Intelligent and active biodegradable biopolymeric films containing carotenoids

Author(s)

de Oliveira Filho, Josemar Gonsalves ; Bertolo, Mirella Romanelli Vicente ; Fernandes, Sibele Santos ; Lemes, Ailton Cesar ; Silva, Guilherme da Cruz ; Bogusz Junior, Stanislau ; Cordeiro de Azeredo, Henriette Monteiro ; Mattoso, Luiz Henrique Capparelli ; Egea, Mariana Buranelo

• Document type: Journal article
• Source: Food Chemistry; v. 434, p. 16-pg., 2023-09-15.

Abstract

There is growing interest in the use of natural bioactive compounds for the development of new bio-based materials for intelligent and active food packaging applications. Several beneficial effects have been associated with the antioxidant and antimicrobial potentials of carotenoid compounds. In addition, carotenoids are sensitive to pH changes and oxidation reactions, which make them useful bioindicators of food deterioration. This review summarizes the current research on the application of carotenoids as novel intelligent and active biodegradable food packaging materials. Carotenoids recovered from food processing by-products can be used in the development of active food packaging materials due to their antioxidant properties. They help maintain the stability of lipid-rich foods, such as vegetable oils. Additionally, when incorporated into films, carotenoids can monitor food oxidation, providing intelligent functionalities. (AU)

• FAPESP's process: 21/13260-7 - Smart nanofibers functionalized with natural pigments: a new approach to food quality monitoring
• Grantee: Josemar Gonçalves de Oliveira Filho
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• FAPESP's process: 19/18748-8 - Chemical composition of strawberries coated with biofilm-based on pomegranate peel extract, chitosan, and gelatin
• Grantee: Mirella Romanelli Vicente Bertolo
• Support Opportunities: Scholarships in Brazil - Doctorate (Direct)
• FAPESP's process: 18/22214-6 - Towards a convergence of technologies: from sensing and biosensing to information visualization and machine learning for data analysis in clinical diagnosis
• Grantee: Osvaldo Novais de Oliveira Junior
• Support Opportunities: Research Projects - Thematic Grants