2022
DOI: 10.1016/j.bios.2022.114112
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Dual selective sensor for exosomes in serum using magnetic imprinted polymer isolation sandwiched with aptamer/graphene oxide based FRET fluorescent ignition

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Cited by 42 publications
(19 citation statements)
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“…The 3D porous serpentine nanostructures were innovatively constructed, and multiplexed detection of exosomes was allowed by this chip. In addition, it has shown that the dual-selective fluorescent nanosensor (Feng et al, 2022), 3D nanomachine based on Janus wireframe DNA cube (Xu et al, 2022), and 3D molecular beacon based on cubic DNA nanospaces (Mao et al, 2022) can be used for the characterization and analysis of exosomes (Guo et al, 2021b).…”
Section: Capture By 3d Zno Nanoarraysmentioning
confidence: 99%
“…The 3D porous serpentine nanostructures were innovatively constructed, and multiplexed detection of exosomes was allowed by this chip. In addition, it has shown that the dual-selective fluorescent nanosensor (Feng et al, 2022), 3D nanomachine based on Janus wireframe DNA cube (Xu et al, 2022), and 3D molecular beacon based on cubic DNA nanospaces (Mao et al, 2022) can be used for the characterization and analysis of exosomes (Guo et al, 2021b).…”
Section: Capture By 3d Zno Nanoarraysmentioning
confidence: 99%
“…These properties have been recently used for molecular detection and analysis of circulating biomarkers including EVs [ 185 ]. The electrical property of graphene and graphene oxide provide an excellent opportunity to design field-effect-transistor (FET)-based biosensors for EV detection [ 186 , 187 , 188 , 189 , 190 ]. For example, Tsang et al fabricated a back-gated graphene FET biosensor by depositing a graphene monolayer onto a microfluidic device by chemical vapor deposition [ 186 ].…”
Section: Carbon Nanomaterialsmentioning
confidence: 99%
“…The application of MIPs to pre-existing sensing mechanisms can significantly improve their sensitivity. Feng et al developed a fluorescence resonance energy transfer system (FRET) for the detection of exosomes in the serum of breast cancer patients with an LOD of 2.43 × 10 6 particles/mL [ 95 ]. The sensor consisted of two elements that formed a sandwich in the presence of the target of interest: an MIP capture element and an aptamer/graphene oxide (GO) selective ‘turn-on’ component.…”
Section: Mip-based Cancer Diagnosismentioning
confidence: 99%