State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha, China.
Talanta. 2010 May 15;81(3):805-12. doi: 10.1016/j.talanta.2010.01.019. Epub 2010 Jan 21.
An HPLC method combined with second-order calibration based on alternating trilinear decomposition (ATLD) algorithm has been developed for the quantitative analysis of levodopa (LVD), carbidopa (CBD) and methyldopa (MTD) in human plasma samples. Prior to the analysis of the analytes by ATLD algorithm, three time regions of chromatograms were selected purposely for each analyte to avoid serious collinearity. Although the spectra of these analytes were similar and interferents coeluted with the analytes studied in biological samples, good recoveries of the analytes could be obtained with HPLC-DAD coupled with second-order calibration based on ATLD algorithm, additional benefits are decreasing times of analysis and less solvent consumption. The average recoveries achieved from ATLD with the factor number of 3 (N=3) were 100.1+/-2.1, 96.8+/-1.7 and 104.2+/-2.6% for LVD, CBD and MTD, respectively. In addition, elliptical joint confidence region (EJCR) tests as well as figures of merit (FOM) were employed to evaluate the accuracy of the method.
建立了一种高效液相色谱法,结合基于交替三线性分解(ATLD)算法的二阶校正,用于定量分析人血浆样品中的左旋多巴(LVD)、卡比多巴(CBD)和甲基多巴(MTD)。在使用 ATLD 算法对分析物进行分析之前,特意为每个分析物选择了三个色谱时间段,以避免严重的共线性。尽管这些分析物的光谱相似,并且干扰物与生物样品中研究的分析物共洗脱,但通过 HPLC-DAD 与基于 ATLD 的二阶校正相结合,可以获得良好的分析物回收率,此外还可以减少分析时间和溶剂消耗。使用因子数为 3(N=3)的 ATLD 获得的平均回收率分别为 LVD、CBD 和 MTD 的 100.1+/-2.1%、96.8+/-1.7%和 104.2+/-2.6%。此外,还采用椭圆联合置信区间(EJCR)检验和评价指标(FOM)来评估该方法的准确性。