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EC number: 616-017-7 | CAS number: 7377-08-4
- 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
- Study period:
- 22 May 2018
- 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
EPI Suite v4.11 (EPA Office of Pollution Prevention Toxics and Syracuse Research Corporation (SRC))
2. MODEL (incl. version number)
KOCWIN Program (v2.00)
3. SMILES OR OTHER IDENTIFIERS USED AS INPUT FOR THE MODEL
SMILES code: C1=CC(=CC=C1C(=O)NCCC(=O)O)N
4. SCIENTIFIC VALIDITY OF THE (Q)SAR MODEL
- Defined endpoint: Yes - adsorption coefficient
- Unambiguous algorithm: No
- Defined domain of applicability: Currently there is no universally accepted definition of model domain.
- Appropriate measures of goodness-of-fit and robustness and predictivity: The following table gives statistical information for the MCI (Molecular Connectivity Index, first-order) training and validation Datasets. The statistics pertain to the experimental log Koc and the MCI estimated log Koc:
MCI Methodology
Training Training Validation
No Corrections with Corrections Data set
number 69 447 158
r2 corr coef 0.967 0.900 0.850
std deviation 0.247 0.340 0.583
avg deviation 0.199 0.273 0.459
The estimation accuracy of the MCI Methodology Training dataset (no corrections) is as follows:
• number = 69
• r2 = 0.967
• std deviation = 0.247
• avg deviation = 0.199
The estimation accuracy of the MCI Methodology Training dataset (with corrections) is as follows:
• number = 447
• r2 = 0.90
• std deviation = 0.34
• avg deviation = 0.273
The residual estimation error of the MCI training datasets is as follows:
Training Estimation Error:
within <= 0.20 - 44.2%
within <= 0.40 - 76.9%
within <= 0.60 - 93.0%
within <= 0.80 - 98.6%
within <= 1.00 - 100%
The estimation accuracy of the MCI Methodology Validation dataset is as follows:
• number = 158
• r2 = 0.850
• std deviation = 0.583
• avg deviation = 0.459
The minimum and maximum values for molecular weight are the following:
Training Set Molecular Weights:
Minimum MW: 32.04
Maximum MW: 665.02
Average MW: 224.4
Validation Molecular Weights:
Minimum MW: 73.14
Maximum MW: 504.12
Average MW: 277.8
- Mechanistic interpretation: Not applicable
5. APPLICABILITY DOMAIN
- Descriptor domain: The Soil Adsorption Coefficient Program (KOCWIN) estimates the soil adsorption coeffiecient (Koc) of organic compounds. The MCI methodology in the KOCWIN Program (v2.00) uses 516 compounds in the training sets and 158 compounds in the validation set. Since 4-Aminobenzoyl-b-alanine is an organic chemical it falls within the general applicability domain of the model. Currently there is no universally accepted definition of model domain. Log Koc estimates are less accurate for compounds outside the MW range of the training set compounds, and/or that have more instances of a given fragment than the maximum for all 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 fragment coefficient or correction factor was developed.
- Structural and mechanistic domains: Most of the functional groups/ structural features of 4-Aminobenzoyl-b-alanine are represented in the training set.
- Similarity with analogues in the training set: Not determined
6. ADEQUACY OF THE RESULT
The molecular weight of 4-Aminobenzoyl-b-alanine falls within the applicability domain of the model and most of the functional groups/ structural features are represented in the training set. Therefore, it can be considered that the KOCWIN Program (v2.00) result is indicative of the adsorption coefficient of 4-Aminobenzoyl-b-alanine. - Qualifier:
- no guideline followed
- Principles of method if other than guideline:
- - Software tool used including version: EPI Suite v4.11 (EPA Office of Pollution Prevention Toxics and Syracuse Research Corporation (SRC))
- Model(s) used: KOCWIN Program (v2.00)
- Model description: see field 'Justification for type of information'
- Justification of QSAR prediction: see field 'Justification for type of information' - GLP compliance:
- no
- Specific details on test material used for the study:
- SMILES code: C1=CC(=CC=C1C(=O)NCCC(=O)O)N
- Key result
- Sample No.:
- #1
- Type:
- Koc
- Value:
- 10 L/kg
- Remarks on result:
- other: QSAR predicted value
- Validity criteria fulfilled:
- not applicable
- Conclusions:
- The adsorption coefficient of 4-Aminobenzoyl-b-alanine was estimated to be 10 L/kg.
Reference
Description of key information
The adsorption coefficient of 4-Aminobenzoyl-b-alanine was estimated to be 10 L/kg.
Key value for chemical safety assessment
- Koc at 20 °C:
- 10
Additional information
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