Evidence map›Paper›PMID 38716101›Full record

ArticleRSC advances2024

Natural tea polyphenol functionalized graphene anode for simultaneous power production and degradation of methyl orange dye in microbial fuel cells.

Deliang Guo, Qikai Fu, Xinru Wang, Ling Li, Xiaolin Xu, Xiongfang An

Abstract read
In one paragraph

Article in RSC advances, 2024. 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

6 authors.

Deliang GuoSchool of Chemistry and Chemical Engineering, Key Laboratory of Environmental Monitoring and Pollutant Control, Shihezi University Shihezi 832003 China xuxl@shzu.edu.cn shz_anxiongf@163.com.
Qikai FuSchool of Chemistry and Chemical Engineering, Key Laboratory of Environmental Monitoring and Pollutant Control, Shihezi University Shihezi 832003 China xuxl@shzu.edu.cn shz_anxiongf@163.com.
Xinru WangSchool of Chemistry and Chemical Engineering, Key Laboratory of Environmental Monitoring and Pollutant Control, Shihezi University Shihezi 832003 China xuxl@shzu.edu.cn shz_anxiongf@163.com.
Ling LiSchool of Chemistry and Chemical Engineering, Key Laboratory of Environmental Monitoring and Pollutant Control, Shihezi University Shihezi 832003 China xuxl@shzu.edu.cn shz_anxiongf@163.com.
Xiaolin XuSchool of Chemistry and Chemical Engineering, Key Laboratory of Environmental Monitoring and Pollutant Control, Shihezi University Shihezi 832003 China xuxl@shzu.edu.cn shz_anxiongf@163.com.ORCID https://orcid.org/0000-0002-6282-4625
Xiongfang AnSchool of Chemistry and Chemical Engineering, Key Laboratory of Environmental Monitoring and Pollutant Control, Shihezi University Shihezi 832003 China xuxl@shzu.edu.cn shz_anxiongf@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The microbial fuel cell (MFCs) has dual functions, capable of achieving dye decolorization and synchronous power generation. Despite these advantages, the MFCs have faced challenges related to low electron transfer efficiencies and limited dye treatment capacity in wastewater applications. This work introduces an innovative approach by employing reduced graphene oxide-modified carbon cloth (TP-RGO@CC) anodes, utilizing tea polyphenols as the reducing agent. This modification significantly enhances the hydrophilicity and biocompatibility of the anodes. The MFC equipped with the TP-RGO@CC anode demonstrated a remarkable increase in the maximum power density, reaching 773.9 mW m

Identifiers

PMID38716101
PMCPMC11075777

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.