4.8 Review

Tailoring noble metal nanoparticle designs to enable sensitive lateral flow immunoassay

期刊

THERANOSTICS
卷 12, 期 2, 页码 574-602

出版社

IVYSPRING INT PUBL
DOI: 10.7150/thno.67184

关键词

lateral flow immunoassay; noble metal nanoparticles; nanoparticle design; engineering

资金

  1. National Key Research and Development Program of China [2018YFC1602203]
  2. National Natural Science Foundation, China [32160599, 32001788]
  3. Jiangxi Provincial Natural Science Foundation [20202ACB215004]
  4. Scientific Research Foundation of Education Department of Jiangxi Province [GJJ200221]

向作者/读者索取更多资源

This article introduces the application of engineered noble metal nanoparticles in improving immunoassay sensitivity. By modulating the physical parameters of nanoparticles, including size, shape, composition, and external structure, the performance of immunoassay can be improved. Engineered nanoparticles have a wide range of applications in trace analysis.
Lateral flow immunoassay (LFIA) with gold nanoparticles (AuNPs) as signal reporters is a popular point-of-care diagnostic technique. However, given the weak absorbance of traditional 20-40 nm spherical AuNPs, their sensitivity is low, which greatly limits the wide application of AuNP-based LFIA. With the rapid advances in materials science and nanotechnology, the synthesis of noble metal nanoparticles (NMNPs) has enhanced physicochemical properties such as optical, plasmonic, catalytic, and multifunctional activity by simply engineering their physical parameters, including the size, shape, composition, and external structure. Using these engineered NMNPs as an alternative to traditional AuNPs, the sensitivity of LFIA has been significantly improved, thereby greatly expanding the working range and application scenarios of LFIA, particularly in trace analysis. Therefore, in this review, we will focus on the design of engineered NMNPs and their demonstration in improving LFIA. We highlight the strategies available for tailoring NMNP designs, the effect of NMNP engineering on their performance, and the working principle of each engineering design for enhancing LFIA. Finally, current challenges and future improvements in this field are briefly discussed.

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