Works matching DE "FOOD adulteration"
Results: 245
NMR‐Messmethoden: Produkt‐ und Prozesscharakterisierung.
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- Chemie in unserer Zeit, 2021, v. 55, n. 4, p. 236, doi. 10.1002/ciuz.202000009
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Determination of adulteration, geographical origins, and species of food by mass spectrometry.
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- Mass Spectrometry Reviews, 2023, v. 42, n. 6, p. 2273, doi. 10.1002/mas.21780
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Quantitative species determination based on real time PCR–Can the results be expressed as weight/weight equivalents?
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- Food Biotechnology, 2020, v. 34, n. 2, p. 116, doi. 10.1080/08905436.2020.1743305
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Nondestructive Techniques for Detecting Food Adulteration: A Comprehensive Review.
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- Grenze International Journal of Engineering & Technology (GIJET), 2024, v. 10, n. 2,Part 4, p. 3317
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Portable SpectroChip-Based Immunoassay Platform for Rapid and Accurate Melamine Quantification in Urine Samples.
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- Toxics, 2024, v. 12, n. 12, p. 870, doi. 10.3390/toxics12120870
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Detection of Artificially Water-Injected Frozen Octopus minor (Sasaki) Using Dielectric Properties.
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- Journal of Chemistry, 2019, p. 1, doi. 10.1155/2019/8968351
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Nonradiative analysis of adulteration in coconut oil by thermal lens technique.
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- Applied Physics B: Lasers & Optics, 2019, v. 125, n. 6, p. N.PAG, doi. 10.1007/s00340-019-7228-6
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Investigation of meat species adulteration in beef-based meat products via real-time PCR in Türkiye.
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- Quality Assurance & Safety of Crops & Foods, 2023, v. 15, n. 4, p. 42, doi. 10.15586/qas.v15i4.1374
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Rheological analysis for detection of extra virgin olive oil adulteration with vegetable oils: predicting oil type by artificial neural network.
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- Quality Assurance & Safety of Crops & Foods, 2019, v. 11, n. 8, p. 687, doi. 10.3920/QAS2018.1404
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FOOD FRAUD PREVENTION.
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- Quality Assurance & Safety of Crops & Foods, 2018, v. 10, p. S3
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Food safety conundrum: a Pakistan's scenario.
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- Quality Assurance & Safety of Crops & Foods, 2015, v. 7, n. 4, p. 559, doi. 10.3920/QAS2014.0435
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Rapid detection of milk adulteration using Raman spectroscopy and statistical modelling.
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- Annals of the University Dunarea de Jos of Galati: Fascicle II, Mathematics, Physics, Theoretical Mechanics, 2022, v. 45, n. 2, p. 104, doi. 10.35219/ann-ugal-math-phys-mec.2022.2.10
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Food Adulteration and Food Fraud.
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- Agricultural History, 2021, v. 95, n. 3, p. 545
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Unravelled Dreams: Silk and the Atlantic World.
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- Agricultural History, 2021, v. 95, n. 3, p. 542
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Detecting the adulteration in apple vinegar using olfactory machine coupled PCA and ANN methods.
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- Agricultural Engineering International: CIGR Journal, 2022, v. 24, n. 4, p. 164
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FRAUDULENT FOOD PRODUCTS OUTBREAK IN SOUTH AFRICA: A CONUNDRUM FOR FOOD CONTROL AUTHORITIES.
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- African Journal of Food, Agriculture, Nutrition & Development, 2024, v. 24, n. 11, p. 24982, doi. 10.18697/ajfand.136.24825
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Comparison of specificity and sensitivity of biochip and real-time polymerase chain reaction for pork in food.
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- Journal of Food & Nutrition Research, 2019, v. 58, n. 3, p. 225
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Carbon Dots—Types, Obtaining and Application in Biotechnology and Food Technology.
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- International Journal of Molecular Sciences, 2023, v. 24, n. 19, p. 14984, doi. 10.3390/ijms241914984
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Molecular diagnostic test systems for meat identification: A comparison study of the MEAT 5.0 LCD-Array and innuDETECT Assay detection methods.
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- Acta Veterinaria Brno, 2020, v. 89, n. 1, p. 89, doi. 10.2754/avb202089010089
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Liquid Nuclear Magnetic Resonance (NMR) Spectroscopy in Transition—From Structure Elucidation to Multi-Analysis Method.
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- Separations (2297-8739), 2023, v. 10, n. 11, p. 572, doi. 10.3390/separations10110572
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The Development and Validation of a Targeted LC-HRAM-MS/MS Methodology to Separate and Quantify p -Synephrine and m -Synephrine in Dietary Supplements and Herbal Preparations.
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- Separations (2297-8739), 2023, v. 10, n. 8, p. 444, doi. 10.3390/separations10080444
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NEAR INFRARED SPECTROSCOPY (NIRS) COUPLED WITH CHEMOMETRIC TOOLS USED FOR FOOD PRODUCTS ADULTERATION DETECTION.
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- Food in Health & Disease / Hrana u Zdravlju i Bolesti, 2021, v. 10, n. 2, p. 112
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Loss of Pregnancy, Causes and Counseling.
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- Journal of Scientific & Technical Research, 2024, v. 14, n. 2, p. 130
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Proto-DS: A Self-Supervised Learning-Based Nondestructive Testing Approach for Food Adulteration with Imbalanced Hyperspectral Data.
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- Foods, 2024, v. 13, n. 22, p. 3598, doi. 10.3390/foods13223598
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Navigating Food Fraud: A Survey of Nigerian Consumer Knowledge and Attitudes.
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- Foods, 2024, v. 13, n. 20, p. 3270, doi. 10.3390/foods13203270
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Quantitative Analysis of High-Price Rice Adulteration Based on Near-Infrared Spectroscopy Combined with Chemometrics.
