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Combination of a Fast Cleanup Procedure and a DR-Calux® Bioassay for Dioxin Surveillance in Taiwanese Soils

Bibliographic Data

ID15500801
AuthorsDing-Yan Lin (National Pingtung University of Science and Technology), Yi-Pin Lee (Environmental Protection Administration), Chiu-Ping Li (Environmental Protection Administration), Kai Hsien (0000-0002-7615-7122, National Yang Ming Chiao Tung University), Kai-Hsien Chi (National Yang Ming University), Bo-Wei Liang (Laboratoire de Théorie du Droit), Wen-Yao Liu (National Taiwan University), Chih-Cheng Wang (0009-0009-3380-8712, MWH Americas Inc., Taiwan Branch, Daan Dist., Taipei City 106, Taiwan), Susana Lin (National Pingtung University of Science and Technology), Ting-Chien Chen (National Pingtung University of Science and Technology), Kuei-Jyum C Yeh (National Pingtung University of Science and Technology), Kuei-Jyum Yeh (National Pingtung University of Science and Technology), Ping‐Chi Hsu (0000-0003-2562-1463, National Kaohsiung First University of Science and Technology), Ping-Chi Hsu (National Kaohsiung First University of Science and Technology), Yi-Chyun Hsu (Kun Shan University), How‐Ran Chao (0000-0001-6492-6417, National Pingtung University of Science and Technology, corresponding author), Tsui‐Chun Tsou (0000-0003-3546-9901, National Health Research Institutes), Tsui-Chun Tsou (National Health Research Institutes)
Year2014
Volume11
Issue5
Pages4886-4904
Publication date2014-05-06
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph110504886
PMID24806195
PMCIDPMC4053921
OpenAlexW1970950995
LanguageEN
References cited52

Our goal was to determine dioxin levels in 800 soil samples collected from Taiwan. An in vitro DR-CALUX® assay was carried out with the help of an automated Soxhlet system and fast cleanup column. The mean dioxin level of 800 soil samples was 36.0 pg-bioanalytical equivalents (BEQs)/g dry weight (d.w.). Soil dioxin-BEQs were higher in northern Taiwan (61.8 pg-BEQ/g d.w.) than in central, southern, and eastern Taiwan (22.2, 24.9, and 7.80 pg-BEQ/g d.w., respectively). Analysis of multiple linear regression models identified four major predictors of dioxin-BEQs including soil sampling location (β = 0.097, p < 0.001), land use (β = 0.065, p < 0.001), soil brightness (β = 0.170, p < 0.001), and soil moisture (β = 0.051, p = 0.020), with adjusted R2 = 0.947 (p < 0.001) (n = 662). An univariate logistic regression analysis with the cut-off point of 33.4 pg-BEQ/g d.w. showed significant odds ratios (ORs) for soil sampling location (OR = 2.43, p < 0.001), land use (OR = 1.47, p < 0.001), and soil brightness (OR = 2.83, p = 0.009). In conclusion, four variables, including soil sampling location, land use, soil brightness, and soil moisture, may be related to soil-dioxin contamination. Soil samples collected in northern Taiwan, and especially in Bade City, soils near industrial areas, and soils with darker color may contain higher dioxin-BEQ levels

Soil test · Soil water · Chemistry · Effects and risks of endocrine disrupting chemicals · Environmental Justice and Health Disparities · Environmental Science · Toxic Organic Pollutants Impact · Environmental Chemistry · Soil Science

Citation velocityhistorical
Highly citedNo

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