Assessing the Safety of Novel Personal Care and Cosmetic Products
Written by Robert Coyle
This new Custom Products feature allows scientists and innovators to assess the exposure contribution of new products that may not even be on the market and for which no habits and practices data is available.
The product consumption data in our models is based on habits and practices data from the world’s largest survey ever to be used for exposure analysis (over 36,000 consumers) and contains real world usage data on a range of 25 products including personal care, soaps, cosmetic and air care products.
Our new Custom Products feature allows analysts to include their own products to be analysed alongside existing product data. It is now possible to analyse aggregate exposure from both existing products on the market and new product(s) which are either not covered in our database or new products that are not even on the market yet. This means that decision makers can conduct safety assessments on new products in silico prior to product development.
The software services achieve this by allowing analysts to enter consumption data in one of two ways:
- by product co-use and probability of co-use, where for example, an oral cleansing product is expected to be used on the same occasion when a toothpaste is used, according to some probability (see Figure 1), or
- probability of use and frequency of use, where for example, there is a probability that a certain demographic uses the new product with a specified frequency of use per day (see Figure 2).
Both of these methods allows the user to exploit the existing database of consumer data, yet, add their own specific modifications of expected consumer behaviour.
In both cases the software user must include the expected amount of the new product consumption during each consumption occasion and on which body part(s) the new product is applied to (Figures 1-2).
When the custom product data is run through the software, the user will have the choice of viewing exposure results for the custom product only, or aggregate exposure from existing products and from the custom product. This will allow the user to understand the impact a new product can have on total aggregated exposure.
Figure 1. Custom product table of habits and practices defined by what the product is ''Co-Used With'' and ''Probability of Co-Use''
Figure 2. Custom product table of habits and practices defined by ''Probability of Use'' and ''Frequency of Use''
The Creme RIFM Aggregate Exposure Modelling software conducts all exposure analyses on a high performance cloud-based system which ensures that our clients receive the results in a very short time (despite the large data sets being processed) and without tying up computing resources on their personal computers. The data is transmitted over a secure network which allows the user to access exposure results anywhere in the world.
If you’re interested in finding out more about Creme RIFM or Creme Care & Cosmetics (v1.0), including a full list of products included in the model, please contact us on email@example.com or call +353 1 677 0071.