High sensitivity prostate-specific antigen SERS detection platform based on laser resonance nanoparticles

Abstract

Accurate quantitative analysis of cancer-related specific biomarkers in clinical serum is very important for the early diagnosis and treatment of cancer. Hospitals often use serum prostate-specific antigen (PSA) as a biomarker associated with prostate cancer diagnosis and prognosis, and prostate cancer cells often produce more PSA than benign cells, leading to elevated PSA levels in the blood. In this study, an immunoassay based on surface-enhanced Raman scattering (SERS) was established for the detection of PSA employing magnetic beads along with SERS nanotags.. The hospital now takes two hours to test the results, and the equipment price is high, the detection price is high, and the penetration rate of township hospitals in China is low. SERS has super-sensitive and fast detection ability, and the detection result in 10 minutes significantly reduces the waiting time. Besides, the detection method is simple, cheap and portable, providing a reference for the popularity of township health centers. To evaluate the clinical applicability of this method, 75 male clinical serum samples were tested, most of which were in the gray area of 4.0-10.0 ng/mL. The experimental results show that our detection method has a good agreement with the results measured by the electrochemical luminescence (ECL) system in the hospital clinical laboratory. Our detection limit for actual samples from patients can reach 0.029 ng/mL. Therefore, our clinical serum PSA marker detection method based on sers has a great market in towns and villages.

Supplementary files

Article information

Article type
Paper
Submitted
30 oct. 2024
Accepted
17 janv. 2025
First published
24 janv. 2025
This article is Open Access
Creative Commons BY-NC license

Nanoscale, 2025, Accepted Manuscript

High sensitivity prostate-specific antigen SERS detection platform based on laser resonance nanoparticles

S. Fu, S. Xu, H. Li, X. Guo, J. Lin, B. Guan, B. Chen, T. Wang, Y. Zhang and J. Li, Nanoscale, 2025, Accepted Manuscript , DOI: 10.1039/D4NR04510F

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