| 近红外光谱分析方法在七叶皂苷钠快速检测中的应用研究 |
| 投稿时间：2020-02-06 修订日期：2020-05-25 点此下载全文 |
| 引用本文：王伯阳,暴铱,李杰,耿铮.近红外光谱分析方法在七叶皂苷钠快速检测中的应用研究[J].药学实践杂志,2020,38(4):364~367 |
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| 中文摘要:目的 利用近红外光谱分析技术建立一种七叶皂苷钠的快检方法，用于注射用七叶皂苷钠药品的含量测定。方法 应用OPUS软件对采集光谱进行优化处理，分别采用PLS算法和因子化算法，建立定量模型和定性模型。结果 定量模型相关系数达到0.9926，交叉验证均方根误差为0.253，在预测试验中，样品的预测值与真实测定值偏差均小于5%，能够准确预测七叶皂苷钠的含量。结论 本研究建立的定性模型可有效区分未参与建模的其他品种样品，为该药品的快检筛查提供参考。 |
| 中文关键词:七叶皂苷钠 近红外 定量模型 定性模型 |
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| Application of near infrared spectroscopy analysis method in rapid detection of sodium aescinate |
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| Abstract:Objective To establish a fast detection method of sodium aescinate by using near infrared (NIR) spectroscopy analysis method for the determination of the content of sodium aescinate for injection.Methods OPUS software was used to optimize the collected spectrum. PLS algorithm and factorization algorithm were used to establish quantitative model and qualitative model.Results The correlation coefficient of the quantitative model reached 0.9926, the RMSECV deviation was 0.253. The deviation between the predicted value of the sample and the true measured value was less than 5%, which could accurately predict the content of sodium aescinate.Conclution The qualitative model can effectively distinguish the samples of other varieties that have not participated in the modeling, and provide a reference for the rapid screening of the drug. |
| keywords:sodium aescinate near-infrared quantitative model qualitative model |
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