Technology and Applications

Journal of Nanoparticle Research

, Volume 11, Issue 4, pp 981-988

Detection, separation, and quantification of unlabeled silica nanoparticles in biological media using sedimentation field-flow fractionation

  • Soheyl TadjikiAffiliated withPostnova Analytics USA
  • , Shoeleh AssemiAffiliated withDepartment of Metallurgical Engineering, College of Mines and Earth Sciences, University of Utah Email author 
  • , Cassandra E. DeeringAffiliated withDepartment of Pharmacology and Toxicology, University of Utah
  • , John M. VeranthAffiliated withDepartment of Pharmacology and Toxicology, University of Utah
  • , Jan D. MillerAffiliated withDepartment of Metallurgical Engineering, College of Mines and Earth Sciences, University of Utah

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Abstract

A rapid, high-resolution methodology for characterization, separation, and quantification of unlabeled inorganic nanoparticles extracted from biological media, based on sedimentation field-flow fractionation and light scattering detection is presented. Silica nanoparticles were added to either human endothelial cell lysate or rat lung tissue homogenate and incubated. The nanoparticles were extracted by acid digestion and then separated and characterized by sedimentation field-flow fractionation. Fractions collected at the peak maxima were analyzed by transmission electron microscopy (TEM) to verify the size and shape of the isolated nanoparticles. Using the linear relationship between the particle number and the area under the fractogram, the recoveries of particles from the tissue homogenate and cell lysate were calculated as 25% and 79%, respectively. The presented methodology facilitates detection, separation, size characterization, and quantification of inorganic nanoparticles in biological samples, within one experimental run.

Keywords

Sedimentation field-flow fractionation Nanoparticle characterization and quantification Silica (SiO2) Rat lung tissue homogenate Human endothelial cell lysate Transmission electron microscopy Nanocomposites