Registration Dossier
Registration Dossier
Data platform availability banner - registered substances factsheets
Please be aware that this old REACH registration data factsheet is no longer maintained; it remains frozen as of 19th May 2023.
The new ECHA CHEM database has been released by ECHA, and it now contains all REACH registration data. There are more details on the transition of ECHA's published data to ECHA CHEM here.
Diss Factsheets
Use of this information is subject to copyright laws and may require the permission of the owner of the information, as described in the ECHA Legal Notice.
EC number: 251-110-2 | CAS number: 32582-32-4
- Life Cycle description
- Uses advised against
- Endpoint summary
- Appearance / physical state / colour
- Melting point / freezing point
- Boiling point
- Density
- Particle size distribution (Granulometry)
- Vapour pressure
- Partition coefficient
- Water solubility
- Solubility in organic solvents / fat solubility
- Surface tension
- Flash point
- Auto flammability
- Flammability
- Explosiveness
- Oxidising properties
- Oxidation reduction potential
- Stability in organic solvents and identity of relevant degradation products
- Storage stability and reactivity towards container material
- Stability: thermal, sunlight, metals
- pH
- Dissociation constant
- Viscosity
- Additional physico-chemical information
- Additional physico-chemical properties of nanomaterials
- Nanomaterial agglomeration / aggregation
- Nanomaterial crystalline phase
- Nanomaterial crystallite and grain size
- Nanomaterial aspect ratio / shape
- Nanomaterial specific surface area
- Nanomaterial Zeta potential
- Nanomaterial surface chemistry
- Nanomaterial dustiness
- Nanomaterial porosity
- Nanomaterial pour density
- Nanomaterial photocatalytic activity
- Nanomaterial radical formation potential
- Nanomaterial catalytic activity
- Endpoint summary
- Stability
- Biodegradation
- Bioaccumulation
- Transport and distribution
- Environmental data
- Additional information on environmental fate and behaviour
- Ecotoxicological Summary
- Aquatic toxicity
- Endpoint summary
- Short-term toxicity to fish
- Long-term toxicity to fish
- Short-term toxicity to aquatic invertebrates
- Long-term toxicity to aquatic invertebrates
- Toxicity to aquatic algae and cyanobacteria
- Toxicity to aquatic plants other than algae
- Toxicity to microorganisms
- Endocrine disrupter testing in aquatic vertebrates – in vivo
- Toxicity to other aquatic organisms
- Sediment toxicity
- Terrestrial toxicity
- Biological effects monitoring
- Biotransformation and kinetics
- Additional ecotoxological information
- Toxicological Summary
- Toxicokinetics, metabolism and distribution
- Acute Toxicity
- Irritation / corrosion
- Sensitisation
- Repeated dose toxicity
- Genetic toxicity
- Carcinogenicity
- Toxicity to reproduction
- Specific investigations
- Exposure related observations in humans
- Toxic effects on livestock and pets
- Additional toxicological data
Adsorption / desorption
Administrative data
Link to relevant study record(s)
- Endpoint:
- adsorption / desorption: screening
- 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:
- 1. SOFTWARE
EPISuite (v4.11)
2. MODEL (incl. version number)
KOCWIN v2.00
3. SMILES OR OTHER IDENTIFIERS USED AS INPUT FOR THE MODEL
SMILES: OCC(CCCCCCCCCCCCCCCC)CCCCCCCCCCCCCC
CAS: 32582-32-4
4. SCIENTIFIC VALIDITY OF THE (Q)SAR MODEL
A reliable QSAR model was used to calculate the adsorption/desorption potential of 2-Tetradecyl-1-octadecanol. Koc values were calculated using the KOCWIN v2.00 module embedded within the EPISuite v4.11) computer model.
EPISuite and its modules (including KOCWIN) have been utilized by the scientific community for prediction of phys/chem properties and environmental fate and effect properties since the 1990’s. The program underwent a comprehensive review by a panel of the US EPA’s independent Science Advisory Board (SAB) in 2007. The SAB summarized that the EPA used sound science to develop and refine EPISuite. The SAB also stated that the property estimation routines (PERs) satisfy the Organization for Economic Cooperation and Development (OECD) principles established for quantitative structure-activity relationship ((Q)SAR) validation.
The EPISuite modules (including KOCWIN) have been incorporated into the OECD Toolbox. Inclusion in the OECD toolbox requires specific documentation, validation and acceptability criteria and subjects EPISuite to international use, review, providing a means for receiving additional and on-going input for improvements.
