Extraction of cellulose nano-whiskers using ionic liquid-assisted ultra-sonication: optimization and mathematical modelling using Box–Behnken design

This study focuses on the extraction of cellulose nano-whiskers (CNWs) from the leaves of Adansonia kilima (AK), usually known as African baobab, using a combination of a microwave-assisted alkali (KOH) pre-treatment with subsequent bleaching process prior to ultra-sonication. Ultra-sonication was c...

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Main Authors: Chowdhury, Zaira Zaman, Chandran, R. Reevenishaa Ravi, Jahan, Afrin, Khalid, Khalisanni, Rahman, Md. Mahfujur, Al-Amin, Md, Pivehzhani, Omid Akbarzadeh, Badruddin, Irfan Anjum, Khan, T. M. Yunus, Kamangar, Sarfaraz, Hamizi, Nor Aliya, Abdul Wahab, Yasmin, Johan, Mohd Rafie, Adebisi, Ganiyu Abimbola
Format: Article
Language:English
Published: MDPI 2019
Online Access:http://psasir.upm.edu.my/id/eprint/38262/1/38262.pdf
http://psasir.upm.edu.my/id/eprint/38262/
https://www.mdpi.com/2073-8994/11/9/1148
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Institution: Universiti Putra Malaysia
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spelling my.upm.eprints.382622020-05-04T16:09:18Z http://psasir.upm.edu.my/id/eprint/38262/ Extraction of cellulose nano-whiskers using ionic liquid-assisted ultra-sonication: optimization and mathematical modelling using Box–Behnken design Chowdhury, Zaira Zaman Chandran, R. Reevenishaa Ravi Jahan, Afrin Khalid, Khalisanni Rahman, Md. Mahfujur Al-Amin, Md Pivehzhani, Omid Akbarzadeh Badruddin, Irfan Anjum Khan, T. M. Yunus Kamangar, Sarfaraz Hamizi, Nor Aliya Abdul Wahab, Yasmin Johan, Mohd Rafie Adebisi, Ganiyu Abimbola This study focuses on the extraction of cellulose nano-whiskers (CNWs) from the leaves of Adansonia kilima (AK), usually known as African baobab, using a combination of a microwave-assisted alkali (KOH) pre-treatment with subsequent bleaching process prior to ultra-sonication. Ultra-sonication was carried out using the ionic liquid (IL) 1-butyl-3-methylimidazolium hydrogen sulfate (Bmim-HSO4). Process parameters for ultra-sonication were optimized using a two-level factorial Box–Behnken design (BBD). Process variables such as ultra-sonication power (x1), hydrolysing time (x2) and temperature (x3) were varied. Responses selected were percentage crystallinity index, CrI% (y1) and yield% (y1) for the finally procured CNWs sample. Regression analysis was carried out to develop quadratic model to analyze the effect of process variables on IL-assisted ultra-sonication process. Analysis of variance (ANOVA) showed that ultra-sonication power was the most influential aspect for hydrolyzing the amorphous segments of crude cellulose extracted from baobab leaves. A relative study of the physio-chemical properties of the starting lignocellulosic substrate (AK), KOH pre-treated, bleached and IL-assisted ultra-sonicated CNWs was conducted. The synthesized samples were characterized using Fourier transform infrared spectroscopy, Scanning electron microscopy, atomic force microscopy, high resolution transmission electron microscopy, X-ray diffraction and thermo-gravimetric and zeta potential analysis. Under optimum condition, the extracted CNWs showed an average width of 15–20 nm; with high crystallinity index of 86.46%. This research provides an insight about the delignification of Adansonia kilima (AK) leaves and its effective conversion to CNWs having high crystallinity. MDPI 2019 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/38262/1/38262.pdf Chowdhury, Zaira Zaman and Chandran, R. Reevenishaa Ravi and Jahan, Afrin and Khalid, Khalisanni and Rahman, Md. Mahfujur and Al-Amin, Md and Pivehzhani, Omid Akbarzadeh and Badruddin, Irfan Anjum and Khan, T. M. Yunus and Kamangar, Sarfaraz and Hamizi, Nor Aliya and Abdul Wahab, Yasmin and Johan, Mohd Rafie and Adebisi, Ganiyu Abimbola (2019) Extraction of cellulose nano-whiskers using ionic liquid-assisted ultra-sonication: optimization and mathematical modelling using Box–Behnken design. Symmetry, 11 (9). art. no. 1148. pp. 1-20. ISSN 2073-8994 https://www.mdpi.com/2073-8994/11/9/1148 10.3390/sym11091148
