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Production of Blending Quality Bioethanol from Broken Rice: Optimization of Process Parameters and Kinetic Modeling

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Abstract

The enzymatic and bio-enzymatic saccharification of waste broken rice (79.8% of starch) was successfully carried out to produce a reducible sugar solution (160 g/L). Bioethanol of concentration 71.2 g/L (9.0% v/v) was prepared by fermentation of reducing sugar solution, using the commercially available waste brewer’s yeast (Saccharomyces cerevisiae). The fermentation process parameters were optimized through response surface methodology (RSM) and hybrid artificial neural network-genetic algorithm (ANN-GA) for optimizing the ethanol concentration. The hybrid ANN-GA model predicted a maximum concentration of 71.9 g/L with a deviation of only 0.97% from the experimental value (71.2 g/L). Four different kinetic models were attempted to fit the experimental time evolution of concentrations with the kinetic parameters estimated by the Levenberg–Marquardt optimization technique. The 4th order Runge–Kutta algorithm was implemented through a C program module. The accuracy of each model was checked against coefficient of determination R2, adjusted R2, the absolute mean deviation (AMD), and root mean square deviation (RMSD). The Andrew-Levenspiel kinetics produced the best performance criteria at two initial substrate concentrations of 160 and 170 g/L. Finally, the FTIR analysis of 781.2 g/L (98.5% v/v) bioethanol (concentrated by two-stage vacuum distillation followed by treatment with 3A molecular sieve) showed a favorable blending possibility with the commercial gasoline (petrol) as a green fuel.

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Acknowledgements

The authors sincerely acknowledge the computational and analytical instrumentation support received from DST-FIST, GOI by the Department of Chemical Engineering, National Institute of Technology Durgapur, India. The experimental infrastructure support was received from the North-East Technical Development Group of CSIR-CMERI, Durgapur, India.

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Authors and Affiliations

  1. Department of Chemical Engineering, National Institute of Technology, Durgapur, 713 209, India

    Payel Mondal, Anup Kumar Sadhukhan & Parthapratim Gupta

  2. Energy Research and Technology Group, CSIR-Central Mechanical Engineering Research Institute (CMERI), Durgapur, 713 209, India

    Amit Ganguly

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  1. Payel Mondal
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Contributions

Payel Mondal—investigator and performed the experiments, optimization and modeling, and paper writing.

Anup kumar Sadhukhan—conceptualization, supervision, and writing.

Amit Ganguly—supervision while carrying out the experiments.

Parthapratim Gupta—reviewing and editing the paper thoroughly.

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Correspondence to Anup Kumar Sadhukhan.

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Mondal, P., Sadhukhan, A.K., Ganguly, A. et al. Production of Blending Quality Bioethanol from Broken Rice: Optimization of Process Parameters and Kinetic Modeling. Appl Biochem Biotechnol 194, 5474–5505 (2022). https://doi.org/10.1007/s12010-022-03858-z

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