Prediction of phenolic compounds and glucose content from dilute inorganic acid pretreatment of lignocellulosic biomass using artificial neural network modeling

HIGHLIGHTS

• who: Hongzhen Luo from the School of Life Science and Food Engineering, Huaiyin Institute of Technology, Meicheng East Road, Huaian, China have published the research work: Prediction of phenolic compounds and glucose content from dilute inorganic acid pretreatment of lignocellulosic biomass using artificial neural network modeling, in the Journal: (JOURNAL) of 13/Oct/2021
• what: Focusing on above-mentioned issues, in this study, the authors aim to develop an ANN model for elucidating the derived feature of phenolics from corn stover by integrative investigating typical three inorganic acids (HCl, ­H2SO4, and ­H3PO4) pretreatment and enzymatic . . .
  

   

  

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