Dr. Yinghao Lun | Chemistry | Best Researcher Award
Dr. Yinghao Lun, Wuhan University, China
Yinghao Lun is a dedicated PhD student at Wuhan University specializing in Remote Sensing Science and Technology. Under the guidance of Prof. Detlef Mueller and Prof. Xuan Wang, Yinghao has been exploring innovations in Surface-Enhanced Raman Scattering (SERS) substrates for molecular detection. He is focused on producing highly efficient substrates to advance food safety and environmental sensing applications.
Profile
Education 🎓
Yinghao Lun is currently pursuing his PhD in Remote Sensing Science and Technology at Wuhan University. His academic journey has been enriched by the mentorship of Prof. Detlef Mueller and Prof. Xuan Wang, who have guided his research in SERS substrate preparation and light scattering measurement.
Experience 🛠️
Yinghao’s experience revolves around research in SERS substrate preparation. His work includes developing advanced materials through femtosecond laser processing to enable sensitive molecular detection. This practical expertise is complemented by his commitment to pushing the boundaries in food safety and environmental monitoring technologies.
Research Interest 🔬
Yinghao Lun’s research focuses on the preparation of Surface-Enhanced Raman Scattering (SERS) substrates and the analysis of light scattering properties. His innovations in SERS aim to create efficient, reliable tools for detecting hazardous substances with high precision, showcasing his dedication to impactful scientific advancements.
Awards 🏆
Yinghao Lun has been nominated for the Best Researcher Award for his outstanding contributions to the field of remote sensing and SERS substrate development, particularly for applications in molecular detection. His work is recognized for its innovation and impact on food safety and environmental research.
Publication 📚
Lun, Y.; Zhao, B.; Geng, Y.; Du, W.; Zhao, X.; Wang, X. “Reusable SERS Platform of Femtosecond Laser Processed Substrate for Detection of Malachite Green.” Molecules, 2024, 29, 5053.