Combining molecular recognition and pattern recognition

ORGN 216

Eric V. Anslyn, Department of Chemistry and Biochemistry, Department of Chemistry and Biochemistry, The University of Texas, Austin, TX 78712
The biological sensors of taste and smell rely upon the use of a series of differential receptors that fingerprint complex mixtures of analytes in solution or vapor phases respectively. The inherent simplicity and cross-reactivity of synthetic receptors that are commonly employed in the field of molecular recognition makes them ideal candidates for use in array sensing scenarios that are modeled after the senses of taste and smell. Further, the use of synthetic receptors created from combinatorial libraries that are biased toward a class of analytes nicely complements the requirements for fingerprinting complex solutions. Such uses of molecular recognition principles require pattern recognition protocols for the fingerprinting process. Examples of how molecular recognition and pattern recognition can be combined will be presented in the analysis of solutions of various naturally occurring analytes.