4.8 Article

Cascade Signal Amplification Based on Copper Nanoparticle-Reported Rolling Circle Amplification for Ultrasensitive Electrochemical Detection of the Prostate Cancer Biomarker

期刊

ACS APPLIED MATERIALS & INTERFACES
卷 8, 期 4, 页码 2573-2581

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acsami.5b10285

关键词

rolling circle amplification; poly(thymine)-templated copper nanoparticle; signal amplification; electrochemical detection; prostate specific antigen

资金

  1. National Science Foundation of China [21305077]
  2. Research Award Fund for Outstanding Middle-aged and Young Scientist of Shandong Province [BS2013SW031]
  3. Special Funding of China Postdoctoral Science Foundation [2014T70629]
  4. Independent Innovation Foundation of Shandong University [2012HW004]

向作者/读者索取更多资源

An ultrasensitive and highly selective electrochemical assay was first attempted by combining the rolling circle amplification (RCA) reaction with poly(thymine)-templated copper nanoparticles (CuNPs) for cascade signal amplification. As proof of concept, prostate specific antigen (PSA) was selected as a model target. Using a gold nanoparticle (AuNP) as a carrier, we synthesized the primerAuNPaptamer bioconjugate for signal amplification by increasing the primer/aptamer ratio. The specific construction of primerAuNPaptamer/PSA/anti-PSA sandwich structure triggered the effective RCA reaction, in which thousands of tandem poly(thymine) repeats were generated and directly served as the specific templates for the subsequent CuNP formation. The signal readout was easily achieved by dissolving the RCA product-templated CuNPs and detecting the released copper ions with differential pulse stripping voltammetry. Because of the designed cascade signal amplification strategy, the newly developed method achieved a linear range of 0.05-500 fg/mL, with a remarkable detection limit of 0.020 +/- 0.001 fg/mL PSA. Finally, the feasibility of the developed method for practical application was investigated by analyzing PSA in the real clinical human serum samples. The ultrasensitivity, specificity, convenience, and capability for analyzing the clinical samples demonstrate that this method has great potential for practical disease diagnosis applications.

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