Registration Dossier

Administrative data

Endpoint:
sediment toxicity: long-term
Type of information:
(Q)SAR
Adequacy of study:
key study
Study period:
2019
Reliability:
2 (reliable with restrictions)
Rationale for reliability incl. deficiencies:
results derived from a valid (Q)SAR model and falling into its applicability domain, with adequate and reliable documentation / justification
Justification for type of information:
Detailed information covering the calculation model, compositional data used as input, validity, applicability and adequacy of the result are in the attached document. The registered substance is a complex mixture whose constituents within the mixture have variable physicochemical properties. Therefore, a modeling framework is needed to account for the bioavailability of the constituents in the mixture, which was then used to predict the toxicity of the substance as a whole.
The target lipid model (TLM) is a framework that relates toxicity to the physicochemical properties of a nonpolar organic constituent. The TLM, and HC5, have been applied to soils and sediment using equilibrium partitioning (EqP) model. This framework utilizes organic carbon partition coefficients (KOC) to convert aquatic based effect levels (CW) to bulk soil- and sediment-based effect levels. The combined TLM-EqP framework was validated previously for soil and sediment acute and chronic toxicity endpoints. The constituents in this substances are within the scope of the TLM and EqP frameworks.

Data source

Referenceopen allclose all

Reference Type:
publication
Title:
Refinement and validation of TLM-derived HC5 values. Independent review.
Author:
McGrath JA, Di Toro DM, Fanelli CJ
Year:
2015
Bibliographic source:
HDR, Mahwah, NJ
Reference Type:
publication
Title:
Extension and validation of the target lipid model for deriving predicted no-effect concentrations for soils and sediments
Author:
Redman AD, Parkerton TF, Paumen ML, McGrath JA, den Haan K, DiToro DM
Year:
2014
Bibliographic source:
Envrionmental Toxicology and Chemistry Vol. 33, No. 12, pp. 2679-2687 (2014)
Reference Type:
publication
Title:
Unnamed
Year:
1991

Materials and methods

Principles of method if other than guideline:
The target lipid model (2015) as described in the cited reference was used to determine aquatic effect levels following an estimation of initial loading of the registered substance and its constituents in the substrate. A full explanation of the calculation method is provided in the 'attached justification'. For model description and justification of QSAR prediction: see fields 'justification for type of information' and 'attached justification'

Test material

Reference
Name:
Unnamed
Specific details on test material used for the study:
The registered substance is a UVCB substance consisting of a number of hydrocarbons and oxygenated hydrocarbon components, covering a wide range of carbon numbers and structures. The relevant components were determined based on the best available analytical data and process knowledge (see dossier sections 1.2 Composition and 1.4 Analytical methods). The representative structures and relative mass balance for each group of constituents are presented in the attached document.

Test organisms

Test organisms (species):
Lumbriculus variegatus

Results and discussion

Effect concentrationsopen allclose all
Duration:
28 d
Dose descriptor:
LC50
Effect conc.:
2.88 mg/kg sediment dw
Nominal / measured:
nominal
Conc. based on:
test mat.
Basis for effect:
mortality
Duration:
28 d
Dose descriptor:
EC10
Effect conc.:
0.576 mg/kg sediment dw
Nominal / measured:
nominal
Conc. based on:
test mat.
Basis for effect:
biomass
Remarks:
reproduction
Remarks on result:
other: chronic endpoints were estimated using typical acute-to-chronic ratio of 5

Applicant's summary and conclusion

Conclusions:
(Q)SAR estimations resulted in a LC50 value of 2.88 mg/kg dw and an EC10 of 0.576 mg/kg dw for Lumbriculus variegatus (sediment blackworm).
Executive summary:

The registered substance is a complex mixture whose constituents within the mixture have variable physicochemical properties. Therefore, a modeling framework is needed to account for the bioavailability of the constituents in the mixture, which was then used to predict the toxicity of the substance as a whole.  The target lipid model (TLM) and HC5, have been applied to soils and sediment using equilibrium partitioning (EqP) model. Further, an exposure assessment was performed using representative constituents, and RCR values of the individual constituents were summed to estimate the RCR values for the registered substance. RCR values below 1 were safely achieved for soil, freshwater and marine sediments, indicating a low level of risk to these environmental compartments. As such, modeled data are considered fit for purpose.