2012
DOI: 10.1016/j.joca.2012.04.023
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MR spectroscopy measurement of the diffusion of dimethyl sulfoxide in articular cartilage and comparison to theoretical predictions

Abstract: Dynamic NMR spectroscopic imaging can measure spatial and temporal changes in water and cryoprotectant concentrations in articular cartilage. The modified triphasic model predictions for the interstitial distribution of DMSO were confirmed and its advantage over the predictions by Fick's law model, which is commonly used in the literature of cryobiology, was demonstrated.

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Cited by 25 publications
(12 citation statements)
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“…Solute diffusivity in cartilage is smaller than in an aqueous solution [10]. Diffusivity depends on tissue strain and decreases as the tissue is compressed [120][121][122][123]. Solute diffusivity also depends on the size of the solute.…”
Section: Review Of Cartilage Structure and Mechanicsmentioning
confidence: 99%
See 1 more Smart Citation
“…Solute diffusivity in cartilage is smaller than in an aqueous solution [10]. Diffusivity depends on tissue strain and decreases as the tissue is compressed [120][121][122][123]. Solute diffusivity also depends on the size of the solute.…”
Section: Review Of Cartilage Structure and Mechanicsmentioning
confidence: 99%
“…Permeability, diffusive drag, and solute diffusivity constants or rules govern fluid flow, ion transport, and solute transport [152]. Strain-dependent permeability and strain-dependent solute diffusivity are important considerations in cartilage undergoing large deformations [101,118,[120][121][122][123][153][154][155][156]. Specific combinations of multiphasic constituents have been used to successfully describe specific sets of cartilage behavior.…”
Section: Review Of Cartilage Structure and Mechanicsmentioning
confidence: 99%
“…Such models can make calculations of pertinent properties—cryoprotectant concentration, cytotoxicity, solution freezing point, vitrifiability, and/or temperature—as a function of location in the cartilage and time of exposure. For example, cryoprotectant concentration has been calculated using biomechanical models 17 19 and Fick’s law 20 23 ; a mathematical toxicity cost function was introduced by Benson et al 24 to quantify the cumulative toxicity experienced by cells over the course of cryoprotectant loading; and vitrifiability 23 , 25 and freezing point 23 , 26 , 27 have been accurately modeled. These mathematical models usually require parameters extracted from experimental data that can depend on tissue type, cryoprotectant type, and temperature.…”
Section: Introductionmentioning
confidence: 99%
“…However, ice formation outside of the cells is not innocuous in a tissue, as has been shown by several investigators [27,[33][34][35][36][37]. Even with well-intentioned attempts to prevent intracellular ice formation, gradients of cryoprotectant concentrations and osmotic imbalances across a tissue can result in varying levels of stress and post-thaw viability across a tissue [38,39] (see discussion in [40]), resulting in damage associated with cryoprotectant toxicity and excessive osmotic stress.…”
Section: Heat and Mass Transfer During Organ Cryopreservationmentioning
confidence: 97%