Evidence map›Paper›PMID 41534549›Full record

ArticleJournal of advanced research2026

Oxygen-vacancy-regulated molybdenum oxide nanosheets for a multi-phosphate discriminative colorimetric sensor array.

Cheng Cheng, Xingying Li, Zhiwei Chen, Aiwu Wang, Fucong Lyu, Muhammad Humayun, Mohamed Bououdina

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of advanced research, 2026. 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

7 authors.

Cheng ChengShenzhen Key Laboratory of Ultraintense Laser and Advanced Material Technology, Center for Advanced Material Diagnostic Technology, and College of Engineering Physics, Shenzhen Technology University, Shenzhen 518118, China.
Xingying LiShenzhen Key Laboratory of Ultraintense Laser and Advanced Material Technology, Center for Advanced Material Diagnostic Technology, and College of Engineering Physics, Shenzhen Technology University, Shenzhen 518118, China.
Zhiwei ChenShenzhen Key Laboratory of Ultraintense Laser and Advanced Material Technology, Center for Advanced Material Diagnostic Technology, and College of Engineering Physics, Shenzhen Technology University, Shenzhen 518118, China.
Aiwu WangShenzhen Key Laboratory of Ultraintense Laser and Advanced Material Technology, Center for Advanced Material Diagnostic Technology, and College of Engineering Physics, Shenzhen Technology University, Shenzhen 518118, China. Electronic address: wangaiwu@sztu.edu.cn.
Fucong LyuFaculty of Materials Science and Eenergy Engineering, Shenzhen University of Advanced Technology, Shenzhen 518107, China.
Muhammad HumayunEnergy, Water and Environment Lab, College of Sciences and Humanities, Prince Sultan University Riyadh, 11586, Saudi Arabia.
Mohamed BououdinaEnergy, Water and Environment Lab, College of Sciences and Humanities, Prince Sultan University Riyadh, 11586, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The detection and identification of various phosphates are crucial in disease diagnostics. However, traditional detection techniques often require the development of multi-ion systems, and the complexity of sensor unit fabrication has limited the broad applications of sensor arrays. In this study, we report for the first-time the design of a colorimetric sensor using oxygen vacancy-regulated MoO

Indexed as

Complex systemsMoO(x) nanosheetsOxygen vacancyPhosphatesSensor array

Identifiers

PMID41534549
PMCPMC13669587

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.