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Wide-Range, Rapid, and Specific Identification of Pathogenic Bacteria by Surface-Enhanced Raman Spectroscopy
ACS Sensors ( IF 8.2 ) Pub Date : 2021-07-20 , DOI: 10.1021/acssensors.1c00641
Siying Liu 1, 2, 3 , Qiushi Hu 4 , Chao Li 5 , Fangrong Zhang 6, 7 , Hongjing Gu 8 , Xinrui Wang 9 , Shuang Li 4 , Lei Xue 4 , Tobias Madl 1, 2, 6, 7 , Yun Zhang 1, 2, 3 , Lei Zhou 4
Affiliation  

Sensitive, selective, rapid, and label-free detection of pathogenic bacteria with high generality is of great importance for clinical diagnosis, biosecurity, and public health. However, most traditional approaches, such as microbial cultures, are time-consuming and laborious. To circumvent these problems, surface-enhanced Raman spectroscopy (SERS) appears to be a powerful technique to characterize bacteria at the single-cell level. Here, by SERS, we report a strategy for the rapid and specific detection of 22 strains of common pathogenic bacteria. A novel and high-quality silver nanorod SERS substrate, prepared by the facile interface self-assembly method, was utilized to acquire the chemical fingerprint information of pathogens with improved sensitivity. We also applied the mathematical analysis methods, such as the t-test and receiver operating characteristic method, to determine the Raman features of these 22 strains and demonstrate the clear identification of most bacteria (20 strains) from the rest and also the reliability of this SERS sensor. This rapid and specific strategy for wide-range bacterial detection offers significant advantages over existing approaches and sets the base for automated and onsite detection of pathogenic bacteria in a complex real-life situation.

中文翻译:

通过表面增强拉曼光谱法对病原菌进行大范围、快速和特异性鉴定

对病原菌进行灵敏、选择性、快速、无标记、通用性强的检测对于临床诊断、生物安全和公共卫生具有重要意义。然而,大多数传统方法,如微生物培养,既费时又费力。为了规避这些问题,表面增强拉曼光谱 (SERS) 似乎是一种在单细胞水平上表征细菌的强大技术。在这里,通过 SERS,我们报告了一种快速、特异性检测 22 种常见病原菌菌株的策略。通过简便的界面自组装方法制备的新型高质量银纳米棒 SERS 基底用于以更高的灵敏度获取病原体的化学指纹信息。我们还应用了数学分析方法,例如t- 测试和接收器操作特征方法,以确定这 22 种菌株的拉曼特征,并证明可以清楚地识别大多数细菌(20 种菌株)以及该 SERS 传感器的可靠性。这种用于大范围细菌检测的快速而具体的策略与现有方法相比具有显着优势,并为在复杂的现实生活中自动和现场检测病原菌奠定了基础。
更新日期:2021-08-27
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