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通过顶空 O 微需氧测量法进行早期伤口感染监测。

Early wound infection monitoring via headspace O micro-respirometry.

机构信息

School of Chemistry and Chemical Engineering, Queens University Belfast, Stranmillis Road, Belfast, BT9 5AG, UK.

School of Chemistry and Chemical Engineering, Queens University Belfast, Stranmillis Road, Belfast, BT9 5AG, UK.

出版信息

Biosens Bioelectron. 2025 Jan 1;267:116751. doi: 10.1016/j.bios.2024.116751. Epub 2024 Sep 5.

Abstract

A luminescence based, inexpensive, 3D printed O indicator is incorporated into a commercial, clear, occlusive wound dressing, which allows the %O in the headspace above a simulated wound to be monitored. Two wound models are used to evaluate this micro-respirometry-based system for monitoring wound infection namely, a simple 'agar plug' model and a wounded porcine skin model. Inoculation of either wound model with E. coli, E. cloacae, or A. baumannii, produces the typical 'S'-shaped, τ vs incubation time, t, profiles, associated with micro-respirometry, due to the decrease in %O in the headspace above the wound. A threshold value for the lifetime, τ, of 21.1 μs, is identified at which the bacterial load is equal to the critical colonization threshold, CCT, ca. 10 colony forming units, CFU/mL, above which infection is highly likely. The agar plug wound model/O indicator combination is used to identify when the CCT is reached for a wide range of inoculant concentrations, spanning the range 10-10 CFU/mL, for all three microbial species. The O indicator is also successfully evaluated using a porcine skin wound model inoculated with E. coli. The results of this work are compared to other reported, usually invasive, smart wound monitoring systems. The possible use of this new, non-invasive smart-wound dressing technology, both at the point of care and at home, are discussed briefly.

摘要

一种基于发光的、廉价的 3D 打印 O 指示剂被整合到一种商业的、透明的、闭塞性伤口敷料中,该敷料可以监测模拟伤口上方空间中的 %O。使用两种伤口模型来评估这种基于微呼吸测定的监测伤口感染的系统,即简单的“琼脂塞”模型和受伤的猪皮模型。将大肠杆菌、阴沟肠杆菌或鲍曼不动杆菌接种到任何一种伤口模型中,都会产生典型的“S”形 τ 与孵育时间 t 的关系曲线,这与微呼吸测定有关,因为伤口上方空间中的 %O 减少。τ 的寿命阈值为 21.1 μs,当细菌负荷等于临界定植阈值 CCT 时,即可识别出该阈值,约为 10 个菌落形成单位(CFU/mL),此时感染的可能性非常高。琼脂塞伤口模型/O 指示剂组合用于确定 CCT 何时达到,涵盖了所有三种微生物的接种浓度范围为 10-10 CFU/mL。该 O 指示剂还成功地用于接种大肠杆菌的猪皮伤口模型。将这些结果与其他报道的通常是侵入性的智能伤口监测系统进行了比较。简要讨论了这种新型非侵入性智能伤口敷料技术在护理点和家庭中的可能应用。

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