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18 results on '"Askim, Jon R."'

6. Optical sensor arrays for chemical sensing: the optoelectronic nose

Author

Askim, Jon R., Mahmoudi, Morteza, and Suslick, Kenneth S.

Abstract

A comprehensive review is presented on the development and state of the art of colorimetric and fluorometric sensor arrays. Optical arrays based on chemoresponsive colorants (dyes and nanoporous pigments) probe the chemical reactivity of analytes, rather than their physical properties. This provides a high dimensionality to chemical sensing that permits high sensitivity (often down to ppb levels), impressive discrimination among very similar analytes and exquisite fingerprinting of extremely similar mixtures over a wide range of analyte types, both in the gas and liquid phases.

Published
2013

16. An array sensor consisting of a single indicator with multiple concentrations and its application in ion discrimination.

Author

Hui Li, Yu Zhang, Chunfeng Duan, Yafeng Guan, Liang Feng, Mingyan Jia, and Askim, Jon R.

Subjects
OPTICAL sensors, IONS, BIOCHEMICAL substrates, COLORIMETRY, CHEMICAL research
Abstract

Optical sensor arrays typically require a large set of chemically responsive colorants to enhance discrimination capability. Conversely, we have proven that by using multiple concentrations of one indicator, the discrimination of various analytes could be realized. [ABSTRACT FROM AUTHOR]

Published
2014
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18. Colorimetric Recognition of Aldehydes and Ketones.

Author

Li Z, Fang M, LaGasse MK, Askim JR, and Suslick KS

Abstract

A colorimetric sensor array has been designed for the identification of and discrimination among aldehydes and ketones in vapor phase. Due to rapid chemical reactions between the solid-state sensor elements and gaseous analytes, distinct color difference patterns were produced and digitally imaged for chemometric analysis. The sensor array was developed from classical spot tests using aniline and phenylhydrazine dyes that enable molecular recognition of a wide variety of aliphatic or aromatic aldehydes and ketones, as demonstrated by hierarchical cluster, principal component, and support vector machine analyses. The aldehyde/ketone-specific sensors were further employed for differentiation among and identification of ten liquor samples (whiskies, brandy, vodka) and ethanol controls, showing its potential applications in the beverage industry., (© 2017 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.)

Published
2017
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