Evaluation of several mathematical models for 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.v3i1.237

Keywords:

growth curve, mathematical model, sludge microbes, modified Gompertz, statistical analysis

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. In this work we modelled the growth of the sludge microbes on PEG 600 based on available published work in the literature using several growth models such as modified logistic, modified Gompertz, modified Richards, modified Schnute, Baranyi-Roberts, Von Bertalanffy, Huang and the Buchanan  three-phase linear model. Statistical analysis results indicated that the modified Gompertz model was the best with highest adjusted R2, lowest RMSE and AICc values and Bias and Accuracy Factor values closest to unity. The results from this work can be used in the further optimization works of this process in the future.

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

Evaluation of several mathematical models for fitting the growth of sludge microbes on PEG 600. (2015). Journal of Environmental Microbiology and Toxicology, 3(1), 1-5. https://doi.org/10.54987/jemat.v3i1.237