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Versatile gas sorption and degassing system set with 4 independent sample analysis stations for characterizing porous materials and powders

Determination of specific surface area for natural and manufactured sorption materials, nanostructurized, functionalized materials by BET and Longmure methods. Determination of  distribution of micropores and mesopores using various methods 


Gas sorption system:

  • Pressure resolution: 0.015 torr   
  • Transducer accuracy: 0.11% full scale (1000 torr transducer)   
  • Adsorbates: nitrogen and any other non-corrosive gas with appropriate coolant   
  • Surface area range: from 0.01 m2/g (nitrogen)   
  • Pore size range: from 0,35 to > 400 nm   
  • Pore volume detectable limit: less than 0.0001 cm3/g   
  • Coolant level: automatic control using level sensor (RTD)

Degassing system:    

  • Ultimate vacuum: till 1 x 10-3 torr   
  • Operating temperature: from room temperature to 350 0C   
  • Degas monitor: thermocouple vacuum gauge   
  • Cold trap: liquid nitrogen dewar   
  • Backfill gas: user-selectable (typically helium or nitrogen)   
  • Sample capacity: 6 samples


1. Kristaps Rubenis, Signe Zemjane, Jana Vecstaudza, Juris Bitenieks, Janis Locs, Densification of amorphous calcium phosphate using principles of the cold sintering process, Journal of the European Ceramic Society, Volume 41, Issue 1, 2021, Pages 912-919, ISSN 0955-2219, https://doi.org/10.1016/j.jeurceramsoc.2020.08.074. (https://www.sciencedirect.com/science/article/pii/S0955221920307172)

4.Jana Vecstaudza, Michael Gasik, Janis Locs, Amorphous calcium phosphate materials: Formation, structure and thermal behaviour, Journal of the European Ceramic Society, Volume 39, Issue 4, 2019, Pages 1642-1649, ISSN 0955-2219, https://doi.org/10.1016/j.jeurceramsoc.2018.11.003. (https://www.sciencedirect.com/science/article/pii/S095522191830668X)

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BBCE project´s main objective is to establish a joint Baltic Biomaterials Centre of Excellence for advanced biomaterials development based on the long-term strategic cooperation between AO Research Institute Davos, Switzerland (ARI) and Friedrich-Alexander University of Erlangen-Nuremberg, Germany (FAU) on the one hand and RTU RBIDC, LIOS, RSU and RSU IS on the other hand.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 857287