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Non-invasive analytical technology for the detection of contamination, adulteration, and authenticity of meat, poultry, and fish: A review
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Standardization of line‐scan NIR imaging systems
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Quality evaluation of pickling cucumbers using hyperspectral reflectance and transmittance imaging—Part II. Performance of a prototype
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Line-scan hyperspectral imaging for real-time in-line poultry fecal detection
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Application of Visible and Near Infrared Hyperspectral Imaging to Differentiate Between Fresh and Frozen–Thawed Fish Fillets
inferredcites →https://doi.org/10.1007/s11947-013-1193-6openalex-snapshot
Recent Advances in Wavelength Selection Techniques for Hyperspectral Image Processing in the Food Industry
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Rapid and quantitative detection of the microbial spoilage of beef by Fourier transform infrared spectroscopy and machine learning
inferredcites →https://doi.org/10.1016/j.aca.2011.11.037openalex-snapshot
Prediction of some quality attributes of lamb meat using near-infrared hyperspectral imaging and multivariate analysis
inferredcites →https://doi.org/10.1016/j.aca.2012.01.004openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.addr.2005.01.020openalex-snapshot
Near-infrared spectroscopy and imaging: Basic principles and pharmaceutical applications
inferredcites →https://doi.org/10.1016/j.biosystemseng.2006.11.012openalex-snapshot
Contaminant Classification of Poultry Hyperspectral Imagery using a Spectral Angle Mapper Algorithm
inferredcites →https://doi.org/10.1016/j.compag.2005.05.002openalex-snapshot
Systemically diseased chicken identification using multispectral images and region of interest analysis
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Visible/near-infrared hyperspectral imaging for beef tenderness prediction
inferredcites →https://doi.org/10.1016/j.compag.2011.09.008openalex-snapshot
Line-scan hyperspectral imaging system for real-time inspection of poultry carcasses with fecal material and ingesta
inferredcites →https://doi.org/10.1016/j.foodchem.2012.11.040openalex-snapshot
Near-infrared hyperspectral imaging and partial least squares regression for rapid and reagentless determination of Enterobacteriaceae on chicken fillets
inferredcites →https://doi.org/10.1016/j.foodchem.2012.11.120openalex-snapshot
Non-destructive determination of chemical composition in intact and minced pork using near-infrared hyperspectral imaging
inferredcites →https://doi.org/10.1016/j.foodchem.2013.02.094openalex-snapshot
Non-destructive assessment of instrumental and sensory tenderness of lamb meat using NIR hyperspectral imaging
inferredcites →https://doi.org/10.1016/j.foodres.2010.10.011openalex-snapshot
Nondestructive assessment of freshness in packaged sliced chicken breasts using SW-NIR spectroscopy
inferredcites →https://doi.org/10.1016/j.foodres.2011.05.001openalex-snapshot
Non-destructive determination of water-holding capacity in fresh beef by using NIR hyperspectral imaging
inferredcites →https://doi.org/10.1016/j.foodres.2013.08.011openalex-snapshot
Rapid detection of total viable count (TVC) in pork meat by hyperspectral imaging
inferredcites →https://doi.org/10.1016/j.foodres.2013.12.018openalex-snapshot
Comparison of Visible–Near Infrared and Short Wave Infrared hyperspectral imaging for the evaluation of rainbow trout freshness
inferredcites →https://doi.org/10.1016/j.ifset.2012.06.003openalex-snapshot
Non-destructive prediction and visualization of chemical composition in lamb meat using NIR hyperspectral imaging and multivariate regression
inferredcites →https://doi.org/10.1016/j.ifset.2012.07.007openalex-snapshot
Potential of hyperspectral imaging and pattern recognition for categorization and authentication of red meat
inferredcites →https://doi.org/10.1016/j.ifset.2012.11.001openalex-snapshot
Non-destructive assessment of microbial contamination in porcine meat using NIR hyperspectral imaging
inferredcites →https://doi.org/10.1016/j.ifset.2012.12.011openalex-snapshot
NIR hyperspectral imaging as non-destructive evaluation tool for the recognition of fresh and frozen–thawed porcine longissimus dorsi muscles
inferredcites →https://doi.org/10.1016/j.ifset.2013.04.014openalex-snapshot
Advanced applications of hyperspectral imaging technology for food quality and safety analysis and assessment: A review — Part I: Fundamentals
