Chien‐Fu Chen

University of Maryland, College Park

Papers

1

Total Citations

25

H-Index

1

About

Chien-Fu Chen is a pioneering researcher at the intersection of microfluidics and mass spectrometry, with a particular focus on developing innovative interfaces for analytical chemistry. His most-cited work, "Interfacing microfluidics to LDI-MS by automatic robotic spotting" (2009), has garnered 25 citations and represents a significant contribution to the field. This paper introduced a novel method for seamlessly connecting microfluidic devices with laser desorption/ionization mass spectrometry (LDI-MS) through automated robotic spotting, enabling more efficient and reproducible sample handling. Chen's research addresses critical challenges in miniaturized analytical systems, particularly the integration of microfluidic sample preparation with high-sensitivity detection techniques. His work has implications for proteomics, clinical diagnostics, and environmental monitoring, where rapid and precise analysis of small-volume samples is essential. By automating the spotting process, Chen's approach reduces human error and enhances throughput, making it a valuable tool for researchers working with complex biological or chemical samples. His contributions continue to influence the development of lab-on-a-chip technologies and their practical applications in analytical science.

Research Focus

Key Achievements

1
H-Index
1
Papers
25
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
Interfacing microfluidics to LDI-MS by automatic robotic spotting
25 citations · 2009
📈 Most Prolific Year: 2009 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Maryland, College Park

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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