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EC number: 939-894-0 | CAS number: -
- 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
- Remarks:
- other: QSAR assessment using US EPA On-Line EPI Suite™ KOCWIN v2.00 model
- Type of information:
- calculation (if not (Q)SAR)
- Remarks:
- estimated by calculation
- Adequacy of study:
- key study
- Study period:
- November 2013
- Reliability:
- 2 (reliable with restrictions)
- Rationale for reliability incl. deficiencies:
- other: see 'Remark'
- Remarks:
- Validated QSAR calculation method, using EPIWIN suite, KOCWIN v2.00 model model. A QPRF is attached. The substance is recognised as part of the rulebase utilised by the EPI Suite model data set, and is in model Applicability Domain. Further details can be found within the appended report below or at http://www.epa.gov/oppt/exposure/pubs/episuite.htm. This system is recognised in ECHA Guidance document CHAPTER R.6 – QSARS AND GROUPING OF CHEMICALS, Pg 47
- Qualifier:
- no guideline followed
- Principles of method if other than guideline:
- The substance is a hydrocarbon UVCB. Standard tests for assessment of adsorption are intended for single substances and are not appropriate for this complex substance. It is unlikely that a study result would give anything other than a “greater than” limit value of the highest value available in the test. This endpoint is therefore characterized using quantitative structure property relationships for representative hydrocarbon structures that could be present within this UVCB substance. 70 proposed molecules are assessed, in order to provide a suitable range of likely values associated with the substance. Details on the KOCWIN v2.00 model programme are detailed below under "methods".
- GLP compliance:
- no
- Type of method:
- other: QSAR assessment using US EPA On-Line EPI Suite™ KOCWIN v2.00 model
- Media:
- other: QSAR assessment using US EPA On-Line EPI Suite™ KOCWIN v2.00 model
- Specific details on test material used for the study:
- Details on properties of test surrogate or analogue material (migrated information):Not applicable - QSAR assessment.
- Radiolabelling:
- no
- Test temperature:
- Not applicable - QSAR assessment.
- Details on study design: HPLC method:
- Not applicable - QSAR assessment.
- Analytical monitoring:
- not required
- Details on sampling:
- Not applicable - QSAR assessment.
- Details on matrix:
- Not applicable - QSAR assessment.
- Details on test conditions:
- Not applicable - QSAR assessment.
- Computational methods:
- The Soil Adsorption Coefficient Program (KOCWIN) estimates the soil adsorption coeffiecient (Koc) of organic compounds. Koc can be defined as "the ratio of the amount of chemical adsorbed per unit weight of organic carbon (oc) in the soil or sediment to the concentration of the chemical in solution at equilibrium" (Lyman, 1990); it is represented by the following equation (Lyman, 1990): Koc = (ug adsorbed/g organic carbon) / (ug/mL solution)The units of Koc are typically expressed as either L/kg or mL/g.Koc provides an indication of the extent to which a chemical partitions between solid and solution phases in soil, or between water and sediment in aquatic ecosystems. Estimated values of Koc are often used in environmental fate assessment because measurement of Koc is expensive. Traditional estimation methods rely upon the octanol/water partition coefficient or related parameters, but the first-order molecular connectivity index (MCI) has been used successfully to predict Koc values for hydrophobic organic compounds (Sabljic, 1984, 1987; Bahnick and Doucette, 1988). The original KOCWIN program (PCKOC) used MCI and a series of group contribution factors to predict Koc (Meylan et al., 1992). This group contribution method was shown to outperform traditional estimation methods based on octanol/water partition coefficients and water solubility. Since the introduction of the original PCKOC program in 1992, the number of available experimental Koc values has grown significantly. Using an expanded experimental dataset and the original PCKOC methodology, the QSAR equations were re-regressed to derive updated coefficient values. In addition, several new group contribution factors (correction factors) were added to improve estimation accuracy. Also, the updated KOCWIN program includes a separate Koc estimate based upon Log Kow (rather than MCI). A brief description of the estimation methodology and accuracy is presented in the Methodology section and Accuracy section of the programme.KOCWIN requires only a chemical structure to make these predictions. Structures are entered into KOCWIN by SMILES (Simplified Molecular Input Line Entry System) notations. The following journal article explains the MCI prediction methodology and its use:(1) 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).Journal abstract:"The first-order molecular connectivity index (MCI) has been successfully used to predict soil sorption coefficients (Koc) for nonpolar organics, but extension of the model to polar compounds has been problematic. To address this, we developed a new estimation method based on MCI and series of statistically derived fragment contribution factors for polar compounds. After developing an extensive database of measured Koc values, we divided the dataset into a training set of 189 chemicals and an independent validation set of 205 chemicals. Two linear regressions were then performed. First, measured log Koc values for nonpolar compounds in the training set were correlated with MCI. The second regression was developed by using the deviations between measured log Koc and the log Koc estimated with the nonpolar equation and the number of certain structural fragments in the polar compounds. The final equation for predicting log Koc accounts for 96% and 86% of the variation in the measured values for the training and validation sets, respectively. Results also show that the model outperforms and covers a wider range of chemical structures than do models based on octanol-water partition coefficients (Kow) or water solubility."
