Abstract

In this work, kinetic growth models such as Luong, Yano, Teissier-Edward, Aiba, Haldane, Monod, Han and Levenspiel were used to model molybdenum blue production from Serratia sp. strain DRY5. Based on statistical analyses such as root-mean-square error (RMSE), adjusted coefficient of determination (adjR2), bias factor (BF), and accuracy factor (AF), the Monod model was chosen as the best. The calculated values for the monod constants qmax (the maximum specific substrate degradation rate (h−1), and Ks (concentration of substrate at the half maximal degradation rate (mg/L)) were found to be 3.86 (95% confidence interval of 2.29 to 5.43), and 43.41 (95% confidence interval of 12.36 to 74.46) respectively. The novel constants discovered during the modelling exercise could be used in further secondary modelling.

Highlights

  • Heavy metals are necessary for the biological processes of plants and animals, but at high quantities, they can disrupt metabolic reactions in organisms' systems

  • Based on statistical analyses such as corrected AICc (Akaike Information Criterion), bias factor (BF), adjusted coefficient of determination, and root-mean-square error (RMSE), the Monod model was the best model in modelling the growth of Serratia sp in the production of Molybdenum Blue)

  • Maximum specific growth rate and Ks (concentration of substrate at half maximal specific growth rate were obtained from the fitting exercise, with values of 3.86 (95% confidence interval of 2.29 to 5.43) and 43.41 (95% confidence interval of 12.36 to 74.46), respectively. These biologically meaningful coefficients will be effective in predicting Serratia sp. strain DRY5 growth requirements in the production of Molybdenum Blue and heavy metal will be remediated from the environment

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Summary

Introduction

Heavy metals are necessary for the biological processes of plants and animals, but at high quantities, they can disrupt metabolic reactions in organisms' systems. Its contamination levels have been measured in water and soils across the world, including Terengganu in Malaysia, Tokyo Bay, Tyrol in Austria, and the Black Sea, where molybdenum levels have reached dangerously high levels [3,5,6]. It is non-toxic to humans; it is lethal to ruminants at concentrations of many parts per million [5]. The reduction mechanism in molybdenum-reducing bacteria has been shown to involve an enzymatic reaction rather than a chemical one

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