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Bipolar Electrode Array for Multiplexed Detection of Prostate Cancer Biomarkers
Yu Liu1, Nan Zhang1, Jian-Bin Pan1
1State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, China.
Analytical Chemistry
|February 1, 2022
Summary
A novel microfluidic bipolar electrode (BPE) array chip enables rapid, automatic multiplex detection of prostate cancer biomarkers. This integrated electrochemiluminescence (ECL) biosensing platform offers high sensitivity and efficiency for clinical diagnostics and point-of-care testing.
Area of Science:
- Electrochemistry
- Biosensing
- Microfluidics
Background:
- Bipolar electrodes (BPEs) offer advantages in clinical analysis due to high throughput and reaction separation.
- Integrating BPEs with multiplex electrochemiluminescence (ECL) biosensing faces challenges like small sample volume, multistep processes, and separate sample loading.
Purpose of the Study:
- To develop a microfluidic BPE array chip for multiplex detection of cancer biomarkers.
- To overcome limitations of current BPE-ECL systems for efficient and automated clinical analysis.
Main Methods:
- Fabrication of a microfluidic BPE array chip with a specialized channel structure.
- Utilizing differences in channel flow resistance to control liquid flow direction for automated multiplex sampling.
- Employing the chip as an immunosensor for prostate cancer biomarkers: prostate-specific antigen (PSA), interleukin-6 (IL-6), and prostate-specific membrane antigen (PSMA).
Main Results:
- Achieved rapid and automatic multiplex sampling, enhancing sensing efficiency and reducing reagent consumption.
- Demonstrated high sensitivity and reproducibility for detecting PSA, IL-6, and PSMA with low limits of detection (0.093 ng/mL, 0.061 pg/mL, 0.059 ng/mL, respectively).
- Exhibited excellent performance in real sample analysis.
Conclusions:
- The integrated ECL BPE array chip is a promising tool for multiplex clinical sensing of cancer biomarkers.
- The developed system shows significant potential for point-of-care testing applications in cancer diagnostics.
