Selective catalytic conversion of waste lignocellulosic biomass for renewable value-added chemicals via directional microwave-assisted liquefaction

47Citations
Citations of this article
47Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Selective catalytic conversion of biomass waste for producing methyl levulinate (MLA) via directional microwave-assisted liquefaction was investigated. The goal of the study was to develop a directional liquefaction process using dielectric heating with microwave energy. The methanolysis of biomass into methyl levulinate was studied in the presence of several acid catalysts. The C6 sugar substrates in biomass were successfully converted into methyl levulinate under the optimized conditions (180 °C, 40 min) with a yield of 29.39 wt%. 5-Hydroxymethyl furfural, glucose, fructose, cellobiose, corn starch, and microcrystalline cellulose were selected as models for directional microwave-assisted liquefaction. Therefore, the possible reaction pathway of biomass to methyl levulinate could be investigated. The selective catalytic conversion of biomass was found to be highly efficient for the generation of MLA (reaching a maximum yield of approximately 30 wt%), higher than the levulinic acid yield (14 wt%) in aqueous solution under the same reaction conditions. The results suggested that directional microwave-assisted liquefaction is an effective method that can produce a high value-added fuel additive (methyl levulinate) from lignocellulosic biomass under designated reaction processes.

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Feng, J., Jiang, J., Hse, C. Y., Yang, Z., Wang, K., Ye, J., & Xu, J. (2018). Selective catalytic conversion of waste lignocellulosic biomass for renewable value-added chemicals via directional microwave-assisted liquefaction. Sustainable Energy and Fuels, 2(5), 1035–1047. https://doi.org/10.1039/c7se00579b

Readers over time

‘18‘19‘20‘21‘22‘23‘24‘250481216

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 14

67%

Lecturer / Post doc 3

14%

Researcher 3

14%

Professor / Associate Prof. 1

5%

Readers' Discipline

Tooltip

Chemical Engineering 7

39%

Chemistry 5

28%

Materials Science 3

17%

Engineering 3

17%

Save time finding and organizing research with Mendeley

Sign up for free
0