Evidence map›Paper›PMID 37112109›Full record

ArticlePolymers2023

Fungal Selectivity and Biodegradation Effects by White and Brown Rot Fungi for Wood Biomass Pretreatment.

Jiyun Qi, Fangfang Li, Lu Jia, Xiaoyuan Zhang, Shuduan Deng, Bei Luo, Yonghui Zhou, Mizi Fan, Yan Xia

Open access · goldAbstract read
In one paragraph

Article in Polymers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
17.9field-weighted citation impact, top 1% of its field
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

7 citing papers in PubMed, 45 citations in OpenAlex.

  1. Isolation, Identification ofInternational journal of molecular sciences · 2026
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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

9 authors at 2 institutions in 2 countries.

Jiyun QiYunnan Provincial Key Laboratory of Wood Adhesives and Glued Products, Southwest Forestry University, Kunming 650224, China.
Fangfang LiYunnan Provincial Key Laboratory of Wood Adhesives and Glued Products, Southwest Forestry University, Kunming 650224, China.
Lu JiaYunnan Provincial Key Laboratory of Wood Adhesives and Glued Products, Southwest Forestry University, Kunming 650224, China.
Xiaoyuan ZhangYunnan Provincial Key Laboratory of Wood Adhesives and Glued Products, Southwest Forestry University, Kunming 650224, China.
Shuduan DengYunnan Provincial Key Laboratory of Wood Adhesives and Glued Products, Southwest Forestry University, Kunming 650224, China.
Bei LuoYunnan Provincial Key Laboratory of Wood Adhesives and Glued Products, Southwest Forestry University, Kunming 650224, China.
Yonghui ZhouCollege of Engineering, Design and Physical Sciences, Brunel University London, Uxbridge UB8 3PH, UK.
Mizi FanCollege of Engineering, Design and Physical Sciences, Brunel University London, Uxbridge UB8 3PH, UK.
Yan XiaYunnan Provincial Key Laboratory of Wood Adhesives and Glued Products, Southwest Forestry University, Kunming 650224, China.ORCID 0000-0003-3121-4784
Southwest Forestry University · CNBrunel University of London · GB

Funding

National Natural Science Foundation of China 31860186, 32260362, 31360157the 111 Project D21027the Joint project of Yunnan Agricultural Basic Research 202101BD070001-058
6 · The paper itself

Abstract

The biodegradation path and mechanism of wood varies depending on diverse fungi and tree species, as fungi possess selectivity in degradation of versatile wood components. This paper aims to clarify the actual and precise selectivity of white and brown rot fungi and the biodegradation effects on different tree species. Softwood (

Indexed as

biodegradationbiotechnologychemical componentsfungi’s selectivitysoftwood and hardwood

Identifiers

PMID37112109
PMCPMC10144154
OpenAlexW4366775336

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.