiological, anatomical and nutritional responses of two phenotypically distinct passion fruit species (Passiflora L.) and their hybrid under saline conditions” LINK

“Determination of Pesticide Residual Levels in Strawberry (Fragaria) By Near‐Infrared Spectroscopy” LINK

“Identification of heat damage of imported soybeans based on hyperspectral imaging technology” LINK

“Influence of Rice Flour, Glutinous Rice Flour, and Tapioca Starch on the Functional Properties and Quality of an Emulsion-Type Cooked Sausage” LINK




Other

“Investigation of the effects of particle size on fragmentation during tableting” LINK

“Fourier-transform complementary vibrational spectroscopy” LINK