Colloidal mesoporous silica nanoparticles

Eisuke Yamamoto, Kazuyuki Kuroda

    Research output: Contribution to journalArticle

    130 Citations (Scopus)

    Abstract

    Mesoporous silica nanoparticles (MSNs) with colloidal stability have attracted increasing interest because of their important properties, such as high transparency and cell uptake. Colloidal MSNs are comprehensively reviewed from the viewpoints of their preparation, characterization, and applications which include biomedical, catalytic, and optical materials. The following two points have been emphasized. The first point is that this review covers the widest range of introduction and discussion of the preparation and applications of both colloidal and noncolloidal MSNs. The second point is that this account contains a discussion from the viewpoints of both inorganic and colloid chemistries. After the introduction of the historical background of preparation of MSNs, preparative methods of colloidal MSNs and the major factors for the preparation of nanosized and colloidal MSNs are discussed. The methods to control the size, composition, morphology, and pore size of MSNs are also presented. Appropriate methods to obtain MSNs with high colloidal dispersibility are also discussed. Applications of colloidal MSNs are introduced with an emphasis on the colloidal stability. Issues to be addressed for further developments of colloidal MSNs are finally described.

    Original languageEnglish
    Pages (from-to)501-539
    Number of pages39
    JournalBulletin of the Chemical Society of Japan
    Volume89
    Issue number5
    DOIs
    Publication statusPublished - 2016

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    Silicon Dioxide
    Nanoparticles
    Colloid chemistry
    Optical materials
    Transparency
    Pore size
    Chemical analysis

    ASJC Scopus subject areas

    • Chemistry(all)

    Cite this

    Colloidal mesoporous silica nanoparticles. / Yamamoto, Eisuke; Kuroda, Kazuyuki.

    In: Bulletin of the Chemical Society of Japan, Vol. 89, No. 5, 2016, p. 501-539.

    Research output: Contribution to journalArticle

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