Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, 27606, USA.
Center for Advanced Self-Powered Systems of Integrated Sensors and Technologies(ASSIST), North Carolina State University, Raleigh, NC, 27606, USA.
Adv Healthc Mater. 2023 Nov;12(28):e2301280. doi: 10.1002/adhm.202301280. Epub 2023 Jul 21.
Diabetic 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.
糖尿病足溃疡是一种慢性伤口,影响着数百万人,并增加了截肢和死亡的风险,这凸显了早期发现这些伤口的迫切需求。最近,可穿戴传感器的演示表明可以实时评估伤口,但它们依赖于庞大的电子设备,这使得它们很难与伤口接口。在此,介绍了一种微型、无线、无电池的伤口监测器,它可以实时测量乳酸盐,并与绷带无缝集成,以贴合伤口床。选择乳酸盐是因为它在启动愈合过程中具有多方面的作用。在健康和糖尿病小鼠中的研究揭示了正常和受损愈合伤口的不同乳酸盐特征。基于传感器数据的数学模型可以在受伤后 3 天内预测伤口闭合率,准确度约为 76%,当包含 pH 值时,准确度提高到约 83%。这些研究强调了在炎症阶段监测生物标志物的重要性,这可以带来多种好处,包括短期使用伤口监测器及其易于移除,从而降低伤口部位受伤和感染的风险。通过设计基于促炎和代谢标志物等多个伤口参数的数学模型,可以提高预测精度。要实现这一目标,需要设计多分析物伤口监测器。