4.7 Article

Au-Ag assembled on silica nanoprobes for visual semiquantitative detection of prostate-specific antigen

期刊

JOURNAL OF NANOBIOTECHNOLOGY
卷 19, 期 1, 页码 -

出版社

BMC
DOI: 10.1186/s12951-021-00817-4

关键词

Prostate-specific antigen; Lateral-flow immunoassay; Nanoparticle; Prostate cancer; Colorimetric assay; Colloid gold nanoparticle

资金

  1. National Research Foundation of Korea (NRF) - Korea government (MSIT) [NRF-2020R1F1A1072702]
  2. WTU Joint Research Grant of Konkuk University in 2017 [2017-A019-0334]

向作者/读者索取更多资源

A semiquantitative LFIA platform using Au-Ag nanoparticles assembled on silica NPs as signal reporters was developed for PSA detection in blood. The color intensity of the test line on the test strip in LFIA varied depending on the PSA concentration, demonstrating high reproducibility and stability. This signal reporter showed reliability for PSA detection, with potential applications in clinical sample analysis.
Background: Blood prostate-specific antigen (PSA) levels are widely used as diagnostic biomarkers for prostate cancer. Lateral-flow immunoassay (LFIA)-based PSA detection can overcome the limitations associated with other methods. LFIAbased PSA detection in clinical samples enables prognosis and early diagnosis owing to the use of high-performance signal reporters. Results: Here, a semiquantitative LFIA platform for PSA detection in blood was developed using Au-Ag nanoparticles (NPs) assembled on silica NPs (SiO2@Au-Ag NPs) that served as signal reporters. Synthesized SiO2@Au-Ag NPs exhibited a high absorbance at a wide wavelength range (400-800 nm), with a high scattering on nitrocellulose membrane test strips. In LFIA, the color intensity of the test line on the test strip differed depending on the PSA concentration (0.30-10.00 ng/mL), and bands for the test line on the test strip could be used as a standard. When clinical samples were assessed using this LFIA, a visual test line with particular color intensity observed on the test strip enabled the early diagnosis and prognosis of patients with prostate cancer based on PSA detection. In addition, the relative standard deviation of reproducibility was 1.41%, indicating high reproducibility, and the signal reporter showed good stability for 10 days. Conclusion: These characteristics of the signal reporter demonstrated the reliability of the LFIA platform for PSA detection, suggesting potential applications in clinical sample analysis.

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