title: Smart multi-channel two-dimensional micro-gas chromatography for rapid workplace hazardous volatile organic compounds measurement.
abstract: We developed a novel smart multi-channel two-dimensional (2-D) micro-gas chromatography (μGC) architecture that shows promise to significantly improve 2-D μGC performance. In the smart μGC design, a non-destructive on-column gas detector and a flow routing system are installed between the first dimensional separation column and multiple second dimensional separation columns. The effluent from the first dimensional column is monitored in real-time and decision is then made to route the effluent to one of the second dimensional columns for further separation. As compared to the conventional 2-D μGC, the greatest benefit of the smart multi-channel 2-D μGC architecture is the enhanced separation capability of the second dimensional column and hence the overall 2-D GC performance. All the second dimensional columns are independent of each other, and their coating, length, flow rate and temperature can be customized for best separation results. In particular, there is no more constraint on the upper limit of the second dimensional column length and separation time in our architecture. Such flexibility is critical when long second dimensional separation is needed for optimal gas analysis. In addition, the smart μGC is advantageous in terms of elimination of the power intensive thermal modulator, higher peak amplitude enhancement, simplified 2-D chromatogram re-construction and potential scalability to higher dimensional separation. In this paper, we first constructed a complete smart 1 × 2 channel 2-D μGC system, along with an algorithm for automated control/operation of the system. We then characterized and optimized this μGC system, and finally employed it in two important applications that highlight its uniqueness and advantages, i.e., analysis of 31 workplace hazardous volatile organic compounds, and rapid detection and identification of target gas analytes from interference background.
authors.affiliation: Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan 48109, USA.
authors.forename: Jing
authors.initials: J
authors.lastname: Liu
authors.forename: Jung Hwan
authors.initials: JH
authors.lastname: Seo
authors.forename: Yubo
authors.initials: Y
authors.lastname: Li
authors.forename: Di
authors.initials: D
authors.lastname: Chen
authors.forename: Katsuo
authors.initials: K
authors.lastname: Kurabayashi
authors.forename: Xudong
authors.initials: X
authors.lastname: Fan
mesh_terms: D016902:Air Pollution, Indoor / Q000032:analysis*; D000465:Algorithms; D002849:Chromatography, Gas / Q000295:instrumentation / Q000379:methods*; D004129:Dimethylpolysiloxanes / Q000737:chemistry; D005740:Gases / Q000032:analysis*; D006046:Gold / Q000737:chemistry; D055549:Volatile Organic Compounds / Q000032:analysis*
chemical_list: D004129:Dimethylpolysiloxanes; D005740:Gases; D055549:Volatile Organic Compounds; C013830:baysilon; D006046:Gold