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Design and elementary evaluation of a highly-automated fluorescence-based instrument system for on-site detection of food-borne pathogens

Title: Design and elementary evaluation of a highly-automated fluorescence-based instrument system for on-site detection of food-borne pathogens
Authors: Lu, Z
Zhang, J
Xu, L
Li, Y
Chen, S
Ye, Z
Wang, J
Item 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
Issue Date: 1-Mar-2017
Date of Acceptance: 21-Feb-2017
URI: http://hdl.handle.net/10044/1/82447
DOI: 10.3390/s17030442
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/).
Keywords: 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
LabVIEW
automated instrument system
fluorescence
food-borne pathogens
on-site detection
quantum dots
Food Microbiology
Limit of Detection
Quantum Dots
Reproducibility of Results
Reproducibility of Results
Quantum Dots
Food Microbiology
Limit of Detection
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
0502 Environmental Science and Management
0602 Ecology
0301 Analytical Chemistry
0805 Distributed Computing
0906 Electrical and Electronic Engineering
Analytical Chemistry
Publication Status: Published
Article Number: ARTN 442
Online Publication Date: 2017-02-23
Appears in Collections:Materials



This item is licensed under a Creative Commons License Creative Commons