Literature DB >> 11679238

"Bite-and-Switch" approach using computationally designed molecularly imprinted polymers for sensing of creatinine.

S Subrahmanyam1, S A Piletsky, E V Piletska, B Chen, K Karim, A P Turner.   

Abstract

A method for the selective detection of creatinine is reported, which is based on the reaction between polymerised hemithioacetal, formed by allyl mercaptan, o-phthalic aldehyde, and primary amine leading to the formation of fluorescent isoindole complex. This method has been demonstrated previously for the detection of creatine using creatine-imprinted molecularly imprinted polymers (MIPs) Since MIPs created using traditional methods were unable to differentiate between creatine and creatinine, a new approach to the rational design of a molecularly imprinted polymer (MIP) selective for creatinine was developed using computer simulation. A virtual library of functional monomers was assigned and screened against the target molecule, creatinine, using molecular modelling software. The monomers giving the highest binding score were further tested using simulated annealing in order to mimic the complexation of the functional monomers with template in the monomer mixture. The result of this simulation gave an optimised MIP composition. The computationally designed polymer demonstrated superior selectivity in comparison to the polymer prepared using traditional approach, a detection limit of 25 microM and good stability. The "Bite-and-Switch" approach combined with molecular imprinting can be used for the design of assays and sensors, selective for amino containing substances.

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Year:  2001        PMID: 11679238     DOI: 10.1016/s0956-5663(01)00191-9

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  8 in total

1.  Quantitative prediction of imprinting factor of molecularly imprinted polymers by artificial neural network.

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Journal:  J Comput Aided Mol Des       Date:  2005-10-22       Impact factor: 3.686

2.  Combinatorial screening of polymer precursors for preparation of benzo[α] pyrene imprinted polymer: an ab initio computational approach.

Authors:  Muntazir S Khan; Prateek S Wate; Reddithota J Krupadam
Journal:  J Mol Model       Date:  2011-08-30       Impact factor: 1.810

3.  Serum creatinine detection by a conducting-polymer-based electrochemical sensor to identify allograft dysfunction.

Authors:  Fang Wei; Scott Cheng; Yael Korin; Elaine F Reed; David Gjertson; Chih-ming Ho; H Albin Gritsch; Jeffrey Veale
Journal:  Anal Chem       Date:  2012-08-24       Impact factor: 6.986

4.  Rational synthesis of pindolol imprinted polymer by non-covalent protocol based on computational approach.

Authors:  Kiran Kumar Tadi; Ramani V Motghare
Journal:  J Mol Model       Date:  2013-05-18       Impact factor: 1.810

5.  Synthesis and computational investigation of molecularly imprinted nanospheres for selective recognition of alpha-tocopherol succinate.

Authors:  Theeraphon Piacham; Chanin Nantasenamat; Chartchalerm Isarankura-Na-Ayudhya; Virapong Prachayasittikul
Journal:  EXCLI J       Date:  2013-08-14       Impact factor: 4.068

6.  Computational design of peptide ligands for ochratoxin A.

Authors:  Meike Heurich; Zeynep Altintas; Ibtisam E Tothill
Journal:  Toxins (Basel)       Date:  2013-06-21       Impact factor: 4.546

7.  A functional monomer is not enough: principal component analysis of the influence of template complexation in pre-polymerization mixtures on imprinted polymer recognition and morphology.

Authors:  Kerstin Golker; Björn C G Karlsson; Annika M Rosengren; Ian A Nicholls
Journal:  Int J Mol Sci       Date:  2014-11-10       Impact factor: 5.923

8.  On the influence of crosslinker on template complexation in molecularly imprinted polymers: a computational study of prepolymerization mixture events with correlations to template-polymer recognition behavior and NMR spectroscopic studies.

Authors:  Siamak Shoravi; Gustaf D Olsson; Björn C G Karlsson; Ian A Nicholls
Journal:  Int J Mol Sci       Date:  2014-06-12       Impact factor: 5.923

  8 in total

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