title: [Prediction the octane number of gasoline by near infrared spectra analysis].
abstract: The feasibility of predicting the octane number by the near infrared spectra analysis technique in the quantitative analysis was investigated. 12 calibration gasoline samples and 4 prediction samples were collected and their absorption spectra were measured with a high precision model Lambda 19 scanning spectrophotometer. Based on the multivariate statistic model, stagewise regression and partial least squares were selected. A model of the correlation behavior between the spectra and octane number was established and calibrated, and then the prediction of octane number is made. The prediction error is +/-1.0 octane number in the best analysis results.
authors.affiliation: Department of Applied Physics, National University of Defense Technology, 410073 Changsha.
authors.forename: D
authors.initials: D
authors.lastname: Cao
authors.forename: J
authors.initials: J
authors.lastname: Tan
authors.forename: Z
authors.initials: Z
authors.lastname: Chen
authors.forename: Y
authors.initials: Y
authors.lastname: Hu
authors.forename: S
authors.initials: S
authors.lastname: Han
mesh_terms: D005742:Gasoline / Q000032:analysis*; D009795:Octanes / Q000737:chemistry*; D011786:Quality Control; D013055:Spectrophotometry, Infrared / Q000379:methods*
chemical_list: D005742:Gasoline; D009795:Octanes; C026728:octane