Evidence map›Paper›PMID 40333510›Full record

ArticleMaterials (Basel, Switzerland)2025

Enhanced Antibacterial Activity of Sodium Titanate/Graphene Quantum Dot Self-Supporting Membranes via Synergistic Photocatalysis and Physical Cutting.

Shuling Shen, Ji Wang, Yaru Li, Xinjuan Liu, Zhihong Tang, Huixin Xiu, Jing Li, Guanglei Zhou

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2025. 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.

Shuling ShenSchool of Materials and Chemistry, University of Shanghai for Science and Technology, Shanghai 200093, China.ORCID 0000-0001-6015-8035
Ji WangSchool of Materials and Chemistry, University of Shanghai for Science and Technology, Shanghai 200093, China.
Yaru LiSchool of Materials and Chemistry, University of Shanghai for Science and Technology, Shanghai 200093, China.
Xinjuan LiuSchool of Materials and Chemistry, University of Shanghai for Science and Technology, Shanghai 200093, China.
Zhihong TangSchool of Materials and Chemistry, University of Shanghai for Science and Technology, Shanghai 200093, China.
Huixin XiuSchool of Materials and Chemistry, University of Shanghai for Science and Technology, Shanghai 200093, China.
Jing LiSchool of Materials and Chemistry, University of Shanghai for Science and Technology, Shanghai 200093, China.
Guanglei ZhouAcademy of Forensic Science, Shanghai 200063, China.

Funding

Natural Science Foundation of Shanghai 24ZR1453900
6 · The paper itself

Abstract

Graphene quantum dots (GQDs) show significant promise as antibacterial agents, but their application is hindered by several limitations, including potential cytotoxicity at high concentrations, as well as concerns regarding aggregation and reusability. In this study, sodium titanate (NTO) ultralong nanotubes were utilized as both a photocatalyst and support for GQDs. The NTO/GQDs heterojunction was formed by embedding GQDs nanoplates onto the walls of NTO nanotubes. This integration significantly improved the visible light absorption and enhanced the separation and transfer of electron-hole pairs, leading to an efficient photocatalytic antibacterial process. The NTO/GQD-8 self-supporting membrane composed of these ultralong nanotubes demonstrated outstanding antibacterial efficiency (99.99%) against

Indexed as

graphene quantum dotsphotocatalytic antibacterialphysical cuttingself-supporting membranessodium titanate

Identifiers

PMID40333510
PMCPMC12028856

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.