Literature DB >> 11360171

Potentials of radio-frequency field gradient NMR microscopy in environmental science.

F Humbert1.   

Abstract

An understanding of transport, flow, diffusivity and mass transfer processes is of central importance in many fields of environmental biotechnology such as biofilm, bioreactor and membrane engineering, soil and groundwater bioremediation, and wastewater treatment. Owing to its remarkable sensitivity to molecular displacements and to its noninvasive and nondestructive character, pulsed field gradient (PFG) nuclear magnetic resonance (NMR) can be a valuable tool for investigating such processes. In conventional NMR microscopy, spatial encoding is achieved by using static magnetic field gradients (B(0) gradients). However, an interesting alternative is to use radio-frequency magnetic field gradients (RF or B(1) gradients). Although the latter are less versatile than the former, RF field gradient microscopy is particularly suitable for dealing with heterogeneous systems such as porous media because of its quasi-immunity to background static magnetic field gradients arising from magnetic susceptibility inhomogeneities, unlike the B(0) gradients microscopy. Here, we present an overview of basic principles and the main features of this technique, which is still relatively unused. Different examples of diffusion imaging illustrate the potentialities of the method in both micro-imaging and the measurement of global or local diffusion coefficients within membranes and at liquid-solid interfaces. These examples suggest that a number of environmental problems could benefit from this technique. Different future prospects of application of B(1) gradient NMR microscopy in environmental biotechnology are considered.

Year:  2001        PMID: 11360171     DOI: 10.1038/sj/jim/7000062

Source DB:  PubMed          Journal:  J Ind Microbiol Biotechnol        ISSN: 1367-5435            Impact factor:   3.346


  1 in total

1.  Model for b1 imaging in MRI using the rotating RF field.

Authors:  Adnan Trakic; Jin Jin; Ewald Weber; Stuart Crozier
Journal:  Comput Math Methods Med       Date:  2014-05-19       Impact factor: 2.238

  1 in total

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