{"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. 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":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biosensors and Bioelectronics","FirstCategoryId":"1","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0956566324007577","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOPHYSICS","Score":null,"Total":0}
引用次数: 0
Abstract
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.