inferredcites →https://doi.org/10.1016/j.ifset.2013.04.016openalex-snapshot
Advanced applications of hyperspectral imaging technology for food quality and safety analysis and assessment: A review — Part II: Applications
inferredcites →https://doi.org/10.1016/j.ifset.2013.05.001openalex-snapshot
Differentiation between fresh and frozen-thawed sea bream (Sparus aurata) using impedance spectroscopy techniques
inferredcites →https://doi.org/10.1016/j.ifset.2013.10.013openalex-snapshot
Non-destructive and rapid determination of TVB-N content for freshness evaluation of grass carp (Ctenopharyngodon idella) by hyperspectral imaging
inferredcites →https://doi.org/10.1016/j.jfoodeng.2005.03.060openalex-snapshot
Performance of hyperspectral imaging system for poultry surface fecal contaminant detection
inferredcites →https://doi.org/10.1016/j.jfoodeng.2007.02.038openalex-snapshot
Pork quality and marbling level assessment using a hyperspectral imaging system
inferredcites →https://doi.org/10.1016/j.jfoodeng.2009.04.001openalex-snapshot
Fast feature selection algorithm for poultry skin tumor detection in hyperspectral data
inferredcites →https://doi.org/10.1016/j.jfoodeng.2010.08.014openalex-snapshot
Potential prediction of the microbial spoilage of beef using spatially resolved hyperspectral scattering profiles
inferredcites →https://doi.org/10.1016/j.jfoodeng.2010.10.030openalex-snapshot
Automatic freshness assessment of cod (Gadus morhua) fillets by Vis/Nir spectroscopy
inferredcites →https://doi.org/10.1016/j.jfoodeng.2010.10.031openalex-snapshot
Quality classification of cooked, sliced turkey hams using NIR hyperspectral imaging system
inferredcites →https://doi.org/10.1016/j.jfoodeng.2010.12.024openalex-snapshot
Application of NIR hyperspectral imaging for discrimination of lamb muscles
inferredcites →https://doi.org/10.1016/j.jfoodeng.2011.10.004openalex-snapshot
Prediction of beef quality attributes using VIS/NIR hyperspectral scattering imaging technique
inferredcites →https://doi.org/10.1016/j.jfoodeng.2011.11.001openalex-snapshot
Classification of fresh Atlantic salmon (Salmo salar L.) fillets stored under different atmospheres by hyperspectral imaging
inferredcites →https://doi.org/10.1016/j.jfoodeng.2011.11.028openalex-snapshot
Near-infrared hyperspectral imaging for predicting colour, pH and tenderness of fresh beef
inferredcites →https://doi.org/10.1016/j.jfoodeng.2012.02.036openalex-snapshot
Automatic nematode detection in cod fillets (Gadus morhua L.) by hyperspectral imaging
inferredcites →https://doi.org/10.1016/j.jfoodeng.2013.02.016openalex-snapshot
Chemical-free assessment and mapping of major constituents in beef using hyperspectral imaging
inferredcites →https://doi.org/10.1016/j.jfoodeng.2013.02.022openalex-snapshot
Detection of expired vacuum-packed smoked salmon based on PLS-DA method using hyperspectral images
inferredcites →https://doi.org/10.1016/j.jfoodeng.2013.04.001openalex-snapshot
Hyperspectral and multispectral imaging for evaluating food safety and quality
inferredcites →https://doi.org/10.1016/j.jfoodeng.2013.06.039openalex-snapshot
Potential of hyperspectral imaging and multivariate analysis for rapid and non-invasive detection of gelatin adulteration in prawn
inferredcites →https://doi.org/10.1016/j.meatsci.2006.06.031openalex-snapshot
Prediction of drip-loss, pH, and color for pork using a hyperspectral imaging technique
inferredcites →https://doi.org/10.1016/j.meatsci.2007.06.020openalex-snapshot
Meat spoilage during distribution
inferredcites →https://doi.org/10.1016/j.meatsci.2011.02.016openalex-snapshot
To eat or not to eat pork, how frequently and how varied? Insights from the quantitative Q-PorkChains consumer survey in four European countries
inferredcites →https://doi.org/10.1016/j.meatsci.2011.07.011openalex-snapshot
Near-infrared hyperspectral imaging for grading and classification of pork
inferredcites →https://doi.org/10.1016/j.meatsci.2011.11.028openalex-snapshot
Simultaneous determination of tenderness and Escherichia coli contamination of pork using hyperspectral scattering technique
inferredcites →https://doi.org/10.1016/j.meatsci.2012.02.024openalex-snapshot
Reducing the fat content in ground beef without sacrificing quality: A review
inferredcites →https://doi.org/10.1016/j.postharvbio.2007.06.024openalex-snapshot
Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: A review
inferredcites →https://doi.org/10.1016/j.talanta.2011.03.061openalex-snapshot
Rapid detection of Escherichia coli contamination in packaged fresh spinach using hyperspectral imaging
inferredcites →https://doi.org/10.1016/j.talanta.2012.10.020openalex-snapshot
