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Quantitative Analysis of Salidroside and p -Tyrosol in the Traditional Tibetan Medicine Rhodiola crenulata by Fourier Transform Near-Infrared Spectroscopy

机译:傅里叶变换近红外光谱法定量分析藏药红景天中红景天苷和对-酪醇的含量

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A nondestructive, efficient, and rapid method for quantitative analysis of two bioactive components (salidroside and p -tyrosol) in Rhodiola crenulata , a traditional Tibetan medicine, by Fourier transform near-infrared (FT-NIR) spectroscopy was developed. Near-infrared diffuse reflectance spectra in the range of 4000 to 10000?cm?1 of 50 samples of Rhodiola crenulata with different sources were measured. To get a satisfying result, partial least squares regression (PLSR) was used to establish NIR models for salidroside and p -tyrosol content determination. Different preprocessing methods, including smoothing, taking a second derivative, standard normal variate (SNV) transformation, and multiplicative scatter correction (MSC), were investigated to improve the model accuracy of PLSR. The performance of the two final models (salidroside model and p -tyrosol model) was evaluated by factors such as the values of correlation coefficient ( R 2), root mean square error of prediction (RMSEP), and root mean square error of calibration (RMSEC). The optimal results of the PLSR model of salidroside showed that R 2, RMSEP and RMSEC were 0.99572, 0.0294 and 0.0309, respectively. Meanwhile, in the optimization model of p -tyrosol, the R 2, RMSEP and RMSEC were 0.99714, 0.0154 and 0.0168, respectively. These results demonstrate that FT-NIR spectroscopy not only provides a precise, rapid method for quantitative analysis of major effective constituents in Rhodiola crenulata , but can also be applied to the quality control of Rhodiola crenulata .
机译:建立了一种无损,高效,快速的傅立叶变换近红外光谱法,定量分析藏药藏药红景天中两种生物活性成分(水杨苷和对-酪醇)的方法。在不同来源的50个红景天样品中,测量了4000到10000?cm ?1 范围内的近红外漫反射光谱。为了获得满意的结果,使用偏最小二乘回归(PLSR)建立了红景天苷和对-酪醇含量测定的NIR模型。为了提高PLSR的模型准确性,研究了不同的预处理方法,包括平滑处理,采用二阶导数,标准正态变量(SNV)转换和乘法散射校正(MSC)。通过相关系数(R 2 )的值,预​​测的均方根误差(RMSEP)和因素来评估两个最终模型(水杨糖苷模型和p-酪醇模型)的性能。校准的均方根误差(RMSEC)。红景天苷PLSR模型的最佳结果表明,R 2 ,RMSEP和RMSEC分别为0.99572、0.0294和0.0309。同时,在对酪醇最优化模型中,R 2 ,RMSEP和RMSEC分别为0.99714、0.0154和0.0168。这些结果表明,FT-NIR光谱不仅提供了一种精确,快速的定量方法来定量分析景天红景天主要有效成分的方法,而且还可以应用于景天红景天的质量控制。

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