Projects per year
Description
Pharmaceutically applicable polyols are represented with different chemical compounds, with different structures, solid-state properties, particle sizes/ particle size distribution. Particle size and particle distribution are important because they influence powder properties (such as bulk density, flowability, and cohesiveness) and thus influence manufacturability (mixability, and segregation) and mixture and tablet structure.
Thus, particle size and particle size distribution of project-related samples of commercially available polyols (such as sucrose, dextrin, inulin, xylitol, sorbitol, isomalt, mannitol, and oligofructose) were characterized by a particle size analyser (Mastersizer 3000; Malvern Instruments, Malvern, UK).
Method. The particle size distribution as well as the D10%, D50%, and D90% were determined by a laser diffraction particle size analyser using an Aero S module for dry dispersions (Mastersizer 3000; Malvern Instruments, Malvern, UK) at the specified settings: feed rate of 60%; hopper gap of 0.7-1.5 mm; and air pressure of 0.8 bar. Approximately 10–15 g of the sample was used for each repetition (n = 3).
Data. The data in the form of a CSV spreadsheet was composed of the individual PSD profiles (no manipulation; as it is) of specific polyol grades: volume density (%) vs. size (µm). To simplify the reusing of data, PSD profiles were presented in a graphical format (volume density, % vs. size, µm) by the averaged PSD-profiles of every specific polyol grade.
Thus, particle size and particle size distribution of project-related samples of commercially available polyols (such as sucrose, dextrin, inulin, xylitol, sorbitol, isomalt, mannitol, and oligofructose) were characterized by a particle size analyser (Mastersizer 3000; Malvern Instruments, Malvern, UK).
Method. The particle size distribution as well as the D10%, D50%, and D90% were determined by a laser diffraction particle size analyser using an Aero S module for dry dispersions (Mastersizer 3000; Malvern Instruments, Malvern, UK) at the specified settings: feed rate of 60%; hopper gap of 0.7-1.5 mm; and air pressure of 0.8 bar. Approximately 10–15 g of the sample was used for each repetition (n = 3).
Data. The data in the form of a CSV spreadsheet was composed of the individual PSD profiles (no manipulation; as it is) of specific polyol grades: volume density (%) vs. size (µm). To simplify the reusing of data, PSD profiles were presented in a graphical format (volume density, % vs. size, µm) by the averaged PSD-profiles of every specific polyol grade.
Date made available | 12 Feb 2025 |
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Publisher | Riga Stradins University |
Date of data production | 24 Jul 2024 - 27 Jan 2025 |
Field of Science
- 1.4 Chemical sciences
- 2.5 Materials engineering
- 3.3 Health sciences
- 2.4 Chemical engineering
- 4.4 Agricultural biotechnology
- 2.9 Industrial biotechnology
Keywords
- particle size distribution
- polyols
- microscopic analysis
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), Horvath, Z. M. (Expert), Kukuls, K. (Expert) & Frolova, A. J. (Expert)
1/04/24 → 31/03/26
Project: Consolidation grants
Activities
- 1 Oral presentation
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Effect of type and grade of polyols on their mechanical properties: compactor-simulator characterization
Kukuls, K. (Speaker), Horvath, Z. M. (Co-author), Frolova, A. J. (Co-author) & Mohylyuk, V. (Co-author)
18 Mar 2025 → 19 Mar 2025Activity: Talk or presentation types › Oral presentation
File