Issue 54, 2016

Detection of Salmonella bacteria in milk using gold-coated magnetic nanoparticle clusters and lateral flow filters

Abstract

A novel method was developed for the detection of Salmonella bacteria using gold-coated magnetic nanoparticle clusters (Au/MNCs) and lateral flow filters. Unlike a conventional lateral flow immunoassay (LFA) membrane, where antibodies are immobilized on test and control lines to observe a signal, the test line in the new method is formed simply by pressing a nitrocellulose membrane to decrease its thickness. Half-antibody fragment-functionalized Au/MNCs were used to capture Salmonella in milk and then dispersed in a small volume of buffer solution in which one end of the lateral flow filter was immersed. The free Au/MNCs rose to the pressed test line, while the Salmonella–Au/MNC complexes remained in the solution because they were too large to pass through the pores inside the lateral flow filter. The flow of free Au/MNCs was blocked at the test line because of the reduced pore size, and their accumulation caused the test line to darken. The color of the test line was inversely proportional to the Salmonella concentration, and the limit of detection for Salmonella in milk was determined to be 103 CFU mL−1 after image processing. A control test using Escherichia coli, Staphylococcus aureus, and Vibrio parahaemolyticus revealed that the new lateral flow filtration method with Au/MNCs is highly selective for the detection of Salmonella.

Graphical abstract: Detection of Salmonella bacteria in milk using gold-coated magnetic nanoparticle clusters and lateral flow filters

Supplementary files

Article information

Article type
Paper
Submitted
01 Mar 2016
Accepted
09 May 2016
First published
11 May 2016
This article is Open Access
Creative Commons BY license

RSC Adv., 2016,6, 48445-48448

Detection of Salmonella bacteria in milk using gold-coated magnetic nanoparticle clusters and lateral flow filters

J. Hwang, D. Kwon, S. Lee and S. Jeon, RSC Adv., 2016, 6, 48445 DOI: 10.1039/C6RA05446C

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

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