Structural properties of Speximo encapsulations and enclosed actives by X-ray scattering techniques (SAXS/WAXS)

Reference number 2018-04415
Coordinator SPEXIMO AB
Funding from Vinnova SEK 497 000
Project duration November 2018 - June 2019
Status Ongoing
Venture Research infrastructure - utilisation and collaboration
Call Research infrastructure - utilisation and collaboration: Industrial pilot projects for neutron and photon experiments at large scale research infrastructures

Purpose and goal

A novel green encapsulation technology, developed at Speximo AB, provides a new sustainable way for the protection of (bio)actives in cosmetic, food or pharma formulations. The purpose of this project is to verify synchrotron X-ray scattering techniques (SAXS/WAXS) and the possiblility use it for detailed studies of the structural properties of the encapsulation barrier and protected (bio)active, in order to improve the technology further.

Expected results and effects

The obtained structural results are expected to benefit the company to gain a better understanding of the mechanism and properties of the encapsulation technology and the protection efficiency of the enclosed (bio)actives. Current results show a high stability for the encapsulated formulations, however, the structural identification of the barrier and encapsulated (bio)active is yet to be determined in detail. Synchrotron X-ray techniques are expected to be an important tool for future development to meet customer needs.

Planned approach and implementation

The current project consortium consists of the Swedish company Speximo AB, that provides expertise in encapsulation, and the MAX IV Laboratory, that provides expertise in performing and analysis data from X-ray scattering. The experimental part includes SAXS/WAXS measurements on original wet and powder encapsulated formulations. Time and temperature resolved scans of the samples will be also implemented at the synchrotron in order to determine the efficiency and stability of the encapsulation barrier. Data analysis is crucial to interpret the applicability of the methods.

External links

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