Holographic hydrogel bandage sensor for continual monitoring of wound healing

Abstract

Chronic wounds pose serious health and economic challenges. A low calcium (Ca2+) ion concentration during the early stage often indicates infections. Holographic hydrogel sensors offer label-free sensing platforms, providing real-time and continuous detections of analytes upon diffractive wavelength changes detectable by the naked eye or spectrophotometers, improving the Ca2+ ion concentration quantification accessibility. Herein, we present a holographic Ca2+ ion bandage sensor using carboxylate-containing hydrogels on polydimethylsiloxane (PDMS) substrates for real-time wound-healing assessment through smartphone readout. Simulations are conducted to investigate the effects of mechanical strength on sensitivity. The holographic Ca2+ ion sensor replays blueshifts of 35 nm (hue value change of 7) with 0–4 mmol L−1 Ca2+ ions, changing colors from dark red to red within 7 minutes. It can accurately and stably (over 24 hours) measure Ca2+ ions when bent. The stiffness of PDMS was tuned to balance comfort and sensitivity. In point-of-care settings, holographic bandage sensors, comprising the holographic hydrogel sensor, a backing layer, and a dark cotton layer, can continuously monitor Ca2+ ions over 10 hours via a smartphone application using hue values. A guiding square in the application assists users in capturing pictures within the inherently narrow viewing angle range of 20–33°. This holographic Ca2+ ion bandage sensor facilitates personalized wound assessment through colorimetric interrogation via smartphone readout.

Graphical abstract: Holographic hydrogel bandage sensor for continual monitoring of wound healing

Supplementary files

Article information

Article type
Paper
Submitted
27 Mar 2025
Accepted
13 Jun 2025
First published
02 Jul 2025
This article is Open Access
Creative Commons BY license

Sens. Diagn., 2025, Advance Article

Holographic hydrogel bandage sensor for continual monitoring of wound healing

Y. Zhang, Y. Hu, Z. Zhu, Y. Montelongo, Y. Liu, S. Waqar, Y. S. Park, L. C. Chan, N. Jiang and A. K. Yetisen, Sens. Diagn., 2025, Advance Article , DOI: 10.1039/D5SD00047E

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