4.8 Article

ICP-MS analysis of lanthanide-doped nanoparticles as a non-radiative, multiplex approach to quantify biodistribution and blood clearance

期刊

BIOMATERIALS
卷 33, 期 5, 页码 1509-1519

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.biomaterials.2011.10.077

关键词

Superparamagnetic iron oxide; Nanoparticle; ICP-MS; XPS; Biodistribution; Clearance; Multiplex

资金

  1. NIH [NCI/R21CA140695, NCI/R01CA157766, NIBIB/R01EB012065]
  2. National Academies Keck Futures Initiative
  3. Department of Defense [W81XWH-10-1-0351]

向作者/读者索取更多资源

Recent advances in material science and chemistry have led to the development of nanoparticles with diverse physicochemical properties, e.g. size, charge, shape, and surface chemistry. Evaluating which physicochemical properties are best for imaging and therapeutic studies is challenging not only because of the multitude of samples to evaluate, but also because of the large experimental variability associated with in vivo studies (e.g. differences in tumor size, injected dose, subject weight, etc.). To address this issue, we have developed a lanthanide-doped nanoparticle system and analytical method that allows for the quantitative comparison of multiple nanoparticle compositions simultaneously. Specifically, superparamagnetic iron oxide (SPIO) with a range of different sizes and charges were synthesized, each with a unique lanthanide dopant. Following the simultaneous injection of the various SPIO compositions into tumor-bearing mice, inductively coupled plasma mass spectroscopy (ICP-MS) was used to quantitatively and orthogonally assess the concentration of each SPIO composition in serial blood samples and the resected tumor and organs. The method proved generalizable to other nanoparticle platforms, including dendrimers, liposomes, and polymersomes. This approach provides a simple, cost-effective, and non-radiative method to quantitatively compare tumor localization, biodistribution, and blood clearance of more than 10 nanoparticle compositions simultaneously, removing subject-to-subject variability. (C) 2011 Elsevier Ltd. All rights reserved.

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