Issue 55, 2022

Reversible colorimetric sensing of volatile analytes by wicking in close proximity to a photonic film

Abstract

Isolation of volatile analytes from environmental or biological fluids is a rate-determining step that can delay the response time for continuous sensing. In this paper, we demonstrate a colorimetric sensing system that enables the rapid detection of gas-phase analytes released from a flowing micro-volume fluid sample. The sensor platform is an analyte-responsive metal-insulator-metal (MIM) thin-film structure integrated with a large area quartz micropillar array. This allows precise planar alignment and microscale separation (310 μm) of the optical and fluidic structures. This configuration offers rapid and homogeneous color changes over large areas that permits detection by low-resolution optics or eye, which is well-suited to portable/wearable devices. For our proof-of-principle demonstration, we utilized a poly(methyl methacrylate) (PMMA) spacer and evaluated the sensor's response (color change) to ethanol vapor. We show that the RGB color value is quantitatively linked to the spacer swelling, which is reversible and repeatable. The optofluidic platform reduces the sensor response time from minutes to seconds compared with experiments using a conventional chamber. The sensor's concentration-dependent response was examined, confirming the potential of the reported sensing platform for continuous, compact, and quantitative colorimetric analysis of volatile analytes in low-volume samples, such as biofluids.

Graphical abstract: Reversible colorimetric sensing of volatile analytes by wicking in close proximity to a photonic film

Supplementary files

Article information

Article type
Paper
Submitted
25 Oct 2022
Accepted
17 Nov 2022
First published
16 Dec 2022
This article is Open Access
Creative Commons BY-NC license

RSC Adv., 2022,12, 36150-36157

Reversible colorimetric sensing of volatile analytes by wicking in close proximity to a photonic film

T. J. Palinski, B. Guan, B. H. Bradshaw-Hajek, M. A. Lienhard, C. Priest and F. A. Miranda, RSC Adv., 2022, 12, 36150 DOI: 10.1039/D2RA06740D

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