Deconstructing 3D growth rates from transmission microscopy images of facetted crystals as captured in situ within supersaturated aqueous solutions

© Cai Y. Ma et al. 2024.

Bibliographische Detailangaben
Veröffentlicht in:Journal of applied crystallography. - 1998. - 57(2024), Pt 5 vom: 01. Okt., Seite 1557-1565
1. Verfasser: Ma, Cai Y (VerfasserIn)
Weitere Verfasser: Jiang, Chen, Ilett, Thomas P, Hazlehurst, Thomas A, Hogg, David C, Roberts, Kevin J
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2024
Zugriff auf das übergeordnete Werk:Journal of applied crystallography
Schlagworte:Journal Article 3D crystal growth evolution crystal morphological images facet-based crystal-growth-rate measurements in situ characterization l-glutamic acid polyhedral image analysis supersaturation transmission microscopy
Beschreibung
Zusammenfassung:© Cai Y. Ma et al. 2024.
Here, a morphologically based approach is used for the in situ characterization of 3D growth rates of facetted crystals from the solution phase. Crystal images of single crystals of the β-form of l-glutamic acid are captured in situ during their growth at a relative supersaturation of 1.05 using transmission optical microscopy. The crystal growth rates estimated for both the {101} capping and {021} prismatic faces through image processing are consistent with those determined using reflection light mode [Jiang, Ma, Hazlehurst, Ilett, Jackson, Hogg & Roberts (2024 ▸). Cryst. Growth Des. 24, 3277-3288]. The growth rate in the {010} face is, for the first time, estimated from the shadow widths of the {021} prismatic faces and found to be typically about half that of the {021} prismatic faces. Analysis of the 3D shape during growth reveals that the initial needle-like crystal morphology develops during the growth process to become more tabular, associated with the Zingg factor evolving from 2.9 to 1.7 (>1). The change in relative solution supersaturation during the growth process is estimated from calculations of the crystal volume, offering an alternative approach to determine this dynamically from visual observations
Beschreibung:Date Revised 11.10.2024
published: Electronic-eCollection
Citation Status PubMed-not-MEDLINE
ISSN:0021-8898
DOI:10.1107/S1600576724008173