A multicomponent sensing ensemble in solution: Differentiation between structurally similar analytes

Sheryl L. Wiskur; Pierre N. Floriano; Eric V. Anslyn; John T. McDevitt

doi:10.1002/anie.200351058

A multicomponent sensing ensemble in solution: Differentiation between structurally similar analytes

Sheryl L. Wiskur, Pierre N. Floriano, Eric V. Anslyn, John T. McDevitt

Research output: Contribution to journal › Article › peer-review

Abstract

A highly selective sensing ensemble was created through the use of multiple synthetic receptors in solution. Two hosts were selected that had differential responses to tartrate and malate and to the two indicators chosen. Upon using both hosts and indicators in solution, the simultaneous detection of these two analytes was achieved through pattern recognition by using neural-network analysis (see scheme).

Original language	English (US)
Pages (from-to)	2070-2072
Number of pages	3
Journal	Angewandte Chemie - International Edition
Volume	42
Issue number	18
DOIs	https://doi.org/10.1002/anie.200351058
State	Published - May 9 2003

Keywords

Analytical methods
Neural networks
Receptors
Sensors
Supramolecular chemistry

ASJC Scopus subject areas

Catalysis
General Chemistry

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10.1002/anie.200351058

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abstract = "A highly selective sensing ensemble was created through the use of multiple synthetic receptors in solution. Two hosts were selected that had differential responses to tartrate and malate and to the two indicators chosen. Upon using both hosts and indicators in solution, the simultaneous detection of these two analytes was achieved through pattern recognition by using neural-network analysis (see scheme).",

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AU - McDevitt, John T.

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KW - Neural networks

KW - Receptors

KW - Sensors

KW - Supramolecular chemistry

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A multicomponent sensing ensemble in solution: Differentiation between structurally similar analytes

Abstract

Keywords

ASJC Scopus subject areas

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