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EC number: 805-657-4 | CAS number: 7214-08-6
- 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
Endpoint summary
Administrative data
Description of key information
Key value for chemical safety assessment
Acute toxicity: via oral route
Link to relevant study records
- Endpoint:
- acute toxicity: oral
- Type of information:
- (Q)SAR
- Adequacy of study:
- key study
- Study period:
- Mai 2019
- Reliability:
- 1 (reliable without restriction)
- 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:
- The computational simulation was performed based on the read-across approach. The readacross is one of the so-called alternative test methods recommended by REACH, where the predictions are based on the experimental data available for the most similar compounds. The predictions were performed according to the Read-Across Assessment Framework (RAAF), which assumes six different risk assessment scenarios of chemical compounds.
Applied tool:
The OECD QSAR Toolbox, version 4.3
Procedure of analysis:
I. Profiling of the target substance in order to retrieve relevant information related to mechanism of action and observed or simulated metabolites
II. Analogue (source compound) search based on selected criteria:
a. analogue hydrolysis similarly like the target compound (hydrolysis simulator (nautral))
b. analogue has similar transformation products as the target compound (metabolism simulators, similarity >50%).
III. Data collection for the analogues (OECD Toolbox database/ECHA CHEM).
IV. Toxicity prediction for the target substance
V. Category consistency check in order to assess the quality of the prediction
Applied scenario:
Scenario 1
Toxicity prediction for the target substance:
This read-across is based on the fact that target compound very easily undergoes a hydrolysis reaction, it is expected that this will be one of the first reactions to which our target chemical is exposed. Thus, the prediction is based on toxicological data of the hydrolysis products of the target chemical.
The target substance is an organometallic compound containing zinc (Zn) centres, glycine (Gly) and zinc sulphate (ZnSO4) ligands. The metallic centres of the substance are linked by oxygen coordination bonds of the Gly ligands.
The weak bonds between metallic centres and the oxygen atoms in the compound structure will break easily and favour hydrolysis of the substance into its basic products (Gly, H2SO4 and Zn(OH)2). Glycine is an amino acid, which is not considered as toxic compound. Zinc (II) sulphate would have similar hydrolysis products (HSO4- and Zn(OH)2). Therefore, the prediction is based only on the ZnSO4.
The acute oral toxicity for the source compound was performed according to:
Test guideline: OECD 423
Endpoint: LD50
Test organism: rat
The read-across prediction of the acute oral toxicity for the target substance was performed based on the approach “one to one”. - Principles of method if other than guideline:
- In order to meet regulatory needs, reliability of the predicted results should be assessed. In case of classic quantitative structure-activity relationships (QSAR) modelling, this idea can be realised by analysing, whether the predicted value is located within so-called applicability domain. The applicability domain is a theoretical region, defined by the range of toxicity values and structural descriptors for the training compounds, where the predictions may be considered as realistic ones. In a specific case of read-across, the assessment is performed based on the assessment of degree of similarity between the source and target compounds (in %). Moreover, the internal consistency of the group of source compounds (called „category” in OECD Toolbox nomenclature, independently which approach: analogue approach or category approach is used). The category consistency check could be based on the parameters describing the structural similarity and/or properties as well as mechanistic similarity of the tested compounds. For example, all members of the category (analogues as well as target substance) need to have the same functional groups and endpoint specific alerts.
In the case of read-across-based prediction of the acute oral toxicity of the zinc (II) glycine sulphate (VI) dihydrate, the read-across hypothesis considers that source and target compounds have similar transformation products. Based on the Dice measure, the structural similarity between hydrolysis products of source and target substances (besides glycine) was at least equal to 50%. Therefore, using experimental data of ZnSO4 for predicting biological activity for the target compound was justified.
Besides, the category consistencies, the boundaries of the applicability domain are verified by the critical value of log KOW. In case of n(Gly)SO4x2H2O, the log KOW value is not available. What is more, in case of “one to one” approach, this criterion would be met only if source and target compounds are the same substance. Thus, information that “domain is not defined” is not critical in this situation.
The structural similarity between the source (ZnSO4) and the target compound Zn(Gly)SO4x2H2O equals to 42.1% - Key result
- Dose descriptor:
- LD50
- Effect level:
- 1 500 mg/kg bw
- Interpretation of results:
- Category 4 based on GHS criteria
- Remarks:
- Migrated information Criteria used for interpretation of results: EU
- Conclusions:
- The oral LD50 =1500 MG/KG
Reference
Endpoint conclusion
- Endpoint conclusion:
- adverse effect observed
- Dose descriptor:
- LD50
- Value:
- 1 500 mg/kg bw
Acute toxicity: via inhalation route
Link to relevant study records
- Endpoint:
- acute toxicity: inhalation
- Type of information:
- (Q)SAR
- Adequacy of study:
- key study
- Study period:
- 2019
- Reliability:
- 1 (reliable without restriction)
- 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:
- Applied tool:
The OECD QSAR Toolbox, version 4.3
Procedure of analysis:
I. Profiling of the target substance in order to retrieve relevant information related to mechanism of action and observed or simulated metabolites
II. Category (source compounds) search based on selected criteria:
a. analogues have the same structural features as the target compound (subcategorization profiles: Sulphate, linear [-O-SO2-O-]Sulphite,
linear [-OS(=O)O-]Sulphur {v+4} or {v+6} Miscellaneous sulphide (=S) or oxide (=O) (Organic functional groups (US EPA))
b. analogues are structurally similar to the target compound (similarity >40%)