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- Foods, 2024, v. 13, n. 20, p. 3241, doi. 10.3390/foods13203241
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Application of 2D Extension of Hjorth's Descriptors to Distinguish Defined Groups of Bee Pollen Images.
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- Foods, 2024, v. 13, n. 19, p. 3193, doi. 10.3390/foods13193193
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A Dual and Rapid RPA-CRISPR/Cas12a Method for Simultaneous Detection of Cattle and Soybean-Derived Adulteration in Goat Milk Powder.
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- Foods, 2024, v. 13, n. 11, p. 1637, doi. 10.3390/foods13111637
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cor1 Gene: A Suitable Marker for Identification of Opium Poppy (Papaver somniferum L.).
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- Foods, 2024, v. 13, n. 10, p. 1432, doi. 10.3390/foods13101432
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Current State of Milk, Dairy Products, Meat and Meat Products, Eggs, Fish and Fishery Products Authentication and Chemometrics.
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- Foods, 2023, v. 12, n. 23, p. 4254, doi. 10.3390/foods12234254
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Do You Know What You Eat? Kebab Adulteration in Poland.
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- Foods, 2023, v. 12, n. 18, p. 3380, doi. 10.3390/foods12183380
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A Critical Overview of HPLC-MS-Based Lipidomics in Determining Triacylglycerol and Phospholipid in Foods.
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- Foods, 2023, v. 12, n. 17, p. 3177, doi. 10.3390/foods12173177
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Non-Targeted Detection and Quantification of Food Adulteration of High-Quality Stingless Bee Honey (SBH) via a Portable LED-Based Fluorescence Spectroscopy.
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- Foods, 2023, v. 12, n. 16, p. 3067, doi. 10.3390/foods12163067
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Rapid and Automated Method for Detecting and Quantifying Adulterations in High-Quality Honey Using Vis-NIRs in Combination with Machine Learning.
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- Foods, 2023, v. 12, n. 13, p. 2491, doi. 10.3390/foods12132491
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Quantitation of L-cystine in Food Supplements and Additives Using 1 H qNMR: Method Development and Application.
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- Foods, 2023, v. 12, n. 12, p. 2421, doi. 10.3390/foods12122421
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Molecular Barcoding: A Tool to Guarantee Correct Seafood Labelling and Quality and Preserve the Conservation of Endangered Species.
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- Foods, 2023, v. 12, n. 12, p. 2420, doi. 10.3390/foods12122420
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A Rapid RPA-CRISPR/Cas12a Detection Method for Adulteration of Goat Milk Powder.
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- Foods, 2023, v. 12, n. 8, p. 1569, doi. 10.3390/foods12081569
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The Application of High-Resolution Melting Analysis to trnL (UAA) Intron Allowed a Qualitative Identification of Apple Juice Adulterations.
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- Foods, 2023, v. 12, n. 7, p. 1437, doi. 10.3390/foods12071437
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Implementation of Chemometrics and Other Techniques as Means of Authenticity and Traceability to Detect Adulteration in Foods for the Protection of Human Health.
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- Foods, 2023, v. 12, n. 3, p. 652, doi. 10.3390/foods12030652
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An Ultrasensitive Lateral Flow Immunoassay Based on Metal-Organic Framework-Decorated Polydopamine for Multiple Sulfonylureas Adulteration in Functional Foods.
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- Foods, 2023, v. 12, n. 3, p. 539, doi. 10.3390/foods12030539
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Identification of Fish Species and Targeted Genetic Modifications Based on DNA Analysis: State of the Art.
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- Foods, 2023, v. 12, n. 1, p. 228, doi. 10.3390/foods12010228
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Mechanisms and Health Aspects of Food Adulteration: A Comprehensive Review.
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- Foods, 2023, v. 12, n. 1, p. 199, doi. 10.3390/foods12010199
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Knowledge, Attitudes and Practices of the Lebanese Community toward Food Adulteration.
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- Foods, 2022, v. 11, n. 20, p. 3178, doi. 10.3390/foods11203178
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A Review on Recent Sensing Methods for Determining Formaldehyde in Agri-Food Chain: A Comparison with the Conventional Analytical Approaches.
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- Foods, 2022, v. 11, n. 9, p. 1351, doi. 10.3390/foods11091351
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Interlaboratory Validation of a DNA Metabarcoding Assay for Mammalian and Poultry Species to Detect Food Adulteration.
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- Foods, 2022, v. 11, n. 8, p. 1108, doi. 10.3390/foods11081108
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A Bayesian Approach to Predict Food Fraud Type and Point of Adulteration.
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- Foods, 2022, v. 11, n. 3, p. 328, doi. 10.3390/foods11030328
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Discrimination of Four Cinnamomum Species with Physico-Functional Properties and Chemometric Techniques: Application of PCA and MDA Models.
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- Foods, 2021, v. 10, n. 11, p. 2871, doi. 10.3390/foods10112871
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DNA Accounting: Tallying Genomes to Detect Adulterated Saffron.
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- Foods, 2021, v. 10, n. 11, p. 2670, doi. 10.3390/foods10112670
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Real-Time PCR Assay for the Detection and Quantification of Roe Deer to Detect Food Adulteration—Interlaboratory Validation Involving Laboratories in Austria, Germany, and Switzerland.
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- Foods, 2021, v. 10, n. 11, p. 2645, doi. 10.3390/foods10112645
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A Multiplex PCR Assay Combined with Capillary Electrophoresis for the Simultaneous Identification of Atlantic Cod, Pacific Cod, Blue Whiting, Haddock, and Alaska Pollock.
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- Foods, 2021, v. 10, n. 11, p. 2631, doi. 10.3390/foods10112631
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