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What is FACET?

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UCD, CREMe. Country. Short Name. 6. Work-Packages. 10 Work-packages to ... 8. Databases & Modelling CREMe (C. McNamara) 9. Concentration Data CIAA (B. Kettlitz) ... – PowerPoint PPT presentation

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Title: What is FACET?


1
What is FACET?
  • FACET Flavourings, Additives (food), Contact
    materials, Exposure Task
  • EU funded project 5.8 Mio.
  • some Member State funding 1 Mio
  • some industry funding 520,000
  • FACET will be an exposure based, risk management
    tool for
  • DGSANCO
  • Member States
  • EFSA
  • Industry

2
Outputs of FACET project - 1
  • Databases/Lists
  • Harmonised database on nationally available food
    intake data (8 EU countries)
  • Database on occurrence of substances in food
    packaging
  • Extended harmonised food consumption database for
    regional modelling and risk assessment for
    filling data gaps
  • List of all substances used in food contact
    materials

3
Outputs of FACET project - 2
  • Models/Tools
  • Migration model for multi-layer and
    multi-material packaging
  • QSAR tool to estimate toxicity of food contact
    substances
  • Free, publicly available PC software for
    estimating exposure to target food chemicals and
    food migrants
  • Sustainability and acceptability ensured
  • Filling data gaps by modelling

4
FACET
  • 4 year project from 1st August 2008
  • 20 partners, including an industry consortium
    FIG Facet Industry Group
  • FIG currently consists of 14 trade associations
    see later
  • Packaging covered
  • Paper and board
  • Plastics
  • Metal

5
Partners

Short Name Country
KTL Finland
STFI Sweden
CFRI Hungary
FCNAUP Portugal
USC Spain
IZZ Poland
INCDTIM Romania
Short Name Country
UCD, CREMe Ireland
UU, CSL, FCRA UK
CEPE - FIG, CIAA Belgium
AFSSA France
INRAN, JRC Italy
TUM, FABES, Fraunhofer Germany
6
Work-Packages
  • 10 Work-packages to address diversity of project
  • 1. Management UCD (M. Gibney)
  • 2. Flavourings INRAN (C. LeClercq)
  • 3. Additives AFSSA (J.L. Volatier)
  • 4. Packaging CSL (L. Castle)
  • 5. Food Intake UU (A. McKevitt)
  • 6. Chemical Occurrence UCD (M. Gibney)
  • 7. Regional Modelling FCRA (D. Tennant)
  • 8. Databases Modelling CREMe (C. McNamara)
  • 9. Concentration Data CIAA (B. Kettlitz)
  • 10. Dissemination UCD (M. Gibney)

7
Who is involved in WP4?
  • Nine partners of packaging part of FACET
  • CSL partner 03
  • FIG partner 04
  • FABES partner 09
  • Fraunhofer partner 10
  • STFI partner 12
  • USC partner 16
  • NIRDIM partner 18
  • JRC partner 21

8
Partners in FIG
  • Today 12 Associations have signed up to FIG
  • APEAL steel
  • CEFIC-FCA additives for packaging
  • CEPE/EuPIA coatings and inks
  • CEPI paper and board
  • CIAA food industry
  • EAA aluminium
  • EMPAC canmakers
  • EUPC plastic converters
  • EWF wax federation
  • FEICA adhesives
  • FPE multilayer plastic converters
  • Plastics Europe plastic suppliers

9

10
The role of food packaging in FACET - 1
  • Packaging accounts for gt 50 of budget
    significantly more if all of packaging industrys
    in-kind contributions are taken into account.
  • FIGs main focus is WP4.1 - split into 5
  • WP4.1.1 Compile an inventory list
  • WP4.1.2 Occurrence / concentration
  • WP 4.1.3 Linking packaging to foodstuffs
  • WP 4.1.4 Linking substances to foodstuffs
  • WP 4.1.5 Filling data gaps

11
The role of food packaging in FACET - 2
  • Whilst FIGs main focus is WP4.1, FIG also has
    expertise in QSAR, stochastic modelling and
    exposure assessments.
  • FIG will also be involved in
  • WP4.2 migration modelling
  • WP4.3 QSAR
  • WP5 food intake (coding issues)
  • WP6 chemical occurrence
  • WP7 regional modelling
  • WP8 databases and exposure modelling
  • WP10 dissemination certainly to industry

12
WP4. Food Packaging
  • Objectives
  • To obtain information on the chemical composition
    of food packaging materials
  • To link foods consumed with concentration of
    migrants from its packaging
  • To establish a migration modelling framework to
    deliver realistic estimates of exposure for
    subsequent use in risk assessment.

