Literature DB >> 18957993

Semi-continuous speciation analyses for ambient air particulate matter: an urgent need for health effects studies.

Morton Lippmann1.   

Abstract

One of the most urgent needs for future progress in reducing the substantial impacts of ambient air particulate matter (PM) on human health is to determine which of its components are having the greatest effects. The EPA's Speciation Trends Network (STN) has been operating since 2000. It generates 24-h average fine PM component concentrations for sulfate and nitrate ions, elemental and organic carbon (EC/OC), and many elements on an every third or sixth day basis for one or a few sites in most large US cities. To date, a small number of research studies, summarized in this paper, have used available STN and other supplemental data to identify and quantify the influences of specific components or source-related mixtures on measures of health-related impacts. These pioneering studies have demonstrated the potential utility of using such data in analyses that can provide a sound basis for guiding future research and control activities on those PM sources that have the greatest public health relevance. Unfortunately, the STN data collection methods used are expensive, and data have therefore been too sparse for studies of short-term health effects, where semi-continuous data, or at least daily 24-h concentration data are needed, as well as for regional concentration distributions that are needed for definitive analyses. Furthermore, because of cost considerations, there is virtually no prospect of collecting the data needed by the health researchers for more definitive analyses as long as there is continued reliance on current FRM sampling and analysis methodologies. At the second EPA-HEI Workshop on "Air Quality and Health Researchers Working Together" in RTP, NC on 16 and 17 April 2008, many participants concluded that it was both desirable, and possibly technically and economically feasible, to re-equip the STN sites with an automated system of semi-continuous monitors for sulfate, nitrate, EC, OC, and semi-continuous multistage PM samplers for non-volatile elements, providing continuous records of PM components with an averaging time of approximately 6 h for both thoracic coarse mode PM, fine PM, and perhaps ultrafine PM as well. The availability of such data would greatly accelerate the accumulation of knowledge on PM component exposure-response relationships that would provide a sound basis more targeted air quality standards and pollution control measures.

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Year:  2008        PMID: 18957993     DOI: 10.1038/jes.2008.65

Source DB:  PubMed          Journal:  J Expo Sci Environ Epidemiol        ISSN: 1559-0631            Impact factor:   5.563


  8 in total

1.  Source apportionment of ultrafine and fine particle concentrations in Brisbane, Australia.

Authors:  Adrian J Friend; Godwin A Ayoko; E Rohan Jayaratne; Milan Jamriska; Philip K Hopke; Lidia Morawska
Journal:  Environ Sci Pollut Res Int       Date:  2012-02-19       Impact factor: 4.223

2.  The sensitivity of health effect estimates from time-series studies to fine particulate matter component sampling schedule.

Authors:  Sun-Young Kim; Lianne Sheppard; Michael P Hannigan; Steven J Dutton; Jennifer L Peel; Maggie L Clark; Sverre Vedal
Journal:  J Expo Sci Environ Epidemiol       Date:  2013-05-15       Impact factor: 5.563

3.  Variation in the composition and in vitro proinflammatory effect of urban particulate matter from different sites.

Authors:  Natalia Manzano-León; Raúl Quintana; Brisa Sánchez; Jesús Serrano; Elizabeth Vega; Inés Vázquez-López; Leonora Rojas-Bracho; Tania López-Villegas; Marie S O'Neill; Felipe Vadillo-Ortega; Andrea De Vizcaya-Ruiz; Irma Rosas; Alvaro R Osornio-Vargas
Journal:  J Biochem Mol Toxicol       Date:  2013-01       Impact factor: 3.642

4.  Individual-level concentrations of fine particulate matter chemical components and subclinical atherosclerosis: a cross-sectional analysis based on 2 advanced exposure prediction models in the multi-ethnic study of atherosclerosis.

Authors:  Sun-Young Kim; Lianne Sheppard; Joel D Kaufman; Silas Bergen; Adam A Szpiro; Timothy V Larson; Sara D Adar; Ana V Diez Roux; Joseph F Polak; Sverre Vedal
Journal:  Am J Epidemiol       Date:  2014-08-26       Impact factor: 4.897

5.  Assessment of heterogeneity of metal composition of fine particulate matter collected from eight U.S. counties using principal component analysis.

Authors:  Inkyu Han; Jana N Mihalic; Juan P Ramos-Bonilla; Ana M Rule; Lisa M Polyak; Roger D Peng; Alison S Geyh; Patrick N Breysse
Journal:  J Air Waste Manag Assoc       Date:  2012-07       Impact factor: 2.235

6.  The temporal lag structure of short-term associations of fine particulate matter chemical constituents and cardiovascular and respiratory hospitalizations.

Authors:  Sun-Young Kim; Jennifer L Peel; Michael P Hannigan; Steven J Dutton; Lianne Sheppard; Maggie L Clark; Sverre Vedal
Journal:  Environ Health Perspect       Date:  2012-05-18       Impact factor: 9.031

7.  Electrocardiographic ST-segment depression and exposure to traffic-related aerosols in elderly subjects with coronary artery disease.

Authors:  Ralph J Delfino; Daniel L Gillen; Thomas Tjoa; Norbert Staimer; Andrea Polidori; Mohammad Arhami; Constantinos Sioutas; John Longhurst
Journal:  Environ Health Perspect       Date:  2010-10-21       Impact factor: 9.031

8.  Combining PM2.5 Component Data from Multiple Sources: Data Consistency and Characteristics Relevant to Epidemiological Analyses of Predicted Long-Term Exposures.

Authors:  Sun-Young Kim; Lianne Sheppard; Timothy V Larson; Joel D Kaufman; Sverre Vedal
Journal:  Environ Health Perspect       Date:  2015-02-27       Impact factor: 9.031

  8 in total

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