Manuscript Topics

In the last ten years, computational tools applied to food chemistry and technology have experienced a significant boost, allowing them to take advantage of the management and analysis of large data sets. The irruption of big data in the field of food science and technology allows, with the appropriate type of analysis, to complement in vitro and in vitro research methods within silico analysis that allows these systems to be investigated in much more detail, in aspects as varied as the prediction of properties oriented to the design of new ingredients, or the implementation of traceability or authenticity tools that prevent food fraud.

The undoubted increase in data available in multiple databases and online publications makes these lines of research already part of the scientific and technological forefront in the field of food, and that is why in this special issue we intend to collect original scientific articles, communications and bibliographic reviews that deal precisely with computational analysis in food science and technology, as well as its applications.

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