声光可调-近红外漫反射光谱法快速评价满山红药材质量

目的建立一种快速评价满山红药材质量的方法。方法按中国药典2015年版满山红项下方法,对满山红药材水分、总灰分、酸不溶灰分及杜鹃素含量进行测定(作参考值);采用The Unscrambler分析软件,以偏最小二乘法和交叉-验证法建立满山红药材中水分、总灰分、酸不溶灰分及杜鹃素的定量校正模型(作预测值)。结果药材样品中水分、总灰分、酸不溶灰分及杜鹃素定量模型交叉验证相关系数分别为0.928 6,0.918 5,0.957 6,0.928 9;校正均方根偏差(RMSEC)分别为0.087 5,0.144 7,0.012 8,0.003 2;预测均方根偏差(RMSEP)分别为0.305 5,0.232 1,0.016 0,0.004 9;外部验证偏差分别为1.01%,1.46%,2.65%,3.64%。结论该方法快速、准确、简便、无污染,可用于满山红药材质量的快速评价。

Rapid Evaluation of the Quality of Rhododendri Daurici Folium by AOTF-NIR

OBJECTIVE To establish a rapid method for the quality evaluation of Rhododendri Daurici Folium. METHODS The contents of moisture, total ash, acid insoluble ash and farrerol were measured with the 2015 edition of Chinese Pharmacopoeia(as a reference). The herbs were analyzed by The Unscrambler program. Quantitative analytical models invoking the partial least square and the cross-validation algorithm simultaneously predicted the contents of four major indexes (as a prediction). RESULTS The Cross-validation correlation coefficient of moisture, total ash, acid insoluble ash and farrerol were 0.928 6, 0.918 5, 0.957 6 and 0.928 9. Root Mean Square Error of Calibration(RMSEC) of the correction set were 0.087 5, 0.144 7, 0.012 8 and 0.003 2, and the root mean square error of prediction(RMSEP) were 0.305 5, 0.232 1, 0.016 0 and 0.004 9; The external validation deviations were 1.01%, 1.46%, 2.65% and 3.64%. CONCLUSION The method is rapid, accurate, simple and pollution-free, and can be used for rapid evaluation of the quality of Rhododendri Daurici Folium.