New Methods for Personal Exposure Monitoring for Airborne Particles

Overview

Journal Curr Environ Health Rep

Specialty Environmental Health

Date 2015 Sep 20

PMID 26385477

Citations 31

Authors

Kirsten A Koehler

Thomas M Peters

Affiliations

Soon will be listed here.

Abstract

Airborne particles have been associated with a range of adverse cardiopulmonary outcomes, which has driven its monitoring at stationary central sites throughout the world. Individual exposures, however, can differ substantially from concentrations measured at central sites due to spatial variability across a region and sources unique to the individual, such as cooking or cleaning in homes, traffic emissions during commutes, and widely varying sources encountered at work. Personal monitoring with small, battery-powered instruments enables the measurement of an individual's exposure as they go about their daily activities. Personal monitoring can substantially reduce exposure misclassification and improve the power to detect relationships between particulate pollution and adverse health outcomes. By partitioning exposures to known locations and sources, it may be possible to account for variable toxicity of different sources. This review outlines recent advances in the field of personal exposure assessment for particulate pollution. Advances in battery technology have improved the feasibility of 24-h monitoring, providing the ability to more completely attribute exposures to microenvironment (e.g., work, home, commute). New metrics to evaluate the relationship between particulate matter and health are also being considered, including particle number concentration, particle composition measures, and particle oxidative load. Such metrics provide opportunities to develop more precise associations between airborne particles and health and may provide opportunities for more effective regulations.

Citing Articles

A Portable Infrared System for Identification of Particulate Matter.

Nunez J, Boersma A, Koldeweij R, Trimboli J Sensors (Basel). 2024; 24(7).

PMID: 38610499 PMC: 11014306. DOI: 10.3390/s24072288.

Epigenetic mechanisms of particulate matter exposure: air pollution and hazards on human health.

Gavito-Covarrubias D, Ramirez-Diaz I, Guzman-Linares J, Limon I, Manuel-Sanchez D, Molina-Herrera A Front Genet. 2024; 14:1306600.

PMID: 38299096 PMC: 10829887. DOI: 10.3389/fgene.2023.1306600.

Efficacy of Low-Cost Sensor Networks at Detecting Fine-Scale Variations in Particulate Matter in Urban Environments.

Heintzelman A, Filippelli G, Moreno-Madrinan M, Wilson J, Wang L, Druschel G Int J Environ Res Public Health. 2023; 20(3).

PMID: 36767298 PMC: 9915248. DOI: 10.3390/ijerph20031934.

Assessment of the exposure to PM in different Lebanese microenvironments at different temporal scales.

Faour A, Abboud M, Germanos G, Farah W Environ Monit Assess. 2022; 195(1):21.

PMID: 36279025 PMC: 9589677. DOI: 10.1007/s10661-022-10607-6.

Feasibility of low-cost particle sensor types in long-term indoor air pollution health studies after repeated calibration, 2019-2021.

Anastasiou E, Vilcassim M, Adragna J, Gill E, Tovar A, Thorpe L Sci Rep. 2022; 12(1):14571.

PMID: 36028517 PMC: 9411839. DOI: 10.1038/s41598-022-18200-0.

References

Sameenoi Y, Panymeesamer P, Supalakorn N, Koehler K, Chailapakul O, Henry C . Microfluidic paper-based analytical device for aerosol oxidative activity. Environ Sci Technol. 2012; 47(2):932-40. PMC: 3556395. DOI: 10.1021/es304662w. View

Oberdorster G . Pulmonary effects of inhaled ultrafine particles. Int Arch Occup Environ Health. 2001; 74(1):1-8. DOI: 10.1007/s004200000185. View

Janes H, Sheppard L, Shepherd K . Statistical analysis of air pollution panel studies: an illustration. Ann Epidemiol. 2008; 18(10):792-802. DOI: 10.1016/j.annepidem.2008.06.004. View

Koehler K, Shapiro J, Sameenoi Y, Henry C, Volckens J . LABORATORY EVALUATION OF A MICROFLUIDIC ELECTROCHEMICAL SENSOR FOR AEROSOL OXIDATIVE LOAD. Aerosol Sci Technol. 2014; 48(5):489-497. PMC: 3975820. DOI: 10.1080/02786826.2014.891722. View

Asbach C, Kaminski H, von Barany D, Kuhlbusch T, Monz C, Dziurowitz N . Comparability of portable nanoparticle exposure monitors. Ann Occup Hyg. 2012; 56(5):606-21. DOI: 10.1093/annhyg/mes033. View

