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    Improving adhesion between nanoparticles and surface of mica substrate by aminosilane modification

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    Authors
    Yin, Yaoting
    Xu, Hongmei
    Wang, Ying
    Liu, Ziyu
    Zhang, Sheng
    Weng, Zhankun
    Song, Zhengxun
    Wang, Zuobin
    Issue Date
    2019-11-09
    Subjects
    nanoparticles
    
    Metadata
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    Abstract
    In the manipulation of nanoparticles for precise placement, the relatively low adhesion of the nanoparticles to the substrate surface has emerged as a problem. Owing to the fact that nanoparticles manipulated using atomic force microscopy (AFM) often cannot be accurately placed at their predetermined destinations or may even go astray, becoming “lost,” the success rate of manipulation attempts is low. We investigated the possibility of enhancing the adhesion between magnetic nanoparticles and a substrate surface by modifying a mica substrate with a solution of 3-aminopropyltriethoxysilane (APTES). The morphology of the mica surface before and after modification was analyzed, and the adhesive force was calculated by using AFM in contact mode. The effect of different APTES-solution concentrations on the adhesive force was analyzed as well. The results demonstrate that the adhesion of the nanoparticles to the modified substrate was substantially stronger than their adhesion to an unmodified surface, a finding that can be used to improve the success rate of nanoparticle manipulation.
    Citation
    Yin Y, Xu H, Wang Y, Liu Z, Zhang S, Weng Z, Song Z, Wang Z (2020) 'Improving adhesion between nanoparticles and surface of mica substrate by aminosilane modification', Plasmonics, 15 (2), pp.399-407.
    Publisher
    Springer
    Journal
    Plasmonics
    URI
    http://hdl.handle.net/10547/624111
    DOI
    10.1007/s11468-019-01030-8
    Additional Links
    https://link.springer.com/article/10.1007/s11468-019-01030-8
    Type
    Article
    Language
    en
    ISSN
    1557-1955
    EISSN
    1557-1963
    ae974a485f413a2113503eed53cd6c53
    10.1007/s11468-019-01030-8
    Scopus Count
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    Computing

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