TY - JOUR
T1 - Optimization of process parameters in mixed sulfide oxidation bacterial culture using response surface methodology as a tool
AU - Ahmad, Mani Malam
AU - Azoddein, Abd Aziz Mohd
AU - Zahari, Mior Ahmad Khushairi Mohd
AU - Seman, Mazrul Nezam bin Abu
AU - Jami, Mohammed Saedi
AU - Olalere, Olusegun Abayomi
AU - Alara, Oluwaseun Ruth
N1 - Funding Information:
The authors acknowledge the financial support from Universiti Malaysia Pahang through Postgraduate Research Scheme (PGRS) and Doctorate Scholarship Scheme (DSS). Likewise, we appreciate the technical support of Faculty of Chemical and Natural Resources Engineering.
Publisher Copyright:
© 2017 The Authors
PY - 2017/11/10
Y1 - 2017/11/10
N2 - The integrated bacterial mixed culture consortium with disproportionate oxygen demand was discovered to mutually cooperate with one single biofilm in oxidizing sulfide at different concentration. The present work was carried out to verify the potential of bacterial mixed culture (BMC) in developing a predictive optimum condition for sulfide oxidation in a laboratory batch mode. A face centered central composite design (FCCCD) under response surface methodology (RSM) was employed to predict the synergistic effects of initial hydrogen sulfide concentration (100–500 ppm), temperature (30–40 °C) and aeration rates (50–250 vvm) on BMC sulfide oxidation. A total number of 20 experimental runs with 6 centre points were carried out. The obtained results were analyzed using design expert and statistical validation indices to check the adequacy of the obtained quadratic models. The analysis of variance showed that more than 99% of the variation was explained by the models. There was a good agreement between experimental and predicted data. The optimum sulfide removal of 448.75 ppm was achieved at the temperature of 32.4 °C, initial hydrogen sulfide of 500 ppm and aeration rates of 110.06 vvm in 8 h. Therefore, the finding depicts the adequacy of the obtained model in enhancing BMC sulfide oxidation conditions. The model is further affirmed through SEM-EDXS analysis, revealing oxidized sulfide product aggregate of the micrographs coupled with elemental identification and quantitative composition.
AB - The integrated bacterial mixed culture consortium with disproportionate oxygen demand was discovered to mutually cooperate with one single biofilm in oxidizing sulfide at different concentration. The present work was carried out to verify the potential of bacterial mixed culture (BMC) in developing a predictive optimum condition for sulfide oxidation in a laboratory batch mode. A face centered central composite design (FCCCD) under response surface methodology (RSM) was employed to predict the synergistic effects of initial hydrogen sulfide concentration (100–500 ppm), temperature (30–40 °C) and aeration rates (50–250 vvm) on BMC sulfide oxidation. A total number of 20 experimental runs with 6 centre points were carried out. The obtained results were analyzed using design expert and statistical validation indices to check the adequacy of the obtained quadratic models. The analysis of variance showed that more than 99% of the variation was explained by the models. There was a good agreement between experimental and predicted data. The optimum sulfide removal of 448.75 ppm was achieved at the temperature of 32.4 °C, initial hydrogen sulfide of 500 ppm and aeration rates of 110.06 vvm in 8 h. Therefore, the finding depicts the adequacy of the obtained model in enhancing BMC sulfide oxidation conditions. The model is further affirmed through SEM-EDXS analysis, revealing oxidized sulfide product aggregate of the micrographs coupled with elemental identification and quantitative composition.
KW - Batch mode
KW - Mixed-culture
KW - Optimization
KW - RSM
KW - Sulfide oxidation
UR - http://www.scopus.com/inward/record.url?scp=85033785568&partnerID=8YFLogxK
U2 - 10.1016/j.jksus.2017.11.001
DO - 10.1016/j.jksus.2017.11.001
M3 - Article
AN - SCOPUS:85033785568
VL - 31
SP - 836
EP - 843
JO - Journal of King Saud University - Science
JF - Journal of King Saud University - Science
SN - 1018-3647
IS - 4
ER -