Well-Ordered Au Nanoarray for Sensitive and Reproducible Detection of Hepatocellular Carcinoma-Associated miRNA via CHA-Assisted SERS/Fluorescence Dual-Mode Sensing

双模 生物传感器 化学 肝癌 肝细胞癌 检出限 纳米技术 荧光 拉曼散射 干扰(通信) 拉曼光谱 癌症研究 材料科学 色谱法 光学 计算机科学 电子工程 计算机网络 频道(广播) 物理 工程类 生物
作者
Xueqin Huang,Hemi Tian,Lei Huang,Qiuxia Chen,Yingqi Yang,Runmin Zeng,Jiaman Xu,Shanze Chen,Xia Zhou,Guangqiang Liu,Haoyu Li,Yuan Zhang,Jianglin Zhang,Junxia Zheng,Huaihong Cai,Haibo Zhou
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:95 (14): 5955-5966 被引量:27
标识
DOI:10.1021/acs.analchem.2c05640
摘要

Ultra-sensitive detection of cancer-related biomarkers in serum is of great significance for early diagnosis, treatment, prognosis, and staging of cancer. In this work, we proposed a surface-enhanced Raman scattering and fluorescence (SERS/FL) dual-mode biosensor for hepatocellular carcinoma (HCC)-related miRNA (miR-224) detection using the composition of well-arranged Au nanoarrays (Au NAs) substrate coupled with the target-catalyzed hairpin assembly (CHA) strategy. The hot spots densely and uniformly distributed on the Au array offers considerably enhanced and reproducible SERS signals, along with their wide and open surface to facilitate miR-224 adsorption. By this sensing strategy, the target miR-224 can be detected in a wide linear range (1 fM to 1 nM) with a limit of detection of 0.34 fM in the SERS mode and 0.39 fM in the FL mode. Meanwhile, this biosensor with exceptional specificity and anti-interference ability can discriminate target miR-224 from other interference miRNAs. Practical analysis of human blood samples also demonstrated considerable reliability and repeatability of our developed strategy. Furthermore, this biosensor can distinguish HCC cancer subjects from normal ones and monitor HCC patients before and after hepatectomy as well as guide the distinct Barcelona clinic liver cancer (BCLC) stages. Overall, benefiting from a well-arranged Au nanoarray, CHA amplification strategy, and SERS/metal enhanced fluorescence effect, this established biosensor opens new avenues for the early prediction, warning, monitoring, and staging of HCC.
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