Statistical Optimization of a Trichoderma-based Enzyme Combination for Saccharification of Steam-exploded Lignocellulosic Biomass

Authors

  • Yun-Yeong Lee Department of Forest Products and Biotechnology, Kookmin University, Seoul 02707, Republic of Korea https://orcid.org/0000-0001-9934-7968
  • Seongwoo Myeong Department of Forest Products and Biotechnology, Kookmin University, Seoul 02707, Republic of Korea
  • Jeonghee Yun Department of Forest Products and Biotechnology, Kookmin University, Seoul 02707, Republic of Korea https://orcid.org/0000-0002-4681-1656

Keywords:

Enzyme cocktail, Cellulase production, Softwood saccharification, Trichoderma sp.

Abstract

This study aimed to determine the optimal enzyme combination conditions for improving the saccharification efficiency of softwood biomass (Larix kaempferi). For this purpose, cellulase derived from Trichoderma sp. KMF006 was combined with a commercial enzyme (Cellic® CTec3). Comparative hydrolysis experiments with individual enzymes showed that L. kaempferi exhibited a lower glucose yield than hardwood, suggesting the need for a complementary enzyme combination. A Plackett-Burman Design (PBD) was used to identify significant variables, including substrate concentration, enzyme loading, pH, and the KMF006 blending ratio. The significant factors were further optimized using a Box-Behnken Design (BBD). The optimal conditions were determined to be a substrate concentration of 9% (w/v), enzyme loading of 60 FPU/g-glucan, pH of 6.0, and the KMF006 blending ratio of 25.5%. The predicted maximum glucose yield under these conditions was 63.9%, representing a 21.8% increase compared to CTec3 alone and a 32.4% increase compared to KMF006 alone. These results suggest that up to 25% of the commercial enzyme dosage can be substituted with KMF006 without compromising hydrolysis performance. Overall, this study demonstrates the feasibility of an enzyme combination approach for enhancing softwood saccharification.

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Published

2025-10-15

How to Cite

Lee, Y.-Y., Myeong, S., & Yun, J. (2025). Statistical Optimization of a Trichoderma-based Enzyme Combination for Saccharification of Steam-exploded Lignocellulosic Biomass. BioResources, 20(4), 10328–10349. Retrieved from https://ojs.bioresources.com/index.php/BRJ/article/view/25112

Issue

Section

Research Article or Brief Communication