MXene/PEDOT:PSS-based dual-biomarker impedimetric immunosensor for accurate differentiation of prostate cancer from BPH through urinary detection

Prostate cancer (PCa) is the second most common cancer among men worldwide. Although prostate-specific antigen (PSA) is widely used for PCa screening, it lacks specificity for distinguishing PCa from benign prostatic hyperplasia (BPH). β-2-microglobulin (β2m) is a sensitive biomarker for malignant tumors and can complement the PSA for improved diagnostic accuracy. In this study, a non-invasive dual-biomarker electrochemical immunosensor was developed for urinary detection of PSA and β2m. A gold electrode was modified with MXene deposition and PEDOT:PSS electropolymerized on MXene, then functionalized with PSA and β2m antibodies. The composite MXene/PEDOT:PSS (MX/PP) electrode enabled sensitive detection through electrochemical impedance spectroscopy (EIS), which achieved detection limits of 4.96 × 10<sup>-5</sup> ng/mL for PSA and 1.1 × 10<sup>-4</sup> ng/mL for β2m. A wide linear range (approximately 0.01-600 ng/mL) was demonstrated for both the biomarkers in urine. The sensor exhibited high selectivity, reproducibility, stability, and effective differentiation between PCa and BPH. The MX/PP interface provided enhanced conductivity and surface area for antibody functionalization. This simple dual immunosensor offers a promising platform for the non-invasive, accurate, and early diagnosis of prostate cancer.

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Publication Details

Journal
Biosensors and Bioelectronics
Published
2025-08-15
DOI
https://doi.org/10.1016/j.bios.2025.117888
Citations
9
Primary Topic
MXene and MAX Phase Materials
Type
article
Field-Weighted Citation Impact
4.66
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article

MXene/PEDOT:PSS-based dual-biomarker impedimetric immunosensor for accurate differentiation of prostate cancer from BPH through urinary detection

Rashid Khan, Seongeun Lee, Feng Song, Yi Jae Lee et al.
9 citations
Biosensors and Bioelectronics
MXene and MAX Phase Materials
4.66
article

MXene/PEDOT:PSS-based dual-biomarker impedimetric immunosensor for accurate differentiation of prostate cancer from BPH through urinary detection

Rashid Khan, Seongeun Lee, Feng Song, Yi Jae Lee, Seon Joon Kim, Taesung Kim
article en
9 citations

Abstract

Prostate cancer (PCa) is the second most common cancer among men worldwide. Although prostate-specific antigen (PSA) is widely used for PCa screening, it lacks specificity for distinguishing PCa from benign prostatic hyperplasia (BPH). β-2-microglobulin (β2m) is a sensitive biomarker for malignant tumors and can complement the PSA for improved diagnostic accuracy. In this study, a non-invasive dual-biomarker electrochemical immunosensor was developed for urinary detection of PSA and β2m. A gold electrode was modified with MXene deposition and PEDOT:PSS electropolymerized on MXene, then functionalized with PSA and β2m antibodies. The composite MXene/PEDOT:PSS (MX/PP) electrode enabled sensitive detection through electrochemical impedance spectroscopy (EIS), which achieved detection limits of 4.96 × 10<sup>-5</sup> ng/mL for PSA and 1.1 × 10<sup>-4</sup> ng/mL for β2m. A wide linear range (approximately 0.01-600 ng/mL) was demonstrated for both the biomarkers in urine. The sensor exhibited high selectivity, reproducibility, stability, and effective differentiation between PCa and BPH. The MX/PP interface provided enhanced conductivity and surface area for antibody functionalization. This simple dual immunosensor offers a promising platform for the non-invasive, accurate, and early diagnosis of prostate cancer.

Biosensors and BioelectronicsVol. 289
Korea Institute of Brain Science (KR), Korea Institute of Science and Technology (KR), Sungkyunkwan University (KR), Korea University of Science and Technology (KR)
Openalex Percentile: Top 5%
MXene and MAX Phase Materials
4.66
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MXene/PEDOT:PSS-based dual-biomarker impedimetric immunosensor for accurate differentiation of prostate cancer from BPH through urinary detection — Rashid Khan, Seongeun Lee, et al. · Biosensors and Bioelectronics (2025) | TGRS Research Map | TGRS