- Type:
- log Koc
- Value:
- >= 4.28 - <= 16.732 dimensionless
- Temp.:
- 25 °C
- Remarks on result:
- other: Calculated range of values using EPIWIN KOCWIN v2.00 model
- Details on results (HPLC method):
- Not applicable - QSAR assessment.
- Adsorption and desorption constants:
- Not applicable - QSAR assessment.
- Recovery of test material:
- Not applicable - QSAR assessment.
- Concentration of test substance at end of adsorption equilibration period:
- Not applicable - QSAR assessment.
- Concentration of test substance at end of desorption equilibration period:
- Not applicable - QSAR assessment.
- Details on results (Batch equilibrium method):
- Not applicable - QSAR assessment.
- Statistics:
- Not applicable - QSAR assessment.
- Validity criteria fulfilled:
- yes
- Conclusions:
- Using the US EPA On-Line EPI Suite™ KOCWIN v2.00 model, the log Koc range is predicted to be 4.28 to 16.732. Using the US EPA On-Line EPI Suite™ KOCWIN v2.00 model, the log Koc range is predicted to be 4.28 to 16.732. This is anticipated to be appropriate, based on the predicted water solubility and hydrocarbon nature of the substance.
- Executive summary:
The substance is a hydrocarbon UVCB. Standard tests for assessment of adsorption are intended for single substances and are not appropriate for this complex substance. It is unlikely that a study result would give anything other than a “greater than” limit value of the highest value available in the test. This endpoint is therefore characterized using quantitative structure property relationships for representative hydrocarbon structures that could be present within this UVCB substance. 70 proposed molecules are assessed, in order to provide a suitable range of likely values associated with the substance.
Using the US EPA On-Line EPI Suite™ KOCWIN v2.00 model, the log Kocrange is predicted to be 4.28 to 16.732. Using the US EPA On-Line EPI Suite™ KOCWIN v2.00 model, the log Koc range is predicted to be 4.28 to 16.732. This is anticipated to be appropriate, based on the predicted water solubility and hydrocarbon nature of the substance.
Log Koc can provide insight as to whether a material will cling to soils or sediments in water and whether they will desorb or be tightly bound. Based on information from NTIS ((Review of Exposure Assessment Guidelines, September 1996), approximate indications of relative soil absorption potential are as follows:
Low potential: Koc = 1 to 100, log Koc = 0 - 2
Moderate potential: Koc = 100 to 10,000, log Koc = 2 - 4
High potential: Koc = 10,000 to 10,000,000, log Koc 4 - 7
A high potential would indicate that a material would bind tightly to soils and sediments and thus, reduce overall exposure potential.- Endpoint:
- adsorption / desorption
- Remarks:
- adsorption
- Type of information:
- experimental study
- Adequacy of study:
- key study
- Study period:
- 25 February 2015
- Reliability:
- 2 (reliable with restrictions)
- Rationale for reliability incl. deficiencies:
- other: Study could not be performed to the recognised OECD & EU test guidelines due to the nature of the test material.
- Qualifier:
- no guideline followed
- Principles of method if other than guideline:
- During the adsorption coefficient study we tried to find proper analytical methods which separate the test item and the pesticide standards.With the common HPLC eluents (acetonitrile or methanol) we can separate the pesticide standards but the test item did not elute from the column. When we used stronger organic solvents we are able to elute the test item but the standards elute together and this prevents the calibration.We know for sure, that the elution time is of the test item is much longer than the last eluting standard which means that the adsorption coefficient of the test item is higher than the last standard (DDT KOC=5.6). Therefore we cannot give an exact value as a result of the test only estimation. But this means that we cannot perform the test according to the guideline.
- GLP compliance:
- no
- Remarks:
- Study could not be performed to the recognised OECD & EU test guidelines due to the nature of the test material.
- Type of method:
- HPLC estimation method
- Media:
- other: Not specified
- Specific details on test material used for the study:
- Details on properties of test surrogate or analogue material:No further details specified in the study report.
- Radiolabelling:
- no
- Test temperature:
- Not specified
- Details on study design: HPLC method:
- OBJECTIVE OF THE STUDY
The purpose of the study is to estimate the adsorption coefficient Koc of test item using an HPLC method. This method is applicable for substances, which have log Koc value ranging from 0 to 6.During the adsorption coefficient study we tried to find proper analytical methods which separate the test item and the pesticide standards.With the common HPLC eluents (acetonitrile or methanol) we can separate the pesticide standards but the test item did not elute from the column. When we used stronger organic solvents we are able to elute the test item but the standards elute together and this prevents the calibration.We know for sure, that the elution time is of the test item is much longer than the last eluting standard which means that the adsorption coefficient of the test item is higher than the last standard (DDT KOC=5.6). Therefore we cannot give an exact value as a result of the test only estimation. But this means that we cannot perform the test according to the guideline. - Analytical monitoring:
- not specified
- Type:
- Koc
- Value:
- > 5.56
- Remarks on result:
- other: Temperature and % Org. carbon not specified in the study report.
- Details on results (HPLC method):
- During the adsorption coefficient study we tried to find proper analytical methods which separate the test item and the pesticide standards.With the common HPLC eluents (acetonitrile or methanol) we can separate the pesticide standards but the test item did not elute from the column. When we used stronger organic solvents we are able to elute the test item but the standards elute together and this prevents the calibration.We know for sure, that the elution time is of the test item is much longer than the last eluting standard which means that the adsorption coefficient of the test item is higher than the last standard (DDT KOC=5.6). Therefore we cannot give an exact value as a result of the test only estimation. But this means that we cannot perform the test according to the guideline.
- Conclusions:
- Log Koc >= 5.6
- Executive summary:
OBJECTIVE OF THE STUDY
The purpose of the study is to estimate the adsorption coefficient Koc of test item using an HPLC method. This method is applicable for substances, which have log Koc value ranging from 0 to 6.
During the adsorption coefficient study we tried to find proper analytical methods which separate the test item and the pesticide standards.
With the common HPLC eluents (acetonitrile or methanol) we can separate the pesticide standards but the test item did not elute from the column. When we used stronger organic solvents we are able to elute the test item but the standards elute together and this prevents the calibration.
We know for sure, that the elution time is of the test item is much longer than the last eluting standard which means that the adsorption coefficient of the test item is higher than the last standard (DDT KOC=5.6). Therefore we cannot give an exact value as a result of the test only estimation. But this means that we cannot perform the test according to the guideline.
Referenceopen allclose all
Tabulated data from evaluation of various potential structures present in NovaSpec 450 Base Oil
Derivation | SMILES Code | Molecular Formula | MW | Log Kow calculated using KOCWIN v2.00 | |
1 | M | CC(C)CCCC(C)CCCC(C)CC | C15H32 | 212.41 | 4.279 |
2 | M-C8 | CC(C)C(CCC(C)CCCC(C)CC)C(CC)CCCCC | C23H48 | 324.63 | 6.3107 |
3 | M-C10 | CC(C)C(CCC(C)CCCC(C)CC)C(CCCC)CCCCC | C25H52 | 338.65 | 6.832 |
4 | M-C12 | CC(C)C(CCC(C)CCCC(C)CC)C(CCCCC)CCCCCC | C27H56 | 380.73 | 7.3533 |
5 | M-C14 | CC(C)C(CCC(C)CCCC(C)CC)C(CCCCCCCC)CCCCC | C29H60 | 408.79 | 7.8746 |
6 | M-C16 | CC(C)C(CCC(C)CCCC(C)CC)C(CCCCCCCCCC)CCCCC | C31H64 | 436.84 | 8.3959 |
7 | M-C8 | CCC(CCCCC)C(CCC(C)C)C(C)CCCC(C)CC | C23H48 | 324.63 | 6.3107 |
8 | M-C8 | CCC(CCCCC)C(CCC(C)CC)C(C)CCCC(C)C | C23H48 | 324.63 | 6.3107 |
9 | M-C10 | CC(CCCC(C)CCCC(C)CC)CC(CCCCC)CCCC | C25H52 | 338.65 | 6.8698 |
10 | M-C10 | CC(CCCC(C)CC)C(CCC(C)C)C(CCCCC)CCCCCC | C25H52 | 338.65 | 7.3533 |
11 | M-C12 | CC(CCCC(C)CC)C(CCC(C)C)C(CCCCC)CCCCCC | C27H56 | 380.73 | 7.3533 |
12 | M-C12 | CC(CCCC(C)C)C(CCC(C)CC)C(CCCCCC)CCCCC | C27H56 | 380.73 | 7.3533 |
13 | M-C12 | CC(CC)C(CCC(C)CCCC(C)C)C(CCCCC)CCCCCC | C27H56 | 380.73 | 7.3533 |
14 | M-C12 | CC(CCCC(C)C)C(CCC(C)CC)C(CCCC)CCCCCCC | C27H56 | 380.73 | 7.3533 |
15 | M-C14 | CC(CC(CCCCCC)CCCCCCC)CCCC(C)CCCC(C)CC | C29H60 | 408.79 | 7.9124 |
16 | M-C14 | CC(CCCC(C)CC)C(CCC(C)C)C(CCCCC)CCCCCCCC | C29H60 | 408.79 | 7.8746 |
17 | M-C14 | CC(CC)C(CCC(C)CCCC(C)C)C(CCCCC)CCCCCCCC | C29H60 | 408.79 | 7.8746 |
18 | M-C14 | CC(CCCC(C)CC)C(CCC(C)C)C(CCCCCCCCC)CCCC | C29H60 | 408.79 | 7.8746 |
19 | M-C14 | CC(CCCC(C)C)C(CCC(C)CC)C(CCCCCCC)CCCCCC | C29H60 | 408.79 | 7.8746 |
20 | M-C16 | CC(CCCC(C)CCCC(C)CC)CC(CCCCCCCC)CCCCCCC | C31H64 | 436.84 | 8.4337 |
21 | M-C16 | CC(C)CCC(C(CCCCCCCC)CCCCCCC)C(C)CCCC(C)CC | C31H64 | 436.84 | 8.3959 |
22 | M-C16 | CC(C)C(CCCCCCCCCCCCCCCC)CCC(C)CCCC(C)CC | C31H64 | 436.84 | 8.4227 |
23 | M-Farn | CC(CC(CCC(C)CCCC(C)CC)C(C)C)CCCC(C)CCCC(C)CC | C30H62 | 422.81 | 7.996 |
24 | M-Farn | CC(C)CCCC(CCCC(C)CC)CC(CCC(C)CC)C(C)CCCC(C)C | C30H62 | 422.81 | 7.996 |
25 | M-Farn-C8 | CC(C)CCCC(C)CCC(CC(CCCC(C)CC)CCC(C(CC)CCCCC)C(C)C)C(C)CC | C38H78 | 535.03 | 10.0277 |
26 | M-Farn-C8 | CC(CCCC(C)CCCC(C)CCCC(C)CCCC(C)CC)C(CCC(C)C)CCCCCCCC | C38H78 | 535.03 | 10.0812 |
27 | M-Farn-C10 | CC(C)CCCC(C)CCC(CC(CCCC(C)C(CCC(C)C)C(CCCCCCC)CC)CC)C(C)CC | C40H82 | 563.08 | 10.549 |
28 | M-Farn-C12 | CC(CCCC(C)C)C(CCC(CC(CCC(C)CCCC(C)C)C(C)CC)CC)C(CCCCC)CCCCCC | C42H86 | 591.13 | 11.0703 |
