Evaluation of phenolic compounds and antioxidant activity of blueberries and modelization by artificial neural networks
Autor(a) principal: | |
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Data de Publicação: | 2018 |
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/10400.19/4857 |
Resumo: | The study aimed at evaluating the influence of different production conditions, conservation and extraction procedures on the total phenolic compounds and antioxidant activity of blueberries by DPPH and ABTS methods. The production factors considered were origin, altitude of the farm location and age of the bushes. The conservation conditions considered were freezing as opposed to the fresh product. The extraction procedures included two different solvents and two orders of extraction. The data analysis was carried out by training artificial neural networks to model the data and extract information from the model. The results obtained revealed that the type of extract and the order of extraction influenced the concentrations of phenolic compounds as well as the antioxidant activity of the different samples studied. Also the origin of the farms from where the blueberries were harvested significantly influence those properties, showing that the blueberries from Oliveira do Hospital had less phenolic compounds and lower antioxidant activity. Also older bushes at higher altitudes seem to produce berries richer in these properties. Regarding conservation, no influence was observed for phenols but a slight influence could be detected for antioxidant activity. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Evaluation of phenolic compounds and antioxidant activity of blueberries and modelization by artificial neural networksAntioxidant activityANN modelingExtractionProduction conditionsStorageTotal phenolsThe study aimed at evaluating the influence of different production conditions, conservation and extraction procedures on the total phenolic compounds and antioxidant activity of blueberries by DPPH and ABTS methods. The production factors considered were origin, altitude of the farm location and age of the bushes. The conservation conditions considered were freezing as opposed to the fresh product. The extraction procedures included two different solvents and two orders of extraction. The data analysis was carried out by training artificial neural networks to model the data and extract information from the model. The results obtained revealed that the type of extract and the order of extraction influenced the concentrations of phenolic compounds as well as the antioxidant activity of the different samples studied. Also the origin of the farms from where the blueberries were harvested significantly influence those properties, showing that the blueberries from Oliveira do Hospital had less phenolic compounds and lower antioxidant activity. Also older bushes at higher altitudes seem to produce berries richer in these properties. Regarding conservation, no influence was observed for phenols but a slight influence could be detected for antioxidant activity.Taylor & FrancisRepositório Científico do Instituto Politécnico de ViseuGuiné, RaquelMatos, SusanaGonçalves, Fernando J.Costa, DanielaMendes, Mateus2019-03-01T01:30:12Z20182018-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.19/4857engGuiné, R.P.F., Matos, S., Gonçalves, F.J., Costa, D., & Mendes, M. (2018). Evaluation of phenolic compounds and antioxidant activity of blueberries and modelization by artificial neural networks. International Journal of Fruit Science, 18(2), 199-214. doi:10.1080/15538362.2018.142565310.1080/15538362.2018.1425653info:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-01-16T15:27:40ZPortal AgregadorONG |
dc.title.none.fl_str_mv |
Evaluation of phenolic compounds and antioxidant activity of blueberries and modelization by artificial neural networks |
title |
Evaluation of phenolic compounds and antioxidant activity of blueberries and modelization by artificial neural networks |
spellingShingle |
Evaluation of phenolic compounds and antioxidant activity of blueberries and modelization by artificial neural networks Guiné, Raquel Antioxidant activity ANN modeling Extraction Production conditions Storage Total phenols |
title_short |
Evaluation of phenolic compounds and antioxidant activity of blueberries and modelization by artificial neural networks |
title_full |
Evaluation of phenolic compounds and antioxidant activity of blueberries and modelization by artificial neural networks |
title_fullStr |
Evaluation of phenolic compounds and antioxidant activity of blueberries and modelization by artificial neural networks |
title_full_unstemmed |
Evaluation of phenolic compounds and antioxidant activity of blueberries and modelization by artificial neural networks |
title_sort |
Evaluation of phenolic compounds and antioxidant activity of blueberries and modelization by artificial neural networks |
author |
Guiné, Raquel |
author_facet |
Guiné, Raquel Matos, Susana Gonçalves, Fernando J. Costa, Daniela Mendes, Mateus |
author_role |
author |
author2 |
Matos, Susana Gonçalves, Fernando J. Costa, Daniela Mendes, Mateus |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Repositório Científico do Instituto Politécnico de Viseu |
dc.contributor.author.fl_str_mv |
Guiné, Raquel Matos, Susana Gonçalves, Fernando J. Costa, Daniela Mendes, Mateus |
dc.subject.por.fl_str_mv |
Antioxidant activity ANN modeling Extraction Production conditions Storage Total phenols |
topic |
Antioxidant activity ANN modeling Extraction Production conditions Storage Total phenols |
description |
The study aimed at evaluating the influence of different production conditions, conservation and extraction procedures on the total phenolic compounds and antioxidant activity of blueberries by DPPH and ABTS methods. The production factors considered were origin, altitude of the farm location and age of the bushes. The conservation conditions considered were freezing as opposed to the fresh product. The extraction procedures included two different solvents and two orders of extraction. The data analysis was carried out by training artificial neural networks to model the data and extract information from the model. The results obtained revealed that the type of extract and the order of extraction influenced the concentrations of phenolic compounds as well as the antioxidant activity of the different samples studied. Also the origin of the farms from where the blueberries were harvested significantly influence those properties, showing that the blueberries from Oliveira do Hospital had less phenolic compounds and lower antioxidant activity. Also older bushes at higher altitudes seem to produce berries richer in these properties. Regarding conservation, no influence was observed for phenols but a slight influence could be detected for antioxidant activity. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018 2018-01-01T00:00:00Z 2019-03-01T01:30:12Z |
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/10400.19/4857 |
url |
http://hdl.handle.net/10400.19/4857 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Guiné, R.P.F., Matos, S., Gonçalves, F.J., Costa, D., & Mendes, M. (2018). Evaluation of phenolic compounds and antioxidant activity of blueberries and modelization by artificial neural networks. International Journal of Fruit Science, 18(2), 199-214. doi:10.1080/15538362.2018.1425653 10.1080/15538362.2018.1425653 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/embargoedAccess |
eu_rights_str_mv |
embargoedAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Taylor & Francis |
publisher.none.fl_str_mv |
Taylor & Francis |
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 |
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repository.mail.fl_str_mv |
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1777301968431087616 |