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A Filter-based Surface Enhanced Raman Spectroscopic Assay for Rapid Detection of Chemical Contaminants
Published on: February 19, 2016
Core-shell Au@Ag NPs-based SERS-LFIA for the simultaneous quantitation of PEDV and PoRVA on site
Yaxiang Luo1, Zhi Zhao1, Chengxiang Fu1
1College of Animal Science and Technology, Guangxi Key Laboratory of Animal Breeding, Disease Control and Prevention, Guangxi University, Nanning 530004 Guangxi, China.
Abstract:
Porcine epidemic diarrhea virus (PEDV) and porcine group A rotavirus (PoRVA) are predominant pathogens responsible for infectious diarrhea in porcine. Co-infections of PEDV and PoRVA have become a common situation in porcine farms in recent years, which increases the severity of the diarrhea disease and makes the accurate diagnosis more difficult. Rapid quantitation of PEDV and PoRVA is of great significance for the guarantee of disease control. In this study, a 4-mercaptobenzoic acid (MBA) modified core-shell Au@Ag nanoparticles (Au@MBA@Ag NPs) based lateral flow immunochromatography (LFIA) with dual-signal modes of visual observation and surface-enhanced Raman scattering (SERS) signal analysis was developed for the rapid and sensitive detection of PEDV and PoRVA. The established SERS-LFIA was capable of simultaneous quantitation of PEDV and PoRVA in porcine fecal samples within 20 min, with visual limits of detection (LODs) of 6.25 × 102 TCID50/mL and 7.42 × 102 copies/μL for PEDV and PoRVA, respectively. The LODs based on Raman signals were as low as 8.01 × 101 TCID50/mL and 3.19 × 102 copies/μL for PEDV and PoRVA, respectively, which were more than two orders of magnitude lower than the conventional colloidal gold (AuNPs) based colorimetric immunochromatography. Additionally, the SERS-LFIA exhibited no cross-reactivity with other prevalent pathogens and was highly repeatability, with a coefficient of variation (CV) of less than 15 %. When detecting clinical samples, the overall compliance of the SERS-LFIA with RT-PCR results was 93.3 %. Thus, the developed SERS-LFIA showed great potential for field applications on the rapid diagnosis of PEDV and PoRVA infection.

