Breath visualization: Colorimetric detection of acetone gas using ion-pairing dyes based on hollow silica particles

Jae Jung Park, Jihyun Lee, Gye Hyeon Kim, Jung Hyun Kim, Hyun Sook Lee, Wooyoung Lee

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

The detection of over 200 volatile organic compounds in exhaled breath has highlighted their potential in diagnosing diseases and monitoring health. Particularly, acetone has emerged as a key biomarker for monitoring ketosis in both healthy individuals and those diagnosed with diabetes. Although equipment-based gas sensor systems such as high-performance liquid chromatography are commonly used for acetone gas detection, they are expensive and require preprocessing. To address these challenges, we developed a cost-effective colorimetric sensor that uses silica-based hollow nanoparticles (SHNPs) and offers enhanced selectivity. We fabricated spherical and uniformly sized SHNPs and infused them with methyl red and brilliant green (M–B ion-pairing dye) to develop colorimetric sensors for acetone gas detection. The optimal color change response occurred at a particle size of 52 ( ± 3.4) nm and shell thickness of 7 ( ± 1.1) nm within the SHNPs, indicative of a significant increase in surface area. Furthermore, the use of hollow silica with a water barrier effect protected the dye, enabling acetone gas detection even in environments with 80% relative humidity. Notably, a substantial color change (Δ130) was noticeable in only 1 min. This robust sensor enables sensitive and rapid naked-eye detection of low concentrations of acetone gas (1 ppm). Consequently, the proposed methodology holds promise for real-time visualization of acetone gas and can be easily integrated into other colorimetric gas sensor systems to enhance both sensitivity and simplicity.

Original languageEnglish
Article number135373
JournalSensors and Actuators B: Chemical
Volume406
DOIs
Publication statusPublished - 2024 May 1

Bibliographical note

Publisher Copyright:
© 2024 Elsevier B.V.

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Instrumentation
  • Condensed Matter Physics
  • Surfaces, Coatings and Films
  • Metals and Alloys
  • Electrical and Electronic Engineering
  • Materials Chemistry

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