Next Article in Journal
Kinetics, Isotherms and Thermodynamic Modeling of Liquid Phase Adsorption of Crystal Violet Dye onto Shrimp-Waste in Its Raw, Pyrolyzed Material and Activated Charcoals
Previous Article in Journal
Fast Implicit Surface Reconstruction for the Radial Basis Functions Interpolant
Open AccessArticle

Analysis of Methanol Gasoline by ATR-FT-IR Spectroscopy

1
College of Oujiang, Wenzhou University, Wenzhou 325035, China
2
College of Electrical & Electronic Engineering, Wenzhou University, Wenzhou 325035, China
3
Research and development department, Hangzhou Goodhere Biotechnology Co., Ltd., Hangzhou 311100, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2019, 9(24), 5336; https://doi.org/10.3390/app9245336
Received: 15 November 2019 / Revised: 2 December 2019 / Accepted: 4 December 2019 / Published: 6 December 2019
(This article belongs to the Section Optics and Lasers)
Methanol gasoline blends are a more economical, and environmentally friendly fuels than gasoline alone, and are widely used in the transportation industry. The content of methanol in methanol gasoline plays an important role in ensuring the quality of gasoline. In some solutions, due to the shortage of energy and illegal profits, the problem of gasoline adulteration and its fineness, has received more and more attention, which would seriously affect the operating condition and service life of internal combustion engines. Therefore, it is very important to identify the correct level of gasoline. However, the traditional detection method is complex and time-consuming. To this end, the feasibility of using attenuated total reflectance Fourier transform infrared (ATR-FTIR) methods coupled with chemometrics methods were investigated to quantitatively and qualitatively analyze methanol gasoline. The qualitative analysis result of partial least squares discriminant analysis (PLS-DA) obtained 100% and 98.66% accuracy in the calibration set and the prediction set, respectively. As for quantitative analysis; two regression algorithms of partial least squares regression (PLSR) and the least square support vector machine (LS-SVM), as well as two variables selection methods of the successive projections algorithm (UVE) competitive adaptive reweighted sampling (CARS) and uninformative variable elimination (UVE) were combined to establish the quantitative model. By comparing the performance of the optimal models; the UVE-PLSR model performed best with a residual predictive deviation (RPD) value of 6.420. The qualitative and quantitative analysis results demonstrate the feasibility of using ATR-FTIR spectra to detect the methanol in methanol gasoline. It is believed that the promising IR spectra will be widely used in gasoline energy quality control in the further. View Full-Text
Keywords: methanol gasoline; infrared spectroscopy; partial least square discriminant analysis (PLS-DA); multivariate regression; variable selection methanol gasoline; infrared spectroscopy; partial least square discriminant analysis (PLS-DA); multivariate regression; variable selection
Show Figures

Figure 1

MDPI and ACS Style

XIA, Q.; YUAN, L.-M.; CHEN, X.; MENG, L.; HUANG, G. Analysis of Methanol Gasoline by ATR-FT-IR Spectroscopy. Appl. Sci. 2019, 9, 5336.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop