摘要
提出光纤近红外光谱技术在线和快速检测中药甘草中有效成分甘草酸含量的方法.对含甘草酸浓度在0.94%～3.06%内的甘草,根据其在10 000～4 000 cm-1的近红外吸收光谱,采用偏最小二乘算法(PLS)和主成分回归算法(PCR)建立了校正模型,比较了光谱不同前处理方法对校正结果的影响,当采用数据标准化并求一阶导前处理时可较好提取中药复杂体系的信息.当采用PLS算法时,校正集相关系数为0.958,校正集标准偏差(SEC)为0.179,验证集标准偏差(SEP)为0.197,PLS算法优于PCR算法.该方法快速和简便,适合于中药有效成分在线监控.
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.
出处
《光谱学与光谱分析》
SCIE
EI
CAS
CSCD
北大核心
2005年第9期1397-1399,共3页
Spectroscopy and Spectral Analysis
基金
福建省中药质量标准重点项目(2000F001)资助
关键词
甘草酸
光纤近红外
PLS
Glycyrrhizic acid
Fiber optic near infrared spectroscopy
PLS
