2023 article
A Miniaturized, Battery-Free, Wireless Wound Monitor That Predicts Wound Closure Rate Early
Garland, N. T., Song, J. W., Ma, T., Kim, Y. J., Vazquez-Guardado, A., Hashkavayi, A. B., … Bandodkar, A. J. (2023, July 21). ADVANCED HEALTHCARE MATERIALS.
author keywords: chronic wounds; diabetic ulcers; lactate sensing; wireless electronics; wound sensing
TL;DR:
A miniaturized, wireless, battery‐free wound monitor that measures lactate in real‐time and seamlessly integrates with bandages for conformal attachment to the wound bed is introduced, highlighting the significance of monitoring biomarkers during the inflammation phase.
(via Semantic Scholar)
open access via onlinelibrary.wiley.com (publisher PDF)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science; OpenAlex)
Source: Web Of Science
Added: August 7, 2023
AbstractDiabetic foot ulcers are chronic wounds that affect millions and increase the risk of amputation and mortality, highlighting the critical need for their early detection. Recent demonstrations of wearable sensors enable real‐time wound assessment, but they rely on bulky electronics, making them difficult to interface with wounds. Herein, a miniaturized, wireless, battery‐free wound monitor that measures lactate in real‐time and seamlessly integrates with bandages for conformal attachment to the wound bed is introduced. Lactate is selected due to its multifaceted role in initiating healing. Studies in healthy and diabetic mice reveal distinct lactate profiles for normal and impaired healing wounds. A mathematical model based on the sensor data predicts wound closure rate within the first 3 days post‐injury with ≈76% accuracy, which increases to ≈83% when pH is included. These studies underscore the significance of monitoring biomarkers during the inflammation phase, which can offer several benefits, including short‐term use of wound monitors and their easy removal, resulting in lower risks of injury and infection at the wound site. Improvements in prediction accuracy can be achieved by designing mathematical models that build on multiple wound parameters such as pro‐inflammatory and metabolic markers. Achieving this goal will require designing multi‐analyte wound monitors.