Cost-effective flow-through nanohole array-based biosensing platform for the label-free detection of uropathogenic E. coli in real time

Cost-effective flow-through nanohole array-based biosensing platform for the label-free detection of uropathogenic E. coli in real time
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DOI:
10.1016/j.bios.2018.01.055
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发表时间:
2018-05-30
影响因子:
12.6
通讯作者:
Escobedo, Carlos
Escobedo, Carlos
中科院分区:
工程技术1区
文献类型:
--
作者:
Gomez-Cruz, Juan;Nair, Srijit;Escobedo, Carlos

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尿路致病性大肠杆菌(UPEC)是包括膀胱炎和肾盂肾炎在内的上行尿路感染(UTIs)的常见病因,鉴于其在世界范围内的病例和复发率不断增加,快速、廉价和敏感的检测至关重要。在本文中,我们提出了一个无标签的纳米等离子体传感平台,该平台使用现成的光学和电子元件构建,可以实时检测浓度低于UTI诊断生理极限的完整UPEC。传感平台由红色LED光源、透镜组件、CMOS探测器、树莓派接口与金属流通过纳米孔阵列传感器共轭组成。利用表面等离子体共振成像(SPRi)技术,利用纳米孔阵列中的纳米等离子体现象实现了检测。该平台的整体灵敏度为212像素强度单位(PIU)/折射率单位(RIU),分辨率为10(-6)RIU。我们展示了UPEC的捕获和检测,其检测限类似于100 CFU/ml -远低于临床样品中UTI诊断的阈值限制。我们还展示了UPEC在两种不同浓度细菌的加标人尿液样本中的检测。这项工作与即时护理应用特别相关,特别是对于世界各地医疗设施的可及性严重依赖于经济和可用性的地区。
Rapid, inexpensive and sensitive detection of uropathogenic Escherichia coli (UPEC), a common cause of ascending urinary tract infections (UTIs) including cystitis and pyelonephritis, is critical given the increasing number of cases and its recurrence worldwide. In this paper, we present a label-free nanoplasmonic sensing platform, built with off-the-shelf optical and electronic components, which can detect intact UPEC at concentrations lower than the physiological limit for UTI diagnosis, in real time. The sensing platform consists of a red LED light source, lens assembly, CMOS detector, Raspberry Pi interface in conjugation with a metallic flow through nanohole array-based sensor. Detection is achieved exploiting nanoplasmonic phenomena from the nanohole arrays through surface plasmon resonance imaging (SPRi) technique. The platform has a bulk sensitivity of 212 pixel intensity unit (PIU)/refractive index unit (RIU), and a resolution in the order of 10(-6) RIU. We demonstrate capture and detection of UPEC with a detection limit of similar to 100 CFU/ml - a concentration well below the threshold limit for UTI diagnosis in clinical samples. We also demonstrate detection of UPEC in spiked human urine samples for two different concentrations of bacteria. This work is particularly relevant for point-of-care applications, especially for regions around the world where accessibility to medical facilities is heavily dependent upon economy, and availability.