报告题目：Pharmaceutical analysis based on metabolomics, novel sample preparation methods, and new ambient mass spectrometry
报 告 人：王欣 博士（麻省理工学院）
Xin Wang got her PhD in analytical chemistry from Peking University in July 2015. She joined the Massachusetts Institute of Technology since September 2015 as a Postdoctoral Associate and has been promoted to Senior Postdoctoral Associate in the year 2018. Her research focused on biological and pharmaceutical analysis, covering three main areas: 1. Metabolomic and proteomic studies of human samples with and without drug dosing. 2. Development of novel sample preparation methods for drug qualitative and quantitative detection. 3. Establishment of new ambient mass spectrometry using in pharmaceutical analysis.
This report aims at presenting the pharmaceutical analysis based on metabolomics, novel sample preparation methods, and new ambient mass spectrometry.
We apply mass spectrometry to a sophisticated multiorgan human-on-a-chip system for the comprehensive study of tolcapone (a drug in the treatment of Parkinson's disease) metabolite profiling and metabolomics. Twelve tolcapone metabolites were identified, three of which are newly reported. Untargeted metabolomics identified 18 key biomarkers associated with perturbation of tryptophan and phenylalanine metabolism, glycerophospholipid metabolism, energy metabolism, and aspartate metabolism.
Next, an online coupling of solid-phase derivatization (SPD) with liquid chromatography−mass
spectrometry (LC-MS) was developed and applied in the analysis of low-molecular-mass RSNOs. Endogenous GSNO levels in mouse plasma and tissues were successfully quantified. When the derivatization was performed within 8 min, followed by LC-MS detection, samples could be rapidly analyzed compared with the offline manual method.
Lastly, a polymer monolith microextraction (PMME) procedure coupled to plasma assisted laser desorption ionization mass spectrometry (PMME-PALDI-MS) was developed for rapid and organic solvent-free analysis of trace pesticides residues. The extraction device used a ‘‘Dip-it’’ sampler coated with a MWNT incorporated monolith, and the pesticides adsorbed on monoliths were effectively desorbed by laser, improving detection sensitivity.