13

Packaging
Usage data Coverage
issues Concentration data Updating
issues Treatment of uncertainty data gaps
Coding issues
Computation User interfaces
Documentation Validation
Consumer buy-in Modelling tools Treatment of high
consumers QSAR Correlation factors
Food consumption database
Flavours
Additives
14
  • Examples of data required
  • 1. Packaging specific food groups
  • 2. Packaging usage data
  • 3. Concentration data
  • of substance in packaging
  • of migrant in food/simulant
  • 4. Substance occurrence
  • 5. Market shares for
  • packaging type
  • food type
  • substance usage
  • 6. Total surface area of packaging produced
  • 7. Area / volume (S/V)
  • 8. storage conditions
  • 9. Pack size(s)

Packaging
QSAR Modelling toxicology Structure of migrant
needed
Usage data Coverage
issues Concentration data Updating
issues Treatment of uncertainty data gaps
Coding issues
Computation User interfaces
Documentation Verifica
tion
Consumer buy-in Modelling tools Treatment of high
consumers, vulnerable groups Correlation factors
Food consumption database
Flavours
Additives
Black box
Exposure estimate FACET Objective
15
Data required - 1
  • Lists of substances used in packaging
  • Occurrence of substances in those packaging types
  • Concentration estimates for each substance in
    that packaging type for modelling
  • Packaging estimates (by type) for each foodstuff
    consumed
  • Use market share of each packaging type within
    each food group (sum to 100 within food group)
    to give a range

16
Data required - 2
  • Consumption estimates for each food group
  • Concentration estimates of migrant in each food
    group
  • Exposure the sum of (migrant concentration x
    weight foodstuff consumed) for each and every
    individual over the lifetime of the survey
  • Packaging loyalty can be modelled in different
    ways and at various levels. Needs further
    discussion and some research

17
Substance Lists
  • What substances are used for food contact
    materials?
  • Construct Lists from
  • Plastics - 2002/72/EC amendments
  • Coatings - AP(2004)1 CEPE C-o-P
  • Paper board BFR
  • Inks non-food contact surface coatings - EUPIA
    inventory list
  • Adhesives BFR FDA
  • Colorants?

18
Occurrence Data - 1
  • Which packaging materials could contain that
    substance?
  • Use information about
  • Plastic composition
  • Paper composition
  • Coating composition
  • Adhesive composition
  • Inks/externals composition
  • Nature of packaged foodstuffs (i.e. restrictions
    on use etc)

19
Occurrence Data - 2
  • What is the likelihood that the substance is in
    that packaging/coating/adhesive?
  • Use market share data for the substance use for
    each application and type of package i.e
    antioxidant A has a 50 M/S for polythene, but
    10 for polypropylene
  • NOTE that this is a different market share to the
    amount of a foodstuff packaged in that FCM.

20
Occurrence Data - 3
  • Substance occurrence input also needed could
    it be in both fatty and non-fatty food packaging.
  • Look at use restrictions

21
Concentration Data
  • Concentration of substance in FCM for use in
    modelling migrant concentration. Need
  • Typical concentration ranges (expert judgement)
  • Layer thickness
  • Time / temperature of storage
  • Differentiate between food contact layer and
    others.
  • Concentration of substance in simulants
  • Concentration of substance in real foodstuffs.

22
Packaging Usage Data - 1
  • Define food groups relevant for packaging
  • Link with WP5 (food intake)
  • Link with HUB Codes
  • Identification of types of packaging materials
    used for each food group
  • MATRIX project may need to further subdivide
    paper board and coatings
  • STFI project inks and coatings
  • PITJIF for inks
  • CSL pan-European model (for some?)
  • Migresives project for adhesives?

23
Packaging Usage Data - 2
  • Estimation of market shares for each FCM for each
    food group
  • Will need wherever possible to sub-divide to
    avoid worst case assumptions i.e. split fish
    into oily (fatty) and aqueous otherwise will
    have to assume migrant concentration levels in
    simulant D or D/X rather than A
  • Calculation of rigid packaging surface area to
    volume (S/V) ratio range
  • Flexibles still unclear on S/V ratio but could do
    average surface area vs weight packed

24
Data required depends on final use - 1
  • If the ideal objective is that user could enter
    only substance name and get an exposure
    assessment, then
  • Need to provide either data or default fallback
    assumption for every type of input
  • Need to inform user what defaults are being used
    and then they have the option to reject or modify
    them

