宁汝曦#, 熊志伟#, 赵樱霞, 胡晓欣, 封亮*, 贾晓斌*. 中药提取物吸湿性的动态二维表征技术及影响因素分析J. 药学学报, 2022,57(6): 1887-1894. doi: 10.16438/j.0513-4870.2021-1277
引用本文: 宁汝曦#, 熊志伟#, 赵樱霞, 胡晓欣, 封亮*, 贾晓斌*. 中药提取物吸湿性的动态二维表征技术及影响因素分析J. 药学学报, 2022,57(6): 1887-1894. doi: 10.16438/j.0513-4870.2021-1277
NING Ru-xi#, XIONG Zhi-wei#, ZHAO Ying-xia, HU Xiao-xin, FENG Liang*, JIA Xiao-bin*. Dynamic two-dimensional characterization technique and influencing factors analysis of the hygroscopicity of Chinese medicine extractsJ. Acta Pharmaceutica Sinica, 2022,57(6): 1887-1894. doi: 10.16438/j.0513-4870.2021-1277
Citation: NING Ru-xi#, XIONG Zhi-wei#, ZHAO Ying-xia, HU Xiao-xin, FENG Liang*, JIA Xiao-bin*. Dynamic two-dimensional characterization technique and influencing factors analysis of the hygroscopicity of Chinese medicine extractsJ. Acta Pharmaceutica Sinica, 2022,57(6): 1887-1894. doi: 10.16438/j.0513-4870.2021-1277

中药提取物吸湿性的动态二维表征技术及影响因素分析

Dynamic two-dimensional characterization technique and influencing factors analysis of the hygroscopicity of Chinese medicine extracts

  • 摘要: 构建中药提取物吸湿性的动态二维表征技术及探究粉体的物料性质对吸湿性的影响。以丹参提取物、枳壳提取物、茯苓提取物与不同比例的可溶性淀粉、无水乳糖、微晶纤维素的药辅混合粉体作为研究对象,在25℃及75%湿度为标准的条件下,测定各粉体的吸湿率-时间动态曲线,并推导出半平衡吸湿时间(t1/2)及平衡吸湿率(F)构成二维评价指标,最后运用主成分分析法(PCA)以及偏最小二乘分析法(PLS)分析各物料性质与吸湿行为的相关性。结果表明,以1/t1/2=0.1 h-1F=15%为中心构建的吸湿性动态二维表征体系可将中药提取物粉体的吸湿行为分为吸湿量大吸湿快、吸湿量大吸湿慢、吸湿量小吸湿快、吸湿量小吸湿慢4类,且吸湿量与D50D90ρbρt呈负相关;吸湿速率与D10D50D90ρbρt呈负相关,与含水量呈正相关。本研究所构建的中药提取物吸湿性动态二维表征指标与中药提取物(CMEs)的物性相匹配,该表征技术具有可行性及科学性,动态多维表征的思路及方法具有较强的推广价值。

     

    Abstract: This study aims to construct a dynamic two-dimensional characterization technique for the hygroscopicity of traditional Chinese medicine extracts and investigate the effect of material properties of powders on hygroscopicity. The dynamic hygroscopicity-time curves of the powders were measured at 25℃ and 75% humidity, and the semi-equilibrium hygroscopicity time (t1/2) and equilibrium hygroscopicity (F) were derived as two-dimensional evaluation indicators. Finally, the correlation between the material properties and the hygroscopic behavior was analyzed by principal component analysis (PCA) and partial least squares analysis (PLS). The results showed that the dynamic two-dimensional characterization system of hygroscopicity constructed with 1/t1/2=0.1 h-1 and F=15% as the center can classify the hygroscopic behavior of traditional Chinese medicine extracts into four categories:fast hygroscopicity with strong hygroscopicity, slow hygroscopicity with strong hygroscopicity, fast hygroscopicity with weak hygroscopicity and slow hygroscopicity with weak hygroscopicity. The moisture absorption was negatively correlated with D50, D90, ρb and ρt; the moisture absorption rate was negatively correlated with D10, D50, D90,ρb, ρt, and positively correlated with moisture content. The hygroscopicity dynamic two-dimensional characterization indicators of Chinese medicine extracts (CMEs) constructed in this study matched with the physical properties. The method of dynamic multi-dimensional characterization technology is feasible and scientific, and the idea has strong promotional value.

     

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