Fast detection and visualization of minced lamb meat adulteration using NIR hyperspectral imaging and multivariate image analysis
inferredcites →https://doi.org/10.1016/j.talanta.2012.11.042openalex-snapshot
Determination of total viable count (TVC) in chicken breast fillets by near-infrared hyperspectral imaging and spectroscopic transforms
inferredcites →https://doi.org/10.1016/j.talanta.2013.01.057openalex-snapshot
Near-infrared hyperspectral imaging in tandem with partial least squares regression and genetic algorithm for non-destructive determination and visualization of Pseudomonas loads in chicken fillets
inferredcites →https://doi.org/10.1016/j.talanta.2013.03.041openalex-snapshot
Potential of time series-hyperspectral imaging (TS-HSI) for non-invasive determination of microbial spoilage of salmon flesh
inferredcites →https://doi.org/10.1016/j.tifs.2006.09.003openalex-snapshot
Theory and application of near infrared reflectance spectroscopy in determination of food quality
inferredcites →https://doi.org/10.1016/j.tifs.2009.08.001openalex-snapshot
Spectral line-scan imaging system for high-speed non-destructive wholesomeness inspection of broilers
inferredcites →https://doi.org/10.1016/j.tifs.2009.09.003openalex-snapshot
Emerging non-contact imaging, spectroscopic and colorimetric technologies for quality evaluation and control of hams: a review
inferredcites →https://doi.org/10.1016/s0309-1740(02)00101-8openalex-snapshot
Chemical and discriminant analysis of bovine meat by near infrared reflectance spectroscopy (NIRS)
inferredcites →https://doi.org/10.1016/s0309-1740(02)00328-5openalex-snapshot
Prediction of color, texture, and sensory characteristics of beef steaks by visible and near infrared reflectance spectroscopy. A feasibility study
inferredcites →https://doi.org/10.1016/s0924-2244(02)00019-5openalex-snapshot
Rapid and quantitative detection of the microbial spoilage of muscle foods: current status and future trends
inferredcites →https://doi.org/10.1021/jf801074sopenalex-snapshot
High-Speed Assessment of Fat and Water Content Distribution in Fish Fillets Using Online Imaging Spectroscopy
inferredcites →https://doi.org/10.1021/jf802080sopenalex-snapshot
Noncontact Salt and Fat Distributional Analysis in Salted and Smoked Salmon Fillets Using X-ray Computed Tomography and NIR Interactance Imaging
inferredcites →https://doi.org/10.1080/10408398.2010.507908openalex-snapshot
Meat Quality Evaluation by Hyperspectral Imaging Technique: An Overview
inferredcites →https://doi.org/10.1080/10408398.2010.543495openalex-snapshot
Principles and Applications of Hyperspectral Imaging in Quality Evaluation of Agro-Food Products: A Review
inferredcites →https://doi.org/10.1080/10408398.2011.651542openalex-snapshot
Application of Hyperspectral Imaging in Food Safety Inspection and Control: A Review
inferredcites →https://doi.org/10.1111/j.1745-4530.2004.00464.xopenalex-snapshot
MULTISPECTRAL IMAGING SYSTEM FOR FECAL AND INGESTA DETECTION ON POULTRY CARCASSES
inferredcites →https://doi.org/10.1111/j.1750-3841.2006.00212.xopenalex-snapshot
Detection of Nematodes in Cod ( Gadus morhua ) Fillets by Imaging Spectroscopy
inferredcites →https://doi.org/10.1111/j.1750-3841.2010.01928.xopenalex-snapshot
Automatic Nematode Detection in Cod Fillets ( Gadus Morhua ) by Transillumination Hyperspectral Imaging
inferredcites →https://doi.org/10.1117/1.2968693openalex-snapshot
Hyperspectral waveband selection for contaminant detection on poultry carcasses
inferredcites →https://doi.org/10.1117/12.517443openalex-snapshot
Hyperspectral feature selection and fusion for detection of chicken skin tumors
inferredcites →https://doi.org/10.1126/science.228.4704.1147openalex-snapshot
Imaging Spectrometry for Earth Remote Sensing
inferredcites →https://doi.org/10.1128/aem.68.6.2822-2828.2002openalex-snapshot
Rapid and Quantitative Detection of the Microbial Spoilage of Meat by Fourier Transform Infrared Spectroscopy and Machine Learning
inferredcites →https://doi.org/10.1166/sl.2011.1359openalex-snapshot
Application of Hyper-Spectral Imaging Technique for the Detection of Total Viable Bacteria Count in Pork
inferredcites →https://doi.org/10.1255/jnirs.373openalex-snapshot
A Hyperspectral Imaging System for Identification of Faecal and Ingesta Contamination on Poultry Carcasses
inferredcites →https://doi.org/10.1255/jnirs.851openalex-snapshot
Fat Distribution Analysis in Salmon Fillets Using Non-Contact near Infrared Interactance Imaging: A Sampling and Calibration Strategy
inferredcites →https://doi.org/10.1255/jnirs.896openalex-snapshot
