• 文献标题:   Dual selective sensor for exosomes in serum using magnetic imprinted polymer isolation sandwiched with aptamer/graphene oxide based FRET fluorescent ignition
  • 文献类型:   Article
  • 作  者:   FENG DW, REN MX, MIAO YF, LIAO ZR, ZHANG TJ, CHEN S, YE KD, ZHANG PJ, MA XL, NI JT, HU XQ, LI HJ, PENG JR, LUO AQ, GENG LN, DENG YL
  • 作者关键词:   fluorescent sensor, exosome, imprinted polymer, aptamer, graphene oxide, fret, poorly characterized target
  • 出版物名称:   BIOSENSORS BIOELECTRONICS
  • ISSN:   0956-5663 EI 1873-4235
  • 通讯作者地址:  
  • 被引频次:   12
  • DOI:   10.1016/j.bios.2022.114112 EA APR 2022
  • 出版年:   2022

▎ 摘  要

The selective and sensitive detection of cancerous exosomes in serum is critical for early disease diagnosis and improved prognosis. Previous exosome-related research has been limited by a lack of well-understanding in exosomes as well as the challenging background interference of body fluid. Molecularly imprinted polymers (MIPs) and nucleic acid aptamers can be regarded as the two alternatives to antibodies. When using imprinted polymer technology, comprehensive and precise information about the target constituents is not required. In this study, a novel kind of dual selective fluorescent nanosensor for the poorly characterized exosomes was constructed by integrating magnetic MIP selective exosome capture sandwiched with an aptamer/graphene oxide fluorescence resonance energy transfer system (FRET) based selective 'turn-on' exosome labeling heterogeneously. The overall strategy performance was successively evaluated using lysozyme and exosomes as targets. Good linearity and high sensitivity achieved were demonstrated. The LOD of exosomal detection in serum was 2.43 x 106 particles/mL, lower than other immunology based detection methods. The discrimination between serum from breast cancer patients and healthy people was also primarily studied. In conclusion, the developed sensor with outstanding selectivity, high detection sensitivity, simplicity, low cost, and wide applicability for known or unknown targets present significant potential in challenging clinical diagnosis.