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一种集成微通道增强采样和多重生化检测的智能半植入式设备,用于深部伤口监测和病原体鉴定。

A Smart Semi-Implantable Device Integrating Microchannel-Enhanced Sampling and Multiplex Biochemical Testing for Deep Wound Monitoring and Pathogen Identification.

作者信息

Li Qilin, Wei Chunyu, Xu Luming, Zhang Jiao, Li Yuyu, Lu Xiaohuan, Xu Rengui, Guo Honglian, Cao Peng, Ouyang Chenke, Xu Jiarong, Chen Wei, Wang Zheng, Wang Lin

机构信息

Department of Clinical Laboratory, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.

Hubei Key Laboratory of Regenerative Medicine and Multi-disciplinary Translational Research, Hubei Provincial Engineering Research Center of Clinical Laboratory and Active Health Smart Equipment, Research Center for Tissue Engineering and Regenerative Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.

出版信息

Adv Sci (Weinh). 2025 Feb;12(8):e2407868. doi: 10.1002/advs.202407868. Epub 2024 Dec 31.

Abstract

Monitoring deep wounds is challenging but necessary for high-quality medical treatment. Current methodologies for deep wound monitoring are typically limited to indirect clinical symptoms or costly non-real-time imaging diagnosis. Herein, a smart system is proposed that enables in situ monitoring of deep wounds' status through a semi-implantable device composed of 2 seamlessly connected functional components: 1) the well-designed, microchannel-structured sampling needles that efficiently and conveniently collect samples from deep wound anatomical locations, and 2) the multiplex biochemical testing compartment that facilitates the immediate and persistent detection of multiple biochemical indicators based on a color image processing software accessible to a conventional smartphone. With the 3 representative preclinical deep wound models, the study demonstrates the device's potential to monitor wound infection, inflammation, healing progress, and reduce inflammation when applied to deep skin injury, surgical implantation, and postoperative intestinal leakage. The device's capability to rapidly and accurately identify pathogenic bacteria is also demonstrated both in vitro and in vivo, potentially facilitating precise intervention in infected wounds. Coupled with the device's favorable biocompatibility and cost-effectiveness, this intelligent system emerges as a promising tool for safe and effective management of complicated deep wounds.

摘要

监测深部伤口具有挑战性,但对于高质量医疗而言是必要的。当前深部伤口监测方法通常局限于间接临床症状或昂贵的非实时成像诊断。在此,提出了一种智能系统,该系统能够通过一个由两个无缝连接的功能组件组成的半植入式设备对深部伤口状况进行原位监测:1)精心设计的微通道结构采样针,可高效便捷地从深部伤口解剖位置采集样本;2)多重生化检测隔室,基于传统智能手机可访问的彩色图像处理软件,便于对多种生化指标进行即时和持续检测。通过3种具有代表性的临床前深部伤口模型,该研究证明了该设备在监测伤口感染、炎症、愈合进程以及应用于深部皮肤损伤、手术植入和术后肠漏时减轻炎症方面的潜力。该设备在体外和体内均展示了快速准确识别病原菌的能力,这可能有助于对感染伤口进行精准干预。再加上该设备良好的生物相容性和成本效益,这种智能系统成为安全有效管理复杂深部伤口的一种有前景的工具。

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