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Published on: February 16, 2018
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Polymeric nanoparticle-based electrochemical sensor for the detection of CA 125
1Departmet of Biomedical Engineering, Faculty of Engineering and Architecture, İstanbul Arel University, İstanbul, Turkey.
Turkish Journal of Chemistry
|September 18, 2023
Summary
A new electrochemical method using Cys-graft-p(HEMA) nanomaterials enables rapid and accurate determination of CA 125. This biosensor offers potential for early disease diagnosis and treatment monitoring.
Area of Science:
- Biomaterials Science
- Electrochemistry
- Biosensor Technology
Background:
- CA 125 is a crucial biomarker for ovarian cancer detection and monitoring.
- Existing methods for CA 125 determination can be time-consuming and lack sensitivity.
- Development of novel nanomaterials and electrochemical techniques is essential for improved diagnostics.
Purpose of the Study:
- To develop novel Cys-graft-p(HEMA) nanomaterials for CA 125 determination.
- To establish a new electrochemical method for sensitive and rapid CA 125 detection.
- To evaluate the performance of the fabricated biosensor for clinical applications.
Main Methods:
- Cys-graft-p(HEMA) nanomaterials synthesized via emulsion polymerization and grafting.
- Electrode surface modification and optimization for electrochemical analysis.
- Electrochemical detection of CA 125 using the fabricated sensor system.
Main Results:
- Cys-graft-p(HEMA) nanomaterials exhibit 50 nm spherical morphology with 0.011 mmol L-cysteine per gram.
- Linear determination range of 5-400 U/mL with high correlation (R=0.9935).
- Achieved a low detection limit (LOD) of 1.87 U/mL and quantification limit (LOQ) of 5.62 U/mL.
- The sensor demonstrated excellent repeatability, accuracy, reality, and storage stability.
- Rapid determination time of 10 minutes.
Conclusions:
- Cys-graft-p(HEMA) nanomaterials represent a novel and effective material for CA 125 biosensing.
- The developed electrochemical method offers a rapid, sensitive, and accurate approach for CA 125 determination.
- This biosensor system holds significant potential for early disease diagnosis and patient treatment monitoring.

