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作 者:熊明华 方少敏[2] 饶毅[3] 王信[2] 刘安[4] 田紫平
机构地区:[1]江西省宜春市人民医院,江西宜春336000 [2]江西中医学院,南昌330004 [3]中药固体制剂制造技术国家工程研究中心,南昌330006 [4]中国中医科学院中药研究所,北京100700 [5]贵州益佰制药股份有限公司,贵阳550008
出 处:《中国实验方剂学杂志》2011年第21期52-56,共5页Chinese Journal of Experimental Traditional Medical Formulae
基 金:"重大新药创制"科技重大专项(2009ZX09313-030)
摘 要:目的:基于近红外光谱(NIRS)技术的,建立白芍提取过程的快速质量控制方法。方法:针对白芍提取过程,以HPLC测定提取液样品中芍药苷含量,同时采集其NIRS,采用偏最小二乘(PLS)回归法建立NIRS与HPLC分析值之间多元校正模型。结果:校正模型的内部交叉验证决定系数R2为99.86,内部交叉验证均方差RMSECV为0.023 9。对提取过程中的白芍样本进行预测,结果令人满意。结论:NIRS可准确预测白芍提取过程中芍药苷含量,可推广运用于中药提取过程的快速、实时质量监控。Objective:To set up a novel method for fast quality control of Paeoniae Alba's extracting process based on near infrared spectroscopy(NIRS).Method: Aiming at the process of extracting,the content of paeoniflorin was determined by HPLC as the reference values,and the NIRS data were collected,and then partial least square(PLS) regression was applied to build the calibration model of paeoniflorin.Result: RMSECV of the model for paeoniflorin was 0.023 9,the correlation coefficient of the prediction samples between the predictive value and the real value was 99.86.The calibration model was used for testing samples,and the results were satisfied.Conclusion: NIRS can accurately determine the content of paeoniflorin,and indicates potential to be widely used in the extracting process of traditional Chinese medicine.
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