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EC number: 912-664-7 | 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)
Description of key information
Key value for chemical safety assessment
Other adsorption coefficients
- Type:
- log Kp (solids-water in soil)
- Value in L/kg:
- 3.47
Other adsorption coefficients
- Type:
- log Kp (solids-water in suspended matter)
- Value in L/kg:
- 4.59
Other adsorption coefficients
- Type:
- log Kp (solids-water in sediment)
- Value in L/kg:
- 2.94
Other adsorption coefficients
- Type:
- log Kp (solids-water in raw sewage sludge)
- Value in L/kg:
- 4.59
Other adsorption coefficients
- Type:
- log Kp (solids-water in settled sewage sludge)
- Value in L/kg:
- 4.59
Other adsorption coefficients
- Type:
- log Kp (solids-water in activated sewage sludge)
- Value in L/kg:
- 4.59
Additional information
Five different partitioning coefficients are derived for Cobalt:
1) Suspended particulate matter (SPM) freshwater Log Kd
2) Suspended particulate matter (SPM)seawater Log Kd
3) Sediment freshwater Log Kd
4) Sediment seawater Log Kd
5) Soil Log Kd
The partitioning coefficients used for the derivation of the typical values are summarized in the Tables below.
Table: SPM- Freshwater environment
Location |
Log Kd (L/kg) | Remarks |
Reference | ||||
Czech rivers |
4.43 |
Median Kd |
Veselý J (2001) |
||||
River Calder
River Nidd
River Swale
River Trent
|
3.64 4.76 4.28 5.22 4.5 5.68 3.83 4.99 |
Min value Max value Min value Max value Min value Max value Min value Max value |
Lofts (2000) |
||||
Swale (upper river) Trent River |
4.8 4.3 |
Mean value Mean value |
Tipping (1998) |
||||
River Po |
2.53 |
Mean value |
Pettine (1994) |
||||
Saint Lawrence river |
5.7 |
Mean value |
Quèmerais (1996) |
||||
Perch lake |
7.11 6.73 |
Mean Kp suspended particle Mean Kp sediment trap |
Diamond (1990) |
||||
River Po |
3.85 5.46 4.68 |
Min value Max value Average value |
Queirazza (1987) |
||||
Hudson river |
5.49 |
Average value |
Li (1984) |
||||
Rio Grande Rio Puerco Rio Salado |
3.35 2.55 2.59 |
Average value Average value Average value |
Popp and Laquer (1980) |
||||
Huanghe river (yellow river) |
5.53 6.29 |
Min measured Max measured |
Zhang (1994)
|
||||
Sagami river (Japan) Yura river (Japan) |
5.9 6.2 |
Mean value Mean value |
Takata (2010) |
Table: SPM- Seawater
Location |
Log Kd (L/kg) | Remarks |
Reference | ||||
Seatanks at Winfrith |
3.66 |
57Co after 168h |
Leonard (1993) |
||||
North Sea |
4.12 6.46 4.58 5.38 6.19 |
Minimum Maximum 10th P Median 90th P |
Tappin (1995)
|
||||
Kara Sea: the Novaya Zemlya Trough (NZT) and the mixing zones of the OB and Yenisey Rivers (RMZ) |
4.65 3.00 5.30 4.89 3.90 5.43 |
Median(NZT) Minimum (NZT) Maximum (NZT) Median (RMZ) Minimum (RMZ) Maximum (RMZ) |
Carroll (1999) |
||||
Seine estuary |
5 |
Salinity range of 20-30 g/L |
Chiffoleau (1994) |
||||
New York Bight |
4.28 |
Average value |
Li (1984) |
||||
Sagami Bay (Japan) Wakasa Bay (Japan) |
5.2 5.9 |
Mean value Mean value |
Takata (2010) |
Table: Sediment -Freshwater
Location |
Log Kd (L/kg) | Remarks |
Reference | ||||
Pinheiros River, Brasil |
2.63 |
Aerobic |
Lima (1993) |
||||
Tejo river, Portugal |
2.9 3.6
|
2000 mg sediment/L 500 mg sediment/L
|
Madruga (1992) |
Table: Sediment – Seawater
Location |
Log Kd (L/kg) | Remarks |
Reference | ||||
Kara Sea: the Novaya Zemlya Trough (NZT) and the mixing zones of the OB and Yenisey Rivers (RMZ) |
5.18 4.48 5.48 4.26 3.30 4.60 |
Median (NZT) Minimum (NZT) Maximum (NZT) Median (RMZ) Minimum (RMZ) Maximum (RMZ) |
Carroll (1999) |
||||
Kara Sea + Fjords |
6.3 4
3.08
6.3 |
Field (open Kara sea) Experimental (Open Kara sea) Experimental (Abrosimov Fjord) Experimental (Stepovogo Fjord)
|
Fisher (1999) |
Table: Soil – Water
Log Kd (L/kg) |
Remarks | Reference |
|||
0.05 1.10 3.47 4.18 4.23 |
Minimum 10th percentile Median 90th percentile Maximum |
Janik (2010) (474 experimental values) |
Modeled values should not be taken into account when many measured data are available. As the amount of measured data is high, modeled data were not used for the derivation of the Log Kd values.
Using the collected data that are presented in the Tables above, typical Cobalt log Kd values are derived as the median value of averaged values per river or location (i.e. only one average value per river/location taken into account). A typical range of Kd values is based on the 10thand 90thpercentiles of the complete datasets (as presented in the tables above). For freshwater sediment, the minimum and maximum of the dataset was used because less than 5 datapoints are available (metal-specific REACH guidance, R.7.13-2, figure 2).
The 10th, 50th(median) and 90thpercentile of the various log Kd-distributions are compared in the Table below:
|
|||||||||
|
SPM Freshwater |
SPM Seawater |
SEDIMENTFreshwater |
SEDIMENT Seawater |
SOIL |
||||
10th percentile |
2.97 |
3.78 |
2.63 (Min) |
3.28 |
1.10 |
||||
50th percentile |
4.59 |
4.94 |
2.94 |
5.15 |
3.47 |
||||
90th percentile |
6.25 |
6.05 |
3.60 (Max) |
6.28 |
4.18 |
Similar median values were obtained for the SPM distributionfunctions in freshwater and marine water (Log Kd of 4.59 – 4.94).The median Kd for sediment-seawater is one order of magnitude higher (Log Kd of 5.15), whereas the median Kd of sediment-freshwater and median Kd soil are more than one order of magnitude lower (Log Kd of 2.94 – 3.47) compared to the median Kd for suspended matter.
The derived mean Kd value for suspended matteris in accordance with the median partition coefficient that was proposed by the US EPA, Office of Solid Waste (1999). Based on literature data (n=20) a median log Kd of 4.7 was derived using a log-normal distribution. The proposed median Kd for soil is about one order of magnitude larger than the value reported by the same US EPA report (log Kd = 2.1, based on 11 data and a log-normal distribution), which may be explained by the larger dataset used in the present report (n = 474).
Values for solids-water in sewage sludge were added for CHESAR calculations and are based on the SPM freshwater.
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