ESS - CM - Posters apresentados em eventos científicos
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Browsing ESS - CM - Posters apresentados em eventos científicos by Author "Barroso, M. Fátima"
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- Authenticating honey origin from Natural Park of Montesinho: innovative electrochemical genosensor devices assembled in paper-based transducersPublication . Pereira, Eduarda; Morais, Stephanie L.; Seguro, Isabel; Silva, Nádia F. D.; Santos, Marlene; Pacheco, João G.; Delerue-Matos, Cristina; Barroso, M. FátimaThe Natural Park of Montesinho (NPM) has a diverse ecosystem that is home to countless species of trees and plants characteristic of this area, including Castanea sativa. The honey produced in this region is highly appreciated for its taste and nutritional value, but it also has a wide range of health benefits. The geographical origin of the honey is a very important aspect in assessing the quality and authentication of the final product. Currently, several approaches are being explored to determinethese parameters, among which deoxyribonucleic acid (DNA)-based methods stand out.
- CYTED Network: GEnoPsySEn - Development of genosensors for pharmacogenomic targets in the central nervous systemPublication . Santos, Marlene; Caldevilla, Renato; Grosso, Clara; Simal-Gandara, J.; Molina, Patricia G.; Pinto, Giovanny R.; Villa, Cristian C.; Serra, Gloria; Feria-Romero, Iris A.; Solano, Ovidio; Sanabria, Diana P. Dresseler; Souto, Pilar Villaverde; Comba, Fausto N.; Barroso, M. FátimaThe GenoPsySEN thematic network is a newly CYTED approved collaborative project between institutions and investigators from Argentina, Brazil, Colombia, El Salvador, Mexico, Spain, Paraguay, Portugal, and Uruguay, aimed at incorporating their expertise in various scientific disciplines into the successful development of genosensors for the detection of genetic variations affecting drug response in neuropsychiatric diseases. This project seeks to transfer scientific and technological results that can be applied to improve the Ibero-American Public Health Systems and contribute to reducing the number of patients without adequate treatment.