报告题目：Demystifying Spectroscopic Data: A Journey from Challenges to Progress in UV-vis and Fluorescence Analysis
报告人：Dongmao Zhang教授，Mississippi State University, USA
报告时间：2023年12月15日（周五）10：30
报告地点：电化学楼C512报告厅
报告人简介：Dongmao Zhang（张栋茂）教授，现任美国密西西比州立大学化学系终身教授。1987年本科毕业于新葡的京集团35222vip化学系，于2002年获得美国普渡大学分析/物理化学博士学位，导师是杰出的拉曼光谱分析领域的科学家Dr. Dor Ben-Amotz。在普渡大学、GE plastic和莱斯大学从事了五年研究工作后，于2008年加入美国密西西比州立大学，目前担任该校化学系教授。张教授在生物分子（包括蛋白质、DNA和糖等）的拉曼光谱、荧光光谱、表面增强拉曼光谱和荧光光谱的分析研究中取得了丰硕的成果，是拉曼光谱分析领域杰出的科研工作者之一。在 J. Am. Chem. Soc., Nano Lett., Anal. Chem., J. Phys. Chem. C等国际权威期刊上发表了近100篇论文，获得包括 NSF CAREER Award等多项研究资助，获资助经费已达300万美元。
报告简介：For over a century, UV-vis spectrophotometry and spectrofluorometry have served as vital tools across various fields, including education, research, diagnostics, and industrial processes. These techniques provide valuable insights to light-matter interactions, offering invaluable insights into material composition, kinetic transformations, and optical properties. However, interpreting and analyzing spectroscopic data can be daunting, particularly for nanoscale and larger materials increasingly explored in research. This presentation embarks on a journey through the challenges and recent advancements in enhancing UV-vis and fluorescence spectroscopic interpretation and analysis. We will:
Expose hidden pitfalls and limitations: Uncover common shortcomings in popular spectroscopic models, equipping participants with a solid foundation for rigorous data interpretation.
Showcase innovative techniques: Delve into pioneering spectroscopic techniques enabled by commonly accessible instruments, highlighting how these advancements enhance scientific rigor and expand our understanding of light-matter interactions.
Empower researchers: Equip participants to overcome common challenges in material characterization and extract more reliable and meaningful insights from their spectroscopic data.
This seminar welcomes individuals interested in optical spectroscopic theory, technology, and applications. By demystifying common pitfalls and highlighting recent progress, this presentation aims to empower the audience to improve the scientific rigor by promoting evidence-based data interpretation and analysis in their education and research endeavors.
