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Design and Elementary Evaluation of a Highly-Automated Fluorescence-Based Instrument System for On-Site Detection of Food-Borne Pathogens

View Article: PubMed Central - PubMed

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.

No MeSH data available.


(a) Correlation tests for each single-type QD solution between these two instruments at the wavelength of 528 nm, 572 nm, and 621 nm, respectively; (b) Correlation tests for the mixed samples.
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sensors-17-00442-f013: (a) Correlation tests for each single-type QD solution between these two instruments at the wavelength of 528 nm, 572 nm, and 621 nm, respectively; (b) Correlation tests for the mixed samples.

Mentions: Figure 13a,b show the correlation of the detection results in terms of the intensity of optic signal between this home-made instrument system and the Synergy™ H1. The correlation coefficient (R value) was 0.99974, 0.99973, and 0.99847 for each type of single QD solutions, and the results for the mixed samples were 0.99596, 0.99939, and 0.99723 in three wavelengths, respectively, all of which were at a high level, suggesting a similar performance between these two instruments at these three wavelengths, though in different orders of magnitude in the recording of fluorescent intensity.


Design and Elementary Evaluation of a Highly-Automated Fluorescence-Based Instrument System for On-Site Detection of Food-Borne Pathogens
(a) Correlation tests for each single-type QD solution between these two instruments at the wavelength of 528 nm, 572 nm, and 621 nm, respectively; (b) Correlation tests for the mixed samples.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC5375728&req=5

sensors-17-00442-f013: (a) Correlation tests for each single-type QD solution between these two instruments at the wavelength of 528 nm, 572 nm, and 621 nm, respectively; (b) Correlation tests for the mixed samples.
Mentions: Figure 13a,b show the correlation of the detection results in terms of the intensity of optic signal between this home-made instrument system and the Synergy™ H1. The correlation coefficient (R value) was 0.99974, 0.99973, and 0.99847 for each type of single QD solutions, and the results for the mixed samples were 0.99596, 0.99939, and 0.99723 in three wavelengths, respectively, all of which were at a high level, suggesting a similar performance between these two instruments at these three wavelengths, though in different orders of magnitude in the recording of fluorescent intensity.

View Article: PubMed Central - PubMed

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.

No MeSH data available.