scholarly journals Surface enhanced Raman scattering of extracellular vesicles for cancer diagnostics despite isolation dependent lipoprotein contamination

Nanoscale ◽  
2021 ◽  
Author(s):  
Hanna Koster ◽  
Tatu Rojalin ◽  
Alyssa Powell ◽  
Dina Pham ◽  
Rachel Mizenko ◽  
...  

Given the emerging diagnostic utility of extracellular vesicles (EVs), it is important to account for non-EV contaminants. Lipoprotein present in EV-enriched isolates may inflate particle counts and decrease sensitivity to...

The Analyst ◽  
2020 ◽  
Vol 145 (19) ◽  
pp. 6232-6236
Author(s):  
Min Hou ◽  
Dinggeng He ◽  
Hongchang Bu ◽  
Huizhen Wang ◽  
Jin Huang ◽  
...  

A sandwich-type surface-enhanced Raman scattering (SERS) sensor using dual aptamers and gold-enhanced Raman signal probes has been successfully constructed for the detection of tumor-derived extracellular vesicles.


2020 ◽  
Vol 412 (27) ◽  
pp. 7659-7667
Author(s):  
Valentina Gallo ◽  
Antonia Lai ◽  
Alessandra Pasquo ◽  
Salvatore Almaviva ◽  
Stefano Iacobelli ◽  
...  

Abstract The research and the individuation of tumour markers in biological fluids are currently one of the main tools to support diagnosis, prognosis, and monitoring of the therapeutic response in oncology. Although the identification of tumour markers in asymptomatic patients is crucial for early diagnosis, its application is still limited by the relatively low sensitivity and the complexity of existing methods (i.e. ELISA, mass spectrometry). We developed an easy, fast, and ultrasensitive surface-enhanced Raman scattering (SERS)–based system, for the detection and quantitation of the LGALS3BP (90K) biomarker that was used as a model, based on the development of antibody-functionalized nanostructured gold surfaces. The detection system was effective for the ultrasensitive detection and characterization of samples of different biochemical compositions. In conclusion, this work could provide the foundation for the development of a medical diagnostic device with the highest predictive power when compared with the methods currently used in cancer diagnostics.


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