Food represents one of the fundamental needs for human beings. Analysis of foods is continuously requesting the development of more robust, efficient, sensitive, rapid and cost-effective analytical methodologies to guarantee the safety, quality, and traceability of foods in compliance with legislation and consumers’ demands. With recent advances in computational analysis, especially with improved machine learning methods and deep learning methods, the accuracy of prediction of food properties is improving, and this is pushing the boundaries of applications with increased reliability. Nondestructive methods have the potential to increase sustainability within the agricultural production and food processing industry, through reduced waste, increased safety of our foods, efficient production and processing, and reduced cost. Based on these considerations, this Special Issue aims at collecting studies describing the development and validation of innovative and rapid technologies applied to food analysis. The submitted papers can encompass different aspects and scopes: characterizing food quality and safety, authenticating foods and detecting frauds.

This Special Issue will disseminate recent advances in innovation, technology, equipment, and application of the nondestructive approach for food quality determination. Additionally, since chemometrics could play a fundamental role in the application of these techniques to food-related issues, papers dealing with new data processing approaches are also welcome.