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Highly sensitive detection of a small molecule by a paired labels recognition system based lateral flow assay

Overview of attention for article published in Analytical & Bioanalytical Chemistry, March 2018
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Title
Highly sensitive detection of a small molecule by a paired labels recognition system based lateral flow assay
Published in
Analytical & Bioanalytical Chemistry, March 2018
DOI 10.1007/s00216-018-1003-0
Pubmed ID
Authors

Leina Dou, Bingxin Zhao, Tong Bu, Wentao Zhang, Qiong Huang, Lingzhi Yan, Lunjie Huang, Yanru Wang, Jianlong Wang, Daohong Zhang

Abstract

Small molecules are difficult to detect by conventional gold lateral flow assay (GLFA) sensitively because the test system must satisfy the conflict requirements between enough signal intensity and limited antibody (Ab) amount. In this work, a paired labels recognition (PLR)-based biosensor was designed by utilizing the specific binding of Ab and secondary antibody (anti-Ab) to enhance signal intensity and reduce antibody amount applied in small molecule detection. The PLR amplification system is fabricated by self-assembling the common detection probe, Au-labeled Ab (Au-Ab), and the signal booster, Au-labeled anti-Ab (Au-anti-Ab). Benefiting from this, a powerful network structure can be generated to accumulate numerous gold nanoparticles (GNPs) and thus significantly strengthen the signal intensity of detection. Therefore, a lower Ab amount will be applied to offer adequate signal strength, and further, the limit of detection will be obviously downregulated due to the more effective competition reaction. Using furazolidone (FZD) as a model analyte, we achieve a detection limit of as low as 1 ng mL-1, which was at least fivefold improved over that of the traditional GLFA. Furthermore, the practicality of this strategy was certificated in five different food samples. Graphical abstract A paired labels recognition (PLR) amplification system is fabricated by self-assembling the common detection probe, Au-labeled Ab (Au-Ab), and the signal booster, Au-labeled anti-Ab (Au-anti-Ab). In this novel strategy, owing to the recognition of both Ab and anti-Ab labeled on gold nanoparticles (GNPs), a powerful network structure can be generated to accumulate numerous GNPs and thus significantly strengthen the signal intensity of detection.

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Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 23%
Student > Master 3 14%
Other 2 9%
Professor > Associate Professor 2 9%
Researcher 2 9%
Other 2 9%
Unknown 6 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 14%
Chemistry 3 14%
Agricultural and Biological Sciences 3 14%
Nursing and Health Professions 2 9%
Chemical Engineering 1 5%
Other 2 9%
Unknown 8 36%
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 24 April 2018.
All research outputs
#22,767,715
of 25,382,440 outputs
Outputs from Analytical & Bioanalytical Chemistry
#7,543
of 9,619 outputs
Outputs of similar age
#304,244
of 344,304 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#149
of 200 outputs
Altmetric has tracked 25,382,440 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 9,619 research outputs from this source. They receive a mean Attention Score of 3.1. 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 200 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.