Automated microwave double resonance spectroscopy: a tool to identify and characterize chemical compounds

Martin-Drumel, Marie-Aline

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https://hdl.handle.net/2142/91132 Copy

Description

Title

Automated microwave double resonance spectroscopy: a tool to identify and characterize chemical compounds

Author(s)

Martin-Drumel, Marie-Aline

Contributor(s)

• Crabtree, Kyle N.
• McGuire, Brett A.
• Patterson, David
• McCarthy, Michael C.

Issue Date

2016-06-22

Keyword(s)

Spectroscopy as an analytical tool

Date of Ingest

2017-01-26T21:38:34Z

Abstract

Owing to its unparalleled structural specificity, rotational spectroscopy is a powerful technique to unambiguously identify and characterize volatile, polar molecules. We present here a new experimental approach, automated microwave double resonance (AMDOR) spectroscopy, to rapidly determine the rotational constants of these compounds without any \textit{a priori} knowledge of elemental composition or molecular structure. This task is achieved by rapidly acquiring the classical (frequency vs. intensity) broadband spectrum of a molecule using chirped-pulse Fourier transform microwave (FTMW) spectroscopy, and subsequently analyzing it in near-real time using complementary cavity FTMW detection and double resonance. AMDOR measurements provide a unique ``barcode'' for each compound from which rotational constants can be extracted. To illustrate the power of this approach, AMDOR spectra of three aroma compounds --- \textit{trans}-cinnamaldehyde, $\alpha$- and $\beta$-ionone --- have been recorded and analyzed. The prospects to extend this approach to mixture characterization and purity assessment are described.

Publisher

International Symposium on Molecular Spectroscopy

Type of Resource

text

Genre of Resource

Conference Paper / Presentation

Language

En

Permalink

http://hdl.handle.net/2142/91132

Copyright and License Information

Copyright 2016 by the authors

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