2020
DOI: 10.1039/d0tb00861c
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Nanoparticle-based biosensors for detection of extracellular vesicles in liquid biopsies

Abstract:

Selecting the appropriate nanoparticle, functionalization chemistry and sensing methodology can speed up the translation of liquid biopsies into the clinic.

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Cited by 42 publications
(35 citation statements)
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References 227 publications
(242 reference statements)
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“…Different types of target recognition molecules can be used, including antibodies, peptides, lectins, cholesterol anchors, and aptamers. Recently, over forty reports of NP-based sensors for SEVs were comprehensively reviewed and compared [ 36 ]. The sensitivity (limit of detection, LOD) of these sensors ranged from 10 2 to 10 9 vesicles per mL of solution.…”
Section: Discussionmentioning
confidence: 99%
“…Different types of target recognition molecules can be used, including antibodies, peptides, lectins, cholesterol anchors, and aptamers. Recently, over forty reports of NP-based sensors for SEVs were comprehensively reviewed and compared [ 36 ]. The sensitivity (limit of detection, LOD) of these sensors ranged from 10 2 to 10 9 vesicles per mL of solution.…”
Section: Discussionmentioning
confidence: 99%
“…Thus, this biosensor quantified changes in the number of cancer cell-specific EVs from human blood at the sensor surface upon binding to the antibodies within 1 h. These studies demonstrate the importance of developing advanced biosensors to replace conventional methods that are time-consuming and multiple handling steps. Several excellent reviews have also comprehensively discussed the applications, strengths, and drawbacks of the nanomaterial-based biosensors for detecting EVs 98 , 107 , 108 . After those nanoplatforms identifying and isolating EVs, EV-derived biomarkers can be profiled by conventional methods.…”
Section: The Biological and Pathophysiological Characteristics Of Evsmentioning
confidence: 99%
“…Nanoparticles with optical, magnetic and mechanical properties are widely harnessed in biosensor and imaging. [ 39 ] By covalent…”
Section: Nanoparticle‐based Biosensormentioning
confidence: 99%