Advanced Analytic Techniques in Food Chemistry

Dear Colleagues,

Research in the field of Food Chemistry is gaining significant attention due to the higher consciousness of the final consumer and the stricter international legislature that is in charge of controlling the traceability along the food chain and assessing the authenticity of the final product that will be on the consumer’s table. Moreover, globalization and the free market raise the issue of controlling food quality obtained by the application of different agricultural practices around the world. Despite the introduction on the market of highly sensitive and accurate instruments to perform analytical analysis of the food product, still, great efforts are needed to make this huge amount of data useful to rapidly trace the several steps constituting the food chain and to assess the unique identity of a food product in a way that, ideally, the consumer will have a self-telling product on the table. Such a goal could be reached only if the scientific community involved in this field of research communicates effectively, putting together information derived from different analytical techniques and different approaches. Moreover, the introduction and development of new advanced theoretical algorithms, using the data produced in the laboratories, should give a boost to the quality assessment of the commercialized food products, enhancing the local biodiversity, agricultural practices, and geographical authenticity.

The focus of the Special Issue will be on innovations in the field of analytic techniques used to assess the traceability and authenticity of food products. Considering the multidisciplinarity of this field, a broad range of topics will be explored, including spectroscopic methods, chemometric studies, the Internet of Things, machine learning, and data fusion. Reviews, full papers, and short communications focused on new achievements in this area are expected. Potential topics include but are not limited to:

• Food metabolomics;
• Targeted and non-targeted spectroscopic analysis;
• Chemometric studies;
• Internet of Things: machine learning and artificial-intelligence-driven applications;
• Wearable sensors and IoT applied to food chain traceability.

Dr. Biagia Musio
Dr. Antonino Rizzuti
Guest Editors

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• food authenticity
• food chain traceability
• targeted metabolic analysis
• non-targeted metabolic analysis
• fingerprinting
• metabolic profiling
• blockchain
• artificial intelligence
• internet of things
• wearable sensors
• chemometric analysis