Yen Bao Huynh
Papers
1
Total Citations
14
H-Index
1
About
Yen Bao Huynh is a researcher specializing in analytical chemistry and metabolomics, with a primary focus on advancing high-throughput methodologies for fatty acid profiling. Their major contribution lies in the development of an automated trimethyl sulfonium hydroxide derivatization method for gas chromatography–mass spectrometry (GC-MS) analysis, as detailed in their highly cited 2021 paper (14 citations). This work addresses a critical bottleneck in lipidomics by replacing manual, batch-based derivatization with a fully integrated robotic autosampler system, significantly enhancing sample handling efficiency, standardizing data collection, and enabling high-throughput fatty acid profiling. By streamlining complex analytical workflows, Huynh’s innovation reduces variability and increases reproducibility, making large-scale metabolomic studies more feasible. Their research has direct implications for clinical diagnostics, nutritional science, and biomarker discovery, where accurate and rapid fatty acid analysis is essential. Huynh’s work exemplifies the integration of automation with analytical chemistry, pushing the boundaries of what is achievable in modern GC-MS-based metabolomics and setting a new standard for efficiency in the field.
Research Focus
Key Achievements
Top Papers
- 1