Suppr超能文献

基于单克隆抗体的间接竞争酶联免疫吸附法检测氟苯虫酰胺。

A monoclonal antibody-based indirect competitive enzyme-linked immunosorbent assay for flubendiamide detection.

机构信息

College of Science, China Agricultural University, Beijing, 100193, China.

Citrus Research Institute, Southwest University, Chongqing, 400712, China.

出版信息

Sci Rep. 2019 Feb 14;9(1):2131. doi: 10.1038/s41598-019-38649-w.

Abstract

Flubendiamide (FD), the first commercial phthalic acid diamide that targets insect ryanodine receptor (RyRs), has played an important role in pest management. With its extensive worldwide application, a rapid and convenient method to detect its existence in the environment is necessary. In this study, an indirect competitive enzyme-linked immunosorbent assay (icELISA) was developed to analyse FD residue on environmental and food samples. The established icELISA showed a half maximal inhibition concentration (IC) of 17.25 µg L, with a working range of 4.06-103.59 µg L for FD, and showed no cross-reactivity with chlorantraniliprole, cyantraniliprole, and several FD analogues. Average FD recoveries from spinach, tap water, and soil samples were 89.3-112.3%, 93.0-102.1%, and 86.9-97.6%, respectively. Meanwhile, FD detection results of icELISA were compared with those of ultra-high-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). The comparable results verified that icELISA was suitable for rapid detection of FD residue in environmental and agricultural samples.

摘要

氟苯虫酰胺(FD)是首个靶向昆虫兰尼碱受体(RyRs)的邻苯二甲酰胺类杀虫剂,在害虫治理中发挥了重要作用。由于其在全世界范围内的广泛应用,因此需要建立一种快速、简便的方法来检测其在环境中的存在。本研究建立了一种间接竞争酶联免疫吸附法(icELISA),用于分析环境和食品样品中的 FD 残留。该方法的半数抑制浓度(IC)为 17.25 µg/L,工作范围为 4.06-103.59 µg/L,与氯虫苯甲酰胺、氰虫酰胺和几种 FD 类似物无交叉反应。icELISA 法测定菠菜、自来水和土壤样品中的 FD 平均回收率分别为 89.3-112.3%、93.0-102.1%和 86.9-97.6%。同时,将 icELISA 的检测结果与超高效液相色谱-串联质谱法(UPLC-MS/MS)进行了比较。结果表明,icELISA 可用于快速检测环境和农业样品中的 FD 残留,两种方法具有较好的一致性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bb9/6376021/d8ec1a677bbd/41598_2019_38649_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验