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Cited by 353

The DOI matches its Crossref record; 184 of the 184 references it cites were found in a registry or an index.

Progress in Microfluidics‐Based Exosome Separation and Detection Technologies for Diagnostic Applications

Lin, Shujing, Yu, Zixian, Chen, Di, Wang, Zhigang, Miao, Jianmin, Li, Qichao, Zhang, Daoyuan, Song, Jie, Cui, Daxiang·2020·Small
DOI 10.1002/smll.201903916
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Abstract

Exosomes are secreted by most cell types and circulate in body fluids. Recent studies have revealed that exosomes play a significant role in intercellular communication and are closely associated with the pathogenesis of disease. Therefore, exosomes are considered promising biomarkers for disease diagnosis. However, exosomes are always mixed with other components of body fluids. Consequently, separation methods for exosomes that allow high‐purity and high‐throughput separation with a high recovery rate and detection techniques for exosomes that are rapid, highly sensitive, highly specific, and have a low detection limit are indispensable for diagnostic applications. For decades, many exosome separation and detection techniques have been developed to achieve the aforementioned goals. However, in most cases, these two techniques are performed separately, which increases operation complexity, time consumption, and cost. The emergence of microfluidics offers a promising way to integrate exosome separation and detection functions into a single chip. Herein, an overview of conventional and microfluidics‐based techniques for exosome separation and detection is presented. Moreover, the advantages and drawbacks of these techniques are compared.

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Metadata

Authors
Lin, S., Yu, Z., Chen, D., Wang, Z., Miao, J., Li, Q., Zhang, D., Song, J., & Cui, D.
Venue
Small
Publisher
Wiley
Published
2019-10-30
Volume
16
Issue
9
Pages
e1903916-e1903916
ISSN
  • 1613-6810 (ISSN-L)
  • 1613-6829
DOI
10.1002/smll.201903916
OpenAlex
W2982312895
Cited by
353
References
184
FWCI
9.45
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Progress in Microfluidics‐Based Exosome Separation and Detection Technologies for Diagnostic Applications. https://app.cochat.ai/papers/10.1002/smll.201903916
The paper
Lin, S., Yu, Z., Chen, D., Wang, Z., Miao, J., Li, Q., Zhang, D., Song, J., & Cui, D. (2020). Progress in Microfluidics‐Based Exosome Separation and Detection Technologies for Diagnostic Applications. Small. https://doi.org/10.1002/smll.201903916

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.