目的 基于数字化指纹图谱、多指标成分含量测定整合策略，对不同产地板蓝根Isatidis Radix品质进行评价。方法 采用UPLC方法建立不同产地板蓝根数字化指纹图谱，通过N强峰、共有峰等筛选及模糊化处理，提取得到板蓝根特征指纹谱。测定各产地板蓝根中尿苷、鸟苷、(R,S)-告依春、腺苷等指标成分含量。在此基础上，以板蓝根特征指纹参数与各指标成分含量占比进行整合分析，探究板蓝根特征指纹总差异率影响因素。结果 以(R,S)-告依春为内参计算各样本色谱峰相对保留时间和相对峰面积，建立了21个产地板蓝根UPLC数字化指纹图谱。通过各样本色谱峰峰面积占比和（＞70%），筛选得到各样本13个N强峰，并在共有峰频次（＞15）基础上，得到含有34个特征峰的板蓝根特征指纹谱；不同产地板蓝根特征指纹重叠率、检出率多在80%～90%，相比之下，板蓝根特征指纹总差异率变化更为显著（33%～111%）。含量测定结果表明，不同产地板蓝根中尿苷、鸟苷、(R,S)-告依春、腺苷等指标成分含量存在较大差异。将不同产地板蓝根特征指纹参数与其指标成分含量占比组成进行整合可视化分析，结果表明，尿苷、鸟苷、腺苷与各样本特征指纹总差异率呈现二级聚类相关性，与(R,S)-告依春占比及指标成分总含量呈现三级聚类相关性，上述指标成分占比过高或过低均会导致板蓝根样本总差异率升高。结论 建立的基于数字化指纹图谱整合多指标含量测定方法，能够有效地发现不同产地板蓝根特征指纹差异率原因，为不同产地板蓝根品质评价提供了方法参考。

Objective To assess the quality variation of Banlangen (Isatidis Radix) from different origins using an integrated strategy of digital fingerprinting and multi-index component content determination.Methods An ultra-performance liquid chromatography (UPLC) method was employed to establish digital fingerprints of Isatidis Radix from 21 different origins. N-strong peaks and common peaks were screened and fuzzified to extract the characteristic fingerprint spectrum of Isatidis Radix. Contents of uridine, guanosine, (R, S)-goitrin, and adenosine were quantitatively analyzed using the same UPLC method. Based on this, the integration analysis of characteristic fingerprint parameters and the proportion of index component contents was conducted to explore the influencing factors of the total difference rate of the characteristic fingerprint spectrum.Results Relative retention times and peak areas of all samples were calculated using (R, S)-goitrin as an internal reference to establish UPLC digital fingerprints. A characteristic fingerprint spectrum comprising 34 peaks was obtained by screening N-strong peaks with peak area ratios greater than 70% and common peaks present in over 15 samples. The overlapping and detection rates of characteristic fingerprints among different origins ranged mostly from 80% to 90%, whereas the total difference rate varied significantly, from 33% to 111%. Content determination indicated substantial differences in uridine, guanosine, (R, S)-goitrin, and adenosine among Isatidis Radix from different origins. Integrated visualization analysis of characteristic fingerprint parameters and the composition of index component contents showed a secondary clustering correlation between uridine, guanosine, adenosine, and the total difference rate, as well as a tertiary clustering correlation with the proportion of (R, S)-goitrin and total index component content. Excessively high or low proportions of these components led to increased total difference rates in the Isatidis Radix samples.Conclusion This integrated approach effectively explains the variations in characteristic fingerprints among different origins of Isatidis Radix, offering a robust method for quality evaluation and ensuring the stability and controllability of its preparations.

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