Test for the presence of autocorrelation in 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 Faculty of Medicine and Health Sciences, Universiti Sains Islam Malaysia, 13th Floor, Menara B, Persiaran MPAJ, Jalan Pandan Utama, Pandan Indah, 55100 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.v3i1.238

Keywords:

Polyethylene Glycol, modified Gompertz, sludge microbes, ordinary least squares method, autocorrelation

Abstract

Polyethylene glycols (PEGs), are nephrotoxic, and are employed in numerous industrial sectors. Their biodegradation by microbes could be a potential tool for bioremediation. A lot of bacterial growth reports overlook primary modelling despite the fact that modelling exercises can expose important parameters. Earlier, we have employed several growth models to model the growth of sludge microbes on PEG 600. We found out that the modified Gompertz model via nonlinear regression utilizing the least square method was the most effective model to describe the growth curve. Nonlinear regression using the least square method generally utilizes 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 to check 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

Downloads

Published

27.07.2015

Issue

Vol. 3 No. 1 (2015)

Section

Articles

License

Authors who publish with this journal agree to the following terms:

  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0) that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).

How to Cite

Test for the presence of autocorrelation in 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), 6-8. https://doi.org/10.54987/jemat.v3i1.238