2019
DOI: 10.1016/j.bios.2019.111434
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Multidimensional (0D-3D) nanostructures for lung cancer biomarker analysis: Comprehensive assessment on current diagnostics

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Cited by 47 publications
(22 citation statements)
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“…Constructing a solid 3D network is an important strategy for obtaining new and stable graphene nanocomposites that are free of restacking and have many advantageous properties, e.g., high surface area, accessible inner space, tunable electronic properties, better mechanical stability, and enhanced conductivity/electrocatalytic properties. These properties make such 3D architectures suitable for efficient and selective biosensing applications ( Kim et al, 2017 ; Lu, 2018 ; Passaretti et al, 2019 ; Ramanathan et al, 2019 ; Vermisoglou et al, 2020 ).…”
Section: Carbon-based Nanomaterialsmentioning
confidence: 99%
“…Constructing a solid 3D network is an important strategy for obtaining new and stable graphene nanocomposites that are free of restacking and have many advantageous properties, e.g., high surface area, accessible inner space, tunable electronic properties, better mechanical stability, and enhanced conductivity/electrocatalytic properties. These properties make such 3D architectures suitable for efficient and selective biosensing applications ( Kim et al, 2017 ; Lu, 2018 ; Passaretti et al, 2019 ; Ramanathan et al, 2019 ; Vermisoglou et al, 2020 ).…”
Section: Carbon-based Nanomaterialsmentioning
confidence: 99%
“…Two-dimensional nanomaterials are classified as nanoplates, nanosheets, nano-disks, and nano-prisms. A thick graphene oxide nanosheet coated with gold nanoparticles has been used to identify cancer cell protein biomarkers (Ramanathan et al, 2019). Polymer-coated graphene oxide nanosheets have demonstrated biological properties against gram-positive and negative bacteria (Mahmoudi et al, 2016).…”
Section: Defining Nanostructuresmentioning
confidence: 99%
“…Up to now, various 0D nanomaterials have been extensively explored. For instance, graphene quantum dots (GQDs) (Qian et al, 2014;Lu et al, 2018;Yan et al, 2019), carbon quantum dots (CQDs) (Zheng et al, 2015;Li et al, 2018b;Pandit et al, 2019), fullerenes (Barberis et al, 2015;, inorganic quantum dots (QDs) (Freeman et al, 2012;Li et al, 2018a;Robidillo et al, 2019), magnetic nanoparticles (MNPs) (Yu et al, 2017;Bragina et al, 2019), noble metal nanoparticles (Yang C. T. et al, 2016;Jain and Chauhan, 2017;Bagheri et al, 2018), upconversion nanoparticles (UCNPs) (Cheng Z. H. et al, 2019;Gu et al, 2019) and polymer dots (Pdots) (Ou et al, 2019; are all representative 0D nanomaterials with potential applications in materials science (Zhang X. et al, 2014), photovoltaic science (Guo et al, 2010), catalysis (Xu et al, 2015), energy (Guldi and Sgobba, 2011), sensing (Ramanathan et al, 2019), biomedicine (Yao et al, 2018) and nanodevices (Zhang Y. et al, 2014).…”
Section: Introductionmentioning
confidence: 99%