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A prostate-specific antigen electrochemical immunosensor based on Pd NPs functionalized electroactive Co-MOF signal
Li Dai1, Yueyuan Li1, Yaoguang Wang1
1Key Laboratory of Interfacial Reaction & Sensing Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, PR China.
A novel electrochemical immunosensor was developed for prostate-specific antigen (PSA) detection. This sensor utilizes a palladium nanoparticles and zeolitic imidazolate framework-67 nanocomposite for highly sensitive and stable PSA quantification in samples.
Area of Science:
- Electrochemistry
- Nanomaterials Science
- Biomedical Engineering
Background:
- Prostate-specific antigen (PSA) is a key biomarker for prostate cancer detection.
- Development of sensitive and selective electrochemical immunosensors is crucial for early diagnosis.
- Novel nanomaterials offer enhanced catalytic and signal amplification properties for biosensing.
Purpose of the Study:
- To construct a sandwich-type electrochemical immunosensor for sensitive PSA detection.
- To utilize a palladium nanoparticles/amino-zeolitic imidazolate framework-67 (Pd/NH2-ZIF-67) nanocomposite as a redox mediator.
- To evaluate the performance of the developed immunosensor for PSA quantification.
Main Methods:
- Fabrication of a Pd/NH2-ZIF-67 nanocomposite as a redox mediator.
- Immobilization of antibodies onto the electrode surface for PSA capture.
- Amperometric detection of the electrochemical signal generated by the sensing platform.
- Optimization of reaction conditions for maximal sensor performance.
Main Results:
- The immunosensor demonstrated a wide detection range for PSA from 100 fg/mL to 50 ng/mL.
- A low limit of detection of 0.03 pg/mL was achieved.
- The sensor exhibited excellent selectivity, repeatability, and stability.
Conclusions:
- The developed electrochemical immunosensor shows great potential for quantitative PSA detection.
- The Pd/NH2-ZIF-67 nanocomposite serves as an effective redox mediator and catalyst.
- This platform is a promising tool for analyzing biomarkers in real samples.
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