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Comb-like macromolecule conformation in smectic phase. Interpretation of neutron-scattering data

A.B. Kunchenko, D.A. Svetogorsky

To cite this version:

A.B. Kunchenko, D.A. Svetogorsky. Comb-like macromolecule conformation in smectic phase.

Interpretation of neutron-scattering data. Journal de Physique, 1986, 47 (12), pp.2015-2019.

�10.1051/jphys:0198600470120201500�. �jpa-00210396�

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2015

COMB-LIKE MACROMOLECULE CONFORMATION IN SMECTIC PHASE.

INTERPRETATION OF NEUTRON-SCATTERING DATA A.B. KUNCHENKO* and D.A. SVETOGORSKY

*Laboratory of Neutron Physics

**Laboratory of Theoretical Physics

Joint Institute for Nuclear Research Dubna, Head Post Office, P.O. Box 79, 10 10 00 Moscow, U.S.S.R.

(Regu te 20 juin 1986, r6visg Ze ler octobre, accepté Ze 7 octobre 1986)

Résumé : Des considérations théoriques sim- ples permettent de définir la conformation de la chaîne principale d’une macromolécule

en peigne sur la base des spectres de dif-

fusion de neutrons aux petits angles. La chaîne macromoléculaire en phase smectique

est représentée par des pelotes quasi-bidi- mensionnelles placées au hasard dans les différentes couches smectiques. La taille

de ces sous-chaînes ne dépend pas de la

masse moléculaire globale du polymère. Les

sous-chaînes bidimensionnelles sont reliées entre elles par des passages à travers les

couches. Elles peuvent être considérées

comme des défauts de la phase smectique. Le modèle proposé ici permet de calculer le nombre de ces défauts à partir du rayon de giration de la macromolécule smectique tel qu’il est mesuré par la technique de diffu- sion de neutrons aux petits angles.

Abstract : Simple theoretical considera- tions allow us to define the conformation of the macromolecule main chain from neu-

tron experiment data. The macromolecular chain in the smectic phase is divided into

quasi-two-dimensional coils randomly placed

in different smectic layers. The size of these coils is independent of the polymer

molecular weight. The two-dimensional sub- coils are connected with each other by a

number of crossings of the layers. They can

be considered as defects of the smectic

phase. The model proposed here allows us to calculate the number of defects from the radius of gyration of the smectic

macromolecule which was measured by small angle neutron scattering.

LE JOURNAL DE PHYSIQUE

J. Physique 47 (1986) 2015-2019 DÉCEMBRE 1986,

Classification

Physics Abstracts

61.30 - 61.40K

There has been growing interest in the study of the liquid-crystalline (LC) state of polymers in different mesophases [1-3].

The method of selected deuteration provides direct information on the conformation of the macromolecule in the bulk from neutron

scattering data.

First measurements of the main chain ra-

dius of gyration in the nematic and smectic

mesophases performed by small angle neutron scattering (SANS) are presented in [4,5].

In [6] the interpretation of the neutron

scattering data for the LC polymer in the nematic phase is given.

This paper deals with the interpretation

of presently available data of neutron

scattering on smectic polymers from [5].

Article published online by EDP Sciences and available at http://dx.doi.org/10.1051/jphys:0198600470120201500

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2016

1. Experimental data 5 .

In the paper [5] the chain of the type :

has been investigated by SANS and neutron diffractions (ND). The molecular weight is

3 x 10‘5 Dalton. The macromolecule of such

a polymer contains 680 monomers and has a contour length 1700 A.

The measured values of the projections

of the radius of gyration for the macromo-

lecule in the smectic phase are :

where R. and Ry are the projections of the

radius of gyration on the directions per- pendicular (x) and parallel (y) to the

smectic layer plane.

The total radius of gyration of the ma-

cromolecule in the smectic phase can be expressed by projections :

The measured value of the radius of gyra- tion in the isotropic phase is

The comparison between (2) and (3) shows that the rigidity of the macromolecule is

greater in the smectic than in the isotro- pic phase.

The thickness of the smectic layer D is measured by the ND method

2. The Model of an anisotropic freely jointed chain.

The large anisotropy of the projections

of the radius of gyration of the LC polymer macromolecular chain in the smectic phase

is the result of the difficulties in cross-

ing through the mesogenic layer. It is

natural since the smectic phase can be con-

sidered as a microphase separation of mesogenic and aliphatic parts [7].

Let us refer to the part of the chain intersecting the smectic layer as the crossing segment. It is reasonable to

assume that the crossing segment will straighten and so will be practically per-

pendicular to the smectic layer. The crossing segment forms a defect in the

smectic layer on the-molecular level. The detailed structure of this defect is unknown, though the SANS method, as shown below, allows us to evaluate the number of

such defects.

