Literature DB >> 20852678

Characterization of an Anisotropic Hydrogel Tissue Substrate for Infusion Testing.

Sung Jin Lee1, Gregory L Pishko, Garret W Astary, Thomas H Mareci, Malisa Sarntinoranont.   

Abstract

Artificial tissue models that capture specific transport properties are useful for investigating physical phenomena important to drug delivery. In this study, an in vitro tissue model was developed and characterized with the goal of mimicking aligned tissue. An anisotropic porous medium was developed by the construction of a 1% agarose hydrogel implanted with different volume fractions (~ 5, 10, and 20%) of 10-μm-diameter glass fibers. The developed substrate was able to capture anisotropic transport after the direct infusion of a macromolecular tracer, Evans blue albumin (EBA). To further characterize the test substrate, the diffusion tensor of water was measured by diffusion tensor imaging, and the ratios of the diffusivities in the directions parallel and perpendicular to the glass fibers were 1.16, 1.20, and 1.26 for 5, 10, and 20% fiber volume fractions, respectively. The hydraulic conductivity was estimated by the measurement of pressure gradients across samples under controlled microflow conditions in the direction parallel to implanted fibers. The hydraulic conductivities at various hydrogel concentrations without fibers and in a 1% hydrogel with various fiber volume fractions were measured; for example, K(||) = 1.20 × 10(-12) m(4) N(-1) s(-1) (where K(||) is the conductivity component in the direction parallel to the glass fibers) for 20% fiber volume fractions. Also, EBA distributions were fit to porous medium transport models to estimate hydraulic conductivity in the direction perpendicular to glass fibers. The estimated ratio of directional hydraulic conductivity, K(||)/K(⊥) (where K(⊥) is the conductivity component in the direction perpendicular to the glass fibers), ranged from approximately 3 to 5, from 6 to 10, and from 40 to 90 for 5, 10, and 20% fiber volume fractions, respectively. These agarose hydrogel models provided convenient media for quantifying infusion protocols at low flow rates.

Entities:  

Year:  2009        PMID: 20852678      PMCID: PMC2939467          DOI: 10.1002/app.30639

Source DB:  PubMed          Journal:  J Appl Polym Sci Symp        ISSN: 0271-9460


  17 in total

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Journal:  Biomaterials       Date:  2003-11       Impact factor: 12.479

2.  Quantitative assessment of macromolecular concentration during direct infusion into an agarose hydrogel phantom using contrast-enhanced MRI.

Authors:  Xiaoming Chen; Garrett W Astary; Hector Sepulveda; Thomas H Mareci; Malisa Sarntinoranont
Journal:  Magn Reson Imaging       Date:  2008-06-25       Impact factor: 2.546

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Authors:  Xiaoming Chen; Malisa Sarntinoranont
Journal:  Ann Biomed Eng       Date:  2007-09-11       Impact factor: 3.934

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Journal:  J Neurosurg       Date:  1998-10       Impact factor: 5.115

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Journal:  Med Phys       Date:  1996-06       Impact factor: 4.071

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Journal:  Proc Natl Acad Sci U S A       Date:  1994-03-15       Impact factor: 11.205

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Authors:  Jayaroop Gullapalli; Jaroslaw Krejza; Eric D Schwartz
Journal:  J Magn Reson Imaging       Date:  2006-07       Impact factor: 4.813

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Authors:  W Y Gu; H Yao; C Y Huang; H S Cheung
Journal:  J Biomech       Date:  2003-04       Impact factor: 2.712

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  1 in total

1.  Influence of needle insertion speed on backflow for convection-enhanced delivery.

Authors:  Fernando Casanova; Paul R Carney; Malisa Sarntinoranont
Journal:  J Biomech Eng       Date:  2012-04       Impact factor: 2.097

  1 in total

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