Evidence map›Paper›PMID 35590324›Full record

ArticleJournal of nanobiotechnology2022

Self-redox reaction driven in situ formation of Cu

Ya-Ju Hsu, Amit Nain, Yu-Feng Lin, Yu-Ting Tseng, Yu-Jia Li, Arumugam Sangili, Pavitra Srivastava, Hui-Ling Yu, Yu-Fen Huang, Chih-Ching Huang and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of nanobiotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

11 authors.

Ya-Ju Hsu *Department of Chemistry, National Taiwan University, Taipei, 10617, Taiwan.
Amit Nain *Department of Chemistry, National Taiwan University, Taipei, 10617, Taiwan.
Yu-Feng LinDepartment of Chemistry, National Taiwan University, Taipei, 10617, Taiwan.
Yu-Ting TsengDepartment of Chemistry, National Taiwan University, Taipei, 10617, Taiwan.
Yu-Jia LiDepartment of Chemistry, National Taiwan University, Taipei, 10617, Taiwan.
Arumugam SangiliDepartment of Chemistry, National Taiwan University, Taipei, 10617, Taiwan.
Pavitra SrivastavaSchool of Basic Sciences, Indian Institute of Technology, Kamand campus, Mandi, Himachal Pradesh, 175005, India.
Hui-Ling YuDepartment of Chemistry, National Taiwan University, Taipei, 10617, Taiwan.
Yu-Fen HuangInstitute of Analytical and Environmental Sciences, National Tsing Hua University, Hsinchu, 30013, Taiwan.
Chih-Ching HuangDepartment of Bioscience and Biotechnology and Center of Excellence for the Oceans, National Taiwan Ocean University, Keelung, 202301, Taiwan. huanging@ntou.edu.tw.ORCID http://orcid.org/0000-0002-0363-1129
Huan-Tsung ChangDepartment of Chemistry, National Taiwan University, Taipei, 10617, Taiwan. changht@ntu.edu.tw.

Funding

Ministry of Science and Technology, Taiwan 110-2113-M-002-005-MY3Ministry of Science and Technology, Taiwan 110-2622-M-002-001
6 · The paper itself

Abstract

backgroundMXenes with interesting optical and electrical properties have been attractive in biomedical applications such as antibacterial and anticancer agents, but their low photogeneration efficiency of reactive oxygen species (ROS) and poor stability are major concerns against microbial resistance.

methodsWater-dispersible single layer Ti

resultsUnder NIR irradiation, the Cu

conclusionUpon NIR illumination, Cu

Indexed as

Diabetes Mellitus, ExperimentalMethicillin-Resistant Staphylococcus aureusAnimalsAnti-Bacterial AgentsMiceOxidation-ReductionTitaniumAnti-Bacterial AgentsTitaniumAntimicrobialsCuprous oxideMXenePhotoresponsive nanomaterialsWound healing

Identifiers

PMID35590324
PMCPMC9117998

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.