Evidence map›Paper›PMID 37936635›Full record

ReviewRSC advances2023

Thermal, photonic, and electrocatalysis in lignin depolymerization research.

Wang Ziwei, Shu Hao, Chen Yizhen, Liu Ben, Xu Yaowei, Wang Wanxia, Wang Kaiyue, Lei Mengheng, Guo Li, Wang Lei

Abstract readReview
In one paragraph

Review in RSC advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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.

Wang ZiweiChina Tobacco Hubei Industrial Co., Ltd Wuhan 430040 China.
Shu HaoChina Tobacco Hubei Industrial Co., Ltd Wuhan 430040 China.
Chen YizhenChina Tobacco Hubei Industrial Co., Ltd Wuhan 430040 China.
Liu BenChina Tobacco Hubei Industrial Co., Ltd Wuhan 430040 China.
Xu YaoweiChina Tobacco Hubei Industrial Co., Ltd Wuhan 430040 China.
Wang WanxiaChina Tobacco Hubei Industrial Co., Ltd Wuhan 430040 China.
Wang KaiyueChina Tobacco Hubei Industrial Co., Ltd Wuhan 430040 China.
Lei MenghengChina Tobacco Hubei Industrial Co., Ltd Wuhan 430040 China.
Guo LiKey Laboratory of Hubei Province for Coal Conversion and New Carbon Materials, School of Chemistry and Chemical Engineering, Wuhan University of Science and Technology Heping Avenue 947 Wuhan 430081 China guoli@wust.edu.cn +86-027-6886-2335.ORCID https://orcid.org/0000-0001-9234-5871
Wang LeiHubei Provincial Key Laboratory of Green Materials for Light Industry, Hubei University of Technology Wuhan 430068 China wanglei@hbut.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to realize a sustainable bio-based future, it is essential to fully harness the potential of biomass, including lignin - a readily available biopolymer that ranks second in abundance and serves as a renewable source of aromatics. While lignin has traditionally been used for lower-value applications like fuel and power generation, unlocking its higher-value potential through diverse conversion and upgrading techniques is of paramount importance. This review focuses on the catalytic conversion of lignin, with a specific emphasis on selective depolymerization, a process that not only supports economically and environmentally sustainable biorefineries but also aligns with Green Chemistry principles, mitigating adverse environmental impacts. Furthermore, we provide a comprehensive discussion of reaction pathways and mechanisms, including C-O and C-C bond cleavage, among different catalysts. Lastly, we analyze and briefly discuss the prospects of rational catalyst design in biomass valorization.

Identifiers

PMID37936635
PMCPMC10626394

What OpenQuestion holds

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Registered trials

None linked

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.