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Titel: Investigation of the Synergistic Toxicity of Binary Mixtures of Pesticides and Pharmaceuticals on Aliivibrio fischeri in Major River Basins in South Korea
VerfasserIn: Baek, In-Hyuk
Kim, Youngjun
Baik, Seungyun
Kim, Jongwoon
Sprache: Englisch
Titel: International Journal of Environmental Research and Public Health
Bandnummer: 16
Heft: 2
Verlag/Plattform: MDPI
Erscheinungsjahr: 2019
Freie Schlagwörter: mixture toxicity
concentration addition
pesticide
pharmaceuticals
AliiVibrio fischeri
DDC-Sachgruppe: 570 Biowissenschaften, Biologie
Dokumenttyp: Journalartikel / Zeitschriftenartikel
Abstract: This work introduces the potential synergistic toxicity of binary mixtures of pesticides and pharmaceuticals, which have been detected in substantial amounts in major river basins in South Korea. Different dose-response curve functions were employed in each experimental toxicity dataset for AliiVibrio fischeri. We tested the toxicity of 30 binary mixtures at two effect concentrations: high effect concentration [EC50] and low effect concentration (EC10) ranges. Thus, the toxicological interactions were evaluated at 60 effected concentration data points in total and based on model deviation ratios (MDRs) between predicted and observed toxicity values (e.g., three types of combined effects: synergistic (MDR > 2), additive (0.5 ≤ MDR ≤ 2), and antagonistic (MDR < 0.5)). From the 60 data points, MDRs could not be applied to 17 points, since their toxicities could not be measured. The result showed 48%-additive (n = 20), 40%-antagonistic (n = 17), and 12%-synergistic (n = 6) toxicity effects from 43 binaries (excluding the 17 combinations without MDRs). In this study, EC10 ratio mixtures at a low overall effect range showed a general tendency to have more synergistic effects than the EC50 ratio mixtures at a high effect range. We also found an inversion phenomenon, which detected three binaries of the combination of synergism at low concentrations and additive antagonism at high concentrations.
DOI der Erstveröffentlichung: 10.3390/ijerph16020208
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-277671
hdl:20.500.11880/30115
http://dx.doi.org/10.22028/D291-27767
ISSN: 1661-7827
Datum des Eintrags: 1-Dez-2020
Bezeichnung des in Beziehung stehenden Objekts: Supplementary Materials
In Beziehung stehendes Objekt: http://www.mdpi.com/1660-4601/16/2/208/s1
Fakultät: ZE - Zentrale Einrichtungen
Fachrichtung: ZE - Zentrum für Bioinformatik(ZBI)
Professur: ZE - Sonstige
Sammlung:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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