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 | Zendy

Payel Mondal | Zendy; Anup Kumar Sadhukhan | Zendy; Amit Ganguly | Zendy; Parthapratim Gupta | Zendy

Open Access

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

Author(s) -

Payel Mondal,

Anup Kumar Sadhukhan,

Amit Ganguly,

Parthapratim Gupta

Publication year - 2021

Publication title -

3 biotech

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.557

H-Index - 37

eISSN - 2190-572X

pISSN - 2190-5738

DOI - 10.1007/s13205-020-02553-2

Subject(s) - response surface methodology , raw material , sugar , hydrolysis , yield (engineering) , ethanol fuel , artificial neural network , fermentation , reducing sugar , chemistry , enzymatic hydrolysis , pulp and paper industry , mathematics , microbiology and biotechnology , chromatography , materials science , computer science , food science , biochemistry , machine learning , engineering , biology , organic chemistry , composite material

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