冰片的近红外光谱法检测

红外光谱技术能够反映样品的综合信息 ,易于在线应用 ,所以若将该技术应用于中成药生产的在线质量监控 ,可以提高中成药的质量控制标准 ,加快中药现代化的进程。冰片作为常用的中药 ,是多种中成药的有效成分之一。文章对冰片在近红外区域的光谱特性进行了实验研究。通过测量 ,得到了冰片在近红外的特征吸收波段。在建模实验中通过建立偏最小二乘法 (PLS)校正模型得到了理想的实验结果 ,2 5个样品冰片含量的预测值和标称值间有良好的线性关系 ,预测标准偏差为 0 2 8mg·mL-1 。实验结果表明红外光谱技术可以用于中成药有效成分的检测和中成药质量控制的研究

Measurement of Borneol Based on Near Infrared Spectroscopy

Infrared spectroscopy can provide integrated information of samples, and is easy to be applied to on-line control. So quality control specification of Chinese drugs can be improved by utilizing this method for the production of Chinese drugs. This method can accelerate the modernization process of Chinese drugs. Borneol is an effective constituent in lots of active Chinese drugs. The spectral characteristics of borneol in near infrared region were investigated in this paper. The characteristic absorption peaks of bomeol were found by measuring its spectra in near infrared band. There are five absorption peaks of borneol close to 4828, 5003, 5736, 7044 and 8387 cm(-1), respectively. Establishing a partial least square (PLS) model can get optimal results in model building experiment. The predictive results show that the linear relationship between twenty-five samples' predicted values and real values is good with regard to the content of borneol. In calibration model, the root mean square error of prediction (RMSEP) of the content of borneol is 0.28 mg x mL(-1) and the number of the principal components is equal to two. The experimental results show that infrared spectroscopy can be used as a means in the field of quality control of Chinese drugs and the measurement of effective constituents of Chinese drugs.