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Structural analysis of soft multicomponent nanoparticle clusters

  • Leonard F. Pease
  • , Jeremy I. Feldblyum
  • , Silvia H. Depaoli Lacaerda
  • , Yonglin Liu
  • , Angela R. Hight Walker
  • , Rajasekhar Anumolu
  • , Peter B. Yim
  • , Matthew L. Clarke
  • , Hyeong Gon Kang
  • , Jeeseong Hwang
  • University of Utah
  • National Institute of Standards and Technology

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

Quantitative techniques are essential to analyze the structure of soft multicomponent nanobioclusters. Here, we combine electrospray differential mobility analysis (ES-DMA), which rapidly measures the size of the entire cluster, with transmission electron microscopy (TEM), which detects the hard components, to determine the presence and composition of the softer components. Coupling analysis of TEM and ES-DMA derived data requires the creation and use of analytical models to determine the size and number of constituents in nanoparticle complexes from the difference between the two measurements. Previous ES-DMA analyses have been limited to clusters of identical spherical particles. Here, we dramatically extend the ES-DMA analysis framework to accommodate more challenging geometries, including protein corona-coated nanorods, clusters composed of heterogeneously sized nanospheres, and nanobioclusters composed of both nanospheres and nanorods. The latter is critical to determining the number of quantum dots attached to lambda ( ) phage, a key element of a rapid method to detect bacterial pathogens in environmental and clinical samples.

Original languageEnglish
Pages (from-to)6982-6988
Number of pages7
JournalACS Nano
Volume4
Issue number11
DOIs
StatePublished - Nov 23 2010

Keywords

  • Composite nanoparticles
  • Electrospray differential mobility analysis
  • Phage
  • Quantum dot
  • Streptavidin
  • Virus

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