Kinetic Modeling of the Sulfide Pollutant Removal in the Activated Sludge Bioreactor in the Presence of Silica Nanoparticles and Graphene Oxide

Document Type : Research Paper

Authors

1 Assist. Prof., Dept. of Chemical Engineering, Faculty of Chemical and Materials Engineering, Shahrood University of Technology, Shahrood, Iran

2 BSc., Dept. of Chemical Engineering, Faculty of Chemical and Materials Engineering, Shahrood University of Technology, Shahrood, Iran

Abstract

Nowadays, the presence of sulfurous compounds in aqueous media has become one of the most serious risks due to their high toxicity. Therefore, selecting and assessing a suitable and efficient method for decreasing or eliminating these pollutants is a vital issue. In this study, a comprehensive comparative analysis among various specific growth kinetic models of biomass were carried out to investigate the biological removal of sulfide pollutant in different bioreactors. For this aim, three types of bioreactor systems, including activated sludge without nanoparticles, in the presence of silica nanoparticles, and graphene oxide nanosheets were employed. Batch process experiments were performed to investigate the effect of different concentration of sulfide pollutant on the specific growth rates of biomass and also to study the growth of biomass during 14 days for all three bioreactor systems. Moreover, different biokinetic models, such as Monod, Haldane, Andrews and Noack, Yano and Koga and Webb were compared using obtained experimental data in a batch activated sludge process. According to the results, the maximum specific growth rates of EM, SS and GO bioreactor systems were mmax= 0.1871, 0.667, and 0.1277/ day-1, respectively. The Yano and Koga kinetic model had better fit with the experimental specific growth rate data than the other models thorough sulfide concentrations ranges with the correlation coefficients (R2) of 0.954 0.965 and 0.941 for EM, SS and GO bioreactor systems, respectively. In addition, the analysis of different error functions including, SSE, ARE, HYBRID and MPSD, showed that the bioreactor containing SiO2 nanoparticles has the best performance towards the other systems. Development and using these kinetic models and predictive methods can be considerably useful and efficient due to their analyzability and investigation of different operational parameters in the biological process of pollutants removal.

