Test of randomness of residuals for the modified Gompertz model used in the fitting the growth of sludge microbes on PEG 600

Authors

  • Mohd Izuan Effendi Halmi Department of Chemical Engineering and Process, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia.
  • Mohd Shukri Shukor Snoc International Sdn Bhd, Lot 343, Jalan 7/16 Kawasan Perindustrian Nilai 7, Inland Port, 71800, Negeri Sembilan, Malaysia.
  • Noor Azlina Masdor Biotechnology Research Centre, MARDI, P. O. Box 12301, 50774 Kuala Lumpur, Malaysia
  • Nor Aripin Shamaan Biotechnology Research Centre, MARDI, P. O. Box 12301, 50774 Kuala Lumpur, Malaysia
  • Mohd Yunus Shukor Department of Biochemistry, Faculty of Biotechnology and Biomolecular Sciences, University Putra Malaysia, UPM 43400 Serdang, Selangor, Malaysia

DOI:

https://doi.org/10.54987/jemat.v3i1.240

Keywords:

Polyethylene Glycol, modified Gompertz, sludge microbes, ordinary least squares method, runs test

Abstract

Polyethylene glycols (PEGs) are employed in numerous sectors. PEGs are nephrotoxic and their biodegradation by microbes could be a potential tool for bioremediation. Numerous bacterial growth studies neglect primary modelling even though modelling exercises can reveal important parameters. Previously, we have utilized several growth models to model the growth of sludge microbes on PEG 600. We discovered that the modified Gompertz model via nonlinear regression utilizing the least square method was the best model to describe the growth curve. Nonlinear regression using the least square method normally uses the assumption that data points do not depend on each other or the value of a data point is not dependent on the value of preceding or proceeding data points or do not exhibit autocorrelation. In this work, the Durbin–Watson statistic for the presence of autocorrelation in the growth model was carried out.

Author Biography

  • Mohd Izuan Effendi Halmi, Department of Chemical Engineering and Process, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia.

    Department of Biochemistry

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Published

27.07.2015

Issue

Vol. 3 No. 1 (2015)

Section

Articles

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How to Cite

Test of randomness of residuals for the modified Gompertz model used in the fitting the growth of sludge microbes on PEG 600. (2015). Journal of Environmental Microbiology and Toxicology, 3(1), 9-11. https://doi.org/10.54987/jemat.v3i1.240