4.8 Article

Rolling circle amplification combined with gold nanoparticles-tag for ultra sensitive and specific quantification of DNA by inductively coupled plasma mass spectrometry

期刊

BIOSENSORS & BIOELECTRONICS
卷 58, 期 -, 页码 209-213

出版社

ELSEVIER ADVANCED TECHNOLOGY
DOI: 10.1016/j.bios.2014.02.072

关键词

ICP-MS; Rolling circle amplification; Gold nanoparticles; DNA; Aptamer

资金

  1. NSFC [21377025, J1103303]
  2. Ministry of Education, Science and Technology Development Center [20123514110001]
  3. Fujian Provincial Department of Science and Technology [2012J01035]
  4. Program for Changjiang Scholars and Innovative Research Team in University [IRT1116]
  5. National Key Technologies R & D Program of China during the 12th Five-Year Plan Period [2012BAD29B06]

向作者/读者索取更多资源

A novel method for the ultra specific and sensitive detection of DNA in biological samples was described in this paper based on magnetic beads (MBs)-based rolling circle amplification combined with gold nano-particles (AuNPs)-aptamer labeling technique and inductively coupled plasma mass spectrometry (ICP-MS) detection. The proposed assay has an ultra-high sensitivity and stability, excellent specificity and more robust resistibility to the complex matrix due to the utilization of MBs-based rolling circle amplification, AuNPs-aptamer labeling technique and ICP-MS detection. It can be used to determine DNA or single nucleotide polymorphisms (SNP) with an extremely low detection limit of 0.1 fM (1.0 x 10(-16) M) and a discrimination factor for single-base mismatch of 27. The proposed assay has been successfully used to detect DNA in serum sample with a recovery of 91-106% and a relative standard deviation (RSD) < 6% (n=6), suggesting that our method is sensitive and reliable. The ultra-high sensitivity and specificity, easiness of fabrication, operational convenience, short analysis time, better stability and robust resistibility to the complex matrix, make the assay a promising alternative for the detection of various DNA sequence in the clinical diagnosis. (c) 2014 Elsevier B.V. All rights reserved.

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