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Designing nanoparticle-containing polymeric substrate for detecting cancer cells by computer simulations

Abstract

Efficient and accurate detection of cancer cells (from normal cells) is of great importance in cancer diagnosis and prognosis. In this work, we design one new type of polymeric substrate containing nanoparticles for detecting cancers by dissipative particle dynamics (DPD) simulation. It is found that the cancer cell and normal cell can be indeed distinguished since the uptake number of nanoparticles from the substrate is different. The competition between nanoparticle-cell specific interaction and nanoparticle-polymer non-specific interaction is the main factor for the different uptake behaviors. Moreover, the dynamics of the nanoparticle diffusing in the polymer layer also plays an important role in the detection. To improve the detection accuracy, we further investigate the effect of polymer type and density as well as the ligand type on the detection, and find that there may exist the optimal parameter to maximize the difference between the cancer cells and normal cells. The present study may provide useful insights into the design of functionalized substrate-based nanodevices in biomedicine.

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Supplementary files

Publication details

The article was received on 06 Aug 2018, accepted on 05 Oct 2018 and first published on 08 Oct 2018


Article type: Paper
DOI: 10.1039/C8NR06340K
Citation: Nanoscale, 2018, Accepted Manuscript
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    Designing nanoparticle-containing polymeric substrate for detecting cancer cells by computer simulations

    L. Huang, Y. Yu, X. Lu, H. Ding and Y. Ma, Nanoscale, 2018, Accepted Manuscript , DOI: 10.1039/C8NR06340K

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