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Evaluation of organochlorine pesticides in breast milk samples in Turkey applying features of the partial order technique
Authors:Kristina Voigt  Rainer Bruggemann  Hagen Scherb  Ismet Cok  Birgül Mazmanci  M Ali Mazmanci
Institution: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
Abstract: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.
Keywords:organochlorine pesticides (OCP)  breast milk  environmental health data  partially ordered sets  Turkey
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