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MERAG Fact sheet : Classification for effect on the aquatic environment of metalsmetal compounds

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Title: MERAG Fact sheet : Classification for effect on the aquatic environment of metalsmetal compounds


1
MERAG Fact sheet Classification for effect on
the aquatic environment of metals/metal compounds
  • Hugo Waeterschoot (ENIA), Marnix Vangheluwe
    (EURAS),
  • Bill Adams and Katrien Delbeke (ICA), Frank Van
    Assche (IZA)
  • and Violaine Verougstraete (Eurometaux)

2
MERAG
  • MERAG
  • Metal Risk Assessment Guidance Document (fact
    sheets)
  • Published January 20
  • International in nature and extensively reviewed
    and peer reviewed
  • Objective
  • Aimed at consolidation technical and scientific
    knowledge on metals which advanced significantly
    over last couple of years.
  • Incorporation of new concepts and improvements
    for RA Cl L
  • Bioavailability, statistical extrapolation,
  • Critical Reference Surface Area
  • Critical Particle Size

http//www.euras.be/merag
3
Aims and presentations
  • Generic Aim Review metals (compounds)
    environmental classification strategy and tools
    to provide self-classification guidance to
    industry for the future
  • Presentations
  • Intro raising the subjects (Hugo Waeterschoot)
  • Experience with the Transformation Dissolution
    protocol (Bill Adams)
  • Effects part of the env. Cll equation (Frank Van
    Assche)
  • Exposure part and Classification approaches
    (Katrien Delbeke)
  • Persistency/Degradation how to interpret for
    metals (compounds) (Bill Adams)
  • We aim to update MERAG fact sheet and use outcome
    for RIP 3.6 and an interpretation guidance on GHS
    Cll for metals and metal compounds
  • Relevancy of the ClL approach for metals is
    broader and may include many other inorganic
    materials including matrix type
    materials/preparations like alloys.

4
Generic issues
  • Metals are data rich
  • Effects data sets how to handle them
  • Metals have specific particularities
  • Solubility differs for different physical forms
  • Metal Surface corresponds with loading
  • Need for specific approaches
  • Cf. EU and OECD/GHS Classification strategy and
    testing protocols (eg Transformation dissolution
    protocol)
  • Further improvements possible eg Critical
    Surface approach
  • Further application of existing approaches to
    alloys

5
Generic Classification strategy
  • Present classification scheme well accepted
  • Outstanding issues
  • Further validation of Transformation dissolution
    protocol
  • Guidance on the degradability term (removal
    from the water column)
  • Rigid nature of the Screening (24h) test

6
Classification strategy metal/metal compounds
7
Data richness
  • Derivation of Ecotoxicity Reference value
  • Data selection
  • Data aggregation
  • Data treatment

8
Derivation ecotoxicity reference value
  • Base approach
  • Data compilation reliability and relevance
  • Aggregation of high quality toxicity data
  • Select lowest for reference value for different
    pH classes
  • Refined Tier
  • Data compilation reliability and relevance
  • Refined data aggregation techniques (SSDs )
  • Normalisation of reference value using
    Bioavailability models
  • Normalise to reference pH values (eg. 8 or 6, )

Tiered approach allowed applying refinement when
needed or data are available
9
Data compilation selection
Reliability
  • 1. Type of test
  • 2. Description of test material methods
  • 3. Description of physico-chemical test
    conditions
  • 4. Chemical analysis
  • 5. Concentration-effect relationship
  • 6. Derivation of toxicity values

10
Data compilation selection
Relevance
  • 1. Biological relevance of endpoints (survival,
    growth, )
  • 2. Relevancy of test substance (impurities)
  • 3. Relevancy of test medium (natural vs
    artificial, TDp medium)
  • 4. Relevancy of species
  • endemic and non-endemic could be used
  • focus to standard species in classification
  • 5. Relevancy of exposure duration
  • 6. Acclimation/adaptation
  • relevancy of culture medium

11
Data aggregation classical way
  • 1. Grouping of data
  • grouping per species/endpoint
  • grouping according to physico-chemical properties
    such as pH (or normalized using bioavailability
    models)
  • 2. Geometric mean
  • 3. Lowest value based on different
    endpoints/species
  • 4. Most sensitive life stage

12
Refined Data aggregation
ERV HC5
Derivation of ERV-SSD approach
13
Normalisation of effects data
Algae tox data pH 6b
Daphnids tox data pH 6b
Fish tox data pH 6a
Algae tox data pH 6a
Daphnids tox data pH 6a
Fish tox data pH 6b
14
Refined approaches
  • Critical surface approach
  • Dose surface for inorganics !
  • Allows to classify any powder size based on the
    intrinsic property solubility
  • Enables self classification for massives, powders
  • And Limits potential testing needs under REACH
  • Application of the TDp to
  • Other inorganics
  • Originally developed for metals and sparingly
    soluble metals, but can be extended to other
    matrix type inorganics like alloys

15
Critical surface approach
16
Application to matrix type substances like alloys
  • Hazards of Matrix type substances are different
    as of the constituents !
  • Aquatic toxicity driven by dissolved and
    Bioavailable fraction
  • TDp allows for measuring the dissolved fraction
    for the different components
  • Testing on the dissolution medium

17
Classification strategy metal/metal compounds (A)
Classification of soluble form
Default classification metals and SSMC
18
Classification strategy metal/metal compounds (B)
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