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

Cited 10 time in Web of Science Cited 11 time in Scopus
Authors

Kim, Hyung-Mo; Kim, Jaehi; An, Jaehyun; Bock, Sungje; Pham, Xuan-Hung; Huynh, Kim-Hung; Choi, Yoonsik; Hahm, Eunil; Song, Hobeom; Kim, Jung-Won; Rho, Won-Yeop; Jeong, Dae Hong; Lee, Ho-Young; Lee, Sangchul; Jun, Bong-Hyun

Issue Date
2021-03-12
Publisher
BMC
Citation
Journal of Nanobiotechnology. 2021 Mar 12;19(1):73
Keywords
Prostate-specifc antigenLateral-fow immunoassayNanoparticleProstate cancerColorimetric assayColloid gold nanoparticle
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 (400–800nm), 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 (0.30–10.00ng/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 10days.

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
Language
English
URI
https://hdl.handle.net/10371/174413
DOI
https://doi.org/10.1186/s12951-021-00817-4
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