Modeling and performance optimization of starch-based biocomposite films using response surface methodology

The primary objective of this study is to optimize the significant parameters (filler type, filler size, and content) for improving the performance of starch-based biocomposite films. The mathematical and statistical tools such as response surface methodology (RSM) and analysis of variance (ANOVA) w...

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Detalles Bibliográficos
Autores: Mittal, Mohit, Chaudhary, Rajiv, Phutela, Kanchan, Airon, Mukta, Singh, R.C.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:México
Institución:UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO
Repositorio:Journal of Applied Research and Technology
Idioma:inglés
OAI Identifier:oai:ojs2.localhost:article/1239
Acceso en línea:https://jart.icat.unam.mx/index.php/jart/article/view/1239
Access Level:acceso abierto
Palabra clave:starch film
response surface methodology
performance parameters
almond shell
walnut shell
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spelling Modeling and performance optimization of starch-based biocomposite films using response surface methodologyMittal, MohitChaudhary, RajivPhutela, KanchanAiron, MuktaSingh, R.C.starch filmresponse surface methodologyperformance parametersalmond shellwalnut shellThe primary objective of this study is to optimize the significant parameters (filler type, filler size, and content) for improving the performance of starch-based biocomposite films. The mathematical and statistical tools such as response surface methodology (RSM) and analysis of variance (ANOVA) were employed for modeling and optimization. To verify the different developed models, validation tests were also performed. The results showed that the RSM based central composite design (CCD) is an effective tool to predict the relationship between various input parameters and desired responses. Most of the desirable properties [Tensile strength, Young’s modulus, impact strength, water vapor transmission rate (WVTR), and opacity] of starch-based films were improved with the increase of filler content. The optimum values of input and response parameters are: filler content: 8.11 wt.%, filler size: 27.07 µm, filler type: walnut shell, tensile strength: 32.43 MPa, Young’s modulus: 333.338 MPa, elongation at break: 9.90 %, impact strength: 34.12 J/mm, WVTR: 1040.40 g m-2 24 h-1, ROD: 31.6918 weight loss%/day, transparency 58.60 %transmittance/mm, and solubility 27.06%.Universidad Nacional Autónoma de México2022-08-31info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPeer-reviewed Articleapplication/pdfhttps://jart.icat.unam.mx/index.php/jart/article/view/123910.22201/icat.24486736e.2022.20.4.1239Journal of Applied Research and Technology; Vol. 20 No. 4 (2022); 430-447Journal of Applied Research and Technology; Vol. 20 Núm. 4 (2022); 430-4472448-67361665-642310.22201/icat.24486736e.2022.20.4reponame:Journal of Applied Research and Technologyinstname:UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICOinstacron:UNAMenghttps://jart.icat.unam.mx/index.php/jart/article/view/1239/924Copyright (c) 2022 Universidad Nacional Autónoma de Méxicoinfo:eu-repo/semantics/openAccessoai:ojs2.localhost:article/12392024-08-16T17:54:19Z
dc.title.none.fl_str_mv Modeling and performance optimization of starch-based biocomposite films using response surface methodology
title Modeling and performance optimization of starch-based biocomposite films using response surface methodology
spellingShingle Modeling and performance optimization of starch-based biocomposite films using response surface methodology
Mittal, Mohit
starch film
response surface methodology
performance parameters
almond shell
walnut shell
title_short Modeling and performance optimization of starch-based biocomposite films using response surface methodology
title_full Modeling and performance optimization of starch-based biocomposite films using response surface methodology
title_fullStr Modeling and performance optimization of starch-based biocomposite films using response surface methodology
title_full_unstemmed Modeling and performance optimization of starch-based biocomposite films using response surface methodology
title_sort Modeling and performance optimization of starch-based biocomposite films using response surface methodology
dc.creator.none.fl_str_mv Mittal, Mohit
Chaudhary, Rajiv
Phutela, Kanchan
Airon, Mukta
Singh, R.C.
author Mittal, Mohit
author_facet Mittal, Mohit
Chaudhary, Rajiv
Phutela, Kanchan
Airon, Mukta
Singh, R.C.
author_role author
author2 Chaudhary, Rajiv
Phutela, Kanchan
Airon, Mukta
Singh, R.C.
author2_role author
author
author
author
dc.subject.none.fl_str_mv starch film
response surface methodology
performance parameters
almond shell
walnut shell
topic starch film
response surface methodology
performance parameters
almond shell
walnut shell
description The primary objective of this study is to optimize the significant parameters (filler type, filler size, and content) for improving the performance of starch-based biocomposite films. The mathematical and statistical tools such as response surface methodology (RSM) and analysis of variance (ANOVA) were employed for modeling and optimization. To verify the different developed models, validation tests were also performed. The results showed that the RSM based central composite design (CCD) is an effective tool to predict the relationship between various input parameters and desired responses. Most of the desirable properties [Tensile strength, Young’s modulus, impact strength, water vapor transmission rate (WVTR), and opacity] of starch-based films were improved with the increase of filler content. The optimum values of input and response parameters are: filler content: 8.11 wt.%, filler size: 27.07 µm, filler type: walnut shell, tensile strength: 32.43 MPa, Young’s modulus: 333.338 MPa, elongation at break: 9.90 %, impact strength: 34.12 J/mm, WVTR: 1040.40 g m-2 24 h-1, ROD: 31.6918 weight loss%/day, transparency 58.60 %transmittance/mm, and solubility 27.06%.
publishDate 2022
dc.date.none.fl_str_mv 2022-08-31
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://jart.icat.unam.mx/index.php/jart/article/view/1239
10.22201/icat.24486736e.2022.20.4.1239
url https://jart.icat.unam.mx/index.php/jart/article/view/1239
identifier_str_mv 10.22201/icat.24486736e.2022.20.4.1239
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://jart.icat.unam.mx/index.php/jart/article/view/1239/924
dc.rights.none.fl_str_mv Copyright (c) 2022 Universidad Nacional Autónoma de México
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2022 Universidad Nacional Autónoma de México
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidad Nacional Autónoma de México
publisher.none.fl_str_mv Universidad Nacional Autónoma de México
dc.source.none.fl_str_mv Journal of Applied Research and Technology; Vol. 20 No. 4 (2022); 430-447
Journal of Applied Research and Technology; Vol. 20 Núm. 4 (2022); 430-447
2448-6736
1665-6423
10.22201/icat.24486736e.2022.20.4
reponame:Journal of Applied Research and Technology
instname:UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO
instacron:UNAM
instname_str UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO
instacron_str UNAM
institution UNAM
reponame_str Journal of Applied Research and Technology
collection Journal of Applied Research and Technology
repository.name.fl_str_mv
repository.mail.fl_str_mv
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