Li Jingwen, Liu Min, Zhu Jinyue, Jiao Yunbing, Zeng Jingbin
College of Chemistry and Chemical Engineering and State Key Laboratory of Heavy Oil Processing, China University of Petroleum (East China), Qingdao, 266580, China.
College of Chemistry and Chemical Engineering and State Key Laboratory of Heavy Oil Processing, China University of Petroleum (East China), Qingdao, 266580, China.
Talanta. 2025 Apr 1;285:127351. doi: 10.1016/j.talanta.2024.127351. Epub 2024 Dec 6.
Antibody testing for virus aids diagnosis, promotes vaccination and development, and evaluates antibody treatment efficacy. Hence, it is essential to examine and monitor antibody levels for accurate disease diagnosis and prevention. Lateral Flow Immunoassay (LFIA) is a technique that is known for its simplicity and speed, making it a popular choice for immediate detection. Noble metal nanoparticles are extensively employed in LFIA due to their exceptional colorimetric and Raman properties, which are a result of the LSPR effect. Au nanostars (Au NSs) have excellent SERS properties due to multiple sharp branches and more "hot spots" on the surface, while Ag nanoparticles (Ag NPs) have higher extinction coefficient and better refractive index sensitivity. The electromagnetic field strength on the surface of Ag-Au bimetallic nanomaterial is greatly enhanced, which further enhances the SERS intensity. In this work, we created a core-shell nanoparticle by combining Au NS as the core and Ag as the shell (Au NS@Ag). We then inserted a Raman reporter molecule between the core and shell. Using this, we developed an LFIA platform that can detect influenza A virus antibodies in both colorimetric and Raman modes. The detection limit in colorimetric mode was 0.1 ng/mL, while in Raman mode it was 8.0 pg/mL, making it approximately 12 times more sensitive than the colorimetric mode. Furthermore, the method has shown excellent specificity, stability, and resistance to interference. Hence, this method can be applied to various fields such as environmental monitoring, clinical diagnosis, and food safety, showing great potential for future applications.
抗体检测有助于病毒诊断、促进疫苗接种与研发以及评估抗体治疗效果。因此，检测和监测抗体水平对于准确的疾病诊断和预防至关重要。侧向流动免疫分析（LFIA）是一种以简单快速著称的技术，使其成为即时检测的热门选择。贵金属纳米颗粒因其出色的比色和拉曼特性（这是局域表面等离子体共振效应的结果）而被广泛应用于LFIA。金纳米星（Au NSs）由于表面有多个尖锐分支和更多“热点”而具有优异的表面增强拉曼散射（SERS）特性，而银纳米颗粒（Ag NPs）具有更高的消光系数和更好的折射率灵敏度。Ag-Au双金属纳米材料表面的电磁场强度大大增强，进一步提高了SERS强度。在这项工作中，我们通过将Au NS作为核心和Ag作为外壳（Au NS@Ag）来创建核壳纳米颗粒。然后我们在核心和外壳之间插入了一个拉曼报告分子。利用这个，我们开发了一个LFIA平台，该平台可以通过比色和拉曼模式检测甲型流感病毒抗体。比色模式下的检测限为0.1 ng/mL，而拉曼模式下为8.0 pg/mL，使其比色模式下的灵敏度提高了约12倍。此外，该方法还表现出优异的特异性、稳定性和抗干扰性。因此，该方法可应用于环境监测、临床诊断和食品安全等各个领域，展现出巨大的未来应用潜力。