Let us construct the model of a freely jointed chain with the following proper- ties :

(1) The chain accomplishes random walks in the smectic layer plane so that the backbone of the macromolecule is located in the aliphatic layer. Let us describe the

flexibility of such a two-dimensional chain

by the Kuhn segment b,.

(2) The chain accomplishes random walks between the intermediate layers with the step equal to the inter/layer thickness D.

(3) Since crossing through the smectic layer is quite difficult, it must be taken into account by introducing different pro- babilities for the steps of the freely jointed chain in the plane and between the layers.

The simplest way to do it is to use the lattice model.

In this case the space distribution func- tion for one segment of the freely jointed

chain is :

where 6 is the Dirac delta function and p

is the normalized probability of the inter- layer crossing.

If p = 1/3, then the step probability is equal for all three directions.

As is well-known, the mean square distan-

ce between the ends of a freely jointed

chain is

where N is the number of chain segments, r

is the radius vector of one Kuhn segment

and (r)2 is given by :

(4)

Taking (5) and (7) into-account we obtain for the anisotropic chain :

For the mean square projections of the

distance between the ends of the chain we

obtain :

It is well-known that any real chain (without effects of excluded volume) can be approximated by an equivalent freely join-

ted chain which has the same contour length

and average distance between the ends as

those of the real chain.

The magnitude of the Kuhn segment A and

the number of such segments in the chain

are defined as :

where L is the contour length of the chain.

In the case when the chain is character- ized by two segment bl and D, we find N

from :

And using (5) and (7) we obtain :

rhe radius of gyration depends on the dis-

tance between the ends of the chain as :

Therefore, for the projections of the

radius of gyration we have :

In equations (12) , (14) and (15) the quantities Rx, Ry and D are determined ex-

perimentally, the contour length L is a

known quantity, and the chain parameters N,

b, and p are unknown quantities.

It must be taken into account that the real chain performs random walks not stric-

tly in the plane, but within the whole intermediate layer of a finite thickness.

These random walks will not affect the R,

value owing to the small thickness of the intermediate layer, but they must be

accounted for in the expression for the

contour length (12).

Let us denote the contour length of the

chain outside the plane by A L,. It is rea-

sonable to suppose that :

where A is the mean contour length per Kuhn

segment of the freely jointed in the inter- mediate layer.

With (16) taken into account equation (12) becomes :

where A is an unknown quantity. Let us

suppose that it is of the order of the thickness of the intermediate layer (5-10 A).

For convenience we introduce in equations (14), (15) and (17) the following nota-

tion :

then these equations become :

N, and N1 are the average numbers of the chain segments oriented normally and pa- rallel to the smectic layer, respectively.

For the isotropic distribution :

The quantities R, and D are measured ex- perimentally, therefore N, can be defined

from (19) as :

Ni : this is the number of crossing seg- ments (defects) for one macromolecular chain. The quantity

is a characteristic of the smectic phase.

Now let us estimate the accuracy of the

quantity k. Expression (24) is obtained un-

der the assumption that the crossing

segment is stretched as far as possible,

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2018

i.e. it has transconformation. Another

inaccuracy in (24) reflects the indefinite thickness of intermediate and mesogenic layers. Nevertheless, all this does not in- fluence the quantity N//.

Using equations (20) and (21) we define

where :

The quantities bl and N1 are defined with

an accuracy of the second order of the pa- rameter A/bl. At last, let us express p in terms of new variables :

3. Calculation of the parameters for the model chain.

Using experimental data from [5] and (23)

we obtain :

This is the number of crossing segments

for one macromolecular chain of the polymer with a given molecular weight. From (24) we

obtain for k : t

i.e. crossing segments amount to approxima- tely 6 % of the total chain length.

N, crossing segments divide the chain into N, + 1 quasi-two-dimensional subcoils.

A typical conformation of the macromolecu- lar chain of the smectic LC polymer is shown in figure 1.

The mean square distance between the ends of such a subcoil Chy)z is independent of

its internal structure and we can write down :

where Ry is the experimentally measured projection of the radius of gyration for

the whole coil. Using (31) and from (1) we obtain :

Correspondingly for the projection of the

radius of gyration and the chain length of

one subcoil we obtain :

- .

where Li is the average length of the sub-

coil chain. (In general, h1y and Ll largely

vary since crossing segments appear occa-

sionally for the real subcoil). Note that the quantities in (32) and (33) are inde- pendent of the uncertainty in A, while bl,

N and p as is seen from (25), (26) and (28), depend on A. Here are these quanti- ties for two values of A :

As is seen from (34) and (35), values of

bi, N and p depend rather weakly on the pa-

rameter A.

