Co-supervisor: Alexander van Nuijs
My academic journey began in 2017 in China, where I pursued my undergraduate studies. I earned a Bachelor’s degree in Agricultural Resources and Environment from Southwest University, Chongqing, in 2021. During my undergraduate studies, I conducted research on heavy metal contamination in artificial wetlands and applied for the student innovation scientific programme. This work culminated in a first-author publication in a Chinese core journal.
Building on this foundation, I pursued a Master’s degree in Environmental Science at Nankai University, Tianjin, graduating in 2024. My Master’s research focused on the identification and biotransformation of PFAS in the environment, where I honed my expertise in advanced analytical techniques, including LC-MS/MS and GC-MS/MS, for detecting and quantifying trace contaminants. Additionally, I developed proficiency in database building and statistical analysis using R scripting. These efforts resulted in the publication of three first-author papers in Environmental Science & Technology and Water Research.
For my PhD studies, I aim to further advance my expertise by exploring the application of ion mobility-mass spectrometry (IM-MS) to analyse human and environmental samples within the MobiliTrain project. My research will focus on developing novel screening approaches for contaminants of emerging concern (CECs) and expanding the collision cross-section (CCS) database through innovative investigations and methodological experiments. My ultimate goal is to publish three to five high-impact papers and share my findings at leading international conferences, contributing to advancements in environmental science and public health.
Country: Austria
Purpose: Training on best practices for DTIM-HRMS calibration and applications
Country: France
Purpose: Validation of LC-DTIM-HRMS protocols on a different platform (TWIMS) and exploring GC-IM-HRMS
Country: Germany
Purpose: Evaluation of new LC-DTIM-HRMS method against coverage achieved with established HRMS methods applied in a commercial NTS laboratory without IM capability