Skip to main content

Table 1 The design of operating conditions to perform the dilute acid pretreatment of lignocellulosic biomass for the development of ANN model

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

Lignocellulose Kinds of acids (kIA)a Acid concentration (CIA, mol/L) Pretreatment temperature (T, ℃) Residence time (t, min) Solid to liquid ratio (RSL) Enzyme loading dosage (E, FPU/g)
Corn stover Hydrochloric acid (HCl) 0.05–0.6 120–200 20–60 10–15% 10–20
Sulfuric acid (H2SO4) 0.05–0.6 120–200 20–60 10–15% 10–20
Phosphoric acid (H3PO4) 0.05–0.6 120–200 20–60 10–15% 10–20
  1. The pretreatment experiments with specified conditions were all carried out with three replicates. The raw data used for ANN development were the means and the detailed means ± SD values are shown in Table S1
  2. Three kinds of inorganic acid including dibasic acid (HCl), binary acid (H2SO4), and ternary acid (H3PO4) were used
  3. aThe k value for HCl, H2SO4 and H3PO4 was set as 1, 2, and 3, respectively, which was used as one input parameter for the development of ANN model