目的 研究山楂叶不同提取部位指纹图谱与其降低血瘀大鼠全血黏度的相关性，为建立指纹图谱与药效关联的中药质量控制模式提供理论依据和数据支持。方法 采用高效液相色谱法建立山楂叶不同提取部位的指纹图谱；采用MATLAB软件的逐步后退分析方法，计算指纹图谱共有峰（X）与全血黏度药效值（Y）的多元线性回归方程。结果 指纹图谱共有峰有32个，其中X₉、X₁₀、X₁₁、X₁₃、X₁₄、X₁₅、X₁₇、X₁₉、X₂₇、X₂₉和Y具有相关性，组成功效成分组；X₁₀、X₁₁、X₁₃、X₁₉、X₂₉与Y呈负相关，有可能是活性单体成分，其中X₁₄为牡荆素葡萄糖苷，X₁₇为牡荆素，X₁₉为芦丁。结论 利用MATLAB统计软件计算得到的多元回归方程具有统计学意义，为进一步研究山楂叶提取物的活性成分提供理论依据。

Objective To study the correlation between the fingerprints of different extracts of Crataegi Folium and reducing the blood viscosity of blood stasis rats, and to provide a theoretical basis and data support for the establishment of the quality control model of traditional Chinese medicine, which is "Fingerprints are associated with efficacy". Methods Fingerprints of different extracts of Crataegi Folium were established by high performance liquid phase method. The multivariate linear regression equation of common peak X and whole blood viscosity Y was calculated by stepwise regression analysis of MATLAB software. Results There were 32 common peaks in the fingerprints, X₉, X₁₀, X₁₁, X₁₃, X₁₄, X₁₅, X₁₇, X₁₉, X₂₇, and X₂₉ related to the whole blood viscosity Y compose functional composition groups. X₁₀, X₁₁, X₁₃, X₁₉, X₂₉ negatively correlated with Y, which may be active monomer components, among which X₁₄ is vitexin glucoside, X₁₇ is Vitexin, and X₁₉ is rutin. Conclusion The multiple regression equation calculated by MATLAB statistical software in this study has significance in statistics, which can provide a scientific basis for further study of the active components of Crataegi Folium extract.

河北省高等学校科学技术研究重点项目（ZD2015097）；河北省高校省级重点学科建设项目资助（冀教高[2013]4号）；河北省中医药管理局课题（2017216）；承德市科学技术研究与发展计划项目（201606A016）；河北省高校学校科学技术研究项目（QN2017005）