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【图书馆系列讲座】ESI与InCites——基于Web of Science的科研评价与学科分析
【图书馆系列讲座】Excel实例与高级应用
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学堂班系列讲座:“Optics and Photonics in Flatland”
报告题目:
Gold Nanoparticle-Enabled Dynamic Light Scattering Assay for Cancer Biomarker Discovery and Research
 报告人:
Professor Qun Huo, Ph.D.
NanoScience Technology Center, Department of Chemistry,
and Department of Mechanical, Material and Aerospace Engineering
University of Central Florida, USA
报告时间:
2011-12-14 10:00
报告地点:
何添楼406房间
主办单位:
化学系
  简介:
Gold Nanoparticle-Enabled Dynamic Light Scattering Assay for Cancer Biomarker Discovery and Research

Qun Huo

NanoScience Technology Center, University of Central Florida
12424 Research Parkway Suite 400, Orlando, FL 32826
Email: Qun.Huo@ucf.edu
 
Nanotechnology is bringing many ground-breaking tools and new capabilities to biomolecule research and medical diagnosis. Gold nanoparticles as one of the most extensively studied nanomaterials, have many interesting and unique optical properties. These properties make gold nanoparticles as excellent optical probes for biomolecular imaging and bioassay applications. Based on the light scattering property of gold nanoparticles, our group developed a nanoparticle-enabled dynamic light scattering assay (NanoDLSay) technology for biomolecular detection and analysis. This technique detects proteins, DNAs and other biomolecular targets by monitoring the size change of the gold nanoparticles caused by target analyte binding. In the last few years, we have conducted extensive work on cancer biomarker research using NanoDLSay technique and made several very exciting new discoveries. Most recently, we developed a quantitative nanoparticle assay that not only can distinguish prostate cancer from normal and benign conditions, but also is capable of predicting the aggressiveness of prostate cancer quantitatively. This test could become a more accurate diagnostic tool to assess tumor aggressiveness than the current diagnostic practices. In this talk, I will explain the principle of the new assay technique, and present our most recent results on cancer biomarker detection and research. 
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