NEWS

TRACE-RICE at Predoctoral Student Conference

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TRACE RICE project was present atthe VIII IATA-CSIC Predoctoral Student Conference. Our colleague, Eva Grau, a predoctoral student under the TRACE-RICE project, has exposed her firsts PhD results. The PhD will address food safety cost-effective solutions avoiding the use of chemical products in rice ready-to-eat products (WP2) and food quality correlations between rice compositional...

Day of the Mediterranean

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PRIMA celebrates the Day of the Mediterranean in November in collaboration with the Union for the Mediterranean (UfM). Accordingly, PRIMA will organize a webinar entitled "The Future of Sustainable Mediterranean Diet: challenges, opportunities and actions" that will take place on Thursday 25th of November from 10 to 13 CET. The webinar will start with...

New article for TRACE-RICE

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"Use of Artificial Neural Network Model for Rice Quality Prediction Based on Grain Physical Parameters" is the new article published under the TRACE-RICE project. The main goal of this study was to test the ability of an artificial neural network (ANN) for rice quality prediction based on grain physical parameters and to conduct a comparison with multiple linear regression (MLR) using 66...

Unraveling seasonings impact on cooked rice quality

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One more TRACE-RICE poster presented, now at the Spanish Cereal Chemist Association Workshop, for disseminating the results.

UNRAVELING SEASONINGS IMPACT ON COOKED RICE QUALITY: TECHNOLOGICAL AND NUTRITIONAL IMPLICATIONS FOR SUSHI

Sushi has become a worldwide consumed exotic dish, due to its flavor and texture, provided by the Koshihikari rice and the sushi seasoning (vinegar, sugar and salt)...

TRACE-RICE ready for "Dare2Change"

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TRACE-RICE team will be present at "Dare2Change, Innovation- Driven Agrifood Business" (november 18-19) and will present the following posters:

‘Trace-rice, Tracing rice and valorizing side streams along Mediterranean blockchain’

‘Effect of phytic acid on the viscosities and starch hydrolysis of rice varieties’

‘Artificial neural networks vs partial least squares modelling for rice...