Conversion of Levulinic Acid to γ-Valerolactone Using Hydrotalcite-Derived Cu-Ni Bimetallic Catalyst

γ-Valerolactone (GVL) is a promising bio-based platform molecule with significant potential for energy applications. The production of GVL via biomass-based levulinic acid (LA) is an important reaction. To enhance the conversion and selectivity of non-precious-metal catalysts in the LA-to-GVL process and to better understand the key factors influencing this conversion, we conducted a series of experiments. In this study, supported Cu-Ni bimetallic catalysts (Cu-Ni2/Al2O3) were prepared using layered double hydroxides (LDHs) as a precursor. Compared with Cu-Ni catalysts synthesized via the conventional impregnation method, the Cu-Ni2/Al2O3 catalysts exhibit higher catalytic activity and stability. The results demonstrated that efficient conversion was achieved with isopropanol as the hydrogen donor solvent, a reaction temperature of 180 °C, and a reaction time of 1 h. The yield of GVL reached nearly 90%, with a decrease of approximately only 6% after six consecutive cycles. The Cu-Ni2/Al2O3 catalyst proved to be effective for converting biomass-derived LA to GVL, offering a route that not only reduces production costs and environmental impact but also enables efficient biomass-to-energy conversion.

Authors

Institutions

Publication Details

Journal
Processes
Published
2025-04-07
DOI
https://doi.org/10.3390/pr13041110
Citations
1
Primary Topic
Catalysis for Biomass Conversion
Type
article
Field-Weighted Citation Impact
0.67

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Conversion of Levulinic Acid to γ-Valerolactone Using Hydrotalcite-Derived Cu-Ni Bimetallic Catalyst

Fanan Wang, G. G. Chen, K.L. Zheng, Rengui Weng et al.
1 citations
Processes
Catalysis for Biomass Conversion
0.67
article

Conversion of Levulinic Acid to γ-Valerolactone Using Hydrotalcite-Derived Cu-Ni Bimetallic Catalyst

Fanan Wang, G. G. Chen, K.L. Zheng, Rengui Weng, Shaojie Li, Xueping Liu, Jiaqi Xu, Shikang Zhao
article en
1 citations

Abstract

γ-Valerolactone (GVL) is a promising bio-based platform molecule with significant potential for energy applications. The production of GVL via biomass-based levulinic acid (LA) is an important reaction. To enhance the conversion and selectivity of non-precious-metal catalysts in the LA-to-GVL process and to better understand the key factors influencing this conversion, we conducted a series of experiments. In this study, supported Cu-Ni bimetallic catalysts (Cu-Ni2/Al2O3) were prepared using layered double hydroxides (LDHs) as a precursor. Compared with Cu-Ni catalysts synthesized via the conventional impregnation method, the Cu-Ni2/Al2O3 catalysts exhibit higher catalytic activity and stability. The results demonstrated that efficient conversion was achieved with isopropanol as the hydrogen donor solvent, a reaction temperature of 180 °C, and a reaction time of 1 h. The yield of GVL reached nearly 90%, with a decrease of approximately only 6% after six consecutive cycles. The Cu-Ni2/Al2O3 catalyst proved to be effective for converting biomass-derived LA to GVL, offering a route that not only reduces production costs and environmental impact but also enables efficient biomass-to-energy conversion.

ProcessesVol. 13(4)
Fujian University of Technology (CN)
Natural Science Foundation of Fujian Province
Openalex Percentile: Top 33%
Catalysis for Biomass Conversion
0.67
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Conversion of Levulinic Acid to γ-Valerolactone Using Hydrotalcite-Derived Cu-Ni Bimetallic Catalyst — Fanan Wang, G. G. Chen, et al. · Processes (2025) | TGRS Research Map | TGRS