the detergent industry’s - aise...the detergent industry’s challenges under clp assuring...
TRANSCRIPT
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The detergent industry’s
challenges under CLP
Assuring appropriate skin and eye classifications
Gerard Luijkx, Unilever, Chairman of the AISE C&L SG
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Industry’s objective:
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Safe use of our
products
Appropriate
Classification &
Labelling
Transparent process Legal robustness
Sound Science Consistent within the
sector
Optimal use of data
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CLP: Several classification challenges
• Environment: introducing chronic classification for readily
(bio)degradables
• Sensitisation: new skin sensitisation sub category 1A
• Corrosion to metals
• And last but not least: skin and eye irritation/corrosivity
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CLP: data hierarchy
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Data on the mixture itself*?
Data on similar tested mixtures
(bridging principles)?
Calculation based on
ingredient classification
*No human testing for classification
purposes, no new animal testing.
Data generation: in vitro methods
classify
classify
classify
Article 6 and Annex I
of CLP
http://www.google.nl/url?sa=i&rct=j&q=&esrc=s&frm=1&source=images&cd=&cad=rja&docid=zrhHcw_ImNkf2M&tbnid=XP6aV9751NDNgM:&ved=0CAUQjRw&url=http://forums.qj.net/general-off-topic/163594-pictogram-game.html&ei=3gzYUqTiOOiq0QXc54CgDg&psig=AFQjCNFsH4TMN6ZyQ3xTylQl9j9ILWzHGg&ust=1389976800379137
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DPD versus CLP
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CLP introduced new classification criteria according to UN
GHS in Europe
The application of additivity principles of CLP often result
in a more severe classification for eye and skin hazards
when compared to the former Dangerous Preparations
Directive (DPD)
http://upload.wikimedia.org/wikipedia/commons/a/a1/GHS-pictogram-acid.svg//upload.wikimedia.org/wikipedia/commons/c/c3/GHS-pictogram-exclam.svghttp://www.google.nl/url?sa=i&rct=j&q=&esrc=s&frm=1&source=images&cd=&cad=rja&docid=zrhHcw_ImNkf2M&tbnid=XP6aV9751NDNgM:&ved=0CAUQjRw&url=http://forums.qj.net/general-off-topic/163594-pictogram-game.html&ei=3gzYUqTiOOiq0QXc54CgDg&psig=AFQjCNFsH4TMN6ZyQ3xTylQl9j9ILWzHGg&ust=1389976800379137
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Classification for eye irritation/corrosion
by calculation
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DPD Classification threshold, Symbol,
indication of danger, Risk phrase
Concentration
%
CLP Classification threshold,
Pictogram, SIGNAL WORD, Category,
Hazard statements
≥ 10 %, „Irritant“
„Risk of serious damage to eyes“
10 –100 ≥ 3 % DANGER,
Eye Cat. 1
„Causes serious eye damage“
≥ 5 to < 10 %, „Irritant“
„Irritating to eyes“
5 – 10
0 to < 5 %: no labelling
3 – 5
1 – 3 ≥ 1 to < 3 % WARNING, Eye Cat. 2 „Causes serious eye irritation“
0 – 1 0 to < 1 %: no labelling
DPD versus CLP Calculation of mixture classification based on content of an Eye cat 1 ingredient
http://upload.wikimedia.org/wikipedia/commons/a/a1/GHS-pictogram-acid.svg//upload.wikimedia.org/wikipedia/commons/c/c3/GHS-pictogram-exclam.svghttp://www.google.nl/url?sa=i&rct=j&q=&esrc=s&frm=1&source=images&cd=&cad=rja&docid=zrhHcw_ImNkf2M&tbnid=XP6aV9751NDNgM:&ved=0CAUQjRw&url=http://forums.qj.net/general-off-topic/163594-pictogram-game.html&ei=3gzYUqTiOOiq0QXc54CgDg&psig=AFQjCNFsH4TMN6ZyQ3xTylQl9j9ILWzHGg&ust=1389976800379137
