Enzymatic degradation of starch thermoplastic blends using samples of different thickness

Detalhes bibliográficos
Autor(a) principal: Araújo, M. Alberta
Data de Publicação: 2009
Outros Autores: Cunha, A. M., Mota, M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/1822/9170
Resumo: The material studied was a thermoplastic blend of corn starch with a poly(ethylene-vinyl alcohol) copolymer, SEVA-C. The influence of both the material’s exposed surface and enzyme concentration on degradation kinetics was studied. As α-amylase is present in the blood plasma, experiments were performed, varying the material thickness and the α-amylase between 50 and 100 units/l, at 37°C, lasting up to 90 days. Four different batches using SEVA-C and starch samples of different thickness were performed. The positive correlation between degradation rate and the exposed material surface was confirmed, since thin films with larger exposed surfaces were degraded faster than thick square plates having the same total mass. The degradation extent depends on the total amount of amorphous starch present in the formulation rather than on the amount of enzyme used and the minimum thickness to ensure maximum degradation was estimated to be close to 0.25 mm.
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spelling Enzymatic degradation of starch thermoplastic blends using samples of different thicknessScience & TechnologyThe material studied was a thermoplastic blend of corn starch with a poly(ethylene-vinyl alcohol) copolymer, SEVA-C. The influence of both the material’s exposed surface and enzyme concentration on degradation kinetics was studied. As α-amylase is present in the blood plasma, experiments were performed, varying the material thickness and the α-amylase between 50 and 100 units/l, at 37°C, lasting up to 90 days. Four different batches using SEVA-C and starch samples of different thickness were performed. The positive correlation between degradation rate and the exposed material surface was confirmed, since thin films with larger exposed surfaces were degraded faster than thick square plates having the same total mass. The degradation extent depends on the total amount of amorphous starch present in the formulation rather than on the amount of enzyme used and the minimum thickness to ensure maximum degradation was estimated to be close to 0.25 mm.Springer ScienceUniversidade do MinhoAraújo, M. AlbertaCunha, A. M.Mota, M.2009-022009-02-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/9170eng"Journal of Materials Science : materials in medicine." ISSN 0957-4530. 20:2 (Fev. 2009) 607–614.0957-453010.1007/s10856-008-3601-418853238http://www.springer.com/info: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:RCAAP2023-07-21T12:12:33Zoai:repositorium.sdum.uminho.pt:1822/9170Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:04:29.502406Repositório 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 Enzymatic degradation of starch thermoplastic blends using samples of different thickness
title Enzymatic degradation of starch thermoplastic blends using samples of different thickness
spellingShingle Enzymatic degradation of starch thermoplastic blends using samples of different thickness
Araújo, M. Alberta
Science & Technology
title_short Enzymatic degradation of starch thermoplastic blends using samples of different thickness
title_full Enzymatic degradation of starch thermoplastic blends using samples of different thickness
title_fullStr Enzymatic degradation of starch thermoplastic blends using samples of different thickness
title_full_unstemmed Enzymatic degradation of starch thermoplastic blends using samples of different thickness
title_sort Enzymatic degradation of starch thermoplastic blends using samples of different thickness
author Araújo, M. Alberta
author_facet Araújo, M. Alberta
Cunha, A. M.
Mota, M.
author_role author
author2 Cunha, A. M.
Mota, M.
author2_role author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Araújo, M. Alberta
Cunha, A. M.
Mota, M.
dc.subject.por.fl_str_mv Science & Technology
topic Science & Technology
description The material studied was a thermoplastic blend of corn starch with a poly(ethylene-vinyl alcohol) copolymer, SEVA-C. The influence of both the material’s exposed surface and enzyme concentration on degradation kinetics was studied. As α-amylase is present in the blood plasma, experiments were performed, varying the material thickness and the α-amylase between 50 and 100 units/l, at 37°C, lasting up to 90 days. Four different batches using SEVA-C and starch samples of different thickness were performed. The positive correlation between degradation rate and the exposed material surface was confirmed, since thin films with larger exposed surfaces were degraded faster than thick square plates having the same total mass. The degradation extent depends on the total amount of amorphous starch present in the formulation rather than on the amount of enzyme used and the minimum thickness to ensure maximum degradation was estimated to be close to 0.25 mm.
publishDate 2009
dc.date.none.fl_str_mv 2009-02
2009-02-01T00:00:00Z
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/1822/9170
url http://hdl.handle.net/1822/9170
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv "Journal of Materials Science : materials in medicine." ISSN 0957-4530. 20:2 (Fev. 2009) 607–614.
0957-4530
10.1007/s10856-008-3601-4
18853238
http://www.springer.com/
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dc.publisher.none.fl_str_mv Springer Science
publisher.none.fl_str_mv Springer Science
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