Literature DB >> 21049904

Structural analysis of soft multicomponent nanoparticle clusters.

Leonard F Pease1, 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.   

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 (λ) phage, a key element of a rapid method to detect bacterial pathogens in environmental and clinical samples.

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Year:  2010        PMID: 21049904     DOI: 10.1021/nn102106f

Source DB:  PubMed          Journal:  ACS Nano        ISSN: 1936-0851            Impact factor:   15.881


  2 in total

Review 1.  Toward advancing nano-object count metrology: a best practice framework.

Authors:  Scott C Brown; Volodymyr Boyko; Greg Meyers; Matthias Voetz; Wendel Wohlleben
Journal:  Environ Health Perspect       Date:  2013-09-27       Impact factor: 9.031

2.  Multimodal optical studies of single and clustered colloidal quantum dots for the long-term optical property evaluation of quantum dot-based molecular imaging phantoms.

Authors:  Hyeonggon Kang; Matthew L Clarke; Silvia H De Paoli Lacerda; Alamgir Karim; Leonard F Pease; Jeeseong Hwang
Journal:  Biomed Opt Express       Date:  2012-05-09       Impact factor: 3.732

  2 in total

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