Baek, In-Hyuk Kim, Youngjun Baik, Seungyun Kim, Jongwoon 2024-01-19T21:02:48Z 2024-01-19T21:02:48Z 2022-01-25 2019-01 1661-7827 https://pubs.kist.re.kr/handle/201004/120501 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. English MDPI Investigation of the Synergistic Toxicity of Binary Mixtures of Pesticides and Pharmaceuticals on Aliivibrio fischeri in Major River Basins in South Korea Article 10.3390/ijerph16020208 1 INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, v.16, no.2 INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 16 2 N scie ssci scopus 000459112100043 2-s2.0-85060021683 Environmental Sciences Public, Environmental & Occupational Health Environmental Sciences & Ecology Public, Environmental & Occupational Health Article CONCENTRATION ADDITION VIBRIO-FISCHERI WATER PREDICTABILITY CONTAMINANTS PREDICTION CHEMICALS MODELS mixture toxicity concentration addition pesticide pharmaceuticals Aliivibrio fischeri