Ting Wang is a third year graduate student at Baylor University. She joined the team in December of 2011 and plans on graduating with a master’s degree in Analytical Chemistry upon completion of her research. Along with working in the research lab, she is a lab teaching assistant for General Chemistry I and II. Ting received her Bachelor’s degree in Applied Chemistry at Xiangtan University in Xiangtan City, China in 2011. After graduating, Ting hopes to work in industry.
“The complete molecular characterization of petroleum samples remains a challenge, due to the complexity of these samples. The molecular characterization is important in optimization of the refinery processes in the petroleum industry to help reduce emission of toxic gases from combustion of heteroatom (N, O, and S)-containing compounds. Ultrahigh resolution mass spectra of petroleum samples reveal the presence of multiple peaks at each nominal mass and Kendrick plots are often used to simplify the interpretation of these petroleum mass spectra. In a Kendrick plot, where the NKM is plotted as a function of KMD complex data sets can be presented in compact to allow successful classification of the complex sample mixtures. The focus of my specific studies was to utilize Kendrick plots combined with selective target molecule derivatization for detection of s-containing compounds in petroleumics studies.”
- Wang, Ting; Jupiter, Daniel; Devkota, Laxman; Chambliss, C. Kevin; Pinney, Kevin; Solouki, Touradj. Identification of Sulfur Compounds in Petroleum Samples Using Derivatization with Mass Deficient Reagents. 61st Annual American Society for Mass Spectrometry Conference, Minneapolis, Minnesota. (June 11, 2013)