摘要
采用近红外漫反射光谱法对黄连浸膏粉中小檗碱、巴马亭、药根碱和总生物碱含量进行快速无损检测。以HPLC分析值作参比 ,采用偏最小二乘回归算法建立二阶导数光谱信息与各组分含量间的定量校正模型 ,并对未知样品中各组分含量进行预测。小檗碱、巴马亭、药根碱和总生物碱的预测均方差 (RMSEP)分别为0 .1 84、0 .1 0 9、0 .0 5 4和 0 .32 5 ;加样回收率分别为 97.6 7%~ 99.5 9%、96 .6 3%~ 1 0 0 .70 %、95 .1 5 %~ 1 0 1 1 5 %和 97.4 1 %~ 99.89% ,重现性实验相对标准偏差 (RSD)分别为 0 .3%、0 .6 %、1 .8%和 0 .3%。该方法结果准确可靠 ,重现性、稳定性均良好 。
A quick and nondestructive method using near-infrared (NIR) diffuse reflectance spectroscopy was presented to determine the contents of berberine, palmatine, jatrorrhizine and total alkaloid of Coptis extract. Partial least square(PLS) was utilized to build the calibration models using second derivative spectra with high performance liquid chromatography as a reference method for each components. Root mean square error of prediction (RMSEP) for berberine, palmatine, jatrorrhizine and total alkaloid were 0.184, 0.109, 0.054 and 0.325, respectively. The recoveries were determined to be 97.67% similar to 99.59%, 96.63% similar to 100.70%, 95. 15% similar to 101.15% and 97.41% similar to 99.89% for berberine, palmatine, jatrorrhizine and total alkaloid, respectively. The relative standard deviations were 0.3% for berberine, 0.6% for palmatine, 1.8% for jatrorrhizine, and 0.3% for total alkaloid, respectively. The results show that the presented method has a good reproducibility and stability and can be applied to on-line detection in industrial process.
出处
《分析化学》
SCIE
EI
CAS
CSCD
北大核心
2004年第4期477-480,共4页
Chinese Journal of Analytical Chemistry
基金
国家重点基础研究发展规划项目 (No .G19990 5 44 0 8)
浙江省科技厅重大科技计划项目 (No .0 2 110 3 5 49)资助