Calyxia is an industrial scale-up specializing in the design and manufacture of microcapsules that combine biodegradability and high performance. It offers its solutions in three markets: home and beauty, agriculture, and advanced materials.

During the microcapsule manufacturing process, controlling the formation of the microcapsule wall is essential to produce a high-quality final product. Indeed, this step, carried out by photopolymerization in dispersed media, largely determines the physicochemical properties and performance of the microcapsules.

To understand the main parameters governing this reaction, an experimental design was developed using JMP, and output variables such as conversion rate of monomers, microcapsule size, and wall glass transition temperature (Tg) were measured. Finally, data visualization and modeling tools in JMP allowed us to determine optimal working conditions to improve the performance of our capsules.

During this study, JMP was critical for exposing unexpected and hidden patterns in our data, improving our comprehension of the physicochemical reaction. The Prediction profiler, used with combined multi-response models, was also a great tool for making fast and reliable compromises.

Presenter

Schedule

Wednesday, 11 Mar
17:00-17:45

Location: Auditorium Serine Foyer Ped 8

Skill level

Beginner
  • Beginner
  • Intermediate
  • Advanced
Published on ‎12-03-2025 04:03 PM by Community Manager Community Manager | Updated on ‎12-04-2025 10:40 AM

Calyxia is an industrial scale-up specializing in the design and manufacture of microcapsules that combine biodegradability and high performance. It offers its solutions in three markets: home and beauty, agriculture, and advanced materials.

During the microcapsule manufacturing process, controlling the formation of the microcapsule wall is essential to produce a high-quality final product. Indeed, this step, carried out by photopolymerization in dispersed media, largely determines the physicochemical properties and performance of the microcapsules.

To understand the main parameters governing this reaction, an experimental design was developed using JMP, and output variables such as conversion rate of monomers, microcapsule size, and wall glass transition temperature (Tg) were measured. Finally, data visualization and modeling tools in JMP allowed us to determine optimal working conditions to improve the performance of our capsules.

During this study, JMP was critical for exposing unexpected and hidden patterns in our data, improving our comprehension of the physicochemical reaction. The Prediction profiler, used with combined multi-response models, was also a great tool for making fast and reliable compromises.



Starts:
Wed, Mar 11, 2026 12:00 PM EDT
Ends:
Wed, Mar 11, 2026 12:45 PM EDT
Auditorium Serine Foyer Ped 8
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