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Evaluation of organochlorine pesticides in breast milk samples in Turkey applying features of the partial order technique

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Exposure data to organochlorine pesticides (OCPs) of mothers’ breast milk samples were measured in different locations in the Taurus Mountains/Turkey. Villages at five altitudes were looked upon. The data analysis method applied is the Hasse diagram technique, based on Discrete Mathematics. For each of the five regions, one Hasse diagram was calculated and showed the same maximal object, namely, p-p'-Dichlorodiphenyldichloroethane (DDE). In a further data investigation step, we performed the similarity analyses of the locations in order to quantify the similarities and incomparabilities. It was revealed that no correlation exists between most altitudes and the pattern of contamination of breast milk samples. The two lowest situated areas, Sahil at sea level and Ciftlikköy at 121 m above sea level were similar. We reduced the datasets by applying the interval analysis followed by similarity analyses. We observed that endrin (END1), mirex (MIRE), and pentachlorobenzene (PECB) reduce most severely the similarity.
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Keywords: Turkey; breast milk; environmental health data; organochlorine pesticides (OCP); partially ordered sets

Document Type: Research Article

Affiliations: 1: Helmholtz Zentrum Muenchen, Institute of Biomathematics and Biometry, Ingolstaedter Landstr. 1 Neuherberg, 85764, Germany 2: Leibniz-Institute of Fresh Water Ecology and Inland Fisheries, Berlin, 12587, Germany 3: Faculty of Pharmacy, Department of Toxicology, Gazi University, Ankara, 06330, Turkey 4: Department of Biology, University of Mersin, Mersin, 33363, Turkey 5: Department of Environmental Engineering, University of Mersin, Mersin, 33363, Turkey 6: Faculty of Agriculture, Adnan Menderes University, Aydin, 09100, Turkey 7: Helmholtz Zentrum Muenchen, Molecular Exposomics, Neuherberg, 85764, Germany

Publication date: June 1, 2013

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