Response Surface Method for the Optimization of Bacillus sp. strain ZEID-14 Growth on Acrylamide as a Nitrogen Source

Authors

  • Garba Uba Department of Science Laboratory Technology, College of Science and Technology, Jigawa State Polytechnic, Dutse. P.M.B 7040, Nigeria.
  • Motharasan Manogaran Malaysia Genome and Vaccine Institute (MGVI) National Institute of Biotechnolgy Malaysia (NIBM) Jalan Bangi, 43000 Kajang, Selangor, Malaysia.
  • Ibrahim Yusuf Tafinta Plant Science Department, Faculty of Life and Chemical Sciences, Usmanu Danfodiyo University, Sokoto, PMB 2346, Nigeria.
  • Isam M. Abu Zeid Department of Biological Sciences, Faculty of Science, King Abdulaziz University, P.O. Box 80203, Jeddah 21589, Saudi Arabia.
  • Mohd Yunus Shukor Department of Biochemistry, Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia, UPM 43400 Serdang, Selangor, Malaysia.
  • Nur Adeela Yasid Department of Biochemistry, Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia, UPM 43400 Serdang, Selangor, Malaysia.

DOI:

https://doi.org/10.54987/ajpb.v4i2.784

Keywords:

Acrylamide, Bacillus sp., Bioremediation, Box-Behnken, RSM

Abstract

Acrylamide contamination in food is mainly from raw material of plant-based origin.  Acrylamide biodegradation by soil bacteria is an important remediation process. Bacillus sp. strain ZEID-14, which had previously been identified and exhibited the ability to break down amides, was examined further to determine the crucial parameters that contribute to the optimum growth of acrylamide. The Box-Behnken design was used to optimize the previously identified three significant components (pH, incubation time and acrylamide concentration). The model was supported by the diagnostic plots including the half-normal, Cook's distance, leverage vs runs,  residual vs runs, Box-Cox, DFFITS, and DFBETAS. Predicted optimal conditions were determined using "Numerical Optimisation" toolbox of the Design Expert software. Two optimal conditions were tested. The model predicted a maximum growth of 10.686 (95% C.I., 10.458 to 10.913) which was verified through experimental results with a growth of 11.257 (95% C.I., 11.051 to 11.462) with the actual results being near to the predicted values but was significantly higher than the predicted values. The second numerical optimization gave a solution with a predicted maximum growth of 9.305 Log CFU/mL (95% C.I. from 9.011 to 9.614) which was verified through experimental results with a growth of 9.978 Log CFU/mL (95% C.I. from 9.830 to 10.126) with the actual results were also significantly higher than the predicted values. The RSM exercise gave far better growth on acrylamide than OFAT with a higher response of about 2 log CFU/mL unit indicating the utility of RSM over OFAT in the optimization of growth of this bacterium on acrylamide.

References

Mottram, DS, Wedzicha BL, Dobson AT. Acrylamide is formed in the Maillard reaction. Nature. 2002;419:448-9.

Zamora R, Delgado RM, Hidalgo FJ. Strecker aldehydes and ?-keto acids, produced by carbonyl-amine reactions, contribute to the formation of acrylamide. Food Chem. 2011;128(2):465-70.

Shukor MY, Gusmanizar N, Azmi NA, Hamid M, Ramli J, Shamaan NA, et al. Isolation and characterization of an acrylamide-degrading Bacillus cereus. J Enviromental Biol. 2009;30(1):57-64.

Spencer P, Schaumburg HH. Nervous system degeneration produced by acrylamide monomer. Environ Health Perspect. 1975 Jun 1;11:129-33.

Sega GA, Valdivia Alcota RP, Tancongco CP, Brimer PA. Acrylamide binding to the DNA and protamine of spermiogenic stages in the mouse and its relationship to genetic damage. Mutat Res Mutagen Relat Subj. 1989 Aug 1;216(4):221-30.

Tyl RW, Friedman MA. Effects of acrylamide on rodent reproductive performance. Reprod Toxicol. 2003 Jan 1;17(1):1-13.

Yang HJ, Lee SH, Jin Y, Choi JH, Han CH, Lee MH. Genotoxicity and toxicological effects of acrylamide on reproductive system in male rats. J Vet Sci. 2005 Jun;6(2):103-9.

