# A Microsphere-Based Sensor for Point-of-Care and Non-Invasive Acetone Detection

**Authors:** Oscar Osorio Perez, Ngan Anh Nguyen, Landon Denham, Asher Hendricks, Rodrigo E. Dominguez, Eun Ju Jeong, Marcio S. Carvalho, Mateus Lima, Jarrett Eshima, Nanxi Yu, Barbara Smith, Shaopeng Wang, Doina Kulick, Erica Forzani

PMC · DOI: 10.3390/bios15070429 · 2025-07-03

## TL;DR

This paper introduces a new sensor for detecting acetone in body fluids, which could help monitor metabolic health and diseases non-invasively.

## Contribution

A novel microsphere-based colorimetric sensor for selective and stable acetone detection is developed and validated.

## Key findings

- The sensor shows high selectivity for acetone with minimal CO2 interference.
- The sensor's performance correlates well with GC-MS, with a strong linear fit and high adjusted R-squared value.

## Abstract

Ketones, which are key biomarkers of fat oxidation, are relevant for metabolic health maintenance and disease development, making continuous monitoring essential. In this study, we introduce a novel colorimetric sensor designed for potential continuous acetone detection in biological fluids. The sensor features a polydimethylsiloxane (PDMS) shell that encapsulates a sensitive and specific liquid-core acetone-sensing probe. The microsphere sensors were characterized by evaluating their size, PDMS shell thickness, colorimetric response, and sensitivity under realistic conditions, including 100% relative humidity (RH) and CO2 interference. The microsphere size and sensor sensitivity can be controlled by modifying the fabrication parameters. Critically, the sensor showed high selectivity for acetone detection, with negligible interference from CO2 concentrations up to 4%. In addition, the sensor displayed good reproducibility (CV < 5%) and stability under realistic storage conditions (over two weeks at 4 °C). Finally, the accuracy of the microsphere sensor was validated against a gold standard gas chromatography-mass spectrometry (GC-MS) method using simulated and real breath samples from healthy individuals and type 1 diabetes patients. The correlation between the microsphere sensor and GC-MS produced a linear fit with a slope of 0.948 and an adjusted R-squared value of 0.954. Therefore, the liquid-core microsphere-based sensor is a promising platform for acetone body fluid analysis.

## Linked entities

- **Chemicals:** acetone (PubChem CID 180), CO2 (PubChem CID 280)
- **Diseases:** type 1 diabetes (MONDO:0005147)

## Full-text entities

- **Diseases:** type 1 diabetes (MESH:D003922)
- **Chemicals:** Acetone (MESH:D000096), Ketones (MESH:D007659), PDMS (MESH:C013830), CO2 (MESH:D002245)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Figures

9 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12293801/full.md

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Source: https://tomesphere.com/paper/PMC12293801