Evidence map›Paper›PMID 40732608›Full record

ArticleSensors (Basel, Switzerland)2025

A Highly Sensitive Low-Temperature N-Butanol Gas Sensor Based on a Co-Doped MOF-ZnO Nanomaterial Under UV Excitation.

Yinzhong Liu, Xiaoshun Wei, Yun Guo, Lingchao Wang, Hui Guo, Qingjie Wang, Yiyu Qiao, Xiaotao Zhu, Xuechun Yang, Lingli Cheng and 1 more

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Yinzhong LiuSchool of Materials Science and Engineering, Shanghai University, Shanghai 200444, China.ORCID 0009-0008-6416-9282
Xiaoshun WeiSchool of Materials Science and Engineering, Shanghai University, Shanghai 200444, China.
Yun GuoSchool of Materials Science and Engineering, Shanghai University, Shanghai 200444, China.ORCID 0000-0002-4956-3985
Lingchao WangSchool of Materials Science and Engineering, Shanghai University, Shanghai 200444, China.
Hui GuoSchool of Materials Science and Engineering, Shanghai University, Shanghai 200444, China.
Qingjie WangSchool of Materials Science and Engineering, Shanghai University, Shanghai 200444, China.
Yiyu QiaoSchool of Materials Science and Engineering, Shanghai University, Shanghai 200444, China.
Xiaotao ZhuSchool of Materials Science and Engineering, Shanghai University, Shanghai 200444, China.
Xuechun YangKey Laboratory of Organic Compound Pollution Control Engineering, Ministry of Education, Shanghai University, Shanghai 200444, China.ORCID 0000-0003-4858-2743
Lingli ChengKey Laboratory of Organic Compound Pollution Control Engineering, Ministry of Education, Shanghai University, Shanghai 200444, China.
Zheng JiaoKey Laboratory of Organic Compound Pollution Control Engineering, Ministry of Education, Shanghai University, Shanghai 200444, China.

Funding

Xuechun Yang NO. 12304467Xuechun Yang NO. 2023M732175
6 · The paper itself

Abstract

Volatile organic compounds (VOCs) are presently posing a rather considerable threat to both human health and environmental sustainability. Among these, n-butanol is commonly identified as bringing potential hazards to environmental integrity and individual health. This study presents the creation of a highly sensitive n-butanol gas sensor utilizing cobalt-doped zinc oxide (ZnO) derived from a metal-organic framework (MOF). A series of x-Co/MOF-ZnO (x = 1, 3, 5, 7 wt%) nanomaterials with varying Co ratios were generated using the homogeneous co-precipitation method and assessed for their gas-sensing performances under a low operating temperature (191 °C) and UV excitation (220 mW/cm

Indexed as

co-dopinggas sensorMOF-ZnOn-butanolUV excitation

Identifiers

PMID40732608
PMCPMC12300405

What OpenQuestion holds

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LicenceCC BY
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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.