↓ Skip to main content

Improvement of imprinting effect of ionic liquid molecularly imprinted polymers by use of a molecular crowding agent

Overview of attention for article published in Analytical & Bioanalytical Chemistry, December 2017
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
31 Mendeley
Title
Improvement of imprinting effect of ionic liquid molecularly imprinted polymers by use of a molecular crowding agent
Published in
Analytical & Bioanalytical Chemistry, December 2017
DOI 10.1007/s00216-017-0760-5
Pubmed ID
Authors

Man Jia, Jian Yang, Ya Kun Sun, Xi Bai, Tao Wu, Zhao Sheng Liu, Haji Akber Aisa

Abstract

We aimed to improve the imprinting effect of ionic liquid molecularly imprinted polymers (MIPs) by use of a molecular crowding agent. The ionic liquid 1-vinyl-3-ethylimidazolium tetrafluoroborate ([VEIm][BF4]) was used as the functional monomer and aesculetin was used as the template molecule in a crowding environment, which was made up of a tetrahydrofuran solution of polystyrene. The ionic liquid MIPs that were prepared in the crowding environment displayed an enhanced imprinting effect. NMR peak shifts of active hydrogen of aesculetin suggested that interaction between the functional monomer and the template could be increased by the use of a crowding agent in the self-assembly process. The retention and selectivity of aesculetin were affected greatly by high molecular crowding, the amount of high molecular weight crowding agent, and the ratio of [VEIm][BF4] to aesculetin. The optimal MIPs were used as solid-phase extraction sorbents to extract aesculetin from Cichorium glandulosum. A calibration curve was obtained with aesculetin concentrations from 0.0005 to 0.05 mg mL-1 (correlation coefficient R 2 of 0.9999, y = 1519x + 0.0923). The limit of quantification was 0.12 μg mL-1, and the limit of detection was 0.05 μg mL-1. The absolute recovery of aesculetin was (80 ± 2)% (n = 3), and the purity of aesculetin was (92 ± 0.5)% (n = 5). As a conclusion, molecular crowding is an effective approach to obtain ionic liquid MIPs with high selectivity even in a polar solvent environment.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 13%
Student > Doctoral Student 2 6%
Professor 2 6%
Professor > Associate Professor 2 6%
Student > Master 1 3%
Other 1 3%
Unknown 19 61%
Readers by discipline Count As %
Chemistry 5 16%
Agricultural and Biological Sciences 2 6%
Materials Science 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Unknown 22 71%
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 17 January 2018.
All research outputs
#22,764,772
of 25,382,440 outputs
Outputs from Analytical & Bioanalytical Chemistry
#7,543
of 9,619 outputs
Outputs of similar age
#386,836
of 447,047 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#121
of 164 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.
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 447,047 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 164 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.