Optimizing xylose production from pinewood sawdust through dilute-phosphoric-acid hydrolysis by response surface methodology

Leichang Cao, Huihui Chen, Daniel C.W. Tsang, Gang Luo, Shilai Hao, Shicheng Zhang, Jianmin Chen

Research output: Journal article publicationJournal articleAcademic researchpeer-review

32 Citations (Scopus)

Abstract

Response surface methodology was used to optimize the xylose production from pinewood sawdust through dilute-phosphoric-acid hydrolysis. The effects of independent variables on xylose yield were investigated, including reaction temperature (75–175 °C), reaction time (0–7.2 h), solution-to-feed ratio (4–20 mL/g), and phosphoric-acid concentration (0–6.67 wt%). Results indicated that the individual factor H 3PO 4 concentration and the interacting factors including temperature × time, temperature × H 3PO 4 concentration, and solution-to-feed ratio × H 3PO 4 concentration were all significant factors. Long reaction time (>5.4 h) and high phosphoric-acid concentration (>5%) showed little effect. Xylose yield increased with increasing temperature up to 125 °C. Higher phosphoric-acid concentration and larger solution-to-feed ratio also increased xylose yield. The coefficient of determination, corresponding analysis of variance, and parity plot indicated that the fitted model was appropriate for the acid-hydrolysis process. The maximum xylose production of 90.95% could be obtained with the reaction temperature of 106.7 °C, reaction time of 4.57 h, phosphoric-acid concentration 4.49 wt%, and solution-to-feed ratio of 12.51 mL/g.

Original languageEnglish
Pages (from-to)572-579
Number of pages8
JournalJournal of Cleaner Production
Volume178
DOIs
Publication statusPublished - 20 Mar 2018

Keywords

  • Acid hydrolysis
  • Biorefinery
  • Energy efficiency
  • Environmental benefit
  • Lignocellulosic biomass
  • Waste valorization

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Environmental Science(all)
  • Strategy and Management
  • Industrial and Manufacturing Engineering

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