An identification and characterization of biodiesel fatty acid based by using dielectric sensor

The fatty acids composition is identified by a gas chromatography mass spectrometer (GC-MS), then it is characterized in saturated and unsaturated components. This paper investigates biodiesel fatty acid by using dielectric constant measurements and focuses on dielectric sensor based on biodiesel chemical properties characterization. The objectives of this paper are identification fatty acids and determination of correlation dielectric properties and biodiesel fatty acid characterization. The proposed method is dielectric constant by using capacitance sensor are applied to determine the response dielectric sensor from the fatty acid composition. Sixteen fatty acid methyl esters were identified and two characterizations the amount of saturated and unsaturated fatty ester fractions. The model parameter was determined by regression analysis for estimating the relationships among fatty acid content and dielectric properties. The results show that measurements of electrical properties, successfully used for the characterization of fatty acids. The dielectric constant of biodiesel was found increasing as the saturated decreases. This relationship becomes calibration for the assessment of the quality of biodiesel based on the dielectric sensor. The model reveals that the fatty acid composition affects the value of the biodiesel dielectric and show that dielectric sensor potentially to handle for characterization of biodiesel fatty acid content. (paper)