摘要
本文利用2种分别基于交替三线性分解算法(ATLD)和自加权交替三线性分解算法(SWATLD)的二阶校正算法与三维荧光光谱相结合,对化妆品中的芦丁进行直接定量分析。当选取组分数为3时,ATLD和SWATLD获得的平均回收率分别为(94.4±2.7)%和(100.2±1.1)%。另外,采用品质因子,如灵敏度(SEN)、选择性(SEL)和检测下限(LOD)评估了这2种算法所得结果的准确性。实验表明这2种算法能成功地用于分析化妆品中芦丁的含量,而且在这个体系中,SWATLD的性能较ATLD稍优。
A simple and fast method,second-order calibration based on the alternating trilinear decomposition（ATLD） and the self-weighted alternating trilinear decomposition（SWATLD） algorithms,was proposed for the direct determination of rutin content in cosmetics using excitation-emission matrix fluorescence.When the component number was chosen to be 3（n = 3）,the average recoveries of rutin in the cosmetic samples obtained by using ATLD and SWATLD were 94.4±2.7%and 100.2±1.1%,respectively.Furthermore,the accuracy of the two algorithms was also evaluated through elliptical joint confidence region tests（EJCR） and figures of merit,such as sensitivity（SEN）,selectivity（SEL） and limit of detection （LOD）.The results indicated that both algorithms can be satisfactorily applied to directly determine rutin content in cosmetics,only the performance of SWATLD was slightly better than that of ATLD.
出处
《计算机与应用化学》
CAS
CSCD
北大核心
2010年第7期893-896,共4页
Computers and Applied Chemistry
基金
国家自然科学基金项目(20775025
20435010)
PCSIRT
关键词
芦丁
化妆品
三维荧光光谱
交替三线性分解算法
自加权交替三线性分解算法
rutin
cosmetics
excitation-emission matrix fluorescence
alternating trilinear decomposition algorithm
self-weighted alternating trilinear decomposition