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Classification for skin irritation/corrosion
by calculation
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DPD versus CLP Calculation of mixture classifcation based on content of a Skin cat 1 ingredient
DPD Classification threshold, Symbol,
indication of danger, Risk phrase
Concentration
%
CLP Classification threshold,
Pictogram, SIGNAL WORD, Category,
Hazard statements
≥ 10 %, „Corrosive“,
„Causes burns“
+CRC and TWD
10 -100 ≥ 5 %
DANGER, Cat. 1;
„Causes severe skin burns and eye
damage“
+CRC and TWD ≥ 5 to < 10 %, „Irritant“
„Irritating to skin“
5 - 10
0 to < 5 %: no labelling 1 - 5 ≥ 1 % to < 5 %
WARNING, Cat. 2;
„Causes skin irritation“
0 - 1 0 to < 1 %:
no labelling
http://upload.wikimedia.org/wikipedia/commons/a/a1/GHS-pictogram-acid.svg//upload.wikimedia.org/wikipedia/commons/c/c3/GHS-pictogram-exclam.svg
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Classification for eye irritation/corrosion
by calculation
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Using calculation, a
majority of daily-use
detergents would be
classified Eye
Damage Cat 1 with
the same pictogram
as a drain cleaner
N
OW
P
AS
T
?
http://www.google.nl/url?sa=i&rct=j&q=&esrc=s&frm=1&source=images&cd=&cad=rja&docid=zrhHcw_ImNkf2M&tbnid=XP6aV9751NDNgM:&ved=0CAUQjRw&url=http://forums.qj.net/general-off-topic/163594-pictogram-game.html&ei=3gzYUqTiOOiq0QXc54CgDg&psig=AFQjCNFsH4TMN6ZyQ3xTylQl9j9ILWzHGg&ust=1389976800379137
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Very different hazard profile
same pictogram?
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http://www.google.nl/url?sa=i&rct=j&q=&esrc=s&frm=1&source=images&cd=&cad=rja&docid=zrhHcw_ImNkf2M&tbnid=XP6aV9751NDNgM:&ved=0CAUQjRw&url=http://forums.qj.net/general-off-topic/163594-pictogram-game.html&ei=3gzYUqTiOOiq0QXc54CgDg&psig=AFQjCNFsH4TMN6ZyQ3xTylQl9j9ILWzHGg&ust=1389976800379137
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Classification for skin/eye
irritation/corrosion
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Appropriate classification and labelling is essential for
safe use by consumers/users.
Truly hazardous products must be distinguished from
regular detergents to avoid:
• confusion between products’ hazards by consumers
• ‘Inflation’ of the importance of the hazard pictograms
• overtreatment in case of accidental exposure
Test data on mixtures have a higher likelihood to reflect
actual effects on man versus calculation
http://www.google.nl/url?sa=i&rct=j&q=&esrc=s&frm=1&source=images&cd=&cad=rja&docid=zrhHcw_ImNkf2M&tbnid=XP6aV9751NDNgM:&ved=0CAUQjRw&url=http://forums.qj.net/general-off-topic/163594-pictogram-game.html&ei=3gzYUqTiOOiq0QXc54CgDg&psig=AFQjCNFsH4TMN6ZyQ3xTylQl9j9ILWzHGg&ust=1389976800379137
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CLP: making good use of data hierarchy
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Data on the mixture itself*?
Data on similar tested mixtures
(bridging principles)?
Calculation based on
ingredient classification
*No human testing for classification
purposes, no new animal testing.
Data generation: in vitro methods
classify
classify
classify
TEST THE MIXTURE
IN VITRO (or use
existing mixture data)
BRIDGING
PRINCIPLES
(to similar tested
mixtures e.g. DetNet)
CALCULATION
Article 6 of CLP
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Thank you!
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