Evidence map›Paper›PMID 42239599›Full record

ArticleRSC advances2026

Study on the gasification characteristics of wool in supercritical water for hydrogen production.

Wentao Deng, Yun Chao, Qian Li, Bin Chen, Zhigang Liu, Huiming Chen, Lei Yi, Chuanli Liu

Abstract read
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

8 authors.

Wentao DengSchool of Energy and Mechanical Engineering, Jiangxi University of Science and Technology Nanchang 330013 China chaoyun2001_09@126.com wuli198679@163.com.
Yun ChaoSchool of Energy and Mechanical Engineering, Jiangxi University of Science and Technology Nanchang 330013 China chaoyun2001_09@126.com wuli198679@163.com.
Qian LiSchool of Energy and Mechanical Engineering, Jiangxi University of Science and Technology Nanchang 330013 China chaoyun2001_09@126.com wuli198679@163.com.ORCID https://orcid.org/0009-0005-2666-6999
Bin ChenState Key Laboratory of Multiphase Flow in Power Engineering (SKLMF), Xi'an Jiaotong University Xi'an 710049 China.ORCID https://orcid.org/0000-0001-6821-2008
Zhigang LiuState Key Laboratory of Multiphase Flow in Power Engineering (SKLMF), Xi'an Jiaotong University Xi'an 710049 China.
Huiming ChenState Key Laboratory of Multiphase Flow in Power Engineering (SKLMF), Xi'an Jiaotong University Xi'an 710049 China.
Lei YiJiangxi Provincial Key Laboratory of Particle Technology, Jiangxi University of Science and Technology Ganzhou 341000 China.
Chuanli LiuInternational Institute for Innovation, Jiangxi University of Science and Technology Nanchang 330013 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Waste wool, a protein-based waste from textile and livestock industries, represents a promising yet underexplored feedstock for clean hydrogen production. In supercritical water, its keratin structure undergoes rapid hydrolysis and depolymerization, enabling efficient conversion into hydrogen-rich gas with minimal char formation. In this study, a systematic investigation of wool SCWG was conducted by evaluating the effects of temperature, feedstock concentration, residence time, and catalyst addition. Compared with conventional biomass feedstocks, the unique protein structure of wool leads to distinct gasification behavior and high hydrogen production potential. Higher temperature, lower feedstock concentration, and moderately long residence time significantly enhance carbon conversion and gas yield. Under optimal conditions (600 °C, 2 wt% feedstock concentration, and 5 min residence time), carbon conversion efficiency reached 95.71%, hydrogen efficiency reached 119.26%, and gas yield reached 42.72 mol kg

Identifiers

PMID42239599
PMCPMC13227512

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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.