Optimization of Photocatalytic Degradation of Palm Oil Mill Effluent in UV/ZnO system based on Response Surface Methodology

This paper reports on the optimization of palm oil mill effluent (POME) degradation in a UV-activated-ZnO system based on central composite design (CCD) in response surface methodology (RSM). Three potential factors, viz. O2 flowrate (A), ZnO loading (B) and initial concentration of POME (C) were ev...

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Main Authors: Ng, Kim Hoong, Cheng, Yoke Wang, Khan, Maksudur R., Cheng, C. K.
Format: Article
Language:English
Published: Elsevier Ltd 2016
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/14877/7/fkksa-2016-ck-Optimization%20Of%20Photocatalytic%20Degradation%20Of%20Palm%20Oil%20Mill.pdf
http://umpir.ump.edu.my/id/eprint/14877/
http://dx.doi.org/10.1016/j.jenvman.2016.10.034
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spelling my.ump.umpir.148772019-02-07T08:27:49Z http://umpir.ump.edu.my/id/eprint/14877/ Optimization of Photocatalytic Degradation of Palm Oil Mill Effluent in UV/ZnO system based on Response Surface Methodology Ng, Kim Hoong Cheng, Yoke Wang Khan, Maksudur R. Cheng, C. K. TP Chemical technology This paper reports on the optimization of palm oil mill effluent (POME) degradation in a UV-activated-ZnO system based on central composite design (CCD) in response surface methodology (RSM). Three potential factors, viz. O2 flowrate (A), ZnO loading (B) and initial concentration of POME (C) were evaluated for the significance analysis using a 23 full factorial design before the optimization process. It is found that all the three main factors were significant, with contributions of 58.27% (A), 15.96% (B) and 13.85% (C), respectively, to the POME degradation. In addition, the interactions between the factors AB, AC and BC also have contributed 4.02%, 3.12% and 1.01% to the POME degradation. Subsequently, all the three factors were subjected to statistical central composite design (CCD) analysis. Quadratic models were developed and rigorously checked. A 3D-response surface was subsequently generated. Two successive validation experiments were carried out and the degradation achieved were 55.25 and 55.33%, contrasted with 52.45% for predicted degradation value. Elsevier Ltd 2016-10-16 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/14877/7/fkksa-2016-ck-Optimization%20Of%20Photocatalytic%20Degradation%20Of%20Palm%20Oil%20Mill.pdf Ng, Kim Hoong and Cheng, Yoke Wang and Khan, Maksudur R. and Cheng, C. K. (2016) Optimization of Photocatalytic Degradation of Palm Oil Mill Effluent in UV/ZnO system based on Response Surface Methodology. Journal of Environmental Management, 184 (Pt. 3). pp. 487-493. ISSN 0301-4797 http://dx.doi.org/10.1016/j.jenvman.2016.10.034 doi: 10.1016/j.jenvman.2016.10.034
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TP Chemical technology
spellingShingle TP Chemical technology
Ng, Kim Hoong
Cheng, Yoke Wang
Khan, Maksudur R.
Cheng, C. K.
Optimization of Photocatalytic Degradation of Palm Oil Mill Effluent in UV/ZnO system based on Response Surface Methodology
description This paper reports on the optimization of palm oil mill effluent (POME) degradation in a UV-activated-ZnO system based on central composite design (CCD) in response surface methodology (RSM). Three potential factors, viz. O2 flowrate (A), ZnO loading (B) and initial concentration of POME (C) were evaluated for the significance analysis using a 23 full factorial design before the optimization process. It is found that all the three main factors were significant, with contributions of 58.27% (A), 15.96% (B) and 13.85% (C), respectively, to the POME degradation. In addition, the interactions between the factors AB, AC and BC also have contributed 4.02%, 3.12% and 1.01% to the POME degradation. Subsequently, all the three factors were subjected to statistical central composite design (CCD) analysis. Quadratic models were developed and rigorously checked. A 3D-response surface was subsequently generated. Two successive validation experiments were carried out and the degradation achieved were 55.25 and 55.33%, contrasted with 52.45% for predicted degradation value.
format Article
author Ng, Kim Hoong
Cheng, Yoke Wang
Khan, Maksudur R.
Cheng, C. K.
author_facet Ng, Kim Hoong
Cheng, Yoke Wang
Khan, Maksudur R.
Cheng, C. K.
author_sort Ng, Kim Hoong
title Optimization of Photocatalytic Degradation of Palm Oil Mill Effluent in UV/ZnO system based on Response Surface Methodology
title_short Optimization of Photocatalytic Degradation of Palm Oil Mill Effluent in UV/ZnO system based on Response Surface Methodology
title_full Optimization of Photocatalytic Degradation of Palm Oil Mill Effluent in UV/ZnO system based on Response Surface Methodology
title_fullStr Optimization of Photocatalytic Degradation of Palm Oil Mill Effluent in UV/ZnO system based on Response Surface Methodology
title_full_unstemmed Optimization of Photocatalytic Degradation of Palm Oil Mill Effluent in UV/ZnO system based on Response Surface Methodology
title_sort optimization of photocatalytic degradation of palm oil mill effluent in uv/zno system based on response surface methodology
publisher Elsevier Ltd
publishDate 2016
url http://umpir.ump.edu.my/id/eprint/14877/7/fkksa-2016-ck-Optimization%20Of%20Photocatalytic%20Degradation%20Of%20Palm%20Oil%20Mill.pdf
http://umpir.ump.edu.my/id/eprint/14877/
http://dx.doi.org/10.1016/j.jenvman.2016.10.034
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score 13.211869