Backer LC, Dearfield KL, Erexson GL, Campbell JA, Westbrook?Collins B, Allen JW. The effects of acrylamide on mouse germ-line and somatic cell chromosomes. Environ Mol Mutagen. 1989;13(3):218-26.

Hagmar L, Törnqvist M, Nordander C, Rosén I, Bruze M, Kautiainen A, et al. Health effects of occupational exposure to acrylamide using hemoglobin adducts as biomarkers of internal dose. Scand J Work Environ Health. 2001;27(4):219-26.

Igisu H, Goto I, Kawamura Y, Kato M, Izumi K. Acrylamide encephaloneuropathy due to well water pollution. J Neurol Neurosurg Psychiatry. 1975;38(6):581-4.

Adewale OO, Brimson JM, Odunola OA, Gbadegesin MA, Owumi SE, Isidoro C, et al. The Potential for Plant Derivatives against Acrylamide Neurotoxicity. Phytother Res PTR. 2015 Jul;29(7):978-85.

Kahkeshani N, Saeidnia S, Abdollahi M. Role of antioxidants and phytochemicals on acrylamide mitigation from food and reducing its toxicity. J Food Sci Technol. 2015 Jun;52(6):3169-86.

Eikmann T, Herr C. How dangerous is actually acrylamide exposure for the population. Umweltmed Forsch Prax. 2002;7(6):307-8.

Pruser KN, Flynn NE. Acrylamide in health and disease. Front Biosci - Sch. 2011;3 S(1):41-51.

Pennisi M, Malaguarnera G, Puglisi V, Vinciguerra L, Vacante M, Malaguarnera M. Neurotoxicity of acrylamide in exposed workers. Int J Environ Res Public Health. 2013;10(9):3843-54.

Rahim MBH, Syed MA, Shukor MY. Isolation and characterization of an acrylamide-degrading yeast Rhodotorula sp . strain MBH23 KCTC 11960BP. J Basic Microbiol. 2012;52(5):573-81.

Wakaizumi M, Yamamoto H, Fujimoto N, Ozeki K. Acrylamide degradation by filamentous fungi used in food and beverage industries. J Biosci Bioeng. 2009;108(5):391-3.

Wampler DA, Ensign SA. Photoheterotrophic metabolism of acrylamide by a newly isolated strain of Rhodopseudomonas palustris. Appl Environ Microbiol. 2005;71(10):5850-7.

Buranasilp K, Charoenpanich J. Biodegradation of acrylamide by Enterobacter aerogenes isolated from wastewater in Thailand. J Environ Sci. 2011;23(3):396-403.

Charoenpanich J, Tani A. Proteome analysis of acrylamide-induced proteins in a novel acrylamide-degrader Enterobacter aerogenes by 2D electrophoresis and MALDI-TOF-MS. Chiang Mai Univ J Nat Sci. 2014;13(1):11-22.

Gusmanizar N, Shukor Y, Ramli J, Syed MA. Isolation and characterization of an acrylamide-degrading Burkholderia sp. strain DR.Y27. J Ris Kim. 2015 Feb 11;2(1):34.

Yu F, Fu R, Xie Y, Chen W. Isolation and characterization of polyacrylamide-degrading bacteria from dewatered sludge. Int J Environ Res Public Health. 2015;12(4):4214-30.

Bedade DK, Singhal RS. Biodegradation of acrylamide by a novel isolate, Cupriavidus oxalaticus ICTDB921: Identification and characterization of the acrylamidase produced. Bioresour Technol. 2018 Aug 1;261:122-32.

Aisami A, Gusmanizar N. Characterization of an acrylamide-degrading bacterium isolated from hydrocarbon sludge. Bioremediation Sci Technol Res. 2019 Dec 28;7(2):15-9.

Othman AR, Rahim MBHA. Modelling the Growth Inhibition Kinetics of Rhodotorula sp. strain MBH23 (KCTC 11960BP) on Acrylamide. Bioremediation Sci Technol Res. 2019 Dec 28;7(2):20-5.

Rusnam, Gusmanizar N. An Acrylamide-degrading Bacterial Consortium Isolated from Volcanic Soil. J Biochem Microbiol Biotechnol. 2021 Dec 31;9(2):19-24.

