But-1-ene

Sediment toxicity

Administrative data

Endpoint:

sediment toxicity: long-term

Type of information:

(Q)SAR

Adequacy of study:

key study

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 (Attached justification).
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 registered substance is within the scope of the TLM and EqP frameworks.

Data source

Reference

Reference 1

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 2

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:

Environmental Toxicology and Chemistry, 33: 12, pp. 2679-2687.

Reference 3

Reference Type:

publication

Title:

Technical basis for establishing sediment quality criteria for nonionic organic chemicals using equilibrium partitioning.

Author:

Di Toro DM, Zarba CS, Hansen DJ, Berry WJ, Swartz RC, Cowan CE, Pavlou SP, Allen HE, Thomas NA, Paquin PR.

Year:

1991

Bibliographic source:

Environmental toxicology and chemistry,10, pp. 1541-1583.

Materials and methods

Test guideline

Qualifier:

no guideline required

Principles of method if other than guideline:

The target lipid model (McGrath et el., 2015) and equilibrium partitioning model (Redman et al., 2014) as described in the cited references were used to determine sediment effect levels of the registered substance. A detailed explanation of the calculation method is provided in the 'Attached justification'.
For detailed model description and justification of QSAR prediction: see fields 'Justification for type of information' and 'Attached justification'.

GLP compliance:

no

Test material

Test material information

Constituent 1

Reference substance name:

But-1-ene

EC Number:

203-449-2

EC Name:

But-1-ene

Cas Number:

106-98-9

Molecular formula:

C4H8

IUPAC Name:

but-1-ene

Test material form:

gas

Details on test material:

- Name of test material (as cited in study report): butene-1
- Analytical purity: 99.88% (by mass spectrometer)
- Boiling point: -6°C

Specific details on test material used for the study:

NA

Sampling and analysis

Analytical monitoring:

not required

Test organisms

Test organisms (species):

Lumbriculus variegatus

Study design

Study type:

other: (Q)SAR

Results and discussion

Effect concentrations

Effect concentrations 1

Duration:

28 d

Dose descriptor:

other: EL50

Effect conc.:

48.374 mg/kg sediment dw

Nominal / measured:

nominal

Conc. based on:

test mat.

Basis for effect:

mortality

Effect concentrations 2

Duration:

28 d

Dose descriptor:

other: EL10

Effect conc.:

9.267 mg/kg sediment dw

Nominal / measured:

nominal

Conc. based on:

test mat.

Basis for effect:

reproduction

Remarks:

biomass

Applicant's summary and conclusion

Validity criteria fulfilled:

yes

Executive summary:

The registered substance is highly volatile which complicates environmental testing. Therefore, a modeling framework is needed to account for the bioavailability of the substance to perform read-across and data gap filling. The TLM-EqP modeling has been validated as a suitable method for predicting effect values in sediment and soil organisms. The TLM-EqP predicted effect values (28-days) for butene were 48.374 and 9.267 mg/kg sediment dw for short-term (EL50) and long-term effects (EL10), respectively.