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The aim of this work was the preparation of a novel stationary monolithic phase for affinity chromatography and HPLC-applications. Therefore, we have chosen porous glass filters that are available with different pore sizes as raw materials to prepare monolithic columns. We purchased VitraPOR 4 (10-16 μm pore size) and VitraPOR 5 (1.0-1.6 μm pore size) monolithic glass filters. The physical properties of these glass filters were characterized. The surface area, pore size distribution and the porosity were determined using mercury intrusion porosimetry and BET. These glass filters only exhibit flow through pores and therefore show no bimodal pore size distribution in the mercury intrusion curves. Due to their low permeability, the applied filters that exhibit an inner diameter of 8.0 mm and a length of 15.0±0.1 mm could be operated at flow rates more than 10 ml/min. High flow rates are favorable for fast separation experiments.
The mixture of ammonium nitrate (AN) prills and fuel oil (FO), usually referred to as ANFO, is extensively used in the mining industry as a bulk explosive. One of the major performance predictors of ANFO mixtures is the fuel oil retention, which is itself governed by the complex pore structure of the AN prills. In this study, we present how X-ray computed tomography (XCT), and the associated advanced data processing workflow, can be used to fully characterise the structure and morphology of AN prills. We show that structural parameters such as volume fraction of the different phases and morphological parameters such as specific surface area and shape factor can be reliably extracted from the XCT data, and that there is a good agreement with the measured oil retention values. Importantly, oil retention measurements (qualifying the efficiency of ANFO as explosives) correlate well with the specific surface area determined by XCT. XCT can therefore be employed non-destructively; it can accurately evaluate and characterise porosity in ammonium nitrate prills, and even predict their efficiency.