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Rapidly Simultaneous Determination of Six Effective Components in Cistanche tubulosa by Near Infrared Spectroscopy

机译:近红外光谱法快速同时测定小花肉Ci蓉中的六种有效成分

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Quantitative determination of multiple effective components in a given plant usually requires a very large amount of authentic natural products. In this study, we proposed a rapid and non-destructive method for the simultaneous determination of echinacoside, verbascoside, mannitol, sucrose, glucose and fructose in Cistanche tubulosa by near infrared spectroscopy (NIRS). Near infrared diffuse reflectance spectroscopy (DRS) and high performance liquid chromatography (HPLC) were conducted on 116 batches of C. tubulosa samples. The DRS data were processed using standard normal variety (SNV) and multiplicative scatter correction (MSC) methods. Partial least squares regression (PLSR) was utilized to build calibration models for components-of-interest in C. tubulosa. All models were then assessed by calculating the root mean square error of calibration (RMSEC), correlation coefficient of calibration (r). The r values of all six calibration models were determined to be greater than 0.94, suggesting each model is reliable. Therefore, the quantitative NIR models reported in this study can be qualified to accurately quantify the contents of six medicinal components in C. tubulosa.
机译:给定植物中多种有效成分的定量测定通常需要非常大量的地道天然产物。在这项研究中,我们提出了一种快速,无损的方法,通过近红外光谱法(NIRS)同时测定肉tub蓉中的紫锥花苷,马齿bas苷,甘露醇,蔗糖,葡萄糖和果糖。对116批次的小管念珠菌样品进行了近红外漫反射光谱法(DRS)和高效液相色谱法(HPLC)。使用标准正常品种(SNV)和乘法散射校正(MSC)方法处理DRS数据。利用偏最小二乘回归(PLSR)来建立小花隐孢子虫相关成分的校准模型。然后通过计算校准的均方根误差(RMSEC),校准的相关系数(r)评估所有模型。确定所有六个校准模型的r值均大于0.94,表明每个模型都是可靠的。因此,本研究报告的定量NIR模型可以用来准确定量小管念珠菌中6种药用成分的含量。

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