Optimization of Remazol Black B Removal Using Biochar Produced from Caulerpa scalpelliformis Using Response Surface Methodology

Optimization of Remazol Black B Removal Using Biochar Produced from Caulerpa scalpelliformis Using Response Surface Methodology

Optimization of process conditions for the removal of Remazol Black B was investigated using response surface methodology (Box–Behnken design). The biodecolorization of dye was studied using biochar produced from waste biomass of Caulerpa scalpelliformis (marine seaweeds). The reactions were optimiz...

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Main Authors: R. Gokulan, S. Balaji, P. Sivaprakasam
Format: Article
Language:English
Published: Hindawi Limited 2021-01-01
Series:Advances in Materials Science and Engineering
Online Access:http://dx.doi.org/10.1155/2021/1535823
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spelling doaj-9750589525ad47c6b90d76e090c8b31c2021-08-09T00:00:52ZengHindawi LimitedAdvances in Materials Science and Engineering1687-84422021-01-01202110.1155/2021/1535823Optimization of Remazol Black B Removal Using Biochar Produced from Caulerpa scalpelliformis Using Response Surface MethodologyR. Gokulan0S. Balaji1P. Sivaprakasam2Department of Civil EngineeringDepartment of Civil EngineeringDepartment of Mechanical EngineeringOptimization of process conditions for the removal of Remazol Black B was investigated using response surface methodology (Box–Behnken design). The biodecolorization of dye was studied using biochar produced from waste biomass of Caulerpa scalpelliformis (marine seaweeds). The reactions were optimized by varying sorbent dosage, solution pH, temperature, and initial dye concentration. The results indicated that dye removal efficiency of 80.30% was attained at an operating condition of 4 g/L (sorbent dosage), 2.0 (solution pH), 35°C (temperature), and 0.25 mmol/L (initial dye concentration). The regression coefficient of the developed model was calculated to be 97% which shows good fit of the model.http://dx.doi.org/10.1155/2021/1535823
collection DOAJ
language English
format Article
sources DOAJ
author R. Gokulan
S. Balaji
P. Sivaprakasam
spellingShingle R. Gokulan
S. Balaji
P. Sivaprakasam
Optimization of Remazol Black B Removal Using Biochar Produced from Caulerpa scalpelliformis Using Response Surface Methodology
Advances in Materials Science and Engineering
author_facet R. Gokulan
S. Balaji
P. Sivaprakasam
author_sort R. Gokulan
title Optimization of Remazol Black B Removal Using Biochar Produced from Caulerpa scalpelliformis Using Response Surface Methodology
title_short Optimization of Remazol Black B Removal Using Biochar Produced from Caulerpa scalpelliformis Using Response Surface Methodology
title_full Optimization of Remazol Black B Removal Using Biochar Produced from Caulerpa scalpelliformis Using Response Surface Methodology
title_fullStr Optimization of Remazol Black B Removal Using Biochar Produced from Caulerpa scalpelliformis Using Response Surface Methodology
title_full_unstemmed Optimization of Remazol Black B Removal Using Biochar Produced from Caulerpa scalpelliformis Using Response Surface Methodology
title_sort optimization of remazol black b removal using biochar produced from caulerpa scalpelliformis using response surface methodology
publisher Hindawi Limited
series Advances in Materials Science and Engineering
issn 1687-8442
publishDate 2021-01-01
description Optimization of process conditions for the removal of Remazol Black B was investigated using response surface methodology (Box–Behnken design). The biodecolorization of dye was studied using biochar produced from waste biomass of Caulerpa scalpelliformis (marine seaweeds). The reactions were optimized by varying sorbent dosage, solution pH, temperature, and initial dye concentration. The results indicated that dye removal efficiency of 80.30% was attained at an operating condition of 4 g/L (sorbent dosage), 2.0 (solution pH), 35°C (temperature), and 0.25 mmol/L (initial dye concentration). The regression coefficient of the developed model was calculated to be 97% which shows good fit of the model.
url http://dx.doi.org/10.1155/2021/1535823
work_keys_str_mv AT rgokulan optimizationofremazolblackbremovalusingbiocharproducedfromcaulerpascalpelliformisusingresponsesurfacemethodology
AT sbalaji optimizationofremazolblackbremovalusingbiocharproducedfromcaulerpascalpelliformisusingresponsesurfacemethodology
AT psivaprakasam optimizationofremazolblackbremovalusingbiocharproducedfromcaulerpascalpelliformisusingresponsesurfacemethodology
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