2014
Personal exposure to mixtures of volatile organic compounds: modeling and further analysis of the RIOPA data.
Batterman S, Su F, Li S, Mukherjee B, Jia C. Personal exposure to mixtures of volatile organic compounds: modeling and further analysis of the RIOPA data. Research Report 2014, 3-63. PMID: 25145040, PMCID: PMC4577247.Peer-Reviewed Original ResearchConceptsPositive matrix factorizationCumulative cancer riskAir exchange rateVOC exposureToxicological mode of actionMethod detection limitsPersonal exposureVolatile organic compoundsOutdoor concentrationsVOC mixturesVOC concentrationsEmission sourcesEmission sources of volatile organic compoundsHome air exchange ratesLinear mixed-effects modelsSources of volatile organic compoundsLifetime cumulative cancer riskToxicological modeVOC dataIndividual VOCsVariables associated with exposureRelationship of IndoorIndoor VOC concentrationsCancer riskHealth-based guidelines
2013
Modeling and analysis of personal exposures to VOC mixtures using copulas
Su F, Mukherjee B, Batterman S. Modeling and analysis of personal exposures to VOC mixtures using copulas. Environment International 2013, 63: 236-245. PMID: 24333991, PMCID: PMC4233140, DOI: 10.1016/j.envint.2013.11.004.Peer-Reviewed Original ResearchConceptsVolatile organic compound mixtureVolatile organic compoundsPositive matrix factorizationCumulative cancer riskLikelihood of adverse health effectsLifetime cumulative cancer riskMixtures of pollutantsMeasurements of volatile organic compoundsToxicological mode of actionVolatile organic compound compositionMultivariate lognormal modelsPersonal exposure measurementsEvaluate cumulative risksAdverse health effectsAir exchange rateRIOPA participantsEnvironmental mixturesVehicle exhaustFit lognormal distributionsChlorinated solventsPersonal airRIOPADependence of multiple variablesToxicological modeIndoor-outdoor
2011
PM2.5-induced changes in cardiac function of hypertensive rats depend on wind direction and specific sources in Steubenville, Ohio
Kamal A, Rohr A, Mukherjee B, Morishita M, Keeler G, Harkema J, Wagner J. PM2.5-induced changes in cardiac function of hypertensive rats depend on wind direction and specific sources in Steubenville, Ohio. Inhalation Toxicology 2011, 23: 417-430. PMID: 21639710, DOI: 10.3109/08958378.2011.580387.Peer-Reviewed Original ResearchConceptsNE windsSW windsSource factorsMobile source factorsPositive matrix factorizationConcentrated ambient particlesPotential emission sourcesSources of PM(2.5Adverse health effectsPM constituentsWind directionParticulate matterMobile sourcesIndividual elemental componentsTrace elementsAmbient particlesIron/steel productionPM(2.5IncinerationAmbient PM(2.5Metal factorWindHealth effectsExposure to concentrated ambient particlesSouthwest
2010
Altered Heart Rate Variability in Spontaneously Hypertensive Rats Is Associated with Specific Particulate Matter Components in Detroit, Michigan
Rohr A, Kamal A, Morishita M, Mukherjee B, Keeler G, Harkema J, Wagner J. Altered Heart Rate Variability in Spontaneously Hypertensive Rats Is Associated with Specific Particulate Matter Components in Detroit, Michigan. Environmental Health Perspectives 2010, 119: 474-480. PMID: 21163724, PMCID: PMC3080928, DOI: 10.1289/ehp.1002831.Peer-Reviewed Original ResearchConceptsSource factorsPositive matrix factorizationNormal-to-normal intervalsLocal industrial sourcesParticulate matter componentsFine particulate matterSludge factorSemicontinuous ElementsSludge incinerationAerosol samplerAdverse cardiopulmonary health effectsAmbient particlesHeart rate variabilityExposure to fine particulate matterParticulate matterSulfation factorWinterRoot mean squareIndustrial sourcesIncreased root mean squareSummerCement/limeAnalytical resultsHeart rateSludge