Direct Identification of Volatile Organic Vapors in Complex Mixtures: Advanced Chemical Imaging of Analytes by Cross-Reactive Sensor Arrays with Temporal Separation

摘要

Advanced combination of gas chromatography (GC) with electronic nose (EN) concept open the way for advanced chemical imaging of complex chemical mediums with direct identification of their components. It was successfully demonstrated that GC-EN has preferences in comparing with conventional GC method as well as with analysis with use EN by itself, especially for mixtures of VOCs, having similar chemical nature. The efficiency of the approach is demonstrated by adequate discrimination of individual components of two six-component mixtures including light hydrocarbons and ethers analyzed by eight channel QCM sensor array with GC separation for 250 sec time interval. Statistical analysis of the responses performed by PCA and cluster analysis demonstrates an ability of the approach to identify the components of the complex mixtures and to discriminate the mixtures with predominant component more unambiguously compared to approach based on the GC or EN data alone.