Evidence map›Paper›PMID 42272559›Full record

ArticleRSC advances2026

Efficient hydrogenation of furfural to furfuryl alcohol by recoverable copper tailings catalyst.

Lele Shang, Weijun Dai, Xiaolong Hao, Dongbao Guo, Xiao Li, Yongjie Niu, Yalong Yi, Hao Wang, Xiaobo Pan, Shuang Dai

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in RSC advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Lele ShangMNR Key Laboratory of Strategic Mineral Resources of the Upper Yellow River, School of Earth Sciences, Lanzhou University Lanzhou 730000 China daisher@lzu.edu.cn.
Weijun DaiCollege of Chemistry and Chemical Engineering, Lanzhou University Lanzhou 730000 China boxb@lzu.edu.cn.
Xiaolong HaoCollege of Chemistry and Chemical Engineering, Lanzhou University Lanzhou 730000 China boxb@lzu.edu.cn.
Dongbao GuoMNR Key Laboratory of Strategic Mineral Resources of the Upper Yellow River, School of Earth Sciences, Lanzhou University Lanzhou 730000 China daisher@lzu.edu.cn.
Xiao LiLanzhou Mineral Exploration Institute of Gansu Nonferrous Metal Geological Exploration Bureau Lanzhou 730000 China.
Yongjie NiuMNR Key Laboratory of Strategic Mineral Resources of the Upper Yellow River, School of Earth Sciences, Lanzhou University Lanzhou 730000 China daisher@lzu.edu.cn.
Yalong YiMNR Key Laboratory of Strategic Mineral Resources of the Upper Yellow River, School of Earth Sciences, Lanzhou University Lanzhou 730000 China daisher@lzu.edu.cn.
Hao WangLanzhou Mineral Exploration Institute of Gansu Nonferrous Metal Geological Exploration Bureau Lanzhou 730000 China.
Xiaobo PanCollege of Chemistry and Chemical Engineering, Lanzhou University Lanzhou 730000 China boxb@lzu.edu.cn.ORCID https://orcid.org/0000-0002-5757-2339
Shuang DaiMNR Key Laboratory of Strategic Mineral Resources of the Upper Yellow River, School of Earth Sciences, Lanzhou University Lanzhou 730000 China daisher@lzu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Selective hydrogenation of substrates containing multiple unsaturated bonds (C[double bond, length as m-dash]C and C[double bond, length as m-dash]O) is a crucial catalytic process in the production of high-value chemicals. The development of non-precious metal catalytic systems is of importance for hydrogenation processes due to the high cost and scarcity of noble metals. Here, we report the direct hydrogenation of furfural (FAL) to furfuryl alcohol (FFA) over an active and stable copper tailings catalyst (CTC). The CTC showed 80% selectivity for FFA with full conversion of FAL at 200 °C under 3.0 MPa of H

Identifiers

PMID42272559
PMCPMC13247830

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.