| 痰热清注射液质量关键影响因素辨识方法初探 |
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| 引用本文： | 李文龙,潘建超,薛东升,刘绍勇,瞿海斌.痰热清注射液质量关键影响因素辨识方法初探[J].中国中药杂志,2017,42(6):1062-1066. |
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| 作者姓名： | 李文龙 潘建超 薛东升 刘绍勇 瞿海斌 |
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| 作者单位： | 浙江大学 药学院 药物信息学研究所, 浙江 杭州 310058,上海凯宝药业股份有限公司, 上海 201401,上海凯宝药业股份有限公司, 上海 201401,上海凯宝药业股份有限公司, 上海 201401,浙江大学 药学院 药物信息学研究所, 浙江 杭州 310058 |
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| 基金项目： | 国家中药标准化项目（ZYBZH-C-SH-48） |
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| 摘 要： | 为辨识痰热清注射液配液过程中影响最终产品质量的关键因素,采集了24个实际生产批次中5种中药提取物的近红外漫反射光谱,记录了配液过程中的31个操作参数,作为自变量;记录最终产品的总含固量和灯检合格率,作为因变量。采用偏最小二乘回归方法建立了定量校正模型,得到自变量和因变量之间的相关系数。所得总含固量和灯检合格率定量校正模型的校正相关系数分别为0.911 9,0.873 8,交叉验证的相关系数分别为0.724 2,0.795 0。根据相关系数筛选出4个与总含固量相关性较强的因素,8个与灯检合格率相关性较强的因素,并结合生产经验,对这些因素的实际意义进行了分析。该文所建方法对配液过程中影响痰热清注射液最终产品的因素进行了初步辨识,结果合理,可推广应用于解决类似问题。
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| 关 键 词： | 近红外光谱 痰热清注射液 配液过程 影响因素分析 过程分析技术 |
| 收稿时间： | 2017/1/24 0:00:00 |
Primary exploration of key influential factors recognization method of Tanreqing injection |
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| LI Wen-long,PAN Jian-chao,XUE Dong-sheng,LIU Shao-yong and QU Hai-bin.Primary exploration of key influential factors recognization method of Tanreqing injection[J].China Journal of Chinese Materia Medica,2017,42(6):1062-1066. |
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| Authors: | LI Wen-long PAN Jian-chao XUE Dong-sheng LIU Shao-yong and QU Hai-bin |
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| Affiliation: | Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China,Kaibao Pharmacy Co., Ltd., Shanghai 201401, China,Kaibao Pharmacy Co., Ltd., Shanghai 201401, China,Kaibao Pharmacy Co., Ltd., Shanghai 201401, China and Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China |
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| Abstract: | To recognize the key influential factors during the liquid preparation process of Tanreqing injection, the near infrared(NIR) spectra of the raw materials and the operating parameters of 24 batches of physical manufacturing were recorded as independent variables, and the total soluble solids contents and the light inspection acceptance rate of the final products were collected as dependent variables. The calibration models were developed using the partial least-square regression (PLSR) method, and the correlation coefficients between the independent variables and the dependent variables were calculated. For the quantitative models, the correlation coefficients for the calibration and inner cross validation of total soluble solids contents and the light inspection acceptance rate reached 0.911 9, 0.724 2 and 0.873 8, 0.795 9, respectively. Using the correlation coefficients diagrams, several key influence factors were preliminarily determined, and the physical significance were analyzed combined with production experience. This work demonstrated that NIR spectroscopy with PLSR algorithm could be used for the key influential factors recognization during the liquid preparation process of Tanreqing injection and can be popularized to solve similar problems. |
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| Keywords: | near infrared spectroscopy Tanreqing injection liquid preparation process key influential factors recognization process analytical technology |
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