Objetivo
The CAP-IT! project aims for developing a deep mechanistic understanding of coating and encapsulation processes to stabilise actives in fluid compacted consumer goods. Seven partners from two companies, three universities, and six European countries will exchange knowledge and personnel to achieve breakthroughs in the field of sustainable detergency. The research programme will involve screening and proof of concept of active-wall materials combinations, process development for particle production, characterisation of particles, and creating an overall holistic model. Innovative aspects of the project include using microfluidic devices, new high throughput screening approaches, new materials to allow the encapsulation of actives for fluid matrices, and novel modelling techniques. The project will combine academic knowledge regarding characterisation, wall materials, theoretical understanding of encapsulation processes, and process modelling with industrial know-how on encapsulation techniques, process up-scaling, and industrial requirements. The project has a balanced mixture of secondments (112 months, 15 people) and new recruitments (108 months, 6 people), and of experience level of the personnel involved. The schedule of secondee visits and a special training and transfer of knowledge scheme were designed to match the work plan and to optimise synergies. Collectively, the consortium has the appropriate combination of analysis and process equipment to perform the work plan. If successful, this project will lead to new insights among the participants in the field of encapsulation for compacted consumer goods. The possibility of further improving prototype capsules and particles after the conclusion of this project offers practical perspectives for long-lasting collaborations, benefiting the knowledge-based economy in Europe.
Ámbito científico
Convocatoria de propuestas
FP7-PEOPLE-2009-IAPP
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Régimen de financiación
MC-IAPP - Industry-Academia Partnerships and Pathways (IAPP)Coordinador
1853 Strombeek Bever
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