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应用近红外光谱技术探讨了黄芩提取物中黄芩苷含量的快速检测新方法。共收集12个不同厂家的100批黄芩提取物样品,利用Nicolet 6700型傅立叶变换近红外光谱仪采集样品近红外漫反射光谱,通过HPLC法测定黄芩苷含量值,结合偏最小二乘法(PLS)建立黄芩苷含量的近红外定量校正模型,并通过筛选合适的光谱预处理方法、建模区间和主成分数获得最优模型。所建最优校正模型的相关系数(R2)、校正均方差(RMSEC)和内部交叉验证均方差(RMSECV)分别为0.995、0.440和2.259;经外部验证,模型的预测相关系数(r2)、预测均方差(RMSEP)和平均回收率分别为0.988、0.486和100.190%。结果表明,该方法可用于不同厂家黄芩提取物中黄芩苷含量的直接测定,操作简便,无污染,结果准确可靠,可实现大批量样品的快速分析。
Near infrared spectroscopy was used to explore a new method for the rapid detection of baicalin in Scutellaria baicalensis Georgi. A total of 100 batches of Scutellaria baicalensis extract samples collected from 12 different factories were collected. The samples were collected by Nicolet 6700 Fourier transform near-infrared spectrometer. The content of baicalin was determined by HPLC, and Scutellaria baicalensis Georgi was established by partial least squares (PLS) NIR quantitative calibration model, and through the screening of the appropriate spectral pretreatment methods, modeling intervals and principal components to obtain the optimal model. The correlation coefficient (R2), RMSEC and RMSECV of the optimal calibration model were 0.995, 0.440 and 2.259, respectively. The external correlation coefficient (r2), prediction coefficient Mean square error (RMSEP) and average recovery were 0.988, 0.866 and 100.190%, respectively. The results show that this method can be used for the direct determination of baicalin in Scutellaria baicalensis Georgi from different manufacturers. The method is simple and easy to operate with no pollution and the results are accurate and reliable. The method can be used for rapid analysis of large quantities of samples.