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Morphology and kinetic modeling of molecularly imprinted organosilanol polymer matrix for specific uptake of creatinine

Overview of attention for article published in Analytical & Bioanalytical Chemistry, July 2015
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Title
Morphology and kinetic modeling of molecularly imprinted organosilanol polymer matrix for specific uptake of creatinine
Published in
Analytical & Bioanalytical Chemistry, July 2015
DOI 10.1007/s00216-015-8841-9
Pubmed ID
Authors

Qian Yee Ang, Siew Chun Low

Abstract

Molecular imprinting is an emerging technique to create imprinted polymers that can be applied in affinity-based separation, in particular, biomimetic sensors. In this study, the matrix of siloxane bonds prepared from the polycondensation of hydrolyzed tetraethoxysilane (TEOS) was employed as the inorganic monomer for the formation of a creatinine (Cre)-based molecularly imprinted polymer (MIP). Doped aluminium ion (Al(3+)) was used as the functional cross-linker that generated Lewis acid sites in the confined silica matrix to interact with Cre via sharing of lone pair electrons. Surface morphologies and pore characteristics of the synthesized MIP were determined by field emission scanning electron microscopy (FESEM) and Brunauer-Emmet-Teller (BET) analyses, respectively. The imprinting efficiency of MIPs was then evaluated through the adsorption of Cre with regard to molar ratios of Al(3+). A Cre adsorption capacity of up to 17.40 mg Cre g(-1) MIP was obtained and adsorption selectivity of Cre to its analogues creatine (Cr) and N-hydroxysuccinimide (N-hyd) were found to be 3.90 ± 0.61 and 4.17 ± 3.09, respectively. Of all the studied MIP systems, chemisorption was predicted as the rate-limiting step in the binding of Cre. The pseudo-second-order chemical reaction kinetic provides the best correlation of the experimental data. Furthermore, the equilibrium adsorption capacity of MIP fit well with a Freundlich isotherm (R (2) = 0.98) in which the heterogeneous surface was defined. Graphical Abstract Affinity binding of Cre to specific recognition sites based on shape factor.

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Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 21%
Student > Bachelor 3 21%
Lecturer > Senior Lecturer 2 14%
Student > Master 1 7%
Student > Ph. D. Student 1 7%
Other 0 0%
Unknown 4 29%
Readers by discipline Count As %
Chemistry 4 29%
Chemical Engineering 3 21%
Biochemistry, Genetics and Molecular Biology 1 7%
Engineering 1 7%
Unknown 5 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 26 August 2015.
All research outputs
#22,778,604
of 25,394,764 outputs
Outputs from Analytical & Bioanalytical Chemistry
#7,552
of 9,624 outputs
Outputs of similar age
#236,787
of 277,481 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#77
of 196 outputs
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