Abstract
A method to assess the octane number of motor gasoline by proton magnetic resonance (PMR) spectrometry was studied. Twenty-eight kinds of regular gasoline and 24 of premium gasoline were sampled from the market from winter to summer, and their PMR spectra were classified by a supervised learning pattern recognition method, an unsupervised learning pattern recognition method, and other related methods. This report concerns a successful attempt to identify regular and premium gasoline by PMR spectrometry.
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