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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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 |
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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. |
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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 |
_version_ |
1665895969335541760 |