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应用切伦科夫成像优化微流控 PET 示踪剂合成。

Optimization of microfluidic PET tracer synthesis with Cerenkov imaging.

机构信息

Crump Institute for Molecular Imaging, University of California, Los Angeles (UCLA), Los Angeles, CA, USA.

出版信息

Analyst. 2013 Oct 7;138(19):5654-64. doi: 10.1039/c3an01113e.

Abstract

Microfluidic technologies provide an attractive platform for the synthesis of radiolabeled compounds. Visualization of radioisotopes on chip is critical for synthesis optimization and technological development. With Cerenkov imaging, beta particle emitting isotopes can be localized with a sensitive CCD camera. In order for Cerenkov imaging to also serve as a quantitative tool, it is necessary to understand how material properties relevant to Cerenkov emission, namely, index of refraction and beta particle stopping power, affect Cerenkov light output. In this report, we investigate the fundamental physical characteristics of Cerenkov photon yield at different stages of [(18)F]FDG synthesis on the electrowetting on dielectric (EWOD) microfluidic platform. We also demonstrate how Cerenkov imaging has enabled synthesis optimization. Geant4, a Monte Carlo program applied extensively in high energy physics, is used to simulate Cerenkov photon yield from (18)F beta particles traversing materials of interest during [(18)F]FDG synthesis on chip. Our simulations show that the majority (approximately two-thirds) of the (18)F beta particle energy available to produce Cerenkov photons is deposited on the glass plates of the EWOD chip. This result suggests the possibility of using a single calibration factor to convert Cerenkov signal to radioactivity, independent of droplet composition. We validate our simulations with a controlled measurement examining varying ratios of [(18)O]H2O, dimethyl sulfoxide (DMSO), and acetonitrile (MeCN), and find a consistent calibration independent of solvent composition. However, the calibration factor may underestimate the radioactivity in actual synthesis due to discoloration of the droplet during certain steps of probe synthesis. In addition to the attractive quantitative potential of Cerenkov imaging, this imaging strategy provides indispensable qualitative data to guide synthesis optimization. We are able to use this imaging technique to optimize the mixing protocol as well as identify and correct for loss of radioactivity due to the migration of radioactive vapor outside of the EWOD heater, enabling an overall increase in the crude radiochemical yield from 50 ± 3% (n = 3) to 72 ± 13% (n = 5).

摘要

微流控技术为放射性标记化合物的合成提供了一个有吸引力的平台。芯片上放射性同位素的可视化对于合成优化和技术发展至关重要。利用切伦科夫成像,可以用灵敏的 CCD 相机定位发射β粒子的放射性同位素。为了使切伦科夫成像也成为一种定量工具,有必要了解与切伦科夫发射相关的材料特性,即折射率和β粒子阻止本领,如何影响切伦科夫光输出。在本报告中,我们研究了在电润湿(EWOD)微流控平台上不同阶段合成 [18F]FDG 时切伦科夫光子产额的基本物理特性。我们还展示了切伦科夫成像如何实现合成优化。广泛应用于高能物理学的蒙特卡罗程序 Geant4 用于模拟芯片上合成 [18F]FDG 过程中穿过感兴趣材料的 [18F]β粒子产生的切伦科夫光子产额。我们的模拟表明,(18)Fβ粒子产生切伦科夫光子的可用能量的大部分(约三分之二)沉积在 EWOD 芯片的玻璃片上。这一结果表明,有可能使用单个校准因子将切伦科夫信号转换为放射性活度,而与液滴组成无关。我们通过检查不同比例的 [(18)O]H2O、二甲基亚砜(DMSO)和乙腈(MeCN)的受控测量验证了我们的模拟结果,发现无论溶剂组成如何,校准都是一致的。然而,由于在探针合成的某些步骤中液滴变色,校准因子可能会低估实际合成中的放射性活度。除了切伦科夫成像具有吸引力的定量潜力外,这种成像策略还提供了必不可少的定性数据来指导合成优化。我们能够使用这种成像技术来优化混合方案,并识别和纠正由于放射性蒸气迁移到 EWOD 加热器外部而导致的放射性损失,从而使粗放射性化学产率从 50 ± 3%(n = 3)总体增加到 72 ± 13%(n = 5)。

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