中文摘要：

本文采用激发发射荧光光谱分别与化学计量学中平行因子分析（PARAFAC）和交替三线性分解（ATLD）二阶校正法相结合,对尿液样和血浆样中左旋多巴含量进行定量测定。实验不需对尿液和血浆预测样进行萃取等分离预处理。在尿液样中,当组分数取2时,用PARAFAC算法和ATLD算法获得的平均回收率分别为（98.9±2.3）%和（99.6±2.8）%。在血浆样中,当组分数取3时,PARAFAC算法和ATLD算法获得的平均回收率分别为（103.1±3.7）%和（99.2±4.2）%。研究结果表明,该法能够解决尿液样和血浆样中左旋多巴因尿液和血浆内源物质与待分析物光谱重叠所引起的难分辨的问题,可用于未知干扰共存下左旋多巴含量的直接快速定量测定。

英文摘要：

An effective fluorescence method was proposed for the determination of levodopa,a routine prescribed drug in the treatment of Parkinson＇s disease,in both human urine and plasma samples. This method utilized excitation-emission matrix fluorescence combined with second-order calibration methods based on parallel factor analysis （PARAFAC） and alternating trilinear decomposition （ATLD） algorithms,respectively. Satisfactory results have been achieved for levodopa in biological matrices,fully exploiting ＂second-order advantage＂. The average recoveries of levadopa in urine samples obtained by PARAFAC and ATLD with N=2 were （98.8±2.3）% and （99.6±2.8）%,respectively. When the component number was chosen to 3 （N=3）,the average recoveries of levodopa for human plasma samples were （103.1±3.7）% for PARAFAC and （99.2±4.2）% for ATLD. It proved that the proposed methods could be applied to quantitative anlysis of levodapa in human plasma and urine,without time-consuming and complicated pretreatment.