29 | M-Farn-C14 | CC(C)C(CCC(C)CCCC(C)CC)C(CC(C)CCCC(C)CC)C(C(C)C)C(CCCC)CCCCCCCCC | C44H90 | 619.18 | 11.5538 |
30 | M-Farn-C16 | CC(CC(CCCC)CCCCCCCCCCC)CCCC(CCCC(C)CC)CC(CCC(C)C)C(C)CCCC(C)CC | C46H94 | 647.24 | 12.1507 |
31 | M-C8-C12 | CCCCCC(CC(CC)CCCC(C)C(CCC(C)C)C(CCCCC)CC)CCCCCC | C35H72 | 492.95 | 9.4228 |
32 | M-C8-C14 | CCCC(CCCCCCCCCC)CC(CCC(CCCCCCCC)C(C)C)CCCC(C)CC | C37H76 | 520.99 | 9.9708 |
33 | M-C8-C16 | CC(CCCC(C)CC)CCCC(CCCCCCCCC)CC(CCCC)CCCCCCCCCCC | C39H80 | 549.05 | 10.5387 |
34 | M-C10-C8 | CCCCC(CCCCC)C(CCC(CC(C)CCCCCC)CCCC(C)CC)C(C)C | C33H68 | 464.89 | 8.8817 |
35 | M-C10-C12 | CCC(CCCCCCC)C(CCC(C)CC)C(C)CCCC(C)CC(CCCCCC)CCCCC | C37H76 | 520.99 | 9.9441 |
36 | M-C10-C16 | CCC(CCCCCCC)C(CCC(C)CC)C(C)CCCC(C)CC(CCCCC)CCCCCCCCCC | C41H84 | 577.11 | 10.9867 |
37 | M-C12-C8 | CC(CCCCCC)CC(CC)CCCC(C)C(CCC(C)C)C(CCCCC)CCCCCC | C35H72 | 492.95 | 9.403 |
38 | M-C12-C14 | CC(CC(CCCCCCCC)CCCCC)CCC(C(CCCCC)CCCCCC)C(C)CCCC(C)CC | C41H84 | 577.11 | 10.9867 |
39 | M-C12-C16 | CCCCCC(CC(CCCC(C)CC)CCCC(C)CCCCCCCCCCCCC)CCCCCCCCCC | C43H88 | 605.16 | 11.5813 |
40 | M-C14-C8 | CC(C)C(CCC(CCCC(C)CC)CC(C)CCCCCC)C(CCCCC)CCCCCCCC | C37H76 | 520.99 | 9.9243 |
41 | M-C14-C10 | CCCCC(CCCCCCCCC)C(CCC(C)CC)C(CC(C)CCCCCCCC)CCCC(C)C | C39H80 | 549.05 | 10.4456 |
42 | M-C14-C16 | CCCCCCCCCCCC(CCCC)CC(CCCC(C)CC)CCCC(C)CC(CCCCCCCC)CCCCC | C45H92 | 633.21 | 12.0671 |
43 | M-C16-C8 | CC(C)C(CCC(CC(C)CCCCCC)CCCC(C)CC)C(CCCCCCCCCC)CCCCC | C39H80 | 549.05 | 10.4456 |
44 | M-C16-C16 | CC(CC(CCCCCCCCCC)CCCCC)C(CCC(C)CCCC(C)CC)CCCCCCCCCCCCCCCC | C47H96 | 661.26 | 12.5773 |
45 | M-Farn-Farn (Deriv 1) | CC(C)CCCC(C)CCCC(CC)CC(CCC(C)CC)C(C)CCCC(C)CC(CCC(C)CC)C(C)CCCC(C)C | C45H92 | 633.21 | 11.713 |
46 | M-Farn-Farn (Deriv 2) | CC(CCCC(C)CCCC(C)CCCC(C)CC)C(CC(C)CCCC(C)CCCC(C)CC)CCC(C)CCCC(C)C | C45H92 | 633.21 | 11.7397 |
47 | M-Farn-Farn (Deriv 3) | CC(CC(CCC(C)CCCC(C)CC)C(C)CC(CCC(C)CCCC(C)CC)C(C)C)CCCC(C)CCCC(C)CC | C45H92 | 633.21 | 11.713 |
48 | M-C8-C8-C8 | CC(C)C(CCC(CC(C)CCCCCC)CCC(CCCCCCCC)C(C)CC)C(CC)CCCCC | C39H80 | 549.05 | 10.4188 |
49 | M-C10-C10-C10 | CC(CC(CC(C)CC)CCCCCCCCCC)C(CCCCCCCCCC)CCC(C)CCCCCCCCCCC | C45H92 | 633.21 | 12.056 |
50 | M-C12-C12-C12 | CC(C(C)CCCC(CCCC(C)CC(C)CCCCCCCCCC)CC(C)CCCCCCCCCC)C(CCCCCC)CCCCC | C51H104 | 717.37 | 13.518 |
51 | M-C14-C14-C14 | CCCCCC(CC(CCCC(C)C(CCC(C)CCCCCCCCCCCCCCC)C(CCCCCCCC)CCCCC)CC)CCCCCCCC | C57H116 | 801.53 | 15.1769 |
52 | M-C16-C16-C16 | CCCCCCCCCC(CC(CCCC(C)C(CCCCCCCCCCCCCCCC)CCC(C)CC(CCCCCCC)CCCCCCCC)CC)CCCCCC | C63H128 | 885.69 | 16.732 |
