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Hyperspectral imaging and artificial intelligence for quality control of protein-based products: isolates, microcapsules and gels

Grant number: 20/09198-1
Support Opportunities:Scholarships in Brazil - Doctorate
Effective date (Start): November 01, 2020
Field of knowledge:Agronomical Sciences - Food Science and Technology - Food Engineering
Principal Investigator:Douglas Fernandes Barbin
Grantee:Luis Jam Pier Cruz Tirado
Host Institution: Faculdade de Engenharia de Alimentos (FEA). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
Associated scholarship(s):23/11773-2 - Insect-based powder detection in plant-based powder foods by spectroscopy and hyperspectral imaging combined with chemometrics, BE.EP.DR


Protein is one of the fundamental macronutrients for the development and maintenance of the human body. In the last few years, the concern with the population increase and reduced resources, has generated a change in the consumption of animal protein for vegetable protein and emerging sources (e.g. insect). The protein isolated from different sources can be used for the development of new food formulations, as a wall material to encapsulate compounds of interest or as a biopolymer for packaging applications. Obtaining protein products involves several parameters: (1) quality of the protein isolate, (2) control of the production process of the materials, including the efficiency of the process, and (3) quality of the final product. In this approach, it is necessary to develop analysis methodologies that are fast, reliable, free of reagents and easy to execute. Hyperspectral images (HSI) fulfill this criterion, and their application in protein products is, until today, little explored. However, the large amount of information provided by HSI must be analyzed using Artificial Intelligence (AI), such as machine learning methods. In this project, we propose to use HSI in combination with AI to develop new analytical methodologies for the quality control of protein products, which includes protein isolates, oil-filled microcapsules and hydrogels and curcumin-loaded aerogels.

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Scientific publications (12)
(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., . (19/12625-1, 15/24351-2, 20/09198-1)
CRUZ-TIRADO, J. P.; AMIGO, JOSE MANUEL; BARBIN, DOUGLAS FERNANDES; KUCHERYAVSKIY, SERGEY. Data reduction by randomization subsampling for the study of large hyperspectral datasets. Analytica Chimica Acta, v. 1209, p. 13-pg., . (20/09198-1)
CRUZ-TIRADO, J. P.; DE FRANCA, PEDRO RENANN LOPES; BARBIN, DOUGLAS FERNANDES. Chia (Salvia hispanica) seeds degradation studied by fuzzy-c mean (FCM) and hyperspectral imaging and chemometrics - fatty acids quantification. SCIENTIA AGROPECUARIA, v. 13, n. 2, p. 7-pg., . (20/09198-1, 21/06606-4)
CRUZ-TIRADO, J. P.; BRASIL, YASMIN LIMA; LIMA, ADRIANO FREITAS; PRETEL, HEILER ALVA; GODOY, HELENA TEIXEIRA; BARBIN, DOUGLAS; SICHE, RAUL. Rapid and non-destructive cinnamon authentication by NIR-hyperspectral imaging and classification chemometrics tools. SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, v. 289, p. 11-pg., . (20/09198-1)
DE FRANCA, PEDRO RENANN; CRUZ-TIRADO, JAM PIER; BARBIN, DOUGLAS FERNANDES; KUROZAWA, LOUISE EMY. Hot air drying of red beet: Process and product quality monitoring by digital images and near infrared spectroscopy. Drying Technology, v. N/A, p. 11-pg., . (18/02500-4, 19/23032-1, 20/09198-1)
CRUZ-TIRADO, J. P.; VIEIRA, MATHEUS SILVA DOS SANTOS; AMIGO, JOSE MANUEL; SICHE, RAUL; BARBIN, DOUGLAS FERNANDES. Prediction of protein and lipid content in black soldier fly (Hermetia illucens L.) larvae flour using portable NIR spectrometers and chemometrics. FOOD CONTROL, v. 153, p. 12-pg., . (14/50951-4, 20/09198-1, 15/24351-2, 08/57808-1, 22/07725-0)
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., . (20/09198-1, 14/50951-4, 15/24351-2, 19/06846-5, 08/57808-1, 18/02500-4)
FLORIAN-HUAMAN, JHASTIN; CRUZ-TIRADO, J. P.; BARBIN, DOUGLAS FERNANDES; SICHE, RAUL. Detection of nutshells in cumin powder using NIR hyperspectral imaging and chemometrics tools. Journal of Food Composition and Analysis, v. 108, p. 10-pg., . (18/02500-4, 20/09198-1)
MEDEIROS, MARIA LUCIMAR DA SILVA; BRASIL, YASMIN LIMA; CRUZ-TIRADO, LUIS JAM PIER; LIMA, ADRIANO FREITAS; GODOY, HELENA TEIXEIRA; BARBIN, DOUGLAS FERNANDES. Portable NIR spectrometer and chemometric tools for predicting quality attributes and adulteration levels in butteroil. FOOD CONTROL, v. 144, p. 12-pg., . (20/09198-1)
CRUZ-TIRADO, J. P.; DE FRANCA, RENANN LOPES; TUMBAJULCA, MARLON; BARRAZA-JAUREGUI, GABRIELA; BARBIN, DOUGLAS FERNANDES; SICHE, RAUL. Detection of cumin powder adulteration with allergenic nutshells using FT-IR and portable NIRS coupled with chemometrics. Journal of Food Composition and Analysis, v. 116, p. 13-pg., . (21/06606-4, 20/09198-1)
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, . (20/09198-1, 15/24351-2, 18/02500-4, 19/11896-1)

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