Magnetic Resonance: From the Laboratory to Industrial Practice

Lead Research Organisation: University of Cambridge
Department Name: Chemical Engineering and Biotechnology

Abstract

Magnetic Resonance Imaging is widely used in hospitals to image blood flow and the internal structure of the human body. Our work focuses on extending these magnetic resonance (MR) techniques to study chemical products and processes. Over the past 5 years we have established an internationally respected skill base in developing MR techniques to study transport in porous materials (e.g. oil flow in rocks), transport and reaction in 3-D systems (e.g. chemical conversion occurring inside catalytic reactors) and processing structure-function relationships (e.g. effect of extrusion processing on the structure and texture of food products). We believe that we now have the research base in place to make a step-change in exploiting MR in industrial practice. To achieve this, we wish to extend our research activities by (i) improving signal-to-noise ratios and speeding up data acquisition times such that we will be able to image hydrodynamics and chemical conversion over much shorter timescales than we can now; our target is to reduce data acquisition times by an order of magnitude; and (ii) developing robust methods for mapping pH, oxygen content, temperature and pressure, and constructing realistic process environments (e.g. elevated pressure and temperature) within the MR magnet. As well as being able to make new measurements under realistic process conditions, these data will also enable us to understand the microscopic physical and chemical processes occurring in these complex systems such that we can work with those developing numerical codes of chemical processes to improve and validate the scientific assumptions and models incorporated in their process design tools. Finally, in collaboration with experts in low-field MR hardware (which is cheap, compact and relatively maintenance free compared with high-field technology) we will bring together our advances in reduced data acquisitions times and signal enhancement with their magnet technology to demonstrate MR measurements in the industrial R&D laboratory and eventually on plant.

Publications

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Abbott A (2011) Glycerol eutectics as sustainable solvent systems in Green Chem.

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Akpa B (2012) Solvent effects in the hydrogenation of 2-butanone in Journal of Catalysis

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Benning M (2014) Phase reconstruction from velocity-encoded MRI measurements--a survey of sparsity-promoting variational approaches. in Journal of magnetic resonance (San Diego, Calif. : 1997)

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Blythe TW (2017) PFG NMR and Bayesian analysis to characterise non-Newtonian fluids. in Journal of magnetic resonance (San Diego, Calif. : 1997)

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Blythe TW (2015) Characterising the rheology of non-Newtonian fluids using PFG-NMR and cumulant analysis. in Journal of magnetic resonance (San Diego, Calif. : 1997)

 
Description This was a Platform Grant and therefore covered a wide range of method development in magnetic resonance in application to chemical engineering and the process industries. A large number of the projects initiated within this grant are now supported by industrial funding. Research methods which have been continued in such projects include undersampling methods in NMR such as compressed sensing and Bayesian methods; in situ/operando studies of catalysis; and new measurements capabilities at low field. Industrial collaborators include: Johnson Matthey, Shell, Schlumberger, BP and AstraZeneca.
First Year Of Impact 2013
Sector Chemicals,Energy,Pharmaceuticals and Medical Biotechnology
Impact Types Economic

 
Title Research data supporting "Retaining both discrete and smooth features in 1D and 2D NMR relaxation and diffusion experiments" 
Description data used in associated publication 
Type Of Material Database/Collection of data 
Provided To Others? Yes  
 
Title Research data supporting "Study of bubble dynamics in gas-solid fluidized beds using ultrashort echo time (UTE) magnetic resonance imaging (MRI)" 
Description data associated with paper 
Type Of Material Database/Collection of data 
Year Produced 2017 
Provided To Others? Yes