Highly sensitive SERS-based lateral flow immunoassay of fipronil using bimetallic Au@Ag@Ag nanorods

IF 5.3 2区化学 Q1 CHEMISTRY, ANALYTICAL

Microchimica Acta Pub Date : 2024-11-18 DOI:10.1007/s00604-024-06811-5

Kseniya V. Serebrennikova, Nadezhda S. Komova, Lyubov V. Barshevskaya, Anatoly V. Zherdev, Boris B. Dzantiev

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Abstract

A bimetallic core–shell-shell nanorods structure with gap-embedded Raman reporter 5,5′-dithio-bis-(2-nitrobenzoic acid) (DTNB) was developed and applied as a SERS-active nanotag in surface-enhanced Raman scattering lateral flow immunoassay (SERS-LFIA) of the insecticide fipronil. Due to the strong SERS signal of the Au^DTNB@Ag^DTNB@AgNRods, fipronil is detected with extremely low detection limit of 4.6 pg/mL. To the best of our knowledge, the proposed technique is the first SERS-LFIA of fipronil, proven to be effective in the selective determination of the target analyte and capable of detecting fipronil in a matrix of food samples (cucumber and apple juice) with recoveries of 97.0–117.0%. Moreover, the applied functionalization of the SERS nanotag with anti-species antibodies has provided a versatile immunoprobe that could improve performance of different LFIAs.

Graphical Abstract

Abstract Image

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使用双金属 Au@Ag@Ag 纳米棒进行基于 SERS 的氟虫腈高灵敏度横向流动免疫分析。

研究人员开发了一种双金属核-壳-壳纳米棒结构，其中间隙嵌入了拉曼报告物 5,5'-二硫双（2-硝基苯甲酸）（DTNB），并将其用作表面增强拉曼散射侧向流动免疫分析法（SERS-LFIA）中检测杀虫剂氟虫腈的 SERS 活性纳米标记。由于 AuDTNB@AgDTNB@AgNRods 具有很强的 SERS 信号，因此氟虫腈的检测限极低，仅为 4.6 pg/mL。据我们所知，所提出的技术是首例 SERS-LFIA 氟虫腈检测方法，经证实能有效地选择性测定目标分析物，并能检测食品样品（黄瓜和苹果汁）基质中的氟虫腈，回收率达 97.0-117.0%。此外，用抗物种抗体对 SERS 纳米标签进行功能化还提供了一种多功能免疫探针，可以提高不同 LFIA 的性能。

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来源期刊

Microchimica Acta 化学-分析化学

CiteScore

9.80

自引率

5.30%

发文量

410

审稿时长

2.7 months

期刊介绍： As a peer-reviewed journal for analytical sciences and technologies on the micro- and nanoscale, Microchimica Acta has established itself as a premier forum for truly novel approaches in chemical and biochemical analysis. Coverage includes methods and devices that provide expedient solutions to the most contemporary demands in this area. Examples are point-of-care technologies, wearable (bio)sensors, in-vivo-monitoring, micro/nanomotors and materials based on synthetic biology as well as biomedical imaging and targeting.