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基于金/金纳米星的高灵敏比色/表面增强拉曼光谱免疫分析法检测克伦特罗。

Highly Sensitive Colorimetric/Surface-Enhanced Raman Spectroscopy Immunoassay Relying on a Metallic Core-Shell Au/Au Nanostar with Clenbuterol as a Target Analyte.

机构信息

College of Food Science and Engineering, Northwest A&F University, Yangling, Shanxi, 712100 China.

出版信息

Anal Chem. 2021 Jun 15;93(23):8362-8369. doi: 10.1021/acs.analchem.1c01487. Epub 2021 Jun 2.

DOI:10.1021/acs.analchem.1c01487
PMID:34077199
Abstract

Lateral flow immunoassay (LFIA) has emerged as an effective technique in the field of food safety and environmental monitoring. However, sensitive and quantitative detection is still challenging for LFIAs in complex environments. In this work, a dual-model colorimetric/SERS lateral flow immunoassay for ultrasensitive determination of clenbuterol was constructed based on a metallic core-shell Au/Au nanostar acting as a multifunction tag. Raman reporter molecules are located between the core (AuNP) and shell (Au nanostar) to form a sandwich structure, which contributes to eliminate the environmental interference and improve the detection stability. In addition, the Au/Au nanostar provides a much higher Raman enhancement due to the presence of sharp tips and larger surface roughness in comparison with gold nanoparticles (AuNPs). Thus, on the basis of the antibody-antigen interaction, the dual-model immunoassay can produce strong colorimetric and surface-enhanced Raman spectroscopy (SERS) signals for highly sensitive detection of the target analyte, clenbuterol. Under optimal conditions, clenbuterol could be detected by the colorimetric model with a visual detection limit of 5 ng/mL. Meanwhile, the SERS signal of the Au/Au nanostar was accumulated on the test line for the SERS model detection with a quantitative detection limit as low as 0.05 ng/mL, which is at least 200-fold lower than that of the traditional AuNPs-based immunoassay. Furthermore, recovery rates of the proposed method in food samples were 86-110%. This dual-model immunoassay provides an effective tool for antibiotic residues analysis and demonstrates a broad potential for future applications in food safety monitoring.

摘要

侧向流动免疫分析(LFIA)已成为食品安全和环境监测领域的一种有效技术。然而,在复杂环境中,LFIAs 仍然难以实现灵敏和定量检测。在这项工作中,构建了一种基于金属核壳 Au/Au 纳米星作为多功能标记物的双模式比色/SERS 侧向流动免疫分析,用于超灵敏测定克伦特罗。拉曼报告分子位于核(AuNP)和壳(Au 纳米星)之间,形成三明治结构,有助于消除环境干扰并提高检测稳定性。此外,与金纳米颗粒(AuNPs)相比,Au/Au 纳米星由于存在尖锐的尖端和更大的表面粗糙度,提供了更高的拉曼增强。因此,基于抗体-抗原相互作用,双模式免疫分析可以产生强烈的比色和表面增强拉曼光谱(SERS)信号,用于对目标分析物克伦特罗进行高灵敏度检测。在最佳条件下,比色模型可以检测到 5 ng/mL 的克伦特罗。同时,Au/Au 纳米星的 SERS 信号在测试线上累积,用于 SERS 模型检测,定量检测限低至 0.05 ng/mL,至少比传统的基于 AuNPs 的免疫分析低 200 倍。此外,该方法在食品样品中的回收率为 86-110%。这种双模式免疫分析为抗生素残留分析提供了一种有效的工具,并展示了在食品安全监测中具有广阔的应用潜力。

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