Near Infrared Spectroscopy and Hyperspectral Imaging for Prediction and Visualisation of Fat and Fatty Acid Content in Intact Raw Beef Cuts
inferredcites →https://doi.org/10.1255/jnirs.924openalex-snapshot
A Review of near Infrared Spectroscopy in Muscle Food Analysis: 2005–2010
inferredcites →https://doi.org/10.1300/j030v01n02_08openalex-snapshot
Effect of Light Intensity and Color on Worker Productivity and Parasite Detection Efficiency During Candling of Cod Fillets
inferredcites →https://doi.org/10.13031/2013.11413openalex-snapshot
HYPERSPECTRAL IMAGING FOR DETECTING FECAL AND INGESTA CONTAMINANTS ON POULTRY CARCASSES
inferredcites →https://doi.org/10.13031/2013.15629openalex-snapshot
ALGORITHM DEVELOPMENT WITH VISIBLE/NEAR-INFRARED SPECTRA FOR DETECTION OF POULTRY FECES AND INGESTA
inferredcites →https://doi.org/10.13031/2013.17595openalex-snapshot
DETECTION OF SKIN TUMORS ON CHICKEN CARCASSES USING HYPERSPECTRAL FLUORESCENCE IMAGING
inferredcites →https://doi.org/10.13031/2013.20223openalex-snapshot
SIMPLE MULTISPECTRAL IMAGE ANALYSIS FOR SYSTEMICALLY DISEASED CHICKEN IDENTIFICATION
inferredcites →https://doi.org/10.13031/2013.23615openalex-snapshot
Improved Hyperspectral Imaging System for Fecal Detection on Poultry Carcasses
inferredcites →https://doi.org/10.13031/2013.23616openalex-snapshot
Statistical Model-Based Thresholding of Multispectral Images for Contaminant Detection on Poultry Carcasses
inferredcites →https://doi.org/10.13031/2013.24080openalex-snapshot
Fisher Linear Discriminant Analysis for Improving Fecal Detection Accuracy with Hyperspectral Images
inferredcites →https://doi.org/10.13031/2013.25135openalex-snapshot
High Throughput Spectral Imaging System for Wholesomeness Inspection of Chicken
inferredcites →https://doi.org/10.1364/ao.43.000824openalex-snapshot
Analysis of hyperspectral fluorescence images for poultry skin tumor inspection
inferredcites →https://doi.org/10.1364/ao.46.000357openalex-snapshot
Fusion algorithm for poultry skin tumor detection using hyperspectral data
inferredcites →https://doi.org/10.1366/0003702011952929openalex-snapshot
Detection of Parasites in Cod Fillets by Using SIMCA Classification in Multispectral Images in the Visible and NIR Region
inferredcites →https://doi.org/10.2202/1556-3758.1089openalex-snapshot
Pork Quality Classification Using a Hyperspectral Imaging System and Neural Network
inferredcites →https://doi.org/10.3382/ps.2006-00467openalex-snapshot
Hyperspectral-Multispectral Line-Scan Imaging System for Automated Poultry Carcass Inspection Applications for Food Safety
inferredcites →https://doi.org/10.3382/ps.2008-00561openalex-snapshot
Machine vision system for on-line wholesomeness inspection of poultry carcasses
inferredcites →https://doi.org/10.3923/ijps.2005.657.662openalex-snapshot
Effectiveness of Hyperspectral Imaging System for Detecting Cecal Contaminated Broiler Carcasses
inferredcites →https://doi.org/10.3923/ijps.2005.959.964openalex-snapshot
Detection of Ingesta on Pre-Chilled Broiler Carcasses by Hyperspectral Imaging
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Enzyme immunoassay (ELISA/immunosensor) for a sensitive detection of pork adulteration in meat
inferred← citeshttps://doi.org/10.1016/j.foodchem.2024.140795openalex-snapshot
ConvColor DL: Concatenated convolutional and handcrafted color features fusion for beef quality identification
inferred← citeshttps://doi.org/10.1016/j.foodcont.2016.05.048openalex-snapshot
Multispectral imaging (MSI): A promising method for the detection of minced beef adulteration with horsemeat
inferred← citeshttps://doi.org/10.1016/j.foodcont.2017.07.013openalex-snapshot
Hyperspectral imaging and multispectral imaging as the novel techniques for detecting defects in raw and processed meat products: Current state-of-the-art research advances
inferred← citeshttps://doi.org/10.1016/j.foodcont.2019.06.031openalex-snapshot
From traditional meat inspection to development of meat safety assurance programs in pig abattoirs – The European situation
inferred← citeshttps://doi.org/10.1016/j.foodcont.2019.107008openalex-snapshot
Rapid methods of microbial detection in dairy products
inferred← citeshttps://doi.org/10.1016/j.foodcont.2021.107864openalex-snapshot
The employment of analytical techniques and chemometrics for authentication of fish oils: A review
inferred← citeshttps://doi.org/10.1016/j.foodcont.2022.109567openalex-snapshot
Differentiating between fresh and frozen-thawed fish fillets by muscle fibre permeability measurement
inferred← citeshttps://doi.org/10.1016/j.foodcont.2024.110736openalex-snapshot
