Issue 87, 2017, Issue in Progress

Rapid and sensitive detection of Salmonella enteritidis by a pre-concentrated immunochromatographic assay in a large-volume sample system

Abstract

A pre-concentrated immunochromatographic assay for Salmonella enteritidis (S. enteritidis) detection was developed based on the unique optical and magnetic properties of magnetic nanoparticles (MNPs). The target was easily concentrated from a large volume of sample by using immune MNPs (IMNPs) with superparamagnetism. The results could be directly distinguished using colored IMNPs on test strip. A target elution step was not required in the proposed method. The key parameters, including coupling pH, blocking agents, and amount of IMNPs on the test strip, were optimized. Colloidal gold-based immunochromatographic assay (CG-ICA), MNP-based immunochromatographic assay (MNP-ICA), and MNP-ICA for a large-volume sample (large-volume MNP-ICA) were compared. Under optimal conditions, the sensitivity of large-volume MNP-ICA was 1.95 × 105 CFU mL−1, which was 10 times higher than that of MNP-ICA and 1000 times higher than that of CG-ICA, owing to the pre-concentration from a large sample volume. Moreover, the antibody consumption of large-volume MNP-ICA was lower than that of conventional CG-ICA. The entire detection time of the proposed method was only 30 min. In general, the proposed method may be considered as a rapid, sensitive, and simple screening tool for on-site detection of S. enteritidis as well as other pathogens.

Graphical abstract: Rapid and sensitive detection of Salmonella enteritidis by a pre-concentrated immunochromatographic assay in a large-volume sample system

Supplementary files

Article information

Article type
Paper
Submitted
06 Oct 2017
Accepted
16 Nov 2017
First published
04 Dec 2017
This article is Open Access
Creative Commons BY-NC license

RSC Adv., 2017,7, 55141-55147

Rapid and sensitive detection of Salmonella enteritidis by a pre-concentrated immunochromatographic assay in a large-volume sample system

M. Duan, Y. Huang, S. Wu, G. Li, S. Wang, M. Chen, C. Wang, D. Liu, C. Liu and W. Lai, RSC Adv., 2017, 7, 55141 DOI: 10.1039/C7RA11006E

This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence. You can use material from this article in other publications, without requesting further permission from the RSC, provided that the correct acknowledgement is given and it is not used for commercial purposes.

To request permission to reproduce material from this article in a commercial publication, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party commercial publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements