Electrochemical neuron-specific enolase (NSE) immunosensor based on CoFe2O4@Ag nanocomposite and AuNPs@MoS2/rGO

化学 傅里叶变换红外光谱 纳米复合材料 X射线光电子能谱 石墨烯 电化学 检出限 扫描电子显微镜 胶体金 核化学 循环伏安法 纳米技术 电极 纳米颗粒 介电谱 化学工程 材料科学 色谱法 工程类 物理化学 复合材料
作者
Ceren Karaman,Ömer Saltuk Bölükbaşı,Bahar Bankoğlu Yola,Onur Karaman,Necip Atar,Mehmet Lütfi Yola
出处
期刊:Analytica Chimica Acta [Elsevier BV]
卷期号:1200: 339609-339609 被引量:121
标识
DOI:10.1016/j.aca.2022.339609
摘要

Small cell lung cancer (SCLC) is highly associated with the risk of early metastasis. Neuron-specific enolase (NSE), a biomarker of SCLC, is directly related to tumor burden and early diagnosis. This biomarker exists in nerve tissue and neuroendocrine tissue. In this study, an electrochemical NSE immunosensor based on gold nanoparticles modified molybdenum disulfide and reduced graphene oxide (AuNPs@MoS2/rGO) as the electrode platform and CoFe2O4@Ag nanocomposite as the signal amplification was developed. The immobilization of anti-NSE capture antibody was successfully performed on AuNPs@MoS2/rGO modified electrode surface by amino-gold affinity and the conjugation of anti-NSE secondary antibody on CoFe2O4@Ag nanocomposite was successfully completed by the strong esterification reaction. The final immunosensor was designed by the specific interactions of electrode platform and signal amplification. The fabricated nanocomposites and electrochemical immunosensor were characterized by both physicochemical characterization techniques including transmission electron microscopy (TEM), scanning electron microscopy (SEM), x-ray diffraction (XRD), x-ray photoelectron spectroscopy (XPS), fourier transform infrared spectroscopy (FTIR), and electrochemical methods such as cyclic voltammetry (CV), square wave voltammetry (SWV), and electrochemical impedance spectroscopy (EIS). The quantification limit (LOQ) and the determination limit (LOD) were computed to be 0.01 pg mL-1 and 3.00 fg mL-1, respectively. In brief, it can be speculated that the constructed electrochemical NSE immunosensor can be successfully utilized in the early diagnosis for lung cancer.
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