9786207807413 - Raman Spectroscopy Technique for Food Quality Analysis by Mei, Congli; Jiang, Hui; Chen, Quansheng (8 results)
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Taschenbuch. Condition: Neu. Raman Spectroscopy Technique for Food Quality Analysis | Congli Mei (u. a.) | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207807413 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]d…e | Anbieter: preigu.
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Published by Omniscriptum, LAP Lambert Academic Publishing, 2024
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Raman spectroscopy technique has been extensively explored in the design of accurate, transparent, and conclusive food safety and quality control assays. Its hyphenation with chemometric algorithms is instrumental in securing safe f…ood campaigns. The book emphasizes on the importance of food monitoring practices using multivariate regression models. The applicability of the distinct chemometrics modes toward monitoring pesticide, food and illicit additives, heavy metals, pathogens, and its metabolites in Raman spectroscopy is covered in poultry, oil, beverages, and other selected food matrices. Its pertinence toward discrimination in food quality and safety monitoring and authentication is examined. Finally, it also complies with the limitations, key challenges, and prospects. The chemometrics processing spectra implemented with simpler or no complicated sample pretreatment step make Raman spectroscopy technique a potential approach that is expected to achieve simultaneous and fast detection of multiple analytes in food matrices. 252 pp. Englisch.
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Language: English
Published by LAP LAMBERT Academic Publishing Sep 2024, 2024
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Raman spectroscopy technique has been extensively explored in the design of accurate, transparent, and conclusive food safety and quality control assays. Its hyphenation with chemometric algorithms is instrumental in securing safe food…campaigns. The book emphasizes on the importance of food monitoring practices using multivariate regression models. The applicability of the distinct chemometrics modes toward monitoring pesticide, food and illicit additives, heavy metals, pathogens, and its metabolites in Raman spectroscopy is covered in poultry, oil, beverages, and other selected food matrices. Its pertinence toward discrimination in food quality and safety monitoring and authentication is examined. Finally, it also complies with the limitations, key challenges, and prospects. The chemometrics processing spectra implemented with simpler or no complicated sample pretreatment step make Raman spectroscopy technique a potential approach that is expected to achieve simultaneous and fast detection of multiple analytes in food matrices.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 252 pp. Englisch.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Raman spectroscopy technique has been extensively explored in the design of accurate, transparent, and conclusive food safety and quality control assays. Its hyphenation with chemometric algorithms is instrumental in securing safe food c…ampaigns. The book emphasizes on the importance of food monitoring practices using multivariate regression models. The applicability of the distinct chemometrics modes toward monitoring pesticide, food and illicit additives, heavy metals, pathogens, and its metabolites in Raman spectroscopy is covered in poultry, oil, beverages, and other selected food matrices. Its pertinence toward discrimination in food quality and safety monitoring and authentication is examined. Finally, it also complies with the limitations, key challenges, and prospects. The chemometrics processing spectra implemented with simpler or no complicated sample pretreatment step make Raman spectroscopy technique a potential approach that is expected to achieve simultaneous and fast detection of multiple analytes in food matrices.
