Multivariate statistical analyses applied to NIR spectroscopy and digital image analyses for food products

• Grant number: 19/12625-1
• Support Opportunities: Scholarships in Brazil - Master
• Effective date (Start): August 01, 2019
• Effective date (End): July 31, 2021
• Field of knowledge: Agronomical Sciences - Food Science and Technology - Food Engineering
• Principal Investigator: Douglas Fernandes Barbin
• Grantee: Ingrid Alves de Moraes
• Host 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

This master's project will investigate the application of near-infrared spectral images (NIR-HSI) for differentiation and determination of the composition of different varieties of cocoa beans. Chemical composition and physical-chemical parameters such as color and pH will be evaluated for characterization of the samples. The images will be acquired and the region of interest to be analyzed will be isolated to obtain the spectra. The most relevant wavelengths in spectral measurements will be identified through variable selection methods to be used in predictive models, in order to reduce the volume of data for processing, enabling applications in the food industry. This work will be developed within a Young Researcher Project, whose proposal is to develop innovative methods of food evaluation with potential for medium-term application in industry. (AU)

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

DE MORAES, INGRID A.; CRUZ-TIRADO, LUIS J. P.; BARBIN, DOUGLAS FERNANDES. Online measurement of carambola (Averrhoa carambola L.) physicochemical properties and estimation of maturity stages using a portable NIR spectrometer. Scientia Horticulturae, v. 304, p. 9-pg., 2022-10-15. (19/12625-1, 15/24351-2, 20/09198-1)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

MORAES, Ingrid Alves de. The evaluation and classification of carambola using portable near infrared spectrometer (NIR). 2021. Master's Dissertation - Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia de Alimentos Campinas, SP.