FACTORS PREDICTIVE OF CONGENER PROFILES EXTRACTED BY POLYTOPIC VECTOR ANALYSIS IN HUMAN SERUM

摘要：

Introduction Polytopic vector analysis (PVA) is a multivariate statistical technique used to evaluate source contributions to complex chemical mixtures. PVA was applied to the University of Michigan Dioxin Exposure Study (UMDES) serum dataset to evaluate possible exposure sources of dioxin-like compounds and to compare exposure sources between the UMDES populations. Previous analysis demonstrated that two of the congener profiles extracted from the serum data varied by study population: This paper describes a bivariate analysis to evaluate whether selected region-specific parameters were predictive of levels of certain congener profiles in serum.

作者: Towey Timothy Adriaens Peter Barabás Noémi Demond Avery Hedgeman Elizabeth Garabrant David

作者单位: LimnoTech,501 Avis Dr. Ann Arbor MI 48108 USA Department of Civil and Environmental Engineering,1351 Beal Ave,The University of Michigan,Ann Arbor School for Public Health,1420 Washington Heights,The University of Michigan,Ann Arbor,MI 48109 USA

会议类型: 国际会议

会议名称: 29th International Symposium on Halogenated Persistent Organic Pollutants(第29届国际持久性有机污染物研讨会)(2009国际二噁英大会)

会议地点: 北京

会议语种:英文

页码: 1-5

在线出版日期: 2009-08-24（万方平台首次上网日期，不代表论文的发表时间）