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近红外光谱法在中药辅料质量控制中的应用
引用本文:聂黎行,王钢力,李志猛,林瑞超. 近红外光谱法在中药辅料质量控制中的应用[J]. 中国中药杂志, 2009, 34(17): 14-17
作者姓名:聂黎行  王钢力  李志猛  林瑞超
作者单位:中国药品生物制品检定所, 北京 100050;中国药品生物制品检定所, 北京 100050;北京同仁堂股份有限公司, 北京 100051;中国药品生物制品检定所, 北京 100050
基金项目:北京市科学技术委员会项目(D0205004040721)
摘    要:目的:采用近红外光谱法控制中药辅料质量。方法:分别采用新型积分球透反射附件和透射附件采集炼蜜和黄酒的近红外光谱,结合偏最小二乘回归算法建立了还原糖和乙醇的含量测定方法。结果:还原糖和乙醇校正模型的相关系数、校正集均方差和验证集均方差分别为0.959 3,1.00%,1.19%和0.952 9,0.174%,0.238%。结论:所建方法快速、无损、简便,结果准确可靠,可推广用于工业现场的原位检测。

关 键 词:近红外光谱法;中药辅料;炼蜜;黄酒
收稿时间:2009-03-25

Application of near infrared spectroscopy in quality control of excipients of traditional Chinese medicine
NIE Lixing,WANG Gangli,Li Zhimeng and LIN Ruichao. Application of near infrared spectroscopy in quality control of excipients of traditional Chinese medicine[J]. China Journal of Chinese Materia Medica, 2009, 34(17): 14-17
Authors:NIE Lixing  WANG Gangli  Li Zhimeng  LIN Ruichao
Abstract:Objective: Near infrared spectroscopy was applied for quality control of excipients of traditional Chinese medicine (TCM). Method: A new type of transmittance and reflectance integration sphere accessory and a transmittance accessory were used to collect the spectra of processed honey and rice wine, respectively. Determination method of reducing sugar and ethanol in processed honey were established with partial least squares (PLS). Result: The correlation coefficients (r), the root mean square error of calibration (RMSEC) and the root mean square error of prediction (RMSEP) of the proposed models were 0.959 3, 1.00% and 1.19% for reducing sugar; 0.952 9, 0.17% and 0.24% for ethanol. Conclusion: The proposed method was fast, non-destructive, simple and accurate, and could be applied to at-spot detection,
Keywords:near infrared (NIR) spectroscopy   excipients of traditional Chinese medicine   processed honey   rice wine
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