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Acetylation of Amaranthus viridis starch: Modeling and process parameters optimization

The optimum reaction conditions for the derivation of acetylated (esterified) starch using response surface methodology (RSM) and artificial neural network (ANN) were studied. All the independent variables (starch solids, acetic anhydride concentration, and reaction time) were of significant (p <...

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Autores principales: Fasuan, Temitope Omolayo, Akanbi, Charles Taiwo, Betiku, Eriola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6060891/
https://www.ncbi.nlm.nih.gov/pubmed/30065830
http://dx.doi.org/10.1002/fsn3.677
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author Fasuan, Temitope Omolayo
Akanbi, Charles Taiwo
Betiku, Eriola
author_facet Fasuan, Temitope Omolayo
Akanbi, Charles Taiwo
Betiku, Eriola
author_sort Fasuan, Temitope Omolayo
collection PubMed
description The optimum reaction conditions for the derivation of acetylated (esterified) starch using response surface methodology (RSM) and artificial neural network (ANN) were studied. All the independent variables (starch solids, acetic anhydride concentration, and reaction time) were of significant (p < .05) importance in achieving esterified starch of Amaranthus viridis. Optimum conditions of 152.46 g of starch, 11 ml of acetic anhydride and time of 2.92 min with corresponding acetyl content and degree of substitution (DS) of 1.74% and 0.06, respectively, were established for ANN. The RSM gave optimum conditions of 149.57 g (starch), 10.38 ml (acetic anhydride) and 3 min (time) with corresponding acetyl content and DS of 1.61% and 0.06, respectively. The order of priority of the process variables was established as acetic anhydride (42.59%), starch solids (33.90%), and reaction time (23.51%). The results provided useful information on development of economic and efficient acetylation process for modification of A. viridis starch.
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spelling pubmed-60608912018-07-31 Acetylation of Amaranthus viridis starch: Modeling and process parameters optimization Fasuan, Temitope Omolayo Akanbi, Charles Taiwo Betiku, Eriola Food Sci Nutr Original Research The optimum reaction conditions for the derivation of acetylated (esterified) starch using response surface methodology (RSM) and artificial neural network (ANN) were studied. All the independent variables (starch solids, acetic anhydride concentration, and reaction time) were of significant (p < .05) importance in achieving esterified starch of Amaranthus viridis. Optimum conditions of 152.46 g of starch, 11 ml of acetic anhydride and time of 2.92 min with corresponding acetyl content and degree of substitution (DS) of 1.74% and 0.06, respectively, were established for ANN. The RSM gave optimum conditions of 149.57 g (starch), 10.38 ml (acetic anhydride) and 3 min (time) with corresponding acetyl content and DS of 1.61% and 0.06, respectively. The order of priority of the process variables was established as acetic anhydride (42.59%), starch solids (33.90%), and reaction time (23.51%). The results provided useful information on development of economic and efficient acetylation process for modification of A. viridis starch. John Wiley and Sons Inc. 2018-05-21 /pmc/articles/PMC6060891/ /pubmed/30065830 http://dx.doi.org/10.1002/fsn3.677 Text en © 2018 The Authors. Food Science & Nutrition published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Fasuan, Temitope Omolayo
Akanbi, Charles Taiwo
Betiku, Eriola
Acetylation of Amaranthus viridis starch: Modeling and process parameters optimization
title Acetylation of Amaranthus viridis starch: Modeling and process parameters optimization
title_full Acetylation of Amaranthus viridis starch: Modeling and process parameters optimization
title_fullStr Acetylation of Amaranthus viridis starch: Modeling and process parameters optimization
title_full_unstemmed Acetylation of Amaranthus viridis starch: Modeling and process parameters optimization
title_short Acetylation of Amaranthus viridis starch: Modeling and process parameters optimization
title_sort acetylation of amaranthus viridis starch: modeling and process parameters optimization
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6060891/
https://www.ncbi.nlm.nih.gov/pubmed/30065830
http://dx.doi.org/10.1002/fsn3.677
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