Ammoniacal nitrogen removal by Eichhornia crassipes-based phytoremediation : process optimization using response surface methodology

Eutrophication is a serious environmental issue that needs urgent concern. There is necessity to treat wastewater with high ammoniacal nitrogen (AN) concentration to the permissible standard limit to protect the aquatic ecosystem. This study investigated the optimum condition for AN removal from was...

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Main Authors: Tan, Ivy Ai Wei, Ting, Winnie Huong Tien, Shanti Faridah, Salleh, Noraziah, Abdul Wahab
Format: Article
Language:en
Published: Springer Nature Switzerland 2020
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Online Access:http://ir.unimas.my/id/eprint/31270/1/Ting.pdf
http://ir.unimas.my/id/eprint/31270/
https://link.springer.com/article/10.1007/s13201-020-1163-x
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author Tan, Ivy Ai Wei
Ting, Winnie Huong Tien
Shanti Faridah, Salleh
Noraziah, Abdul Wahab
author_facet Tan, Ivy Ai Wei
Ting, Winnie Huong Tien
Shanti Faridah, Salleh
Noraziah, Abdul Wahab
author_sort Tan, Ivy Ai Wei
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
continent Asia
country Malaysia
description Eutrophication is a serious environmental issue that needs urgent concern. There is necessity to treat wastewater with high ammoniacal nitrogen (AN) concentration to the permissible standard limit to protect the aquatic ecosystem. This study investigated the optimum condition for AN removal from wastewater using Eichhornia crassipes-based phytoremediation process. Face-centered central composite design (CCD) was employed as the experimental design, in which four operational variables including pH (4–10), retention time (2–14 days), macrophyte density (5–30 g/L) and salinity (0–5 g NaCl/L) were involved in the study, while five responses were investigated, namely AN removal efficiency (Y1), fresh biomass growth (Y2), COD (Y3), BOD (Y4) and TSS (Y5). AN removal was the main focus in this study. Through numerical optimization, the highest AN removal efficiency of 77.48% (initial AN concentration = 40 mg/L) was obtained at the following optimum condition: pH 8.51, retention time of 8.47 days, macrophyte density of 21.39 g/L and salinity of 0 g NaCl/L. The values predicted from the models agreed satisfactorily with the experimental values, which implied that response surface methodology was reliable and practical for experimental design developed using optimization of the phytoremediation process. The validation experiment using real semiconductor effluent further supported the high potential of the E. crassipes-based phytoremediation system to remove AN and other organic pollutants in this industrial effluent under optimal condition
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spelling my.unimas.ir-312702021-05-29T06:49:04Z http://ir.unimas.my/id/eprint/31270/ Ammoniacal nitrogen removal by Eichhornia crassipes-based phytoremediation : process optimization using response surface methodology Tan, Ivy Ai Wei Ting, Winnie Huong Tien Shanti Faridah, Salleh Noraziah, Abdul Wahab TP Chemical technology Eutrophication is a serious environmental issue that needs urgent concern. There is necessity to treat wastewater with high ammoniacal nitrogen (AN) concentration to the permissible standard limit to protect the aquatic ecosystem. This study investigated the optimum condition for AN removal from wastewater using Eichhornia crassipes-based phytoremediation process. Face-centered central composite design (CCD) was employed as the experimental design, in which four operational variables including pH (4–10), retention time (2–14 days), macrophyte density (5–30 g/L) and salinity (0–5 g NaCl/L) were involved in the study, while five responses were investigated, namely AN removal efficiency (Y1), fresh biomass growth (Y2), COD (Y3), BOD (Y4) and TSS (Y5). AN removal was the main focus in this study. Through numerical optimization, the highest AN removal efficiency of 77.48% (initial AN concentration = 40 mg/L) was obtained at the following optimum condition: pH 8.51, retention time of 8.47 days, macrophyte density of 21.39 g/L and salinity of 0 g NaCl/L. The values predicted from the models agreed satisfactorily with the experimental values, which implied that response surface methodology was reliable and practical for experimental design developed using optimization of the phytoremediation process. The validation experiment using real semiconductor effluent further supported the high potential of the E. crassipes-based phytoremediation system to remove AN and other organic pollutants in this industrial effluent under optimal condition Springer Nature Switzerland 2020 Article PeerReviewed text en http://ir.unimas.my/id/eprint/31270/1/Ting.pdf Tan, Ivy Ai Wei and Ting, Winnie Huong Tien and Shanti Faridah, Salleh and Noraziah, Abdul Wahab (2020) Ammoniacal nitrogen removal by Eichhornia crassipes-based phytoremediation : process optimization using response surface methodology. Applied Water Science, 10 (80). pp. 1-11. ISSN 2190-5495 https://link.springer.com/article/10.1007/s13201-020-1163-x DOI:org/10.1007/s13201-020-1163-x)
spellingShingle TP Chemical technology
Tan, Ivy Ai Wei
Ting, Winnie Huong Tien
Shanti Faridah, Salleh
Noraziah, Abdul Wahab
Ammoniacal nitrogen removal by Eichhornia crassipes-based phytoremediation : process optimization using response surface methodology
title Ammoniacal nitrogen removal by Eichhornia crassipes-based phytoremediation : process optimization using response surface methodology
title_full Ammoniacal nitrogen removal by Eichhornia crassipes-based phytoremediation : process optimization using response surface methodology
title_fullStr Ammoniacal nitrogen removal by Eichhornia crassipes-based phytoremediation : process optimization using response surface methodology
title_full_unstemmed Ammoniacal nitrogen removal by Eichhornia crassipes-based phytoremediation : process optimization using response surface methodology
title_short Ammoniacal nitrogen removal by Eichhornia crassipes-based phytoremediation : process optimization using response surface methodology
title_sort ammoniacal nitrogen removal by eichhornia crassipes-based phytoremediation : process optimization using response surface methodology
topic TP Chemical technology
url http://ir.unimas.my/id/eprint/31270/1/Ting.pdf
http://ir.unimas.my/id/eprint/31270/
https://link.springer.com/article/10.1007/s13201-020-1163-x
url_provider http://ir.unimas.my/