Fatty acid alkyl esters (FAAEs) were determined at 10-100mg/L in biodiesel and blends with petrodiesel without sample pre-treatment using gas chromatography with a tandem differential mobility detector. Selectivity was provided through chromatographic separations and atmospheric pressure chemical ionization reactions in the detector with mobility characterization of gas ions. Limits of detection were ~0.5ng with an average of 2.98% RSD for peak area precision, ≤1.3% RSD for retention time precision, and ≤9.2% RSD for compensation voltage precision. Biodiesel blends were classified using principal component analysis (PCA) and hierarchical cluster analysis (HCA). Unsupervised cluster analysis captured 52.72% of variance in a single PC while supervised analysis captured 71.64% of variance using Fisher ratio feature selection. Test set predictions showed successful clustering according to source or feedstock when regressed onto the training set model. Detection of the regulated substance methyl linolenate (C18:3 me) was achieved in 6-10s with a 1m long capillary column using dual ion filtering in the tandem differential mobility detector.
Connecting scientific concepts with clinical applications is an important objective of pharmacy education. In particular, as the field of precision oncology expands, it is critical that pharmacy students understand how genetic information connects with cancer treatment decisions. However, to effectively teach students about pharmacogenomics and pharmacogenetics, faculty require relevant educational resources, including those that support higher-order learning. In this commentary, we demonstrate the potential utility of publicly accessible cancer genomics databases as teaching resources for pharmacogenomics and pharmacogenetics in oncology pharmacy education. Using clinical data retrieved from a genomics database, we illustrate how case studies can be developed to target core competencies, including understanding tumor genomics profiling, somatic mutations and pharmacotherapy selection, and clinical pharmacogenetics testing. Cancer genomics databases provide readily available, cost-effective, clinical data resources that support active learning related to pharmacogenomics and pharmacogenetics education in oncology pharmacy curricula.
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