25
Data required depends on final use - 2
  • Realistically data cannot be provided for every
    combination so need a wizard in software that
    identifies essential gaps and requests user to
    fill them in before completing assessment
  • Alternative would be for user to complete
    assessment excluding affected food groups or
    packaging types
  • In this case it should be made clear that the
    exposure assessment is an under-estimate

26
Exposure Model Outputs
  • FIG to indicate options they want for migrants
    from FCMs e.g.
  • Which percentile (s)
  • Age and gender groups
  • Vulnerable groups
  • Europe or regional
  • mg/kg body weight/day
  • mg/person/day
  • Exposure drivers (food groups)
  • However outputs will depend on consumption data
    available and its suitability for these needs.

27
What will FACET do?
  • Estimate EU consumer exposure to
  • Food Additives
  • Food Flavourings
  • Migrants from food contact materials, including
    those from non-direct food contact layer
  • Offer a risk management tool for migrants from
    food packaging, through the use of
  • Exposure estimates
  • QSAR
  • Other exposure toxicological tools e.g. Cramer
    classes

28
Structure of FIG - 1
  • Paper board (PB)
  • Laminated
  • Non-laminated
  • Plastics (P)
  • Monolayer
  • Multilayer
  • Metal (M)
  • Coated
  • Uncoated
  • Externals (E)
  • Adhesives (A)
  • Glass (?)

29
Structure of FIG - 2
  • FIG consists of
  • Admin - FIG
  • Steering FIG
  • FIG task forces
  • Sector groups
  • All of which need to interact with each other
    and other partners to ensure consistency of
    approach

30
Steering - FIG Structure
  • Work Package Leader non-industry project
    manager
  • Laurence Castle (CSL) Aine Hearty (UCD)
  • Chair and deputy chairs
  • Chair Peter Oldring (PO)
  • Deputy chairs - Nigel Barnwell (NB), Bart Brands
    (BB), Fred Savrij Droste (FD)
  • Sector groups
  • Paper and board NB, John Swift ?
  • Plastics BB, Dario Dainelli, Mark Vints
  • Metal FD, Ron Colwell, Thomas Dirnberger
  • Externals Sandro Leuenberger ?
  • Business Martin Reynolds Ralf Eisert ?
  • Secretariat Anne Marie Hamelton, Christian
    Jassogne, Jacques Warnon

31
Responsibilities of Steering FIG
  • To manage overall technical activities of FIG
  • Co-ordinate activities of the different sectors
  • Set up ad hoc-task forces, as necessary
  • Liaise with other project partners, including the
    non-packaging partners
  • To ensure full integration with existing projects
    Matrix, CSL, STFI.
  • Co-opt experts as and when appropriate
  • Disseminate information to FIG membership
  • Prepare reports etc, as required by DGRESEARCH,
    in a timely manner
  • Ensure that submissions for milestones and
    deliverables are prepared and submitted on time

32
FIG Task Forces
  • FIG task forces
  • Will be set up to achieve specific tasks
  • Not a purely technical exercise market data
    needed
  • Some task forces will be specific to a sector
    group
  • Others across all packaging sectors

33
Rigid Metal Sector Group - TSC 30
  • Joint Industry Group for light metal packaging
    (JIG) has fully supported the use of exposure to
    derive realistic risk estimates (TSC 4)
  • The participation of JIG in FIG will be through
    TSC 30 chaired by Ron Colwell.
  • TSC 30 group being formed

34
Position of DGSANCO
  • DGSANCO were involved in the call for FP7 and
    suggested appropriate wording for FCMs
  • At last Member State meeting DGSANCO stated that
    they would consider exposure driven legislation
    when a suitable tool was available

35
Potential Consequences of FACET
  • Exposure driven legislation will bring EU closer
    to FDA approach with end uses rather than
    substances being approved.
  • Exposure rather than substance driven approach
  • Reduced dossiers could be accepted when migration
    exceeds 50 ppb, provided that exposure doesnt
    exceed 50 µg/person/day.
  • Reduction in (management of) scares relating to
    substance of the month
  • A standardised risk measurement tool which will
    give same answer to industry and regulators

36
Coatings Code of Practice FACET
  • In order to comply with Art. 3 of 1935/2004 we
    need an accepted (EFSA, DGSANCO, Member States
    and industry) tool to deal with NIAS
  • Tool needs to combine different approaches
  • TTC (Threshold of Toxicological Concern) ILSI
    group active
  • Use of Cramer Classes
  • Use of QSAR
  • Use of exposure
  • FACET risk management tool
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