Please use this identifier to cite or link to this item: doi:10.22028/D291-27767
Title: Investigation of the Synergistic Toxicity of Binary Mixtures of Pesticides and Pharmaceuticals on Aliivibrio fischeri in Major River Basins in South Korea
Author(s): Baek, In-Hyuk
Kim, Youngjun
Baik, Seungyun
Kim, Jongwoon
Language: English
Title: International Journal of Environmental Research and Public Health
Volume: 16
Issue: 2
Publisher/Platform: MDPI
Year of Publication: 2019
Free key words: mixture toxicity
concentration addition
pesticide
pharmaceuticals
AliiVibrio fischeri
DDC notations: 570 Life sciences, biology
Publikation type: Journal Article
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 of the first publication: 10.3390/ijerph16020208
Link to this record: urn:nbn:de:bsz:291--ds-277671
hdl:20.500.11880/30115
http://dx.doi.org/10.22028/D291-27767
ISSN: 1661-7827
Date of registration: 1-Dec-2020
Description of the related object: Supplementary Materials
Related object: http://www.mdpi.com/1660-4601/16/2/208/s1
Faculty: ZE - Zentrale Einrichtungen
Department: ZE - Zentrum für Bioinformatik(ZBI)
Professorship: ZE - Sonstige
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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