Journal
ADVANCED DRUG DELIVERY REVIEWS
Volume 105, Issue -, Pages 275-287Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.addr.2016.06.001
Keywords
Biomolecule; Biosensor; Electrochemistry; FRET; Graphene oxide; Hybrid nanomaterial; LDI-MS; SERS
Categories
Funding
- Basic Science Research Program of IBS (Institute for Basic Science) through the National Research Foundation of Korea (NRF) [2011-0017356, 2016R1A4A1010796]
- International S&T Cooperation Program of IBS (Institute for Basic Science) through the National Research Foundation of Korea (NRF) [2014K1B1A1073716]
- Research Center Program of IBS (Institute for Basic Science) through the National Research Foundation of Korea (NRF) [IBS-R008-D1]
- SMBA - Korean government (MEST) [C0193918]
- Korea Technology & Information Promotion Agency for SMEs (TIPA) [C0193918] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
- Ministry of Science, ICT & Future Planning, Republic of Korea [IBS-R008-D1-2016-A00] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
- National Research Foundation of Korea [2011-0017356] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
Ask authors/readers for more resources
Graphene oxide (GO) is one of the most attributed materials for opening new possibilities in the development of next generation biosensors. Due to the coexistence of hydrophobic domain from pristine graphite structure and hydrophilic oxygen containing functional groups, GO exhibits good water dispersibility, biocompatibility, and high affinity for specific biomolecules as well as properties of graphene itself partly depending on preparation methods. These properties of GO provided a lot of opportunities for the development of novel biological sensing platforms, including biosensors based on fluorescence resonance energy transfer (FRET), laser desorption/ionization mass spectrometry (LDI-MS), surface-enhanced Raman spectroscopy (SERS), and electrochemical detection. In this review, we classify GO-based biological sensors developed so far by their signal generation strategy and provide the comprehensive overview of them. In addition, we offer insights into how the GO attributed in each sensor system and how they improved the sensing performance. (C) 2016 Elsevier B.V. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available