Evidence map›Paper›PMID 38894418›Full record

ArticleSensors (Basel, Switzerland)2024

Non-Invasive Multi-Gas Detection Enabled by Cu-CuO/PEDOT Microneedle Sensor.

Arif Ullah Khan, Muhammad Tahir, Fazal Ul Nisa, Mizna Naseem, Iqra Shahbaz, Zeyu Ma, Zilu Hu, Abdul Jabbar Khan, Muhammad Sabir, Liang He

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. 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. Article
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

10 authors.

Arif Ullah KhanState Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, School of Mechanical Engineering, Sichuan University, Chengdu 610065, China.
Muhammad TahirSchool of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China.ORCID 0000-0002-6369-5714
Fazal Ul NisaState Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, School of Mechanical Engineering, Sichuan University, Chengdu 610065, China.ORCID 0009-0000-0386-8137
Mizna NaseemState Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, School of Mechanical Engineering, Sichuan University, Chengdu 610065, China.
Iqra ShahbazKey Laboratory of Green Printing, CAS Research/Education Centre for Excellence in Molecular Sciences, Institute of Chemistry Chinese Academy of Sciences (ICCAS), Beijing 100190, China.ORCID 0009-0006-9184-2802
Zeyu MaState Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, School of Mechanical Engineering, Sichuan University, Chengdu 610065, China.
Zilu HuState Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, School of Mechanical Engineering, Sichuan University, Chengdu 610065, China.
Abdul Jabbar KhanCollege of Chemistry and Chemical Engineering, Huanggang Normal University, Huanggang 438000, China.ORCID 0000-0002-8436-3831
Muhammad SabirState Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan University of Technology, Wuhan 430070, China.
Liang HeState Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, School of Mechanical Engineering, Sichuan University, Chengdu 610065, China.ORCID 0000-0002-7402-9194

Funding

Fundamental Research Funds for the Central Universities 20822041F4045National Natural Science Foundation of China 52373249the Science and Technology Project of Yibin Sanjiang New Area 2023SJXQSXZJ003
6 · The paper itself

Abstract

Metal-oxide-based gas sensors are extensively utilized across various domains due to their cost-effectiveness, facile fabrication, and compatibility with microelectronic technologies. The copper (Cu)-based multifunctional polymer-enhanced sensor (CuMPES) represents a notably tailored design for non-invasive environmental monitoring, particularly for detecting diverse gases with a low concentration. In this investigation, the Cu-CuO/PEDOT nanocomposite was synthesized via a straightforward chemical oxidation and vapor-phase polymerization. Comprehensive characterizations employing X-ray photoelectron spectroscopy (XPS), scanning electron microscopy (SEM), X-ray diffraction (XRD), and micro Raman elucidated the composition, morphology, and crystal structure of this nanocomposite. Gas-sensing assessments of this CuMPES based on Cu-CuO/PEDOT revealed that the response current of the microneedle-type CuMPES surpassed that of the pure Cu microsensor by nearly threefold. The electrical conductivity and surface reactivity are enhanced by poly (3,4-ethylenedioxythiophene) (PEDOT) polymerized on the CuO-coated surface, resulting in an enhanced sensor performance with an ultra-fast response/recovery of 0.3/0.5 s.

Indexed as

environmental monitoringnon-invasive sensingPEDOTvapor-phase polymerizationvolatile organic compound

Identifiers

PMID38894418
PMCPMC11175360

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Registered trials

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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.