【摘要】 目的:对肺癌患者和健康人尿液中9种微量元素进行判别分析,为肺癌的早期诊断提供科学依据。方法:用电感耦合等离子体发射光谱法测定肺癌患者和健康人尿液中的铬、铁、锰、铝、镉、铜、锌、镍,用原子荧光光谱法测定硒。结果:各元素线性关系良好,回归系数为0.9990～0.9998,检出限为0.0004～0.03μg·mL-1,方法精密度为1.9%～9.0%,加标回收率为80.1%～120.0%。对肺癌患者和健康人尿液中9种微量元素的含量进行了判别分析,建立判别函数,误判率小于2%。结论:肺癌患者和健康人尿液中9种微量元素的综合水平存在较为显著的差别。更多还原

【Abstract】 Objectives:To classify the concentrations of elements existing in the urine from lung cancer patients and healthy people by using discriminant analysis and afford the data for the early diagnosis of lung cancer.Methods:The concentrations of Cr,Fe,Mn,Al,Cd,Cu,Zn,Ni in human urine from lung cancer patients and healthy people in Shenyang were determined by inductively coupled plasma atomic emission spectrometry.Se was determined by atomic fluorescence spectrometry.Results:The standard curves were linear over working ranges and gave average correlation coefficients between 0.9990-0.9998.The limits of determination (LOD) were 0.0004-0.03 g·mL-1.The precisions were between 1.9%-9.0%,and the recoveries were between 80.1%-120.0%.The odds of erroneous judgement is lower than 2%.Conclusion:A data matrix of concentration of elements existing in the urine from lung cancer patients and healthy people are classified by using discriminant analysis.It shows that there is considerable difference between them.更多还原