IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2019i24p5043-d296506.html
   My bibliography  Save this article

Cytotoxicity Assessment of PM 2.5 Collected from Specific Anthropogenic Activities in Taiwan

Author

Listed:
  • Tuan Hung Ngo

    (Institute of Environmental and Occupational Health Sciences, National Yang Ming University, Taipei 112, Taiwan
    International Health Program, National Yang Ming University, Taipei 112, Taiwan)

  • Pei Chun Tsai

    (Institute of Environmental and Occupational Health Sciences, National Yang Ming University, Taipei 112, Taiwan)

  • Yune-Fang Ueng

    (Divisions of Basic Chinese Medicine, National Research Institute of Chinese Medicine, Taipei 112, Taiwan
    Institute of Medical Sciences, Taipei Medical University, Taipei 112, Taiwan)

  • Kai Hsien Chi

    (Institute of Environmental and Occupational Health Sciences, National Yang Ming University, Taipei 112, Taiwan)

Abstract

Fine particulate matter (PM 2.5 ) from different sources with different components have different health impact. In this research in Taiwan, composition and cytotoxicity of PM 2.5 from long-range transport event (LRT), traffic activity, and outdoor cooking at night market were studied. The PM 2.5 mass concentrations were 39.0 μg/m 3 during LRT, 42.9 μg/m 3 at traffic area, and 28.3 μg/m 3 at the night market. Traffic area had highest concentrations of PCDD/Fs (46.9 fg I-TEQ/m 3 ) when highest PAH concentrations of 3.57 BaPeq-ng/m 3 were found at night market area. One quarter of PM 2.5 mass at LRT and night market was constituted by water-soluble ion (26.02–28.93%). Road dust (represented by high concentration of Al and Ca) was the main contributor for metal element at traffic station whereas presence of natural salt (Na and Cl elements) was a marker of LRT and cooking activities. Cell viability reduced 9% after exposure to organic extracts of 0.316 μg of PM 2.5 from LRT and night market samples. 150% elevation of ROS production was observed after exposure with organic compound of night market samples at the dose equivalent to 10.0 μg PM 2.5 . Organic extracts from night market induced positive genotoxicity in umu test (at a dose of 20.0 μg PM 2.5 ).

Suggested Citation

  • Tuan Hung Ngo & Pei Chun Tsai & Yune-Fang Ueng & Kai Hsien Chi, 2019. "Cytotoxicity Assessment of PM 2.5 Collected from Specific Anthropogenic Activities in Taiwan," IJERPH, MDPI, vol. 16(24), pages 1-12, December.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:24:p:5043-:d:296506
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/24/5043/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/16/24/5043/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chang, Hsin-Li & Wu, Shun-Cheng, 2008. "Exploring the vehicle dependence behind mode choice: Evidence of motorcycle dependence in Taipei," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(2), pages 307-320, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nathaniel R. Fold & Mary R. Allison & Berkley C. Wood & Pham T. B. Thao & Sebastien Bonnet & Savitri Garivait & Richard Kamens & Sitthipong Pengjan, 2020. "An Assessment of Annual Mortality Attributable to Ambient PM 2.5 in Bangkok, Thailand," IJERPH, MDPI, vol. 17(19), pages 1-13, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chen, Ching-Fu & Lai, Wen-Tai, 2011. "The effects of rational and habitual factors on mode choice behaviors in a motorcycle-dependent region: Evidence from Taiwan," Transport Policy, Elsevier, vol. 18(5), pages 711-718, September.
    2. Chiu, Bing-yu, 2023. "Relationship between motorcycle travel and the built environment: Evidence from Taipei, Taiwan," Journal of Transport Geography, Elsevier, vol. 110(C).
    3. Singfat Chu, 2018. "Singapore’s Vehicle Quota System and its impact on motorcycles," Transportation, Springer, vol. 45(5), pages 1419-1432, September.
    4. Chen, Ching-Fu & Eccarius, Timo & Su, Pin-Chi, 2021. "The role of environmental concern in forming intentions for switching to electric scooters," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 129-144.
    5. Cheng, Yung-Hsiang & Chen, Ssu-Yun, 2015. "Perceived accessibility, mobility, and connectivity of public transportation systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 386-403.
    6. Cheng, Yung-Hsiang & Liu, Kuo-Chu, 2012. "Evaluating bicycle-transit users’ perceptions of intermodal inconvenience," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(10), pages 1690-1706.
    7. Lorena Cadavid & Kathleen Salazar-Serna, 2021. "Mapping the Research Landscape for the Motorcycle Market Policies: Sustainability as a Trend—A Systematic Literature Review," Sustainability, MDPI, vol. 13(19), pages 1-22, September.
    8. Yung-Hsiang Cheng, 2010. "Exploring passenger anxiety associated with train travel," Transportation, Springer, vol. 37(6), pages 875-896, November.
    9. Cheng, Yung-Hsiang & Chang, Yu-Hern & Lu, I.J., 2015. "Urban transportation energy and carbon dioxide emission reduction strategies," Applied Energy, Elsevier, vol. 157(C), pages 953-973.
    10. Hagen, Jonas Xaver & Pardo, CarlosFelipe & Valente, Johanna Burbano, 2016. "Motivations for motorcycle use for Urban travel in Latin America: A qualitative study," Transport Policy, Elsevier, vol. 49(C), pages 93-104.
    11. Nguyen, Son-Tung & Moeinaddini, Mehdi & Saadi, Ismaïl & Cools, Mario, 2024. "Applying a Bayesian network for modelling the shift from motorcycle to public transport use in Vietnam," Transportation Research Part A: Policy and Practice, Elsevier, vol. 183(C).
    12. Keemin Sohn & Jiyoung Yun, 2009. "Separation of car-dependent commuters from normal-choice riders in mode-choice analysis," Transportation, Springer, vol. 36(4), pages 423-436, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:16:y:2019:i:24:p:5043-:d:296506. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.