Meier R, Eeftens M, Aguilera I, Phuleria H, Ineichen A, Davey M . Ambient ultrafine particle levels at residential and reference sites in urban and rural Switzerland. Environ Sci Technol. 2015; 49(5):2709-15. DOI: 10.1021/es505246m. View

Dungchai W, Sameenoi Y, Chailapakul O, Volckens J, Henry C . Determination of aerosol oxidative activity using silver nanoparticle aggregation on paper-based analytical devices. Analyst. 2013; 138(22):6766-73. PMC: 3859434. DOI: 10.1039/c3an01235b. View

Cena L, Anthony T, Peters T . A personal nanoparticle respiratory deposition (NRD) sampler. Environ Sci Technol. 2011; 45(15):6483-90. PMC: 4751023. DOI: 10.1021/es201379a. View

Schafer F, Buettner G . Redox environment of the cell as viewed through the redox state of the glutathione disulfide/glutathione couple. Free Radic Biol Med. 2001; 30(11):1191-212. DOI: 10.1016/s0891-5849(01)00480-4. View

10.

Li N, Sioutas C, Cho A, Schmitz D, Misra C, Sempf J . Ultrafine particulate pollutants induce oxidative stress and mitochondrial damage. Environ Health Perspect. 2003; 111(4):455-60. PMC: 1241427. DOI: 10.1289/ehp.6000. View

11.

Upadhyay N, Majestic B, Prapaipong P, Herckes P . Evaluation of polyurethane foam, polypropylene, quartz fiber, and cellulose substrates for multi-element analysis of atmospheric particulate matter by ICP-MS. Anal Bioanal Chem. 2009; 394(1):255-66. DOI: 10.1007/s00216-009-2671-6. View

12.

Cai J, Yan B, Ross J, Zhang D, Kinney P, Perzanowski M . Validation of MicroAeth® as a Black Carbon Monitor for Fixed-Site Measurement and Optimization for Personal Exposure Characterization. Aerosol Air Qual Res. 2014; 14(1):1-9. PMC: 4240508. DOI: 10.4209/aaqr.2013.03.0088. View

13.

Dominici F, Peng R, Bell M, Pham L, McDermott A, Zeger S . Fine particulate air pollution and hospital admission for cardiovascular and respiratory diseases. JAMA. 2006; 295(10):1127-34. PMC: 3543154. DOI: 10.1001/jama.295.10.1127. View

14.

Meier R, Cascio W, Ghio A, Wild P, Danuser B, Riediker M . Associations of short-term particle and noise exposures with markers of cardiovascular and respiratory health among highway maintenance workers. Environ Health Perspect. 2014; 122(7):726-32. PMC: 4080522. DOI: 10.1289/ehp.1307100. View

15.

Sherwood R, GREENHALGH D . A personal air sampler. Ann Occup Hyg. 1960; 2:127-32. View

16.

Cyrs W, Boysen D, Casuccio G, Lersch T, Peters T . Nanoparticle collection efficiency of capillary pore membrane filters. J Aerosol Sci. 2023; 41(7):655-664. PMC: 10425775. DOI: 10.1016/j.jaerosci.2010.04.007. View

17.

Anthony T, Landazuri A, Van Dyke M, Volckens J . Design and computational fluid dynamics investigation of a personal, high flow inhalable sampler. Ann Occup Hyg. 2010; 54(4):427-42. PMC: 4780251. DOI: 10.1093/annhyg/meq029. View

18.

Rice M, Ljungman P, Wilker E, Gold D, Schwartz J, Koutrakis P . Short-term exposure to air pollution and lung function in the Framingham Heart Study. Am J Respir Crit Care Med. 2013; 188(11):1351-7. PMC: 3919078. DOI: 10.1164/rccm.201308-1414OC. View

19.

Klepeis N, Hughes S, Edwards R, Allen T, Johnson M, Chowdhury Z . Promoting smoke-free homes: a novel behavioral intervention using real-time audio-visual feedback on airborne particle levels. PLoS One. 2013; 8(8):e73251. PMC: 3751871. DOI: 10.1371/journal.pone.0073251. View

20.

Zhou S, Weitzman M, Vilcassim R, Wilson J, Legrand N, Saunders E . Air quality in New York City hookah bars. Tob Control. 2014; 24(e3):e193-8. PMC: 4390442. DOI: 10.1136/tobaccocontrol-2014-051763. View