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近红外光谱快速预测天舒片包衣终点研究
引用本文:夏春燕,徐芳芳,张欣,徐冰,包乐伟,王振中,肖伟.近红外光谱快速预测天舒片包衣终点研究[J].中草药,2019,50(21):5223-5230.
作者姓名:夏春燕  徐芳芳  张欣  徐冰  包乐伟  王振中  肖伟
作者单位:南京中医药大学, 江苏 南京 210023;江苏康缘药业股份有限公司, 江苏 连云港 222001,江苏康缘药业股份有限公司, 江苏 连云港 222001;中药制药过程新技术国家重点实验室, 江苏 连云港 222001;中成药智能制造国家地方联合工程研究中心, 江苏 连云港 222001;中药提取精制新技术重点研究室, 江苏 连云港 222001,江苏康缘药业股份有限公司, 江苏 连云港 222001;中药制药过程新技术国家重点实验室, 江苏 连云港 222001;中成药智能制造国家地方联合工程研究中心, 江苏 连云港 222001;中药提取精制新技术重点研究室, 江苏 连云港 222001,北京中医药大学 中药信息学系, 北京 100029,江苏康缘药业股份有限公司, 江苏 连云港 222001;中药制药过程新技术国家重点实验室, 江苏 连云港 222001;中成药智能制造国家地方联合工程研究中心, 江苏 连云港 222001;中药提取精制新技术重点研究室, 江苏 连云港 222001,江苏康缘药业股份有限公司, 江苏 连云港 222001;中药制药过程新技术国家重点实验室, 江苏 连云港 222001;中成药智能制造国家地方联合工程研究中心, 江苏 连云港 222001;中药提取精制新技术重点研究室, 江苏 连云港 222001,南京中医药大学, 江苏 南京 210023;江苏康缘药业股份有限公司, 江苏 连云港 222001;中药制药过程新技术国家重点实验室, 江苏 连云港 222001;中成药智能制造国家地方联合工程研究中心, 江苏 连云港 222001;中药提取精制新技术重点研究室, 江苏 连云港 222001
基金项目:国家“重大新药创制”科技重大专项“国家工信部智能制造综合标准化与新模式应用项目”(2018ZX09201010)
摘    要:目的应用近红外光谱(NIRS)技术快速预测天舒片薄膜包衣终点。方法首先,采用组合间隔偏最小二乘法(synergy intervalpartialleastsquare,si PLS)优选建模区间,并对预处理方法进行筛选;其次,根据优选的建模条件,基于建立的参考光谱库,采用一致性检验和相似度匹配建立校正模型;随后,通过对比测试光谱与参考光谱间的相似度大小,设定阈值,确定相似度、阈值与包衣终点的关系;最后,采用验证集光谱对模型性能进行验证。结果在包衣过程中,当连续多条测试光谱的相似度超过阈值时,指示为包衣终点。结论一致性检验和相似度匹配模型性能良好,能够敏锐地反映包衣薄膜的均匀性,并准确预测包衣终点。该研究对减小包衣的批间差异性和降低原料损耗,提高中药固体制剂的包衣生产效率和提升质量均一性具有重要意义。

关 键 词:天舒片  近红外光谱技术  包衣  一致性检验  相似度匹配  组合间隔偏最小二乘法  质量均一性
收稿时间:2019/5/20 0:00:00

Study on fast prediction of film coating terminal point of Tianshu Tablets by near-infrared spectroscopy
XIA Chun-yan,XU Fang-fang,ZHANG Xin,XU Bing,BAO Le-wei,WANG Zhen-zhong and XIAO Wei.Study on fast prediction of film coating terminal point of Tianshu Tablets by near-infrared spectroscopy[J].Chinese Traditional and Herbal Drugs,2019,50(21):5223-5230.
Authors:XIA Chun-yan  XU Fang-fang  ZHANG Xin  XU Bing  BAO Le-wei  WANG Zhen-zhong and XIAO Wei
Affiliation:Nanjing University of Chinese Medicine, Nanjing 210023, China;Jiangsu Kanion Pharmaceutical Co., Ltd., Lianyungang 222001, China,Jiangsu Kanion Pharmaceutical Co., Ltd., Lianyungang 222001, China;State Key Laboratory of New-tech for Chinese Medicine Pharmaceutical Process, Lianyungang 222001, China;National & Local Joint Engineering Research Center on Intelligent manufacturing of TCM, Lianyungang 222001, China;Key Laboratory of New Technology for Extraction and Refining of Traditional Chinese Medicine, Lianyungang 222001, China,Jiangsu Kanion Pharmaceutical Co., Ltd., Lianyungang 222001, China;State Key Laboratory of New-tech for Chinese Medicine Pharmaceutical Process, Lianyungang 222001, China;National & Local Joint Engineering Research Center on Intelligent manufacturing of TCM, Lianyungang 222001, China;Key Laboratory of New Technology for Extraction and Refining of Traditional Chinese Medicine, Lianyungang 222001, China,Department of Traditional Chinese Medicine Informatics, Beijing University of Chinese Medicine, Beijing 100029, China,Jiangsu Kanion Pharmaceutical Co., Ltd., Lianyungang 222001, China;State Key Laboratory of New-tech for Chinese Medicine Pharmaceutical Process, Lianyungang 222001, China;National & Local Joint Engineering Research Center on Intelligent manufacturing of TCM, Lianyungang 222001, China;Key Laboratory of New Technology for Extraction and Refining of Traditional Chinese Medicine, Lianyungang 222001, China,Jiangsu Kanion Pharmaceutical Co., Ltd., Lianyungang 222001, China;State Key Laboratory of New-tech for Chinese Medicine Pharmaceutical Process, Lianyungang 222001, China;National & Local Joint Engineering Research Center on Intelligent manufacturing of TCM, Lianyungang 222001, China;Key Laboratory of New Technology for Extraction and Refining of Traditional Chinese Medicine, Lianyungang 222001, China and Nanjing University of Chinese Medicine, Nanjing 210023, China;Jiangsu Kanion Pharmaceutical Co., Ltd., Lianyungang 222001, China;State Key Laboratory of New-tech for Chinese Medicine Pharmaceutical Process, Lianyungang 222001, China;National & Local Joint Engineering Research Center on Intelligent manufacturing of TCM, Lianyungang 222001, China;Key Laboratory of New Technology for Extraction and Refining of Traditional Chinese Medicine, Lianyungang 222001, China
Abstract:Objective To investigate how to rapidly predict coating terminal point in the thin film coating of Tianshu Tablets by near-infrared spectroscopy (NIRS). Methods Firstly, synergy interval partial least square (siPLS) was used to optimize the modeling intervals and the pretreatment methods were screened. Secondly, according to the optimal modeling parameters, the conformity test and similarity matching were used to establish calibration models based on the established reference spectra library. Subsequently, by comparing the similarities between the test spectra and the reference spectra, the threshold value was set. The relation among the similarities, threshold value and the coating end point was obtained. Finally, the performance of the calibration model was verified by the validation set. Results During the coating process, the similarities between the test spectra and the reference spectra were gradually increasing until the similarities of continuous test spectra exceeded the threshold, thus, indicating the end point. Conclusion Conformity test and similarity matching can sensitively monitor the change of similarities among spectra and the corresponding trend. Both models have high performance, which can accurately predict the coating terminal point. It''s of great significance to reduce batch-to-batch variation in film coating and the loss of coating materials, and improve the coating efficiency and the quality uniformity of solid preparation.
Keywords:Tianshu Tablets  near-infrared spectroscopy  film coating  conformity test  similarity matching analysis  synergy interval partial least squares (siPLS)  quality uniformity
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