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使用傅里叶变换红外光谱法和多元校准法测定车用汽油的掺假情况。

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

作者信息

Al-Ghouti Mohammad A, Al-Degs Yahya S, Amer Mohammad

机构信息

Royal Scientific Society, Industrial Chemistry Centre, P.O. Box 1438, Al-Jubiha, Amman 11941, Jordan.

出版信息

Talanta. 2008 Sep 15;76(5):1105-12. doi: 10.1016/j.talanta.2008.05.024. Epub 2008 May 23.

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.

摘要

本文尝试开发一种可行的程序,用于预测车用汽油的质量参数,并使用密度值、蒸馏温度和傅里叶变换红外(FTIR)分析以及多元校准来区分不同的掺假车用汽油样品,而无需使用色谱分离或其他昂贵的仪器,如辛烷值分析仪。制备了十种普通和超级车用汽油的混合混合物,以研究每种混合物的密度、蒸馏温度和FTIR光谱特征。获得了普通和超级车用汽油的纯品及混合混合物在初始沸点(IBP)至终沸点(FBP)之间以5%体积间隔的蒸馏温度。准确和完整的未受污染燃料蒸馏数据对于比较至关重要。选择了在波数434、461、484、673、694、1030、1086、1217、1231、1460、1497、1606和3028 cm⁻¹处的13个吸光度峰进行多元校准。预期所获得的结果将有助于进行测定和区分,提供关于密度值、蒸馏温度和FTIR分析以及多元方法是否可作为区分特定纯车用汽油样品与其他样品的合适特征的信息。对特定光谱带中观察到的差异进行了研究和讨论。事实证明,它们是实现管理层区分目标的有效组合。

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