Details

Autor(en) / Beteiligte

• Comiskey, D.
• Api, A.M.
• Barrett, C.
• Ellis, G.
• McNamara, C.
• O'Mahony, C.
• Robison, S.H.
• Rose, J.
• Safford, B.
• Smith, B.
• Tozer, S.

Titel

Integrating habits and practices data for soaps, cosmetics and air care products into an existing aggregate exposure model

Ist Teil von

• Regulatory toxicology and pharmacology, 2017-08, Vol.88, p.144-156

Ort / Verlag

Netherlands: Elsevier Inc

Erscheinungsjahr

2017

Link zum Volltext

Quelle

Elsevier ScienceDirect Journals

Beschreibungen/Notizen

• In order to accurately assess aggregate exposure to a fragrance material in consumers, data are needed on consumer habits and practices, as well as the concentration of the fragrance material in those products. The present study describes the development of Phase 2 Creme RIFM model by expanding the previously developed Phase 1 model to include an additional six product types. Using subject-matching algorithms, the subjects in the Phase 1 Creme RIFM database were paired with subjects in the SUPERB and BodyCare surveys based on age and gender. Consumption of the additional products was simulated to create a seven day diary allowing full data integration in a consistent format. The inhalation route was also included for air care and other products where a fraction of product used is inhaled, derived from the RIFM 2-box model. The expansion of the Phase 1 Creme RIFM model has resulted in a more extensive and refined model, which covers a broader range of product categories and now, includes all relevant routes of exposure. An evaluation of the performance of the model has been carried out in an accompanying publication to this one. •An expansion of the Creme RIFM aggregate exposure model is described.•The Creme RIFM now includes more cosmetics, personal care and air care products.•The subjects were paired with subjects in additional surveys, based on age and gender.•Expansion of Creme RIFM model led to a more comprehensive and refined model.•The expanded Creme RIFM model more accurately estimate aggregate exposure.