Niu Kejing, Ye Mengyu, Lyu Yun, Cheng Wenqian, He Shaoqing, Liu Dan, Yu Huijuan
State Key Laboratory of Chinese Medicine Modernization, Tianjin University of Traditional Chinese Medicine Tianjin 301617 China
Xi'an Buchang TCM Cardiovascular and Cerebrovascular Hospital Xi'an Shaanxi 710082 China.
RSC Adv. 2025 Jul 1;15(28):22460-22468. doi: 10.1039/d5ra04079e. eCollection 2025 Jun 30.
To facilitate efficient and rapid quality evaluation of traditional Chinese medicine (TCM) preparations, we introduced an innovative macrocycle-based fluorescence sensing strategy. Herein, an array of calixarene-based sensors was designed to assess the batch-to-batch consistency and precise feeding of raw materials of Yinxing Mihuan oral solution (YMOS), which is used to treat cardiovascular and cerebrovascular diseases in the clinic, highlighting the feasibility of the established supramolecular fluorescence sensing method. Using indicator displacement assay (IDA), the molecular recognition between calixarenes and the tested compounds from YMOS was converted into multi-fluorescence signals by extruding the indicators from their respective hosts, whose mechanisms were unveiled by theoretical calculations. By employing the constructed three-element sensor array, a standard fluorescent fingerprint was displayed by "spider-web" mode to evaluate the quality consistency of the YMOS samples. Moreover, the optimized QAC5A·EY reporter pair was successfully applied to guarantee precise feeding of raw materials during the manufacturing process of YMOS. The calixarene-based sensor array method offers a comprehensive evaluation for YMOS in a facile and high-throughput style, conducive to improving quality evaluation of TCM.
为促进对中药制剂进行高效快速的质量评估,我们引入了一种基于大环的创新荧光传感策略。在此,设计了一系列基于杯芳烃的传感器,以评估用于临床治疗心脑血管疾病的银杏蜜环口服溶液(YMOS)的批次间一致性和原料的精确投料,突出了所建立的超分子荧光传感方法的可行性。利用指示剂置换分析法(IDA),通过将指示剂从各自的主体中挤出,杯芳烃与YMOS中被测化合物之间的分子识别被转化为多荧光信号,其作用机制通过理论计算得以揭示。通过使用构建的三元素传感器阵列,以“蜘蛛网”模式展示标准荧光指纹图谱,以评估YMOS样品的质量一致性。此外,优化后的QAC5A·EY报告基团对成功应用于保证YMOS生产过程中原料的精确投料。基于杯芳烃的传感器阵列方法以简便且高通量的方式对YMOS进行全面评估,有助于提高中药的质量评估水平。