Shortwave infrared hyperspectral imaging for the determination of pork adulteration in minced beef and lamb
inferred← citeshttps://doi.org/10.1016/j.foodres.2022.111198openalex-snapshot
Destructive and rapid non-invasive methods used to detect adulteration of dried powdered horticultural products: A review
inferred← citeshttps://doi.org/10.1016/j.foodres.2025.116459openalex-snapshot
Spectroscopic techniques combined with chemometrics for rapid detection of food adulteration: Applications, perspectives, and challenges
inferred← citeshttps://doi.org/10.1016/j.fpsl.2018.01.010openalex-snapshot
Characterization of deterioration of fallow deer and goat meat using microbial and mid infrared spectroscopy in tandem with chemometrics
inferred← citeshttps://doi.org/10.1016/j.heliyon.2023.e15482openalex-snapshot
Conventional and advanced detection techniques of foodborne pathogens: A comprehensive review
inferred← citeshttps://doi.org/10.1016/j.ijbiomac.2025.147954openalex-snapshot
Investigation of meat proteins in different species by sequential window acquisition of all theoretical mass spectra-based proteomics and its application in meat adulteration
inferred← citeshttps://doi.org/10.1016/j.jafr.2022.100288openalex-snapshot
Potential application of hyperspectral imaging in food grain quality inspection, evaluation and control during bulk storage
inferred← citeshttps://doi.org/10.1016/j.jafr.2024.101026openalex-snapshot
Chemical probe as specific detector of porcine protein or peptide in meat and meat-based products: Potential applications, challenges, and the way forward
inferred← citeshttps://doi.org/10.1016/j.jcs.2021.103364openalex-snapshot
Use of line-scan Raman hyperspectral imaging to identify corn kernels infected with Aspergillus flavus
inferred← citeshttps://doi.org/10.1016/j.jfca.2025.108535openalex-snapshot
Development of a duplex real-time PCR assay for accurate quantification of goat and sheep in processed meat products
inferred← citeshttps://doi.org/10.1016/j.jfoodeng.2015.08.023openalex-snapshot
Rapid and non-destructive detection of chicken adulteration in minced beef using visible near-infrared hyperspectral imaging and machine learning
inferred← citeshttps://doi.org/10.1016/j.jfoodeng.2023.111893openalex-snapshot
Augmented reality for food quality assessment: Bridging the physical and digital worlds
inferred← citeshttps://doi.org/10.1016/j.lwt.2015.11.021openalex-snapshot
Hyperspectral imaging for real-time monitoring of water holding capacity in red meat
inferred← citeshttps://doi.org/10.1016/j.lwt.2015.11.041openalex-snapshot
Recapitulating the competence of novel & rapid monitoring tools for microbial documentation in food systems
inferred← citeshttps://doi.org/10.1016/j.lwt.2019.01.021openalex-snapshot
Fluorescence spectroscopy as a rapid and non-destructive method for monitoring quality and authenticity of fish and meat products: Impact of different preservation conditions
inferred← citeshttps://doi.org/10.1016/j.meatsci.2016.02.004openalex-snapshot
Online monitoring of red meat color using hyperspectral imaging
inferred← citeshttps://doi.org/10.1016/j.meatsci.2016.09.017openalex-snapshot
Hyperspectral imaging with multivariate analysis for technological parameters prediction and classification of muscle foods: A review
inferred← citeshttps://doi.org/10.1016/j.meatsci.2018.05.020openalex-snapshot
Chemometrics and hyperspectral imaging applied to assessment of chemical, textural and structural characteristics of meat
inferred← citeshttps://doi.org/10.1016/j.meatsci.2021.108458openalex-snapshot
Anisotropic effect on the predictability of intramuscular fat content in pork by hyperspectral imaging and chemometrics
inferred← citeshttps://doi.org/10.1016/j.meatsci.2022.109007openalex-snapshot
Optical sensing as analytical tools for meat tenderness measurements - A review
inferred← citeshttps://doi.org/10.1016/j.meatsci.2024.109558openalex-snapshot
A new histopathology scoring protocol reveals myopathy features in PSE-like pork
inferred← citeshttps://doi.org/10.1016/j.meatsci.2025.109893openalex-snapshot
Non-destructive spectroscopy-based technologies for meat and meat product discrimination - A review
inferred← citeshttps://doi.org/10.1016/j.postharvbio.2020.111271openalex-snapshot
SPORT pre-processing can improve near-infrared quality prediction models for fresh fruits and agro-materials
inferred← citeshttps://doi.org/10.1016/j.saa.2019.01.046openalex-snapshot
Application of infrared spectroscopy as Process Analytics Technology (PAT) approach in biodiesel production process utilizing Multivariate Curve Resolution Alternative Least Square (MCR-ALS)
