Literature DB >> 25460900

Gold nanoparticle-based dynamic light scattering immunoassay for ultrasensitive detection of Listeria monocytogenes in lettuces.

Xiaolin Huang1, Zhaodi Xu2, Yan Mao3, Yanwei Ji4, Hengyi Xu5, Yonghua Xiong6, Yanbin Li7.   

Abstract

Gold nanoparticle (GNP)-based dynamic light scattering (DLS) assay has been widely used for sensitive detection of small analytes based on analyte binding-induced GNP aggregation. However, the use of this new method to detect large biological objectives, such as pathogenic bacteria, has not been reported. This study is the first to describe a homogeneous GNP-based DLS immunoassay for ultrasensitive detection of Listeria monocytogenes. Compared with small analytes, L. monocytogenes has a larger surface and a higher number of antigen epitopes, which serve as carriers that bind to GNP probes to form "GNP-coated bacteria" complexes. To achieve better analytical performance, various parameters including GNP diameter and concentration, amount of labeled antibodies, and immunoreaction time were systematically investigated and optimized. Under the developed optimum conditions, limit of detection (LOD) for L. monocytogenes reached as low as 3.5×10(1)CFUmL(-1) in 0.01M phosphate-buffered saline. Coupled with a large-volume immunomagnetic separation method, LOD for spiked lettuce samples reached 2.2×10(1)CFUg(-1), which was one order of magnitude lower than the maximum limit imposed in Canada (100CFUg(-1)). The proposed method also exhibited excellent discrimination against 17 common pathogenic bacteria in lettuces. The developed GNP-based DLS immunoassay is highly promising as an approach for detecting large biological objectives.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Dynamic light scattering; Gold nanoparticle; Immunoassay; Immunomagnetic separation; Listeria monocytogenes

Mesh:

Substances:

Year:  2014        PMID: 25460900     DOI: 10.1016/j.bios.2014.11.016

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


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