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声光可调-近红外光谱技术用于丹参回流提取过程中丹参酮ⅡA含量的测定 被引量:11

AOTF-Near Infrared Spectroscopy for Determining Tanshinone ⅡA in Returning Extraction Process of Salvia miltiorrhiza
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摘要 目的:探索用声光可调(AOTF)-近红外光谱(NIRS)技术在线测定丹参提取过程中丹参酮ⅡA含量的方法。方法:收集丹参提取过程中的样品溶液,以HPLC测定其中丹参酮ⅡA的含量,运用偏最小二乘法(PLS1)建立NIRS预测值与HPLC分析值之间的校正模型,对未知样品进行含量预测来验证所建模型。结果:建立的定量模型准确性较好,丹参酮ⅡA的内部交叉验证均方差为RMSECV=0.0092,决定系数是R2=0.9918,校正模型对验证集样品的验证结果为相对误差5.74%。结论:AOTF-NIRS法测定丹参提取过程中丹参酮ⅡA含量,方法快速、无损、预测结果较好,为中药提取过程分析及在线质量控制奠定了基础。 Objective : To explore a method on-line determining the contents of tanshinone Ⅱ A in returning extraction process of Salvia miltiorrhiza by AOTF-Near infrared spectroscopy. Methods : Firstly, the sample was collected in the extraction process of Salvia miltiorrhiza. Then HPLC was used as a reference method to determine the contents of tanshinone Ⅱ A in the sample. Multivariate calibration models based on PLS1 algorithm were developed to correlate the spectra and the corresponding values determined by the reference methods. Results : RMSECV of the models for tanshinone Ⅱ A was 0. 0092. The correlation coefficients of the calibration models was 0. 9918. External validation with external validation samples proved that the relative deviation was 5.74%. Conclusions : AOTF- NIRS can be used in the determination of tanshinone Ⅱ A in returning extraction process of Salvia miltiorrhiza. The method is rapid, accurate and non-destructive, and can be applied for process analysis and quality control of Chinese medicine manufacturing process.
出处 《中药材》 CAS CSCD 北大核心 2009年第1期118-121,共4页 Journal of Chinese Medicinal Materials
基金 山东省教育厅科研资助项目(J07YD12)
关键词 声光可调滤光器 近红外光谱技术 丹参 提取 丹参酮ⅡA 偏最小二乘法(PLS1) Acousto-optic tunable filter Near-infrared spectroscopy Salvia miltiorrhiza Bunge. Extraction Tanshinone Ⅱ A PLS1 algorithm
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