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has been cited by the following article:

• TITLE: Selective Recognition and Detection of L-Aspartic Acid by Molecularly Imprinted Polymer in Aqueous Solution

  AUTHORS: Nazia Tarannum, Meenakshi Singh

  KEYWORDS: Amino Acid, L-Aspartic Acid, Molecularly Imprinted Polymer (MIP), Computational Modeling, Carboxybetaine Polymer, Selective Recognition

  JOURNAL NAME: American Journal of Analytical Chemistry, Vol.2 No.8, December 8, 2011

  ABSTRACT: Molecularly imprinted polymers selective for L-aspartic acid (LAA) have been prepared using the carboxy-betaine polymer bearing zwitterionic centres along the backbone. LAA is well known to promote good me-tabolism, treat fatigue and depression along with its significance in accurate age estimation in the field of forensic science and is an important constituent of ‘aspartame’, the low calorie sweetener. In order to study the intermolecular interactions in the prepolymerization mixture between the monomer and the template (LAA)/non-template (DAA), a computational approach was developed. It was based on the binding energy of the complex between the template and functional monomer. The results demonstrate that electrostatic in-teractions primarily guide the imprinting protocol. The MIP was able to selectively and specifically take up LAA from aqueous solution, human blood serum and certain pharmaceutical samples quantitatively. Hence, a facile, specific and selective technique to detect the amino acid, LAA in the presence of various interfer-rants, in different kinds of matrices is presented.