title: Multivariate cluster analysis as a versatile tool for the quality assessment of short chain chloroparaffin quantification in environmental samples.
abstract: The compositions of commercially available solutions of short chain chlorinated paraffins (SCCP) and technical mixtures were determined by high resolution gas chromatography (HRGC) electron capture negative ionisation (ECNI) combined with low resolution mass spectrometry (LRMS). Differences and similarities in the relative distribution of congeners and homologues were investigated by cluster analysis. Samples could be separated into two groups/clusters with similar molecular mass, chlorination degree and congener pattern. With the exception of one sample, the use of CH4-ECNI-MS led to an overestimation of the chlorine content. Moreover, the influence of different SCCP mixtures on the quantification was studied. The results showed that small differences in the chlorine content could sometimes cause substantial systematic errors of up to 119% despite similar homologue and congener patterns. Errors of quantification corresponded to the deviations between response factors of sample and standard. As a consequence SCCPs should be quantified with a standard matching the overall response factor of the sample.
authors.affiliation: Organic Analytical Chemistry, University of Basel, Neuhausstr. 31, CH-4057 Basel, Switzerland.
authors.forename: Jana
authors.initials: J
authors.lastname: Hüttig
authors.forename: Michael
authors.initials: M
authors.lastname: Oehme
mesh_terms: D016000:Cluster Analysis; D004784:Environmental Monitoring; D008401:Gas Chromatography-Mass Spectrometry; D006843:Hydrocarbons, Chlorinated / Q000032:analysis*; D015999:Multivariate Analysis; D010232:Paraffin / Q000032:analysis*; D018570:Risk Assessment
chemical_list: D006843:Hydrocarbons, Chlorinated; D010232:Paraffin