Case studies using the probabilistic aggregate consumer exposure model (PACEM) for cosmetics ingredient safety...

Area of Science:

• Cosmetic Science
• Toxicology
• Risk Assessment

Background:

• Consumer safety assessment requires robust exposure data for cosmetic ingredients.
• Existing tools may not adequately capture aggregate exposure from multiple products.
• Probabilistic modeling offers a sophisticated approach to exposure estimation.

Purpose of the Study:

• To evaluate the functionality and performance of the PACEM webtool.
• To assess PACEM's utility for cosmetic ingredient exposure assessment.
• To determine the credibility of PACEM outputs for regulatory dossiers.

Main Methods:

• Utilized case studies with cosmetic ingredients: propyl paraben, salicylic acid, methyl salicylate, D5, and methylisothiazolinone.
• Employed probabilistic mathematical modeling incorporating European consumer habits and practices data.
• Focused evaluation on cosmetic product exposure assessment within the PACEM framework.

Main Results:

• PACEM successfully estimated aggregate consumer exposure to cosmetic ingredients.
• The tool generated key exposure metrics: external dose, internal systemic exposure dose (SED), and dermal load.
• Case studies demonstrated PACEM's ability to handle ingredient exposure across multiple product types.

Conclusions:

• PACEM is a valuable and free online tool for cosmetic safety assessors.
• The webtool generates credible exposure data suitable for regulatory dossier submissions.
• PACEM enhances the accuracy of consumer safety assessments for cosmetic products.