Correlation of binary polyolefin phase behavior with statistical segment length asymmetry

1992 ◽  
Vol 25 (20) ◽  
pp. 5547-5550 ◽  
Author(s):  
Frank S. Bates ◽  
Mark F. Schulz ◽  
Jeffrey H. Rosedale ◽  
Kristoffer Almdal
Keyword(s):  
Phase Behavior ◽  
Segment Length ◽  
Statistical Segment

scholarly journals The Statistical Segment Length of DNA: Opportunities for Biomechanical Modeling in Polymer Physics and Next-Generation Genomics

2018 ◽  
Vol 140 (2) ◽  
Author(s):  
Kevin D. Dorfman
Keyword(s):  
Genome Mapping ◽  
Persistence Length ◽  
Magnetic Tweezers ◽  
Polymer Physics ◽  
Polymer Dynamics ◽  
Segment Length ◽  
Next Generation ◽  
Bending Energy ◽  
Force Microscopy ◽  
Statistical Segment

The development of bright bisintercalating dyes for deoxyribonucleic acid (DNA) in the 1990s, most notably YOYO-1, revolutionized the field of polymer physics in the ensuing years. These dyes, in conjunction with modern molecular biology techniques, permit the facile observation of polymer dynamics via fluorescence microscopy and thus direct tests of different theories of polymer dynamics. At the same time, they have played a key role in advancing an emerging next-generation method known as genome mapping in nanochannels. The effect of intercalation on the bending energy of DNA as embodied by a change in its statistical segment length (or, alternatively, its persistence length) has been the subject of significant controversy. The precise value of the statistical segment length is critical for the proper interpretation of polymer physics experiments and controls the phenomena underlying the aforementioned genomics technology. In this perspective, we briefly review the model of DNA as a wormlike chain and a trio of methods (light scattering, optical or magnetic tweezers, and atomic force microscopy (AFM)) that have been used to determine the statistical segment length of DNA. We then outline the disagreement in the literature over the role of bisintercalation on the bending energy of DNA, and how a multiscale biomechanical approach could provide an important model for this scientifically and technologically relevant problem.

A new approach to the determination of the statistical segment length of wormlike polymers

1995 ◽  
Vol 273 (7) ◽  
pp. 626-632 ◽  
Author(s):  
A. Dondos ◽  
G. Staikos
Keyword(s):  
Segment Length ◽  
New Approach ◽  
Statistical Segment

Treating the polyelectrolytes as polymers with a draining effect. I. The statistical segment length

2004 ◽  
Vol 42 (23) ◽  
pp. 4225-4229 ◽  
Author(s):  
Anastasios Dondos
Keyword(s):  
Segment Length ◽  
Statistical Segment

Viscometric determination of the statistical segment length of wormlike polymers

Polymer ◽  
1998 ◽  
Vol 39 (17) ◽  
pp. 4155-4158 ◽  
Author(s):  
C. Gans ◽  
J. Schnee ◽  
U. Scherf ◽  
G. Staikos ◽  
E. Pierri ◽  
...  
Keyword(s):  
Segment Length ◽  
Statistical Segment

Viscosimetric study of poly(2',5'-dialkyl-p-terphenylene terephthalate): statistical segment length and conformational transition

1993 ◽  
Vol 26 (20) ◽  
pp. 5457-5460 ◽  
Author(s):  
J. K. Kallitsis ◽  
K. Gravalos ◽  
A. Dondos
Keyword(s):  
Conformational Transition ◽  
Segment Length ◽  
Statistical Segment

Phase behavior of cationic and anionic surfactants at low concentrations

1992 ◽  
Vol 50 (1) ◽  
pp. 694-695
Author(s):  
E. Naranjo
Keyword(s):  
Phase Behavior ◽  
Structural Characterization ◽  
Dynamic Systems ◽  
Anionic Surfactants ◽  
Intermolecular Forces ◽  
Stable Form ◽  
Surfactant Mixtures ◽  
Low Concentrations ◽  
Cationic And Anionic Surfactants ◽  
General Method

Equilibrium vesicles, those which are the stable form of aggregation and form spontaneously on mixing surfactant with water, have never been demonstrated in single component bilayers and only rarely in lipid or surfactant mixtures. Designing a simple and general method for producing spontaneous and stable vesicles depends on a better understanding of the thermodynamics of aggregation, the interplay of intermolecular forces in surfactants, and an efficient way of doing structural characterization in dynamic systems.

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