Tyrosinase-Responsive Activated Nano-Coated Sensor for Sensitive Detection of Melanoma Biomarkers

用于灵敏检测黑色素瘤生物标志物的酪氨酸酶响应型活性纳米涂层传感器

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Abstract

BACKGROUND: Melanoma is a highly metastatic skin cancer with occult early symptoms, making sensitive diagnostic tools essential for early intervention. Tyrosinase (TYR), a key enzyme in melanogenesis, is aberrantly secreted into the bloodstream by melanoma cells and thus serves as a promising biomarker for melanoma. However, the ultralow concentration of TYR in serum (0.066-0.636 U/L) poses a significant challenge to conventional detection methods, highlighting the need for more sensitive detection strategies. METHODS: An electrochemical biosensor was engineered using a screen-printed electrode (SPE) as the base. The SPE was modified with a nanocomposite consisting of tyramine-functionalized carboxylated multi-walled carbon nanotubes (MWCNTs-tyr), gold nanoparticles (Au NPs), and poly(3,4-ethylenedioxythiophene) (PEDOT). To validate the sensor's performance, differential pulse voltammetry (DPV) was employed, with tests conducted in phosphate-buffered saline (PBS, pH 7.0) and murine serum samples. RESULTS: The MWCNTs-tyr/Au NPs/PEDOT nanocomposite synergistically enhanced the sensor's conductivity, catalytic activity, and TYR-specific binding capacity. The sensor exhibited a wide linear detection range for TYR (0.05~0.9 U/L, R(2) = 0.9914), and a low detection limit of 0.0091 U/L. Additionally, it showed excellent reproducibility (5 consistent measurements at a TYR concentration of 0.1 U/L) and high specificity against common serum interferents. In tumor-bearing mice, TYR serum levels were found to correlate with tumor progression: TYR concentration was 0.084 ± 0.009 U/L when tumor volume was 68 ± 5.25 mm(3), and increased to 0.653 ± 0.028 U/L when tumor volume reached 1280 ± 89.22 mm(3). CONCLUSION: This study presents a proof-of-concept for a MWCNTs-tyr/Au/PEDOT/SPE biosensor. The platform enables rapid and sensitive detection of TYR in small-volume samples and effectively monitors tumor burden in a murine model, demonstrating its potential as a research tool for melanoma biomarker investigation.

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