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首页> 外文期刊>Journal of near infrared spectroscopy >A combination of near infrared and mid-infrared spectroscopy to improve the determination efficiency of active components in Radix Astragali
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A combination of near infrared and mid-infrared spectroscopy to improve the determination efficiency of active components in Radix Astragali

机译:近红外和中红外光谱的组合,提高了Astragali radix Astagali中活性成分的测定效率

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摘要

Radix Astragali is a popular herbal medicine in the pharmaceutical industry, and many studies have confirmed its significant medical value. The objective of this study was to achieve rapid determination of the main active components (astragaloside IV and total astragalosides) in Radix Astragali using near infrared spectroscopy, mid-infrared spectroscopy, and a combination of them. Partial least squares regression was applied to establish quantitative calibration analysis models. According to the prediction results, the combined near infrared and mid-infrared spectroscopy performed better than near infrared and mid-infrared models individually. The determination coefficient and root mean square error of prediction of astragaloside IV and total astragalosides were 0.998, 0.025 and 0.998, 0.098, respectively. It can be concluded that quantitative analysis models constructed by combined near infrared and mid-infrared spectroscopy had superior performance and could be used for rapid determination of main active components in Radix Astragali.
机译:Astragali addix Astragali是制药行业的一种受欢迎的草药,许多研究证实了其重要的医疗价值。本研究的目的是利用近红外光谱,中红外光谱和它们的组合来实现Radix Astragali中的主要活性成分(Astragaloside IV和Total Astragalosides)的快速测定。局部最小二乘回归应用于建立定量校准分析模型。根据预测结果,组合的近红外线和中红外光谱比单独地表现优于近红外和中红外模型。黄芪IV预测和总黄芪苷的测定系数和均方误差分别为0.998,0.025和0.998,0.098。可以得出结论,通过组合的近红外线和中红外光谱构成的定量分析模型具有卓越的性能,可用于快速测定黄芪的主要活性成分。

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