Optimization of process parameters for pilot-scale liquid-state bioconversion of sewage sludge by mixed fungal inoculation

Liquid-state bioconversion (LSB) technique has great potential for application in bioremediation of sewage sludge. The purpose of this study is to determine the optimum level of LSB process of sewage sludge treatment by mixed fungal (Aspergillus Niger and Penicillium corylophilum) inoculation in a p...

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Main Authors: Rahman, R. A., Molla, A. H., Barghash,, H. F. A., Fakhru'L-Razi, A.
Format: Article
Published: Taylor and Francis Ltd. 2015
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Online Access:http://eprints.utm.my/id/eprint/58727/
http://dx.doi.org/10.1080/09593330.2015.1058860
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spelling my.utm.587272021-12-19T06:34:17Z http://eprints.utm.my/id/eprint/58727/ Optimization of process parameters for pilot-scale liquid-state bioconversion of sewage sludge by mixed fungal inoculation Rahman, R. A. Molla, A. H. Barghash,, H. F. A. Fakhru'L-Razi, A. Q Science (General) Liquid-state bioconversion (LSB) technique has great potential for application in bioremediation of sewage sludge. The purpose of this study is to determine the optimum level of LSB process of sewage sludge treatment by mixed fungal (Aspergillus Niger and Penicillium corylophilum) inoculation in a pilot-scale bioreactor. The optimization of process factors was investigated using response surface methodology based on Box-Behnken design considering hydraulic retention time (HRT) and substrate influent concentration (S0) on nine responses for optimizing and fitted to the regression model. The optimum region was successfully depicted by optimized conditions, which was identified as the best fit for convenient multiple responses. The results from process verification were in close agreement with those obtained through predictions. Considering five runs of different conditions of HRT (low, medium and high 3.62, 6.13 and 8.27 days, respectively) with the range of S0 value (the highest 12.56 and the lowest 7.8514g14L-1), it was monitored as the lower HRT was considered as the best option because it required minimum days of treatment than the others with influent concentration around 1014g14L-1. Therefore, optimum process factors of 3.62 days for HRT and 10.1214g14L-1 for S0 were identified as the best fit for LSB process and its performance was deviated by less than 5% in most of the cases compared to the predicted values. The recorded optimized results address a dynamic development in commercial-scale biological treatment of wastewater for safe and environment-friendly disposal in near future. Taylor and Francis Ltd. 2015 Article PeerReviewed Rahman, R. A. and Molla, A. H. and Barghash,, H. F. A. and Fakhru'L-Razi, A. (2015) Optimization of process parameters for pilot-scale liquid-state bioconversion of sewage sludge by mixed fungal inoculation. Environmental Technology (United Kingdom), 37 (1). pp. 1-15. ISSN 9589-3161 http://dx.doi.org/10.1080/09593330.2015.1058860 DOI: 10.1080/09593330.2015.1058860
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic Q Science (General)
spellingShingle Q Science (General)
Rahman, R. A.
Molla, A. H.
Barghash,, H. F. A.
Fakhru'L-Razi, A.
Optimization of process parameters for pilot-scale liquid-state bioconversion of sewage sludge by mixed fungal inoculation
description Liquid-state bioconversion (LSB) technique has great potential for application in bioremediation of sewage sludge. The purpose of this study is to determine the optimum level of LSB process of sewage sludge treatment by mixed fungal (Aspergillus Niger and Penicillium corylophilum) inoculation in a pilot-scale bioreactor. The optimization of process factors was investigated using response surface methodology based on Box-Behnken design considering hydraulic retention time (HRT) and substrate influent concentration (S0) on nine responses for optimizing and fitted to the regression model. The optimum region was successfully depicted by optimized conditions, which was identified as the best fit for convenient multiple responses. The results from process verification were in close agreement with those obtained through predictions. Considering five runs of different conditions of HRT (low, medium and high 3.62, 6.13 and 8.27 days, respectively) with the range of S0 value (the highest 12.56 and the lowest 7.8514g14L-1), it was monitored as the lower HRT was considered as the best option because it required minimum days of treatment than the others with influent concentration around 1014g14L-1. Therefore, optimum process factors of 3.62 days for HRT and 10.1214g14L-1 for S0 were identified as the best fit for LSB process and its performance was deviated by less than 5% in most of the cases compared to the predicted values. The recorded optimized results address a dynamic development in commercial-scale biological treatment of wastewater for safe and environment-friendly disposal in near future.
format Article
author Rahman, R. A.
Molla, A. H.
Barghash,, H. F. A.
Fakhru'L-Razi, A.
author_facet Rahman, R. A.
Molla, A. H.
Barghash,, H. F. A.
Fakhru'L-Razi, A.
author_sort Rahman, R. A.
title Optimization of process parameters for pilot-scale liquid-state bioconversion of sewage sludge by mixed fungal inoculation
title_short Optimization of process parameters for pilot-scale liquid-state bioconversion of sewage sludge by mixed fungal inoculation
title_full Optimization of process parameters for pilot-scale liquid-state bioconversion of sewage sludge by mixed fungal inoculation
title_fullStr Optimization of process parameters for pilot-scale liquid-state bioconversion of sewage sludge by mixed fungal inoculation
title_full_unstemmed Optimization of process parameters for pilot-scale liquid-state bioconversion of sewage sludge by mixed fungal inoculation
title_sort optimization of process parameters for pilot-scale liquid-state bioconversion of sewage sludge by mixed fungal inoculation
publisher Taylor and Francis Ltd.
publishDate 2015
url http://eprints.utm.my/id/eprint/58727/
http://dx.doi.org/10.1080/09593330.2015.1058860
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score 13.160551