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Infrared Analysis of Auto Exhaust (11)

Chemical Sensors Advanced Data Analysis Methods

Problem: Rapid, fieldable method needed to determine key organic gases and ozone-forming potential of auto exhaust

Project Activity Scope (from Technical Overview Chart): Devices through Instruments

PNNL Solution:

  • Used advanced data analysis methods to determine key IR spectral features
  • Developed model to predict target vapor concentrations and ozone-forming potential of exhaust
  • Successfully demonstrated IR method against baseline method, reducing analysis time (6 hr -> 10 m)
Chemical Sensors Advanced Data Analysis Methods

Capabilities Employed to Meet Client Needs: Infrared spectroscopy; optics; advanced data analysis methods including multivariate statistics and chemometrics; analytical model development; software development for data acquisition, analysis, and result presentation.

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Contact: Jeff Griffin

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