Statistical modeling and optimization of bioethanol production from Parthenium hysterophorus

被引:2
作者
Vanitha S. [1 ]
Vidhya Bharathi S. [1 ]
Sivamani S. [1 ]
机构
[1] Department of Biotechnology, Kumaraguru College of Technology, Coimbatore, 641049, Tamil Nadu
来源
Environmental Science and Engineering | 2017年 / 0卷 / 9783319484389期
关键词
Bioethanol; Lignocellulosic biomass; Parthenium hysterophorus; Pre-treatment;
D O I
10.1007/978-3-319-48439-6_19
中图分类号
学科分类号
摘要
Potential of producing liquid transportation biofuels is demanding because of depleting fossil fuels. The aim of this study is to produce bioethanol from Parthenium hysterophorus by statistical modeling and optimization. Response surface methodology based Box–Behnken design was employed to optimize the pre-treatment of P. hysterophorus using tartaric acid. Pre-treatment of plant tissue was confirmed through Fourier transform infrared (FTIR) spectroscopy, scanning electron microscopy (SEM) and visualization in photographic image. Then, cellulases enzyme was used for hydrolysis of cellulose in cellulignin (cellulose and lignin) and then detoxified with lime. Finally, co-fermentation of Kluyveromyces marxianus with Saccharomyces cerevisiae, Fusarium oxysporum, Zymomonas mobilis and Klebsiella oxytoca was performed for bioethanol production. Ethanol concentrations of 1.248, 1.195, 1.879 and 1.616% (v/v) were obtained for mixed culture of K. marxianus with Z. mobilis, K. oxytoca, F. oxysporum and S. cerevisiae respectively after 72 h of fermentation. Hence, it is inferred that, the mixed culture of K. marxianus and F. oxysporum was found to be the best combination for ethanol production from P. hysterophorus. © 2017, Springer International Publishing AG.
引用
收藏
页码:253 / 265
页数:12
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