Evidence map›Paper›PMID 38983121›Full record

ArticleCrystal growth & design2024

Evaluation of Individual and Crystal Population Dissolution Rates by Time-Resolved X-ray Microtomography.

Filip Hládek, David Zůza, Ondřej Navrátil, Jan Tomas, Aleš Zadražil, Vladimír Novák, František Štěpánek

Abstract read
In one paragraph

Article in Crystal growth & design, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Filip HládekDepartment of Chemical Engineering, University of Chemistry and Technology, Prague, Technická 5, Praha 166 28, Czech Republic.
David ZůzaDepartment of Chemical Engineering, University of Chemistry and Technology, Prague, Technická 5, Praha 166 28, Czech Republic.
Ondřej NavrátilDepartment of Chemical Engineering, University of Chemistry and Technology, Prague, Technická 5, Praha 166 28, Czech Republic.ORCID https://orcid.org/0000-0001-5687-0505
Jan TomasDepartment of Chemical Engineering, University of Chemistry and Technology, Prague, Technická 5, Praha 166 28, Czech Republic.
Aleš ZadražilDepartment of Chemical Engineering, University of Chemistry and Technology, Prague, Technická 5, Praha 166 28, Czech Republic.
Vladimír NovákPaul Scherrer Institute, Swiss Light Source, Forschungsstrasse 111, Villigen PSI 5232, Switzerland.
František ŠtěpánekDepartment of Chemical Engineering, University of Chemistry and Technology, Prague, Technická 5, Praha 166 28, Czech Republic.ORCID https://orcid.org/0000-0001-9288-4568

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The intrinsic dissolution rate (IDR) is an important parameter in pharmaceutical science that measures the rate at which a pure crystalline active pharmaceutical ingredient dissolves in the absence of diffusion limitations. Traditional IDR measurement techniques do not capture the complex interplay between particle morphology, fluid flow, and dissolution dynamics. The dissolution rate of individual particles can differ from the population average because of factors such as particle size, surface roughness, or exposure of individual crystal facets to the dissolution medium. The aim of this work was to apply time-resolved X-ray microtomography imaging and simultaneously measure the individual dissolution characteristics of a large population of crystalline particles placed in a packed bed perfused by the dissolution medium. Using NaCl crystals in three different size fractions as a model, time-resolved microtomography made it possible to visualize the dissolution process in a custom-built flow cell. Subsequent 3D image analysis was used to evaluate changes in the shape, size, and surface area of individual particles by tracking them as they are dissolved. Information about the particle population statistics and intrabatch variability provided a deeper insight into the dissolution process that can complement established IDR measurements.

Identifiers

PMID38983121
PMCPMC11228913

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.