Artificial Neural Network Modeling to Predict the Efficiency of Phosphoric Acid-Hydrogen Peroxide Pretreatment of Wheat Straw

Artificial Neural Network Modeling to Predict the Efficiency of Phosphoric Acid-Hydrogen Peroxide Pretreatment of Wheat Straw

Show other versions (1)

Phosphoric acid-hydrogen peroxide (PHP) pretreatment is an effective method to obtain a cellulose-enriched fraction from biomass. In this study, artificial neural network (ANN) was used to predict PHP pretreatment efficiency of cellulose content (C-C), cellulose recovery (C-Ry), hemicellulose remova...

Full description

Bibliographic Details
Main Authors: Qing Wang, Jinxiang Hua, Jinguang Hu, Li Zhao, Mei Huang, Dong Tian, Yongmei Zeng, Shihuai Deng, Fei Shen, Xinquan Zhang
Format: Article
Language:English
Published: North Carolina State University 2023-11-01
Series:BioResources
Subjects:
lignocellulosic biomass
ann model
pretreatment efficiency
prediction
relative importance
Online Access:https://ojs.cnr.ncsu.edu/index.php/BRJ/article/view/22736

Similar Items

Similar Items