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description This study focuses on the extraction of cellulose nano-whiskers (CNWs) from the leaves of Adansonia kilima (AK), usually known as African baobab, using a combination of a microwave-assisted alkali (KOH) pre-treatment with subsequent bleaching process prior to ultra-sonication. Ultra-sonication was carried out using the ionic liquid (IL) 1-butyl-3-methylimidazolium hydrogen sulfate (Bmim-HSO4). Process parameters for ultra-sonication were optimized using a two-level factorial Box–Behnken design (BBD). Process variables such as ultra-sonication power (x1), hydrolysing time (x2) and temperature (x3) were varied. Responses selected were percentage crystallinity index, CrI% (y1) and yield% (y1) for the finally procured CNWs sample. Regression analysis was carried out to develop quadratic model to analyze the effect of process variables on IL-assisted ultra-sonication process. Analysis of variance (ANOVA) showed that ultra-sonication power was the most influential aspect for hydrolyzing the amorphous segments of crude cellulose extracted from baobab leaves. A relative study of the physio-chemical properties of the starting lignocellulosic substrate (AK), KOH pre-treated, bleached and IL-assisted ultra-sonicated CNWs was conducted. The synthesized samples were characterized using Fourier transform infrared spectroscopy, Scanning electron microscopy, atomic force microscopy, high resolution transmission electron microscopy, X-ray diffraction and thermo-gravimetric and zeta potential analysis. Under optimum condition, the extracted CNWs showed an average width of 15–20 nm; with high crystallinity index of 86.46%. This research provides an insight about the delignification of Adansonia kilima (AK) leaves and its effective conversion to CNWs having high crystallinity.
format Article
author Chowdhury, Zaira Zaman
Chandran, R. Reevenishaa Ravi
Jahan, Afrin
Khalid, Khalisanni
Rahman, Md. Mahfujur
Al-Amin, Md
Pivehzhani, Omid Akbarzadeh
Badruddin, Irfan Anjum
Khan, T. M. Yunus
Kamangar, Sarfaraz
Hamizi, Nor Aliya
Abdul Wahab, Yasmin
Johan, Mohd Rafie
Adebisi, Ganiyu Abimbola
spellingShingle Chowdhury, Zaira Zaman
Chandran, R. Reevenishaa Ravi
Jahan, Afrin
Khalid, Khalisanni
Rahman, Md. Mahfujur
Al-Amin, Md
Pivehzhani, Omid Akbarzadeh
Badruddin, Irfan Anjum
Khan, T. M. Yunus
Kamangar, Sarfaraz
Hamizi, Nor Aliya
Abdul Wahab, Yasmin
Johan, Mohd Rafie
Adebisi, Ganiyu Abimbola
Extraction of cellulose nano-whiskers using ionic liquid-assisted ultra-sonication: optimization and mathematical modelling using Box–Behnken design
author_facet Chowdhury, Zaira Zaman
Chandran, R. Reevenishaa Ravi
Jahan, Afrin
Khalid, Khalisanni
Rahman, Md. Mahfujur
Al-Amin, Md
Pivehzhani, Omid Akbarzadeh
Badruddin, Irfan Anjum
Khan, T. M. Yunus
Kamangar, Sarfaraz
Hamizi, Nor Aliya
Abdul Wahab, Yasmin
Johan, Mohd Rafie
Adebisi, Ganiyu Abimbola
author_sort Chowdhury, Zaira Zaman
title Extraction of cellulose nano-whiskers using ionic liquid-assisted ultra-sonication: optimization and mathematical modelling using Box–Behnken design
title_short Extraction of cellulose nano-whiskers using ionic liquid-assisted ultra-sonication: optimization and mathematical modelling using Box–Behnken design
title_full Extraction of cellulose nano-whiskers using ionic liquid-assisted ultra-sonication: optimization and mathematical modelling using Box–Behnken design
title_fullStr Extraction of cellulose nano-whiskers using ionic liquid-assisted ultra-sonication: optimization and mathematical modelling using Box–Behnken design
title_full_unstemmed Extraction of cellulose nano-whiskers using ionic liquid-assisted ultra-sonication: optimization and mathematical modelling using Box–Behnken design
title_sort extraction of cellulose nano-whiskers using ionic liquid-assisted ultra-sonication: optimization and mathematical modelling using box–behnken design
publisher MDPI
publishDate 2019
url http://psasir.upm.edu.my/id/eprint/38262/1/38262.pdf
http://psasir.upm.edu.my/id/eprint/38262/
https://www.mdpi.com/2073-8994/11/9/1148
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