作者: Joe L. Mauderly , Steven K. Seilkop
DOI: 10.3109/08958378.2014.920440
关键词:
摘要: AbstractAn approach to identify causal components of complex air pollution mixtures was explored. Rats and mice were exposed by inhalation 6 h daily for 1 week or 6 months dilutions simulated downwind coal emissions, diesel gasoline exhausts wood smoke. Organ weights, hematology, serum chemistry, bronchoalveolar lavage, central vascular respiratory allergic responses measured. Multiple additive regression tree (MART) analysis the combined database ranked 45 exposure (predictor) variables importance models best fitting 47 significant responses. Single-predictor concentration-response data examined evidence single response functions across all groups. Replication influences two most important predictors tested. Statistical power limited inclusion only four mixtures, albeit in multiple concentrations each with particles removed some Results gave suggestive strong causatio...