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Optimization of cellulose nanocrystals from bamboo shoots using Response Surface Methodology
Cellulose-based advanced materials, such as cellulose nanocrystals (CNC), have high potential application for drug delivery system. In this study, the CNC were produced from bamboo shoots using acid hydrolysis process. The delignification of bamboo shoots was conducted using alkali and hydrogen pero...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6889032/ https://www.ncbi.nlm.nih.gov/pubmed/31844732 http://dx.doi.org/10.1016/j.heliyon.2019.e02807 |
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author | Wijaya, Christian J. Ismadji, Suryadi Aparamarta, Hakun W. Gunawan, Setiyo |
author_facet | Wijaya, Christian J. Ismadji, Suryadi Aparamarta, Hakun W. Gunawan, Setiyo |
author_sort | Wijaya, Christian J. |
collection | PubMed |
description | Cellulose-based advanced materials, such as cellulose nanocrystals (CNC), have high potential application for drug delivery system. In this study, the CNC were produced from bamboo shoots using acid hydrolysis process. The delignification of bamboo shoots was conducted using alkali and hydrogen peroxide pretreatment processes. The operating condition of the production of CNC from bamboo shoots was optimized using Response Surface Methodology (RSM) based on the yield and crystals recovery as the responses. The optimum CNC yield of 50.67 ± 0.74% with a crystals recovery of 77.99 ± 1.14% was obtained at the sulfuric acid concentration of 54.73 wt% and a temperature of 39 °C from the optimization based on the yield. This optimization has been validated to confirm the accuracy. |
format | Online Article Text |
id | pubmed-6889032 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-68890322019-12-16 Optimization of cellulose nanocrystals from bamboo shoots using Response Surface Methodology Wijaya, Christian J. Ismadji, Suryadi Aparamarta, Hakun W. Gunawan, Setiyo Heliyon Article Cellulose-based advanced materials, such as cellulose nanocrystals (CNC), have high potential application for drug delivery system. In this study, the CNC were produced from bamboo shoots using acid hydrolysis process. The delignification of bamboo shoots was conducted using alkali and hydrogen peroxide pretreatment processes. The operating condition of the production of CNC from bamboo shoots was optimized using Response Surface Methodology (RSM) based on the yield and crystals recovery as the responses. The optimum CNC yield of 50.67 ± 0.74% with a crystals recovery of 77.99 ± 1.14% was obtained at the sulfuric acid concentration of 54.73 wt% and a temperature of 39 °C from the optimization based on the yield. This optimization has been validated to confirm the accuracy. Elsevier 2019-11-27 /pmc/articles/PMC6889032/ /pubmed/31844732 http://dx.doi.org/10.1016/j.heliyon.2019.e02807 Text en © 2019 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Wijaya, Christian J. Ismadji, Suryadi Aparamarta, Hakun W. Gunawan, Setiyo Optimization of cellulose nanocrystals from bamboo shoots using Response Surface Methodology |
title | Optimization of cellulose nanocrystals from bamboo shoots using Response Surface Methodology |
title_full | Optimization of cellulose nanocrystals from bamboo shoots using Response Surface Methodology |
title_fullStr | Optimization of cellulose nanocrystals from bamboo shoots using Response Surface Methodology |
title_full_unstemmed | Optimization of cellulose nanocrystals from bamboo shoots using Response Surface Methodology |
title_short | Optimization of cellulose nanocrystals from bamboo shoots using Response Surface Methodology |
title_sort | optimization of cellulose nanocrystals from bamboo shoots using response surface methodology |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6889032/ https://www.ncbi.nlm.nih.gov/pubmed/31844732 http://dx.doi.org/10.1016/j.heliyon.2019.e02807 |
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