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Application of hyperspectral imaging technology in food of commercial interest for Peru and Brazil

Grant number: 19/08836-7
Support type:Regular Research Grants
Duration: October 01, 2019 - September 30, 2020
Field of knowledge:Agronomical Sciences - Food Science and Technology - Food Engineering
Cooperation agreement: Concytec
Mobility Program: SPRINT - Projetos de pesquisa - Mobilidade
Principal Investigator:Douglas Fernandes Barbin
Grantee:Douglas Fernandes Barbin
Principal investigator abroad: Raul Benito Siche Jara
Institution abroad: Universidad Nacional de Trujillo (UNT), Peru
Home Institution: Faculdade de Engenharia de Alimentos (FEA). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
Associated research grant:15/24351-2 - Applications of image analyses and NIR spectroscopy for quality assessment and authentication of food products, AP.JP

Abstract

Quality control in the food industry is carried out using chemical, physical and microbiological test. Some of these methods are slow, laborious and destructive. Nowadays it is possible to replace most of the drawbacks of these methods through indirect fast and non-destructive techniques. Hyperspectral systems is currently the state of the art in this field, finding different applications for determination of chemical composition and quality features of food and agricultural products. This technique offers a number of advantages over traditional methods of quality assessment, including ease of adaptation for online systems and the possibility of simultaneous determination of several attributes. However, there are few studies on the subject in emerging countries. This project aims to establish a collaboration between the research groups involved, developing the application of hyperspectral imaging in products of commercial interest for Peru and Brazil. The project aims to establish the collaboration between the groups involved, disseminating the research carried out and strengthening the link for future proposals to funding agencies. (AU)