ArticleApplied biochemistry and biotechnology2024
Optimization of Cellulase Production by Cohnella xylanilytica RU-14 Using Statistical Methods.
Article in Applied biochemistry and biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed, 17 citations in OpenAlex.
- Solid-State Fermentation of Green Coconut Husk byACS omega · 2026Article
- Response surface optimization for cellulase production from Enterococcus faecium and Stutzerimonas stutzeri isolated from Gossypium arboretum and Solanum melongena soil.Scientific reports · 2025Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
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Abstract
In this study, the cellulase activity by bacterial strain Cohnella xylanilytica RU-14 was enhanced by optimizing the medium components using statistical methods of Plackett-Burman design (PBD) and response surface methodology-central composite design (RSM-CCD). The cellulase assay was performed using NS enzyme assay method for reducing sugars. By PBD, the most significant factors (CMC, pH, and yeast extract) in an enzyme production medium that influence cellulase production by RU-14 were identified. These identified significant variables were further optimized using RSM by CCD. It was found that under optimized conditions of the medium components, the cellulase activity increased three times up to 14.5 U/mL as compared to un-optimized conditions (5.2 U/mL) of the enzyme production medium. The optimized levels of the significant factors determined by the CCD were found to be CMC, 2.3% w/v, and yeast extract, 0.75% w/v, at pH 7.5. The most adequate temperature for cellulase production by the bacterial strain was found to be 37 °C using the one-factor-at-a-time method. Thus, statistical methods to optimize medium conditions to enhance cellulase production by Cohnella xylanilytica RU-14 were found successful.
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