{"title":"通过顶空氧气微呼吸监测早期伤口感染。","authors":"","doi":"10.1016/j.bios.2024.116751","DOIUrl":null,"url":null,"abstract":"<div><p>A luminescence based, inexpensive, 3D printed O<sub>2</sub> indicator is incorporated into a commercial, clear, occlusive wound dressing, which allows the %O<sub>2</sub> 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 <em>E. coli</em>, <em>E. cloacae</em>, or <em>A. baumannii</em>, produces the typical ‘S’-shaped, τ vs incubation time, <em>t</em>, profiles, associated with micro-respirometry, due to the decrease in %O<sub>2</sub> in the headspace above the wound. A threshold value for the lifetime, τ<sub>TT</sub>, of 21.1 μs, is identified at which the bacterial load is equal to the critical colonization threshold, CCT, ca. 10<sup>6</sup> colony forming units, CFU/mL, above which infection is highly likely. The agar plug wound model/O<sub>2</sub> indicator combination is used to identify when the CCT is reached for a wide range of inoculant concentrations, spanning the range 10<sup>8</sup>–10<sup>1</sup> CFU/mL, for all three microbial species. The O<sub>2</sub> indicator is also successfully evaluated using a porcine skin wound model inoculated with <em>E. coli</em>. 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.</p></div>","PeriodicalId":259,"journal":{"name":"Biosensors and Bioelectronics","volume":null,"pages":null},"PeriodicalIF":10.7000,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0956566324007577/pdfft?md5=cce9236f09e3fc8645f131c7de07319e&pid=1-s2.0-S0956566324007577-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Early wound infection monitoring via headspace O2 micro-respirometry\",\"authors\":\"\",\"doi\":\"10.1016/j.bios.2024.116751\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>A luminescence based, inexpensive, 3D printed O<sub>2</sub> indicator is incorporated into a commercial, clear, occlusive wound dressing, which allows the %O<sub>2</sub> 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 <em>E. coli</em>, <em>E. cloacae</em>, or <em>A. baumannii</em>, produces the typical ‘S’-shaped, τ vs incubation time, <em>t</em>, profiles, associated with micro-respirometry, due to the decrease in %O<sub>2</sub> in the headspace above the wound. A threshold value for the lifetime, τ<sub>TT</sub>, of 21.1 μs, is identified at which the bacterial load is equal to the critical colonization threshold, CCT, ca. 10<sup>6</sup> colony forming units, CFU/mL, above which infection is highly likely. The agar plug wound model/O<sub>2</sub> indicator combination is used to identify when the CCT is reached for a wide range of inoculant concentrations, spanning the range 10<sup>8</sup>–10<sup>1</sup> CFU/mL, for all three microbial species. The O<sub>2</sub> indicator is also successfully evaluated using a porcine skin wound model inoculated with <em>E. coli</em>. The results of this work are compared to other reported, usually invasive, smart wound monitoring systems. 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引用次数: 0
摘要
一种基于发光的、廉价的 3D 打印氧气指示器被集成到一种商用透明闭塞性伤口敷料中,从而可以监测模拟伤口上方顶空中的氧气百分比。我们使用了两种伤口模型来评估这种基于微呼吸测定法的伤口感染监测系统,即简单的 "琼脂塞 "模型和受伤的猪皮肤模型。将大肠杆菌、泄殖腔杆菌或鲍曼不动杆菌接种到这两种伤口模型中,会产生典型的 "S "形、τ 与孵育时间 t 的关系曲线,这与微呼吸监测有关,是由于伤口上方顶空气中的二氧化氮含量减少所致。寿命τTT 的阈值为 21.1 μs,在此阈值下,细菌量等于临界定植阈值 CCT(约 106 菌落总数/毫升),超过此值就极有可能发生感染。琼脂塞伤口模型/O2 指示剂组合可用于确定在接种剂浓度范围很广(108-101 CFU/mL)的情况下,所有三种微生物何时达到临界定植阈值。还使用接种了大肠杆菌的猪皮肤伤口模型成功评估了氧气指示剂。这项工作的结果与其他已报道的(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无创智能伤口敷料技术在护理点和家庭中的可能用途。
Early wound infection monitoring via headspace O2 micro-respirometry
A luminescence based, inexpensive, 3D printed O2 indicator is incorporated into a commercial, clear, occlusive wound dressing, which allows the %O2 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 %O2 in the headspace above the wound. A threshold value for the lifetime, τTT, of 21.1 μs, is identified at which the bacterial load is equal to the critical colonization threshold, CCT, ca. 106 colony forming units, CFU/mL, above which infection is highly likely. The agar plug wound model/O2 indicator combination is used to identify when the CCT is reached for a wide range of inoculant concentrations, spanning the range 108–101 CFU/mL, for all three microbial species. The O2 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.
期刊介绍:
Biosensors & Bioelectronics, along with its open access companion journal Biosensors & Bioelectronics: X, is the leading international publication in the field of biosensors and bioelectronics. It covers research, design, development, and application of biosensors, which are analytical devices incorporating biological materials with physicochemical transducers. These devices, including sensors, DNA chips, electronic noses, and lab-on-a-chip, produce digital signals proportional to specific analytes. Examples include immunosensors and enzyme-based biosensors, applied in various fields such as medicine, environmental monitoring, and food industry. The journal also focuses on molecular and supramolecular structures for enhancing device performance.