Room C Seminars

10:20 am - 10:40 am

Aston Chemicals

10:40 am - 11:00 am

Safic-Alcan UK Ltd

11:30 am - 11:50 am

Croda Europe Ltd

11:50 am - 12:10 pm

Lake Personal Care

12:10 pm - 12:30 pm

Simply Better Ingredients for Modern Hair Care

2:00 pm - 2:20 pm

Surfachem

2:20 pm - 2:40 pm

How to Give a Twist to the Hero Collagen in Your Future Skin Care Products

Speaker

  • Monia Benvegnu Market Development Manager - BASF Beauty Care Solutions
2:40 pm - 3:00 pm

Innospec Ltd

3:30 pm - 3:50 pm

Azelis

3:50 pm - 4:10 pm

Sequential

4:10 pm - 4:30 pm

Provital

10:00 am - 10:20 am

A Practical Guide to Formulating with Sustainable Marine Derived Thickeners and Stabilisers

Speaker

9:30 am - 9:50 am

TBC 55

9:50 am - 10:10 am

Arxada

10:10 am - 10:30 am

Strengthening Product Claims Through Method Development and Novel Studies

11:00 am - 11:20 am

Brenntag

11:20 am - 11:40 am

Lubrizol

11:40 am - 12:00 pm

Lake Personal Care

1:30 pm - 1:50 pm

Lake Personal Care

1:50 pm - 2:10 pm

TBC 62

2:10 pm - 2:30 pm

New Generation of Natural Polymer Associations Designed Through AI

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.

Speaker