摘要
将主成分回归分析法用于动力学多组分测定中，从待测物的动力学及全波谱联合量测数据中抽取有用主成分信息，建立主成分校正模型，并完成了对铁、锌混合样的同时测定。在计算中采用交互验证法确定主成分数。对三种不同的量测数据所得的结果进行了比较，发现采用全波谱动力学数据可获得较好结果，铁、锌的回收率分别为９８８％，１０１８％，并用于人发实际样品测定。
Principal component regression(PCR)has been used for simultaneous multicomponent kinetic analysis.The cross-validation was used to get the suitable number of principal components(PCs).The individul kinetic or spectrophotometric data were compared with the kinetic-spectrophotometric data and the determination results of iron and zinc were given with the recovery of 98.8%,101.8% respectively.This thesis make a study to the application of chemometrics in the differential kinetic analysis.
出处
《南昌大学学报（理科版）》
CAS
1998年第3期265-269,共5页
Journal of Nanchang University(Natural Science)
基金
国家自然科学基金
江西省自然科学基金
关键词
主成分分析
速差动力学
铁
锌
主成分回归分析
principal component analysis,differential kinetic analysis,iron,zinc
