Trends in Chemometrics: Food Authentication, Microbiology, and Effects of Processing
| Autor: | Danijela Bursać Kovačević, Basil Jarvis, Verônica Calado, Daniel Granato, Oxana Ye. Rodionova, Ramon S. Rocha, Jânio Sousa Santos, Alexey L. Pomerantsev, Predrag Putnik, Adriano G. Cruz |
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| Rok vydání: | 2018 |
| Předmět: |
Multivariate statistics
Process (engineering) Computer science media_common.quotation_subject 010401 analytical chemistry Sample (statistics) Context (language use) 04 agricultural and veterinary sciences 040401 food science 01 natural sciences Data science Authentication (law) 0104 chemical sciences Chemometrics 0404 agricultural biotechnology Pattern recognition (psychology) Quality (business) Food Science media_common |
| Zdroj: | Comprehensive Reviews in Food Science and Food Safety. 17:663-677 |
| ISSN: | 1541-4337 |
| DOI: | 10.1111/1541-4337.12341 |
| Popis: | In the last decade, the use of multivariate statistical techniques developed for analytical chemistry has been adopted widely in food science and technology. Usually, chemometrics is applied when there is a large and complex dataset, in terms of sample numbers, types, and responses. The results are used for authentication of geographical origin, farming systems, or even to trace adulteration of high value-added commodities. In this article, we provide an extensive practical and pragmatic overview on the use of the main chemometrics tools in food science studies, focusing on the effects of process variables on chemical composition and on the authentication of foods based on chemical markers. Pattern recognition methods, such as principal component analysis and cluster analysis, have been used to associate the level of bioactive components with in vitro functional properties, although supervised multivariate statistical methods have been used for authentication purposes. Overall, chemometrics is a useful aid when extensive, multiple, and complex real-life problems need to be addressed in a multifactorial and holistic context. Undoubtedly, chemometrics should be used by governmental bodies and industries that need to monitor the quality of foods, raw materials, and processes when high-dimensional data are available. We have focused on practical examples and listed the pros and cons of the most used chemometric tools to help the user choose the most appropriate statistical approach for analysis of complex and multivariate data. |
| Databáze: | OpenAIRE |
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