Primary Modeling of Microbial Growth under Toxic Conditions with the Modified Schnute Model
DOI:
https://doi.org/10.54987/bessm.v7i2.910Keywords:
Primary models, Acrylamide, Acrylamide-degrading bacterium, Modified Schnute, Pseudomonas sp.Abstract
Primary modeling of microbial growth is essential for determining key parameters such as the maximum specific growth rate (μm), which are foundational for secondary modeling. These models, including those by Monod, Haldane, Aiba, and Teissier, elucidate the impact of substrates on bacterial growth and biotransformation processes, vital for biotechnological applications like wastewater treatment and bioremediation. Experimental data showed that acrylamide from 250 to 1250 mg/L as a sole nitrogen source is toxic, slowing bacterial growth at higher concentrations resulting in an increase in lag periods ranging from 3 to 9 hours. Various primary models were tested, with the modified Schnute model providing the best fit based on statistical analysis, normality tests, and key parameters such as adjusted coefficient of determination near to unity, lowest values for RMSE and AICc values and good values of accuracy (AF) and bias factors (BF). The modified Schnute model's reliability underscores its suitability for modeling bacterial growth under toxic conditions, offering valuable insights for optimizing biotechnological processes involving bacterial adaptation and growth under stress conditions.
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