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

Abstract 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...

Full description

Bibliographic Details
Main Authors: Hyung-Mo Kim, Jaehi Kim, Jaehyun An, Sungje Bock, Xuan-Hung Pham, Kim-Hung Huynh, Yoonsik Choi, Eunil Hahm, Hobeom Song, Jung-Won Kim, Won-Yeop Rho, Dae Hong Jeong, Ho-Young Lee, Sangchul Lee, Bong-Hyun Jun
Format: Article
Language:English
Published: BMC 2021-03-01
Series:Journal of Nanobiotechnology
Subjects:
Online Access:https://doi.org/10.1186/s12951-021-00817-4
Description
Summary:Abstract 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.
ISSN:1477-3155