Projects per year
Description
For this purpose, a Quantachrome NOVA instrument was employed, operating under NOVAwin software version 11.03 for data acquisition and reduction. Commercially available polyol samples were subjected to BET analysis to determine specific surface area (SSA), total pore volume (TPV), and average pore diameter (APD). Degassing conditions for each sample were applied based on supplier datasheet specifications to ensure complete removal of moisture and volatile contaminants before measurement.
To characterise the specific surface area, total pore volume, and average pore diameter of selected polyols including sucrose, dextrin, inulin, xylitol, sorbitol, isomalt, mannitol, oligofructose, polyethylene glycol and caffeine. This data provides critical support for assessing the physicochemical and formulation-related attributes of these excipients. Each analysis was conducted under controlled conditions to ensure reproducibility and comparability.
Each sample was weighed into a glass sample tube with a 1 cc bulb volume and degassed under vacuum at elevated temperatures for a specific duration (as indicated in individual sample datasheets) using the Quantachrome degassing station. After degassing, samples were transferred to the analysis port, and Nitrogen gas adsorption measurements were conducted at 273 K using a liquid nitrogen bath to maintain isothermal conditions.
Surface area was calculated using the BET method over a relative pressure (P/P₀) range selected to fit the linear region of the BET plot. Pore volume and pore size distribution were derived using the Barrett–Joyner–Halenda (BJH) method based on the adsorption branch of the isotherm.
All measurements were processed using Quantachrome NovaWin software version 11.03. A comprehensive dataset was prepared in the form of an Excel spreadsheet containing the calculated surface area (m²/g), total pore volume (cm³/g), and average pore diameter (nm) for each polyol sample. Additionally, isotherm profiles (adsorbed volume vs. relative pressure) and pore size distribution graphs (dV/dlogD vs. pore diameter) were included on separate sheets for visual representation of the data. A summary table of BET and BJH parameters was added for simplified comparative analysis.
| Date made available | 29 Sept 2025 |
|---|---|
| Publisher | Rīga Stradiņš University Institutional Repository Dataverse |
| Date of data production | 24 Mar 2025 - 9 Sept 2025 |
Field of Science
- 1.4 Chemical sciences
- 3.3 Health sciences
Keywords
- specific surface area
- total pore volume
- average pore diameter
- polyols
Projects
- 1 Active
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Suitability of sugar alcohols (polyols) as binders in twin-screw melt granulation for preparation of high-drug-loaded immediate-release tablets with superior mechanical properties
Mohylyuk, V. (Project leader), Buczkowska, E. M. (Leading expert), Pētersone, L. (Leading expert), Žogota, M. (Expert), Horvath, Z. M. (Participant), Kukuls, K. (Participant) & Frolova, A. J. (Participant)
1/04/24 → 31/03/26
Project: Consolidation grants
Datasets
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Karl Fischer (KF) Titration of Polyols
Frolova, A. J. (Creator), Kukuls, K. (Creator), Horvath, Z. M. (Creator), Buczkowska, E. M. (Creator), Pētersone, L. (Creator) & Mohylyuk, V. (Creator), Riga Stradins University, 17 Mar 2025
DOI: 10.48510/FK2/4AREIO, https://dataverse.rsu.lv/dataset.xhtml?persistentId=doi:10.48510/FK2/4AREIO
Dataset
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Optical Microscopy of Polyols
Kukuls, K. (Creator), Frolova, A. J. (Creator), Horvath, Z. M. (Creator), Gniazdowska, E. M. (Creator) & Mohylyuk, V. (Creator), Riga Stradins University, 22 Jan 2025
DOI: 10.48510/FK2/RBPONG, https://dataverse.rsu.lv/dataset.xhtml?persistentId=doi:10.48510/FK2/RBPONG
Dataset
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Mean Yield Pressure (Py) and Strain Rate Sensitivity (SRS) of Polyols
Kukuls, K. (Creator), Frolova, A. J. (Creator), Horvath, Z. M. (Creator), Gniazdowska, E. M. (Creator) & Mohylyuk, V. (Creator), Riga Stradins University, 22 Jan 2025
DOI: 10.48510/FK2/KMWDO6, https://dataverse.rsu.lv/dataset.xhtml?persistentId=doi:10.48510/FK2/KMWDO6
Dataset