Mathematical modelling of the degradation kinetics of Bacillus cereus grown on phenol

Halmi, Mohd Izuan Effendi; Ahamad, K.E. Ku; Shukor, Mohd Yunus; Wasoh, Helmi; Rachman, Abdul; Sabullah, Mohd Khalizan; Ahmad, Siti Aqlima; Syed, Mohd Arif

doi:10.54987/jebat.v2i1.138

Cited by 20 publications

(20 citation statements)

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“…In most of such studies, the Haldane model was utilized to model reduction rate in the metals mercury [17], arsenate [19] and chromate [18]. In other similar works with xenobiotics, the Luong model has been fount to be the best model for several cases such as the degradation kinetics of Bacillus cereus grown on phenol [53], modelling of tributytinresistant Klebsiella sp. FIRD 2 In cadmium media [54], growth inhibition kinetics of Rhodotorula sp.…”

Section: Resultsmentioning

confidence: 99%

Modelling the Inhibition Kinetics of Molybdenum Reduction by the Molybdate-reducing Enterobacter cloacae

Yakasai

Saidu

2020

Bull Environ Sci Sust Manage

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The mathematical simulation of physical, chemical or biological data can assist a researcher in explaining the physicochemical or biological phenomenon by predicting or estimating the possible actions, to replicate a prediction or retroactivity and to schedule better experiments. Bacteria are an emerging instrument for the bioremediation of the molybdenum pollutant in the world, molybdenum reduction into insoluble molybdenum blue. In this study, the molybdenum reduction rate by the bacterium Enterobacter cloacae was studied for its inhibitory kinetics characteristics using sodium molybdate as a substrate. Modeling kinetics showed that molybdenum reduction could be explained by several models such as Monod, Haldane, Hans-Levenspiel, Luong, Teissier, Aiba and Yano with Aiba as the best model as judged using error function analysis such as bias and accuracy factors (BF and AF), root mean square error (RMSE), adjusted coefficient of determination (adjR2), and corrected Akaike Information Criterion (AICc). The calculated value for the Teissier-Edwardâ€™s constants, which are qmax, Ks, and Ki that are maximal reduction rate, half saturation constant for maximal reduction, half saturation constant for inhibition of reduction were 7.77 (95% C.I., 4.41 to 19.95) ïmole Mo-blue hr-1, 26.63 (95% C.I., 12.82 to 40.44) mM and 51.39 (95% C.I., 23.67 to 79.10) mM, respectively. The true maximal reduction rate, which occurred when the slope of the curve is zero occurs at 36 mM molybdate concentration and a corresponding value of 1.85 ïmole Mo-blue hr-1. The fitting parameters of the Monod model prove a strong bacterial resistance to higher toxic molybdenum levels, making the bacterium useful tool for metals bioremediation work.

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Section: Resultsmentioning

confidence: 99%

Modelling the Inhibition Kinetics of Molybdenum Reduction by the Molybdate-reducing Enterobacter cloacae

Yakasai

Saidu

2020

Bull Environ Sci Sust Manage

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“…Data from the works of Zainol et al [9], from figure 2a was obtained by scanning the graph processing electronically the image using Webplotdigitizer 2.5 [10]. Using the software, data from scanned images is converted into a table with commaseparated columns [11].…”

Section: Acquisition Of Datamentioning

confidence: 99%

Gelam Honey Inhibition of Bacterial Pathogen: Determination of MIC and NIC Values Using the Lambert-Pearson Model

2022

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The curative effect of honey is due to the fact that it possesses antibacterial activity, it keeps wounds moist by retaining their natural moisture, and the honey's high viscosity contributes to the formation of a protective barrier that helps to keep infections at bay. All of these properties work together to make honey an effective wound healer. In addition, the immunomodulatory action that it possesses plays a part in the process of wounds healing. Honey's antibacterial efficacy against bacterial pathogens is frequently indicated by the lowest minimum inhibitory concentration (MIC) and the non-inhibitory concentration (NIC) values. The reality that all of the MIC and NIC techniques that are now being used are just semi-quantitative in nature is the primary issue that develops as a consequence of this circumstance. Use of data-driven nonlinear regression analysis as one of the ways to determine this value is one of the methods that has the highest degree of precision out of all of the methods that may be used. Using the Lambert-Pearson modified Gompertz model, it was feasible to successfully determine the MIC and NIC of the gelam honey against different bacterial pathogen remodels. According to the Shukor's chart for MIC values, S. aureus is the pathogen most sensitive to gelam honey followed by E. coli and P. aeruginosa while the MIC value for B. cereus overlaps with P. aeruginosa indicating that more research is required to determine where B. cereus falls in terms of sensitivity. There is a good match between the data and the Lambert-Pearson model, with values for the coefficient of determination (R2) ranging from 0.94 to 0.97. Based on these findings, it appears that honey from gelam trees has the potential to inhibit the formation of bacterial infections.

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“…Data from Figure 6a from a published work [6] were digitized using the software Webplotdigitizer 2.5 [15].The accuracy of data digitized with this program has been verified [16,17]. The data were first converted to qt values and then nonlinearly regressed using the curve-fitting software CurveExpert Professional software (Version 1.6).…”

Section: Data Acquisition and Fittingmentioning

confidence: 99%

Isothermal Modelling of the Adsorption of Cadmium onto Activated Carbon from Tridax procumbens

et al. 2022

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There is currently no feasible method of recycling Cd compounds, despite the fact that Cd production, consumption, and environmental release have all skyrocketed in recent decades. This raises serious concerns about the potential dangers of Cd compounds to human health. This highlights the pressing need for cadmium pollution cleanup. Biosorption is one of several viable technologies with several advantages, including low operating costs, very efficient detoxification of toxicants at low concentrations, and a low amount of disposal materials. The biosorption of cadmium onto activated carbon from Tridax procumbens is remodeled using nonlinear regression and the optimal mode was determined by a series of error function assessments. The Freundlich model performed best in statistical tests including root-mean-square error (RMSE), adjusted coefficient of determination (adjR2), bias factor (BF), accuracy factor (AF), and corrected Akaike Information Criterion (AICc). This is in contrast to the published work using a linearized form where the Langmuir model best represents the biosorption. The calculated Freundlich parameters kF value using nonlinear regression was 1.501 (1/g) (95% confidence interval from 1.223 to 1.778) and nF value of 4.943 (95% C.I. from 3.492 to 6.393). Confidence intervals for the uncertainty range can be calculated using nonlinear modeling and then used for model comparison and discriminant analysis.

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Mathematical modelling of the degradation kinetics of Bacillus cereus grown on phenol

Cited by 20 publications

References 0 publications

Modelling the Inhibition Kinetics of Molybdenum Reduction by the Molybdate-reducing Enterobacter cloacae

Modelling the Inhibition Kinetics of Molybdenum Reduction by the Molybdate-reducing Enterobacter cloacae

Gelam Honey Inhibition of Bacterial Pathogen: Determination of MIC and NIC Values Using the Lambert-Pearson Model

Isothermal Modelling of the Adsorption of Cadmium onto Activated Carbon from Tridax procumbens

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