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author:

Jia, Yuan (Jia, Yuan.) [1] | Ni, Zhonghua (Ni, Zhonghua.) [2] | Sun, Hao (Sun, Hao.) [3] (Scholars:孙浩) | Wang, Cheng (Wang, Cheng.) [4]

Indexed by:

EI Scopus SCIE

Abstract:

Exosomes are small-sized extracellular vesicles that are released by many cell types and can be found in different bodily fluids. Exosomes have attracted significant attention over the past decades as they contain biomolecules with a similar profile to their cell of origin that can be used in identifying normal and pathological cell states, such as lipids, nucleic acids, and proteins. Therefore, exosomes are being valued over their diagnostic and therapeutic utilities and their potential as novel drug delivery vehicles. Despite their usefulness, exosomes are approximately 30-200 nm and can vary in contents and compositions, thus making the separation and detection of them extremely challenging. Current exosome isolation and detection techniques are limited by low yield, low purity, requiring cumbersome instruments, and relatively long processing time. However, recent advancements of microfluidics technologies offered new exosome isolation and detection techniques with the great potential to overcome these limitations. Here, we compiled a thorough review that includes latest works on using microfluidic technologies to isolate and detect exosomes in different bodily fluids and comments on their advantages and disadvantages, with the hope to identify future research opportunities and direction in the field.

Keyword:

Biosensors exosome extracellular vesicles lab-on-a-chip systems microfluidics

Community:

  • [ 1 ] [Jia, Yuan]Southeast Univ, Sch Mech Engn, Nanjing 210096, Jiangsu, Peoples R China
  • [ 2 ] [Ni, Zhonghua]Southeast Univ, Sch Mech Engn, Nanjing 210096, Jiangsu, Peoples R China
  • [ 3 ] [Sun, Hao]Fuzhou Univ, Sch Mech Engn & Automat, Fuzhou 350116, Fujian, Peoples R China
  • [ 4 ] [Wang, Cheng]Tianjin Normal Univ, Coll Elect & Commun Engn, Dept Artificial Intelligence, Tianjin 300387, Peoples R China
  • [ 5 ] [Wang, Cheng]Tianjin Normal Univ, Tianjin Key Lab Wireless Mobile Commun & Power Tr, Tianjin 300387, Peoples R China

Reprint 's Address:

  • 孙浩

    [Jia, Yuan]Southeast Univ, Sch Mech Engn, Nanjing 210096, Jiangsu, Peoples R China;;[Ni, Zhonghua]Southeast Univ, Sch Mech Engn, Nanjing 210096, Jiangsu, Peoples R China;;[Sun, Hao]Fuzhou Univ, Sch Mech Engn & Automat, Fuzhou 350116, Fujian, Peoples R China;;[Wang, Cheng]Tianjin Normal Univ, Coll Elect & Commun Engn, Dept Artificial Intelligence, Tianjin 300387, Peoples R China;;[Wang, Cheng]Tianjin Normal Univ, Tianjin Key Lab Wireless Mobile Commun & Power Tr, Tianjin 300387, Peoples R China

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Source :

IEEE ACCESS

ISSN: 2169-3536

Year: 2019

Volume: 7

Page: 45080-45098

3 . 7 4 5

JCR@2019

3 . 4 0 0

JCR@2023

ESI Discipline: ENGINEERING;

ESI HC Threshold:150

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count: 27

SCOPUS Cited Count: 27

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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