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Optimization of Cellulase Production by Cohnella xylanilytica RU-14 Using Statistical Methods

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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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Data Availability

All data generated or analyzed during this study are included in the manuscript. The raw datasets or readings generated during and/or analyzed during the current study but not included in the manuscript are available from the corresponding author upon reasonable request.

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Acknowledgements

The authors would like to thank the Department of Microbiology, Sikkim University, for providing the computational infrastructure and central library facilities for procuring references and plagiarism analysis (Ouriginal: Plagiarism Detection Software).

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  1. Department of Microbiology, Sikkim University, Gangtok, 737102, Sikkim, India

    Manswama Boro & Anil Kumar Verma

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  1. Manswama Boro
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MB performed experiments, analyzed data, and wrote the manuscript; AKV conceived and supervised the study.

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Correspondence to Anil Kumar Verma.

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Boro, M., Verma, A.K. Optimization of Cellulase Production by Cohnella xylanilytica RU-14 Using Statistical Methods. Appl Biochem Biotechnol 196, 2757–2770 (2024). https://doi.org/10.1007/s12010-023-04447-4

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