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Biodegradable MoOx nanoparticles with efficient near-infrared photothermal and photodynamic synergetic cancer therapy at the second biological window

Abstract

Near-infrared (NIR) laser induced phototherapy has been considered as a noninvasive option for cancer therapy. Herein, we Near-infrared (NIR) laser induced phototherapy has been considered as a noninvasive option for cancer therapy. Herein, we report plasmonic PEGylated molybdenum oxide nanoparticles (PEG-MoOx NPs) that were synthesized by a facile hydrothermal method. The PEG-MoOx NPs exhibit broad absorption at the NIR biological window and remarkable photothermal conversion ability in the first (808 nm) and the second (1064 nm) windows. Moreover, the biocompatible PEG-MoOx NPs have effective cellular uptake and could eliminate gradually from liver and spleen in mice. Studies on therapeutic effects of these NPs under 808 and 1064 nm exposures with mild hyperthermia are investigated. According to the result, exposure to 1064 nm can not only effectively convert light into heat but also sensitize the formation of reactive oxygen species (ROS), which exert dramatic cancer cell deaths and suppressor in vivo due to synergic effect of photothermal therapy (PTT) and photodynamic therapy (PDT). In marked contrast, 808-nm irradiation can only execute limited PTT to cancer cells, showing relatively low inhibition rate in vitro and in vivo. This biodegradable MoOx nanoplatform with synergetic PTT and PDT functionality by using its intrinsic property upon 1064 nm irradiation provided emerging opportunities for phototherapy of cancer in nanomedicine.

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Supplementary files

Publication details

The article was accepted on 01 Dec 2017 and first published on 05 Dec 2017


Article type: Paper
DOI: 10.1039/C7NR07927C
Citation: Nanoscale, 2017, Accepted Manuscript
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    Biodegradable MoOx nanoparticles with efficient near-infrared photothermal and photodynamic synergetic cancer therapy at the second biological window

    W. Yin, T. Bao, X. Zhang, Q. Gao, J. Yu, X. Dong, L. YAN, Z. Gu and Y. Zhao, Nanoscale, 2017, Accepted Manuscript , DOI: 10.1039/C7NR07927C

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