MOF-Derived ZnO Thin Films with Uniformly Dispersed Pt Nanoparticles for High-Performance Acetone Detection
Hessah Alharbi1,2, Suad Alghamdi3, Amal L Al-Otaibi1,4
1Department of Physics, College of Science, Qassim University, 52571 Buraydah, Saudi Arabia.
This study developed a highly sensitive platinum-functionalized zinc oxide sensor for detecting acetone, a key biomarker for diabetes. The novel MOF-derived sensor achieves low detection limits and excellent stability for noninvasive metabolic disorder diagnosis.
Area of Science:
- Materials Science
- Nanotechnology
- Chemical Sensing
Background:
- Acetone in exhaled breath is a vital biomarker for diagnosing diabetes and metabolic disorders.
- Detecting low acetone concentrations is challenging due to interference from other volatile compounds.
- High surface area, uniform nanostructure, and catalytic surface decoration are crucial for effective acetone sensors.
Purpose of the Study:
- To synthesize platinum (Pt)-functionalized zinc oxide (ZnO) thin films derived from metal-organic frameworks (MOFs).
- To engineer these films for highly sensitive and selective detection of low-concentration acetone.
- To optimize sensor performance through controlled Pt nanoparticle decoration.
Main Methods:
- Fabrication of compact ZnO thin films via DC sputtering.
- In situ growth of Zeolitic Imidazolate Framework-8 (ZIF-8) on ZnO using a solution approach.
- Transformation of ZIF-8 into porous ZnO (D.ZnO) via heat treatment.
- Sputtering of D.ZnO surfaces with varying Pt nanoparticle thicknesses.
Main Results:
- The optimized Pt-functionalized ZnO sensor demonstrated a low detection limit of 0.5 ppm with a sensitivity (S) of 55%.
- The sensor exhibited excellent long-term stability over 90 days.
- Good selectivity for acetone detection was achieved.
Conclusions:
- Pt-functionalized ZnO derived from MOFs offers a promising platform for highly sensitive and selective acetone detection.
- The developed sensor shows potential for noninvasive diagnosis of diabetes and metabolic disorders.
- The synthesis and optimization strategy provides a pathway for advanced chemical sensor development.
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