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基于高发光性金纳米团簇的侧流免疫分析法对果蔬中吡虫啉的超灵敏检测

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

作者信息

Chai Weina, Cao Ziyue, Tan Haoyuan, He Xiao, Dong Jiangxue, Yan Hongyuan, Su Ming

机构信息

College of Chemistry and Materials Science, Hebei University, Qiyi Road 2666, Baoding, 071002, PR China.

Hebei Key Laboratory of Analytical Science and Technology, Hebei University, Qiyi Road 2666, Baoding, 071002, PR China.

出版信息

Anal Bioanal Chem. 2025 Sep 20. doi: 10.1007/s00216-025-06118-1.

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.

摘要

在本研究中,开发了一种基于发光绿色金纳米簇(AuNCs)的高灵敏度侧向流动免疫分析(LFIA)试纸条,用于超灵敏且便捷的吡虫啉(ICP)可视化检测。具体而言,通过以6-氮杂-2-硫代胸腺嘧啶(ATT)作为配位配体和L-精氨酸(Arg)作为客体分子构建的结构有序的AuNCs体系(表示为Arg/ATT/AuNCs),表现出增强且持久的荧光发射特性。此外,Arg/ATT/AuNCs复合物上未结合的羧基部分的存在促进了与生物分子的共轭,从而为生物传感器组装提供了功能指示剂。所开发的试纸条基于间接竞争分析原理运行,能够在不到12分钟内有效检测目标样品。此外,样品仅需进行简单的粉碎和过滤。该分析通过在紫外灯下目视检查提供定性结果,并通过便携式荧光读数器进行定量分析。目视检测限(vLOD)为7.5 ng/mL,检测限(LOD)为0.026 ng/mL。此外,ICP在苹果、橙子、黄瓜和白菜样品中的平均回收率分别为78.0%至104.8%、82.0%至99.1%、94.0%至99.1%和93.0%至101.9%,相对标准偏差小于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对分析物进行快速、灵敏且经济高效的检测方面具有巨大潜力。

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