| 蜜紫菀水分快速测定方法研究 |
| 投稿时间：2023-09-19 点此下载全文
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| 引用本文：王逸飞,隗立国,王恒岭,朱振宇,杨景柳.蜜紫菀水分快速测定方法研究[J].中国现代中药,2024,26(6):1053-1058 |
| DOI：10.13313/j.issn.1673-4890.20230919001 |
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| 作者中文名 | 作者英文名 | 单位中文名 | 单位英文名 | E-Mail |
| 王逸飞 |
WANG Yi-fei |
北京中医药大学 房山医院 药剂科，北京 102400 |
Pharmacy Department, Fangshan Hospital, Beijing University of Chinese Medicine, Beijing 102400, China |
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| 隗立国 |
WEI Li-guo |
北京中医药大学 房山医院 药剂科，北京 102400 |
Pharmacy Department, Fangshan Hospital, Beijing University of Chinese Medicine, Beijing 102400, China |
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| 王恒岭 |
WANG Heng-ling |
北京中医药大学 房山医院 药剂科，北京 102400 |
Pharmacy Department, Fangshan Hospital, Beijing University of Chinese Medicine, Beijing 102400, China |
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| 朱振宇 |
ZHU Zhen-yu |
北京中医药大学 房山医院 药剂科，北京 102400 |
Pharmacy Department, Fangshan Hospital, Beijing University of Chinese Medicine, Beijing 102400, China |
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| 杨景柳* |
YANG Jing-liu |
北京中医药大学 房山医院 药剂科，北京 102400 |
Pharmacy Department, Fangshan Hospital, Beijing University of Chinese Medicine, Beijing 102400, China |
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| 基金项目:北京药学会中药临床药学课题 |
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| 中文摘要:目的 采用近红外光谱（NIR）技术结合化学计量学构建快速、无损测定蜜紫菀水分的方法，实现其验收及贮藏养护过程中水分的快速、无损测定。方法 采集蜜紫菀的NIR，进行主成分分析和聚类分析，建立蜜紫菀的NIR无监督模型，以验证NIR的灵敏度；以《中华人民共和国药典》2020年版所测得的水分为真实值，NIR经预处理，建立蜜紫菀水分的偏最小二乘法（PLS）模型。结果 NIR无监督模型可对23批蜜紫菀进行有效辨识，所得结果准确可靠；建立的蜜紫菀水分的PLS模型r为0.856 6、校正均方根误差为0.357 4、交叉验证均方根误差为0.427 6、平均相对误差为3.92%、平均回收率为98.9%，表明模型具有较好的预测性。结论 采用NIR可快速测定蜜紫菀中的水分。 |
| 中文关键词:蜜炙 紫菀 水分 近红外光谱 快速检测 |
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| Research on Rapid Determination of Moisture Content in Honey-Processed Asteris Radix et Rhizoma |
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| Abstract:Objective To establish a rapid and non-destructive method for the determination of honey-processed Asteris Radix et Rhizoma by near-infrared (NIR) spectroscopy and chemometrics, so as to realize the rapid and non-destructive determination of moisture content in honey-processed Asteris Radix et Rhizoma.Methods The NIR spectra of honey-processed Asteris Radix et Rhizoma were collected, and principal component analysis (PCA) and systematic cluster analysis (HCA) were performed to establish the NIR unsupervised model of honey-processed Asteris Radix et Rhizoma and to verify the sensitivity of NIR spectra. The moisture content measured by the method in2020 edition of Chinese Pharmacopoeia was the true value, and the partial least squares (PLS) model of the moisture content in honey-processed Asteris Radix et Rhizoma was constructed with the preprocessed NIR spectra.Results A total of 23 batches of honey-processed Asteris Radix et Rhizoma can be effectively identified by the NIR unsupervised model, and the results are accurate and reliable. The established PLS model for moisture content in honey-processed Asteris Radix et Rhizoma has an r of 0.856 6, a root mean square error of calibration of 0.357 4, a root mean square error of cross-validation of 0.427 6, a mean relative error of 3.92%, and an average recovery rate of 98.9%, indicating that the model has good prediction performance.Conclusion NIR spectroscopy can be used to determine the moisture content in honey-processed Asteris Radix et Rhizoma rapidly. |
| keywords:honey-processed Asteris Radix et Rhizoma moisture content NIR spectra rapid detection |
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