Odor Assessment of Automobile Interior Components Using Ion Mobility Spectrometry Conference Paper uri icon


  • 2015 IEEE. Evaluating and improving odors emitted from automobile interior parts can help automotive companies fulfill prospective customers' expectations of odor character and health impacts. Extending our previous work on machine-versus-human odor assessment for intact automobile cabin interiors, in this study we evaluated odors generated from individual interior parts using a human panel and ion mobility spectrometry (IMS). We used image processing to extract geometric features from IMS dispersion fields, and built predictive models for three odor assessment parameters (intensity, irritation, and pleasantness) by means of partial least squares regression. Using cross validation, we achieved statistically significant correlations in the range from 0.483 to 0.616 with a sample set of 48 interior automobile parts. These results support the feasibility of replacing a human panel by machine-olfaction for the assessment of odor quality of interior automobile parts.

name of conference


published proceedings


author list (cited authors)

  • Li, J., Gutierrez-Osuna, R., Hodges, R. D., Luckey, G., Crowell, J., Schiffman, S. S., & Nagle, H. T.

citation count

  • 3

complete list of authors

  • Li, Juan||Gutierrez-Osuna, Ricardo||Hodges, Ryan D||Luckey, Gail||Crowell, Joel||Schiffman, Susan S||Nagle, H Troy

publication date

  • January 2015