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Sensitive QD@SiO2-based immunoassay for triplex determination of cereal-borne mycotoxins

Overview of attention for article published in Talanta, May 2016
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Article details
Title
Sensitive QD@SiO2-based immunoassay for triplex determination of cereal-borne mycotoxins
Published in
Talanta, May 2016
DOI 10.1016/j.talanta.2016.05.015
Pubmed ID
Authors
Abstract

A sensitive tool for simultaneous quantitative determination of three analytes in one single well of a microtiter plate is shown for the first time. The developed technique is based on use of colloidal quantum dot enrobed into a silica shell (QD@SiO2) derivatives as a highly responsive label. Silica-coated quantum dots were prepared and subsequently modified via the co-hydrolysis with tetraethylorthosilicate (TEOS) and various organosilane reagents. Different surface modification schemes were compared in terms of applicability of the obtained particles for the multiplex immunoassay, e.g. stability and simplicity of their conjugation with biomolecules. As model system a multiplex immunosorbent assay for screening of three mycotoxins (deoxynivalenol, zearalenone and aflatoxin B1) in cereal-based products was realized via a co-immobilization of three different specific antibodies (anti- deoxynivalenol, anti-zearalenone and anti-aflatoxin B1) in one single well of a microtiter plate. Mycotoxins were simultaneously determined by labelling their conjugates with QD@SiO2 emitting in different parts of the visible spectrum. The limits of detection for the simultaneous determination were 6.1 and 5.3, 5.4 and 4.1, and 2.6 and 1.9µgkg(-1) for deoxynivalenol, zearalenone and aflatoxin B1 in maize and wheat, respectively. As confirmatory method, liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) was used.

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The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 9 22%
Researcher 9 22%
Student > Master 3 7%
Student > Doctoral Student 2 5%
Professor 2 5%
Other 3 7%
Unknown 13 32%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 6 15%
Chemistry 6 15%
Biochemistry, Genetics and Molecular Biology 4 10%
Environmental Science 2 5%
Veterinary Science and Veterinary Medicine 1 2%
Other 6 15%
Unknown 16 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 September 2016.
All research outputs
#22,758,309
of 25,373,627 outputs
Outputs from Talanta
#4,932
of 5,990 outputs
Outputs of similar age
#269,745
of 312,399 outputs
Outputs of similar age from Talanta
#27
of 43 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,990 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.