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Aggregate Exposure Assessment for
the Safety Evaluation of Fragrance
Materials
Cian O’ Mahony, Chief Science Officer
Aggregate Exposure for Fragrances
Aggregate Exposure
Data Sources
Creme RIFM
Aggregate Exposure Modelling
𝐴𝑔𝑔 𝐸𝑥𝑝 =
𝐹𝑟𝑒𝑞𝑢𝑒𝑛𝑐𝑦 × 𝐴𝑚𝑜𝑢𝑛𝑡 × 𝑅𝑒𝑡𝑒𝑛𝑡𝑖𝑜𝑛 × 𝐶𝑜𝑛𝑐𝑒𝑛𝑡𝑟𝑎𝑡𝑖𝑜𝑛
𝑆𝑢𝑟𝑓𝑎𝑐𝑒 𝐴𝑟𝑒𝑎
Aggregate Exposure Modelling
𝐴𝑔𝑔 𝐸𝑥𝑝 =
𝐹𝑟𝑒𝑞𝑢𝑒𝑛𝑐𝑦 × 𝐴𝑚𝑜𝑢𝑛𝑡 × 𝑅𝑒𝑡𝑒𝑛𝑡𝑖𝑜𝑛 × 𝐶𝑜𝑛𝑐𝑒𝑛𝑡𝑟𝑎𝑡𝑖𝑜𝑛
𝑆𝑢𝑟𝑓𝑎𝑐𝑒 𝐴𝑟𝑒𝑎
Aggregate Exposure Modelling
𝐴𝑔𝑔 𝐸𝑥𝑝 =
𝐹𝑟𝑒𝑞𝑢𝑒𝑛𝑐𝑦 × 𝐴𝑚𝑜𝑢𝑛𝑡 × 𝑅𝑒𝑡𝑒𝑛𝑡𝑖𝑜𝑛 × 𝐶𝑜𝑛𝑐𝑒𝑛𝑡𝑟𝑎𝑡𝑖𝑜𝑛
𝑆𝑢𝑟𝑓𝑎𝑐𝑒 𝐴𝑟𝑒𝑎
Aggregate Exposure Modelling
𝐴𝑔𝑔 𝐸𝑥𝑝 =
𝐹𝑟𝑒𝑞𝑢𝑒𝑛𝑐𝑦 × 𝐴𝑚𝑜𝑢𝑛𝑡 × 𝑅𝑒𝑡𝑒𝑛𝑡𝑖𝑜𝑛 × 𝐶𝑜𝑛𝑐𝑒𝑛𝑡𝑟𝑎𝑡𝑖𝑜𝑛
𝑆𝑢𝑟𝑓𝑎𝑐𝑒 𝐴𝑟𝑒𝑎
Aggregate Exposure Modelling
𝐴𝑔𝑔 𝐸𝑥𝑝 =
𝐹𝑟𝑒𝑞𝑢𝑒𝑛𝑐𝑦 × 𝐴𝑚𝑜𝑢𝑛𝑡 × 𝑅𝑒𝑡𝑒𝑛𝑡𝑖𝑜𝑛 × 𝐶𝑜𝑛𝑐𝑒𝑛𝑡𝑟𝑎𝑡𝑖𝑜𝑛
𝑆𝑢𝑟𝑓𝑎𝑐𝑒 𝐴𝑟𝑒𝑎
Aggregate Exposure Modelling
𝐴𝑔𝑔 𝐸𝑥𝑝 =
𝐹𝑟𝑒𝑞𝑢𝑒𝑛𝑐𝑦 × 𝐴𝑚𝑜𝑢𝑛𝑡 × 𝑅𝑒𝑡𝑒𝑛𝑡𝑖𝑜𝑛 × 𝐶𝑜𝑛𝑐𝑒𝑛𝑡𝑟𝑎𝑡𝑖𝑜𝑛
𝑆𝑢𝑟𝑓𝑎𝑐𝑒 𝐴𝑟𝑒𝑎
Aggregate Exposure Modelling
𝐴𝑔𝑔 𝐸𝑥𝑝 =
𝐹𝑟𝑒𝑞𝑢𝑒𝑛𝑐𝑦 × 𝐴𝑚𝑜𝑢𝑛𝑡 × 𝑅𝑒𝑡𝑒𝑛𝑡𝑖𝑜𝑛 × 𝐶𝑜𝑛𝑐𝑒𝑛𝑡𝑟𝑎𝑡𝑖𝑜𝑛 × 𝑃𝑒𝑛𝑒𝑡𝑟𝑎𝑡𝑖𝑜𝑛
𝐵𝑜𝑑𝑦 𝑊𝑒𝑖𝑔ℎ𝑡
Daily Aggregate Exposure
Population Exposure Modelling
Frequency of Use
Survey Demographics
Age groups EU US
Male Female Male Female
18-24 1490 2557 412 1228
25-34 2980 3078 603 1954
35-49 4230 4763 838 2200
50-64 3210 2966 748 1541
65+ 560 375 289 424
Total 12470 13739 2890 7347
Online Consumption Diaries
•Mass Market
•Prestige
•Other
Body Lotion
•Deodorant/Anti-Perspirant Spray
•Deodorant/Anti-Perspirant NonSpray
•Body Spray
Deodorant
•Toothpaste
•MouthwashOral Care
•Lipstick
•Liquid/Makeup Foundation
•Hair Styling Products
•Hairspray
Cosmetic Styling
•Eau de Toilette
•Eau de Parfum
•After Shave / Cologne (Splash-on)
Hydroalcholics
•Showergel / Body Wash
•Shampoo
•Rinse-off Conditioner
Shower Products
• Face Moisturizer
• Hand CreamMoisturizers
•Liquid hand soap
•Bar SoapSoaps
Application Sites
US
• 2007-2008 NHANES survey
Bodyweight and height data for
8,861 US subjects
EU
• NHANES data scaled based
on EU country average
weights and heights
Bodyweight and Height
Surface Area Calculations
𝑆𝐴 = 𝑎 × 𝑊 𝑏
× 𝐻 𝑐
Dubois Formula
→ head, trunk, arms, hands,
legs and feet
Surface Area Calculations
Body Part Surface Area
Scalp 1/2 Head
Neck 1/10 Trunk
Chest 1/4 Trunk
Stomach 1/5 Trunk
Back 3/10 Trunk
Arms Arms – (1/4 Hands)
Wrists 1/4 Hands
Palms 1/2 Hands
Intimate parts 1/100 Total Body
Body Part Surface Area Reference
Face 1/2 Head – 28.8cm2 Api et al. (2008); 28.8 cm2 refers to combined surface areas of eyes and lips
Eyes 24cm2 Bremme et al. (2003)
Lips 4.8cm2 Ferrario et al. (2000)
Mouth 212cm2 Collins and Dawes, (1987), Ferrario et al. (2000)
Behind ears 36cm2 Estimated based on expert judgement
Underarms 200cm2 Bremme et al. (2003)
Relative
Absolute
• Europe → COLIPA (Hall et al., 2007; 2011)
• USA → CTFA (Loretz et al., 2005; 2006; 2008)
• Hydro alcoholics → Tozer et al. (2004)
Amount Used
Retention
Product Dermal Retention Factor (%)
Body lotion (mass, prestige, or other) 100
Deodorant spray 23.5
Deodorant roll-on 100
Body spray 100
Toothpaste 10
Mouthwash 1
Lipstick 100
Liquid makeup foundation 100
Hair styling 10
Eau de toilette 100
Eau de parfum 100
Aftershave 100
Shower gel 1
Shampoo 1
Rinse-off conditioner 1
Face moisturiser 100
Hand cream 100
Aggregate Exposure Modelling
𝐴𝑔𝑔 𝐸𝑥𝑝 =
𝐹𝑟𝑒𝑞𝑢𝑒𝑛𝑐𝑦 × 𝐴𝑚𝑜𝑢𝑛𝑡 × 𝑅𝑒𝑡𝑒𝑛𝑡𝑖𝑜𝑛 × 𝐶𝑜𝑛𝑐𝑒𝑛𝑡𝑟𝑎𝑡𝑖𝑜𝑛 × 𝑃𝑒𝑛𝑒𝑡𝑟𝑎𝑡𝑖𝑜𝑛
𝐵𝑜𝑑𝑦 𝑊𝑒𝑖𝑔ℎ𝑡
Concentrations in Products
Fragrances
Fragrance Concentration
Fragrance Concentration
Fragrance
Manufacturers
Fragrance Concentration
Consumer Product
Companies
Fragrance Concentration
SUBSTANCE
CONCENTRATIONS
Exposure =
𝐴𝑚𝑜𝑢𝑛𝑡 ×𝑅𝑒𝑡𝑒𝑛𝑡𝑖𝑜𝑛 ×𝐶𝑜𝑛𝑐𝑒𝑛𝑡𝑟𝑎𝑡𝑖𝑜𝑛×𝑃𝑒𝑛𝑒𝑡𝑟𝑎𝑡𝑖𝑜𝑛
𝐵𝑜𝑑𝑦 𝑊𝑒𝑖𝑔ℎ𝑡
Aggregate Exposure Modelling
The Model
Creme RIFM
Daily
Average
Acute
Mean
Routes of Exposure
Inhalation Ingestion Dermal
Fragrance
Cramer Class
Reference
Dose
Concentration
Data
Aggregate
Exposure
Linking with TTC
Software
New Assessment
Benzaldehyde
New Assessment
Benzaldehyde
• Risk Assessment
– Determine high-risk products or application sites
– Assess safety of contaminants or by-products
• Assigning safe concentrations
• Product Development
– Bringing new fragrances/substances/products to market
– Integrate with existing market data
Predictive Uses
Optimisation Model
Max Allowed Exposure
Max Allowed Exposure
Optimisation Model
• Updated survey data: 2013 – 2014
• New countries: Italy and Poland
• New product categories:
– Eye cream
– Facial washes/cleansers/toners
– Makeup remover
– Shaving preps
• New age groups: 10 – 17 year olds
• Household cleaning products
• Browser-based version
Future Directions and Expansions
• Regulatory Toxicology and Pharmacology:
– Novel database for exposure to fragrance ingredients in cosmetics and
personal care products
• Comiskey et al 2015
– Use of an aggregate exposure model to estimate consumer exposure to
fragrance ingredients in personal care and cosmetic products
• Safford et al 2015
– Application of the expanded Creme RIFM consumer exposure model to
fragrance ingredients in cosmetic, personal care and air care products
• Safford et al 2017
References
Expert Models for Decision Makers
Thank You
Cian O’ Mahony, Chief Science Officer
cian.omahony@cremeglobal.com
@CianOnData
Expert Models for Decision Makers
Thank You
Cian O’ Mahony, Chief Science Officer
cian.omahony@cremeglobal.com
@CianOnData
Expert Models for Decision Makers
Thank You
Cian O’ Mahony, Chief Science Officer
cian.omahony@cremeglobal.com
@CianOnData

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Creme RIFM Exposure Model - Creme Global

Editor's Notes

  1. (So far, we have gather detailed fragrance concentration data on 41 fragrances materials culminating in more than 150 thousand level 1 data points) We also have data on the concentration of fragrances in mixtures and the concentrations of mixtures that go into the products So far, we have gathered detailed fragrance concentration data on 61 fragrances materials and the concentration of mixtures in all products culminating is 0.5 a million datum points to probabilistically calculate the likely concentration of fragrances ingredients in all the products
  2. (So far, we have gather detailed fragrance concentration data on 41 fragrances materials culminating in more than 150 thousand level 1 data points) We also have data on the concentration of fragrances in mixtures and the concentrations of mixtures that go into the products So far, we have gathered detailed fragrance concentration data on 61 fragrances materials and the concentration of mixtures in all products culminating is 0.5 a million datum points to probabilistically calculate the likely concentration of fragrances ingredients in all the products
  3. (So far, we have gather detailed fragrance concentration data on 41 fragrances materials culminating in more than 150 thousand level 1 data points) We also have data on the concentration of fragrances in mixtures and the concentrations of mixtures that go into the products So far, we have gathered detailed fragrance concentration data on 61 fragrances materials and the concentration of mixtures in all products culminating is 0.5 a million datum points to probabilistically calculate the likely concentration of fragrances ingredients in all the products
  4. Random sampling and probabilistic analysis can be used for all parameters