2011
DOI: 10.1039/c1sm05363a
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Microfibril organization modes in plant cell walls of variable curvature: a model system for two dimensional anisotropic soft matter

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Cited by 9 publications
(12 citation statements)
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References 47 publications
(70 reference statements)
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“…This reasoning is further supported by wide variations in observed microfi bril orientation in the innermost layers of S 3 among different tree species [78]. The model when solved on a membrane of spatially varying curvature, results in membrane with spatially graded fi ber orientation and order [58]. This numerical prediction is consistent with an abrupt change in fi ber angle in S 2 and S 3 at the corners reported in plant cell walls of juniper tracheid.…”
Section: Model For Uniaxial Fiber Alignment In Biological Fibrous Comsupporting
confidence: 73%
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“…This reasoning is further supported by wide variations in observed microfi bril orientation in the innermost layers of S 3 among different tree species [78]. The model when solved on a membrane of spatially varying curvature, results in membrane with spatially graded fi ber orientation and order [58]. This numerical prediction is consistent with an abrupt change in fi ber angle in S 2 and S 3 at the corners reported in plant cell walls of juniper tracheid.…”
Section: Model For Uniaxial Fiber Alignment In Biological Fibrous Comsupporting
confidence: 73%
“…Periodic relief arising at the free surface of a helicoidal plywood in some fl owers' petals, and beetle exocuticle surfaces that play a key role in the iridescence of these structures, have been simulated using a mathematical model based on chiral self-assembly with air-surface interface driven by chiral capillarity [53]. This review article emphasizes the capability of theory and simulations based on anisotropic soft matter models [54][55][56][57][58] to yield testable and verifi able predictions of textural and rheological phenomena observed in real plant cell walls, in an attempt to verify the LC self-assembly model for plant cell wall synthesis and highlight the versatility of these models to simulate other biological/biomimetic systems. For an extensive review on mesoscopic models employed to quantitatively describe the structures and processes in biological systems, refer to [31,59].…”
Section: Classifi Cation Of Lcsmentioning
confidence: 99%
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