Implementation of Chemometrics and Other Techniques as Means of Authenticity and Traceability to Detect Adulteration in Foods for the Protection of Human Health-Reference-Cited by-同舟云学术

Implementation of Chemometrics and Other Techniques as Means of Authenticity and Traceability to Detect Adulteration in Foods for the Protection of Human Health

Published:2023-02-02 Issue:3 Volume:12 Page:652
ISSN:2304-8158
Container-title:Foods
language:en
Short-container-title:Foods

Author:

Varzakas Theodoros¹^ORCID

Affiliation:

1. Department of Food Science and Technology, University of the Peloponnese, 24100 Kalamata, Greece

Abstract

The authenticity of foods of plant and animal origin is key to safeguarding both quality and safety aspects without jeopardizing consumers’ health [...]

Publisher

MDPI AG

Subject

Plant Science,Health Professions (miscellaneous),Health (social science),Microbiology,Food Science

Link

https://www.mdpi.com/2304-8158/12/3/652/pdf

Reference11 articles.

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2. Zhao, R., Liu, X., Wang, J., Wang, Y., Chen, A.-L., Zhao, Y., and Yang, S. (2022). Proposing Two Local Modeling Approaches for Discriminating PGI Sunite Lamb from Other Origins Using Stable Isotopes and Machine Learning. Foods, 11.

3. Rana, P., Liaw, S.-Y., Lee, M.-S., and Sheu, S.-C. (2021). Discrimination of Four Cinnamomum Species with Physico-Functional Properties and Chemometric Techniques: Application of PCA and MDA Models. Foods, 10.

4. Siddiqui, M.A., Khir, M.H.M., Witjaksono, G., Ghumman, A.S.M., Junaid, M., Magsi, S.A., and Saboor, A. (2021). Multivariate Analysis Coupled with M-SVM Classification for Lard Adulteration Detection in Meat Mixtures of Beef, Lamb, and Chicken Using FTIR Spectroscopy. Foods, 10.

5. Shomaji, S., Masna, N.V.R., Ariando, D., Paul, S.D., Horace-Herron, K., Forte, D., Mandal, S., and Bhunia, S. (2021). Detecting Dye-Contaminated Vegetables Using Low-Field NMR Relaxometry. Foods, 10.

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