Key Laboratory of Jilin Province for Zoonosis Prevention and Control, Institute of Military Veterinary, AMMS Changchun 130122, China.
College of Animal Sciences and Technology, Jilin Agricultural University , Changchun 130118, China.
Anal Chem. 2017 Sep 19;89(18):9836-9842. doi: 10.1021/acs.analchem.7b01813. Epub 2017 Aug 25.
The characteristic of an ideal bacteria-detection method should have high sensitivity and specificity, be easy to operate, and not have a time-consuming culture process. In this study, we report a new bacteria-detection strategy that can recognize bacteria quickly and directly by surface-enhanced Raman scattering (SERS) with the formation of well-defined bacteria-aptamer@AgNPs. SERS signals generated by bacteria-aptamer@AgNPs exhibited a linear dependence on bacteria (R = 0.9671) concentration ranging from 10 to 10 cfu/mL. The detection limit is sensitive down to 1.5 cfu/mL. Meanwhile, the bacteria SERS signal was dramatically enhanced by its specifically recognized aptamer, and the bacteria could be identified directly and visually through the SERS spectrum. This strategy eliminates the puzzling data analysis of previous studies and offers significant advantages over existing approaches, getting a critical step toward the creation of SERS-based biochips for rapid in situ bacteria detection in mixture samples.
理想的细菌检测方法应具有高灵敏度和特异性，易于操作，且培养过程耗时短。在本研究中，我们报告了一种新的细菌检测策略，该策略可通过形成明确的细菌适体@AgNPs 来快速、直接地通过表面增强拉曼散射（SERS）识别细菌。细菌适体@AgNPs 产生的 SERS 信号与细菌浓度呈线性关系（R = 0.9671），范围从 10 到 10 cfu/mL。检测限低至 1.5 cfu/mL。同时，细菌的 SERS 信号被其特异性识别的适体大大增强，并且可以通过 SERS 光谱直接和直观地识别细菌。该策略消除了之前研究中令人困惑的数据分析，并且与现有方法相比具有显著优势，朝着创建基于 SERS 的生物芯片以用于快速原位混合样品中的细菌检测迈出了关键一步。
