共 152 条
Biosensors based on graphene oxide and its biomedical application
被引:307
作者:

Lee, Jieon
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机构:
Seoul Natl Univ, Inst Basic Sci, Ctr RNA Res, Seoul 151747, South Korea
Seoul Natl Univ, Dept Chem, Seoul 151747, South Korea Seoul Natl Univ, Inst Basic Sci, Ctr RNA Res, Seoul 151747, South Korea

Kim, Jungho
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h-index: 0
机构:
Seoul Natl Univ, Inst Basic Sci, Ctr RNA Res, Seoul 151747, South Korea
Seoul Natl Univ, Dept Chem, Seoul 151747, South Korea Seoul Natl Univ, Inst Basic Sci, Ctr RNA Res, Seoul 151747, South Korea

Kim, Seongchan
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h-index: 0
机构:
Seoul Natl Univ, Inst Basic Sci, Ctr RNA Res, Seoul 151747, South Korea
Seoul Natl Univ, Dept Chem, Seoul 151747, South Korea Seoul Natl Univ, Inst Basic Sci, Ctr RNA Res, Seoul 151747, South Korea

论文数: 引用数:
h-index:
机构:
机构:
[1] Seoul Natl Univ, Inst Basic Sci, Ctr RNA Res, Seoul 151747, South Korea
[2] Seoul Natl Univ, Dept Chem, Seoul 151747, South Korea
[3] Lemonex Inc, Inst Nanobio Convergence Technol, Seoul 151742, South Korea
基金:
新加坡国家研究基金会;
关键词:
Biomolecule;
Biosensor;
Electrochemistry;
FRET;
Graphene oxide;
Hybrid nanomaterial;
LDI-MS;
SERS;
ENHANCED RAMAN-SPECTROSCOPY;
RESONANCE ENERGY-TRANSFER;
FREE SIGNAL AMPLIFICATION;
PEPTIDE NUCLEIC-ACID;
MALDI-TOF-MS;
DESORPTION/IONIZATION MASS-SPECTROMETRY;
DISPLACEMENT POLYMERIZATION REACTION;
HYBRIDIZATION CHAIN-REACTION;
HOMOGENEOUS DNA DETECTION;
MOLECULAR APTAMER BEACON;
D O I:
10.1016/j.addr.2016.06.001
中图分类号:
R9 [药学];
学科分类号:
1007 ;
摘要:
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.
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页码:275 / 287
页数:13
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