Two AI-based technologies have been introduced to assess cosmetic ingredients. One focuses on biodegradability and the other identifies safety information. Cosmetic ingredient evaluation requires collecting and analyzing large datasets, and these tools were created with that in mind. The technologies are intended to support research related to environmental issues and human safety in cosmetics.
Key points
Two AI-based tools were introduced to evaluate cosmetic ingredients. One tool assesses biodegradability and helps streamline research into material degradation. The second tool identifies safety information and focuses on accuracy and regulatory compliance.
Biodegradability assessment
Two AI technologies were developed to evaluate ingredient biodegradability and identify safety information linked to cosmetic ingredients. These assessments normally require collecting and analyzing large amounts of data. The biodegradability assessment method supports the development of materials that can return to a natural state and contribute to circular approaches.
Biodegradable and bio-based cosmetic ingredients are receiving increasing attention across the personal care sector. Interest in these materials is growing alongside demand for sustainable and non-synthetic products.
The biodegradability AI assessment tool is designed to streamline research on biodegradable cosmetic ingredients. Conventional evaluation methods are time-consuming and costly. Results from those methods can also be influenced by individual experience.
Working with the National Institute of Technology and Evaluation in Tokyo, Japan, an AI tool was developed that predicts the
biodegradability of cosmetic ingredients. The prediction uses chemical structures and degradation rate to estimate results.
Regulatory compliance
The biodegradability approach uses an AI-based quantitative structure-activity relationship model called AI-QSAR. This model was developed to assess biodegradability under Japan’s Act on the Regulation of Manufacture and Evaluation of Chemical Substances. This regulation is part of a broader government initiative focused on monitoring chemical safety.
The AI-QSAR model reached a high level of predictive accuracy by comparing measured values with predicted values and improving the model step by step. The tool allows biodegradability assessments to be carried out quickly without requiring advanced expertise or extensive testing.
Cosmetic safety assessment
A second AI system focuses on identifying safety information about cosmetic ingredients. It gathers available data related to the substances being assessed. The information includes repeated-dose toxicity data and skin sensitization data.
The process reduces the risk of individual bias and oversight. Specialists can spend more time making final safety decisions instead of collecting information.
The research improves the precision and reliability of safety assessments. It allows professional resources to focus on new research and talent development. The system also makes it possible to reconsider ingredients that were previously set aside because there was insufficient information available about them.
