Bacillus subtilis bacteria @ chitosan biopolymer for Reactive Orange 16 dye removal: multivariable optimization and desirability functions by response surface methodology
In this work, chitosan (CHS) carbohydrate biopolymer was modified with biomass of Bacillus subtilis bacteria (BCLS) to produce a new biocomposite adsorbent (CHS@BCLS). Several analyses including XRD, FTIR, SEM-EDX, and pHpzc were utilized to investigate the properties of CHS@BCLS. The applicability...
Published in: | BIOMASS CONVERSION AND BIOREFINERY |
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Main Authors: | , , , , |
Format: | Article; Early Access |
Language: | English |
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SPRINGER HEIDELBERG
2025
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Online Access: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001423083000001 |
author |
Agha Hasan M.; Wu Ruihong; Jawad Ali H.; Alothman Zeid A. |
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Agha Hasan M.; Wu Ruihong; Jawad Ali H.; Alothman Zeid A. Bacillus subtilis bacteria @ chitosan biopolymer for Reactive Orange 16 dye removal: multivariable optimization and desirability functions by response surface methodology Energy & Fuels; Engineering |
author_facet |
Agha Hasan M.; Wu Ruihong; Jawad Ali H.; Alothman Zeid A. |
author_sort |
Agha |
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Agha, Hasan M.; Wu, Ruihong; Jawad, Ali H.; Alothman, Zeid A. Bacillus subtilis bacteria @ chitosan biopolymer for Reactive Orange 16 dye removal: multivariable optimization and desirability functions by response surface methodology BIOMASS CONVERSION AND BIOREFINERY English Article; Early Access In this work, chitosan (CHS) carbohydrate biopolymer was modified with biomass of Bacillus subtilis bacteria (BCLS) to produce a new biocomposite adsorbent (CHS@BCLS). Several analyses including XRD, FTIR, SEM-EDX, and pHpzc were utilized to investigate the properties of CHS@BCLS. The applicability of CHS@BCLS as an effective adsorbent was evaluated towards removal of toxic textile dye namely Reactive Orange 16 (RO16) from aqueous environment. A statistical modeling using Box-Behnken design (BBD) was implemented to optimize the CHS@BCLS efficacy in adsorbing RO16 dye. Thus, three independent parameters were involved in the experiment such as the dose of CHS@BCLS (A, 0.02-0.1 g/100 mL), the contact time (B, 20-180 min), and the RO16 solution pH (C, 4-10). The kinetic study confirms that the adsorption of RO16 through the CHS@BCLS biocomposite follows a pseudo-second order (PSO). Furthermore, Freundlich isotherm model was the best model to describe the isotherm data, and the calculated maximum adsorption capacity of CHS@BCLS biocomposite (qmax) was recorded to be 120 mg/g. The biosorption of RO16 by the CHS@BCLS biocomposite is facilitated by several pathways including electrostatic forces, n-pi interactions, and hydrogen bonding. Hence, the output of this research work shows the effectiveness of the CHS@BCLS biocomposite towards removal of toxic textile dyes from contaminated water. SPRINGER HEIDELBERG 2190-6815 2190-6823 2025 10.1007/s13399-025-06626-1 Energy & Fuels; Engineering WOS:001423083000001 https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001423083000001 |
title |
Bacillus subtilis bacteria @ chitosan biopolymer for Reactive Orange 16 dye removal: multivariable optimization and desirability functions by response surface methodology |
title_short |
Bacillus subtilis bacteria @ chitosan biopolymer for Reactive Orange 16 dye removal: multivariable optimization and desirability functions by response surface methodology |
title_full |
Bacillus subtilis bacteria @ chitosan biopolymer for Reactive Orange 16 dye removal: multivariable optimization and desirability functions by response surface methodology |
title_fullStr |
Bacillus subtilis bacteria @ chitosan biopolymer for Reactive Orange 16 dye removal: multivariable optimization and desirability functions by response surface methodology |
title_full_unstemmed |
Bacillus subtilis bacteria @ chitosan biopolymer for Reactive Orange 16 dye removal: multivariable optimization and desirability functions by response surface methodology |
title_sort |
Bacillus subtilis bacteria @ chitosan biopolymer for Reactive Orange 16 dye removal: multivariable optimization and desirability functions by response surface methodology |
container_title |
BIOMASS CONVERSION AND BIOREFINERY |
language |
English |
format |
Article; Early Access |
description |
In this work, chitosan (CHS) carbohydrate biopolymer was modified with biomass of Bacillus subtilis bacteria (BCLS) to produce a new biocomposite adsorbent (CHS@BCLS). Several analyses including XRD, FTIR, SEM-EDX, and pHpzc were utilized to investigate the properties of CHS@BCLS. The applicability of CHS@BCLS as an effective adsorbent was evaluated towards removal of toxic textile dye namely Reactive Orange 16 (RO16) from aqueous environment. A statistical modeling using Box-Behnken design (BBD) was implemented to optimize the CHS@BCLS efficacy in adsorbing RO16 dye. Thus, three independent parameters were involved in the experiment such as the dose of CHS@BCLS (A, 0.02-0.1 g/100 mL), the contact time (B, 20-180 min), and the RO16 solution pH (C, 4-10). The kinetic study confirms that the adsorption of RO16 through the CHS@BCLS biocomposite follows a pseudo-second order (PSO). Furthermore, Freundlich isotherm model was the best model to describe the isotherm data, and the calculated maximum adsorption capacity of CHS@BCLS biocomposite (qmax) was recorded to be 120 mg/g. The biosorption of RO16 by the CHS@BCLS biocomposite is facilitated by several pathways including electrostatic forces, n-pi interactions, and hydrogen bonding. Hence, the output of this research work shows the effectiveness of the CHS@BCLS biocomposite towards removal of toxic textile dyes from contaminated water. |
publisher |
SPRINGER HEIDELBERG |
issn |
2190-6815 2190-6823 |
publishDate |
2025 |
container_volume |
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container_issue |
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doi_str_mv |
10.1007/s13399-025-06626-1 |
topic |
Energy & Fuels; Engineering |
topic_facet |
Energy & Fuels; Engineering |
accesstype |
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id |
WOS:001423083000001 |
url |
https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001423083000001 |
record_format |
wos |
collection |
Web of Science (WoS) |
_version_ |
1825722599446937600 |