Implementation of Chemometrics and Other Techniques as Means of Authenticity and Traceability to Detect Adulteration in Foods for the Protection of Human Health
| dc.contributor.editor | Varzakas, Theodoros | |
| dc.date.accessioned | 2023-03-07T16:30:43Z | |
| dc.date.available | 2023-03-07T16:30:43Z | |
| dc.date.issued | 2023 | |
| dc.identifier | ONIX_20230307_9783036566610_52 | |
| dc.identifier.uri | https://directory.doabooks.org/handle/20.500.12854/98042 | |
| dc.description.abstract | Authenticity and traceability are crucial in order to overcome frauds in the international food trade. Control measures are perceived as the greatest vulnerability in the food supply chain. In order to decrease contribution to the overall perceived fraud vulnerability, analytical approaches and chemometrics are usually employed. | |
| dc.language | English | |
| dc.subject.classification | thema EDItEUR::M Medicine and Nursing | en_US |
| dc.subject.other | stable isotope ratios | |
| dc.subject.other | Greek olive oils | |
| dc.subject.other | chemometric analysis | |
| dc.subject.other | OPLS-DA | |
| dc.subject.other | discrimination | |
| dc.subject.other | fraud | |
| dc.subject.other | authenticity | |
| dc.subject.other | adulteration | |
| dc.subject.other | geographical origin | |
| dc.subject.other | quality | |
| dc.subject.other | milk | |
| dc.subject.other | fatty acids | |
| dc.subject.other | isotopes | |
| dc.subject.other | mineral elements | |
| dc.subject.other | multivariate statistics | |
| dc.subject.other | Greek PDO table olive varieties | |
| dc.subject.other | safety | |
| dc.subject.other | food adulteration | |
| dc.subject.other | dye additives | |
| dc.subject.other | nuclear magnetic resonance | |
| dc.subject.other | relaxometry | |
| dc.subject.other | halal authentication | |
| dc.subject.other | Fourier transform infrared (FTIR) spectroscopy | |
| dc.subject.other | principal component analysis (PCA) | |
| dc.subject.other | chemometric methods | |
| dc.subject.other | multiclass support vector machine (M-SVM) | |
| dc.subject.other | cinnamon | |
| dc.subject.other | chemometrics | |
| dc.subject.other | food fraud | |
| dc.subject.other | identification model | |
| dc.subject.other | physico-functional | |
| dc.subject.other | local modeling | |
| dc.subject.other | protected geographical indication | |
| dc.subject.other | Sunite lamb | |
| dc.subject.other | stable isotopes | |
| dc.subject.other | machine learning | |
| dc.subject.other | saffron | |
| dc.subject.other | bioactive compounds | |
| dc.subject.other | by-products | |
| dc.subject.other | walnut | |
| dc.subject.other | seed oil | |
| dc.subject.other | tocopherols | |
| dc.subject.other | HPLC-UV | |
| dc.subject.other | authentication | |
| dc.subject.other | dairy | |
| dc.subject.other | clustering | |
| dc.subject.other | classification | |
| dc.subject.other | regression | |
| dc.subject.other | validation | |
| dc.subject.other | honey | |
| dc.subject.other | quality parameters | |
| dc.subject.other | storage | |
| dc.subject.other | processing | |
| dc.subject.other | thermal treatment | |
| dc.subject.other | n/a | |
| dc.title | Implementation of Chemometrics and Other Techniques as Means of Authenticity and Traceability to Detect Adulteration in Foods for the Protection of Human Health | |
| dc.type | book | |
| oapen.identifier.doi | 10.3390/books978-3-0365-6660-3 | |
| oapen.relation.isPublishedBy | 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 | |
| oapen.relation.isbn | 9783036566610 | |
| oapen.relation.isbn | 9783036566603 | |
| oapen.pages | 220 | |
| oapen.place.publication | Basel |
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