In summary, the EPISuite modules (including KOCWIN) have had their scientific validity established repeatedly.
- Defined endpoint and unambiguous algorithm:
KOCWIN estimates Koc with two separate estimation methodologies: (1) estimation using first-order Molecular Connectivity Index (MCI) and (2) estimation using log Kow (octanol-water partition coefficient).
The initial KOCWIN (version 1) model estimated Koc solely with a QSAR utilizing Molecular Connectivity Index (MCI). This QSAR estimation methodology is described completely in a journal article (Meylan et al, 1992) and in a report prepared for the US EPA (SRC, 1991). KOCWIN (version 2) utilizes the same methodology, but the QSAR has been re-regressed using a larger database of experimental Koc values that includes many new chemicals and structure types. Two separate regressions were performed. The first regression related log Koc of non-polar compounds to the first-order MCI.
A traditional method of estimating soil adsorption Koc involves correlations developed with log octanol-water partition coefficient (log Kow) (Doucette, 2000). Since an expanded experimental Koc database was available from the new MCI regression, it was decided to develop a log Kow estimation methodology that was potentially more accurate than existing log Kow QSARs for diverse structure datasets. Effectively, the new log Kow methodology simply replaces the MCI descriptor with log Kow and derives similar equations. The derivation uses the same training and validation data sets. The training set is divided into the same non-polar (no correction factors) and correction factor sets. The same correction factors are also used.
- Defined domain of applicability:
According to the KOCWIN documentation, there is currently no universally accepted definition of model domain. However, the documentation does provide information for reliability of the calculations. Estimates will possibly be less accurate for compounds that 1) have a MW outside the range of the training set compounds and 2) have a functional group(s) or other structural features not represented in the training set, and for which no fragment coefficient was developed; and that a compound has none of the fragments in the model’s fragment library.
- Appropriate measures of goodness-of-fit and robustness and predictivity:
KOCWIN calculated the Koc values based on the following equations:
Estimation Using MCI: log Koc = 0.5213 MCI + 0.60
Estimation Using Log Kow: log Koc = 0.8679 Log Kow - 0.0004
The KOCWIN model had the following statistics:
MCI Methodology (Training Set): number = 69 correlation coef (r2) = 0.967
MCI Methodology (Validation Set): number = 158 correlation coef (r2) = 0.850
log Kow Methodology (Training Set): number = 68 correlation coef (r2) = 0.877
log Kow Methodology (Validation Set): number = 150 correlation coef (r2) = 0.778
These correlation coefficients indicate the KOCWIN model calculates results that are equivalent to those generated experimentally and are, hence, adequate for the purpose of classification and labelling and/or risk assessment.
Overall, the MCI methodology is somewhat considered more accurate than the Log Kow methodology, although both methods yield good results. If the Training datasets are combined in to one dataset of 516 compounds (69 having no corrections plus 447 with corrections), the MCI methodology has an r2, standard deviation and average deviation of 0.916, 0.330 and 0.263, respectively, versus 0.86, 0.429 and 0.321 for the Log Kow methodology.
5. APPLICABILITY DOMAIN
As described above, according to the KOCWIN documentation, there is currently no universally accepted definition of model domain. In general, the intended application domain for all models embedded in EPISuite is organic chemicals. Specific compound classes, besides organic chemicals, require additional correction factors. Indicators for the general applicability of the KOCWIN model are the molecular weight of the target substance and the identification of functional group(s) or other structural features and their representation in the training set. The training set molecular weights are within the range of 32.04 – 665.02 with an average molecular weight of 224.4 (Validation set molecular weights: 73.14 – 504.12 and average of 277.8). The molecular weight of 2-Tetradecyloctadecan-1-ol is 466.88, which falls within the range of both, the training set and the validation set.
In addition, the functional group of 2-Tetradecyloctadecan-1-ol (Aliphatic Alcohol (-C-OH)) is represented in the training set and hence addressed by fragment correction.
