Literature DB >> 16851608

Topology evolution and gelation mechanism of agarose gel.

Jun-Ying Xiong1, Janaky Narayanan, Xiang-Yang Liu, Tan Kok Chong, Shing Bor Chen, Tai-Shung Chung.   

Abstract

Kinetics as well as the evolution of the agarose gel topology is discussed, and the agarose gelation mechanism is identified. Aqueous high melting (HM) agarose solution (0.5% w/v) is used as the model system. It is found that the gelation process can be clearly divided into three stages: induction stage, gelation stage, and pseudoequilibrium stage. The induction stage of the gelation mechanism is identified using an advanced rheological expansion system (ARES, Rheometric Scientific). When a quench rate as large as 30 deg C/min is applied, gelation seems to occur through a nucleation and growth mechanism with a well-defined induction time (time required for the formation of the critical nuclei which enable further growth). The relationship between the induction time and the driving force which is determined by the final setting temperature follows the 3D nucleation model. A schematic representation of the three stages of the gelation mechanism is given based on turbidity and rheological measurements. Aggregation of agarose chains is promoted in the polymer-rich phase and this effect is evident from the increasing mass/length ratio of the fiber bundles upon gelation. Continuously increasing pore size during gelation may be attributed to the coagulation of the local polymer-rich phase in order to achieve the global minimum of the free energy of the gelling system. The gel pore size determined using turbidity measurements has been verified by electrophoretic mobility measurements.

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Year:  2005        PMID: 16851608     DOI: 10.1021/jp044473u

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  21 in total

1.  Sorption and desorption of PVA-pyrene chains in and out of agarose Gel.

Authors:  Selim Kara; Burcin Gacal; Deniz Tunc; Yusuf Yagci; Onder Pekcan
Journal:  J Fluoresc       Date:  2012-03-27       Impact factor: 2.217

2.  A microfluidic device for on-chip agarose microbead generation with ultralow reagent consumption.

Authors:  Linda Desbois; Adrien Padirac; Shohei Kaneda; Anthony J Genot; Yannick Rondelez; Didier Hober; Dominique Collard; Teruo Fujii
Journal:  Biomicrofluidics       Date:  2012-10-09       Impact factor: 2.800

3.  Bio-printing cell-laden Matrigel-agarose constructs.

Authors:  Rong Fan; Marine Piou; Evan Darling; Denis Cormier; Jun Sun; Jiandi Wan
Journal:  J Biomater Appl       Date:  2016-09-16       Impact factor: 2.646

4.  Thermal phase transitions of agarose in various compositions: a fluorescence study.

Authors:  Selim Kara; Ertan Arda; Fahrettin Dolastir; Önder Pekcan
Journal:  J Fluoresc       Date:  2011-03-31       Impact factor: 2.217

Review 5.  Biomaterials for Bioprinting Microvasculature.

Authors:  Ryan W Barrs; Jia Jia; Sophia E Silver; Michael Yost; Ying Mei
Journal:  Chem Rev       Date:  2020-09-01       Impact factor: 60.622

6.  Thermal stability and conformation of DNA and proteins under the confined condition in the matrix of hydrogels.

Authors:  Shu-Ichi Nakano; Daisuke Yamaguchi; Naoki Sugimoto
Journal:  Mol Biol Rep       Date:  2018-04-06       Impact factor: 2.316

7.  Time Controlled Protein Release from Layer-by-Layer Assembled Multilayer Functionalized Agarose Hydrogels.

Authors:  Sumit Mehrotra; Daniel Lynam; Ryan Maloney; Kendell M Pawelec; Mark H Tuszynski; Ilsoon Lee; Christina Chan; Jeffrey Sakamoto
Journal:  Adv Funct Mater       Date:  2010-01-22       Impact factor: 18.808

8.  Single-cell multiplex gene detection and sequencing with microfluidically generated agarose emulsions.

Authors:  Richard Novak; Yong Zeng; Joe Shuga; Gautham Venugopalan; Daniel A Fletcher; Martyn T Smith; Richard A Mathies
Journal:  Angew Chem Int Ed Engl       Date:  2011-01-10       Impact factor: 15.336

9.  Augmenting protein release from layer-by-layer functionalized agarose hydrogels.

Authors:  Daniel Lynam; Chelsea Peterson; Ryan Maloney; Dena Shahriari; Alexa Garrison; Sara Saleh; Sumit Mehrotra; Christina Chan; Jeff Sakamoto
Journal:  Carbohydr Polym       Date:  2013-12-28       Impact factor: 9.381

10.  In vivo suppression of polyglutamine neurotoxicity by C-terminus of Hsp70-interacting protein (CHIP) supports an aggregation model of pathogenesis.

Authors:  Aislinn J Williams; Tina M Knutson; Veronica F Colomer Gould; Henry L Paulson
Journal:  Neurobiol Dis       Date:  2008-11-08       Impact factor: 5.996

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