122 research outputs found
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Magnetic Resonance Imaging and Velocity Mapping in Chemical Engineering Applications.
This review aims to illustrate the diversity of measurements that can be made using magnetic resonance techniques, which have the potential to provide insights into chemical engineering systems that cannot readily be achieved using any other method. Perhaps the most notable advantage in using magnetic resonance methods is that both chemistry and transport can be followed in three dimensions, in optically opaque systems, and without the need for tracers to be introduced into the system. Here we focus on hydrodynamics and, in particular, applications to rheology, pipe flow, and fixed-bed and gas-solid fluidized bed reactors. With increasing development of industrially relevant sample environments and undersampling data acquisition strategies that can reduce acquisition times to <1 s, magnetic resonance is finding increasing application in chemical engineering research
In situ study of reaction kinetics using compressed sensing NMR.
We demonstrate the application of Compressed Sensing-NMR to decrease the data acquisition time of 2D COSY NMR from >5 h to ∼1.5 h such that the kinetics of a reaction are followed, along with identification of intermediate and product species.The authors would like to acknowledge the financial support
of the EPSRC (Grants No. EP/G011397/1, EP/F047991/1 and EP/
K039318/1) and Microsoft Research.This is the final published version. It first appeared at http://pubs.rsc.org/en/Content/ArticleLanding/2014/CC/c4cc06051b#!divAbstract
Surface diffusion in catalysts probed by APGSTE NMR
In this work we report the application of a recently developed experimental protocol using Pulsed Field Gradient (PFG) Nuclear Magnetic Resonance (NMR) techniques to simultaneously assess bulk pore and surface diffusion coefficients in liquid saturated
porous catalysts. This method has been developed to study solvent effects on the diffusion of methyl ethyl ketone (MEK) in mesoporous 1 wt% Pd/Al2O3 catalyst trilobes. The selection of solvents used in this work is known to have a complex effect on reaction rates and hence catalyst performance in heterogeneous liquid phase catalysis. Here, we report the bulk pore and surface diffusion characteristics of MEK, water and isopropyl alcohol (IPA) in 1 wt% Pd/Al2O3 catalyst trilobes. The results show that the physicochemical interactions of molecules in the porous catalyst matrix are very different for the different molecules. We also find that the mobility of water appears to be affected strongest by the catalyst surface
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In situ reaction monitoring in heterogeneous catalysts by a benchtop NMR spectrometer.
Understanding the reactivity and mass transport properties of porous heterogenous catalysts is important for the development of new materials. Whereas MRI has previously been used to correlate chemical kinetics and hydrodynamics under operando conditions, this paper demonstrates that a modern benchtop NMR spectrometer is a suitable alternative to obtain diverse reaction information in porous heterogeneous catalyst materials on a smaller scale. Besides information about the chemical conversion within the pores, it can also be used to study changes of surface interaction by T1/T2 NMR relaxometry techniques and changes in mass transport by PFG NMR from a single chemical reaction
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Spatially-resolved 1H NMR relaxation-exchange measurements in heterogeneous media.
In the last decades, the 1H NMR T2-T2 relaxation-exchange (REXSY) technique has become an essential tool for the molecular investigation of simple and complex fluids in heterogeneous porous solids and soft matter, where the mixing-time-evolution of cross-correlated T2-T2 peaks enables a quantitative study of diffusive exchange kinetics in multi-component systems. Here, we present a spatially-resolved implementation of the T2-T2 correlation technique, named z-T2-T2, based on one-dimensional spatial mapping along z using a rapid frequency-encode imaging scheme. Compared to other phase-encoding methods, the adopted MRI technique has two distinct advantages: (i) is has the same experimental duration of a standard (bulk) T2-T2 measurement, and (ii) it provides a high spatial resolution. The proposed z-T2-T2 method is first validated against bulk T2-T2 measurements on homogeneous phantom consisting of cyclohexane uniformly imbibed in finely-sized α-Al2O3 particles at a spatial resolution of 0.47 mm; thereafter, its performance is demonstrated, on a layered bed of multi-sized α-Al2O3 particles, for revealing spatially-dependent molecular exchange kinetics properties of intra- and inter-particle cyclohexane as a function of particle size. It is found that localised z-T2-T2 spectra provide well resolved cross peaks whilst such resolution is lost in standard bulk T2-T2 data. Future prospective applications of the method lie, in particular, in the local characterisation of mass transport phenomena in multi-component porous media, such as rock cores and heterogeneous catalysts
Diffusion and swelling measurements in pharmaceutical powder compacts using terahertz pulsed imaging.
Tablet dissolution is strongly affected by swelling and solvent penetration into its matrix. A terahertz-pulsed imaging (TPI) technique, in reflection mode, is introduced as a new tool to measure one-dimensional swelling and solvent ingress in flat-faced pharmaceutical compacts exposed to dissolution medium from one face of the tablet. The technique was demonstrated on three tableting excipients: hydroxypropylmethyl cellulose (HPMC), Eudragit RSPO, and lactose. Upon contact with water, HPMC initially shrinks to up to 13% of its original thickness before undergoing expansion. HPMC and lactose were shown to expand to up to 20% and 47% of their original size in 24 h and 13 min, respectively, whereas Eudragit does not undergo dimensional change. The TPI technique was used to measure the ingress of water into HPMC tablets over a period of 24 h and it was observed that water penetrates into the tablet by anomalous diffusion. X-ray microtomography was used to measure tablet porosity alongside helium pycnometry and was linked to the results obtained by TPI. Our results highlight a new application area of TPI in the pharmaceutical sciences that could be of interest in the development and quality testing of advanced drug delivery systems as well as immediate release formulations.We would like to thank Huxley Bertram Engineering Ltd.,Cambridge, UK for making time available on the compactionsimulator and Martin Bennett from Huxley Bertram for helppreparing samples. We would also like to acknowledge EvonikIndustries, Germany for providing Eudragit RSPO. S.Y. wouldlike to thank the UK Engineering and Physical Sciences Re-search Council for financial support.This is the final version of the article. It was originally published online in the Journal of Pharmaceutical Sciences, 2015, doi: 10.1002/jps.24376
Sub-sampling of NMR Correlation and Exchange Experiments
Sub-sampling is applied to simulated - NMR signals and its influence
on inversion performance is evaluated. For this different levels of
sub-sampling were employed ranging from the fully sampled signal down to only
less than two percent of the original data points. This was combined with
multiple sample schemes including fully random sampling, truncation and a
combination of both. To compare the performance of different inversion
algorithms, the so-generated sub-sampled signals were inverted using Tikhonov
regularization, modified total generalized variation (MTGV) regularization,
deep learning and a combination of deep learning and Tikhonov regularization.
Further, the influence of the chosen cost function on the relative inversion
performance was investigated. Overall, it could be shown that for a vast
majority of instances, deep learning clearly outperforms regularization based
inversion methods, if the signal is fully or close to fully sampled. However,
in the case of significantly sub-sampled signals regularization yields better
inversion performance than its deep learning counterpart with MTGV clearly
prevailing over Tikhonov. Additionally, fully random sampling could be
identified as the best overall sampling scheme independent of the inversion
method. Finally, it could also be shown that the choice of cost function does
vastly influence the relative rankings of the tested inversion algorithms
highlighting the importance of choosing the cost function accordingly to
experimental intentions
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