53 | M-Farn-Farn-C8 | CC(CCCC(CC(CCCCC)CC)C(CCC(C)C)C(CCC(C)C)C(C)CCCC(C)CC)CCCC(CCCC(C)C)CCCC(C)CC | C53H108 | 745.42 | 13.7714 |
54 | M-Farn-Farn-C10 | CC(CCCC(C)CC(CC(CC(C)CCCC(C)CCCC(C)CC)C(C)C(C)CCCCCCCCCC)C(C)CCCC(C)C)CCCC(C)CC | C55H112 | 773.48 | 14.2729 |
55 | M-Farn-Farn-C12 | CC(CCCC(C)C)C(CCC(C)CC)CC(CCCC(C)CCC(CC(C)CCCC(C)CCCC(C)CC)C(C)CC)CC(CCCCCC)CCCCC | C57H116 | 801.53 | 14.8251 |
56 | M-Farn-Farn-C14 | CC(CC(CCC(C)CCC(CCCC(C)C)CCCC(C)CC)C(C)CCCC(C)CC)C(CCC(C)CCCC(C)CC)C(CCCCCCC)CCCCCC | C59H120 | 829.58 | 15.3551 |
57 | M-Farn-Farn-C16 | CC(C)CCCC(CCCC(C)CC)CCC(CCCC(C)CCC(CCCCCCCCC)CCCCCC)C(CC(CCCC(C)CC)CCCC(C)C)CCC(C)C | C61H124 | 857.64 | 15.8944 |
58 | M-Farn-C8-C10 | CC(CCCC(C)CC)CCCC(C)CCC(CCCC(C)CCCC(C)C(C)CCCCCCCCCC)CCCCCCCCC | C48H98 | 647.24 | 12.7075 |
59 | M-Farn-C10-C14 | CC(CCCC(C)CC)CCCC(CCC(CCCC(C)CCCC(C)CCCCCCCCCCC)CC)CC(CCCC)CCCCCCCCC | C54H110 | 759.45 | 14.3023 |
60 | M-Farn-C14-C16 | CCCCCCCCC(CCCCC)C(CCC(C)C)C(C)CCCC(CCC(CC)C(CCC(C)CCCC(C)C)C(CCCCCCC)CCCCCCCC)CC | C60H112 | 843.61 | 15.7551 |
61 | M-Farn-C16-C16 | CC(CCCC(C)CC)C(CCC(C)CCC(CC(CC)CCCCCCCCCCCCC)CCCC(C)CCCC(C)CC)CCCCCCCCCCCCCCCC | C62H126 | 871.66 | 16.3409 |
62 | M-Farn-C8-C16 | CCCC(CCCC)C(CCC(C)CC)C(CCC(CCCC(C)CC)CCCC(C)CC(CCCCCCCCCC)CCCCC)CCCC(C)C | C54H110 | 759.45 | 14.2289 |
63 | M-C8-C10-C12 | CC(CCCC(C)CCCC(CC(CCCCC)CC)C(C)C(CC)CCCCCCC)CCCCCCCCCCCCC | C45H92 | 633.21 | 12.0293 |
64 | M-C12-C14-C16 | CCCCC(CC(CCCC(C)C(C)C(CCCCCC)CCCCCCCCC)CCCC(C)CCCCCCCCCCCCC)CCCCCCCCC | C57H116 | 801.53 | 15.1571 |
65 | M-C8-C12-C16 | CC(C(CC(C)CCCCCCCCCC)CCCC(C)CCCC(C)CC(CCCCCCCC)CCCCCCC)C(CCCCC)CC | C51H104 | 717.37 | 13.5379 |
66 | M-C10-C12-C14 | CCCCC(CCCCCCC)C(CCC(C)CCC(CCCCC)CCCC)C(C)CCCC(C)CC(CCCCCC)CCCCCCC | C51H104 | 717.37 | 13.5577 |
67 | M-C8-C14-C16 | CC(CCC(CCCCCCCC)C(C)CCCC(C)CCC(C)CCCCCCCCCCCC)CC(CCCCCCCCC)CCCCCC | C53H108 | 745.42 | 14.0859 |
68 | M-Farn-Farn-Farn (Deriv 1) | CC(CC(CCC(C)CC)C(CC(CCC(C)CCCC(C)CC)C(C)C)CCCC(C)CCC(CCCC(C)CCCC(C)C)CC)CCCC(C)CCCC(C)CC | C60H112 | 843.61 | 15.4765 |
69 | M-Farn-Farn-Farn (Deriv 2) | CC(C)C(CCC(C)CCCC(C)CC)CC(C)C(CCC(C)C(CC(C)CCCC(C)CCCC(C)CC)CCC(C)CC)C(CCC(C)CCCC(C)CC)C(C)C | C60H112 | 843.61 | 15.3922 |
70 | M-Farn-Farn-Farn (Deriv 3) | CC(CC)CCCC(C)CCCC(C)CCC(CCCC(C)CC(C)C(C)CCCC(C)C(CCC(C)C)C(CCC(C)C)C(C)CCCC(C)CC)CCCC(C)CC | C60H112 | 843.61 | 15.4189 |
Description of key information
Assessment of soil adsorption via QSAR
Key value for chemical safety assessment
- Koc at 20 °C:
- 53 951 062 251 512 680
Additional information