Rusnam, Gusmanizar N. Characterization of An Acrylamide-degrading Bacterium Isolated from Volcanic Soil. J Environ Bioremediation Toxicol. 2022 Aug 5;5(1):32-7.

Khuri IA, Mukhopadhyay S. Response surface methodology. Adv Rev WIREs Comput Stat John Wiley Sons Inc. 2010;2:128-49.

Karamba KI, Ahmad SA, Zulkharnain A, Syed MA, Khalil KA, Shamaan NA, et al. Optimisation of biodegradation conditions for cyanide removal by Serratia marcescens strain AQ07 using one-factor-at-a-time technique and response surface methodology. Rendiconti Lincei. 2016 Sep;27(3):533-45.

Annadurai G, Ling LY, Lee J fwu. Statistical optimization of medium components and growth conditions by response surface methodology to enhance phenol degradation by Pseudomonas putida. J Hazard Mater. 2008;151:171-8.

Ibrahim S, Shukor MY, Khalil KA, Halmi MIE, Syed MA, Ahmad SA. Application of response surface methodology for optimising caffeine-degrading parameters by Leifsonia sp. strain SIU. J Environ Biol. 2015 Sep;36(5):1215-21.

Ahmad WA, Zakaria ZA, Zakaria Z, Surif S. Hexavalent Chromium Reduction at Different Growth Phases of Acinetobacter haemolyticus. 2009;26(7):1275-8.

Anderson MJ, Whitcomb PJ. RSM simplified: optimizing processes using response surface methods for design of experiments. 2nd ed. Boca Raton, FL, USA.: Productivity Press; 2016.

Halmi MIE bin, Abdullah SRS, Wasoh H, Johari WLW, Ali MS bin M, Shaharuddin NA, et al. Optimization and maximization of hexavalent molybdenum reduction to Mo-blue by Serratia sp. strain MIE2 using response surface methodology. Rendiconti Lincei. 2016 Dec 1;27(4):697-709.

Yakasai MH. A thesis submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy in the Department of Biochemistry, Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia, Malaysia. Universiti Putra Malaysia; 2017.

Adnan M, Abu Zeid I, Ahmad SA, Effendi Halmi M, Abdullah S, Shukor M. A Molybdenum-reducing Bacillus sp. Strain Zeid 14 in Soils from Sudan that Could Grow on Amides and Acetonitrile. Malays J Soil Sci. 2016 Jan 1;20:111-34.

Box GEP, Behnken DW. Some New Three Level Designs for the Study of Quantitative Variables. Technometrics. 1960 Nov 1;2(4):455-75.

Whitcomb PJ, Anderson MJ. RSM Simplified: Optimizing Processes Using Response Surface Methods for Design of Experiments. 2nd ed. New York, New York: Productivity Press; 2016. 304 p.

Rodrigues RCLB, Kenealy WR, Dietrich D, Jeffries TW. Response surface methodology (RSM) to evaluate moisture effects on corn stover in recovering xylose by DEO hydrolysis. Bioresour Technol. 2012;108:134-9.

Schenker N, Gentleman JF. On judging the significance of differences by examining the overlap between confidence intervals. Am Stat. 2001;55(3):182-6.

Kumar N, Sinha S, Mehrotra T, Singh R, Tandon S, Thakur IS. Biodecolorization of azo dye Acid Black 24 by Bacillus pseudomycoides: Process optimization using Box Behnken design model and toxicity assessment. Bioresour Technol Rep. 2019 Dec 1;8:100311.

Chelladurai SJS, K. M, Ray AP, Upadhyaya M, Narasimharaj V, S. G. Optimization of process parameters using response surface methodology: A review. Mater Today Proc [Internet]. 2020 Jul 24 [cited 2020 Dec 21]; Available from: http://www.sciencedirect.com/science/article/pii/S2214785320349440

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Published

31.12.2022

How to Cite

Uba, G., Manogaran, M., Tafinta, I. Y., Zeid, I. M. A., Shukor, M. Y., & Yasid, N. A. (2022). Response Surface Method for the Optimization of Bacillus sp. strain ZEID-14 Growth on Acrylamide as a Nitrogen Source. Asian Journal of Plant Biology, 4(2), 16–27. https://doi.org/10.54987/ajpb.v4i2.784

Issue

Vol. 4 No. 2 (2022)

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Articles

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