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    Graphene: Promises, facts, opportunities, and challenges in nanomedicine

    , Article Chemical Reviews ; Volume 113, Issue 5 , 2013 , Pages 3407-3424 ; 00092665 (ISSN) Mao, H. Y ; Laurent, S ; Chen, W ; Akhavan, O ; Imani, M ; Ashkarran, A. A ; Mahmoudi, M ; Sharif University of Technology
    2013
    Abstract
    Graphene, a two-dimensional (2D) sheet of sp2-hybridized carbon atoms packed into a honeycomb lattice, has led to an explosion of interest in the field of materials science, physics, chemistry, and biotechnology since the few-layers graphene (FLG) flakes were isolated from graphite in 2004. For an extended search, derivatives of nanomedicine such as biosensing, biomedical, antibacterial, diagnosis, cancer and photothermal therapy, drug delivery, stem cell, tissue engineering, imaging, protein interaction, DNA, RNA, toxicity, and so on were also added. Since carbon nanotubes are normally described as rolled-up cylinders of graphene sheets and the controllable synthesis of nanotubes is well... 

    Determination of nanoparticles using UV-Vis spectra

    , Article Nanoscale ; Volume 7, Issue 12 , Feb , 2015 , Pages 5134-5139 ; 20403364 (ISSN) Behzadi, S ; Ghasemi, F ; Ghalkhani, M ; Ashkarran, A. A ; Akbari, S. M ; Pakpour, S ; Hormozi Nezhad, M. R ; Jamshidi, Z ; Mirsadeghi, S ; Dinarvand, R ; Atyabi, F ; Mahmoudi, M ; Sharif University of Technology
    Royal Society of Chemistry  2015
    Abstract
    Nanoparticles (NPs) are increasingly being used in different branches of science and in industrial applications; however, their rapid detection and characterization at low concentration levels have remained a challenge; more specifically, there is no single technique that can characterize the physicochemical properties of NPs (e.g. composition and size). In this work we have developed a colorimetric sensor array for defining the physicochemical properties of NPs in aqueous solution with ultra-low concentrations (e.g. 10-7g ml-1 for gold NPs). Various NPs were readily identified using a standard chemometric approach (i.e. hierarchical clustering analysis), with no misclassifications over 400...