将相依成分分析(DCA)算法用于模拟混合组分红外光谱(IR)分析及黄芩炮制过程分析与终点确定。 研究结果表明, DCA法能从黄芩炮制过程测定的IR信号中提取相依组分(DC)信息, 而且这些DC对应的光谱特征信息与对应的黄芩活性组分光谱特征相一致; 通过观测DC相对强度变化趋势, 确定黄芩炮制过程终点为55 min。 该研究为黄芩炮制过程分析与终点确定提供了新途径。

Dependent component analysis (DCA) was applied to directly estimate source spectral profiles from IR spectra of synthetic mixtures and characterize processing batch for preparation of radix scutellariae. The results show that DCA can estimate information of dependent components (DCs) from the measured infrared spectral (IR) signal obtained during the processing batch for preparation of radix scutellariae, and the estimated information of DCs is corresponding to the IR features of the active components of scutelliare; by inspection of the change trends of the estimated DCs, the endpoint of the processing batch was determined as 55 min. The proposed approach provides a novel way for process analysis and endpoint determination of procedure for preparation of scutellariae.