Department of Industrial Chemistry "Toso Montanari", University of Bologna, Viale Risorgimento 4, 40136 Bologna, Italy.
Department of Physics and Astronomy "Augusto Righi", University of Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy.
ACS Sens. 2023 Apr 28;8(4):1593-1608. doi: 10.1021/acssensors.2c02728. Epub 2023 Mar 17.
Hard-to-heal wounds (i.e., severe and/or chronic) are typically associated with particular pathologies or afflictions such as diabetes, immunodeficiencies, compression traumas in bedridden people, skin grafts, or third-degree burns. In this situation, it is critical to constantly monitor the healing stages and the overall wound conditions to allow for better-targeted therapies and faster patient recovery. At the moment, this operation is performed by removing the bandages and visually inspecting the wound, putting the patient at risk of infection and disturbing the healing stages. Recently, new devices have been developed to address these issues by monitoring important biomarkers related to the wound health status, such as pH, moisture, etc. In this contribution, we present a novel textile chemical sensor exploiting an organic electrochemical transistor (OECT) configuration based on poly(3,4-ethylenedioxythiophene):polystyrene sulfonate (PEDOT:PSS) for uric acid (UA)-selective monitoring in wound exudate. The combination of special medical-grade textile materials provides a passive sampling system that enables the real-time and non-invasive analysis of wound fluid: UA was detected as a benchmark analyte to monitor the health status of wounds since it represents a relevant biomarker associated with infections or necrotization processes in human tissues. The sensors proved to reliably and reversibly detect UA concentration in synthetic wound exudate in the biologically relevant range of 220-750 μM, operating in flow conditions for better mimicking the real wound bed. This forerunner device paves the way for smart bandages integrated with real-time monitoring OECT-based sensors for wound-healing evaluation.
难以愈合的伤口(即严重和/或慢性)通常与特定的病理或疾病有关,如糖尿病、免疫缺陷、卧床患者的压缩性创伤、皮肤移植或三度烧伤。在这种情况下,必须不断监测愈合阶段和整体伤口状况,以便进行更有针对性的治疗和更快的患者康复。目前,该操作是通过去除绷带并目视检查伤口来进行的,这使患者面临感染风险并干扰愈合阶段。最近,已经开发出一些新的设备来解决这些问题,通过监测与伤口健康状况相关的重要生物标志物,如 pH 值、水分等。在本研究中,我们提出了一种基于聚(3,4-乙撑二氧噻吩):聚苯乙烯磺酸盐(PEDOT:PSS)的有机电化学晶体管(OECT)结构的新型纺织化学传感器,用于在伤口渗出物中选择性监测尿酸(UA)。特殊的医疗级纺织材料的组合提供了一种被动采样系统,使伤口液的实时和非侵入性分析成为可能:UA 被检测为基准分析物,以监测伤口的健康状况,因为它代表了与人体组织中的感染或坏死过程相关的相关生物标志物。该传感器被证明能够在 220-750 μM 的生物相关范围内可靠且可逆地检测合成伤口渗出液中的 UA 浓度,在流动条件下操作,以更好地模拟真实的伤口床。该先驱设备为集成了基于 OECT 的实时监测传感器的智能绷带铺平了道路,用于伤口愈合评估。