Abstract
The complex structures of the void space of porous media are often characterized by parameters such as pore network connectivity and lattice size. This paper presents a comparison of the ests. of these parameters obtained from 2 previous methods based on nitrogen sorption and Hg porosimetry, and also from a new, completely independent approach based on pulsed-gradient spin-echo NMR (PGSE NMR). The new PGSE NMR technique obtains ests. of connectivity and lattice size in agreement with nitrogen sorption but different to Hg porosimetry. This difference was attributed to the various phys. processes involved actually probing different aspects of the pore space geometry. Probably the representation of the pore structure derived from either nitrogen sorption or PGSE NMR is really a mapping of the real pore space onto an equiv. abstr., random pore bond network. However, this mapping does capture some of the characteristic properties of the pore space that control transport over mesoscopic (10 micro m) structural heterogeneity, the model could also be adapted to predict the macroscopic transport properties of the porous medium. [on SciFinder (R)]
| Original language | English |
|---|---|
| Pages (from-to) | 87-119 |
| Number of pages | 33 |
| Journal | Advances in Colloid and Interface Science |
| Volume | 98 |
| Issue number | 2 |
| Publication status | Published - 2002 |
Keywords
- NMR spectroscopy (pulsed-gradient spin-echo
- pore network connectivity lattice size PGSE NMR
- heterogeneous structure of porous catalyst pellets using statistical model for interpretation of pulsed-gradient spin-echo NMR data)
- PRP (Properties) (heterogeneous structure of porous catalyst pellets using statistical model for interpretation of pulsed-gradient spin-echo NMR data)
- Silica gel Role
- Catalysts (porous
- pulsed gradient spin echo NMR pore structure
- Pore structure (pore network connectivity and lattice size
- Statistical analysis (heterogeneous structure of porous catalyst pellets using statistical model for interpretation of pulsed-gradient spin-echo NMR data)
- Porous materials
- heterogeneous structure porous catalyst pellet statistical model