用模型预测自然成分组合，替代难降解化妆品原料。
Uncovering sustainable personal care ingredient combinations using scientific modelling
- 基于模拟与预测建模，推荐天然替代配方。
- 支持在2027年前完成合成硅油替代，性能不降。
- 适合急迫转型的美妆品牌与配方师使用。
个人护理产品常含合成且难降解的成分，如硅油和矿物油，虽具优良性能，但受欧盟法规限制，至2027年6月起，环四甲基硅氧烷（D4）、环五甲基硅氧烷（D5）、环六甲基硅氧烷（D6）将被禁止用于冲洗型及驻留型化妆品。随着消费者对可持续性的关注度提升，品牌亟需在短期内以天然成分替代这些合成物，同时维持性能与成本。本研究提出一种开创性方法，利用预测建模与仿真数字服务，生成针对常见合成成分的天然替代组合建议，并通过具体配方应用验证其有效性。该平台旨在赋能配方师快速探索高性能、环保的新方案，推动个人护理行业实现真正可持续转型。
原文摘要 · Abstract (English)
Personal care formulations often contain synthetic and non-biodegradable ingredients, such as silicone and mineral oils, which can offer a unique performance. However, due to regulations like the EU ban of Octamethylcyclotetrasiloxane (D4), Decamethyl-cyclopentasiloxane (D5), Dodecamethylcyclohexasiloxane (D6) already in effect for rinse off and for leave on cosmetics by June 2027 coupled with growing consumer awareness and expectations on sustainability, personal care brands face significant pressure to replace these synthetic ingredients with natural alternatives without compromising performance and cost. As a result, formulators are confronted with the challenge to find natural-based solutions within a short timeframe. In this study, we propose a pioneering approach that utilizes predicting modelling and simulation-based digital services to obtain natural-based ingredient combinations as recommendations to commonly used synthetic ingredients. We will demonstrate the effectiveness of our predictions through the application of these proposals in specific formulations. By offering a platform of digital services, it is aimed to empower formulators to explore good performing novel and environmentally friendly alternatives, ultimately driving a substantial and genuine transformation in the personal care industry.
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