.png){kind=icon}
.png){kind=icon}
Return
Gold nanoparticle-based dynamic light scattering immunoassay for ultrasensitive detection of Listeria monocytogenes in lettuces
.png){kind=icon}
PRE
AI
X
Z
Y
许
Y
李
DOI：10.1016/j.bios.2014.11.016.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
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 x 10(1) CFU mL(-1) in 0.01 M phosphate-buffered saline. Coupled with a large-volume immunomagnetic separation method, LOD for spiked lettuce samples reached 2.2 x 10(1) CFU g(-1), which was one order of magnitude lower than the maximum limit imposed in Canada (100 CFU g(-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. (C) 2014 Elsevier B.V. All rights reserved.
Keywords:
Listeria monocytogenes
Dynamic light scattering
Immunoassay
Gold nanoparticle
Immunomagnetic separation
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
10.5
Papers:
1.8W
Citations:
7.7W
Organization
Cited Papers