Evidence map›Paper›PMID 41502692›Full record

ArticleACS omega2025

Cu-Gallate MOF-Chitosan Hybrid Membrane for Low-Power, Non-Invasive Acetone Sensing: Toward Early-Stage Diabetes Detection.

Lamia A Siddig, Yaser E Greish, Ashraf Ali, Khadega A Al-Maqdi, Abdul Hakeem Deshmukh, Naser N Qamhieh, Saleh T Mahmoud

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Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Lamia A SiddigDepartment of Physics, United Arab Emirates University, Al-Ain 15551, United Arab Emirates.ORCID https://orcid.org/0000-0003-2534-2552
Yaser E GreishDepartment of Chemistry, United Arab Emirates University, Al-Ain 15551, United Arab Emirates.ORCID https://orcid.org/0000-0002-7147-6773
Ashraf AliDepartment of Physics, Khalifa University of Science and Technology, Abu Dhabi P.O. Box 127788, United Arab Emirates.
Khadega A Al-MaqdiDepartment of Chemistry, United Arab Emirates University, Al-Ain 15551, United Arab Emirates.
Abdul Hakeem DeshmukhDepartment of Physics, United Arab Emirates University, Al-Ain 15551, United Arab Emirates.
Naser N QamhiehDepartment of Physics, United Arab Emirates University, Al-Ain 15551, United Arab Emirates.
Saleh T MahmoudDepartment of Physics, United Arab Emirates University, Al-Ain 15551, United Arab Emirates.ORCID https://orcid.org/0000-0002-9232-172X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The precise and noninvasive detection of volatile organic compounds (VOCs) is of growing importance in medical diagnostics, health monitoring, and environmental assessment. Among these VOCs, acetone in human breath serves as a key biomarker for the early detection of diabetes. In this work, we report the development of a high-performance composite membrane sensor based on a copper gallate metal-organic framework (Cu-gallate MOF) integrated with chitosan (CS) and doped with ionic liquid glycerol (IL). The incorporation of chitosan significantly improved membrane conductivity and structural stability, while hydrogen-bonding interactions enhanced acetone selectivity. As a result, the Cu-gallate MOF/CS/IL sensor achieved a remarkable detection limit of 0.25 ppm at an operating temperature of 80 °C, with rapid response (27 s) and recovery (10 s) times. The sensor further demonstrated excellent selectivity, long-term durability, and reproducible performance under practical testing conditions. These findings highlight the potential of MOF-based mixed-matrix membranes as a cost-effective and energy-efficient platform for real-time breath analysis, providing a promising pathway toward early diagnosis and monitoring of diabetes.

Identifiers

PMID41502692
PMCPMC12772395

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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.