Literature DB >> 17628090

Multilayers of oppositely charged SiO2 nanoparticles: effect of surface charge on multilayer assembly.

Daeyeon Lee1, Zekeriyya Gemici, Michael F Rubner, Robert E Cohen.   

Abstract

The growth behavior of all-silica nanoparticle multilayer thin films assembled via layer-by-layer deposition of oppositely charged SiO2 nanoparticles was studied as a function of assembly conditions. Amine-functionalized SiO2 nanoparticles were assembled into multilayers through the use of three different sizes of negatively charged SiO2 nanoparticles. The assembly pH of the nanoparticle suspensions needed to achieve maximum growth for each system was found to be different. However, the surface charge /z/ of the negatively charged silica nanoparticles at the optimal assembly pH was approximately the same, indicating the importance of this parameter in determining the growth behavior of all-nanoparticle multilayers. When /z/ of the negatively charged nanoparticles lies between 0.6z(0) and 1.2z(0) (where z(0) is the pH-independent value of the zeta-potential of the positively charged nanoparticles used in this study), the multilayers show maximum growth for each system. The effect of particle size on the film structure was also investigated. Although nanoparticle size significantly influenced the average bilayer thickness of the multilayers, the porosity and refractive index of multilayers made from nanoparticles of different sizes varied by a small amount. For example, the porosity of the different multilayer systems ranged from 42 to 49%. This study further demonstrates that one-component all-nanoparticle multilayers can be assembled successfully by depositing nanoparticles of the same material but with opposite surface charge.

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Year:  2007        PMID: 17628090     DOI: 10.1021/la701267a

Source DB:  PubMed          Journal:  Langmuir        ISSN: 0743-7463            Impact factor:   3.882


  2 in total

1.  Chitosan-Gated Magnetic-Responsive Nanocarrier for Dual-Modal Optical Imaging, Switchable Drug Release, and Synergistic Therapy.

Authors:  Hui Wang; Qingxin Mu; Richard Revia; Kui Wang; Xuezhe Zhou; Peter J Pauzauskie; Shuiqin Zhou; Miqin Zhang
Journal:  Adv Healthc Mater       Date:  2017-01-25       Impact factor: 9.933

2.  Application of automated electron microscopy imaging and machine learning to characterise and quantify nanoparticle dispersion in aqueous media.

Authors:  M Ilett; J Wills; P Rees; S Sharma; S Micklethwaite; A Brown; R Brydson; N Hondow
Journal:  J Microsc       Date:  2019-12-18       Impact factor: 1.758

  2 in total

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