Design and elementary evaluation of a highly-automated fluorescence-based instrument system for on-site detection of food-borne pathogens
Author(s)
Type
Journal Article
Abstract
A simple, highly-automated instrument system used for on-site detection of foodborne pathogens based on fluorescence was designed, fabricated, and preliminarily tested in this paper. A corresponding method has been proved effective in our previous studies. This system utilizes a light-emitting diode (LED) to excite fluorescent labels and a spectrometer to record the fluorescence signal from samples. A rotation stage for positioning and switching samples was innovatively designed for high-throughput detection, ten at most in one single run. We also developed software based on LabVIEW for data receiving, processing, and the control of the whole system. In the test of using a pure quantum dot (QD) solution as a standard sample, detection results from this home-made system were highly-relevant with that from a well-commercialized product and even slightly better reproducibility was found. And in the test of three typical kinds of food-borne pathogens, fluorescence signals recorded by this system are highly proportional to the variation of the sample concentration, with a satisfied limit of detection (LOD) (nearly 102–103 CFU·mL−1 in food samples). Additionally, this instrument system is low-cost and easy-to-use, showing a promising potential for on-site rapid detection of food-borne pathogens
Date Issued
2017-03-01
Date Acceptance
2017-02-21
Citation
Sensors, 2017, 17 (3)
ISSN
1424-8220
Publisher
MDPI AG
Journal / Book Title
Sensors
Volume
17
Issue
3
Copyright Statement
©2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open accessarticle distributed under the terms and conditions of the Creative Commons Attribution(CC BY) license (http://creativecommons.org/licenses/by/4.0/).
License URL
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000398818700015&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Physical Sciences
Technology
Chemistry, Analytical
Engineering, Electrical & Electronic
Instruments & Instrumentation
Chemistry
Engineering
food-borne pathogens
fluorescence
automated instrument system
on-site detection
quantum dots
LabVIEW
FOODBORNE PATHOGENS
QUANTUM DOTS
IMMUNOMAGNETIC SEPARATION
LISTERIA-MONOCYTOGENES
ENVIRONMENTAL WATER
ESCHERICHIA-COLI
RAPID DETECTION
BACTERIA
SALMONELLA
BIOSENSORS
Publication Status
Published
Article Number
ARTN 442
Date Publish Online
2017-02-23