The substance is a hydrocarbon UVCB. Standard tests for assessment of adsorption are intended for single substances and are not appropriate for this complex substance. It is unlikely that a study result would give anything other than a “greater than” limit value of the highest value available in the test. This endpoint is therefore characterized using quantitative structure property relationships for representative hydrocarbon structures that could be present within this UVCB substance. 70 proposed molecules are assessed, in order to provide a suitable range of likely values associated with the substance.
Using the US EPA On-Line EPI Suite™ KOCWIN v2.00 model, the log Koc range is predicted to be 4.28 to 16.732. This is anticipated to be appropriate, based on the predicted water solubility and hydrocarbon nature of the substance.
Log Koc can provide insight as to whether a material will cling to soils or sediments in water and whether they will desorb or be tightly bound. Based on information from NTIS ((Review of Exposure Assessment Guidelines, September 1996), approximate indications of relative soil absorption potential are as follows:
Low potential: Koc = 1 to 100, log Koc = 0 - 2
Moderate potential: Koc = 100 to 10,000, log Koc = 2 - 4
High potential: Koc = 10,000 to 10,000,000, log Koc 4 - 7
A high potential would indicate that a material would bind tightly to soils and sediments and thus, reduce overall exposure potential.
Short report
The intention was to estimate the adsorption coefficient Koc of test item using an HPLC method. This method is applicable for substances, which have log Koc value ranging from 0 to 6.
During the test efforts were made to identify the appropriate analytical method which seperates the test item and the pesticide standards. With the common HPLC eluents (acetonitrile or methanol) the pesticide standards were separated but the test item did not elute from the column. When we used stronger organic solvents we are able to elute the test item but the standards elute together and this prevents the calibration.
The elution time is of the test item is much longer than the last eluting standard which means that the adsorption coefficient of the test item is higher than the last standard (DDT KOC=5.6). Therefore it is not possible to determine the exact value as a result of the test, only an estimation. But this means that it is not possible to perform the test according to the guideline.
[LogKoc: 16.732]
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