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Applied Optics

Applied Optics


  • Editor: Joseph N. Mait
  • Vol. 52, Iss. 30 — Oct. 20, 2013
  • pp: 7382–7388

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  »View Author Affiliations

Applied Optics, Vol. 52, Issue 30, pp. 7382-7388 (2013)

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Refined oil mixtures can be quantified using terahertz-absorption-coefficient spectra and dualistic linear regression fitting. However, when this method was used to quantify mixtures of 90# and 97# gasolines, the absolute error between the real and fitted value was large (25%), and this was due to the component similarity between 90# and 97# gasolines. To solve this problem, the present research addresses the possibility of developing a method that would allow direct, simple, and accurate determination of the 97# gasoline content in gasoline mixtures using a terahertz time-domain pulse coupled to a multiparameter-combined analysis. The multiparameter represents the time delay and amplitude of the first transmission dip and peak in the time-domain pulse. The relationship between these four parameters and the 97# gasoline content in gasoline mixtures was thoroughly investigated, and four distinct calibration models for quantifying gasoline mixtures were built using least square fitting. To enable the development of an informative and accurate calibration model, the four individual models were given proper weights and combined. The weight was determined by the cosine-optimal method, which aimed to determine the most proper weight under the condition of the cosine of the angle between the fitted content vector and the real content vector that reaches the maximum. This method allows the determination of 97# gasoline content in gasoline mixtures with a low absolute error (6%), resulting in predictions that are more accurate and precise than those obtained by the terahertz-absorption-coefficient spectra and dualistic linear regression fitting.

© 2013 Optical Society of America

OCIS Codes
(120.0120) Instrumentation, measurement, and metrology : Instrumentation, measurement, and metrology
(300.6500) Spectroscopy : Spectroscopy, time-resolved
(300.6495) Spectroscopy : Spectroscopy, teraherz

ToC Category:

Original Manuscript: July 5, 2013
Revised Manuscript: September 25, 2013
Manuscript Accepted: September 25, 2013
Published: October 18, 2013

Yi-nan Li, Zhou-mo Zeng, Jian Li, Zhen Tian, Li-jun Sun, and Nan Zhou, "Terahertz quantitatively distinguishing gasoline mixtures using multiparameter-combined analysis," Appl. Opt. 52, 7382-7388 (2013)

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  1. Y. Li, J. Li, Z. Zeng, J. Li, Z. Tian, and W. Wang, “Terahertz spectroscopy for quantifying refined oil mixtures,” Appl. Opt. 51, 5885–5889 (2012). [CrossRef]
  2. L. Tian, Q. L. Zhou, B. Jin, K. Zhao, S. Q. Zhao, Y. L. Shi, and C. L. Zhang, “Optical property and spectroscopy studies on the selected lubricating oil in the terahertz range,” Sci. China Ser. G 52, 1938–1943 (2009). [CrossRef]
  3. E. Berry, “Risk perception and safety issues,” J. Biol. Phys. 29, 263–267 (2003). [CrossRef]
  4. R. H. Clothier and N. Bourne, “Effects of THz exposure on human primary keratinocyte differentiation and viability,” J. Biol. Phys. 29, 179–185 (2003). [CrossRef]
  5. J. Li, Z. Tian, Y. Chen, W. Cao, and Z. Zeng, “Distinguishing octane grades in gasoline using terahertz metamaterials,” Appl. Opt. 51, 3258–3262 (2012). [CrossRef]
  6. F. M. Al-Douseri, Y. Chen, and X. C. Zhang, “THz wave sensing for petroleum industrial applications,” Int. J. Infrared Millim. Waves 27, 481–503 (2007). [CrossRef]
  7. Y. S. Jin, G. J. Kim, C. H. Shon, S. G. Jeon, and J. I. Kim, “Analysis of petroleum products and their mixtures by using terahertz time domain spectroscopy,” J. Korean Phys. Soc. 53, 1879–1885 (2008). [CrossRef]
  8. D. Grischkowsky, S. Keiding, M. Van Exter, and C. Fattinger, “Far-infrared time-domain spectroscopy with terahertz beams of dielectrics and semiconductors,” J. Opt. Soc. Am. B 7, 2006–2015 (1990). [CrossRef]
  9. R. Singh, Engineering the Resonances of Terahertz Metamaterials (Oklahoma State University, 2009).
  10. A. Redo-Sanchez and X. C. Zhang, “Self-referenced method for terahertz wave time-domain spectroscopy,” Opt. Lett. 36, 3308–3310 (2011). [CrossRef]
  11. H. Martens, J. P. Nielsen, and S. B. Engelsen, “Light scattering and light absorbance separated by extended multiplicative signal correction. Application to near-infrared transmission analysis of powder mixtures,” Anal. Chem. 75, 394–404 (2003). [CrossRef]
  12. A. G. Markelz, A. Roitberg, and E. J. Heilweil, “Pulsed terahertz spectroscopy of DNA, bovine serum albumin and collagen between 0.1 and 2.0  THz,” Chem. Phys. Lett. 320, 42–48 (2000). [CrossRef]

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