Citation: LI Zi-Ying, LI De-Yan, YANG Jian-Mei, HU Rong, YANG Tong, YANG Yun-Hui. Fluorescence Resonance Energy Transfer-DNA Nanomachine-based Cycling Signal Amplified Strategy for Detection of Prostate Specific Antigen[J]. Chinese Journal of Analytical Chemistry, ;2022, 50(7): 1032-1040. doi: 10.19756/j.issn.0253-3820.210686 shu

Fluorescence Resonance Energy Transfer-DNA Nanomachine-based Cycling Signal Amplified Strategy for Detection of Prostate Specific Antigen

College of Chemistry and Chemical Engineering, Yunnan Normal University, Kunming 650500, China

Corresponding author: YANG Tong, YANG Yun-Hui,
Received Date: 17 August 2021
Revised Date: 26 April 2022

Fund Project: Supported by the National Natural Science Foundation of China (Nos.21904114, 21765026) and the Yunnan Fundamental Research Projects (Nos.202001AU070067, 202201AT070028).

A fluorescence resonance energy transfer (FRET)-DNA nanomachine based on BHQ-2 and Cy5 was constructed for detection of prostate specific antigen (PSA). The introduction of fuel DNA would trigger the entropy increasing effect of the DNA nanomachine to cause the recycling of DNA nanomachine and release of more Cy5 signal probes, which further facilitated the cycling signal amplification for PSA analysis. The FRET-DNA nanomachine exhibited many advantages such as enzyme-free, low background, high sensitivity, high selectivity and easy operation. The DNA complementary hybridizations in working process of DNA nanomachine were characterized by agarose gel electrophoresis. Some important experimental parameters, such as the concentration and incubating time of fuel DNA, the concentration of PSA aptamer, were optimized. Under the optimized experimental conditions, the FRET-DNA nanomachine was employed to detect PSA protein with linearity ranging from 0.1 to 100 ng/mL and the limit of detection limit was 93.3 pg/mL (3σ). Comparing with commercial PSA kits based on enzyme-linked immunosorbent assay, this proposed strategy exhibited wider linearity rang and lower detection limit, which could be used to detect PSA in real serum samples. The easy operation and high reliability of this strategy showed potential quantitative power for future biomedical detection.
- Fluorescence resonance energy transfer,
- DNA nanomachine,
- Cycling signal amplification,
- Prostate specific antigen,
- Biomedical detection
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