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

• Grant number: 19/06846-5
• Support Opportunities: Scholarships in Brazil - Master
• Start date: June 01, 2019
• End date: January 31, 2021
• Field of knowledge: Agronomical Sciences - Food Science and Technology - Food Engineering
• Principal Investigator: Douglas Fernandes Barbin
• Grantee: Maria Lucimar da Silva Medeiros
• 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 processed food products. 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)

HEBLING E TAVARES, JOAO PEDRO; DA SILVA MEDEIROS, MARIA LUCIMAR; BARBIN, DOUGLAS FERNANDES. Near-infrared techniques for fraud detection in dairy products: A review. Journal of Food Science, v. 87, n. 5, p. 18-pg., 2022-03-31. (20/09653-0, 19/06846-5)

MEDEIROS, MARIA LUCIMAR DA SILVA; CRUZ-TIRADO, J. P.; LIMA, ADRIANO FREITAS; NETTO, JOSE MARCELINO DE SOUZA; RIBEIRO, ANA PAULA BADAN; BASSEGIO, DOGLAS; GODOY, HELENA TEIXEIRA; BARBIN, DOUGLAS FERNANDES. Assessment oil composition and species discrimination of Brassicas seeds based on hyperspectral imaging and portable near infrared (NIR) spectroscopy tools and chemometrics. Journal of Food Composition and Analysis, v. 107, p. 11-pg., 2022-04-01. (20/09198-1, 14/50951-4, 15/24351-2, 19/06846-5, 08/57808-1, 18/02500-4)

CRUZ-TIRADO, J. P.; DA SILVA MEDEIROS, MARIA LUCIMAR; BARBIN, DOUGLAS FERNANDES. On-line monitoring of egg freshness using a portable NIR spectrometer in tandem with machine learning. Journal of Food Engineering, v. 306, OCT 2021. (19/06846-5, 15/24351-2, 18/02500-4, 19/04833-3)

Academic Publications

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

MEDEIROS, Maria Lucimar da Silva. Application of Near Infrared spectroscopy and hyperspectral imaging to quantify the oil content and classify Brassica seeds. 2021. Master's Dissertation - Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia de Alimentos Campinas, SP.