Literature DB >> 18761162

Determination of motor gasoline adulteration using FTIR spectroscopy and multivariate calibration.

Mohammad A Al-Ghouti1, Yahya S Al-Degs, Mohammad Amer.   

Abstract

In this paper, an attempt has been made to develop a feasible procedure for the prediction of quality parameters of motor gasoline and to discriminate between the different adulterated motor gasoline samples using density values, distillation temperatures and Fourier transform infrared (FTIR) analyses along with multivariate calibrations without the need for using chromatographic separation or other expensive instruments such as an octane number analyser. Ten blend mixtures of regular and super motor gasoline were prepared in order to study density, distillation temperatures and FTIR spectra characteristics for each blend. Distillation temperatures for the pure and blend mixtures of regular and super motor gasoline at initial boiling point (IBP) to final boling point (FBP) at 5%Vol. interval were obtained. Accurate and complete distillation data on the uncontaminated fuel would be essential for comparison. Thirteen peaks of the absorbance at the wavenumbers: 434, 461, 484, 673, 694, 1030, 1086, 1217, 1231, 1460, 1497, 1606 and 3028 cm(-1) were chosen to perform the multivariate calibration. The results obtained were expected to be useful in determination and differentiation purposes, providing information on whether the density values, distillation temperatures and FTIR analyses along with multivariate method could be an appropriate feature for differentiating a particular pure motor gasoline sample from the others. The observed differences in the specific spectral bands are investigated and discussed. They have proven to be an effective combination in the pursuit of management's differentiation goals.

Entities:  

Year:  2008        PMID: 18761162     DOI: 10.1016/j.talanta.2008.05.024

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  1 in total

1.  Self-assembled tunable photonic hyper-crystals.

Authors:  Vera N Smolyaninova; Bradley Yost; David Lahneman; Evgenii E Narimanov; Igor I Smolyaninov
Journal:  Sci Rep       Date:  2014-07-16       Impact factor: 4.379

  1 in total

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