近红外透射光谱法快速测定枳壳提取液中柚皮苷和新橙皮苷含量

Rapid Analysis of Naringin and Neohesperidin by Near Infrared Transmittance Spectroscopy in Extract of Aurantii Fructus

目的：采用近红外光谱仪透射光谱技术对枳壳碱性提取液中柚皮苷和新橙皮苷的含量进行检测分析。方法：针对柚皮苷和新橙皮苷两种成分，将44份样品的原始光谱分别经矢量归一化和多元散射校正预处理，选取不同波段：柚皮苷选取3个波段11995．6～7498．2，6101．9～5446．2，4601．5～4246．7cm^-1；新橙皮苷选取11995．6～5446．2，4601．5～4246．7cm^-1两个波段，运用偏最小二乘法（PLS）分别建立定量校正模型并分析。结果：柚皮苷和新橙皮苷校正模型的结果分别为：校正均方差（RMSEC）为0．0247，0．036，模型的决定因子R^2=0．9974，R^2=0．9966，内部交叉验证均方差（RMSECV）为0．07，0．0652，最佳维数均为9。用建立的校正模型对12份提取液样品中的柚皮苷和新橙皮苷进行预测，预测误差均方差（RMSEP）分别为0．0462，0．0827。结论：该方法分析能同时快速检测枳壳提取液中柚皮苷和新橙皮苷的含量，结果准确可靠，对中药提取工艺优化和生产工艺过程的质量控制具有很好的应用前景。

Objective： To develop a novel method for fast analysis of two components naringin and neohesperidin in alkali extraction process of Aurantii Fructus with near infrared transmittance spectroscopy. Method： The calibration model of 44 extraction samples was developed by the spectral data pretreatment of the multiplicative scatter correction （MSC） with the spectral regions 11 995.6-7 498.2, 6 101.9-5 446.2, 4 601.5- 4 246.7 and 11 995.6-5 446.2, 4 601.5-4 246.7 cm^-1 respectively and analyzed the correlation between the spectra and the corresponding values by PLS method. Result ： The RMSEC was 0. 024 7 and 0. 036, respectively. R2 was 0. 997 4 and 0. 996 6. The root mean square error of cross-validation （RMSECV） was 0.07 and 0. 065 2. The best dimension was nine. The naringin and neohesperidin in the 12 samples were evaluated by using the model established. Root mean square errors of prediction （RMSEP） was 0. 046 2, 0. 082 7, respectively. Conclusion： This method is not only rapid, simple, accurate and reliable, but also has great application prospects in the extraction optimization and online monitoring of production process in Chinese herbs.