At the Microbiology and Biotechnology Congress (Microbiotec) held in Covilhã, Portugal, from December 7 to 9, 2023, the TRACE-RICE team was honoured with the Best Poster Award in the category of Food Microbiology & Biotechnology. The awarded poster, titled Molecular Profiling of Hidden Insect Infestation in Stored Rice Grains: A Comprehensive RT-PCR Approach for Species Discrimination and...
The TRACE-RICE project was present, last October, at IV International Meeting of the Portuguese Society of Genetics, University of Minho in Braga, which included sessions in DNA-based approaches for organisms' detection and monitoring, such as (e)DNA (meta)barcoding, metagenomics and related approaches. The poster "Enhancing molecular screening of hidden insect infestation in rice grains by COI...
The TRACE-RICE project will be present at International Rice Congress - Accelerating Transformation of Rice-Based Food Systems: From Gene to Globe IRC2023 event from 16 to 19 October in Manila, Philippines. The IRC2023 is a scientific platform for rice-based food systems innovators to work towards shaping a food and nutrition secure future. Convened by the International Rice Research Institute...
IATA presented the poster "Understanding the marketed plant-based beverages: from ingredients technological function to their nutritional value" at the "X International PhD Student Symposium IATA" which took place on the 20th of October at the Institute of Agrochemistry and Food Technology in Paterna, Valencia, Spain.
The TRACE-RICE project was present, last October, at X Ibero-American Congress of Pharmaceutical Sciences, in Coimbra, focused on ‘Opening Borders’ in Pharmaceutical Sciences. The poster ‘Effect of Processing on Reduction of Pesticides Residues in Long Grain Rice’ was presented.
Due to the importance of rice (Oryza sativa) in food products, developing strategies to evaluate its quality based on a fast and reliable methodology is fundamental. Herein, near-infrared (NIR) spectroscopy combined with machine learning algorithms, such as interval partial least squares (iPLS), synergy interval PLS (siPLS), and artificial neural networks (ANNs), allowed for the development of...