Issue 10, 2023

A wearable colorimetric sweat pH sensor-based smart textile for health state diagnosis

Abstract

Sweat pH is an important indicator for diagnosing disease states, such as cystic fibrosis. However, conventional pH sensors are composed of large brittle mechanical parts and need additional instruments to read signals. These pH sensors have limitations for practical wearable applications. In this study, we propose wearable colorimetric sweat pH sensors based on curcumin and thermoplastic-polyurethane (C-TPU) electrospun-fibers to diagnose disease states by sweat pH monitoring. This sensor aids in pH monitoring by changing color in response to chemical structure variation from enol to di-keto form via H-atom separation. Its chemical structure variation changes the visible color due to light absorbance and reflectance changes. Furthermore, it can rapidly and sensitively detect sweat pH due to its superior permeability and wettability. By O2 plasma activation and thermal pressing, this colorimetric pH sensor can be easily attached to various fabric substrates such as swaddling and patient clothing via surface modification and mechanical interlocking of C-TPU. Furthermore, the diagnosable clothing is durable and reusable enough to neutral washing conditions due to the reversible pH colorimetric sensing performance by restoring the enol form of curcumin. This study contributes to the development of smart diagnostic clothing for cystic fibrosis patients who require continuous sweat pH monitoring.

Graphical abstract: A wearable colorimetric sweat pH sensor-based smart textile for health state diagnosis

Associated articles

Supplementary files

Article information

Article type
Communication
Submitted
06 mar. 2023
Accepted
12 jun. 2023
First published
13 jun. 2023

Mater. Horiz., 2023,10, 4163-4171

A wearable colorimetric sweat pH sensor-based smart textile for health state diagnosis

J. Ha, Y. Jeong, J. Ahn, S. Hwang, S. Jeon, D. Kim, J. Ko, B. Kang, Y. Jung, J. Choi, H. Han, J. Gu, S. Cho, H. Kim, M. Bok, S. A. Park, J. Jeong and I. Park, Mater. Horiz., 2023, 10, 4163 DOI: 10.1039/D3MH00340J

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