Acetone gas sensor based on chitosan-metal-organic framework mixed matrix membranes for diabetes diagnosis

Detecting diabetes in its early stages through non-invasive methods remains a major challenge for researchers. One promising approach involves the development of a rapid and sensitive chemiresistive sensor to measure acetone levels in exhaled breath-a potential biomarker for diabetes. In this study, we successfully fabricated a novel composite sensor comprising chitosan, a linear polysaccharide, combined with a metal-organic framework (UiO-66-NH2 MOF) and the ionic liquid glycerol. This combination enhances the film-forming properties of the material, leveraging the MOF's high surface area and selective adsorption capabilities for superior performance. The sensor was designed to detect acetone through chemiresistive sensing and demonstrated remarkable response to acetone concentrations as low as 1 ppm. Operating at a low temperature of 60°C with a bias voltage of 4 V, the sensor exhibited excellent functionality even in high-humidity environments. Furthermore, it showed good repeatability, long-term stability, and fast response and recovery times of 23 ± 0.25 seconds and 18 ± 0.1 seconds, respectively. These characteristics make the sensor suitable for biomedical applications. Its flexibility and eco-friendly design further underscore its potential as a real-time breath analyzer for diabetes detection. The results of this study suggest a promising pathway for future clinical implementation of this technology.

Authors

Institutions

Publication Details

Journal
Carbohydrate Polymer Technologies and Applications
Published
2025-01-10
DOI
https://doi.org/10.1016/j.carpta.2025.100661
Citations
4
Primary Topic
Gas Sensing Nanomaterials and Sensors
Type
article
Field-Weighted Citation Impact
2.92

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Acetone gas sensor based on chitosan-metal-organic framework mixed matrix membranes for diabetes diagnosis

Ashraf Ali, Lamia A. Siddig, Shaikha S. Al Neyadi, Yaser E. Greish et al.
4 citations
Carbohydrate Polymer Technologies and Applications
Gas Sensing Nanomaterials and Sensors
2.92
article

Acetone gas sensor based on chitosan-metal-organic framework mixed matrix membranes for diabetes diagnosis

Ashraf Ali, Lamia A. Siddig, Shaikha S. Al Neyadi, Yaser E. Greish, Stefan Wuttke, Saleh T. Mahmoud
article en
4 citations

Abstract

Detecting diabetes in its early stages through non-invasive methods remains a major challenge for researchers. One promising approach involves the development of a rapid and sensitive chemiresistive sensor to measure acetone levels in exhaled breath-a potential biomarker for diabetes. In this study, we successfully fabricated a novel composite sensor comprising chitosan, a linear polysaccharide, combined with a metal-organic framework (UiO-66-NH2 MOF) and the ionic liquid glycerol. This combination enhances the film-forming properties of the material, leveraging the MOF's high surface area and selective adsorption capabilities for superior performance. The sensor was designed to detect acetone through chemiresistive sensing and demonstrated remarkable response to acetone concentrations as low as 1 ppm. Operating at a low temperature of 60°C with a bias voltage of 4 V, the sensor exhibited excellent functionality even in high-humidity environments. Furthermore, it showed good repeatability, long-term stability, and fast response and recovery times of 23 ± 0.25 seconds and 18 ± 0.1 seconds, respectively. These characteristics make the sensor suitable for biomedical applications. Its flexibility and eco-friendly design further underscore its potential as a real-time breath analyzer for diabetes detection. The results of this study suggest a promising pathway for future clinical implementation of this technology.

Carbohydrate Polymer Technologies and ApplicationsVol. 9
Khalifa University of Science and Technology (AE), United Arab Emirates University (AE), Basque Center for Materials, Applications and Nanostructures (ES), AGH University of Krakow (PL)
Zayed Bin Sultan Center for Health Sciences, United Arab Emirates University
Openalex Percentile: Top 10%
Gas Sensing Nanomaterials and Sensors
2.92
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.