Modelling the Effect of mercury on the Growth Rate of an SDS-degrading Pseudomonas sp. strain Maninjau1

Authors

  • . Rusnam Department of Agricultural Engineering, Faculty of Agricultural Technology, Andalas University, Padang, 25163, Indonesia.
  • S. Syafrawati Public Health Sciences Study Program, Faculty of Public Health, Andalas University, Padang, 25163, Indonesia
  • Mohd Fadhil Rahman Public Health Sciences Study Program, Faculty of Public Health, Andalas University, Padang, 25163, Indonesia
  • Mohd Ezuan Khayat Department of Biochemistry, Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, D.E, Malaysia.
  • Fachri Ibrahim Nasution Department of Agricultural Engineering, Faculty of Agricultural Technology, Andalas University, Padang, 25163, Indonesia.
  • Ahmad Razi Othman Department of Chemical Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia.

DOI:

https://doi.org/10.54987/jemat.v11i2.893

Keywords:

SDS-degrading bacterium, Pseudomonas sp., Mercury, Growth rate inhibition, Shukor model

Abstract

The SDS-degrading bacterium Pseudomonas sp. strain Maninjau1 experienced significant inhibition by mercury. Observations of bacterial growth at varying mercury concentrations revealed a sigmoidal pattern, with lag periods extending from 7 to 12 hours. Increasing mercury concentrations progressively impeded growth, with a concentration of 1.0 mg/L nearly halting bacterial activity. To analyze these effects, the modified Gompertz model was employed to determine growth rates across different mercury concentrations. These rates were then subjected to several models, including the modified Han-Levenspiel, Wang, Liu, Shukor, modified Andrews, and Amor models. Among these, the Amor model failed to appropriately fit the growth curves. Statistical analysis indicated that the Shukor model performed the best, evidenced by the lowest values for Root Mean Square Error (RMSE) and Akaike’s Information Criterion corrected (AICc), the highest adjusted correlation coefficient (adR2), and values of Accuracy Factor (AF) and Bias Factor (BF) closest to unity. The parameters obtained from the Shukor model, which are mmax (h-1) and Sm (mg L-1) and n which represent maximum growth rate, critical heavy metal ion concentration and empirical constant values were 0.187, 1.126 and 2.406, respectively. The Shukor model allows for the prediction of the critical heavy metals concentration which can completely inhibited bacterial growth. This robust modeling approach underscores the Shukor model's suitability for predicting the impact of mercury on the growth dynamics of Pseudomonas sp. strain Maninjau1 under toxic stress conditions.

References

Liwarska-Bizukojc E, Miksch K, Malachowska-Jutsz A, Kalka J. Acute toxicity and genotoxicity of five selected anionic and nonionic surfactants. Chemosphere. 2005 Mar;58(9):1249-53.

Chukwu LO, Odunzeh CC. Relative toxicity of spent lubricant oil and detergent against benthic macro-invertebrates of a west African estuarine lagoon. J Environ Biol. 2006 Jul;27(3):479-84.

Kumar M, Trivedi SP, Misra A, Sharma S. Histopathological changes in testis of the freshwater fish, Heteropneustes fossilis (Bloch) exposed to linear alkyl benzene sulphonate (LAS). J Environ Biol. 2007 Jul;28(3):679-84.

Pettersson A, Adamsson M, Dave G. Toxicity and detoxification of Swedish detergents and softener products. Chemosphere. 2000;41(10):1611-20.

Cserháti T, Forgács E, Oros G. Biological activity and environmental impact of anionic surfactants. Environ Int. 2002;28(5):337-48.

Rosety M, Ribelles A, Rosety-Rodriguez M, Carrasco C, Ordonez FJ, Rosety JM, et al. Morpho-histochemical study of the biological effects of sodium dodecyl sulphate on the digestive gland of the Portuguese oyster. Histol Histopathol. 2000;15(4):1137-43.

Badmus SO, Amusa HK, Oyehan TA, Saleh TA. Environmental risks and toxicity of surfactants: overview of analysis, assessment, and remediation techniques. Environ Sci Pollut Res Int. 2021;28(44):62085-104.

Johnson P, Trybala A, Starov V, Pinfield VJ. Effect of synthetic surfactants on the environment and the potential for substitution by biosurfactants. Adv Colloid Interface Sci. 2021 Feb 1;288:102340.

Cserháti T, Forgács E, Oros G. Biological activity and environmental impact of anionic surfactants. Environ Int. 2002;28(5):337-48.

Sandbacka M, Christianson I, Isomaa B. The acute toxicity of surfactants on fish cells, Daphnia magna and fish-A comparative study. Toxicol In Vitro. 2000 Feb 1;14(1):61-8.

Mondal B, Adak A, Datta P. Degradation of anionic surfactant in municipal wastewater by UV-H2O2: Process optimization using response surface methodology. J Photochem Photobiol Chem. 2019 Feb 1;375.

Wang J, Wan W. Kinetic models for fermentative hydrogen production: a review. Int J Hydrog Energy. 2009;34(8):3313-23.

