Details zur Publikation

Kategorie Textpublikation
Referenztyp Zeitschriften
DOI 10.1007/s11869-016-0396-1
Volltext Shareable Link
Titel (primär) Long-term indoor VOC concentrations assessment a trend analysis of distribution, disposition, and personal exposure in cohort study samples
Autor Wissenbach, D.K.; Winkler, B.; Otto, W.; Kohajda, T.; Roeder, S. ORCID logo ; Müller, A.; Hoeke, H.; Matysik, S.; Schlink, U. ORCID logo ; Borte, M.; Herbarth, O.; Lehmann, I.; von Bergen, M.
Quelle Air Quality, Atmosphere and Health
Erscheinungsjahr 2016
Department IMMU; SUSOZ; STUDIEN; MOLSYB
Band/Volume 9
Heft 8
Seite von 941
Seite bis 950
Sprache englisch
Keywords VOC; Indoor air; Trend; Cohort study; Disposition
UFZ Querschnittsthemen RU3;
Abstract Inhalation is one of the entry ports for different chemicals into the human body. In order to investigate this application route and its negative health effect to humans, the presence of volatile organic compounds (VOCs) in indoor air is monitored since many years. To assess global trends and changes of the distribution and disposition of VOCs and the corresponding personal exposure, this study analyzed annual indoor air concentrations collected over a period of 9 (2006–2014) years in the context of a birth control cohort study of 72 VOCs. Additionally, Short Time-series Expression Model (STEM) was used to identify certain correlation for VOCs from different compound classes. For ~42 % of the compounds, a tendency to lower annual median indoor air concentrations was found, and for ~10 % of the VOCs, a trend to higher annual median indoor air concentrations. No such tendencies were observed for ~22 % of the investigated compounds. For ~26 % of the VOCs, the applied linear regression model was not suitable to predict global trends as annual median values were not linearly distributed. Mann-Kendall test was used to (i) confirm the results from the linear regression model and to (ii) calculate trends for those compounds, where linear regression was found to be unsuitable. Thus, for only approximately four of the investigated VOCs, no prediction was possible using both statistical approaches. STEM analysis revealed the connection of benzene, ethylbenzene, m+p xylene, α-pinene, 3-carene, pentadecane, and decamethlycyclopentasiloxane, in addition to the correlation of 1-butanol, chlorobenzene, heptanal, and 2-ethyl-1-hexanol concentrations.
dauerhafte UFZ-Verlinkung https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=17153
Wissenbach, D.K., Winkler, B., Otto, W., Kohajda, T., Roeder, S., Müller, A., Hoeke, H., Matysik, S., Schlink, U., Borte, M., Herbarth, O., Lehmann, I., von Bergen, M. (2016):
Long-term indoor VOC concentrations assessment a trend analysis of distribution, disposition, and personal exposure in cohort study samples
Air Qual. Atmos. Health 9 (8), 941 - 950