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A solid state electrolyte based enzymatic acetone sensor
Yusra M Obeidat1, Nour Bany Hamad2, Abdel Monem Rawashdeh3
1Department of Electronics Engineering, Hijjawi Faculty for Engineering Technology, Yarmouk University, Irbid, Jordan. Yusra.obeidat@yu.edu.jo.
Scientific Reports
|July 4, 2024
Summary
This study presents a novel enzymatic sensor for detecting acetone in liquid and vapor states. The optimized four-layer sensor design (N+N+E+N) demonstrates high sensitivity and a low detection limit for breath acetone analysis.
Area of Science:
- Electrochemistry
- Biosensors
- Materials Science
Background:
- Acetone detection is crucial for medical diagnostics, particularly for monitoring metabolic states.
- Existing acetone sensors face challenges in sensitivity, selectivity, and real-world applicability.
- Solid-state electrolyte-based enzymatic sensors offer a promising platform for improved acetone detection.
Purpose of the Study:
- To develop and optimize a novel solid-state electrolyte-based enzymatic sensor for acetone detection.
- To evaluate the performance of various surface modifications for enhanced sensing capabilities.
- To assess the sensor's suitability for breath acetone analysis.
Main Methods:
- Utilized disposable screen-printed electrodes with platinum and silver components.
- Employed cyclic voltammetry and amperometry for acetone concentration measurements.
- Investigated four distinct surface modifications using Nafion (N) and enzyme (E) layers (N+E, N+E+N, N+N+E, N+N+E+N).
Main Results:
- The sensor demonstrated high sensitivity and linearity (R² 0.92–0.98) for acetone in liquid and vapor phases (1 µM–25 mM).
- Achieved a rapid response time of 30–50 seconds and a low limit of detection of 0.03 µM.
- The four-layer modification (N+N+E+N) yielded optimal sensor performance.
Conclusions:
- The developed solid-state electrolyte-based enzymatic sensor is effective for acetone detection.
- The N+N+E+N surface modification significantly enhances sensor linearity, sensitivity, and detection limit.
- This optimized sensor shows potential for non-invasive breath acetone monitoring.

