Abstract

In this paper, the absorption coefficient spectra of samples prepared as mixtures of gasoline and diesel in different proportions are obtained by terahertz time-domain spectroscopy. To quantify the components of refined oil mixtures, a method is proposed to evaluate the best frequency band for regression analysis. With the data in this frequency band, dualistic linear regression fitting is used to determine the volume fraction of gasoline and diesel in the mixture based on the Beer–Lambert law. The minimum of regression fitting R-Square is 0.99967, and the mean error of fitted volume fraction of 97# gasoline is 4.3%. Results show that refined oil mixtures can be quantitatively analyzed through absorption coefficient spectra in terahertz frequency, which it has bright application prospects in the storage and transportation field for refined oil.

© 2012 Optical Society of America

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)

Terahertz surface plasmon sensor for distinguishing gasolines

Guanlin Liu, Mingxia He, Zhen Tian, Jingyan Li, and Jiazheng Liu
Appl. Opt. 52(23) 5695-5700 (2013)

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 spectroscopy detection of zinc citrate in flour and milk powder mixtures

Ziyu Song, Min Liao, Dongxiong Ling, Changshui Chen, and Dongshan Wei
Appl. Opt. 61(25) 7443-7448 (2022)

Chemometrics applied quantitative analysis of iron oxide mixtures by terahertz spectroscopy

Ying Li, Tian-Yao Zhang, Zhao-Hui Zhang, Jian-Feng Yan, Xuan Zhao, Xiao-Yan Zhao, Xing-Yue Li, Xian-Hao Wu, Lu Yin, Yuan Yuan, and Jian-Mei Guo
Appl. Opt. 62(5) 1167-1174 (2023)