Biodiesel continues to be used as an additive or alternative to traditional diesel.  The fatty acid methyl esters (FAMEs) that make up a biodiesel vary with feedstock type.  Thus, when feedstocks are combined a unique profile of FAMEs is created. In this research, single and multi-feedstock biodiesel-diesel blends were evaluated using gas chromatography mass spectrometry along with several unsupervised and supervised chemometric methods. Peak areas of diesel alkane components and/or biodiesel FAME components were evaluated using Principal Component Analysis (PCA), k nearest neighbors (kNN), soft independent modeling of class analogy (SIMCA), and partial least squares (PLS) analysis.<br/>

Analysis of multi-feedstock biodiesel fuels using GCMS and chemometrics

254th National Meeting (2017)

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