Optimization of process parameters for bio-enzymatic and enzymatic saccharification of waste broken rice for ethanol production using response surface methodology and artificial neural network–genetic algorithm-Reference-Cited by-同舟云学术

Optimization of process parameters for bio-enzymatic and enzymatic saccharification of waste broken rice for ethanol production using response surface methodology and artificial neural network–genetic algorithm

Published:2021-01 Issue:1 Volume:11 Page:
ISSN:2190-572X
Container-title:3 Biotech
language:en
Short-container-title:3 Biotech

Author:

Mondal Payel,Sadhukhan Anup Kumar^ORCID,Ganguly Amit,Gupta Parthapratim

Publisher

Springer Science and Business Media LLC

Subject

Agricultural and Biological Sciences (miscellaneous),Environmental Science (miscellaneous),Biotechnology

Link

http://link.springer.com/content/pdf/10.1007/s13205-020-02553-2.pdf

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3. Ahmad F, Jameel AT, Kamarudin MH, Mel M (2011) Study of growth kinetic and modeling of ethanol production by Saccharomyces cerevisae. Afr J Biotechnol 16(81):18842–18846. https://doi.org/10.5897/ajb11.2763

4. Alam MA, Yuan T, Xiong W, Zhang B, Lv Y, Xu J (2019) Process optimization for the production of high-concentration ethanol with Scenedesmus raciborskii biomass. Biores Technol 294:122219. https://doi.org/10.1016/j.biortech.2019.122219

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