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On-site enriched production of cellulase enzyme using rice straw waste and its hydrolytic performance evaluation through systematic dynamic modeling

  • Pinaki Dey*
  • , Sankha Chakrabortty
  • , Dibyajyoti Haldar
  • , Vivek Rangarajan
  • , Sowmya Ashok
  • *Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    Abstract

    The application of on-site produced cellulolytic enzymes in place of commercial enzymes towards hydrolytic preparations of reducing sugars using inexpensive lignocellulosic wastes is considered the most efficient strategy to accomplish a cost-effective biofuel production process. Along with improved production, intrinsic and systematic performance evaluation of the produced enzyme during the hydrolysis process through kinetic intervention remains a crucial requirement for achieving the improved performance of the process. With this motivation, the present study primarily deals with the nutritionally optimized production strategy of cellulases from rice straw (RS) waste using Trichoderma reesei (MTCC 164). The highest cellulase production was obtained 8.09 ± 0.32 g/l in batch mode at optimized combinations of 3.5% (w/v) RS inducer, 3.0% (w/v) lactose, and 1.5% (w/v) peptone. Production was further improved through pH-regulated (pH 5.5 to 6.5) fed-batch fermentations. The enzyme produced at pH 6 was considered for hydrolysis studies at 4 to 10% (w/w) solid loading due to reasonable exoglucanase, endoglucanase, and maximum β-glucosidase activity levels of 9.3 U/ml, 3.87 U/ml, and 2.65 U/ml respectively. Multi-reaction systematic kinetic modeling was implemented to evaluate enzyme performance during hydrolysis, and the values of inhibitory kinetic parameters (K2r = 7.1 < K1r = 18.5 < K3r = 276.6) suggested that sequential conversion of cellulose to glucose by existing enzyme components was more dominant over direct conversion.

    Original languageEnglish
    Pages (from-to)36710-36727
    Number of pages18
    JournalEnvironmental Science and Pollution Research
    Volume30
    Issue number13
    DOIs
    Publication statusPublished - 03-2023

    All Science Journal Classification (ASJC) codes

    • Environmental Chemistry
    • Pollution
    • Health, Toxicology and Mutagenesis

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