1. Academic Validation
  2. An Electrochemiluminescent Sensor Based on Glycosyl Imprinting and Aptamer for the Detection of Cancer-Related Extracellular Vesicles

An Electrochemiluminescent Sensor Based on Glycosyl Imprinting and Aptamer for the Detection of Cancer-Related Extracellular Vesicles

  • Anal Chem. 2024 Feb 13;96(6):2550-2558. doi: 10.1021/acs.analchem.3c04991.
Zejun Jiang 1 Kui Luo 1 Guangwei Yang 1 Yang Li 2 Ling Li 1 Guocong Wang 2 Tao Qin 3 Jianping Li 1 2
Affiliations

Affiliations

  • 1 College of Environmental Science and Engineering, Guilin University of Technology, Guilin 541004, China.
  • 2 College of Chemistry and Bioengineering, Guilin University of Technology, Guilin 541004, China.
  • 3 Affiliated Hospital of Guilin Medical University, Guilin 541001, China.
Abstract

Cancer-related extracellular vesicles (EVs) are considered important biomarkers for Cancer diagnosis because they can convey a large amount of information about tumor cells. In order to detect cancer-related EVs efficiently, an electrochemiluminescence (ECL) sensor for the specific identification and highly sensitive detection of EVs in the plasma of Cancer patients was constructed based on dual recognitions by glycosyl-imprinted polymer (GIP) and aptamer. The characteristic glycosyl Neu5Ac-α-(2,6)-Gal-β-(1-4)-GlcNAc trisaccharide on the surface of EVs was used as a template molecule and 3-aminophenylboronic acid as a functional monomer to form a glycosyl-imprinted polymer by electropolymerization. After glycosyl elution, the imprinted film specifically recognized and adsorbed the EVs in the sample, and then the CD63 aptamer-bipyridine ruthenium (Aptamer-Ru(bpy)) was added to combine with the CD63 glycoprotein on the extracellular vesicle's surface, thus providing secondary recognition of the EVs. Finally, the EVs were quantitatively detected according to the ECL signal produced by the labeled bipyridine ruthenium. When more EVs were captured by the imprinted film, more probes were obtained after incubation, and the ECL signal was stronger. Under the optimized conditions, the ECL signal showed a good linear relationship with the concentration of EVs in the range of 9.5 × 102 to 9.5 × 107 particles/mL, and the limit of detection was 641 particles/mL. The GIP sensor can discriminate between the EV contents of Cancer patients and healthy controls with high accuracy. Because of its affordability, high sensitivity, and ease of use, it is anticipated to be employed for Cancer early detection and diagnosis.

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