inferred← citeshttps://doi.org/10.1016/j.saa.2025.126216openalex-snapshot
Intermediate data fusion improves the accuracy of near-infrared spectroscopy and Raman spectroscopy for the detection of aflatoxin B1 in peanuts
inferred← citeshttps://doi.org/10.1016/j.snb.2015.08.123openalex-snapshot
Nondestructive detection of the freshness of fruits and vegetables using gold and silver nanoparticle mediated graphene enhanced Raman spectroscopy
inferred← citeshttps://doi.org/10.1016/j.snb.2017.07.006openalex-snapshot
Hyperspectral imaging for rapid evaluation and visualization of quality deterioration index of vacuum packaged dry-cured sausages
inferred← citeshttps://doi.org/10.1016/j.talanta.2024.125845openalex-snapshot
Essential spectral pixels-based improvement of UMAP classifying hyperspectral imaging data to identify minor compounds in food matrix
inferred← citeshttps://doi.org/10.1016/j.talo.2024.100368openalex-snapshot
Progressive analytical techniques utilized for the detection of contaminants attributed to food safety and security
inferred← citeshttps://doi.org/10.1016/j.tifs.2016.01.011openalex-snapshot
Data mining derived from food analyses using non-invasive/non-destructive analytical techniques; determination of food authenticity, quality & safety in tandem with computer science disciplines
inferred← citeshttps://doi.org/10.1016/j.tifs.2018.04.001openalex-snapshot
What are the scientific challenges in moving from targeted to non-targeted methods for food fraud testing and how can they be addressed? – Spectroscopy case study
inferred← citeshttps://doi.org/10.1016/j.tifs.2018.05.020openalex-snapshot
Conventional and emerging detection techniques for pathogenic bacteria in food science: A review
inferred← citeshttps://doi.org/10.1016/j.tifs.2019.07.018openalex-snapshot
Classical and emerging non-destructive technologies for safety and quality evaluation of cereals: A review of recent applications
inferred← citeshttps://doi.org/10.1021/acs.jafc.4c08642openalex-snapshot
Nanopore-Based Biomimetic ssDNA Reporters for Multiplexed Detection of Meat Adulteration
inferred← citeshttps://doi.org/10.1021/acssensors.1c01540openalex-snapshot
BioChemPen for a Rapid Analysis of Compounds Supported on Solid Surfaces
inferred← citeshttps://doi.org/10.1039/c5ay01617gopenalex-snapshot
Hyperspectral imaging in tandem with multivariate analysis and image processing for non-invasive detection and visualization of pork adulteration in minced beef
inferred← citeshttps://doi.org/10.1049/ote2.70006openalex-snapshot
Design of FBG‐Based Sensing System for Meat Quality Assessment and Steak Cooking Optimisation
inferred← citeshttps://doi.org/10.1080/0194262x.2015.1072491openalex-snapshot
Reviews of Science for Science Librarians: Meat Science around the World, 1980–2014
inferred← citeshttps://doi.org/10.1080/10408398.2015.1082966openalex-snapshot
Non-Destructive and rapid evaluation of staple foods quality by using spectroscopic techniques: A review
inferred← citeshttps://doi.org/10.1080/10408398.2016.1276883openalex-snapshot
Implementation of chemometrics in quality evaluation of food and beverages
inferred← citeshttps://doi.org/10.1080/10408398.2021.1922872openalex-snapshot
An overview of recent advances and applications of FT-IR spectroscopy for quality, authenticity, and adulteration detection in edible oils
inferred← citeshttps://doi.org/10.1080/10408398.2026.2651887openalex-snapshot
Machine learning applications for postharvest poultry processing: a review
inferred← citeshttps://doi.org/10.1080/87559129.2018.1514624openalex-snapshot
Applications of miniaturized and portable near infrared spectroscopy (NIRS) for inspection and control of meat and meat products
inferred← citeshttps://doi.org/10.1080/87559129.2019.1584814openalex-snapshot
Advances in Nondestructive Methods for Meat Quality and Safety Monitoring
inferred← citeshttps://doi.org/10.1088/1755-1315/422/1/012078openalex-snapshot
Possibility of using digital technology in determining the color number of vegetable oil
inferred← citeshttps://doi.org/10.1088/2399-6528/abb322openalex-snapshot
Meat freshness revealed by visible to near-infrared spectroscopy and principal component analysis
inferred← citeshttps://doi.org/10.1093/fqsafe/fyae004openalex-snapshot
Metabolomics for quality assessment of poultry meat and eggs
inferred← citeshttps://doi.org/10.1109/access.2018.2864308openalex-snapshot
Rapid Determination of Meat Moisture Content Using Radio-Frequency Dielectric Measurement
inferred← citeshttps://doi.org/10.1109/access.2025.3585491openalex-snapshot
A Historical Review of the Technology Used for the Study of Freshness in Red Meats
