Artificial intelligence application for classification and selection of fish gelatin packaging film produced with incorporation of palm oil and plant essential oils

Autor: Natácia da Silva e Silva, Maurício Madson dos Santos Freitas, Fabricio de Souza Farias, Marcos Enê Chaves Oliveira, Vanderson Vasconcelos Dantas, Lúcia de Fátima Henriques Lourenço, Maria Regina Sarkis Peixoto Joele, Enrique José Gregorio Pino Hernández
Přispěvatelé: Universidade do Minho
Rok vydání: 2021
Předmět:
Zdroj: Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
ISSN: 2214-2894
Popis: Supplementary material related to this article can be found, in the online version, at doi:https://doi.org/10.1016/j.fpsl.2020.100611.
The k-Nearest Neighbor (KNN) algorithm was used to classify and select biodegradable packaging produced from fish gelatine incorporated with palm oil and clove and oregano essential oils. All reinforced films are highly resistant to attraction, with an emphasis on a sample of clove essential oil with a value of 53.18 MPa. Also, the addition of palm oil and essential oils increases the elasticity and thickness of the packages. The packages have antioxidant and antimicrobial properties with an inhibition zone for S. aureus of 11.73 and 11.23 mm for the film with essential oil of oregano and film with palm oil, respectively. KNN proved to be efficient for the classification and selection of packaging. The results highlighted the packaging with clove essential oil as the best for presenting the highest values of antioxidant activity, tensile strength, and elongation. Palm oil is an interesting alternative for applications in biodegradable films due to its antimicrobial activity, antioxidant properties, abundance, and low cost. Packaging made of fish gelatin with the addition of vegetable oils is a promising alternative for food applications.
The authors thank the Coordination for the Improvement of Higher Education Personnel (CAPES) for the financial support.
info:eu-repo/semantics/publishedVersion
Databáze: OpenAIRE