Keywords

References

Akdemir, Ü. Ö. 2020a. Determination of the effect of multi-walled carbon nanotube on the treatment efficiency and design parameters in the activated sludge systems. Desalination and Water Treatment, 192, 166-175.
Akdemir, Ü. Ö. 2020b. Removal of heavy metals from mixed domestic and industrial wastewater by activated sludge process using MWCNT. International Journal of Global Warming, 22, 315-329.
Alizad Oghyanous, F., Etemadi, H. & Yegani, R. 2020. Foaming control and determination of biokinetic coefficients in membrane bioreactor system under various organic loading rate and sludge retention time. Biochemical Engineering Journal, 157, 107491.
Altaş, L. & Büyükgüngör, H. 2008. Sulfide removal in petroleum refinery wastewater by chemical precipitation. Journal of Hazardous Materials, 153, 462-469.
Chen, C., Wang, A., Ren, N., Lee, D. J. & Lai, J. Y. 2009. High-rate denitrifying sulfide removal process in expanded granular sludge bed reactor. Bioresource Technology, 100, 2316-2319.
Der Yang, R. & Humphrey, A. E. 1975. Dynamic and steady state studies of phenol biodegradation in pure and mixed cultures. Biotechnology and Bioengineering, 17, 1211-1235.
Dey, S. & Mukherjee, S. 2010. Performance and kinetic evaluation of phenol biodegradation by mixed microbial culture in a batch reactor. International Journal of Water Resources and Environmental Engineering, 3, 40-49.
Dutta, K., Venkata Dasu, V., Mahanty, B. & Anand Prabhu, A. 2015. Substrate inhibition growth kinetics for cutinase producing Pseudomonas cepacia using tomato-peel extracted cutin. Chemical and Biochemical Engineering Quarterly, 29, 437-445.
Dutta, P. K., Rabaey, K., Yuan, Z. & Keller, J. 2008. Spontaneous electrochemical removal of aqueous sulfide. Water Research, 42, 4965-4975.
Esmaeili-Faraj, S. H., Esfahany, M. N. & Darvanjooghi, M. H. K. 2019. Application of water based nanofluids in bioscrubber for improvement of biogas sweetening in a pilot scale. Chemical Engineering and Processing-Process Intensification, 143, 107603.
Esmaeili-Faraj, S. H. & Nasr Esfahany, M. 2017. Influence of SiO2 and graphene oxide nanoparticles on efficiency of biological removal process. Environmental Technology, 38, 2763-2774.
Esmaeili Faraj, S., Esfahany, M. N., Kadivar, M. & Zilouei, H. 2012. Vinyl chloride removal from an air stream by biotrickling filter. Journal of Environmental Science and Health, Part A, 47, 2263-2269.
Gharibzahedi, S. M. T., Razavi, S. H. & Mousavi, M. 2013. Kinetic analysis and mathematical modeling of cell growth and canthaxanthin biosynthesis by Dietzia natronolimnaea HS-1 on waste molasses hydrolysate. RSC Advances, 3, 23495-23502.
Kong, J. D. 2017. Modeling microbial dynamics: effects on environmental and human health. Ph.D Thesis, Department of Mathematical and Statistical Sciences University of Alberta, Alberta, Canada.
Lyn, T. L. & Taylor, J. S. 1992. Assessing sulfur turbidity formation following chlorination of hydrogen sulfide in groundwater. Journal‐American Water Works Association, 84, 103-112.
Monod, J. 1949. The growth of bacterial cultures. Annual Review of Microbiology, 3, 371-394.
Muloiwa, M., Nyende-Byakika, S. & Dinka, M. 2020. Comparison of unstructured kinetic bacterial growth models. South African Journal of Chemical Engineering, 33, 141-150.
Padervand, M. 2021. Reusable porous Na (SiAl) O6. xH2O/NiFe2O4 structure for selective removal of heavy metals from waste waters. Google Patents.
Padervand, M., Ghasemi, S., Hajiahmadi, S. & Wang, C. 2021a. K4Nb6O17/Fe3N/α-Fe2O3/C3N4 as an enhanced visible light-driven quaternary photocatalyst for acetamiprid photodegradation, CO2 reduction, and cancer cells treatment. Applied Surface Science, 544, 148939.
Padervand, M., Heidarpour, H. & Bargahi, A. 2020a. A mechanistic study and in-vivo toxicity bioassay on acetamiprid photodegradation over the zeolite supported cerium-based photocatalyst. Journal of Photochemistry and Photobiology A: Chemistry, 395, 112526.
Padervand, M., Heidarpour, H., Goshadehzehn, M. & Hajiahmadi, S. 2021b. Photocatalytic degradation of
3-methyl-4-nitrophenol over Ag/AgCl-decorated/[MOYI]-coated/ZnO nanostructures: material characterization, photocatalytic performance and in-vivo toxicity assessment of the photoproducts. Environmental Technology and Innovation, 21, 101212.
Padervand, M., Lichtfouse, E., Robert, D. & Wang, C. 2020b. Removal of microplastics from the environment, a review. Environmental Chemistry Letters, 18, 807-828.
Panigrahy, N., Barik, M. & Sahoo, N. K. 2020. Kinetics of phenol biodegradation by an indigenous pseudomonas citronellolis NS1 isolated from coke oven wastewater. Journal of Hazardous, Toxic and Radioactive Waste, 24, 04020019.
Rollemberg, S. L. D. S., Barros, A. N. D., Lira, V. N. S. A., Firmino, P. I. M. & Dos Santos, A. B. 2019. Comparison of the dynamics, biokinetics and microbial diversity between activated sludge flocs and aerobic granular sludge. Bioresource Technology, 294, 122106.
Vaiopoulou, E., Melidis, P. & Aivasidis, A. 2005. Sulfide removal in wastewater from petrochemical industries by autotrophic denitrification. Water Research, 39, 4101-4109.
Van Der Zee, F., Villaverde, S., Garcia, P. & Polanco, F. F. 2007. Sulfide removal by moderate oxygenation of anaerobic sludge environments. Bioresource Technology, 98, 518-524.
Webb, J. L. 1963. Enzyme and metabolic inhibitors. Academic Press Inc., New York, USA.
Yano, T. & Koga, S. 1969. Dynamic behavior of the chemostat subject to substrate inhibition. Biotechnology and Bioengineering, 11, 139-153.
Journal of Water and Wastewater; Ab va Fazilab ( in persian )
Volume 33, Issue 1 - Serial Number 138
May and June 2022
Pages 65-76

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