food quality

Data fusion strategies in food analysis

With the growing availability of high throughput methodologies for food characterization and analysis, more and more data are being collected on food products that can be used for the authentication of their quality. In this context, the availability of different multi-block strategies, each with its own peculiarities and providing specific details on the investigated samples, allows to integrate the information from the different sources into a richer model with great flexibility.

Reflectance colorimetry: a mirror for food quality. A mini review

As known, color plays a dominant role in orienting consumer choices. Beyond the individual perception, color expressed by foodstuff is strictly associated to quality, genuineness, work-up and storage conditions and could be correlated with the presence of a characteristic chemical profile. This represents a matter of crucial importance in functional foods, where bioactive molecules are often intensely colored and in all foods whose composition change could undergo bleaching and browning processes.

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