近红外光谱法在中药生产过程分析中的应用  

Application of Near Infrared Spectroscopy in Process Analysis of TCM Manufacturing

作　　者：聂黎行[1] 王钢力[1] 李志猛[2] 林瑞超[1] 

机构地区：[1]中国药品生物制品检定所,北京100050 [2]北京同仁堂股份有限公司,北京100051

出　　处：《光学学报》2009年第2期541-547,共7页Acta Optica Sinica

基　　金：北京市科技计划项目(D0205004040721)

摘　　要：应用近红外光谱结合不同化学计量学方法对同仁乌鸡白凤丸原料、辅料、半成品、制剂进行定性和定量分析。建立原料药材的近红外标准光谱库,利用质量控制(QC)比较检索方法鉴别未知样品。采用主成分分析-马式距离法鉴别乌鸡。建立半成品标准光谱库,用相似度匹配算法筛查阴性(缺味)半成品。采用偏最小二乘法对主要原辅料、半成品和制剂进行了定量分析。采用近红外混合过程分析仪结合移动块标准偏差法在线判断同仁乌鸡白凤丸半成品混合终点。所建立的定性分析模型能够对样品做出准确的分类;定量分析方法结果准确可靠。方法准确、可靠、快速、简便、环保,可通过在线或旁线方式用于工业现场的原位检测。Qualitative and quantitative methods for analysis of raw materials of Tongren Wuji Baifeng Wan were developed by near infrared spectroscopy（MRS） in combination with several chemometrics methods. Standard NIR spectral libraries of raw materials were constructed, based on which the unknown materials were verified by quality control（QC） comparison search. Discriminant analysis based on principle component analysis （PCA） and Mahalanobis distance was used in identification of pullus cure Osse Nigko. The spectra of semi-products were used as the standard database for negative semi-product screening by similarity match. Calibration models for assay of main raw materials, excipients, semi-product and finished product were built by partial least squares （PLS） regression , respectively. A revolutionary miniature NIR blend analyzer was used for on-line endpoint prediction in blending process of semiproduct based on moving window standard deviation. It is proved that the qualitative methods can distinguish samples accurately while the quantitative methods were precise and reliable. The proposed methods are fast, simple and environmental-friendly, and can be applied to at-spot detection in industrial field by at-line or on-line control.

关 键 词：光谱学 近红外 过程分析 原位检测 混合终点 同仁乌鸡白凤丸 

分 类 号：TH744[机械工程—光学工程]