Portable combination of Fourier transform infrared spectroscopy and differential mobility spectrometry for advanced vapor phase analysis

被引:13
作者
Hagemann, L. Tamina [1 ,2 ]
McCartney, Mitchell M. [1 ]
Fung, Alexander G. [1 ]
Peirano, Daniel J. [1 ]
Davis, Cristina E. [1 ]
Mizaikoff, Boris [2 ]
机构
[1] Univ Calif Davis, Dept Mech & Aerosp Engn, Davis, CA 95616 USA
[2] Ulm Univ, Inst Analyt & Bioanalyt Chem, D-89081 Ulm, Germany
基金
美国国家科学基金会;
关键词
GAS-PHASE; ION; HYDROGEN; CHROMATOGRAPHY; CONFORMATIONS; DISSOCIATION; EVOLUTION; METHANE; BREATH; FAIMS;
D O I
10.1039/c8an01192c
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Designing mobile devices for the analysis of complex sample mixtures containing a variety of analytes at different concentrations across a large dynamic range remains a challenging task in many analytical scenarios. To meet this challenge, a compact hybrid analytical platform has been developed combining Fourier transform infrared spectroscopy based on substrate-integrated hollow waveguides (iHWG-FTIR) with gas chromatography coupled differential mobility spectrometry (GC-DMS). Due to the complementarity of these techniques regarding analyte type and concentration, their combination provides a promising tool for the detection of complex samples containing a broad range of molecules at different concentrations. To date, the combination of infrared spectroscopy and ion mobility techniques remains expensive and bound to a laboratory utilizing e.g. IMS as prefilter or IR as ionization source. In the present study, a cost-efficient and portable solution has been developed and characterized representing the first truly hyphenated IR-DMS system. As a model analyte mixture, 5 ppm isopropylmercaptan (IPM) in methane (CH4) were diluted, and the concentration-dependent DMS signal of IPM along with the concentration-dependent IR signal of CH4 were recorded for all three hybrid IR-DMS systems. While guiding the sample through the iHWG-FTIR or the GC-DMS first did not affect the obtained signals, optimizing the IR data acquisition parameters did benefit the analytical results.
引用
收藏
页码:5683 / 5691
页数:9
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