inferred← citeshttps://doi.org/10.1109/icaihc64101.2025.10957001openalex-snapshot
Moderating Role of Technology Readiness of individuals to embrace Telemedicine
inferred← citeshttps://doi.org/10.1109/icemis.2016.7745327openalex-snapshot
Building a portable device based on DSP for meat discrimination
inferred← citeshttps://doi.org/10.1109/snsp.2018.00084openalex-snapshot
The Use of Spectroscopy for Non-destructive Determination of Authenticity of Chinese Calligraphy and Painting
inferred← citeshttps://doi.org/10.1111/1541-4337.12428openalex-snapshot
A Review of Hyperspectral Imaging for Chicken Meat Safety and Quality Evaluation: Application, Hardware, and Software
inferred← citeshttps://doi.org/10.1111/1541-4337.12579openalex-snapshot
Comparative review and the recent progress in detection technologies of meat product adulteration
inferred← citeshttps://doi.org/10.1111/1541-4337.12764openalex-snapshot
Total volatile basic nitrogen and trimethylamine in muscle foods: Potential formation pathways and effects on human health
inferred← citeshttps://doi.org/10.1111/1541-4337.12781openalex-snapshot
Emerging nondestructive approaches for meat quality and safety evaluation—A review
inferred← citeshttps://doi.org/10.1111/1541-4337.12968openalex-snapshot
Recent advances in the application of Raman spectroscopy for fish quality and safety analysis
inferred← citeshttps://doi.org/10.1111/1750-3841.14024openalex-snapshot
Hyperspectral Imaging in Tandem with R Statistics and Image Processing for Detection and Visualization of pH in Japanese Big Sausages Under Different Storage Conditions
inferred← citeshttps://doi.org/10.1111/ijfs.17546openalex-snapshot
Implementing artificial intelligence to measure meat quality parameters in local market traceability processes
inferred← citeshttps://doi.org/10.1111/jfpe.70535openalex-snapshot
Application of Nondestructive Technologies in Food Preservation and Quality Control: A Bibliometric Analysis of Research Trends and Emerging Technologies
inferred← citeshttps://doi.org/10.1111/jfs.12510openalex-snapshot
Pathogenic Escherichia coli biosensor detection on chicken food samples
inferred← citeshttps://doi.org/10.1117/12.2527194openalex-snapshot
Assessment of meat freshness and spoilage detection utilizing visible to near-infrared spectroscopy
inferred← citeshttps://doi.org/10.1117/12.3012663openalex-snapshot
Authentication of gluten-free flour by Fourier-transform infrared spectroscopic technique
inferred← citeshttps://doi.org/10.1134/s1061934826700498openalex-snapshot
Nondestructive Testing of Food Products and Pharmaceuticals by Smartphone-Based Digital Colorimetry
inferred← citeshttps://doi.org/10.1155/2015/786709openalex-snapshot
Nondestructive Detection of Blackheart in Potato by Visible/Near Infrared Transmittance Spectroscopy
inferred← citeshttps://doi.org/10.1155/2018/3487985openalex-snapshot
Integration of Artificial Neural Network Modeling and Hyperspectral Data Preprocessing for Discrimination of Colla Corii Asini Adulteration
inferred← citeshttps://doi.org/10.1155/2018/8949741openalex-snapshot
Machine Learning Applied to Near-Infrared Spectra for Chicken Meat Classification
inferred← citeshttps://doi.org/10.1186/s13007-023-01123-wopenalex-snapshot
Gray mold and anthracnose disease detection on strawberry leaves using hyperspectral imaging
inferred← citeshttps://doi.org/10.1371/journal.pone.0163505openalex-snapshot
Hyperspectral Imaging Using Intracellular Spies: Quantitative Real-Time Measurement of Intracellular Parameters In Vivo during Interaction of the Pathogenic Fungus Aspergillus fumigatus with Human Monocytes
inferred← citeshttps://doi.org/10.1504/ijie.2017.087005openalex-snapshot
Beef and horse meat discrimination and storage time classification using a portable device based on DSP and PCA method
inferred← citeshttps://doi.org/10.15316/selcukjafsci.1680808openalex-snapshot
Spectroscopic Detection of Chicken Broth Adulteration in Beef Broth Using VIS-NIR Sensing and Edge Computing
inferred← citeshttps://doi.org/10.1631/jzus.b2500745openalex-snapshot
DNA-based one-pot rapid biosensing platform integrating turn-back loop primer-accelerated LAMP and Pyrococcus furiosus Argonaute for meat visual authentication
inferred← citeshttps://doi.org/10.21323/2414-438x-2022-7-2-97-111openalex-snapshot
Raman spectroscopic techniques for meat analysis: A review
inferred← citeshttps://doi.org/10.2139/ssrn.5374143openalex-snapshot
A Duplex Real-Time Fluorescent Pcr Method for Accurate Quantification of Goat and Sheep Components in Processed Meat Products
inferred← citeshttps://doi.org/10.24188/recia.v15.n1.2023.938openalex-snapshot
