Pattern recognition based sensing: Carbohydrates

CARB 7

Eric V. Anslyn, anslyn@ccwf.cc.utexas.edu, Department of Chemistry and Biochemistry, University of Texas, Austin, TX 78712
Electronic noses and tongues are used as devices to interrogate complex vapors and solutions respectively. Organic-based sensing ensembles are excellent candidates for use in these devices. The receptors can be created using a combination of rational chemical design and modeling, with combinatorial synthesis techniques. Combinatorial techniques impart the differential behavior and cross-reactivity desired in an array sensing application. The patterns created can be interrogated with standard chemometric techniques, such as principle component analysis, discriminate analysis, and neural networks. This talk will focus on analysis of carbohydrates and their chirality, specifically using boronic acid-based receptors within various electronic tongue platforms.