摘要
提出了用近红外光谱技术快速测定川产中药黄柏中指标成分小檗碱含量的方法。对小檗碱含量在2.155%-8.245%范围的不同来源的黄柏,根据其在12 500-3 600 cm^-1的近红外吸收光谱,采用偏最小二乘算法（PLS）建立了校正模型,比较了光谱不同预处理方法对校正结果的影响。当采用二阶导数处理方法时能最有效地提取光谱的信息,此时校正集相关系数（r2）为0.922 1,校正集标准偏差（SEC）为0.337,预测集标准偏差（SEP）为0.251。该方法快速简便,适合于中药指标成分的快速分析。
The objective of the present study was to develop a method for the determination of berberine in phellodendron chinese schneid from Sichuan using near infrared diffuse reflectance spectroscopy. Near infrared spectra （NIR） in the range of 12 500- 3 600 cm^-1 were recorded for the phellodendron chinese schneid containing berberine in the content of 2. 155%-8. 245% of berberine. Calibration models were established using the PLS （partial least squares）. Different spectra pretreatments methods were compared. The study showed that spectra information can be extracted thoroughly by second derivative pretreatments method with the correlation coefficient（r^2） of 0. 922 1, SEC 0. 337 （standard deviation of the calibration sets） and SEP 0. 251 （standard deviation of the prediction sets）. Results indicated that near infrared diffuse reflectance spectroscopy method can be used to rapidly analyze the valid component in Chinese herbs.
出处
《光谱学与光谱分析》
SCIE
EI
CAS
CSCD
北大核心
2007年第8期1527-1530,共4页
Spectroscopy and Spectral Analysis
基金
国家"十五"科技攻关项目基金(2001BA701A11)资助
关键词
近红外漫反射光谱
黄柏
小檗碱
PLS
Near infrared diffuse reflectance spectroscopyl Phellodendron chinese Schneid~ Berberine~ PLS
