Label-free NIR-SERS discrimination and detection of foodborne bacteria by in situ synthesis of Ag colloids

李斯特菌 单核细胞增生李斯特菌 细菌 检出限 致病菌 大肠杆菌 微生物学 金黄色葡萄球菌 化学 原位 铜绿假单胞菌 细菌细胞结构 生物 色谱法 生物化学 遗传学 有机化学 基因
作者
Longyan Chen,Nawfal Adam Mungroo,Luciana Y. Daikuara,Suresh Neethirajan
出处
期刊:Journal of Nanobiotechnology [Springer Nature]
卷期号:13 (1) 被引量:63
标识
DOI:10.1186/s12951-015-0106-4
摘要

Rapid detection and discrimination of bacteria for biomedical and food safety applications remain a considerable challenge. We report a label-free near infrared surface-enhanced Raman scattering (NIR-SERS) method for the discrimination of pathogenic bacteria from drinking water. The approach relies on the in situ synthesis of silver nanoparticles (Ag NPs) within the bacterial cell suspensions.Pre-treatment of cells with Triton X-100 significantly improved the sensitivity of the assay. Using this method, we were able to discriminate several common pathogenic bacteria such as Escherichia coli, Pseudomonas aeruginosa, Methicillin-resistant Staphylococcus aureus (MRSA) and Listeria spp. A comparison of the SERS spectra allowed for the discrimination of two Listeria species, namely L. monocytogenes and L. innocua. We further report the application of the method to discriminate two MRSA strains from clinical isolates. The complete assay was completed in a span of 5 min.The proposed analytical method proves to be a rapid tool for selective and label-free identification of pathogenic bacterium. Pre-treatment of bacterial cells with Triton X-100 resulted in new features on the SERS spectra, allowing for a successful discrimination of common disease related bacteria including E. coli, P. aeruginosa, Listeria and MRSA. We also demonstrate that the spectral features obtained using in situ synthesis of nanoparticles could be could be used to differentiate two species of listeria. By using L. innocua as a model sample, we found the limit of detection of our assay to be 10(3) CFU/mL. The method can selectively discriminate different bacterial species, and has a potential to be used in the development of point-of-care diagnostics with biomedical and food safety applications.
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