MATHEMATICAL MODELING OF GLUCOSE YIELD FROM CASSAVA STARCH VIA ENZYMATIC HYDROLYSIS: A MICHAELIS-MENTEN KINETIC APPROACH

Authors

  • Santali Ismail
    Ibrahim Badamasi Babangida University Lapai
  • James Ibrahim Galadima
    Ibrahim Badamasi Babangida University Lapai
  • Abubakar Abdulkadir
    Ibrahim Badamasi Babangida University Lapai
  • Aisha Aliyu Yakubu
    Ibrahim Badamasi Babangida University Lapai

Keywords:

Cassava starch, Enzymatic hydrolysis, Glucose yield, Michaelis-Menten kinetics, Mathematical modeling

Abstract

Enzymatic hydrolysis of cassava starch into glucose is a critical process in biofuel and food industries, yet its efficiency is influenced by complex kinetic interactions. This study develops a mathematical model based on Michaelis-Menten kinetics to predict glucose yield, incorporating substrate inhibition, product inhibition, and dynamic substrate depletion. By analyzing the effects of enzyme concentration, initial starch concentration, and reaction time, the model provides a mechanistic understanding of the hydrolysis process. Experimental validation confirms the model’s accuracy in simulating real-world conditions. The results demonstrate optimal parameter ranges for maximizing glucose production, offering valuable insights for industrial-scale process optimization. This work bridges theoretical enzyme kinetics with practical applications, enhancing the sustainable utilization of cassava starch as a renewable feedstock.

Dimensions

REFERENCES

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Briggs, G. E., & Haldane, J. B. S. (1925). A note on the kinetics of enzyme action. Biochemical Journal, 19(2), 338-339. https://doi.org/10.1042/bj0190338

Kumar, P., &Satyanarayana, T. (2009). Microbial glucoamylases: Characteristics and applications. Critical Reviews in Biotechnology, 29(3), 225-255. https://doi.org/10.1080/07388550903136076

Olofsson, K., Palmqvist, B., &Lidén, G. (2018). Improving simultaneous saccharification and co-fermentation of pretreated wheat straw using both enzyme and substrate feeding. Biotechnology for Biofuels, 11(1), 1-14. https://doi.org/10.1186/s13068-018-1319-1

Zhang, Y., Wang, Y., Xu, S., & Li, Y. (2021). Recent advances in enzymatic conversion of cassava starch for industrial applications. Carbohydrate Polymers, 253, 117244. https://doi.org/10.1016/j.carbpol.2020.117244

Convergence of the Least Squares Fitting Algorithm

Published

31-10-2025

How to Cite

Ismail, S., Galadima, J. I., Abdulkadir, A., & Yakubu, A. A. (2025). MATHEMATICAL MODELING OF GLUCOSE YIELD FROM CASSAVA STARCH VIA ENZYMATIC HYDROLYSIS: A MICHAELIS-MENTEN KINETIC APPROACH. FUDMA JOURNAL OF SCIENCES, 9(11), 268-271. https://doi.org/10.33003/fjs-2025-0911-3833

Issue

Vol. 9 No. 11 (2025): FUDMA Journal of Sciences - Vol. 9 No. 11

Section

Research Articles
Copyright & Licensing

Copyright (c) 2025 Santali Ismail, James Ibrahim Galadima, Abubakar Abdulkadir, Aisha Aliyu Yakubu

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Ismail, S., Galadima, J. I., Abdulkadir, A., & Yakubu, A. A. (2025). MATHEMATICAL MODELING OF GLUCOSE YIELD FROM CASSAVA STARCH VIA ENZYMATIC HYDROLYSIS: A MICHAELIS-MENTEN KINETIC APPROACH. FUDMA JOURNAL OF SCIENCES, 9(11), 268-271. https://doi.org/10.33003/fjs-2025-0911-3833

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