Advanced evaluation techniques: Gas sensor networks, machine learning, and chemometrics for fraud detection in plant and animal products

• Published in: Sensors and actuators. A. Physical. Vol. 370; p. 115192
• Main Authors: Karami, Hamed, Kamruzzaman, Mohammed, Covington, James A., Hassouna, M.élynda, Darvishi, Yousef, Ueland, Maiken, Fuentes, Sigfredo, Gancarz, Marek
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.05.2024; Elsevier
• Subjects: Adulteration; Agricultural sciences; Foods; Gas Sensors; Life Sciences; Multivariate analysis; Sciences and technics of agriculture; VOCs; VOCs; Foods; Multivariate analysis; Gas Sensors; Adulteration
• ISSN: 0924-4247; 1873-3069
• DOI: 10.1016/j.sna.2024.115192

Food fraud occurs worldwide in several aspects, affecting almost all food commodities. Aside from being a significant economic issue, it is a concern in terms of health issue, quality and consumer rights. As food fraud methods have become more sophisticated, due to complexity of fraudulent practices...