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Invasive weed optimization coupled biomass and product dynamics of tuning soybean husk towards lipolytic enzyme.
Jaypee University of Information Technology, India.
Jaypee University of Information Technology, India.
Indian Institute of Technology Bhubaneswar, India.
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2022 (English)In: Bioresource Technology, ISSN 0960-8524, E-ISSN 1873-2976, Vol. 344, no Pt B, article id 126254Article in journal (Refereed) Published
Sustainable development
According to the author(s), the content of this publication falls within the area of sustainable development.
Abstract [en]

Waste to the product approach was proposed for tuning environ-threat soybean husk towards lipolytic enzyme by integrating the invasive weed optimization with biomass and product dynamics study. The invasive weed optimization constitutes based on the non-linear regression model results in a 47 % enhancement in lipolytic enzyme using the optimization parameters of 7% Sigma Final, 9% exponent; Smax of 5 with a population size of 35 and Max. generations of 99. The biomass dynamic study showcases the dynamic parameters of 0.0239 µmax, 8.17 XLimst and 0.852 RFin values. The product dynamic studies reveal the kinetic parameters of kst, kdiv, PFin, which seem to be equal to -0.0338, 0.0896 and 68.1, respectively. Overall, the present study put forth the zero-waste (soybean husk) to the product (lipolytic enzyme) approach by introducing the novel "Invasive Weed Optimization" coupled with "Biomass and product dynamics" to the bioprocessing field.

Place, publisher, year, edition, pages
2022. Vol. 344, no Pt B, article id 126254
Keywords [en]
Biomass and product dynamics, Invasive weed optimization, Lipolytic enzyme, Soybean husk, Waste to product approach
National Category
Industrial Biotechnology
Research subject
Resource Recovery
Identifiers
URN: urn:nbn:se:hb:diva-27004DOI: 10.1016/j.biortech.2021.126254ISI: 000719919600004PubMedID: 34757227Scopus ID: 2-s2.0-85118837064OAI: oai:DiVA.org:hb-27004DiVA, id: diva2:1618153
Available from: 2021-12-08 Created: 2021-12-08 Last updated: 2021-12-08Bibliographically approved

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Taherzadeh, Mohammad J

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