Development Of A Rapid And Sensitive Europium (Iii) Chelate Microparticle-Based Lateral Flow Test Strip For The Detection And Epidemiological Surveillance Of Porcine Epidemic Diarrhea Virus
文献类型: 外文期刊
作者: Liu, JB; Shi, HY; Cong, GY; Chen, JF; Zhang, X; Shi, D; Cao, LY; Wang, XB; Zhang, JL; Ji, ZY; Jing, ZY; Feng, L
作者机构:
期刊名称: ARCHIVES OF VIROLOGY
ISSN: 0304-8608
年卷期: 2020 年 165 卷 5 期
页码:
收录情况: JCR(2021版)
摘要: Porcine epidemic diarrhea virus (PEDV), a member of the genus Alphacoronavirus, is the predominant cause of severe enteropathogenic diarrhea in swine. A simple, rapid, specific, and sensitive method is critical for monitoring PEDV on pig farms. In this study, a simple and rapid lateral flow immunoassay detection system that integrates europium (Eu) (III) chelate microparticles was developed to identify PEDV in fecal swabs. This newly developed diagnostic sandwich immunoassay utilizes lateral flow test strips (LFTSs). The fluorescence peak heights of the test line (HT) and the control line (HC) were measured using a fluorescence strip reader, and the HT/HC ratio was used for quantitation. The limit of detection of PEDV with this LFTS was ??ten times the median tissue culture infectious dose (TCID50) per mL??. Fecal swab samples were used to determine the cutoff value. Field samples, various PEDV strains and other viruses were used to determine the sensitivity and specificity of the Eu (III) chelate microparticle-based LFTSs, which were 97.8% and 100%, respectively, with a cutoff value of 0.05, as compared with reverse transcription polymerase chain reaction (RT-PCR). In samples from piglets experimentally infected with PEDV, the results were in high agreement with those obtained by RT-PCR. Epidemiological surveillance of PEDV using the LFTSs ??in areas threatened by African swine fever virus?? suggested that the PEDV positive rate on pig farms had significantly decreased, mainly due to the implementation of strict biosecurity measures. The results indicate that the Eu (III) chelate microparticle-based LFTS system is a rapid, sensitive, and reliable method for the identification of PEDV, indicating its suitability for epidemiological surveillance of PEDV infection.
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