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

• Grant number: 19/11896-1
• 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: Yasmin Lima Brasil
• 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

The current work plan proposes the application of chemometric methods and multivariate analysis applied to near infrared (NIR) spectral information and digital images (RGB) for classification and authentication of cocoa butter. The samples will be characterized for composition and physical-chemical attributes such as color and pH. Digital images and spectral information will be obtained using portable equipment for further analysis. The most relevant wavelengths in spectral measurements will be identified for use in simplified predictive models. This step allows the development of other techniques, such as spectral imaging, as potential applications in the form of process analytical technologies (PAT) in the food industry. Similarly, parameters obtained from the digital images will be used as predictors for the identification of samples. This work will be developed within a Young Researcher Project, which proposal is to develop innovative methods as process analytical technologies in the food 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)

BRASIL, YASMIN LIMA; CRUZ-TIRADO, J. P.; BARBIN, DOUGLAS FERNANDES. Fast online estimation of quail eggs freshness using portable NIR spectrometer and machine learning. FOOD CONTROL, v. 131, JAN 2022. (20/09198-1, 15/24351-2, 18/02500-4, 19/11896-1)

Academic Publications

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

BRASIL, Yasmin Lima. Near infrared espectroscopy (NIRS) for determination of quality and freshness of quail eggs. 2021. Master's Dissertation - Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia de Alimentos Campinas, SP.