The diffusional water permeability of Elodea leaf cells as measured by nuclear magnetic resonance

1977 ◽  
Vol 55 (12) ◽  
pp. 1623-1631 ◽  
Author(s):  
Darryl G. Stout ◽  
Robert M. Cotts ◽  
Peter L. Steponkus

A new nuclear magnetic resonance (NMR) technique developed by Conlon and Outhred (1972. Biochim. Biophys. Acta, 288: 354–361) to measure diffusional water permeability was applied to the multicellular plant system Elodea Nuttallii (Planch) St. John leaves. This technique involves measuring a transverse relaxation time (T2) in the absence (T2 = Ta) and in the presence (T2 = Ta′) of extracellular paramagnetic cations. A valid estimate of Ta was measured for Elodea leaves. The value of Ta′ was found to decrease continuously with time. Evidence is presented that the decrease of Ta′ with time is initially related primarily to the time required for the paramagnetic ion to diffuse throughout the extracellular space and then later related to influx of the paramagnetic ion into the cells. By extrapolating to zero time to correct for paramagnetic-cation influx into the cells it was possible to estimate the value of Ta′ required to calculate the water exchange time out of the cells. It was estimated from the NMR data that Mn2+ (the paramagnetic ion used) flux into the cells occurred at a rate of 3.0 × 10−14 mol cm2 s−1. A procedure to determine whether the water-exchange time is controlled by intracellular unstirred layers or by membrane water permeability or by both is given. The water-exchange time of Elodea leaves is predominantly controlled by the intracellular unstirred layers. Thus it was only possible to set a lower limit on the diffusional water permeability coefficient (Pd) of Elodea leaf membranes of 3 × 10−2 cm s−1 at 20 °C.

Geophysics ◽  
2019 ◽  
Vol 84 (2) ◽  
pp. MR73-MR84 ◽  
Author(s):  
Fatemeh Razavirad ◽  
Myriam Schmutz ◽  
Andrew Binley

We have evaluated several published models using induced polarization (IP) and nuclear magnetic resonance (NMR) measurements for the estimation of permeability of hydrocarbon reservoir samples. IP and NMR measurements were made on 30 samples (clean sands and sandstones) from a Persian Gulf hydrocarbon reservoir. We assessed the applicability of a mechanistic IP-permeability model and an empirical IP-permeability model recently proposed. The mechanistic model results in a broader range of permeability estimates than those measured for sand samples, whereas the empirical model tends to overestimate the permeability of the samples that we tested. We also evaluated an NMR permeability prediction model that is based on porosity [Formula: see text] and the mean of the log transverse relaxation time ([Formula: see text]). This model provides reasonable permeability estimations for the clean sandstones that we tested but relies on calibrated parameters. We also examined an IP-NMR permeability model, which is based on the peak of the transverse relaxation time distribution, [Formula: see text] and the formation factor. This model consistently underestimates the permeability of the samples tested. We also evaluated a new model. This model estimates the permeability using the arithmetic mean of log transverse NMR relaxation time ([Formula: see text]) and diffusion coefficient of the pore fluid. Using this model, we improved estimates of permeability for sandstones and sand samples. This permeability model may offer a practical solution for geophysically derived estimates of permeability in the field, although testing on a larger database of clean granular materials is needed.


2019 ◽  
Vol 53 (8) ◽  
pp. 085401
Author(s):  
Leonardo Brizi ◽  
Enrico Giampieri ◽  
Paola Fantazzini ◽  
Gastone Castellani ◽  
Daniel Remondini ◽  
...  

1978 ◽  
Vol 62 (1) ◽  
pp. 146-151 ◽  
Author(s):  
Darryl G. Stout ◽  
Peter L. Steponkus ◽  
Larry D. Bustard ◽  
Robert M. Cotts

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