Let us take bl - 60 A . The comparison

between bl and the Kuhn segment for the

coil in the isotropic phase (39 A) indica-

tes a considerable increase of the chain

rigidity in the two-dimensional subcoil. It is caused primarily by the decreasing num-

ber of gauche-somers in the quasi-two-di-

mensional chain and by effects of excluded volume appearing in this case [8].

In the three-dimensional case, according

to the Flory theorem, the chain behaves as

in ideal one and effects of excluded volume can be neglected.

It follows from all this that it is desi- rable to measure the Kuhn segment directly by the Kratky technique [9]. Measuring only

Ry is not sufficient for a precise defini- tion of b-L because of the uncertainty in A

and the influence off excluded volume effects.

Fig. 1.- Typical conformation of the macro- molecules backbone. Quasi-two-dimensional subcoil 3 placed in the intermediate layer 1, are connected with crossing segments 4.

These segments create defects in the meso-

genic layer 2. (Experimental data are taken

from [5]).

(6)

4. Temperature effects [10].

Studies of the temperature dependence of

the projections of the macromolecule main chain radius of gyration can give informa-

tion on the nature of defects of smectic comb-like LC polymers.

Supose that the smectic phase is in the equilibrium state, i.e. there is a dynami-

cal balance in,the processes of appearance and disappearance of smectic defects at a

given temperature. In this case the proba- bility of defect appearance p can be written down as follows :

where R is the molar gas constant, T is the temperature and e- 6FIRT is the statistical

weight of appearance of the crossing segment.

Estimating with (36) the energy of a smectic defect E (© F N E) at T = 330 K for p = 0.01 obtained in (34) we have :

The temperature dependence of p (with known E) is :

and using (14) we obtain the temperature dependence :

The polymer considered is in the smectic phase in the temperature range from 45°C to 110°C. For this temperature difference, we obtain, using (39) :

---- , -m in ,

Thus the equilibrium theory predicts a 10 %

increase of R. in the smectic temperature

range.

Note that the defect energy E is composed

of the segregation energy of mesogens and aliphatic parts of the macromolecule and the energy of the main-chain bending.

5. Conclusions.

According to the assumptions of the pre- sent paper random walks of a polymer chain

can be divided into two types - random walks in the smectic layer and those between layers In the latter case the step of random walks equals the thickness of the smectic layer. Therefore, measuring the

projection of the radius of gyration of the

macromolecule in the direction x (Fig. 1) and using (23) one can determine the number of crossing segments (defects) N,,.

The crossing segments divide the macromo- lecular chain into quasi-two-dimensional parts with the conformation of a statisti- cal coil. The average size of these subcoils can be defined using (31) and mea- suring the projection of the radius of

gyration in the y -direction.

Absence of data on the influence of excluded volume effects and random walks of the main chain in the x. -direction in the range of the intermediate sublayer prevent

a precise definition of the Kuhn segment bl

in the plane. Therefore, it is desirable that the Kuhn segment (or the persistence length) should be directly measured in the smectic layer plane by the Kratky technique.

We hope that the use of small-angle neu-

tron scattering and neutron diffraction along with other methods (X-ray diffrac- tion, NMR etc.) will soon give a complete

idea of the comb-like LC polymer structure.

Acknowledgments

We are grateful to V.P. Shibaev, L.B.

Stroganov, R.V. Tal’roze and S.G. Kostromin from the Moscow University for numerous

discussions.We also thank our colleagues

Ju. M. Ostanevich, V.K. Fedyanin, J.

Plestil and V.B.Prieszhev for discussions

and critical comments.

References

[1] Liquid Cristalline Order in Polymers,

edited by A. Blumstein (Academic press, New-York, London) 1978.

[2] Shibaev V.P., Plate N.A., Adv. Polym.

Sci. 60/61 (1984) 173.

[3] Polymer Liquid Crystals, edited by

Ciferri A., Krigbaum W.R., Meyer R.B. (Aca- demic press, New-York, London) 1982.

[4] Kirste R.G., Ohm H.G., Makromol. Chem.

Rapid Commun. 6 (1985) 179.

[5] Keller P., Carvalho B., Cotton J.P., Lambert M., Moussa F. and Pépy G., J. Phy- sique Lett. 46 (1985) L-1065.

[6] Kunchenko A.B., Svetogorsky D.A., Sub- mitted to Liquid Cristals.

[7] de Gennes P.G., The Physics of liquid

Crystals (Oxford Univ. Press, London and New-York) 1974.

[8] de Gennes P.G., Scaling Concepts in Polymer Physics (Cornell Univ. Press, Ithaca and London) 1979.

[9] Kratsky O., Pure Appl. Chem. 12 (1966)

483.

[10] The probability p of interlayer tran- sition with a temperature dependence simi-

lar to (38) was also used by W. Renz and M.

Warner in Phys. Rev. Lett. 56 (1986) 1268.

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