Some chemical substances, for example some fragrances and preservatives, are used in many consumer products. Examples are personal care products (e.g. shampoo, body lotion, soap), household cleaning products and do-it-yourself products. So, in one single day a person can be exposed to these substances via multiple products. To estimate the total daily exposure of a person, the exposures from all products used on that day need to be summed. For this purpose the Probabilistic Aggregate Consumer Exposure Model (PACEM) has been developed by RIVM, in cooperation with ETH Zürich and Radboud University of Nijmegen. This work has been funded by the Ministry of Public Health, Welfare and Sports and by the CEFIC Long Range Initiative program.
The model is based on realistic product usage information obtained from surveys. Currently, information on the usage (frequency and amount) of personal care products and household cleaning products in various European countries is included.
PACEM has been applied and tested for a number of substances. These were: diethyl phthalate (Delmaar et al. 2014), parabens (Gosens et al. 2014), decamethylcyclopentasiloxane (D5, Dudzina et al. 2015), geraniol (Nijkamp et al. 2015; Jongeneel et al. 2018), isothiazolinones (Ezendam et al (2018); Garcia-Hidalgo et al. 2018) and bisphenols (Karrer et al. 2019). In 2021, in a project funded by the Long Range Science Strategy (LRSS) program of Cosmetics Europe, the PACEM model as described in Ezendam et al (2018) has been made available in a web tool: PACEMweb. Please note that the current version is a Beta-version which is still under testing.
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