Rapidly Detected Common Wound Pathogens via Easy-to-Use Electrochemical Sensors

A. Hannah, A. C. Ward, P. Connolly
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Abstract

The detection of infection in clinical practice is time consuming and laborious. The ability to monitor infection status in real time, for example in wounds, would enable earlier intervention and improved prognosis. This study describes the real time electrochemical detection of clinically important wound pathogens. Using impedance spectroscopy in conjunction with a normalisation approach, the growth of Proteus mirabilis in LB medium was detected 1 hour after sample inoculation at a cell concentration of 7.4 x106 CFU/mL. Furthermore, a significant decrease in charge transfer resistance arose over the 24 hour growth period (p = 0.009), modelled using a simple equivalent circuit. Additional experiments performed in 0.9% w/v NaCl (where growth was inhibited) indicated that processes facilitated by this organism’s metabolism and growth dominated the impedance response in LB medium. Further, immediate detection of a high concentration of P. mirabilis cells was possible (5.0 x108 CFU/mL). Finally, a simulated wound fluid was used to explore the growths of P. mirabilis, Pseudomonas aeruginosa and Staphylococcus aureus in a more complex environment representative of a wound bed. Similar changes to normalised impedance were observed, and decreases in normalised phase emerged as a characteristic indicator of bacterial growth. The ability of these low cost sensors to rapidly detect bacteria highlights their potential for adoption into point-of-care infection monitoring devices.
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通过易于使用的电化学传感器快速检测常见伤口病原体
在临床实践中检测感染是费时费力的。实时监测感染状况的能力,例如在伤口,将使早期干预和改善预后成为可能。本研究描述了临床重要伤口病原体的实时电化学检测。采用阻抗谱法结合归一化方法,在7.4 x106 CFU/mL的细胞浓度下,接种样品1小时后检测奇异变形杆菌在LB培养基中的生长情况。此外,在24小时的生长期间,电荷转移电阻显著降低(p = 0.009),使用简单的等效电路建模。在0.9% w/v NaCl(生长受到抑制)条件下进行的其他实验表明,这种生物的代谢和生长促进的过程主导了LB培养基中的阻抗响应。此外,可以立即检测到高浓度的P. mirabilis细胞(5.0 x108 CFU/mL)。最后,利用模拟的伤口液来探索神奇假单胞菌、铜绿假单胞菌和金黄色葡萄球菌在更复杂的伤口床环境中的生长情况。观察到与归一化阻抗相似的变化,并且在归一化阶段的减少作为细菌生长的特征指标出现。这些低成本传感器快速检测细菌的能力突出了它们在医疗点感染监测设备中的应用潜力。
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