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用于天然植物中黄芩苷电化学传感的三维石墨烯复合材料包裹的上转换纳米颗粒

Upconversion nanoparticles incorporated with three-dimensional graphene composites for electrochemical sensing of baicalin from natural plants.

作者信息

Zhang Na, Wu Yilin, Liang Tian, Su Yongxiang, Xie Xusheng, Zhang Tianren, Wang Hongyan, Zhang Keying, Jiang Rongli

机构信息

School of Chemical Engineering and Technology, China University of Mining and Technology Xuzhou Jiangsu 221116 China

Anhui Key Laboratory of Spin Electron and Nanomaterials of Anhui Higher Education Institutes, School of Chemistry and Chemical Engineering, Suzhou University Suzhou Anhui 234000 China

出版信息

RSC Adv. 2024 Nov 11;14(48):36084-36092. doi: 10.1039/d4ra06540a. eCollection 2024 Nov 4.

Abstract

Chinese medicine has been widely studied owing to its many advantages. Baicalin (Bn), extracted from natural plants, has been shown to have significant anti-inflammatory and anticancer activity. Therefore, it is of great significance to develop a suitable method to detect the content of Bn in traditional Chinese medicine. Herein, we report an electrochemical sensor for the sensitive detection of Bn in root samples through a synergistic effect between upconversion nanoparticles (UCNPs) and three-dimensional macroporous graphene (3DG). The prepared UCNP-3DG composite was characterized using scanning electron microscopy (SEM), transmission electron microscopy (TEM) and X-ray diffraction spectroscopy (XRD). This proposed sensor exhibited a low detection limit of 3.8 × 10 M (S/N = 3). Importantly, the established method possesses good stability and selectivity and can successfully detect Bn in root samples. It provides a suitable strategy for the determination of Bn and has potential application prospects in the assay of traditional Chinese medicine.

摘要

由于其诸多优点,中药已得到广泛研究。从天然植物中提取的黄芩苷(Bn)已显示出显著的抗炎和抗癌活性。因此,开发一种合适的方法来检测中药中Bn的含量具有重要意义。在此,我们报道了一种通过上转换纳米粒子(UCNPs)与三维大孔石墨烯(3DG)之间的协同效应,用于灵敏检测根样品中Bn的电化学传感器。使用扫描电子显微镜(SEM)、透射电子显微镜(TEM)和X射线衍射光谱(XRD)对制备的UCNP-3DG复合材料进行了表征。该提出的传感器具有3.8×10 M(S/N = 3)的低检测限。重要的是,所建立的方法具有良好的稳定性和选择性,并且能够成功检测根样品中的Bn。它为Bn的测定提供了一种合适的策略,在中药分析中具有潜在的应用前景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71b1/11551915/01f1eee940ca/d4ra06540a-s1.jpg

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