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基于细胞印迹聚合物涂层的微丝的微流控传感器用于水中细菌的电导检测。

Microfluidic Sensor Based on Cell-Imprinted Polymer-Coated Microwires for Conductometric Detection of Bacteria in Water.

机构信息

Department of Mechanical Engineering, York University, Toronto, ON M3J 1P3, Canada.

Sixth Wave Innovations Inc., Halifax, NS B4A 0H3, Canada.

出版信息

Biosensors (Basel). 2023 Oct 20;13(10):943. doi: 10.3390/bios13100943.

DOI:10.3390/bios13100943
PMID:37887136
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10605092/
Abstract

The rapid, inexpensive, and on-site detection of bacterial contaminants using highly sensitive and specific microfluidic sensors is attracting substantial attention in water quality monitoring applications. Cell-imprinted polymers (CIPs) have emerged as robust, cost-effective, and versatile recognition materials with selective binding sites for capturing whole bacteria. However, electrochemical transduction of the binding event to a measurable signal within a microfluidic device to develop easy-to-use, compact, portable, durable, and affordable sensors remains a challenge. For this paper, we employed CIP-functionalized microwires (CIP-MWs) with an affinity towards and integrated them into a low-cost microfluidic sensor to measure the conductometric transduction of CIP-bacteria binding events. The sensor comprised two CIP-MWs suspended perpendicularly to a PDMS microchannel. The inter-wire electrical resistance of the microchannel was measured before, during, and after exposure of CIP-MWs to bacteria. A decline in the inter-wire resistance of the sensor after 30 min of incubation with bacteria was detected. Resistance change normalization and the subsequent analysis of the sensor's dose-response curve between 0 to 10 CFU/mL bacteria revealed the limits of detection and quantification of 2.1 × 10 CFU/mL and 7.3 × 10 CFU/mL, respectively. The dynamic range of the sensor was 10 to 10 CFU/mL where the bacteria counts were statistically distinguishable from each other. A linear fit in this range resulted in a sensitivity of 7.35 μS per CFU/mL. Experiments using competing or cells showed specificity of the sensor towards the imprinted cells. The reported CIP-MW-based conductometric microfluidic sensor can provide a cost-effective, durable, portable, and real-time solution for the detection of pathogens in water.

摘要

使用高度灵敏和特异的微流控传感器快速、廉价、现场检测细菌污染物,这在水质监测应用中引起了极大的关注。细胞印迹聚合物(CIP)作为一种强大、经济高效且多功能的识别材料,具有用于捕获整个细菌的选择性结合位点,已经崭露头角。然而,将结合事件电化学转化为微流控装置内可测量的信号,以开发易于使用、紧凑、便携、耐用且价格合理的传感器仍然是一个挑战。在本文中,我们采用了对 具有亲和力的 CIP 功能化的 microwires(CIP-MWs),并将其集成到低成本微流控传感器中,以测量 CIP-细菌结合事件的电导转换。该传感器由两个垂直悬挂在 PDMS 微通道上的 CIP-MWs 组成。在 CIP-MWs 暴露于细菌之前、期间和之后,测量微通道的线间电阻。在与细菌孵育 30 分钟后,检测到传感器的线间电阻下降。通过对传感器在 0 至 10 CFU/mL 细菌之间的剂量-反应曲线进行归一化和后续分析,检测到检测限和定量限分别为 2.1×10 CFU/mL 和 7.3×10 CFU/mL。传感器的动态范围为 10 至 10 CFU/mL,其中细菌计数彼此之间可统计区分。在该范围内进行线性拟合,得到的灵敏度为 7.35 μS/每 CFU/mL。使用竞争的 或 细胞进行的实验表明,该传感器对印迹的 细胞具有特异性。所报道的基于 CIP-MW 的电导微流控传感器可以为水中病原体的检测提供一种经济高效、耐用、便携和实时的解决方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ff0/10605092/3834465ae31d/biosensors-13-00943-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ff0/10605092/f9bc5d18a536/biosensors-13-00943-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ff0/10605092/591653254c88/biosensors-13-00943-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ff0/10605092/2d605aa689b5/biosensors-13-00943-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ff0/10605092/d39d4ae42363/biosensors-13-00943-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ff0/10605092/03cdcd8222c2/biosensors-13-00943-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ff0/10605092/3834465ae31d/biosensors-13-00943-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ff0/10605092/f9bc5d18a536/biosensors-13-00943-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ff0/10605092/591653254c88/biosensors-13-00943-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ff0/10605092/2d605aa689b5/biosensors-13-00943-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ff0/10605092/d39d4ae42363/biosensors-13-00943-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ff0/10605092/03cdcd8222c2/biosensors-13-00943-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ff0/10605092/3834465ae31d/biosensors-13-00943-g006.jpg

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