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Diss Factsheets
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EC number: 204-815-4 | CAS number: 126-97-6
- 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
- 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 limited documentation / justification
- Justification for type of information:
- 1. SOFTWARE
EpiSuite v4.11, US EPA, 2012
2. MODEL (incl. version number)
KOCWIN v2.00 (MCI method)
3. SMILES OR OTHER IDENTIFIERS USED AS INPUT FOR THE MODEL
O=C(O)CS
4. SCIENTIFIC VALIDITY OF THE (Q)SAR MODEL
- Defined endpoint: Koc
MCI (molecular connectivity index) method
The equation derived by the non-polar (no correction factor) regression is:
log Koc = 0.5213 MCI + 0.60
(n = 69, r2 = 0.967, std dev = 0.247, avg dev = 0.199)
for comparison, the previous version of PCKOCWIN used a very similar equation:
log Koc = 0.53 MCI + 0.62
Adding in the correction factor regression yields the final MCI equation:
log Koc = 0.5213 MCI + 0.60 + ΣPfN
where ΣPfN is the summation of the products of all applicable correction factor coefficients multiplied by the number of times (N) that factor is counted for the structure.
- Defined domain of applicability:
Currently there is no universally accepted definition of model domain. However, users may wish to
consider the possibility that log P 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 was developed. These points should be taken into consideration when interpreting
model results.
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
- Appropriate measures of goodness-of-fit and robustness and predictivity:
Overall, the MCI methodology is somewhat 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.
5. APPLICABILITY DOMAIN
- Descriptor domain: The components of the substance are within the molecular weight range of the training set compounds, and all fragments are represented in the training set. Thus, it is concluded, that the substance is within the applicability domain.
- Similarity with analogues in the training set: several linear and branched alkanes and alkenes, which are considered to be similar, are present in the training set.
6. ADEQUACY OF THE RESULT
The QSAR prediction is valid and of good reliability. Thus, the result is adequate for chemical safety assessment.
Data source
Reference
- Reference Type:
- other: QSAR
- Title:
- Adsorption estimations by KocWin 2.0
- Author:
- KocWin v2.0
- Year:
- 2 012
- Bibliographic source:
- Epiweb v4.11
Materials and methods
- Principles of method if other than guideline:
- (Q)SAR: QSAR linear regression analysis equations were developed utilizing Molecular Connectivity Index (MCI).
- GLP compliance:
- no
- Remarks:
- not applicable for in silico method
- Type of method:
- other: estimated by QSAR
Test material
- Reference substance name:
- (2-hydroxyethyl)ammonium mercaptoacetate
- EC Number:
- 204-815-4
- EC Name:
- (2-hydroxyethyl)ammonium mercaptoacetate
- Cas Number:
- 126-97-6
- Molecular formula:
- C2H7NO.C2H4O2S
- IUPAC Name:
- 2-hydroxyethan-1-aminium 2-sulfanylacetate
- Details on test material:
- - Name of test material: Monoethanolamine Thioglycolate 83,7%
- Content of active ingredient: 83.7%
All test concentrations were corrected for active ingredient content.
- Lot/batch No.: 9787
- Physical state: colourless liquid
- Description: aqueous solution
- Storage condition of test material: room temperature in the dark, under nitrogen in a glass bottle
Constituent 1
Study design
- Test temperature:
- n.a.
HPLC method
- Details on study design: HPLC method:
- n.a.
Batch equilibrium or other method
- Analytical monitoring:
- not required
- Details on sampling:
- n.a.
- Details on matrix:
- n.a.
- Details on test conditions:
- n.a.
- Computational methods:
- n.a.
Results and discussion
Adsorption coefficient
- Key result
- Type:
- Koc
- Value:
- 1.44 L/kg
- Temp.:
- 25 °C
- Remarks on result:
- other: no data on pH; QSAR
- Remarks:
- QSAR
Results: HPLC method
- Details on results (HPLC method):
- n.a.
Results: Batch equilibrium or other method
- Adsorption and desorption constants:
- n.a.
- Recovery of test material:
- n.a.
- Concentration of test substance at end of adsorption equilibration period:
- n.a.
- Concentration of test substance at end of desorption equilibration period:
- n.a.
- Transformation products:
- not measured
- Details on results (Batch equilibrium method):
- n.a.
- Statistics:
- Koc was estimated with the Kocwin software v2.00 (MCI method). Thioglycolic acid is a small linear molecule with one terminal carboxilic group and one terminal mercaptan group. According to its descriptors, it falls in the scope of the MCI model, as indicated in appendix D of the KOCWIN v2.00 user manual.
Any other information on results incl. tables
SMILES : O=C(O)CS
MOL FOR: C2 H4 O2 S1
Koc may be sensitive to pH!
--------------------------- KOCWIN v2.00 Results ---------------------------
Koc Estimate from MCI:
---------------------
First Order Molecular Connectivity Index ........... : 2.270
Non-Corrected Log Koc (0.5213 MCI + 0.60) .......... : 1.7832
Fragment Correction(s):
* Organic Acid (-CO-OH) ............... : -1.6249
Corrected Log Koc .................................. : 0.1583
Estimated Koc: 1.44 L/kg <===========
Koc Estimate from Log Kow:
-------------------------
Log Kow (experimental DB) ......................... : 0.09
Non-Corrected Log Koc (0.55313 logKow + 0.9251) .... : 0.9749
Fragment Correction(s):
* Organic Acid (-CO-OH) ............... : -0.7694
Corrected Log Koc .................................. : 0.2055
Estimated Koc: 1.605 L/kg <===========
********************************************************************
* NOTE: *
* The Koc of this structure may be sensitive to pH! The estimated *
* Koc represents a best-fit to the majority of experimental values *
* however, the Koc may vary significantly with pH. *
********************************************************************
Applicant's summary and conclusion
- Validity criteria fulfilled:
- not applicable
- Conclusions:
- Log Koc was estimated by QSAR using the MCI method. Log Koc = 1.44
- Executive summary:
Log Koc was estimated with KOCWIN v2.0 of the Episuite v4.11 software by QSAR using the MCI method. The descriptors of thioglycolic acid fall in the scope of the MCI model, as indicated in appendix D of the KOC user manual. Log Koc = 1.44
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.
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