Benzoic acid, C9-11 , C10-rich, branched alkyl esters

Toxicity to terrestrial arthropods

Administrative data

Endpoint:

toxicity to non-target arthropods on inert substrate (NTA other than pollinators)

Type of information:

(Q)SAR

Adequacy of study:

key study

Study period:

2021

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 target lipid model (TLM) is a framework that relates toxicity to the physicochemical properties of a nonpolar organic constituent. The TLM has 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

Reference

Reference 1

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 2

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

Materials and methods

Principles of method if other than guideline:

The target lipid model (2015) and equilibrium partitioning model (2014) as described in the cited references were used to determine soil or sediment 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

Test material information

Constituent 1

Reference substance name:

-

EC Number:

421-090-1

EC Name:

-

Cas Number:

131298-44-7

Molecular formula:

C17H26O2

IUPAC Name:

undecyl benzoate

Constituent 2

Reference substance name:

isodecyl benzoate

IUPAC Name:

isodecyl benzoate

Details on test material:

Test material is commercial substance

Specific details on test material used for the study:

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 constituents are presented in the attached document.

Test organisms

Test organisms (species):

Folsomia candida

Animal group:

Collembola (soil-dwelling springtail)

Results and discussion

Effect concentrations

Effect concentrations 1

Duration:

28 d

Dose descriptor:

LC50

Effect conc.:

333 mg/kg soil dw

Nominal / measured:

nominal

Conc. based on:

test mat.

Basis for effect:

mortality

Effect concentrations 2

Duration:

28 d

Dose descriptor:

EC10

Effect conc.:

64 mg/kg soil dw

Nominal / measured:

nominal

Conc. based on:

test mat.

Basis for effect:

reproduction

Remarks on result:

other: chronic endpoints were estimated using typical acute-to-chronic ratio of 5

Applicant's summary and conclusion

Validity criteria fulfilled:

yes

Executive summary:

The target lipid model (TLM) has been applied to soils and sediment using equilibrium partitioning (EqP) model. Further, an exposure assessment was performed and 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.