Microcavity Array-Based Digital SERS Chip for Rapid and Accurate Label-free Quantitative Detection of Live Bacteria.

IF 8.2 1区化学 Q1 CHEMISTRY, ANALYTICAL

ACS Sensors Pub Date : 2024-11-04 DOI:10.1021/acssensors.4c02007

Ping Wen, Feng Yang, Haixia Zhao, Shunbo Li, Yi Xu, Li Chen

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引用次数: 0

Abstract

In this study, we developed a novel digital surface-enhanced Raman spectroscopy (SERS) chip that integrates an inverted pyramid microcavity array, a microchannel cover plate, and a multilayer gold nanoparticle (AuNP) SERS substrate. This innovative design exploits the synergistic effects of the microcavity array and the microchannel to enable rapid and large-scale digital discretization of bacterial suspensions. The concentration effect of the picoliter cavities, combined with the superior Raman enhancement effect of the multilayer AuNP SERS substrate, allows for the precise identification of live bacteria within the microcavities through in situ and label-free SERS testing after a short incubation period. By counting the resulting positive or negative signals, the concentration of the target analyte can be directly determined via Poisson statistics. Experimental results demonstrate that this method enables the accurate quantification of Escherichia coli (E. coli) BL21 within a 4-h incubation period. Compared with traditional analog SERS detection methods, our proposed digital SERS detection strategy reduces the impact of signal intensity fluctuations, thereby significantly improving detection efficiency and accuracy. We believe that this digital SERS chip has great application prospects in the fields of bacterial detection, antibiotic resistance analysis, and cellular dynamics monitoring.

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基于微腔阵列的数字 SERS 芯片，用于快速准确地对活细菌进行无标记定量检测。

在这项研究中，我们开发了一种新型数字表面增强拉曼光谱（SERS）芯片，它集成了倒金字塔微腔阵列、微通道盖板和多层金纳米粒子（AuNP）SERS基底。这种创新设计利用了微腔阵列和微通道的协同效应，实现了细菌悬浮液的快速、大规模数字离散化。皮升级微腔的浓缩效应与多层 AuNP SERS 基底的卓越拉曼增强效应相结合，可以在短时间的培养后，通过原位无标记 SERS 测试精确识别微腔内的活细菌。通过对产生的正负电子信号进行计数，可以通过泊松统计直接确定目标分析物的浓度。实验结果表明，这种方法可以在 4 小时的培养期内对大肠杆菌（E. coli）BL21 进行精确定量。与传统的模拟 SERS 检测方法相比，我们提出的数字 SERS 检测策略减少了信号强度波动的影响，从而大大提高了检测效率和准确性。我们相信，这种数字 SERS 芯片在细菌检测、抗生素耐药性分析和细胞动态监测等领域具有广阔的应用前景。

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来源期刊

ACS Sensors Chemical Engineering-Bioengineering

CiteScore

14.50

自引率

3.40%

发文量

372

期刊介绍： ACS Sensors is a peer-reviewed research journal that focuses on the dissemination of new and original knowledge in the field of sensor science, particularly those that selectively sense chemical or biological species or processes. The journal covers a broad range of topics, including but not limited to biosensors, chemical sensors, gas sensors, intracellular sensors, single molecule sensors, cell chips, and microfluidic devices. It aims to publish articles that address conceptual advances in sensing technology applicable to various types of analytes or application papers that report on the use of existing sensing concepts in new ways or for new analytes.