Zhang Jingbo, Chen Quancheng, Gao Xuemin, Suo Ziqin, Wu Di, Zhou Yunxian, Zeng Yingying, Li Yanping, Che Yanyun, Chen Qing
Fujian Provincial Key Laboratory of Innovative Drug Target Research, School of Pharmaceutical Sciences, Xiamen University, Xiamen, 361102, China.
Department of Pharmacy, the First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361000, China.
Anal Methods. 2025 May 1;17(17):3436-3445. doi: 10.1039/d5ay00226e.
Quantitative analysis of artemisinin (ART) in decoction samples is crucial for the quality assessment of samples; however, no comprehensive solution currently exists for its rapid and sensitive quantification. This gap necessitates a novel method that accommodates the complex composition of traditional Chinese medicine samples. In this study, we developed an electrochemical sensor suitable for determining the ART content level in . By introducing MIP-MOF composites, the sensor was endowed with selectivity based on spatial and electronic structures specific to particular molecules. This sensor, which mimics the pharmacological activation process of ART, could swiftly and selectively measure ART concentrations, thereby providing a reflection of the efficacy of the samples. The sensors' limit of detection and limit of quantification were determined to be 1.738 × 10 M and 4.764 × 10 M, respectively. Methodology validation confirmed the great selectivity and accuracy of the sensor. Tests conducted across various decoction samples, including those from online and offline sources, as well as deteriorated samples, yielded results consistent with the expected ART content levels, demonstrating the sensor's potential for application in sample quality assessment.
对汤剂样品中的青蒿素(ART)进行定量分析对于样品的质量评估至关重要;然而,目前尚无针对其快速灵敏定量的全面解决方案。这一差距需要一种能够适应中药样品复杂成分的新方法。在本研究中,我们开发了一种适用于测定[具体内容缺失]中ART含量水平的电化学传感器。通过引入MIP-MOF复合材料,该传感器基于特定分子的空间和电子结构而具有选择性。这种模拟ART药理激活过程的传感器能够快速、选择性地测量ART浓度,从而反映样品的功效。该传感器的检测限和定量限分别确定为1.738×10⁻⁹ M和4.764×10⁻⁹ M。方法学验证证实了该传感器具有很高的选择性和准确性。对包括线上和线下来源的各种汤剂样品以及变质样品进行的测试,所得结果与预期的ART含量水平一致,证明了该传感器在样品质量评估中的应用潜力。