Ultrasensitive detection of imidacloprid in fruits and vegetables using a lateral flow immunoassay based on highly luminescent Au nanoclusters.

IF 3.8 2区 化学 Q1 BIOCHEMICAL RESEARCH METHODS
Weina Chai, Ziyue Cao, Haoyuan Tan, Xiao He, Jiangxue Dong, Hongyuan Yan, Ming Su
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Abstract

In this work, a highly sensitive lateral flow immunoassay (LFIA) strip based on luminescent green-emitting gold nanoclusters (AuNCs) was developed for ultrasensitive and facile visual determination of imidacloprid (ICP). Specifically, the structurally ordered AuNCs system, constructed through 6-aza-2-thiothymine (ATT) as the coordinating ligand and L-arginine (Arg) as the guest molecule (denoted as Arg/ATT/AuNCs), exhibited enhanced and persistent fluorescent emission characteristics. Furthermore, the presence of unbound carboxyl moieties on the Arg/ATT/AuNCs complex facilitated the conjugation with biomolecules, thereby providing a functional indicator for the biosensor assembly. The developed strips operate on the principle of an indirect competitive assay and are capable of effectively detecting target samples in less than 12 min. Moreover, the sample only needs to undergo simple crushing and filtration. The assay provides qualitative results through visual inspection under a UV lamp and quantitative analysis via a portable fluorescence reader. The visual limit of detection (vLOD) was 7.5 ng/mL and the limit of detection (LOD) is 0.026 ng/mL. Additionally, the average recoveries of ICP from apples, oranges, cucumbers, and cabbages samples ranged from 78.0% to 104.8%, 82.0% to 99.1%, 94.0% to 99.1%, and 93.0% to 101.9%, respectively, with relative standard deviations less than 10%. Given its ultrasensitive luminescence performance, the AuNCs-LFIA strip offers great potential for rapid, sensitive, and cost-effective detection of analytes in food safety monitoring.

基于高发光金纳米团簇的横向流动免疫法超灵敏检测水果和蔬菜中的吡虫啉。
在这项工作中,基于发光的绿色发光金纳米团簇(AuNCs),开发了一种高灵敏度的横向流动免疫测定(LFIA)条带,用于吡虫啉(ICP)的超灵敏和快速视觉测定。具体而言,以6-氮杂-2-硫腺嘧啶(ATT)为配位体,l -精氨酸(Arg)为客分子(记为Arg/ATT/AuNCs)构建的结构有序的AuNCs体系表现出增强和持久的荧光发射特性。此外,Arg/ATT/ aunc复合物上未结合的羧基部分的存在促进了与生物分子的结合,从而为生物传感器组装提供了功能指示。开发的试纸操作原理是间接竞争分析,能够在不到12分钟的时间内有效检测目标样品。样品只需要进行简单的破碎和过滤。该方法通过紫外灯下的目视检查和便携式荧光仪的定量分析提供定性结果。视觉检出限为7.5 ng/mL,检出限为0.026 ng/mL。ICP在苹果、橘子、黄瓜和卷心菜样品中的平均回收率分别为78.0% ~ 104.8%、82.0% ~ 99.1%、94.0% ~ 99.1%和93.0% ~ 101.9%,相对标准偏差均小于10%。鉴于其超灵敏的发光性能,AuNCs-LFIA试纸条在食品安全监测中提供了快速、灵敏、经济的检测分析物的巨大潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
8.00
自引率
4.70%
发文量
638
审稿时长
2.1 months
期刊介绍: Analytical and Bioanalytical Chemistry’s mission is the rapid publication of excellent and high-impact research articles on fundamental and applied topics of analytical and bioanalytical measurement science. Its scope is broad, and ranges from novel measurement platforms and their characterization to multidisciplinary approaches that effectively address important scientific problems. The Editors encourage submissions presenting innovative analytical research in concept, instrumentation, methods, and/or applications, including: mass spectrometry, spectroscopy, and electroanalysis; advanced separations; analytical strategies in “-omics” and imaging, bioanalysis, and sampling; miniaturized devices, medical diagnostics, sensors; analytical characterization of nano- and biomaterials; chemometrics and advanced data analysis.
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