Wang Y, Zhao QB, Mu Y, Yu HQ, Harada H, Li YY. Biohydrogen production with mixed anaerobic cultures in the presence of high-concentration acetate. Int J Hydrog Energy. 2008;33(4):1164-71.

Liu X, Zhu Y, Yang ST. Construction and characterization of ack deleted mutant of Clostridium tyrobutyricum for enhanced butyric acid and hydrogen production. Biotechnol Prog. 2006;22(5):1265-75.

Andrews JF. A mathematical model for the continuous culture of microorganisms utilizing inhibitory substrates. Biotechnol Bioeng. 1968 Nov 1;10(6):707-23.

Amor L, Kennes C, Veiga MC. Kinetics of inhibition in the biodegradation of monoaromatic hydrocarbons in presence of heavy metals. Bioresour Technol. 2001 Jun 1;78(2):181-5.

Abubakar A. Kinetics Modelling of Tributyltin Toxicity on The Growth of Bacillus subtilis. J Biochem Microbiol Biotechnol. 2021 Jul 30;9(1):19-24.

Manogaran M, Othman AR, Shukor MY, Halmi MIE. Modelling the Effect of Heavy Metal on the Growth Rate of an SDS-degrading Pseudomonas sp. strain DRY15 from Antarctic soil. Bioremediation Sci Technol Res. 2019 Jul 31;7(1):41-5.

Gopinath KP, Kathiravan MN, Srinivasan R, Sankaranarayanan S. Evaluation and elimination of inhibitory effects of salts and heavy metal ions on biodegradation of Congo red by Pseudomonas sp. mutant. Bioresour Technol. 2011;102(4):3687-93.

Rahman MF, Rusnam M, Gusmanizar N, Masdor NA, Lee CH, Shukor MS, et al. Molybdate-reducing and SDS-degrading Enterobacter sp. strain Neni-13. Nova Biotechnol Chim. 2016;15(2):166-81.

Rusnam M, Gusmanizar N. Characterization of the growth on SDS by Enterobacter sp. strain Neni-13. J Biochem Microbiol Biotechnol. 2017 Dec 31;5(2):28-32.

Masdor N, Abd Shukor MS, Khan A, Bin Halmi MIE, Abdullah SRS, Shamaan NA, et al. Isolation and characterization of a molybdenum-reducing and SDS- degrading Klebsiella oxytoca strain Aft-7 and its bioremediation application in the environment. Biodiversitas. 2015;16(2):238-46.

Shukor MS, Shukor MY. A microplate format for characterizing the growth of molybdenum-reducing bacteria. J Environ Microbiol Toxicol. 2014;2(2):42-4.

Christen P, Vega A, Casalot L, Simon G, Auria R. Kinetics of aerobic phenol biodegradation by the acidophilic and hyperthermophilic archaeon Sulfolobus solfataricus 98/2. Biochem Eng J. 2012;62:56-61.

Basak B, Bhunia B, Dutta S, Chakraborty S, Dey A. Kinetics of phenol biodegradation at high concentration by a metabolically versatile isolated yeast Candida tropicalis PHB5. Environ Sci Pollut Res. 2014;21(2):1444-54.

Halmi MIE, Shukor MS, Johari WLW, Shukor MY. Mathematical modeling of the growth kinetics of Bacillus sp. on tannery effluent containing chromate. J Environ Bioremediation Toxicol. 2014;2(1):6-10.

Halmi MIE, Shukor MS, Johari WLW, Shukor MY. Evaluation of several mathematical models for fitting the growth of the algae Dunaliella tertiolecta. Asian J Plant Biol. 2014;2(1):1-6.

Feng JR, Ni HG. Effects of heavy metals and metalloids on the biodegradation of organic contaminants. Environ Res. 2024 Apr 1;246:118069.

Jackson WA, Pardue JH. Assessment of metal inhibition of reductive dechlorination of hexachlorobenzene at a superfund site. Environ Toxicol Chem. 1998;17(8):1441-6.

Sadler WR, Trudinger PA. The inhibition of microorganisms by heavy metals. Miner Deposita. 1967 Nov 1;2(3):158-68.

Ismail HY, Ijah UJJ, Riskuwa ML, Allamin IA, Isah MA. Assessment of phytoremediation potentials of legumes in spent engine oil contaminated soil. Eur J Environ Saf Sci. 2014;2(2):59-64.

Gopinath KP, Kathiravan MN, Srinivasan R, Sankaranarayanan S. Evaluation and elimination of inhibitory effects of salts and heavy metal ions on biodegradation of Congo red by Pseudomonas sp. mutant. Bioresour Technol. 2011 Feb 1;102(4):3687-93.

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Published

31.12.2023

How to Cite

Rusnam, ., Syafrawati, S., Rahman, M. F., Khayat, M. E., Nasution, F. I., & Othman, A. R. (2023). Modelling the Effect of mercury on the Growth Rate of an SDS-degrading Pseudomonas sp. strain Maninjau1. Journal of Environmental Microbiology and Toxicology, 11(2), 45–49. https://doi.org/10.54987/jemat.v11i2.893

Issue

Vol. 11 No. 2 (2023)

Section

Articles

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