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Application of MOGA-ANN tool for the production of cellulase and xylanase using de-oiled rice bran (DORB) for bioethanol production

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Abstract

India is the second-largest producer of paddy in the world, with an estimated annual production of 165 metric tons (MT) and about 10.8 MT of rice bran. Partially utilized agro-industrial residues, de-oiled rice bran (DORB) is an unexplored substrate for the production of industrial enzymes. The present study focused on producing and optimizing fungal cellulases and xylanase enzymes by Aspergillus niger VSRK09 under SSF conditions. The effect of physiological parameters was confirmed by one-factor-at-a-time (OFAT), followed by the RSM-based FCCCD method using statistical design. The enzyme-producing abilities of A. niger VSRK09 were improved using a hybrid statistical tool viz. artificial neural network incorporated with a multi-objective genetic algorithm (MOGA-ANN). This study revealed that the MOGA-based model resulted in an optimized enzyme activity, i.e., 24.8 FPU gds−1 and 520 IU gds−1 of cellulase and xylanase, respectively, at incubation time of 3.5 days, a substrate to moisture (SM) ratio of 1:1, and inoculum size of 3.0 × 106 spores mL−1. The validation performance of ANN indicates that the designed model is trained and tested with a minimum mean square error and inserted in MOGA, which produced the best-optimized results. Saccharification of DORB released 320.5 ± 8.75 (mg gds−1) of reducing sugar which was subsequently converted to bioethanol using Saccharomyces cerevisiae yielded 13.48 ± 1.21 g L−1 ethanol.

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Funding

This work was financially supported by Maharshi Dayanand University, Rohtak, India.

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Authors and Affiliations

  1. Enzyme and Fermentation Technology Laboratory, Department of Microbiology, Maharshi Dayanand University, Rohtak, 124001, Haryana, India

    Vicky Saharan, Surya Tushir, Jagdeep Singh & Rajeev Kumar Kapoor

  2. ICAR-Central Institute of Post-Harvest Engineering and Technology, Ludhiana, India

    Surya Tushir

  3. Molq Laboratory, Gurugram, Haryana, India

    Jagdeep Singh

  4. Fermentation Laboratory, Department of Microbiology, Kurukshetra University, Kurukshetra, Haryana, India

    Naveen Kumar

  5. Department of Mechanical Engineering, University Institute of Engineering and Technology, Maharshi Dayanand University, Rohtak, 124001, India

    Deepak Chhabra

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  1. Vicky Saharan
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Contributions

Vicky Saharan: conceptualization, investigation, methodology, validation, formal analysis, resources, data curation, writing original draft, writing review and editing; Surya Tushir: writing review and editing, formal analysis, resources; Jagdeep Singh: writing review and editing, formal analysis; Naveen Kumar: writing review and editing, formal analysis; Deepak Chhabra: validation, formal analysis, data curation; Rajeev Kumar Kapoor: writing review and editing, visualization, supervision, project administration, funding acquisition.

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Correspondence to Rajeev Kumar Kapoor.

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Vicky Saharan and Surya Tushir contributed equally to this study.

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Saharan, V., Tushir, S., Singh, J. et al. Application of MOGA-ANN tool for the production of cellulase and xylanase using de-oiled rice bran (DORB) for bioethanol production. Biomass Conv. Bioref. (2023). https://doi.org/10.1007/s13399-023-04022-1

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