Kafkas University, Faculty of Science and Letters, Department of Chemistry, Kars, Turkey.
Kafkas University, Department of Chemistry and Chemical Processing Technologies, Kars Vocational School, Kars, Turkey.
Anal Chim Acta. 2020 Dec 1;1139:100-110. doi: 10.1016/j.aca.2020.09.034. Epub 2020 Sep 21.
Monitoring the malignant tumors via cancer biomarkers is very significant process. Nonetheless, the practical clinical applications need selective and sensitive analytical methods/techniques. In this study, a novel sandwich type immunosensor based on surface-enhanced raman scattering (SERS) was presented including 4-mercaptobenzoic acid labeled MoS nanoflowers@Au nanoparticles (MoS NFs@Au NPs/ MBA) as CEASERS tag and FeO@Au nanoparticles functionalized delaminated TiCT MXene (FeO NPs@Au NPs/d-TiCT MXene) as SERS magnetic supporting substrate for carcinoembryonic antigen (CEA) detection. Especially, the determination of single molecule by using SERS method enables early diagnosis of major diseases. In addition, this technique can be utilized for multiplex analyzes owing to narrow well-resolved peaks. The prepared CEASERS tag and SERS magnetic supporting substrate were characterized by scanning electron microscope (SEM), x-ray diffraction (XRD) method, x-ray photoelectron spectroscopy (XPS), transmission electron microscopy (TEM) and fourier transform infrared spectroscopy (FTIR). A linearity of 0.0001-100.0 ng mL was observed with high sensitivity. Finally, sandwich type immunosensor demonstrated good selectivity and stability for target CEA recognition in plasma sample.
通过癌症生物标志物监测恶性肿瘤是一个非常重要的过程。然而，实际的临床应用需要选择性和灵敏的分析方法/技术。在这项研究中，提出了一种基于表面增强拉曼散射（SERS）的新型三明治型免疫传感器，包括 4-巯基苯甲酸标记的 MoS 纳米花@Au 纳米颗粒（MoS NFs@Au NPs/MBA）作为 CEASERS 标签和 FeO@Au 纳米颗粒功能化剥离 TiCT MXene（FeO NPs@Au NPs/d-TiCT MXene）作为 SERS 磁性支撑基底，用于检测癌胚抗原（CEA）。特别是，通过 SERS 方法测定单分子可以实现对主要疾病的早期诊断。此外，由于具有窄的分辨良好的峰，该技术可用于多重分析。通过扫描电子显微镜（SEM）、X 射线衍射（XRD）法、X 射线光电子能谱（XPS）、透射电子显微镜（TEM）和傅里叶变换红外光谱（FTIR）对制备的 CEASERS 标签和 SERS 磁性支撑基底进行了表征。观察到 0.0001-100.0ng mL 的线性范围，具有高灵敏度。最后，三明治型免疫传感器在血浆样品中对目标 CEA 的识别表现出良好的选择性和稳定性。