III. Data collection for the analogues (OECD Toolbox database/ECHA CHEM).
IV. Toxicity prediction for the target substance
V. Category consistency check in order to assess the quality of the prediction
Applied scenario:
Scenario 2
Toxicity prediction for the target substance:
This read-across is based on the fact that the organism is not exposed to common compounds but rather, as a result of similarity, to chemicals which have similar (eco)toxicological and fate properties.
The target substance is an organometallic compound containing zinc (Zn) centres, glycine (Gly) and zinc (II) sulphate (ZnSO4) ligands. The metallic centres of the substance are linked by oxygen coordination bonds of the Gly ligands.
The analogues are structurally similar to the target compound in more than 40%. Moreover,
analogues and target compound have the same structural features according to profiles:
Sulphate, linear [-O-SO2-O-]; Sulphite, linear [-OS(=O)O-] ; Sulphur {v+4} or {v+6} Miscellaneous sulphide (=S) or oxide (=O) (Organic functional groups (US EPA)). The only one MnSO4 analogue has been found according to the assumed requirements; therefore, it was used as the source compound. The acute inhalation toxicity for analogue was measured according to the OECD 403 and this value was taken into account for
the prediction.
The acute inhalation toxicity for the source compound was performed according to:
Test guideline: OECD 403
Endpoint: LC50
Test organism: rat
The read-across prediction of the acute inhalation toxicity for the target substance was performed based on the “one to one” approach. - Principles of method if other than guideline:
- In order to meet regulatory needs, reliability of the predicted results should be assessed. In case of classic quantitative structure-activity relationships (QSAR) modelling, this idea can be realised by analysing, whether the predicted value is located within so-called applicability domain. The applicability domain is a theoretical region, defined by the range of toxicity values and structural descriptors for the training compounds, where the predictions may be
considered as realistic ones. In a specific case of read-across, the assessment is performed based on the assessment of degree of similarity between the source and target compounds (in %). Moreover, the internal consistency of the group of source compounds (called „category” in OECD Toolbox nomenclature, independently which approach: analogue approach or category approach is used). The category consistency check could be based on the parameters describing the structural similarity and/or properties as well as mechanistic similarity of the tested compounds. For example, all members of the category (analogues as well as target substance) need to have the same functional groups and endpoint specific alerts.
In the case of read-across-based prediction of the acute inhalation toxicity of the zinc (II) glycine sulphate (VI) dihydrate, the read-across hypothesis considers that source and target compounds have the same structural features related to organic functional groups (US EPA).
Based on the Dice measure, the structural similarity between analogues and the target compound was higher than 40%. Therefore, using experimental data of MnSO4 for predicting biological activity for the target compound was justified.
Besides, the category consistencies, the boundaries of the applicability domain are verified by the critical value of log KOW. In case of Zn(Gly)SO4x2H2O, the log KOW value is not available. What is more, in case of “one to one” approach, this criterium would be met only if
source and target compounds are the same substance. Thus, information that “domain is not defined” is not critical in this situation.
Analogue search was based only on alerts for core of the target compound (Zn(Gly)SO4) which were the same as for source compound. Thus, information that “target chemical is out of domain” refers also to the alerts for hydration water and is not critical in this situation.
The structural similarity between the source (MnSO4) and the target compound Zn(Gly)SO4x2H2O equals to 42.1% - Dose descriptor:
- LC50
- Effect level:
- 4.45 mg/L air
- Interpretation of results:
- Category 4 based on GHS criteria
- Conclusions:
- The acute inhalation toxicity for the target substance is predicted at level LC50 = 4.45 mg/L air.
- Executive summary:
The target compound has the same structural features as source compound according to organic functional groups (US EPA). The analogues search was performed assuming at least 40% structural similarity between the source and target substances. The toxicity prediction was performed based on the experimental data included in the OECD QSAR Toolbox. Manganese (II) sulphate would have similar structural features (organic functional groups according to US EPA profiler) as well as the experimental data related to its acute inhalation toxicity was available. Therefore, the prediction is based only on the MnSO4.
Reference
Endpoint conclusion
- Endpoint conclusion:
- adverse effect observed
- Dose descriptor:
- LC50
- Value:
- 4.45 µg/m³ air
Acute toxicity: via dermal route
Link to relevant study records
- Endpoint:
- acute toxicity: dermal
- Type of information:
- experimental study
- Adequacy of study:
- key study
- Study period:
- 2019
- Reliability:
- 1 (reliable without restriction)
- 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:
- The computational simulation was performed based on the read-across approach.The readacross is one of the so-called alternative test methods recommended by REAC, where the predictions are based on the experimental data available for the most similar compounds. The predictions were performed according to the Read-Across Assessment Framework (RAAF), which assumes six different risk assessment scenarios of chemical compounds.
