4.7 Article

Novel dual stimuli-responsive ABC triblock copolymer: RAFT synthesis, schizophrenic micellization, and its performance as an anticancer drug delivery nanosystem

Journal

JOURNAL OF COLLOID AND INTERFACE SCIENCE
Volume 488, Issue -, Pages 282-293

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jcis.2016.11.002

Keywords

RAFT polymerization; Triblock copolymer; Self-assembly; Schizophrenic; Stimuli-responsive; Enhanced drug delivery

Funding

  1. Drug Applied Research Center

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A novel pH- and thermo-responsive ABC triblock copolymer {poly[(2-succinyloxyethyl methacrylate)-b-(N-isopropylacrylamide)-b-[(N-4-vinylbenzyl),N,N-diethylamine]]} [P(SEMA-b-NIPAAm-b-VEA)] was successfully synthesized via reversible addition of fragmentation chain transfer (RAFT) polymerization technique. The molecular weights of PHEMA, PNIPAAm, and PVEA segments in the synthesized triblock copolymer were calculated to be 10,670, 6140, and 9060 g mol(-1), respectively, from proton nuclear magnetic resonance (1H NMR) spectroscopy. The schizophrenic self-assembly behavior of the synthesized P(SEMA-b-NIPAAm-b-VEA) triblock copolymer under pH and thermal stimulus were investigated by means of 1H NMR and ultravioletvisible (UVvis) spectroscopies as well as dynamic light scattering (DLS) and zeta potential (xi) measurements. The doxorubicin hydrochloride (DOX)-loading capacity, and stimuli-responsive drug release ability of the synthesized triblock copolymer were also investigated. The biocompatibility of the synthesized triblock copolymer was confirmed through the assessing survival rate of breast cancer cell line (MCF7) using MTT assay. In contrast, DOX-loaded triblock copolymer exhibited an efficient anticancer performance in comparison with free DOX verified by MTT and DAPI staining assays. As the results, we envision that the synthesized P(SEMA-b-NIPAAm-b-VEA) triblock copolymer can be applied as an enhanced anticancer drug delivery nanosystem, mainly due to its smart physicochemical and biocompatibility properties. (C) 2016 Elsevier Inc. All rights reserved.

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