3-Dimensional X-ray microtomography methodology for characterization of monolithic stationary phases and columns for capillary liquid chromatography - A tutorial.

Autor: da Silva CGA; Department of Chemistry, Federal University of Mato Grosso, 78060-900, Cuiabá, Brazil; Institute of Chemistry, University of Campinas, 13083-970, Campinas, Brazil. Electronic address: carlag@live.com., Grespan Bottoli CB; Institute of Chemistry, University of Campinas, 13083-970, Campinas, Brazil., Collins CH; Institute of Chemistry, University of Campinas, 13083-970, Campinas, Brazil. Electronic address: chc@iqm.unicamp.br.
Jazyk: angličtina
Zdroj: Analytica chimica acta [Anal Chim Acta] 2017 Oct 23; Vol. 991, pp. 30-45. Date of Electronic Publication: 2017 Sep 04.
DOI: 10.1016/j.aca.2017.08.040
Abstrakt: In this tutorial we describe a fast, nondestructive, three-dimensional (3-D) view approach to be used in morphology characterization of capillary monoliths and columns by reconstruction from X-ray microtomography (XMT) obtained by acquiring projection images of the sample from a number of different directions. The method comprises imaging acquisition, imaging reconstruction using specific algorithms and imaging analysis by generation of a 3-D image of the sample from radiographic images. The 3-D images show the morphological data for bulk macropore space and skeleton connectivity of the monoliths and were compared with other images from imaging techniques such as scanning electron microscopy (SEM) and field emission scanning electron microscopy (FESEM) and with chromatographic performance. The 3-D XMT methodology is applicable for organic and inorganic capillary chromatographic monolithic materials and it allows the acquisition of many hundreds (in our case 1001 projections) of longitudinal and cross-sectional images in a single session, resolving morphological details with a 3D-view of the monolithic structure, inclusive inside the column in a sectional structure with volume (three dimensions) when compared to the sectional structure area (with only two dimensions) when using SEM and FESEM techniques.
(Copyright © 2017 Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
Externí odkaz: