2025
Gas-Phase Nitrate Radical Production Using Irradiated Ceric Ammonium Nitrate: Insights into Secondary Organic Aerosol Formation from Biogenic and Biomass Burning Precursors
Lambe A, Glenn C, Avery A, Xu T, Ditto J, Canagaratna M, Gentner D, Docherty K, Jaoui M, Zaks J, Bertram A, Ng N, Liu P. Gas-Phase Nitrate Radical Production Using Irradiated Ceric Ammonium Nitrate: Insights into Secondary Organic Aerosol Formation from Biogenic and Biomass Burning Precursors. ACS Earth And Space Chemistry 2025, 9: 545-559. PMID: 40546264, PMCID: PMC12180755, DOI: 10.1021/acsearthspacechem.4c00293.Peer-Reviewed Original ResearchSecondary organic aerosolOxygenated volatile organic compoundsOxidation flow reactorVolatile organic compoundsSecondary organic aerosol formationSecondary organic aerosol yieldMaximum SOA yieldsBiomass burning sourcesOrganic aerosol formationNitrate radical productionOxidation of volatile organic compoundsOxygen-to-carbon ratioHydroxyl radical chemistryOrganic compoundsSOA yieldsNO3 oxidationOrganic aerosolNO3 chemistryBurning sourcesBiogenic sourcesAerosol formationNO3 sourcesElement ratiosNitrate radicalAtmospheric oxidationAmbient Toxic Air Contaminants in the Maternal Residential Area during Pregnancy and Cerebral Palsy in the Offspring
Zhuo H, Ritz B, Warren J, Pollitt K, Liew Z. Ambient Toxic Air Contaminants in the Maternal Residential Area during Pregnancy and Cerebral Palsy in the Offspring. Environmental Health Perspectives 2025, 133: 017008. PMID: 39853265, PMCID: PMC11758984, DOI: 10.1289/ehp14742.Peer-Reviewed Original ResearchConceptsToxic air contaminantsVolatile organic compoundsMaternal residential exposureCerebral palsyMixtures of volatile organic compoundsRisk of CPResidential exposureAir contaminationTraffic emission sourcesRisk factors of CPIncreased risk of CPRisk ratioCP casesEstimate mixture effectsResidential areasInterquartile range increaseConfidence intervalsLive singleton birthsModified Poisson regressionNegative control exposureQuantile-based g-computationFactors of CPCase-cohort studyContaminant mixturesEnvironmental risk factors
2024
Domestic groundwater wells in Appalachia show evidence of low-dose, complex mixtures of legacy pollutants
Bugher N, Xiong B, Gentles R, Glist L, Siegel H, Johnson N, Clark C, Deziel N, Saiers J, Plata D. Domestic groundwater wells in Appalachia show evidence of low-dose, complex mixtures of legacy pollutants. Environmental Science Processes & Impacts 2024, 26: 2250-2263. PMID: 39501836, DOI: 10.1039/d4em00364k.Peer-Reviewed Original ResearchVolatile organic compoundsMaximum contaminant levelEnvironmental Protection AgencyDrinking water sourcesContaminated sitesVOC concentrationsIndustrial activitiesConcentrations of volatile organic compoundsVolatile organic compound contaminationVolatile organic compound concentrationsWater sourcesIndustrially contaminated sitesLack of water quality dataPotential groundwater contaminationU.S. Environmental Protection AgencyWater quality dataComplex geochemical processesLegacy pollutantsGroundwater contaminationSuperfund siteContaminant occurrenceWest VirginiaMultiple volatile organic compoundsContamination levelsExposure riskEffective electrochemical trichloroethylene removal from water enabled by selective molecular catalysis
Gao Y, Zhang W, Choi C, Shang B, Cheon S, Meese A, Kim J, Long D, Fortner J, Wang H. Effective electrochemical trichloroethylene removal from water enabled by selective molecular catalysis. Carbon Future 2024, 1: 9200015. PMID: 40486245, PMCID: PMC12143162, DOI: 10.26599/cf.2024.9200015.Peer-Reviewed Original ResearchTwo-dimensional nanostructuresTrichloroethylene removalRate determining stepCarbon nanotube supportChlorinated volatile organic compoundsCarbon nanotubesMolecular catalysisFaradaic efficiencyProton involvementElectron transferSimulated water samplesCobalt phthalocyanineVolatile organic compoundsCoPc moleculesChloride ionsMultiwalled carbon nanotubesCatalystKinetic studiesOrganic compoundsWater samplesRGOElectrolyte concentrationTrichloroethyleneCoPcMoleculesDrinking water source and exposure to regulated water contaminants in the California Teachers Study cohort
Spaur M, Medgyesi D, Bangia K, Madrigal J, Hurwitz L, Beane Freeman L, Fisher J, Spielfogel E, Lacey J, Sanchez T, Jones R, Ward M. Drinking water source and exposure to regulated water contaminants in the California Teachers Study cohort. Journal Of Exposure Science & Environmental Epidemiology 2024, 35: 454-465. PMID: 39003368, PMCID: PMC12069093, DOI: 10.1038/s41370-024-00703-9.Peer-Reviewed Original ResearchDrinking water sourcesCommunity water systemsGross alphaWater sourcesWater contamination levelsAssociated health effectsDrinking water exposureVolatile organic compoundsContamination levelsAverage concentrationWater contaminationDomestic wellsRegulatory limitsNitrate concentrationsArea boundariesMonitoring dataCalifornia Teachers StudyOrganic compoundsHealth effectsWater systemsWater exposureContaminationTrichloroethyleneNitrateDisinfection byproductsAir quality modeling in the metropolitan area of São Paulo, Brazil: A review
Gavidia-Calderón M, Schuch D, Vara-Vela A, Inoue R, Freitas E, de A. Albuquerque T, Zhang Y, de Fatima Andrade M, Bell M. Air quality modeling in the metropolitan area of São Paulo, Brazil: A review. Atmospheric Environment 2024, 319: 120301. PMID: 38827432, PMCID: PMC7616053, DOI: 10.1016/j.atmosenv.2023.120301.Peer-Reviewed Original ResearchMetropolitan Area of Sao PauloAir quality modelsVolatile organic compoundsQuality modelRoot mean square errorAir qualityWeather Research and Forecasting modelAir quality modeling studiesSources of air pollutionEstimates volatile organic compoundFine particulate matterEstimate pollutant concentrationsData assimilation techniquesModeling air qualityHealth impact studiesImpacts of climate changeSpatial disaggregation approachTemporal emission profilesPM2.5 concentrationsSouth American citiesMeasurement campaign dataMeteorological reanalysisPollutant concentrationsAerosol speciationOzone estimatesTotal organic carbon measurements reveal major gaps in petrochemical emissions reporting
He M, Ditto J, Gardner L, Machesky J, Hass-Mitchell T, Chen C, Khare P, Sahin B, Fortner J, Plata D, Drollette B, Hayden K, Wentzell J, Mittermeier R, Leithead A, Lee P, Darlington A, Wren S, Zhang J, Wolde M, Moussa S, Li S, Liggio J, Gentner D. Total organic carbon measurements reveal major gaps in petrochemical emissions reporting. Science 2024, 383: 426-432. PMID: 38271520, DOI: 10.1126/science.adj6233.Peer-Reviewed Original ResearchOrganic carbon emissionsOrganic carbon measurementsImpact of anthropogenic emissionsCarbon measurementsAircraft-based measurementsSecondary air pollutantsOrganic compoundsIntermediate-volatilityAnthropogenic emissionsPetrochemical emissionsSemivolatile organic compoundsVolatile organic compoundsMass closureCarbon emissionsAir pollutionChemical featuresCarbon monitoringEmissions reportingEmissionCanadaPetroleumPollutionObservationsSecondary Brown Carbon Formation From Photooxidation of Furans From Biomass Burning
Joo T, Machesky J, Zeng L, Hass‐Mitchell T, Weber R, Gentner D, Ng N. Secondary Brown Carbon Formation From Photooxidation of Furans From Biomass Burning. Geophysical Research Letters 2024, 51 DOI: 10.1029/2023gl104900.Peer-Reviewed Original ResearchNitrogen-containing organic compoundsBrown carbon formationSecondary organic aerosolSecondary Brown CarbonOrganic compoundsBrown carbonCarbon formationAmmonium sulfate seed aerosolSulfate seed aerosolOptical propertiesReduced nitrogen speciesVolatile organic compoundsAccretion reactionsBiomass burningAmmonium sulfate aerosolsFurfural oxidationBrC formationSeed aerosolAtmospheric oxidantsOrganic aerosolPhotochemical agingGas-phase carbonHigh reactivityAmbient biomassPhotooxidation
2023
Ultrasensitive discrimination of volatile organic compounds using a microfluidic silicon SERS artificial intelligence chip
Cao H, Shi H, Tang J, Xu Y, Ling Y, Lu X, Yang Y, Zhang X, Wang H. Ultrasensitive discrimination of volatile organic compounds using a microfluidic silicon SERS artificial intelligence chip. IScience 2023, 26: 107821. PMID: 37731613, PMCID: PMC10507157, DOI: 10.1016/j.isci.2023.107821.Peer-Reviewed Original ResearchSurface-enhanced Raman scatteringDiscrimination of volatile organic compoundsPpt levelTrace volatile organic compoundsZeolitic imidazolate framework-8Volatile organic compoundsOrganic compoundsSurface-enhanced Raman scattering measurementsTrace aldehydesGaseous analytesGaseous aldehydesCompound classesVOC classesRaman scatteringAldehydesSERS chipPreconcentrationGaseous sensorOrganic compound classesCompoundsSilicon wafersSpectral datasetsAdequacy of stationary measurements as proxies for residential personal exposure to gaseous and particle air pollutants
