Recent achievements in exosomal biomarkers detection by nanomaterials-based optical biosensors - A review.


Journal

Analytica chimica acta
ISSN: 1873-4324
Titre abrégé: Anal Chim Acta
Pays: Netherlands
ID NLM: 0370534

Informations de publication

Date de publication:
01 Jun 2020
Historique:
received: 14 09 2019
revised: 20 02 2020
accepted: 21 02 2020
entrez: 4 5 2020
pubmed: 4 5 2020
medline: 30 12 2020
Statut: ppublish

Résumé

Exosomal biomarkers including tumor-derived exosomes, exosomal surface proteins and exosomal nucleic acids have emerged as one of the most important and general cancer biomarkers in modern biomedical science. These indicators can provide momentous biological information for early diagnosis and treatment of cancer. Recently, numerous studies have been conducted to design biosensors for exosomal biomarkers detection and profiling with high sensitivity and strong applied ability. Among these biosensors, nanomaterial-based optical biosensors are prospective future platforms for rapid and cost-effective detection of exosomal biomarkers. Firstly, we have focused on the progress and advancements in different optical-transducing approaches (Surface-Enhanced Raman Scattering, Surface Plasmon Resonance, Colorimetry, Immunochromatographic assay, Chemiluminescence, Electrochemiluminescence, and fluorescence) for detecting and profiling exosomal biomarkers. Additionally, we have summarized strengths and drawbacks of each strategy. Finally, challenges and future outlooks in developing efficient nanomaterial-based optical biosensor systems for exosomal tumor biomarkers detection have been discussed. The review will exhibit an overview of this field and provide meaningful information for scientific researchers.

Identifiants

pubmed: 32359518
pii: S0003-2670(20)30233-6
doi: 10.1016/j.aca.2020.02.041
pii:
doi:

Substances chimiques

Biomarkers, Tumor 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

74-84

Informations de copyright

Copyright © 2020. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Baoyi Shao (B)

State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, National Demonstration Center for Experimental Biomedical Engineering Education, Southeast University, Nanjing, 210096, PR China.

Zhongdang Xiao (Z)

State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, National Demonstration Center for Experimental Biomedical Engineering Education, Southeast University, Nanjing, 210096, PR China. Electronic address: zdxiao@seu.edu.cn.

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Classifications MeSH