Tricyclo[8.2.2.24,7]hexadeca-1(12),4,6,10,13,15-hexaene

Water solubility

Link to relevant study record(s)

Reference

Reference 1

Endpoint:

water solubility

Type of information:

experimental study

Adequacy of study:

key study

Study period:

2016

Reliability:

1 (reliable without restriction)

Rationale for reliability incl. deficiencies:

guideline study

Qualifier:

according to guideline

Guideline:

EU Method A.6 (Water Solubility)

Qualifier:

according to guideline

Guideline:

OECD Guideline 105 (Water Solubility)

Qualifier:

according to guideline

Guideline:

EPA OPPTS 830.7840 (Water Solubility)

GLP compliance:

yes (incl. QA statement)

Type of method:

column elution method

Water solubility:

< 1.41 mg/L

Conc. based on:

test mat.

Temp.:

20 °C

pH:

5

Remarks on result:

not determinable

Remarks:

LOQ = 1.41 mg/L

Water solubility:

< 1.41 mg/L

Conc. based on:

test mat.

Temp.:

20 °C

pH:

7

Remarks on result:

not determinable

Remarks:

LOQ = 1.41 mg/L

Water solubility:

< 1.41 mg/L

Conc. based on:

test mat.

Temp.:

20 °C

pH:

9

Remarks on result:

not determinable

Remarks:

LOQ = 1.41 mg/L

Conclusions:

The solubility of dibenzetano in buffer water (pH 5, 7 and 9) was < 1.41 mg/L at 20 ± 0.5 °C.

Reference 2

Endpoint:

water solubility

Type of information:

(Q)SAR

Adequacy of study:

supporting study

Study period:

2017

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:

1. SOFTWARE
WSKOWWIN v1.42 (US EPA)

2. MODEL (incl. version number)
Estimation of water solubility from log octanol-water partition coefficient (log Kow).

3. SMILES OR OTHER IDENTIFIERS USED AS INPUT FOR THE MODEL
c(ccc(c1)CCc(ccc(c2)C3)c2)(c1)C3

4. SCIENTIFIC VALIDITY OF THE (Q)SAR MODEL
A complete description of the estimation methodology used by WSKOWWIN is available in two documents prepared for the U.S. Environmental Protection Agency, Office of Pollution Prevention and Toxics (Meylan and Howard, 1994a,b).
A journal article that describes the methodology is also available (Meylan et al., 1996). The WSKOWWIN program estimates the water solubility of an organic compound using the compounds log octanol-water partition coefficient (log Kow).
A database of more than 8400 compounds with reliably measured log Kow values had already been compiled from available sources.
Most experimental values were taken from a "star-list" compilation of Hansch and Leo (1985) that had already been critically evaluated (see also Hansch et al, 1995) or an extensive compilation by Sangster (1993) that includes many "recommended" values based upon critical evaluation. Other log Kow values were taken from sources located through the Environmental Fate Data Base (EFDB) system (Howard et al, 1982, 1986).
A few values were taken from Section 4a, 8d, and 8e submissions the to U.S. EPA under the Toxic Substances Control Act (see http://www.syrres.com/esc/tscats_info.htm).
Water solubilities were collected from the AQUASOL dATAbASETM of the University of Arizona (Yalkowsky and Dannenfelser, 1990), Syracuse Research Corporation's PHYSPROP© Database (SRC,1994), and sources located through the Environmental Fate Data Base (EFDB) system (Howard et al, 1982, 1986). Water solubilities were primarily constrained to the 20-25oC temperature range with 25oC being preferred.
A dataset of 1450 compounds (941 solids, 509 liquids) having reliably measured water solubility, logKow and melting point was used as the training set for developing the new estimation algorithms for water solubility. Standard linear regressions were used to fit water solubility (as log S) with log Kow, melting point and molecular weight.
Residual errors from the initial regression fit were examined for compounds sharing common structural features with relatively consistent errors. On that basis, 12 compound classes were initially identified and added to the regression to comprise a multi-linear regression including log Kow, melting point and/or molecular weight plus 12 correction factors. Each correction factor is counted a maximum of once per structure [if applicable], no matter how many times the applicable fragment occurs. For example, the nitro factor in 1,4-dinitrobenzene is counted just once.
A compound either contains a correction factor or it doesn't; therefore, the matrix for the multi-linear regression contained either a 0 or 1 for each correction factor. WSKOWWIN estimates water solubility for any compound with one of two possible equations.
The equations are equations 19 and 20 from Meylan and Howard (1994a) or equations 11 and 12 from the journal article (Meylan et al., 1996).
The equations are:

log S (mol/L) = 0.796 - 0.854 log Kow - 0.00728 MW + ΣCorrections

log S (mol/L) = 0.693 - 0.96 log Kow - 0.0092(Tm-25) - 0.00314 MW + ΣCorrections

(where MW is molecular weight, Tm is melting point (MP) in deg C [used only for solids]); ΣCorrections = Summation of Corrections.

When a measured MP is available, that equation is used; otherwise, the equation with just MW is used.
Melting points were collected from sources such as AQUASOL dATAbASETM, PHYSPROP©, and EDFB as well as the Handbook of Chemistry and Physics (Lide, 1990) and the Aldrich Catalog (Aldrich, 1992).

5. APPLICABILITY DOMAIN
The WSKOWWIN program applies an individual correction factor only once per structure [if at all] regardless of how many instances of the applicable structural feature occur in the structure.
The minimum number of instances is zero and the maximum is one.
Range of water solubilities in the Training set:
Minimum = 4 x 10-7 mg/L (octachlorodibenzo-p-dioxin)
Maximum = completely soluble (various)

Range of Molecular Weights in the Training set:
Minimum = 27.03 (hydrocyanic acid)
Maximum = 627.62 (hexabromobiphenyl)

Range of Log Kow values in the Training set:
Minimum = -3.89 (aspartic acid)
Maximum = 8.27 (decachlorobiphenyl)

Currently there is no universally accepted definition of model domain. However, users may wish to consider the possibility that water solubility estimates are less accurate for compounds outside the MW range, water solubility range and log Kow range of the training set compounds. It is also possible that a compound may have a functional group(s) or other structural features not represented in the training set, and for which no correction factor was developed. These points should be taken into consideration when interpreting model results.

6. ADEQUACY OF THE RESULT
The estimate value has been generated by a valid model. The model is applicable to Dibenzetano with the necessary level of reliability and is sufficiently relevant for the regulatory purpose.

Principles of method if other than guideline:

- Software tool(s) used including version: WSKOWWIN v1.42 (US EPA)
- Model(s) used: Estimation of water solubility from log octanol-water partition coefficient (log Kow).
- Model description: see field 'Justification for for type of information'
- Justification of QSAR prediction: see field 'Justification for type of information'

Water solubility:

0.01 mg/L

Temp.:

25 °C

Conclusions:

Estimated water solubility for Dibenzetano is 0.009872 mg/L at 25°C.

Additional information

The solubility of Dibenzetano in buffer water (pH 5, 7 and 9) was < LOQ (1.41 mg/L) at 20 ± 0.5 °C.

Estimated value for Dibenzetano water solubility is 0.009872 mg/L at 25°C.