--------------------------- KOCWIN v2.00 Results ---------------------------
Koc Estimate from MCI:
First Order Molecular Connectivity Index ........... : 16.346
Non-Corrected Log Koc (0.5213 MCI + 0.60) .......... : 9.1210
Fragment Correction(s): 1 Aliphatic Alcohol (-C-OH) ........... : -1.3179
Corrected Log Koc .................................. : 7.8031
Estimated Koc: 6.355e+007 L/kg
Koc Estimate from Log Kow:
Log Kow (Kowwin estimate) ......................... : 14.52
Non-Corrected Log Koc (0.55313 logKow + 0.9251) .... : 8.9565
Fragment Correction(s):
1 Aliphatic Alcohol (-C-OH) ........... : -0.4114
Corrected Log Koc .................................. : 8.5451
Estimated Koc: 3.508e+008 L/kg
As a result 2-Tetradecyloctadecan-1-ol would not be considered outside the estimation domain.
6. ADEQUACY OF THE RESULT
The Koc values were calculated as 6.355e+007 L/kg and 3.508e+008 L/kg L/kg based on Molecular Connectivity Index (MCI) and log Kow method, respectively. These results both indicate that 2-Tetradecyloctadecan-1-ol is immobile in soil. Considering the available experimental results for the category, these findings support the conclusion that the adsorption potential increases with increasing carbon chain length.
Hence, the KOCWIN predicted adsorption/desorption potential is considered valid and adequate for the purpose of risk assessment.
Documentation of the KOCWIN model is provided in the following references:
Doucette, W.J. 2000. Soil and sediment sorption coefficients. In: Handbook of Property Estimation Methods, Environmental and Health Sciences. R.S. Boethling & D. Mackay (Eds.), Boca Raton, FL: Lewis Publishers (ISBN 1 -56670 -456 -1).
Meylan, W., P.H. Howard and R.S. Boethling. 1992. Molecular topology/fragment contribution method for predicting soil sorption coefficients. Environ. Sci. Technol. 26: 1560 -1567.
McFarland, M. et al. 2007. “Science Advisory Board (SAB) Review of the Estimation Programs Interface Suite (EPI SuiteTM)”. SRC. 1991. Group Contribution Method for Predicting Soil Sorption Coefficients. William Meylan & Philip H. Howard, Syracuse Research Corporation (June 3, 1991). EPA Contract No. 68-D8-0117 (Work Assignment 2-19); SRC F0118-219 - Guideline:
- other: REACH Guidance on QSARs R.6
- Principles of method if other than guideline:
- Meylan, W., P.H. Howard and R.S. Boethling, "Molecular Topology/Fragment Contribution Method for Predicting Soil Sorption Coefficients", Environ. Sci. Technol. 26: 1560-7 (1992).
- Specific details on test material used for the study:
- SMILES: OCC(CCCCCCCCCCCCCCCC)CCCCCCCCCCCCCC
- Key result
- Type:
- Koc
- Value:
- 63 550 000 L/kg
- Remarks on result:
- other: estimate from MCI
- Key result
- Type:
- Koc
- Value:
- 350 800 000 L/kg
- Remarks on result:
- other: estimate from log Kow
- Executive summary:
.
Reference
KOCWIN v2.00 predicted that 2-tetradecyloctadecan-1-ol has a Koc > 1e+007 L/kg (6.355e+007 L/kg MCI method; 3.508e+008 L/kg logKow based method).
Description of key information
From QSAR calculation and the two studies provided for this endpoint it is expected that 2-tetradecyloctadecan-1-ol will be immobile in soils and sediment. However, according to a ready biodegradation study of Flach (2014) 2-tetradecyloctadecan-1-ol is readily biodegradable.
In conclusion, whilst the LCA may adsorb readily to sediment, sludge and soil, it will rapidly degrade. In addition, where a substance does sorb to sediment or soil, the substance will be readily degraded as it desorbs.Based on the evidence in section 5.2, 2-tetradecyloctatetradecan-1-ol is readily biodegradable and unlikely to persist in the environment.
Key value for chemical safety assessment
- Koc at 20 °C:
- 63 550 000
Additional information
KOCWIN v2.00 predicted that 2-tetradecyloctadecan-1-ol has a Koc > 1e+007 L/kg (6.355e+007 L/kg MCI method; 3.508e+008 L/kg logKow based method).
Information on Registered Substances comes from registration dossiers which have been assigned a registration number. The assignment of a registration number does however not guarantee that the information in the dossier is correct or that the dossier is compliant with Regulation (EC) No 1907/2006 (the REACH Regulation). This information has not been reviewed or verified by the Agency or any other authority. The content is subject to change without prior notice.
Reproduction or further distribution of this information may be subject to copyright protection. Use of the information without obtaining the permission from the owner(s) of the respective information might violate the rights of the owner.