Augmentation of ethanol production through statistically designed growth and fermentation medium using novel thermotolerant yeast isolates

被引:21
作者
Arora, Richa [1 ,2 ]
Behera, Shuvashish [1 ]
Sharma, Nilesh Kumar [1 ,2 ]
Kumar, Sachin [1 ,3 ]
机构
[1] Sardar Swaran Singh Natl Inst Bioenergy, Biochem Convers Div, Jalandhar Kapurthala Rd, Kapurthala 144601, Punjab, India
[2] IK Gujral Punjab Tech Univ, Kapurthala 144601, India
[3] South Dakota Sch Mines & Technol, Dept Chem & Biol Engn, Rapid City, SD 57701 USA
关键词
Thermotolerant yeast; Kluyveromyces marxianus; Ethanologen; Optimization; Face-centered central composite design; RESPONSE-SURFACE METHODOLOGY; KLUYVEROMYCES-MARXIANUS NIRE-K1; BIOETHANOL PRODUCTION; SACCHAROMYCES-CEREVISIAE; LIGNOCELLULOSIC BIOMASS; BAGASSE HYDROLYSATE; ESCHERICHIA-COLI; CRUDE GLYCEROL; OPTIMIZATION; COMPONENTS;
D O I
10.1016/j.renene.2017.03.059
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Overproduction of metabolites, high product yield and process economics are greatly influenced by the media composition used for growth and fermentation. The main purpose of this study is to enhance the ethanol production through statistical tool of response surface methodology (RSM) by optimizing media components for the growth and fermentation of thermotolerant isolates Kluyveromyces marxianus NIRE-K1 and NIRE-K3. Five different salts were used in the Face-centered Central Composite Design (FCCD), with the responses of biomass formation and ethanol production for growth and fermentation, respectively. Yeast extract and K2HPO4 were found to be the key media components for the growth and fermentation which is revealed from their interaction in both the yeast isolates. Further studies on batch fermentation kinetics using the optimized values of the medium composition for K. marxianus NIRE-K1 and NIRE-K3 resulted in final ethanol concentration of 17.73 (86.27% of theoretical ethanol yield) and 19.01 g l(1-)(94.12% of theoretical ethanol yield), respectively. An increase in the ethanol yield and productivity by 1136, 10.42% and 2.0, 2.7% was revealed in NIRE-K1 and NIRE-K3, respectively, as compared to our previous study. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:406 / 421
页数:16
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