Applied tool:
The OECD QSAR Toolbox, version 4.3
Procedure of analysis:
I. Profiling of the target substance in order to retrieve relevant information related to mechanism of action and observed or simulated metabolites
II. Category (source compounds) search based on selected criteria:
a. analogues are aliphatic amines according to US-EPA New Chemical Categories
b. analogues are structurally similar to the target compound (similarity >20%)
c. analogues have the same alert “High level” according to the Cramer profile.
III. Data collection for the analogues (OECD Toolbox database/ECHA CHEM).
IV. Toxicity prediction for the target substance
V. Category consistency check in order to assess the quality of the prediction
This read-across is based on the fact that the organism is not exposed to common compounds but rather, as a result of similarity, to chemicals which have similar (eco)toxicological and fate properties.
The target substance is an organometallic compound containing zinc (Zn) centres, glycine (Gly) and zinc (II) sulphate (ZnSO4) ligands. The metallic centres of the substance are linked by oxygen coordination bonds of the Gly ligands.
The target and source chemicals are classified as “Aliphatic amines” according to US-EPA New Chemical Categories and have the same “High level” alert responsible for the toxic effect based on the Cramer profiler. Moreover, analogues are structurally similar to the target compound in more than 20%. The acute dermal toxicity for analogue was measured according to the OECD 402. The prediction was based on the monoethanolamine thioglycolate. The acute dermal toxicity for the source compound was performed according to:
Test guideline: OECD 402
Endpoint: LD50
Test organism: rat
The read-across prediction of the acute dermal toxicity for the target substance was performed based on the approach “one to one”. - Principles of method if other than guideline:
- In order to meet regulatory needs, reliability of the predicted results should be assessed. In case of classic quantitative structure-activity relationships (QSAR) modelling, this idea can be realised by analysing, whether the predicted value is located within so-called applicability domain. The applicability domain is a theoretical region, defined by the range of toxicity values and structural descriptors for the training compounds, where the predictions may be considered as realistic ones. In a specific case of read-across, the assessment is performed based on the assessment of degree of similarity between the source and target compounds (in %). Moreover, the internal consistency of the group of source compounds (called „category” in OECD Toolbox nomenclature, independently which approach: analogue approach or category approach is used). The category consistency check could be based on the parameters describing the structural similarity and/or properties as well as mechanistic similarity of the tested compounds. For example, all members of the category (analogues as well as target substance) need to have the same functional groups and endpoint specific alerts.
In the case of read-across-based prediction of the acute dermal toxicity of the zinc (II) glycine sulphate (VI) dihydrate, the read-across hypothesis considers that source and target compounds have the same structural features related to “Aliphatic amines” (US EPA New Chemical Categories) and have the same “High level” alert responsible for the toxic effect based on the Cramer profiler. Based on the Dice measure, the structural similarity between analogues and the target compound was equal to 27.3%. The prediction was based on the monoethanolamine thioglycolate.
Besides, the category consistencies, the boundaries of the applicability domain are verified by the critical value of log KOW. In case of Zn(Gly)SO4x2H2O, the log KOW value is not available. What is more, in case of “one to one” approach, this criterion would be met only if source and target compounds are the same substance. Thus, information that “domain is not defined” is not critical in this situation. In case of structural similarity and toxic classification the information that “target chemical is out of domain” is caused by different alerts for the main core of the compound (Zn(Gly)SO4) and hydration water. Analogue search was based only on alerts for core of the target compound (Zn(Gly)SO4) which were exact the same as for source compound. Thus, information that “target chemical is out of domain” refers also to the alerts for hydration water and is not critical in this situation.
The structural similarity between the source (monoethanolamine thioglycolate) and the target compound Zn(Gly)SO4x2H2O equals to 27.3%. - GLP compliance:
- no
- Remarks:
- QSAR
- Dose descriptor:
- LD50
- Effect level:
- 2 000 mg/kg bw
- Interpretation of results:
- Category 4 based on GHS criteria
- Conclusions:
- The acute dermal toxicity for the target substance is predicted at level LD50 = 2000 mg/kg bdwt
- Executive summary:
The target compound has the same structural features as source compound according to organic functional groups (US EPA) and have the same “High level” alert responsible for the toxic effect based on the Cramer profiler. The analogues search was performed assuming at least 20% structural similarity between the source and target substances. The toxicity prediction was performed based on the experimental data included in the OECD QSAR Toolbox. Monoethanolamine thioglycolate would have the similar structural features (organic functional groups) and cause similar toxic effect (“High level” alert in Cramer profile) as well as the experimental data related to its acute dermal toxicity was available. Therefore, the prediction is based only on the monoethanolamine thioglycolate.
Reference
Endpoint conclusion
- Endpoint conclusion:
- adverse effect observed
- Dose descriptor:
- LD50
- Value:
- 2 000 mg/kg bw
Additional information
Justification for classification or non-classification
Based on QSAR test the substance is classified as dangerous (category 4).
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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