Mathematical Modelling of the Growth of Klebsiella pneumoniae on 2- methylquinoline
DOI:
https://doi.org/10.54987/bstr.v3i1.247Keywords:
Modelling, Growth rate, Klebsiella penumoniae, 2-methylquinoline, Huang model,Abstract
Quinolines compounds are toxic pollutants. Their biodegradation by microbes represents a tool for bioremediation. The growth of Klebsiella penumoniae on 2-methylquinoline shows typical sigmoidal bacterial growth curves. Since there exists a variety of models for describing the growth profile of microorganism such as logistic, Gompertz, Richards, Schnute, Baranyi- Roberts, Von Bertalanffy, Buchanan three-phase and more recently Huang models, the growth curves exhibit under such conditions would be an excellent study for finding the best model. The Huang model was chosen as the best model based on statistical tests such as root-meansquare error (RMSE), adjusted coefficient of determination (R2), bias factor (BF), accuracy factor (AF) and corrected AICc (Akaike Information Criterion). Novel constants obtained from the modelling exercise would be used for further secondary modelling.
Downloads
Published
Issue
Section
License
Authors who publish with this journal agree to the following terms:
- 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.
- 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.
- 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).