Graphene and graphene oxide: biofunctionalization and applications in biotechnology
By Ying Wang, Zhaohui Li, Jun Wang, Jinghong Li, Yuehe Lin. Trends in Biotechnology, 2011
1,401 citations recorded by the source corpus.
Graphene is the basic building block of 0D fullerene, 1D carbon nanotubes, and 3D graphite. Graphene has a unique planar structure, as well as novel electronic properties, which have attracted great interests from scientists. This review selectively analyzes current advances in the field of graphene bioapplications. In particular, the biofunctionalization of graphene for biological applications, fluorescence-resonance-energy-transfer-based biosensor development by using graphene or graphene-based nanomaterials, and the investigation of graphene or graphene-based nanomaterials for living cell studies are summarized in more detail. Future perspectives and possible challenges in this rapidly developing area are also discussed.
Subfields: Biomedical Engineering, Materials Chemistry
View Paper: https://www.semanticscholar.org/paper/870ad0a2b95355d9dcc8f62f68765633f0f882e4
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Kostas Kostarelos
- M. Prato
- A. Bianco
- Ki Jun Yu
- Francesco Bonaccorso
- N. Annabi
- Ali Khademhosseini
- A. Castellanos-Gómez
In Materials Chemistry
- Kostas Kostarelos
- M. Prato
- Francesco Bonaccorso
- A. Bianco
- A. Castellanos-Gómez
- Jonathan N. Coleman
- Andrea C. Ferrari
- Paolo Samorì
Citations in the corpus
- Biomedical Applications of Graphene (2012, background): “All of these have been thoroughly reviewed by Li, Lin and colleagues [18], Jiang [20], and others [17,19,21,76].”
- Aptamer based fluorescence recovery assay for aflatoxin B1 using a quencher system composed of quantum dots and graphene oxide (2015, methodology): “Recently, quantum dots (Q-dots), nanocrystals with great photostability, broad excitations and narrow emissions, have been used to develop sensitive methods based on GO fluorescence quenching mechanism [21].”
- Soft materials in neuroengineering for hard problems in neuroscience. (2015, background): “, 2010; Wang, 2005), and graphene (Wang et al., 2011).”