Multi-objective optimization of lignocellulolytic enzyme cocktail production from Pseudolagarobasidium acaciicola TDW-48 by artificial neural network-genetic algorithm (ANN-GA) strategy and its application in lignocellulose waste bioconversion
Author:
Funder
King Mongkut’s Institute of Technology Ladkrabang
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s13399-024-05802-z.pdf
Reference50 articles.
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2. Liu Y, Tang Y, Gao H et al (2021) Challenges and future perspectives of promising biotechnologies for lignocellulosic biorefinery. Molecules 26:5411. https://doi.org/10.3390/molecules26175411
3. Fukuda S (2020) Agricultural and municipal waste management in Thailand. In: an introduction to circular economy. Springer Singapore, pp 303–324
4. Chukwuma OB, Rafatullah M, Tajarudin HA, Ismail N (2020) Lignocellulolytic enzymes in biotechnological and industrial processes: a review. Sustain (Switzerland) 12:1–31. https://doi.org/10.3390/su12187282
5. Adsul M, Sandhu SK, Singhania RR et al (2020) Designing a cellulolytic enzyme cocktail for the efficient and economical conversion of lignocellulosic biomass to biofuels. Enzyme Microb Technol 133:109442. https://doi.org/10.1016/j.enzmictec.2019.109442
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