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Evaluation of a Nondestructive NMR and MRI Method for Monitoring the Drying Process of Gastrodia elata Blume

机译:评价天麻干燥过程的无损NMR和MRI方法的评估

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摘要

Gastrodia elata Blume (G. elata) is a prominent traditional herb and its dry tuber is officially listed in the Chinese Pharmacopoeia. To ensure the quality of dried G. elata, the establishment of a nondestructive and convenient method to monitor the drying process is necessary. In this study, a nondestructive low-field nuclear magnetic resonance (LF-NMR) and magnetic resonance imaging (MRI) method was introduced to monitor the drying process of G. elata. Three water states (bound, immobilized, and free) in G. elata samples were investigated through multiexponential fitting and inversion of the NMR data. The variation and distribution of the three water states during drying were monitored by LF-NMR, and the spatial distribution of water and internal structural changes were analyzed by MRI. Linear analysis of the moisture content, L* (lightness), b* (yellowness), and NMR parameters showed good correlations among them. Furthermore, partial least squares regression (PLSR) model analysis, which takes into account all NMR parameters, also showed good correlations among these parameters. All results showed that LF-NMR was feasible and convenient for monitoring moisture content. Therefore, LF-NMR and MRI could be used to monitor the moisture content nondestructively in the drying process of Chinese traditional herbs.
机译:天麻天蓝(G. elata)是一种著名的传统草药,其干燥块茎被正式列入中国药典。为了确保干燥的G. elata的质量,必须建立一种无损且方便的方法来监测干燥过程。在这项研究中,非破坏性低场核磁共振(LF-NMR)和磁共振成像(MRI)方法被引入,以监测G.elata的干燥过程。通过多指数拟合和NMR数据反演,研究了G. elata样品中的三种水态(结合,固定和游离)。通过LF-NMR监测干燥过程中三种水态的变化和分布,并通过MRI分析水的空间分布和内部结构变化。水分含量,L *(亮度),b *(黄色)和NMR参数的线性分析显示出它们之间的良好相关性。此外,考虑了所有NMR参数的偏最小二乘回归(PLSR)模型分析也显示了这些参数之间的良好相关性。所有结果表明,LF-NMR用于监测水分含量是可行且方便的。因此,LF-NMR和MRI可用于中药干燥过程中的无损监测。

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