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天文系 Colloquium: Probing Planet Formation with the Most Extreme Cases
清华大学材料科学与工程研究院《材料科学论坛》:Magnetocaloric effect: from the...
Data-driven Discovery of Optimization-based Decision-making Models
Toward the Efficient Operation of an Electrified Chemical Industry
报告题目:
A Digital Microfluidic Platform for Synthesizing ImmunoPET Tracers
 报告人:
Clifton Kwang-Fu Shen
Ph.D.
Crump Institute for Molecular Imaging
Department of Molecular & Medical Pharmacology, 
David Geffen School of Medicine at UCLA, USA
报告时间:
2009-10-15 15:30
报告地点:
医学院 B321
主办单位:
清华-霍普金斯生物医学工程联合中心/医学院生物医学工程系
  简介:

Biomolecules and their engineered derivatives provide an enormous reservoir for developing highly specific Positron Emission Tomography (PET) imaging probes to visualize biological processes and detect biomarkers of interests in vivo. However, efficient radiolabeling of a delicate biomolecule still remains challenging. Using droplets generated in microfluidics, which resemble isolated, miniature batch microreactors composed of different reagents and compositions, enables large-scale screening and exerts an unprecedented degree of control over individual reaction conditions. We have developed a novel microfluidic chip capable of generating oil-free droplets and manipulating minute volume of liquids. The feasibility of on-chip radiolabeling of biomolecules was demonstrated using various biomolecules and a common 18F-tag, N-succinimidyl-4-[18F]fluorobenzoate ([18F]SFB). Consumed only small amount of precious biomolecules, the optimal reaction parameters can be obtained by screening many individual droplets (analytical-scale “batches”) with different compositions. Batches of products can be generated from one single droplet to mouse-dose scale to match the demand of radioactivity for radiotracer evaluation. Data from in vitro studies and in vivo micro-PET scans using 18F-labeled engineered antibody fragments (diabodies) will be presented.

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