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通过特异性结合和多种报告分子实现细胞因子的超灵敏表面增强拉曼散射检测。

Ultrasensitive SERS detection of cytokines through specific binding and multiple reporter molecules.

作者信息

Chen Hairong, Zhang Hengchang, Duan Lingfeng, Sun Kaidi, Li Rui, Wang Yunxia, Yao Jiacheng, Yan Changchun, Liu Ying, Wu Ying, Yang Guohai, Han Caiqin

机构信息

Jiangsu Key Laboratory of Advanced Laser Materials and Devices, School of Physics and Electronic Engineering, Jiangsu Normal University, 221116, China.

Suzhou Shanhe Optoelectronic Technology CO., LTD. Suzhou, 215000, China.

出版信息

Anal Chim Acta. 2025 Oct 1;1369:344355. doi: 10.1016/j.aca.2025.344355. Epub 2025 Jun 20.

Abstract

Interleukins (IL) play a vital part in molecular recognition as well as immune response, and their excessive or inappropriate production can lead to inflammatory and cardiovascular diseases, etc., which are harmful to human physical and mental health. Thus, there is a pressing need to develop a strategy for the rapid and highly sensitive detection of such low concentration substances. In this study, we developed a Surface enhanced Raman spectroscopy (SERS) immunosensor for qualitative and quantitative analysis of multiple cytokines (IL-1, IL-4 and IL-6). Three Raman reporters were modified on gold nanoparticles and coupled with corresponding antibodies to form immunoprobes. The silver nanospace folded rods were prepared by tilted angle deposition technique, connected with antibodies to form an immunosensor. When the target antigen appeared on the immunosensor, it would specifically bind with the antibody to form a "sandwich" structure. Respectively, the detection limits of IL-6, IL-1 and IL-4 were 1.00 pg/mL, 0.93 pg/mL and 1.00 pg/mL. The three inflammatory factors were successfully distinguished and predicted by machine learning. In addition, we detected and calculated the recovery of IL-6 cytokines in saliva samples. The method can achieve quantitative detection and qualitative differentiation of target detectors in a wide concentration range. Meanwhile, it has the advantages of rapidity, simplicity and high specificity, which has a broad application prospect in biomedical field.

摘要

白细胞介素(IL)在分子识别以及免疫反应中发挥着至关重要的作用,其过量产生或产生不当会导致炎症和心血管疾病等,对人类身心健康有害。因此,迫切需要开发一种用于快速、高灵敏度检测此类低浓度物质的策略。在本研究中,我们开发了一种表面增强拉曼光谱(SERS)免疫传感器,用于多种细胞因子(IL-1、IL-4和IL-6)的定性和定量分析。三种拉曼报告分子修饰在金纳米颗粒上,并与相应抗体偶联形成免疫探针。通过倾斜角沉积技术制备银纳米空间折叠棒,与抗体连接形成免疫传感器。当目标抗原出现在免疫传感器上时,它会与抗体特异性结合形成“三明治”结构。IL-6、IL-1和IL-4的检测限分别为1.00 pg/mL、0.93 pg/mL和1.00 pg/mL。通过机器学习成功区分并预测了这三种炎症因子。此外,我们检测并计算了唾液样本中IL-6细胞因子的回收率。该方法可在宽浓度范围内实现目标检测物的定量检测和定性区分。同时,它具有快速、简便和高特异性的优点,在生物医学领域具有广阔的应用前景。

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