Determination of glycyrrhizic acid in glycyrrhiza uralensis fisch by fiber optic near infrared spectroscopy
LEE Frank S C
- 化学化工－已发表论文 
The objective of this study was to develop a rapid, non-destructive and real-time method for the determination of glycyrrhizic acid in glycyrrhiza uralensis fisch. Near infrared spectra (NIR) in the range of 10 000-4 000 cm(-1) were recorded for the glycyrrhiza uralensis fisch containing glycyrrhizic acid in the content of 0.94 % -3.06 %. Calibration models were established using the PLS (partial least squares) and PCR (principle component regression) algorithm. Different spectra pretreatments methods were compared. The study showed that PLS model gave better results than PCR with the correlation coefficient 0.958, SEC 0.179 (standard deviation of the calibration sets) and SEP 0.197 (standard deviation of the prediction sets). Results indicate that fiber optic NIR method can be used to on-line control the valid component in Chinese herbs.