非接触式阻抗光谱法实时监测现成实验室仪器的细菌活性。

IF 3.4 3区 综合性期刊 Q2 CHEMISTRY, ANALYTICAL
Sensors Pub Date : 2025-04-11 DOI:10.3390/s25082427
Carsten Thirstrup, Ole Stender Nielsen, Mikael Lassen, Thomas Emil Andersen, Hüsnü Aslan
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引用次数: 0

摘要

监测细菌活性对于许多科学和工业应用是必不可少的。然而,目前的基准测量,即光密度(OD),表现出有限的动态范围,并且需要透明或半透明的介质。传统的阻抗谱涉及到电极与细菌培养基或生物膜的直接接触,这可能会干扰样品环境并影响测量保真度。此外,许多实时方法依赖于昂贵的专用实验室软件,这限制了可扩展性和通用性。在这里,我们介绍了一种非接触阻抗谱(NCIS)技术,该技术具有可定制的电极,用于现成的实验室软件,并表明从KCl溶液系列中收集的数据与最简单的电解电导率电池模型溶液吻合良好,证明了NCIS的准确性和简单性。作为细菌活性监测的一个例子,NCIS是在玻璃实验室瓶和24孔板中进行的,其中表皮葡萄球菌和大肠杆菌培养物接种于37℃的脑心输注培养基中。从同一介质间歇获取的相对外径测量结果显示NCIS和外径数据之间存在很强的相关性,证实了可靠性和可重复性。利用机器学习辅助的拉曼光谱对细菌培养进行验证。NCIS消除了污染和样品更改的风险,最大限度地降低了成本和操作复杂性,并为生物和化学研究提供了可扩展的通用解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Non-Invasive Real-Time Monitoring of Bacterial Activity by Non-Contact Impedance Spectroscopy for Off-the-Shelf Labware.

Monitoring bacterial activity is essential for numerous scientific and industrial applications. However, current benchmark measurements, i.e., optical density (OD), exhibit a limited dynamic range and require transparent or translucent media. Conventional impedance spectroscopy involves direct electrode contact with the bacterial medium or biofilm, potentially perturbing the sample environment and compromising measurement fidelity. Moreover, many real-time methods rely on costly, specialized labware that limits scalability and versatility. Here, we introduce a non-contact impedance spectroscopy (NCIS) technique with customizable electrodes for off-the-shelf labware and show that the data collected from a KCl solution series agree well with the simplest electrolytic conductivity cell model solution, demonstrating the accuracy and simplicity of NCIS. As an example of bacterial activity monitoring, NCIS was performed in glass laboratory bottles and 24-well plates in which Staphylococcus epidermidis and Escherichia coli cultures were inoculated into Brain Heart Infusion media, maintained at 37 °C. Comparative OD measurements acquired intermittently from the same media exhibited a strong correlation between NCIS and OD data, confirming reliability and reproducibility. The bacterial culture was verified by Raman spectroscopy assisted by machine learning. NCIS eliminates the risks of contamination and sample alteration, minimizing costs and operational complexity and providing a scalable, versatile solution for biological and chemical research.

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来源期刊
Sensors
Sensors 工程技术-电化学
CiteScore
7.30
自引率
12.80%
发文量
8430
审稿时长
1.7 months
期刊介绍: Sensors (ISSN 1424-8220) provides an advanced forum for the science and technology of sensors and biosensors. It publishes reviews (including comprehensive reviews on the complete sensors products), regular research papers and short notes. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced.
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