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.

Distinguishing octane grades in gasoline using terahertz metamaterials

J. Li, Z. Tian, Y. Chen, W. Cao, and Z. Zeng
Appl. Opt. 51(16) 3258-3262 (2012)

Terahertz quantitatively distinguishing gasoline mixtures using multiparameter-combined analysis

Yi-nan Li, Zhou-mo Zeng, Jian Li, Zhen Tian, Li-jun Sun, and Nan Zhou
Appl. Opt. 52(30) 7382-7388 (2013)

Predictive data clustering of laser-induced breakdown spectroscopy for brain tumor analysis

Geer Teng, Qianqian Wang, Xutai Cui, Guoyan Chen, Kai Wei, Xiangjun Xu, Bushra Sana Idrees, and M. Nouman Khan
Biomed. Opt. Express 12(7) 4438-4451 (2021)

Terahertz surface plasmon sensor for distinguishing gasolines

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Appl. Opt. 52(23) 5695-5700 (2013)

Self-training-based face recognition using semi-supervised linear discriminant analysis and affinity propagation

Haitao Gan, Nong Sang, and Rui Huang
J. Opt. Soc. Am. A 31(1) 1-6 (2014)