
doi: 10.1039/ft9959103201
Nitrogen adsorption data are interpreted in terms of surface area and porosity, for a range of carbon blacks and porous carbons, using the BET, αs and Dubinin–Radushkevich methods. The relative merits of these approaches for identifying and isolating adsorption in micropores, from adsorption on external surface, are considered. Heat of immersion (ΔimmH) data, for non-polar (n-heptane) and polar (water) liquids are related to surface structure and chemistry, respectively.An average value of ΔimmH≈ 107 mJ m–2 is obtained for the dispersion interaction of non-porous carbon blacks by immersion into n-heptane. Where nitrogen adsorption data indicate the presence of microporosity, higher values of ΔimmH are observed which are thought to contain a contribution due to enhanced adsorption forces within these pores. This indicates that the adsorption mechanism within the porosity is one of either primary or secondary micropore filling. Calculation of surface energy (γds) data from nitrogen spreading pressures also supports this conclusion.An approximately linear relationship is observed between the surface oxygen levels of several commercially available carbon blacks and their polar interaction with water. This linear relationship is confirmed by ΔimmH data for samples of one specific black which had been oxidised to varying levels, measured by X-ray photoelectron spectroscopy, (XPS), using an oxygen–ozone fluidised bed apparatus. This oxidation process is shown to lead to the development of carboxylic acid groups on the carbon surface; these have been identified using XPS chemical shift data, IR spectroscopy and pH measurement.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 48 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
