Prof. Cristina Silva convidada para congresso de química alimentar
A Prof. Cristina L.M. Silva foi oradora convidada no congresso 1st Food Chemistry Conference - Shaping the Future of Food Quality, Health and Safety que teve lugar dias 31 de outubro e 1 de novembro de 2016 em Amsterdão, na Holanda. A sua apresentação intitulou-se Integrative predictive modeling for food safety and quality - Tools and applications.
O evento comemorou o 40º aniversário da revista internacional Food Chemistry e reuniu especialistas e jovens investigadores do meio universitário, centros de pesquisa e indústria para debater os mais recentes avanços científicos no campo da química alimentar e os respetivos desafios, atuais e futuros, no que toca à qualidade, saúde e segurança da cadeia alimentar.
A palestra da Prof. Cristina L.M. Silva baseou-se no resumo abaixo. Os interessados podem entrar em contacto através do email firstname.lastname@example.org.
«To produce food with the required quality and safety, the whole chain has to be taken into consideration. From post-harvest/slaughter to processing, storage and distribution, the understanding of how physical, chemical and/or microbial parameters affect foodstuffs is crucial in order to control and predict conditions assuring its quality. The outcome should be shelf-life extension, with reduced environmental impact and consequently better food security.
Food quality and safety needs a holistic approach, taking into consideration aspects such as: microstructure, composition and their relationship with molecular mobility, and consequently microbial behavior; kinetics of change of several parameters, like enzymatic activities, microbial counts, or different quality parameters; transport phenomena in processing, storage and distribution.
This work proposes the use of predictive modeling as an integrative tool, taking into consideration the holistic approach to food safety and quality. A summary of the main aspects that shall/can be taken into account will be presented, along the main state of knowledge. The main challenges for progressing on this field will be also listed. Finally, a few case studies will be presented together with the advantages of using integrative predictive modeling in terms of food safety, quality and security.»