Kinetic Modeling of 2-Keto-Gluconic Acid (2KGA) Production from Rice Starch Hydrolysate Using Pseudomonas fluorescens AR4

Abstract:

Kinetic models are proposed for the 2KGA batch production from rice starch hydrolysate containing 162 g/L of glucose by Pseudomonas fluorescens AR4. The models include terms accounting for both substrate and product inhibitions. Experimental data collected from the batch fermentations were used to estimate parameters and also to validate the models proposed. The growth of Ps. fluorescens could be expressed by a Logistic model wihout incorporating inhibitions of glucose and organic acids accumulated in the culture broth. The Luedeking–Piret model was able to describe the 2KGA formation as the fermentation proceeded with a mixed-growth-associated pattern. In all cases, the model simulation matched well with the experimental observations, which made it possible to elucidate the fermentation characteristics of Ps. fluorescens AR4 during efficient 2KGA production from glucose.

• Periodical: Advanced Materials Research (Volumes 550-553)
• Pages: 1144-1150
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.550-553.1144
• Online since: July 2012
• Authors: Wen Jing Sun, Lin Yu, Si Lian Yu, Feng Jie Cui, Yan Zheng Zhou, Qiang Zhou, Lei Sun
• Keywords: 2-Keto-Gluconic Acid (2KGA), Kinetic, Modeling, Pseudomonas Fluorescens, Rice Starch Hydrolysate

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