datasets

RDF version of the supplementary data from Shin, Hyun Kil and Seo et al. Meta-analysis of Daphnia magna nanotoxicity experiments in accordance with test guidelines (2018)

Original Study Abstract

Ecotoxicological assays have examined the risk of nanoparticles (NPs) to Daphnia magna (D. magna). However, significant inconsistencies in assay results have been found among studies conducted according to D. magna test guidelines (TGs) issued from the OECD (Organization for Economic Co-operation and Development) and US EPA (United States Environmental Protection Agency). Moreover, the inconsistencies have not yet been explained as a diverse range of factors may cause heterogeneity in the assay results. Here, a meta-analysis was performed to identify the causes of these inconsistencies. Data from experimental studies were collected when they were in accordance with TGs. A dataset was compiled by extracting the physicochemical properties of NPs, the experimental conditions of the assays, and the measured toxicities to D. magna. In total, 882 data points (NPs per set of experimental conditions) were obtained from 83 publications. Meta-analyses revealed that the toxicity of NPs was higher than that of non-NPs (TEM diameter >200 nm), and the toxicity of non-coated NPs did not correlate with the TEM diameter of NPs. In addition, the dataset was divided into four classes according to the state of the NPs, including metal oxide, metal, coated metal, and carbon nanomaterials, and a prediction model was developed for each class using a support vector machine to identify the features that influenced toxicity. Dispersion methods were identified as the most important experimental conditions that explained inconsistencies in results as they explained the most variation in the model. Therefore, dispersion methods for NPs may need to be adjusted in the TGs to reduce the heterogeneity in toxicity assay results for NPs. [Source: http://dx.doi.org/10.1039/C7EN01127J]

Data Sample

Sample Reference NP Source NP Type NP Core Diam. (mean) (nm) Diam. (max) (nm) Diam. (min) (nm) Length (average) (µm) Length (max) (µm) Length (min) (µm) MW (Dalton) Density (g/L) Dispersity (original) Hydrodynamic Size Dispersity (water) Surface Area (m2/g) Agg. (mean) (nm) Agg. (max) (nm) Agg. (min) (nm) Zeta Potential (mV) Image Shape Purity (%) Coating Coating Material Crystalline Centrifuge Stir Stirring Stirring Rate Sonication Sonication2 Sonication Freq. Filter Solubilization Media Maximal Dose Minimal Dose Dissolved Cation (mg/L or %) pH Exposure Time Exposure Day Water Materials in Water Conc. of Materials Number of Daphina Daphnia (hour old) Test Solution (mL) Container (mL) Repeating Number RPM Food Menu Food Concentration (cells/mL) Test Solution Renewer (day) Temperature (℃) Radiation (m) EC50 EC UL EC LL Immobilisation Rate Immobilisation Concentration LC50 LC UL LC LL Mortality Mortality Concentration Others feature
1 1 in house MeOx CeO2 6.5                             11.5 1 sphere   0 hexamethylenetetramine                           9 48 2 ASTM hard water     10 24 20 50 3 0 0           12 11 15 50 12           단위 환산 error, water condition, LC -> EC
2 1 in house MeOx TiO2 7.5                             -42.5 1 rod   0 tetramethylammonium hydroxide                           10 48 2 ASTM hard water     10 24 20 50 3 0 0           16 13 20 50 16           단위 환산 error, water condition, LC -> EC
3 1 in house MeOx Fe3O4 6                             -58.4 1 sphere   0 tetramethylammonium hydroxide                           10 48 2 ASTM hard water     10 24 20 50 3 0 0           0.23 0.17 0.38 50 0.23           단위 환산 error, water condition, LC -> EC
4 2 Nanjing high technology NANO Co., LTD MeOx ZnO 20                               0   99.6 0       1               5 0.01     48 2 ISO water     10 24 30 100 6 140 0       23   0.622 0.805 0.411 0.5 0.622 1.511 2.108 1.12 50 1.511 bulk, carbon data 추가, 단위 환산 error, water condition
5 2 Third chemical regent factory of Tianjin MeOx ZnO 1000                               0   99 0       1               5 0.01     48 2 ISO water     10 24 30 100 6 140 0       23   0.481 0.667 0.301 0.5 0.481 1.25 1.848 0.985 50 1.25 bulk, carbon data 추가, 단위 환산 error, water condition