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Baysal A, Saygin H, Soyocak A, Onat B. Year-long and seasonal differences of PM 2.5 chemical characteristics and their role in the viability of human lung epithelial cells (A549). JOURNAL OF ENVIRONMENTAL SCIENCE AND HEALTH. PART A, TOXIC/HAZARDOUS SUBSTANCES & ENVIRONMENTAL ENGINEERING 2024; 59:261-272. [PMID: 38952018 DOI: 10.1080/10934529.2024.2370680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 06/17/2024] [Accepted: 06/17/2024] [Indexed: 07/03/2024]
Abstract
Fine particulate matters-PM2.5 in the air can have considerable negative effects on human health and the environment. Various human cell-based studies examined the effect of PM2.5 on human health in different cities of the world using various chemical parameters. Unfortunately, limited information is available regarding the relationship between toxicity and chemical characteristics of PM2.5 collected in Istanbul, Türkiye, located in one of the most populated cities in the world. To investigate the chemical characteristics and cytotoxicity of PM2.5 in Istanbul, samples were collected for 12 months, then potentially toxic metals, oxidative potential, and particle indicators (e.g., functional groups and elements) were determined, and the cytotoxicity of PM2.5 on human A549 lung alveolar epithelial cells was examined. The mean PM2.5 mass concentration was 24.0 ± 17.4 µg m-3 and higher in cold months compared to other seasons. Moreover, the results of the metals, elemental, and functional groups indicated that seasonal and monthly characteristics were influenced by the regional anthropogenic sources and photochemistry input. The cytotoxicity results also showed that the viability of A549 cells was reduced with the exposure of PM2.5 (30-53%) and higher cytotoxicity was obtained in summer compared to the other seasons due to the impact of the metals, elements, and oxidative characteristics of PM2.5.
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Affiliation(s)
- Asli Baysal
- Chemistry Department, Science and Letters Faculty, Istanbul Technical University, Istanbul, Turkey
| | - Hasan Saygin
- Application and Research Center for Advanced Studies, Istanbul Aydin University, Istanbul, Turkey
| | - Ahu Soyocak
- Medical Biology Department, Medical Faculty, Istanbul Aydin University, Istanbul, Turkey
| | - Burcu Onat
- Environmental Engineering Department, Engineering Faculty, Istanbul University-Cerrahpasa, Istanbul, Turkey
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Dey S. Impact of Air Pollution on Child Health in India and the Way Forward. Indian Pediatr 2022. [PMID: 35695140 PMCID: PMC9253235 DOI: 10.1007/s13312-022-2532-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Recent research in epidemiological modelling reveals that air pollution affects child health in various ways resulting in low birthweight, stillbirth, preterm birth, developmental delay, growth failure, poor respiratory and cardiovascular health, and a higher risk of anemia. India has embarked on the national clean air program, but a much stronger coordinated multi-sectoral approach is required to minimize the child health burden caused by air pollution. Air pollution should be treated as a public health crisis that can only be managed with policy backed by science, gradual transition to clean energy use, emission reduction supported by clean air technologies, long-term commitment from the Government, and cooperation of the citizens.
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Kumar P, Kalaiarasan G, Porter AE, Pinna A, Kłosowski MM, Demokritou P, Chung KF, Pain C, Arvind DK, Arcucci R, Adcock IM, Dilliway C. An overview of methods of fine and ultrafine particle collection for physicochemical characterisation and toxicity assessments. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 756:143553. [PMID: 33239200 DOI: 10.1016/j.scitotenv.2020.143553] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2020] [Revised: 10/08/2020] [Accepted: 11/02/2020] [Indexed: 06/11/2023]
Abstract
Particulate matter (PM) is a crucial health risk factor for respiratory and cardiovascular diseases. The smaller size fractions, ≤2.5 μm (PM2.5; fine particles) and ≤0.1 μm (PM0.1; ultrafine particles), show the highest bioactivity but acquiring sufficient mass for in vitro and in vivo toxicological studies is challenging. We review the suitability of available instrumentation to collect the PM mass required for these assessments. Five different microenvironments representing the diverse exposure conditions in urban environments are considered in order to establish the typical PM concentrations present. The highest concentrations of PM2.5 and PM0.1 were found near traffic (i.e. roadsides and traffic intersections), followed by indoor environments, parks and behind roadside vegetation. We identify key factors to consider when selecting sampling instrumentation. These include PM concentration on-site (low concentrations increase sampling time), nature of sampling sites (e.g. indoors; noise and space will be an issue), equipment handling and power supply. Physicochemical characterisation requires micro- to milli-gram quantities of PM and it may increase according to the processing methods (e.g. digestion or sonication). Toxicological assessments of PM involve numerous mechanisms (e.g. inflammatory processes and oxidative stress) requiring significant amounts of PM to obtain accurate results. Optimising air sampling techniques are therefore important for the appropriate collection medium/filter which have innate physical properties and the potential to interact with samples. An evaluation of methods and instrumentation used for airborne virus collection concludes that samplers operating cyclone sampling techniques (using centrifugal forces) are effective in collecting airborne viruses. We highlight that predictive modelling can help to identify pollution hotspots in an urban environment for the efficient collection of PM mass. This review provides guidance to prepare and plan efficient sampling campaigns to collect sufficient PM mass for various purposes in a reasonable timeframe.
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Affiliation(s)
- Prashant Kumar
- Global Centre for Clean Air Research (GCARE), Department of Civil and Environmental Engineering, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford GU2 7XH, United Kingdom; Department of Civil, Structural & Environmental Engineering, Trinity College Dublin, Dublin, Ireland.
| | - Gopinath Kalaiarasan
- Global Centre for Clean Air Research (GCARE), Department of Civil and Environmental Engineering, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford GU2 7XH, United Kingdom
| | - Alexandra E Porter
- Department of Materials, Imperial College London, South Kensington, London SW7 2AZ, United Kingdom
| | - Alessandra Pinna
- Department of Materials, Imperial College London, South Kensington, London SW7 2AZ, United Kingdom
| | - Michał M Kłosowski
- Department of Materials, Imperial College London, South Kensington, London SW7 2AZ, United Kingdom
| | - Philip Demokritou
- Center for Nanotechnology and Nanotoxicology, Department of Environmental Health, T.H. Chan School of Public Health, Harvard University, 665 Huntington Avenue, Room 1310, Boston, MA 02115, USA
| | - Kian Fan Chung
- National Heart & Lung Institute, Imperial College London, London SW3 6LY, United Kingdom
| | - Christopher Pain
- Department of Earth Science & Engineering, Imperial College London, London SW7 2AZ, United Kingdom
| | - D K Arvind
- Centre for Speckled Computing, School of Informatics, University of Edinburgh, Edinburgh, Scotland EH8 9AB, United Kingdom
| | - Rossella Arcucci
- Data Science Institute, Department of Computing, Imperial College London, London SW7 2BU, United Kingdom
| | - Ian M Adcock
- National Heart & Lung Institute, Imperial College London, London SW3 6LY, United Kingdom
| | - Claire Dilliway
- Department of Earth Science & Engineering, Imperial College London, London SW7 2AZ, United Kingdom
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