Literature DB >> 12144275

Comparison of light scattering devices and impactors for particulate measurements in indoor, outdoor, and personal environments.

L J Sally Liu1, James C Slaughter, Timothy V Larson.   

Abstract

Short-term monitoring of individual particulate matter (PM) exposures on subjects and inside residences in health effect studies have been sparse due to the lack of adequate monitoring devices. The recent development of small and portable light scattering devices, including the Radiance nephelometer (neph) and the personal DataRAM (pDR) has made this monitoring possible. This paper evaluates the performance of both the passive pDR and neph (without any size fractionation inlet) against measurements from both Harvard impactors (HI2.5) and Harvard personal environmental monitors (HPEM2.5) for PM2.5 in indoor, outdoor, and personal settings. These measurements were taken at the residences and on the person of nonsmoking elderly subjects across the metropolitan Seattle area and represent a wide range of light scattering measurements directly related to exposures and health effects. At low PM levels, nephs provided finer resolution and more precise measurements (precision = 3-8% and uncertainty = 2.8 x 10(-7) m(-1) or <1 microg/m3) than the pDRs. The unbiased precision of pDRs above 10 microg/m3 is around 5% (with an unbiased uncertainty of 4.4 microg/m3). The 24-h average responses of the pDR and neph, as compared to 24-h integrated gravimetric measurements, are not affected by indoor sources of PM. When regressed against 24-h gravimetric measurements, nephs showed higher coefficients of determination (R2 = 0.81-0.93) than pDRs (R2 = 0.77-0.84). The default mass calibration on the pDRs generally overestimated indoor HI2.5 measurements by 56%. When carried by subjects, the pDR overestimated the HPEM2.5 measurements by approximately 27%. Collocated real-time indoor nephs and pDRs at diverse residential sites had varied coefficients of determination across homes (R2 = 0.75-0.96), and the difference between pDR and neph responses increased during cooking hours. This difference was larger during baking or frying episodes than during other cooking or cleaning activities. Relative humidity, ranging between 25% and 64% indoors in our study, was not a significant factor affecting the differences in neph or pDR response. In summary, for nonsmoking residences, the mass scattering efficiency (m2/g) of a stationary indoor neph on a 24-h basis does not vary by residence, including residences with and without cooking activities. This is also true forthe pDR. These same stationary indoor pDRs and nephs correlate well with each other, even on a 10-min basis, in the absence of indoor source activities. The fact that these activities comprised a relatively small percentage (cooking + cleaning = 2.3%) of the overall sampling time meant that the overall correlation between these two instruments for all time periods was good. However, when examining the cooking and cleaning periods separately, the correlation was not very good. Thus, during these short-term PM episodes, the 24-h average calibrations versus gravimetric mass should be used with caution. Both devices should be potentially useful in future exposure assessment and health effects studies.

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Mesh:

Year:  2002        PMID: 12144275     DOI: 10.1021/es0112644

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  25 in total

1.  An inexpensive light-scattering particle monitor: field validation.

Authors:  Zohir Chowdhury; Rufus D Edwards; Michael Johnson; Kyra Naumoff Shields; Tracy Allen; Eduardo Canuz; Kirk R Smith
Journal:  J Environ Monit       Date:  2007-07-20

2.  Personal exposures to fine particulate matter and black carbon in households cooking with biomass fuels in rural Ghana.

Authors:  Eleanne D S Van Vliet; Kwakupoku Asante; Darby W Jack; Patrick L Kinney; Robin M Whyatt; Steven N Chillrud; Livesy Abokyi; Charles Zandoh; Seth Owusu-Agyei
Journal:  Environ Res       Date:  2013-10-28       Impact factor: 6.498

3.  Association between short term exposure to fine particulate matter and heart rate variability in older subjects with and without heart disease.

Authors:  J H Sullivan; A B Schreuder; C A Trenga; S L-J Liu; T V Larson; J Q Koenig; J D Kaufman
Journal:  Thorax       Date:  2005-06       Impact factor: 9.139

4.  Variation in gravimetric correction factors for nephelometer-derived estimates of personal exposure to PM2.5.

Authors:  Jessica Tryner; Nicholas Good; Ander Wilson; Maggie L Clark; Jennifer L Peel; John Volckens
Journal:  Environ Pollut       Date:  2019-04-05       Impact factor: 8.071

5.  Quantification of Self Pollution from Two Diesel School Buses using Three Independent Methods.

Authors:  L-J Sally Liu; Harish C Phuleria; Whitney Webber; Mark Davey; Douglas R Lawson; Robert G Ireson; Barbara Zielinska; John M Ondov; Christopher S Weaver; Charles A Lapin; Michael Easter; Thomas W Hesterberg; Timothy Larson
Journal:  Atmos Environ (1994)       Date:  2010-09-01       Impact factor: 4.798

6.  An assessment of air pollution and its attributable mortality in Ulaanbaatar, Mongolia.

Authors:  Ryan W Allen; Enkhjargal Gombojav; Baldorj Barkhasragchaa; Tsogtbaatar Byambaa; Oyuntogos Lkhasuren; Ofer Amram; Tim K Takaro; Craig R Janes
Journal:  Air Qual Atmos Health       Date:  2011-08-09       Impact factor: 3.763

7.  Predicting Airborne Particle Levels Aboard Washington State School Buses.

Authors:  Sara D Adar; Mark Davey; James R Sullivan; Michael Compher; Adam Szpiro; L-J Sally Liu
Journal:  Atmos Environ (1994)       Date:  2008-10       Impact factor: 4.798

8.  Participatory testing and reporting in an environmental-justice community of Worcester, Massachusetts: a pilot project.

Authors:  Timothy J Downs; Laurie Ross; Danielle Mucciarone; Maria-Camila Calvache; Octavia Taylor; Robert Goble
Journal:  Environ Health       Date:  2010-07-06       Impact factor: 5.984

9.  Biomass smoke in Burkina Faso: what is the relationship between particulate matter, carbon monoxide, and kitchen characteristics?

Authors:  S S Yamamoto; V R Louis; A Sié; R Sauerborn
Journal:  Environ Sci Pollut Res Int       Date:  2013-10-04       Impact factor: 4.223

10.  Examining the representativeness of home outdoor PM(2.5), EC, and OC estimates for daily personal exposures in Southern California.

Authors:  Regina E Ducret-Stich; Ralph J Delfino; Thomas Tjoa; Armin Gemperli; Alex Ineichen; Jun Wu; Harish C Phuleria; L-J Sally Liu
Journal:  Air Qual Atmos Health       Date:  2010-10-15       Impact factor: 3.763

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