4.8 Article

Gold nanoparticles labeling with hybridization chain reaction amplification strategy for the sensitive detection of HepG2 cells by inductively coupled plasma mass spectrometry

期刊

BIOSENSORS & BIOELECTRONICS
卷 86, 期 -, 页码 736-740

出版社

ELSEVIER ADVANCED TECHNOLOGY
DOI: 10.1016/j.bios.2016.07.073

关键词

Circulating tumor cells; Gold nanoparticles; Aptamer; Hybridization chain reaction; Inductively coupled plasma mass spectrometry

资金

  1. National Natural Science Foundation of China [21375097, 21205090, 21575107]
  2. National Basic Research Program of China (973 Program) [2013CB933900]
  3. Fundamental Research Funds for the Central Universities - Ministry of Education of China [114009]

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B.V Sensitive detection of circulating tumor cells (CTCs) is of great significance in the early detection of cancer and cancer metastasis. This work reported an efficient, specific, and sensitive immunoassay protocol for detection of tumor cells by using inductively coupled plasma mass spectrometry (ICP-MS) with gold nanoparticles (AuNPs) labeling and hybridization chain reaction (HCR) amplification. In the established approach, antibodies against epithelial cell adhesion molecule (anti-EpCAM) conjugated magnetic beads (MBs) were used for selective capture of tumor cells from peripheral blood, aptamer was applied for the recognition of captured tumor cells, and AuNPs labeled DNA concatamer was used as the signal probe for tumor cell labeling and ICP-MS detection. Due to the dual amplification effect of AuNPs and HCR, the limit of detection of this ICP-MS based method for HepG2 cells was as low as 15 cells, and the linear range was 40-8000 cells with the relative standard deviation for seven replicate detections of 200 HepG2 cells was 8.7%. Furthermore, the applicability of the method for the analysis of peripheral blood samples was demonstrated by the spiking tests. The established method was highly specific and sensitive for the detection of HepG2 cells, and has a good application potential in clinical diagnosis. (C) 2016 Elsevier B.V. All rights reserved.

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