Artificial intelligence application for classification and selection of fish gelatin packaging film produced with incorporation of palm oil and plant essential oils
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/1822/68438 |
Resumo: | Supplementary material related to this article can be found, in the online version, at doi:https://doi.org/10.1016/j.fpsl.2020.100611. |
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Artificial intelligence application for classification and selection of fish gelatin packaging film produced with incorporation of palm oil and plant essential oilsWasteArtificial intelligenceKNN algorithmOil palmActive packagingScience & TechnologySupplementary 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/publishedVersionElsevier BVUniversidade do MinhoSilva, Natácia da Silva eFarias, Fabricio de SouzaFreitas, Mauricio Madson dos SantosPino Hernández, EnriqueDantas, Vanderson VasconcelosOliveira, Marcos Enê ChavesJoele, Maria Regina Sarkis PeixotoLourenço, Lúcia de Fátima Henriques2021-032021-03-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/68438engSilva, Natácia da Silva e; Farias, Fabricio de Souza; Freitas, Mauricio Madson dos Santos; Pino Hernández, Enrique; Dantas, Vanderson Vasconcelos; Oliveira, Marcos Enê Chaves; Joele, Maria Regina Sarkis Peixoto; Lourenço, Lúcia de Fátima Henriques, Artificial intelligence application for classification and selection of fish gelatin packaging film produced with incorporation of palm oil and plant essential oils. Food Packaging and Shelf Life, 27(100611), 20212214-289410.1016/j.fpsl.2020.100611https://www.journals.elsevier.com/food-packaging-and-shelf-lifeinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T11:56:32Zoai:repositorium.sdum.uminho.pt:1822/68438Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:46:08.524706Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Artificial intelligence application for classification and selection of fish gelatin packaging film produced with incorporation of palm oil and plant essential oils |
title |
Artificial intelligence application for classification and selection of fish gelatin packaging film produced with incorporation of palm oil and plant essential oils |
spellingShingle |
Artificial intelligence application for classification and selection of fish gelatin packaging film produced with incorporation of palm oil and plant essential oils Silva, Natácia da Silva e Waste Artificial intelligence KNN algorithm Oil palm Active packaging Science & Technology |
title_short |
Artificial intelligence application for classification and selection of fish gelatin packaging film produced with incorporation of palm oil and plant essential oils |
title_full |
Artificial intelligence application for classification and selection of fish gelatin packaging film produced with incorporation of palm oil and plant essential oils |
title_fullStr |
Artificial intelligence application for classification and selection of fish gelatin packaging film produced with incorporation of palm oil and plant essential oils |
title_full_unstemmed |
Artificial intelligence application for classification and selection of fish gelatin packaging film produced with incorporation of palm oil and plant essential oils |
title_sort |
Artificial intelligence application for classification and selection of fish gelatin packaging film produced with incorporation of palm oil and plant essential oils |
author |
Silva, Natácia da Silva e |
author_facet |
Silva, Natácia da Silva e Farias, Fabricio de Souza Freitas, Mauricio Madson dos Santos Pino Hernández, Enrique Dantas, Vanderson Vasconcelos Oliveira, Marcos Enê Chaves Joele, Maria Regina Sarkis Peixoto Lourenço, Lúcia de Fátima Henriques |
author_role |
author |
author2 |
Farias, Fabricio de Souza Freitas, Mauricio Madson dos Santos Pino Hernández, Enrique Dantas, Vanderson Vasconcelos Oliveira, Marcos Enê Chaves Joele, Maria Regina Sarkis Peixoto Lourenço, Lúcia de Fátima Henriques |
author2_role |
author author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Silva, Natácia da Silva e Farias, Fabricio de Souza Freitas, Mauricio Madson dos Santos Pino Hernández, Enrique Dantas, Vanderson Vasconcelos Oliveira, Marcos Enê Chaves Joele, Maria Regina Sarkis Peixoto Lourenço, Lúcia de Fátima Henriques |
dc.subject.por.fl_str_mv |
Waste Artificial intelligence KNN algorithm Oil palm Active packaging Science & Technology |
topic |
Waste Artificial intelligence KNN algorithm Oil palm Active packaging Science & Technology |
description |
Supplementary material related to this article can be found, in the online version, at doi:https://doi.org/10.1016/j.fpsl.2020.100611. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-03 2021-03-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/1822/68438 |
url |
http://hdl.handle.net/1822/68438 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Silva, Natácia da Silva e; Farias, Fabricio de Souza; Freitas, Mauricio Madson dos Santos; Pino Hernández, Enrique; Dantas, Vanderson Vasconcelos; Oliveira, Marcos Enê Chaves; Joele, Maria Regina Sarkis Peixoto; Lourenço, Lúcia de Fátima Henriques, Artificial intelligence application for classification and selection of fish gelatin packaging film produced with incorporation of palm oil and plant essential oils. Food Packaging and Shelf Life, 27(100611), 2021 2214-2894 10.1016/j.fpsl.2020.100611 https://www.journals.elsevier.com/food-packaging-and-shelf-life |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier BV |
publisher.none.fl_str_mv |
Elsevier BV |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799132216227266561 |