Noninvasive Detection of Bladder Cancer Markers Based on Gold Nanomushrooms and Sandwich Immunoassays

免疫分析 表面等离子共振 胶体金 膀胱癌 癌症生物标志物 分析物 生物标志物 金标准(测试) 检出限 抗原 癌症 抗体 材料科学 纳米技术 化学 医学 色谱法 纳米颗粒 内科学 免疫学 生物化学
作者
Ziyi Yang,Wen-Huei Chang,Yi-Chun Chiu,Chun‐Hung Lin
出处
期刊:ACS applied nano materials [American Chemical Society]
卷期号:6 (7): 5557-5567 被引量:7
标识
DOI:10.1021/acsanm.2c05600
摘要

Bladder cancer is one of the most common malignancies in the urinary system. Cystoscopy is the traditional standard diagnostic method for bladder cancer with subsequent biopsy or surgery. However, this method is uncomfortable for most patients because it requires anesthesia and possibly causes infections. Because of the high recurrence rate of bladder cancer, a rapid, low-cost, high-sensitivity, and noninvasive sensing method is needed. This study employed gold nanomushroom (AuNM) chips for bladder cancer biomarker detection, combining the benefits of sandwich immunoassay and localized surface plasmon resonance (LSPR) sensing. With a metal nanotransfer printing technique, which is cheap and straightforward, the AuNMs were patterned on flexible polycarbonate (PC) sheets. The gold caps stood above PC stems and provided ample spatial areas for capturing the biomarkers to be sensed. Three biomarkers served as the antigens and analytes, including human complement factor H (CFH), hyaluronic acid (HA), and nuclear matrix protein 22 (NMP22). Different antibodies, against the same biomarker, were covalently conjugated to AuNMs or gold nanoparticles, respectively. When the antibody–antigen–antibody sandwich structure formed, the plasmonic coupling between the AuNM surface and the gold nanoparticles significantly enhanced LSPR signals. The LSPR red shifts correlated quantitatively with the concentrations of the biomarkers. The limits of detection were 6.5, 8.3, and 7.0 pg/mL for CFH, HA, and NMP22, respectively. The chip's specificity was tested and confirmed, excluding the nonspecific binding and false-positive possibility. The sensing performance of this sandwich immunoassay-based AuNM chip was better than that of the commercialized enzyme-linked immunosorbent assay. It provided a rapid, label-free, and easy operating platform for diagnosing and monitoring bladder cancer.
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