Automated Characterization of Fuel Stream Hydrocarbons
Complete characterization of spark engine components in fuel streams requires the use of complex instrumental setups, long GC method runs, and careful data analysis with a high degree of oversight. Individual gasoline analyte identification is often accomplished using detailed hydrocarbon analysis (DHA) using methods like ASTM D6730, which is highly dependent on chromatographic resolution and peak identification based on relative retention times. A gas chromatography – vacuum ultraviolet (GC-VUV) method was recently developed that follows ASTM D6730 conditions while eliminating the requirement for pre-column tuning. This method, VUV Verified Hydrocarbon Analysis (VUV-VHA), utilizes spectral and retention index information to confirm the identity of over 140 key gasoline analytes through an automated data analysis routine performed by VUV Analyze software.
In addition, the bulk analysis of paraffin, iso-paraffin, olefin, naphthene, and aromatic (PIONA) compounds is reported along with the speciated analytes in mass % or volume %. VHA data processing and review time averages 2–3 minutes per sample, in contrast to peak assignment procedures that can take 30 minutes or more. The webcast concludes with a discussion of opportunities to shorten GC run times of gasoline analysis methods while utilizing the capabilities of the VUV PIONA+ method to spectrally identify hydrocarbon compounds.
Key Learning Objectives
- Learn about the VUV Verified Hydrocarbon Analysis (VUV-VHA) method and its compound speciation capabilities
- Gain a deeper understanding of how VUV Analyze data analysis software enables automated analyte speciation and PIONA compound class analysis
- See how verifying data through GC-VUV lends itself to a more accurate, high throughput approach to characterizing fuel stream analytes
Who Should Attend
- Laboratory analysts, managers, process engineers, and others responsible for testing of petroleum-based fuels, especially those in the gasoline-range
- Scientists and engineers seeking robust hydrocarbon analysis options that can be used by lab personnel of across a wide spectrum of expertise and experience
- Chemists experiencing data analysis bottlenecks due to time consuming peak assignment and secondary review protocols
Presented by: Jack Cochran, Senior Director of Applications Science, VUV Analytics