CAS Key Laboratory of Design and Assembly of Functional Nanostructures, and Fujian Provincial Key Laboratory of Nanomaterials, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou 350002, China.
Department of Translational Medicine, Xiamen Institute of Rare Earth Materials, Chinese Academy of Sciences, Xiamen 361021, China.
ACS Sens. 2021 Aug 27;6(8):2911-2919. doi: 10.1021/acssensors.1c00641. Epub 2021 Jul 20.
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 -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.
快速、灵敏、选择性好、无需标记的通用型致病菌检测方法对临床诊断、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,既耗时又费力。为了克服这些问题,表面增强拉曼光谱(SERS)似乎是一种在单细胞水平上对细菌进行特征分析的强大技术。在这里,我们通过 SERS 报告了一种用于快速、特异性检测 22 种常见致病菌的策略。我们利用通过简单的界面自组装方法制备的新型高质量银纳米棒 SERS 基底,以提高灵敏度来获取病原体的化学指纹信息。我们还应用了数学分析方法,如 t 检验和受试者工作特征方法,来确定这 22 种菌株的拉曼特征,并证明了大多数细菌(20 株)能够与其他细菌清晰区分,同时也证明了该 SERS 传感器的可靠性。这种用于广谱细菌检测的快速、特异性策略优于现有方法,为在复杂的实际情况下实现自动化和现场检测致病菌奠定了基础。