González Serrano V, Lin E, Godri Pollitt K, Licina D. Adequacy of stationary measurements as proxies for residential personal exposure to gaseous and particle air pollutants. Environmental Research 2023, 231: 116197. PMID: 37224948, DOI: 10.1016/j.envres.2023.116197.Peer-Reviewed Original ResearchConceptsVolatile organic compoundsOrganic compoundsTotal volatile organic compoundsPassive samplersSingle COCompoundsCOPollutantsCarbon dioxideStationary samplesEnvironmental monitorsReal-time sensorsSVOCsParticlesHigh concentrationsPersonal exposure monitorsAirborne pollutantsInhalation exposure assessmentAir quality monitoringDioxideAir pollutantsParticle number concentrationConcentrationSamplerParticle pollutantsA novel non-invasive colorectal cancer diagnostic method: Volatile organic compounds as biomarkers
Alustiza M, Ripoll L, Canals A, Murcia O, Martínez-Roca A, García-Heredia A, Giner-Calabuig M, Jover R, Vidal L. A novel non-invasive colorectal cancer diagnostic method: Volatile organic compounds as biomarkers. Clinica Chimica Acta 2023, 542: 117273. PMID: 36863694, DOI: 10.1016/j.cca.2023.117273.Peer-Reviewed Original ResearchConceptsVolatile organic compoundsOrganic compoundsPre-malignant lesionsThermal desorption-gas chromatography-mass spectrometryFecal testsP-cresolSensitive analytical methodologyCancer samplesColorectal cancer screeningChromatography-mass spectrometryMagnetic graphene oxideCRC patient samplesFecal samplesExtractant phaseSpecificity 63Cancer screeningStool samplesAdenomatous polypsCRC detectionGraphene oxideSpecificity 79Adsorptive extractionSensitivity 83Analytical methodologyPatient samples
2022
Personal airborne chemical exposure and epigenetic ageing biomarkers in healthy Chinese elderly individuals: Evidence from mixture approaches
Shi W, Gao X, Cao Y, Chen Y, Cui Q, Deng F, Yang B, Lin E, Fang J, Li T, Tang S, Godri Pollitt K, Shi X. Personal airborne chemical exposure and epigenetic ageing biomarkers in healthy Chinese elderly individuals: Evidence from mixture approaches. Environment International 2022, 170: 107614. PMID: 36375280, DOI: 10.1016/j.envint.2022.107614.Peer-Reviewed Original ResearchConceptsEpigenetic ageing biomarkersPolycyclic aromatic hydrocarbonsOrganic chemical contaminantsVolatile organic compoundsElderly individualsChemical exposureAge-related adverse effectsBayesian kernel machine regression (BKMR) modelsOrganic compoundsAging biomarkersChinese elderly individualsOrganic chemicalsHealthy elderly peopleLinear mixed-effects regression modelsHealthy elderly individualsAirborne chemical exposuresQuantile sum (WQS) regressionPassive samplersNitroaromaticsMixed effects regression modelsEpigenetic biomarkersChemical contaminantsPersonal chemical exposureChlorinated hydrocarbonsChemical mixtures
2021
Exploring personal chemical exposures in China with wearable air pollutant monitors: A repeated-measure study in healthy older adults in Jinan, China
Guo P, Lin EZ, Koelmel JP, Ding E, Gao Y, Deng F, Dong H, Liu Y, Cha Y, Fang J, Shi X, Tang S, Godri Pollitt KJ. Exploring personal chemical exposures in China with wearable air pollutant monitors: A repeated-measure study in healthy older adults in Jinan, China. Environment International 2021, 156: 106709. PMID: 34153889, DOI: 10.1016/j.envint.2021.106709.Peer-Reviewed Original ResearchConceptsVolatile organic compoundsPolycyclic aromatic hydrocarbonsAirborne chemical contaminantsPersonal exposure profilesPassive air samplersOrganic compoundsPassive samplersChemical classesChemical contaminantsChemical analysisPersonal chemical exposureCertain polycyclic aromatic hydrocarbonsChemical exposureAirborne compoundsAirborne contaminantsCompoundsAromatic hydrocarbonsContaminantsAir monitoring sitesComprehensive characterizationPhthalateNitroaromaticsRepeated-measures studyAir samplerNitrobenzeneSurvey of airborne organic compounds in residential communities near a natural gas compressor station: Response to community concern
