School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, P.R. China.
College of Electrical and Electronic Engineering, Wenzhou University, Wenzhou 325035, PR China.
Spectrochim Acta A Mol Biomol Spectrosc. 2022 Apr 5;270:120814. doi: 10.1016/j.saa.2021.120814. Epub 2021 Dec 25.
In this study, a surface enhanced Raman scattering (SERS) sensor based on Au@Ag NPs solid-phase substrate combined with chemometrics was constructed for the discrimination of three pathogenic bacteria (Staphylococcus aureus, Escherichia coli and Listeria monocytogenes). The Au@Ag NPs were synthesized and self-assembled on filter paper using the dip-coating method. The good absorbency of the filter paper immobilized the bacteria on the substrate, increased the interaction between the bacteria and the substrate, and enhanced the SERS signal of the bacteria. The main peaks of the bacterial spectra were close to each other, but the relative intensities of the vibrational peaks were significantly different, and each strain exhibited unique Raman peaks. The combination of partial least squared discriminant analysis (PLS-DA) method with bacterial SERS allowed the effective identification of the three bacteria. Moreover, the method was applied for the quantitative detection of Staphylococcus aureus with a minimum detection concentration of 10 cfu/mL.
在这项研究中,构建了一种基于 Au@Ag NPs 固相基底的表面增强拉曼散射(SERS)传感器,并结合化学计量学方法,用于区分三种病原菌(金黄色葡萄球菌、大肠杆菌和单核细胞增生李斯特菌)。Au@Ag NPs 通过浸涂法在滤纸上进行合成和自组装。滤纸上良好的吸水性将细菌固定在基底上,增加了细菌与基底之间的相互作用,并增强了细菌的 SERS 信号。细菌光谱的主要峰彼此接近,但振动峰的相对强度有显著差异,每种菌株都表现出独特的拉曼峰。偏最小二乘判别分析(PLS-DA)方法与细菌 SERS 的结合可有效识别这三种细菌。此外,该方法还用于金黄色葡萄球菌的定量检测,最低检测浓度为 10 cfu/mL。
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