September 27, 2025Journal of Tropical Biodiversity and BiotechnologyOpen Access

Optimization of Celullase Production by Molecular Identification Bacterial Isolated, PUA 18 by Using Response Simulation Modelling

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FAFeskaharny AlamsjahAndalas University DADwiky Rahmadi AswanAndalas University AAAnthoni AgustienAndalas University

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This analysis demonstrates improved cellulase production in Bacillus subtilis using Response Surface Methodology, highlighting the value of advanced optimization techniques.

Key Points

Cellulase production improved by 293% through advanced optimization techniques.
Maximum cellulase activity reached 0.574 U mL−1 at optimal conditions: 40 °C, specific nitrogen, and mineral sources.
Using Response Surface Methodology allowed for simultaneous evaluation of multiple variables for cellulase enhancement.
The findings underscore the importance of advanced statistical approaches in optimizing enzyme production for industrial applications.

Cite This Study

Alamsjah et al. (2025) studied this question.

synapsesocial.com/papers/68d7be62eebfec0fc5237a91 https://doi.org/10.22146/jtbb.18807

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Implication

This analysis demonstrates improved cellulase production in Bacillus subtilis using Response Surface Methodology, highlighting the value of advanced optimization techniques.

Optimization of Celullase Production by Molecular Identification Bacterial Isolated, PUA 18 by Using Response Simulation Modelling

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Key Points

Cite This Study

Optimization of Celullase Production by Molecular Identification Bacterial Isolated, PUA 18 by Using Response Simulation Modelling

Discussion

Member takes

Implication

Key Points

Cite This Study

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