103
Views
2
CrossRef citations to date
0
Altmetric
BIOANALYTICAL

A Novel Fluorescence Immunoassay Based on Two-time Amplified Fluorescence Signal by Hemin and Magnetic Nanoparticles for the Detection of Antigen

, &
Pages 1988-2000 | Received 31 Mar 2008, Accepted 05 May 2008, Published online: 06 Aug 2008
 

Abstract

A novel, selective, and sensitive magnetic-mimetic enzyme fluorescence immunoassay method for antigen detection has been developed by taking advantage of a magnetic separation process and the amplification feature of the hemin label. This method is based on a twice amplified fluorescence signal. The signal is first amplified due to the ultrasmall size and the high surface-to-volume ratio of the silica-coated magnetite nanoparticles, which enable the nanoparticles to carry much more antibodies. Second, the mimetic enzyme (hemin) as a labeling reagent catalyzes the reaction of p-hydroxyphenyl acetic acid and H2O2 can further amplify the fluorescence signal. This protocol was also evaluated for a sandwich-type immunoassay of human IgG, and the calibration graph for human IgG was linear over the range of 0–100 ng mL−1 with a detection limit of 9.8 ng mL−1. This method can easily separate magnetic nanoparticles from the solution, which simplified the process and played a promising role for various applications in immunoassay.

This work was supported by the Priority Specialty Construction Project of Xiamen Medical Center (Xiamen financial construction, 2007, No. 46).

Notes

a Mean of six determinations.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 768.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.