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Preparation of a self-cleanable molecularly imprinted sensor based on surface-enhanced Raman spectroscopy for selective detection of R6G

Overview of attention for article published in Analytical & Bioanalytical Chemistry, June 2017
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Title
Preparation of a self-cleanable molecularly imprinted sensor based on surface-enhanced Raman spectroscopy for selective detection of R6G
Published in
Analytical & Bioanalytical Chemistry, June 2017
DOI 10.1007/s00216-017-0410-y
Pubmed ID
Authors

Hongji Li, Zirun Wang, Xiaonan Wang, Jiaqi Jiang, Yeqing Xu, Xiqing Liu, Yongsheng Yan, Chunxiang Li

Abstract

Novel molecularly imprinted polymers (MIPs) based on the technique of surface-enhanced Raman scattering (SERS) were successfully prepared. Firstly, ZnO nanorods were fabricated with Ag by reduction of Ag(+) on the surface of the ZnO nanorods. Then, ZnO/Ag heterostructures were used as the substrate, rhodamine 6G was used as the template molecule, acrylamide was used as the functional monomer, ethylene glycol dimethacrylate was used as the cross-linker, and 2,2'-azobis(2-methylpropionitrile) was used as the initiator to prepare the ZnO/Ag MIPs (ZOA-MIPs). Through characterization analysis, it was proved that the novel ZOA-MIPs exhibited excellent SERS properties and selectivity. Under the optimal conditions, there was a good linear relationship (R (2) = 0.996) between the Raman signal (at 1654 cm(-1)) and the concentration of the templates, and the detection limit was 10(-13) mol L(-1). It was also proved that the ZOA-MIPs had the property of self-cleaning, resulting in good reusability. It is envisaged that the sensitivity of SERS coupled with the selectivity of MIPs could result in a promising chemosensor for practical applications.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 25%
Student > Master 3 25%
Student > Doctoral Student 2 17%
Lecturer 1 8%
Researcher 1 8%
Other 0 0%
Unknown 2 17%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 3 25%
Engineering 3 25%
Chemistry 3 25%
Biochemistry, Genetics and Molecular Biology 1 8%
Unknown 2 17%
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 10 July 2017.
All research outputs
#19,951,180
of 25,382,440 outputs
Outputs from Analytical & Bioanalytical Chemistry
#6,061
of 9,619 outputs
Outputs of similar age
#240,052
of 331,454 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#56
of 143 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% 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 31st percentile – i.e., 31% 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 331,454 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 143 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.