11 November Room C Seminars

Discover a multifunctional, naturally derived biolipid created through an advanced fermentation process that elevates modern beauty care. It provides powerful conditioning benefits, improved combability, softness and flexibility to hair while delivering a silky, smooth, non-greasy sensory feel on the skin. Its distinctive fatty acid profile ensures excellent spreadability, a luxurious touch and a refined finish across various applications. Supported by strong environmental advantages and broad formulation versatility, this next-generation ingredient enables the creation of high-performing, sensorially rich products aligned with the future of responsible and clean beauty.

Maximise formulation performance with fewer, smarter ingredient choices. This technical session introduces Ajinomoto's multifunctional ingredient portfolio, demonstrating how versatile materials such as Amihope LL and Amisoft HS-11 can be used across multiple applications. Through practical formulation examples and technical demonstrations, discover how to streamline development, improve efficiency, and create high-performing products without compromising innovation or consumer experience.

OBJECTIVE:
Recently, due to environmental impact and regulation, the challenge given to R&D to replace petro-based polymers has never been more important. But the description of a polymer is complex. Each polymer can be considered from its chemical structure, its organization, its rheology properties, its functionality, its sensorial behavior. A new data tool with multi criteria approached is evaluated on this study.

METHOD:
Cargill’s innovation team had the idea that Artificial Intelligence (traditional AI – not Gen AI) could be the right medium for a new comprehensive approach on cosmetic polymers. The aim was to create a tool capable of performing an analysis on big data and then generating predictive results according paterns. 44 criteria based on rheology, tribology, texture analyzer and sensory data were identified. The evaluation of 30 polymers including petro-based and derived natural polymers generated over 8,000 data points.

RESULTS:
Data Science team a t Cargill design a dedicated tool for cosmetic in order to have a more comprehensive knowledge on polymers. Cargill’s polymer mapping tool gives a support to visualize the position of derived natural polymers and the petro-based polymers. It confirms the generic knowledge that petro-based polymers behave differently from derived natural materials. Only combinations of derived natural polymers can offer an alternative to petro-based materials. The mapping is showing that lot of natural polymers network are associative. This pattern gives us opportunity to design a new intelligent able to predict behavior of association of polymers. From this unique tool we can foresee best associations to replace dedicated synthetic polymers.

The results provided by artificial intelligence is confirmed by new material developed and launched by Cargill Beauty to replace a carbomer. The example of our new Actigum Care shows the relevancy of the options of association proposed by the tool as replacement of Carbomer.

CONCLUSIONS:
Crafted with precision we are able to adjust combinations of natural material for the replacement of petro-based polymer.