Food Fraud as a Global Problem
With the development of a globalized food market, food fraud has become a crucial issue around the world. Adulteration, substitution, and the deliberately incorrect labeling of species and the geographical origins of food are considered the main cases of food fraud. Some unscrupulous traders replace...
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| Format: | Online |
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| Sprog: | engelsk |
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MDPI - Multidisciplinary Digital Publishing Institute
2025
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| Online adgang: | ONIX_20250812T095121_9783725832309_86 |
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| _version_ | 1869523434088693760 |
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| collection | Directory of Open Access Books |
| description | With the development of a globalized food market, food fraud has become a crucial issue around the world. Adulteration, substitution, and the deliberately incorrect labeling of species and the geographical origins of food are considered the main cases of food fraud. Some unscrupulous traders replace special local products with inferior or counterfeit products, substitute labeled food species with others, or extend the shelf life of food by using banned chemicals for economic profit, which can pose a significant threat to human health.Therefore, advanced analytical tools are needed as scientific support against food fraud. Food authentication involves procedures to determine whether the product complies with its labeling and whether it conforms to the legal standards and regulations that govern its consumption. The combination of appropriate techniques and statistical methods is considered a powerful tool for identifying cases of food fraud.This reprint brings together the most recent research advances associated with the latest techniques and methods for identifying food fraud. We hope it will provide references for readers who work, study, or focus on food fraud issues. |
| format | Online |
| id | doab-20.500.12854ir-165137 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1651372025-08-12T08:05:09Z Food Fraud as a Global Problem Liu, Hongyan Lei, Hongtao Guo, Boli Gan, Ren-You non-targeted methods LC-MS fingerprinting machine learning convolutional neural networks wheat spelt food fraud DNA metabarcoding amplicon sequencing food authenticity food adulteration next generation sequencing bioinformatics validation benchmarking light intensity fertilizer treatment stable isotopes hybrid rice cultivar fractionation mechanism molecular barcoding fraud mislabelling species identification chemometrics support vector machine untargeted method food inspection seafood time-of-flight mass spectrometry identification Dendrobium devonianum Longling area geographical origin pu-erh tea tree ages mineral elements stable isotope traces elements Czech beekeepers sustainability GIS LIBS VNIR Polygonati Rhizoma deep learning adulteration Gleditsia sinensis DNA barcoding Snow Lotus Seed thema EDItEUR::P Mathematics and Science::PS Biology, life sciences With the development of a globalized food market, food fraud has become a crucial issue around the world. Adulteration, substitution, and the deliberately incorrect labeling of species and the geographical origins of food are considered the main cases of food fraud. Some unscrupulous traders replace special local products with inferior or counterfeit products, substitute labeled food species with others, or extend the shelf life of food by using banned chemicals for economic profit, which can pose a significant threat to human health.Therefore, advanced analytical tools are needed as scientific support against food fraud. Food authentication involves procedures to determine whether the product complies with its labeling and whether it conforms to the legal standards and regulations that govern its consumption. The combination of appropriate techniques and statistical methods is considered a powerful tool for identifying cases of food fraud.This reprint brings together the most recent research advances associated with the latest techniques and methods for identifying food fraud. We hope it will provide references for readers who work, study, or focus on food fraud issues. 2025-08-12T08:05:07Z 2025-08-12T08:05:07Z 2025 book ONIX_20250812T095121_9783725832309_86 9783725832309 9783725832293 https://directory.doabooks.org/handle/20.500.12854/165137 eng image/jpeg Attribution 4.0 International https://mdpi.com/books https://mdpi.com/books/pdfview/book/10543 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-3229-3 10.3390/books978-3-7258-3229-3 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725832309 9783725832293 166 open access |
| spellingShingle | non-targeted methods LC-MS fingerprinting machine learning convolutional neural networks wheat spelt food fraud DNA metabarcoding amplicon sequencing food authenticity food adulteration next generation sequencing bioinformatics validation benchmarking light intensity fertilizer treatment stable isotopes hybrid rice cultivar fractionation mechanism molecular barcoding fraud mislabelling species identification chemometrics support vector machine untargeted method food inspection seafood time-of-flight mass spectrometry identification Dendrobium devonianum Longling area geographical origin pu-erh tea tree ages mineral elements stable isotope traces elements Czech beekeepers sustainability GIS LIBS VNIR Polygonati Rhizoma deep learning adulteration Gleditsia sinensis DNA barcoding Snow Lotus Seed thema EDItEUR::P Mathematics and Science::PS Biology, life sciences Food Fraud as a Global Problem |
| title | Food Fraud as a Global Problem |
| title_full | Food Fraud as a Global Problem |
| title_fullStr | Food Fraud as a Global Problem |
| title_full_unstemmed | Food Fraud as a Global Problem |
| title_short | Food Fraud as a Global Problem |
| title_sort | food fraud as a global problem |
| topic | non-targeted methods LC-MS fingerprinting machine learning convolutional neural networks wheat spelt food fraud DNA metabarcoding amplicon sequencing food authenticity food adulteration next generation sequencing bioinformatics validation benchmarking light intensity fertilizer treatment stable isotopes hybrid rice cultivar fractionation mechanism molecular barcoding fraud mislabelling species identification chemometrics support vector machine untargeted method food inspection seafood time-of-flight mass spectrometry identification Dendrobium devonianum Longling area geographical origin pu-erh tea tree ages mineral elements stable isotope traces elements Czech beekeepers sustainability GIS LIBS VNIR Polygonati Rhizoma deep learning adulteration Gleditsia sinensis DNA barcoding Snow Lotus Seed thema EDItEUR::P Mathematics and Science::PS Biology, life sciences |
| topic_facet | non-targeted methods LC-MS fingerprinting machine learning convolutional neural networks wheat spelt food fraud DNA metabarcoding amplicon sequencing food authenticity food adulteration next generation sequencing bioinformatics validation benchmarking light intensity fertilizer treatment stable isotopes hybrid rice cultivar fractionation mechanism molecular barcoding fraud mislabelling species identification chemometrics support vector machine untargeted method food inspection seafood time-of-flight mass spectrometry identification Dendrobium devonianum Longling area geographical origin pu-erh tea tree ages mineral elements stable isotope traces elements Czech beekeepers sustainability GIS LIBS VNIR Polygonati Rhizoma deep learning adulteration Gleditsia sinensis DNA barcoding Snow Lotus Seed thema EDItEUR::P Mathematics and Science::PS Biology, life sciences |
| url | ONIX_20250812T095121_9783725832309_86 |