کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6474703 1424965 2017 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
QCM virtual multisensor array for fuel discrimination and detection of gasoline adulteration
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی مهندسی شیمی (عمومی)
پیش نمایش صفحه اول مقاله
QCM virtual multisensor array for fuel discrimination and detection of gasoline adulteration
چکیده انگلیسی

Herein, a simplistic quartz crystal microbalance (QCM) approach for discrimination of petroleum based fuels is presented. In this regard, a quartz crystal microbalance (QCM) virtual multisensor array (V-MSA) was employed to discriminate between different petroleum based fuels and to detect gasoline adulteration with high accuracy. First, an ionic liquid based V-MSA was used to discriminate between four fuel types (petroleum ether, gasoline, kerosene, and diesel). Subsequently, the system was used to successfully discriminate between three gasoline grades as a precursor for studies of gasoline adulteration. Finally, the system was used to detect and determine the nature of several gasoline adulterants at different v/v ratios (1%, 10%, 20% and 40%). Excellent accuracy (100%) was achieved for each study extolling the potential of this approach. This report represents the first example of a QCM sensor array utilized for detection of gasoline adulteration.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Fuel - Volume 199, 1 July 2017, Pages 38-46
نویسندگان
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