ON THE RELATIONSHIP BETWEEN THE ORDER-PARAMETER [P-2(COS THETA)] AND THE SHAPE OF ORIENTATION DISTRIBUTIONS

Citation
Cp. Lafrance et al., ON THE RELATIONSHIP BETWEEN THE ORDER-PARAMETER [P-2(COS THETA)] AND THE SHAPE OF ORIENTATION DISTRIBUTIONS, Canadian journal of chemistry, 73(9), 1995, pp. 1497-1505
Citations number
44
Categorie Soggetti
Chemistry
ISSN journal
00084042
Volume
73
Issue
9
Year of publication
1995
Pages
1497 - 1505
Database
ISI
SICI code
0008-4042(1995)73:9<1497:OTRBTO>2.0.ZU;2-B
Abstract
The molecular orientation is generally expressed by an ''order paramet er,'' [P-2], which depends on both the angular position and the shape of the orientation distribution. This parameter is an average made ove r all orientations of the structural units studied in a sample and, co nsequently, a given [P-2] value can correspond to different orientatio n distributions. In this article, model distributions are used to show the relationship between the shape, width, and angular position of th e center of the orientation distribution on the [P-2] coefficient, for the case where the distribution of the molecular chains exhibits cyli ndrical symmetry with respect to the reference direction. A significan t difference is observed between the order parameters calculated for d istributions of Gaussian and Lorentzian shapes with similar width at h alf-height. The variation of the [P-2] coefficient as a function of th e width at half-height, W-1/2, and of the position of the center of th e distribution, theta(C), is analyzed. Figures showing the range of W- 1/2-theta(C) coordinates that can correspond to a given [P-2] value ar e presented. As an example, the influence on the order parameter of th e disorder between the different domains of phospholipid samples (mosa ic spread) and of the conformational disorder in the acyl chains of th ese molecules is also studied. This example permits the evaluation of the magnitude of the errors that can be introduced in calculations of the tilt angle of the molecular chains in the case of distributions of finite widths or of bimodal character.