Literature DB >> 24852612

Composition of PM2.5 and PM1 on high and low pollution event days and its relation to indoor air quality in a home for the elderly.

Anna J Buczyńska1, Agnieszka Krata2, Rene Van Grieken3, Andrew Brown4, Gabriela Polezer5, Karolien De Wael6, Sanja Potgieter-Vermaak7.   

Abstract

Many studies probing the link between air quality and health have pointed towards associations between particulate matter (PM) exposure and decreased lung function, aggravation of respiratory diseases like asthma, premature death and increased hospitalisation admissions for the elderly and individuals with cardiopulmonary diseases. Of recent, it is believed that the chemical composition and physical properties of PM may contribute significantly to these adverse health effects. As part of a Belgian Science Policy project ("Health effects of particulate matter in relation to physical-chemical characteristics and meteorology"), the chemical composition (elemental and ionic compositions) and physical properties (PM mass concentrations) of PM were investigated, indoors and outdoors of old age homes in Antwerp. The case reported here specifically relates to high versus normal/low pollution event periods. PM mass concentrations for PM1 and PM2.5 fractions were determined gravimetrically after collection via impaction. These same samples were hence analysed by EDXRF spectrometry and IC for their elemental and ionic compositions, respectively. During high pollution event days, PM mass concentrations inside the old age home reached 53 μg m(-3) and 32 μg m(-3) whilst outside concentrations were 101 μg m(-3) and 46 μg m(-3) for PM2.5 and PM1, respectively. The sum of nss-sulphate, nitrate and ammonium, dominate the composition of PM, and contribute the most towards an increase in the PM during the episode days constituting 64% of ambient PM2.5 (52 μg m(-3)) compared to 39% on non-episode days (10 μg m(-3)). Other PM components, such as mineral dust, sea salt or heavy metals were found to be considerably higher during PM episodes but relatively less important. Amongst heavy metals Zn and Pb were found at the highest concentrations in both PM2.5 and PM1. Acid-base ionic balance equations were calculated and point to acidic aerosols during event days and acidic to alkaline aerosols during non-event days. No significant sources of indoor pollutants could be identified inside the old-age home as high correlations were found between outdoor and indoor PM, confirming mainly the outdoor origin of indoor air.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Acidic aerosol; Elderly; High pollution event; Indoor air quality; PM characterisation

Mesh:

Substances:

Year:  2014        PMID: 24852612     DOI: 10.1016/j.scitotenv.2014.04.102

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  10 in total

1.  Trends on PM2.5 research, 1997-2016: a bibliometric study.

Authors:  Sheng Yang; Jing Sui; Tong Liu; Wenjuan Wu; Siyi Xu; Lihong Yin; Yuepu Pu; Xiaomei Zhang; Yan Zhang; Bo Shen; Geyu Liang
Journal:  Environ Sci Pollut Res Int       Date:  2018-04-05       Impact factor: 4.223

2.  Design of a Spark Big Data Framework for PM2.5 Air Pollution Forecasting.

Authors:  Dong-Her Shih; Thi Hien To; Ly Sy Phu Nguyen; Ting-Wei Wu; Wen-Ting You
Journal:  Int J Environ Res Public Health       Date:  2021-07-02       Impact factor: 3.390

3.  PM2.5 in Urban and Rural Nursery Schools in Upper Silesia, Poland: Trace Elements Analysis.

Authors:  Anna Mainka; Elwira Zajusz-Zubek; Konrad Kaczmarek
Journal:  Int J Environ Res Public Health       Date:  2015-07-14       Impact factor: 3.390

4.  Curcumin pretreatment protects against PM2.5‑induced oxidized low‑density lipoprotein‑mediated oxidative stress and inflammation in human microvascular endothelial cells.

Authors:  Jun Shi; Huiping Deng; Min Zhang
Journal:  Mol Med Rep       Date:  2017-07-06       Impact factor: 2.952

Review 5.  Indoor air quality in public utility environments-a review.

Authors:  Monika Śmiełowska; Mariusz Marć; Bożena Zabiegała
Journal:  Environ Sci Pollut Res Int       Date:  2017-02-24       Impact factor: 4.223

6.  Source Apportionment and Influencing Factor Analysis of Residential Indoor PM2.5 in Beijing.

Authors:  Yibing Yang; Liu Liu; Chunyu Xu; Na Li; Zhe Liu; Qin Wang; Dongqun Xu
Journal:  Int J Environ Res Public Health       Date:  2018-04-05       Impact factor: 3.390

7.  Effect of PM2.5 on invasion and proliferation of HeLa cells and the expression of inflammatory cytokines IL-1 and IL-6.

Authors:  Kaiqing Huang; Wenxiang Li; Yanhong Chen; Jinyan Zhu
Journal:  Oncol Lett       Date:  2018-09-27       Impact factor: 2.967

8.  Selection of metric for indoor-outdoor source apportionment of metals in PM2.5 : mg/kg versus ng/m3.

Authors:  Pat E Rasmussen; Christine Levesque; Owen Butler; Marc Chénier; H David Gardner
Journal:  Indoor Air       Date:  2021-08-21       Impact factor: 6.554

9.  Polycyclic aromatic hydrocarbons in PM1, PM2.5 and PM10 atmospheric particles: identification, sources, temporal and spatial variations.

Authors:  Faezeh Jahedi; Hassan Dehdari Rad; Gholamreza Goudarzi; Yaser Tahmasebi Birgani; Ali Akbar Babaei; Kambiz Ahmadi Angali
Journal:  J Environ Health Sci Eng       Date:  2021-04-02

10.  Human Inhalation Exposure to Aerosol and Health Effect: Aerosol Monitoring and Modelling Regional Deposited Doses.

Authors:  Hyeon-Ju Oh; Yoohan Ma; Jongbok Kim
Journal:  Int J Environ Res Public Health       Date:  2020-03-16       Impact factor: 3.390

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.