Physicochemical characterization, modelling and optimization of ultrasono-assisted acid pretreatment of two Pennisetum sp. using Taguchi and artificial neural networking for enhanced delignification

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• 作者：Sonali Mohapatra^a ; Snigdha Jyotsna Dandapat^a ; Hrudayanath Thatoi^b ; ^{hn_thatoi@rediffmail.com}
• 关键词：Lignocellulose ; Delignification ; Ultrasonication ; Pennisetum sp ; Taguchi orthogonal array ; Artificial neural network
• 刊名：Journal of Environmental Management
• 出版年：2017
• 出版时间：1 February 2017
• 年：2017
• 卷：187
• 期：Complete
• 页码：537-549
• 全文大小：2756 K
• 卷排序：187

文摘

TaguchiOA and ANN techniques accurately predicted significant delignification factor. Ultrasonication assisted acid pretreatment resulted in higher delignification. SEM, FTIR and Autofloresence sufficiently evidenced the findings. Kinetics of delignification is an important factor for pretreatment. Denanath grass can be a potential lignocellulose substrate for bioethanol production.