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

Abstract

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, highly efficient and reliable adulteration detection techniques are needed. In many food fraud detection methods, sample preparation and analysis involve detailed steps that require advanced technologies, making the process tedious and time-consuming. Therefore, the development of non-destructive and rapid methods for detecting food fraud has attracted considerable attention. Recently, electroni..