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Fluorescence Detection of DNA Based on Non-covalent π-π Stacking Interaction between 1-Pyrenebutanoic Acid and Hypericin

Overview of attention for article published in Analytical Sciences, May 2016
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Title
Fluorescence Detection of DNA Based on Non-covalent π-π Stacking Interaction between 1-Pyrenebutanoic Acid and Hypericin
Published in
Analytical Sciences, May 2016
DOI 10.2116/analsci.32.523
Pubmed ID
Authors

Weiwen Hu, Jian Zhang, Jinming Kong

Abstract

Herein, we applied hypericin (Hyp) for the detection of DNA on streptavidin-functionalized magnetic beads (SA-MB) through non-covalent π-π stacking interaction between 1-pyrenebutanoic acid (PBA) and Hyp. Briefly, the target DNA (tDNA) was hybridized to morpholino oligonucleotide (MO) that was immobilized on the surface of SA-MB. PBA was incorporated to the backbone of tDNA by means of phosphate-zirconium-carboxylate coordination reaction. Then, fluorescent Hyp was linked to PBA via π-π stacking interaction. Under the optimal conditions, this biosensor displayed a good linear relationship between the fluorescence intensity and the tDNA concentrations in the range from 1 to 100 nM with a low detection limit of 2.9 nM. The mismatch type in a specific DNA sequence can also be efficiently discriminated. Compared with some other reports, this method is more convenient, and has great potential for practical applications.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 17%
Unknown 5 83%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 17%
Other 1 17%
Student > Doctoral Student 1 17%
Unknown 3 50%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 1 17%
Biochemistry, Genetics and Molecular Biology 1 17%
Unknown 4 67%
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 18 May 2016.
All research outputs
#18,345,259
of 23,567,572 outputs
Outputs from Analytical Sciences
#718
of 952 outputs
Outputs of similar age
#212,566
of 306,563 outputs
Outputs of similar age from Analytical Sciences
#5
of 10 outputs
Altmetric has tracked 23,567,572 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 952 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 306,563 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.