Vollet Martin KA, Lin EZ, Hilbert TJ, Godri Pollitt KJ, Haynes EN. Survey of airborne organic compounds in residential communities near a natural gas compressor station: Response to community concern. Environmental Advances 2021, 5: 100076. PMID: 36185588, PMCID: PMC9523739, DOI: 10.1016/j.envadv.2021.100076.Peer-Reviewed Original ResearchSemi-volatile organic compoundsVolatile organic compoundsOrganic compoundsNatural gas compressor stationGas compressor stationsAirborne organic compoundsCompressor stationsPassive air samplersAirborne organicsElevated pollutant levelsNaphthalene derivativesSumma canistersAir sampling campaignsCompoundsVOC concentrationsVOC exposureHealth effectsContaminant levelsIndoor air contaminant levelsPipeline networkGas flowAir qualitySerious health effectsAir contaminantsCommunity members' concernsHead, Shoulders, Knees, and Toes: Placement of Wearable Passive Samplers Alters Exposure Profiles Observed
Koelmel JP, Lin EZ, Nichols A, Guo P, Zhou Y, Pollitt K. Head, Shoulders, Knees, and Toes: Placement of Wearable Passive Samplers Alters Exposure Profiles Observed. Environmental Science And Technology 2021, 55: 3796-3806. PMID: 33625210, DOI: 10.1021/acs.est.0c05522.Peer-Reviewed Original ResearchConceptsSemivolatile organic compoundsOrganic compoundsGas chromatography-high resolution mass spectrometryPassive samplersHigh-resolution mass spectrometryVolatile organic compoundsPersonal exposure profilesChemicals of concernMass spectrometryChemicalsExposure dynamicsExposure profilesCompoundsMajor risk factorComprehensive characterizationPersonal exposureAirborne contaminantsContaminant exposureRisk factorsInhalation routeEpidemiological studiesChemical exposureSpectrometrySamplerParticipants' wrists
2020
Integrative statistical methods for exposure mixtures and health
Reich BJ, Guan Y, Fourches D, Warren JL, Sarnat SE, Chang HH. Integrative statistical methods for exposure mixtures and health. The Annals Of Applied Statistics 2020, 14: 1945-1963. PMID: 35284031, PMCID: PMC8914338, DOI: 10.1214/20-aoas1364.Peer-Reviewed Original ResearchIntegrative statistical methodsStatistical methodsAuxiliary informationFlexible Bayesian modelInnovative statistical toolsPrior distributionVolatile organic compoundsStatistical toolsBayesian modelOrganic compoundsInterpretable modelsSpectrum of analysisRole of mixturesEmergency room visitsChemical mixturesDiverse chemicalsMixture constituentsNew methodRoom visitsMixtureEnvironmental epidemiologyMeasured exposureChemicalsAdverse health outcomesToxicological data
2017
Biomonitoring-based exposure assessment of benzene, toluene, ethylbenzene and xylene among workers at petroleum distribution facilities
Heibati B, Pollitt K, Charati JY, Ducatman A, Shokrzadeh M, Karimi A, Mohammadyan M. Biomonitoring-based exposure assessment of benzene, toluene, ethylbenzene and xylene among workers at petroleum distribution facilities. Ecotoxicology And Environmental Safety 2017, 149: 19-25. PMID: 29145162, DOI: 10.1016/j.ecoenv.2017.10.070.Peer-Reviewed Original ResearchConceptsGas chromatography-mass spectrometrySolid-phase microextractionChromatography-mass spectrometryVolatile organic compoundsOrganic compoundsPpb tolueneMass spectrometryPassive samplersPersonal passive samplersConcentrations of BTEXPpb benzeneBenzeneBTEX compoundsTolueneUrinary BTEX levelsOil distribution companyPersonal exposureXylenePersonal air exposuresBTEXCompoundsEthylbenzeneOccupational health concernAir exposureRapid method
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-outdoorAddressing extrema and censoring in pollutant and exposure data using mixture of normal distributions
Li S, Batterman S, Su F, Mukherjee B. Addressing extrema and censoring in pollutant and exposure data using mixture of normal distributions. Atmospheric Environment 2013, 77: 464-473. PMID: 24348086, PMCID: PMC3857711, DOI: 10.1016/j.atmosenv.2013.05.004.Peer-Reviewed Original ResearchFinite mixture of normalsDirichlet process mixtureMixtures of normalsDirichlet process mixtures of normalsFinite mixtureHeavy tailsDirichlet process mixture methodsMethod detection limitsComprehensive simulation studyDistributions of VOC concentrationsProcess mixtureStandard model assumptionsPosterior distributionEmpirical densityNormal distributionSimulation studyGoodness-of-fit criteriaVolatile organic compoundsDensity estimationGoodness-of-fitDensity estimation methodCensoringConvergence issuesExposure dataEstimation method
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