Valorization of Sugarcane Bagasse for Polyhydroxybutyrate (PHB) Production by Bacillus subtilis SMI3: Process Optimization via Response Surface Methodology and Structural Characterization

Authors

  • Saadatu Ismail Mukhtar Department of Microbiology, Faculty of Basic Life Sciences, Bayero University, Kano, Nigeria , Department of Microbiology, Faculty of Life Sciences, Federal University, Dutse, Jigawa, Nigeria Author
  • Aminu Bukar Department of Microbiology, Faculty of Life Sciences, Bayero University, Kano, Nigeria Author
  • Magashi, A. M. Department of Microbiology, Faculty of Life Sciences, Bayero University, Kano, Nigeria Author
  • Sani Yahaya Department of Microbiology, Faculty of Life Sciences, Bayero University, Kano, Nigeria Author
  • Muhammed Yahuza Gimba Department of Biochemistry, Faculty of Basic Medical Sciences, Bayero University, Kano, Nigeria Author
  • Zainab Salisu Nainna Department of Microbiology, Faculty of Life Sciences, Federal University Kashere, Gombe, Nigeria Author
  • Nafisa Baita Department of Microbiology, Faculty of Life Sciences, Bayero University, Kano, Nigeria Author

DOI:

https://doi.org/10.47430/ujmr.26111.004

Keywords:

Bacillus subtilis, Sugarcane bagasse, Polyhydroxyalkanoates, Response Surface Methodology, Central Composite Design, Bioprocess optimization

Abstract

The global transition toward a sustainable circular bioeconomy is heavily dependent on the efficient conversion of lignocellulosic biomass into high-value bioproducts.  This research investigated the potential of sugarcane bagasse hydrolysate as a cost-effective carbon feedstock for the biosynthesis of polyhydroxyalkanoates using a resilient Bacillus subtilis strain SMI3.  Optimization of fermentation parameters was conducted using both One-Factor-At-a-Time (OFAT) and Response Surface Methodology (RSM) based on Central Composite Design (CCD).  The polymers were characterized by Fourier-transform infrared spectroscopy (FTIR).  Initial parametric screening via a one-factor-at-a-time approach revealed that the maximum polymer accumulation occurred at an optimal temperature of 35°C, pH of 7.5, and substrate concentration of 3 g/L at 96h of incubation, beyond which significant substrate inhibition was observed.  The RSM optimization process successfully enhanced the polymer titer, achieving a maximum experimental yield of 562.05 mg/L at an optimized incubation time of 96 hours and a 3.0 McFarland inoculum standard.  Statistical analysis via ANOVA confirmed the high significance of the quadratic regression model (p-value = 0.0105) and a robust correlation coefficient (R2 = 0.7669).  Diagnostic metrics, including an Adequate Precision value of 7.466 and a non-significant Lack of Fit (p = 0.2803), validated the model reliability in predicting metabolic outcomes within the design space.  Notably, inoculum density emerged as the most influential linear contributor (p = 0.0002), while significant interactive effects were observed between substrate concentration and pH, as well as between incubation time and pH, underscoring the necessity of precise nutritional calibration.  Kinetic profiling showed that polymer synthesis peaked during the late exponential phase, followed by a statistically significant decline toward the 120-hour mark.  This reduction indicates the activation of intracellular depolymerases, which mobilize the stored polyester as an endogenous energy source once exogenous nutrients become limiting.  Collectively, these results demonstrate that Bacillus subtilis SMI3 possesses the metabolic resilience required to navigate the inhibitory landscape of sugarcane bagasse.  By successfully integrating statistical optimization with lignocellulosic valorization, this study provides a viable framework for the sustainable production of eco-friendly bioplastics.

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Published

2026-05-05

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How to Cite

Mukhtar, S. I., Bukar, A., Magashi, A. M., Yahaya, S., Gimba, M. Y., Nainna, Z. S., & Baita, N. (2026). Valorization of Sugarcane Bagasse for Polyhydroxybutyrate (PHB) Production by Bacillus subtilis SMI3: Process Optimization via Response Surface Methodology and Structural Characterization. UMYU Journal of Microbiology Research (UJMR), 11(1), 33-45. https://doi.org/10.47430/ujmr.26111.004

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