2009
DOI: 10.1080/07373930802682973
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Measurement of Water Diffusivities in Barley Components Using Diffusion Weighted Imaging and Validation with a Drying Model

Abstract: Diffusion-weighted magnetic resonance imaging was used to determine water diffusion coefficients (D) in hull-less barley kernel components (endosperm and embryo) at 20.5±0.5 C. The D values in barley components were time-dependent and restricted in nature as indicated by the decrease in the apparent diffusion coefficient with increasing diffusion time (from 3 to 25 ms). A four-parameter Padé approximation model was used to estimate D and pore geometry (pore surface area-to-volume ratio, pore size, porosity, el… Show more

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Cited by 7 publications
(3 citation statements)
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References 46 publications
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“…Barley is commonly used in industry for malting and as animal feed. However, its high fiber content has motivated interest in increasing human consumption of it, for example in bakery products (Ghosh, Jayas, & Gruwel, 2009;Sharma, Singh, & Rosell, 2011). Different cultivars may influence the barley's chemical composition and hydration thermodynamic properties (Montanuci, Jorge, & Jorge, 2013).…”
Section: Introductionmentioning
confidence: 99%
“…Barley is commonly used in industry for malting and as animal feed. However, its high fiber content has motivated interest in increasing human consumption of it, for example in bakery products (Ghosh, Jayas, & Gruwel, 2009;Sharma, Singh, & Rosell, 2011). Different cultivars may influence the barley's chemical composition and hydration thermodynamic properties (Montanuci, Jorge, & Jorge, 2013).…”
Section: Introductionmentioning
confidence: 99%
“…Here, we have used the porous media model (8,9), which provides a simple, physically based method for parameterizing the diffusion time dependence of ADC (D(D)), based on the Mitra equations (10)(11)(12)(13). This model was initially proposed for use in biological tissues (14) and has been applied to various biological systems in vivo (15) and ex vivo (8,16,17) and to microstructure phantoms (18,19), but, as we are aware, it has never previously been used for in vivo human tissues. For restricted diffusion in porous media, Latour et al (14) simplified the model using a Pade approximant to Equation [1]:…”
Section: Introductionmentioning
confidence: 99%
“…Here, we have used the porous media model , which provides a simple, physically based method for parameterizing the diffusion time dependence of ADC ( D (Δ)), based on the Mitra equations . This model was initially proposed for use in biological tissues and has been applied to various biological systems in vivo and ex vivo and to microstructure phantoms , but, as we are aware, it has never previously been used for in vivo human tissues. For restricted diffusion in porous media, Latour et al simplified the model using a Pade approximant to Equation : D(Δ)=Do{1(11α)(cΔ+(11α)Δθ(11α)+cΔ+(11α)Δθ)} where D o is the unrestricted self‐diffusion coefficient, Δ is the diffusion time, c=49π(SV)Do, θ is a time scaling factor, which depends on the characteristic size of restricting and hindering microstructure, α is the (dimensionless) tortuosity index of the medium, relevant in the long Δ regime in which spins diffuse greater distances than the characteristic restriction lengths and hence sample the connectivity of spaces within the tissue, and S / V (mm −1 ) is the surface‐to‐volume ratio of the medium reflected in the short Δ regime where surfaces are probed by a fraction of molecules.…”
Section: Introductionmentioning
confidence: 99%