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Recent developments in biosensing methods for extracellular vesicle protein characterization
被引:19
作者:
Suthar, Jugal
[1
,2
]
Taub, Marissa
[2
]
Carney, Randy P.
[3
]
Williams, Gareth R.
[2
]
Guldin, Stefan
[1
]
机构:
[1] UCL, Dept Chem Engn, Torrington Pl, London WC1E 7JE, England
[2] UCL, UCL Sch Pharm, 29-39 Brunswick Sq, London WC1N 1AX, England
[3] Univ Calif Davis, Dept Biomed Engn, Davis, CA 95616 USA
基金:
英国工程与自然科学研究理事会;
关键词:
absorbance;
acoustic resonators;
biosensing;
electrochemical;
electrochemical quartz crystal microbalance with dissipation;
exosomes;
extracellular vesicles;
fluorescence;
interferometry;
plasmon resonance;
surface enhanced Raman spectroscopy;
SURFACE-PLASMON RESONANCE;
SERS ANALYSIS;
EXOSOMES;
QUANTIFICATION;
SIZE;
TRANSMISSION;
TECHNOLOGIES;
APTASENSOR;
SENSOR;
D O I:
10.1002/wnan.1839
中图分类号:
TB3 [工程材料学];
学科分类号:
0805 ;
080502 ;
摘要:
Research into extracellular vesicles (EVs) has grown significantly over the last few decades with EVs being widely regarded as a source of biomarkers for human health and disease with massive clinical potential. Secreted by every cell type in the body, EVs report on the internal cellular conditions across all tissue types. Their presence in readily accessible biofluids makes the potential of EV biosensing highly attractive as a noninvasive diagnostic platform via liquid biopsies. However, their small size (50-250 nm), inherent heterogeneity, and the complexity of the native biofluids introduce challenges for effective characterization, thus, limiting their clinical utility. This has led to a surge in the development of various novel EV biosensing techniques, with capabilities beyond those of conventional methods that have been directly transferred from cell biology. In this review, key detection principles used for EV biosensing are summarized, with a focus on some of the most recent and fundamental developments in the field over the last 5 years. This article is categorized under: Diagnostic Tools > Biosensing Diagnostic Tools > In Vitro Nanoparticle-Based Sensing
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页数:29
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