Carne oscura, firme y seca (DFD). Causas, implicaciones y métodos de determinación
inferred← citeshttps://doi.org/10.26656/fr.2017.7(2).024openalex-snapshot
Apparatus development for detecting the freshness of chicken meat using TCS 3200, PH-98108, and MOS gas sensors
inferred← citeshttps://doi.org/10.30744/brjac.2179-3425.ar-33-2019openalex-snapshot
Easy Estimation of Endoglucanase Activity Using a Free Software App for Mobile Devices
inferred← citeshttps://doi.org/10.30880/jtmb.2018.05.02.003openalex-snapshot
Pork Quality Assessment Through Image Segmentation and Support Vector Machine Implementation
inferred← citeshttps://doi.org/10.3390/agriculture15101043openalex-snapshot
Prediction of Vigor of Naturally Aged Seeds from Xishuangbanna Cucumber (Cucumis sativus L. var. xishuangbannanesis) Using Hyperspectral Imaging
inferred← citeshttps://doi.org/10.3390/app14145979openalex-snapshot
A Novel Approach for Meat Quality Assessment Using an Ensemble of Compact Convolutional Neural Networks
inferred← citeshttps://doi.org/10.3390/bios12020076openalex-snapshot
Applications of Fluorescence Spectroscopy, RGB- and MultiSpectral Imaging for Quality Determinations of White Meat: A Review
inferred← citeshttps://doi.org/10.3390/foods11142091openalex-snapshot
Spectro 1—A Potential Spectrophotometer for Measuring Color and Myoglobin Forms in Beef
inferred← citeshttps://doi.org/10.3390/foods11223713openalex-snapshot
Non-Destructive Techniques for the Analysis and Evaluation of Meat Quality and Safety: A Review
inferred← citeshttps://doi.org/10.3390/foods12010199openalex-snapshot
Mechanisms and Health Aspects of Food Adulteration: A Comprehensive Review
inferred← citeshttps://doi.org/10.3390/foods13081200openalex-snapshot
Development of a Measurement System Using Infrared Spectroscopy-Attenuated Total Reflectance, Principal Component Analysis and Artificial Intelligence for the Safe Quantification of the Nucleating Agent Sorbitol in Food Packaging
inferred← citeshttps://doi.org/10.3390/foods14060922openalex-snapshot
Applications of Machine Learning in Food Safety and HACCP Monitoring of Animal-Source Foods
inferred← citeshttps://doi.org/10.3390/foods15142492openalex-snapshot
Near-Infrared Hyperspectral Imaging to Predict Intact Sweet Tamarind Fruit Quality
inferred← citeshttps://doi.org/10.3390/foods7040055openalex-snapshot
Applying Fourier Transform Mid Infrared Spectroscopy to Detect the Adulteration of Salmo salar with Oncorhynchus mykiss
inferred← citeshttps://doi.org/10.3390/foods9081069openalex-snapshot
Fraud in Animal Origin Food Products: Advances in Emerging Spectroscopic Detection Methods over the Past Five Years
inferred← citeshttps://doi.org/10.3390/foods9081074openalex-snapshot
Non-Destructive Imaging and Spectroscopic Techniques for Assessment of Carcass and Meat Quality in Sheep and Goats: A Review
inferred← citeshttps://doi.org/10.3390/microorganisms8040552openalex-snapshot
Implementation of Multispectral Imaging (MSI) for Microbiological Quality Assessment of Poultry Products
inferred← citeshttps://doi.org/10.3390/rs13091807openalex-snapshot
A Performance Evaluation of Vis/NIR Hyperspectral Imaging to Predict Curcumin Concentration in Fresh Turmeric Rhizomes
inferred← citeshttps://doi.org/10.3390/s18020377openalex-snapshot
Non-Destructive Spectroscopic Techniques and Multivariate Analysis for Assessment of Fat Quality in Pork and Pork Products: A Review
inferred← citeshttps://doi.org/10.3390/s19163483openalex-snapshot
Multispectral Fluorescence Imaging Technique for On-Line Inspection of Fecal Residues on Poultry Carcasses
inferred← citeshttps://doi.org/10.3390/s25154783openalex-snapshot
Principles, Applications, and Future Evolution of Agricultural Nondestructive Testing Based on Microwaves
inferred← citeshttps://doi.org/10.4081/incontri.2018.434openalex-snapshot
BIO-IMAGING IN OUR KITCHENS: TO THE DISCOVERY OF PRODUCTS OF ANIMAL ORIGIN
inferred← citeshttps://doi.org/10.5772/intechopen.74371openalex-snapshot
Hyperspectral Imaging for Assessing Quality and Safety of Meat
inferred← citeshttps://doi.org/10.5772/intechopen.91437openalex-snapshot
Fast Detection of Pathogenic Escherichia coli from Chicken Meats
inferred← citeshttps://doi.org/10.5851/kosfa.2021.e25openalex-snapshot
A Review on Meat Quality Evaluation Methods Based on Non-Destructive Computer Vision and Artificial Intelligence Technologies
inferred← citeshttps://doi.org/10.5851/kosfa.2022.e29openalex-snapshot
Determination of Adulteration of Chicken Meat into Minced Beef Mixtures using Front Face Fluorescence Spectroscopy Coupled with Chemometric
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