Department of Mechanical and Aerospace Engineering, University of California Davis, CA 95616, USA.
Analyst. 2018 Nov 19;143(23):5683-5691. doi: 10.1039/c8an01192c.
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.
设计用于分析含有多种不同浓度分析物的复杂样品混合物的移动设备,对于许多分析场景而言仍然是一项具有挑战性的任务。为了应对这一挑战,我们开发了一种紧凑的混合分析平台,该平台结合了基于基底集成中空波导的傅里叶变换红外光谱(iHWG-FTIR)和气相色谱与差分迁移率谱法(GC-DMS)。由于这些技术在分析物类型和浓度方面具有互补性,因此它们的组合为检测含有不同浓度的广泛分子的复杂样品提供了一种很有前途的工具。迄今为止,红外光谱与离子迁移技术的组合仍然昂贵,并且需要在实验室中使用例如 IMS 作为预过滤器或 IR 作为离子源。在本研究中,我们开发并表征了一种具有成本效益且便携式的解决方案,代表了第一个真正的联用 IR-DMS 系统。作为模型分析物混合物,我们将 5 ppm 的异丙硫醇(IPM)在甲烷(CH4)中进行了稀释,并记录了所有三种混合 IR-DMS 系统中 IPM 的浓度依赖性 DMS 信号以及 CH4 的浓度依赖性 IR 信号。虽然引导样品首先通过 iHWG-FTIR 或 GC-DMS 不会影响获得的信号,但优化 IR 数据采集参数确实有利于分析结果。