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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.

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Summary
This summary is machine-generated.

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.

Keywords:
AcetoneAmperometryCyclic voltammetryElectrochemistryEnzymaticNafionSensor

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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.