4.8 Article

Highly sensitive and reliable detection of microRNA for clinically disease surveillance using SERS biosensor integrated with catalytic hairpin assembly amplification technology

期刊

BIOSENSORS & BIOELECTRONICS
卷 208, 期 -, 页码 -

出版社

ELSEVIER ADVANCED TECHNOLOGY
DOI: 10.1016/j.bios.2022.114236

关键词

Surface-enhanced Raman scattering (SERS); Catalytic hairpin assembly (CHA); MicroRNAs; Breast cancer; Diagnosis and prognosis

资金

  1. National Natural Science Foundation of China [61975031, 11974077]
  2. program for Industry University Cooperation Project of Fujian Province [2020Y4006]
  3. Innovation Team Development Plan, Ministry of Education [IRT_15R10]
  4. Central Government Guiding Local Science and Tech-nology Development [2020L3008]
  5. United Fujian Provincial Health and Education Project for Tackling the Key Research [2019-WJ-03]

向作者/读者索取更多资源

This study developed a biosensor based on SERS combined with CHA amplification technology for ultra-sensitive detection of miRNA-21 and miRNA-155 in breast cancer serum. It achieved a low detection limit and high accuracy, making it a promising method for breast cancer diagnosis and prognosis.
MicroRNAs (miRNAs) play an important regulatory role in several diseases, especially as a class of promising biomarkers for cancer diagnosis and prognosis. Here, a biosensor based on surface enhanced Raman spectroscopy (SERS) combined with catalytic hairpin assembly (CHA) amplification technology was developed for ultra -sensitive detection of miRNA-21 and miRNA-155 in breast cancer serum. By using CHA strategy, the extremely low concentration of target microRNA in human serum can be significantly amplified through the re-hybridization with thousands of hairpin probes to trigger amplification cycles. Besides, a sandwich SERS sensing chip with numerous hot spots and signal self-calibration was built through the linkage between two-dimensional Au-Si substrate and upper Ag@4-MBA@Au core-shell nanoparticles. Using this specially-designed biosensing platform, a low detection limit of 0.398 fM and 0.215 fM with a dynamic range from 1 fM to 10 nM can be achieved for the detection of miRNA-21 and miRNA-155, respectively. Additionally, the analysis of these two miRNAs in serum samples is capable of identifying the breast cancer subjects from normal ones with 100% of accuracy, as well as potentially evaluating the molecular types and prognosis for breast cancer. These results demonstrate that the proposed SERS with CHA technology would be an alternative method for highly sensitive and reliable detection of miRNA biomarkers contributing to breast cancer diagnosis and prognosis.

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