Lecture 8 Polymers and Gels

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1 Lecture 8 Polymers and Gels

2 Variety of polymeric materials Polymer molecule made by repeating of covalently joint units. Living polymers (not considered in this lecture) long-chain objects connected by physical forces e.g. giant worm-like micelles, actin filaments etc. Many of physical properties of polymers have universal characteristic related to generic properties of long string-like molecules

3 Variety of polymeric materials Polymers are predominantly based on carbons though often contain other elements in the chain and sometimes don t involve carbon at all.

4 Stereochemistry of polymers If polymer has more than one type of side groups different arrangement are possible Atactic arrangement involves quenched disorder and therefore prevents crystallization: polymer will form glass at low temperature

5 Architecture of polymers linear or branched quenched disorder average number of units in the chain: degree of polymerization N or molecular mass M distribution of lengths: polydispersity formed of the same units: homopolymers or several ltypes of units: copolymers quenched disorder strictly prescribed sequence leading to copolymers: random, sequenced self-assembly copolymers (DNA, proteins), block copolymers (units arranged in blocks) microphase separation with complex morphologies

6 Block copolymers in nanotechnology polymers where repeat units come in blocks: can be combination of different polymers, e.g. amorphous (rubbery) and crystalline (hard) If units are very different chemically they will pahse separate. This microphase separation leads to a zoo of possible structures

7 Phase diagram of a block copolymer The structures formed depend on the relative length of blocks and compatibility of polymers χ Flory interaction parameter, N diblock degree of polymerization te emperatu ure increa ase volume fraction of A block

8 Structure of block copolymers AFM of a triblock copolymer Kraton D-110 (van Dijk and van der Berg, 1996)

9 Nanopatterning with block copolymers provides cheap way to produce nanostructures, e.g. for magnetic storage

10 Creating nanodots

11 Pluronics copolymers for drug delivery Symmetrical hydrophobically associating triblock copolymers, Poly(propylene oxide) and poly(ethylene oxide) CH 3 HO (CH -CH -0) n (CH -CH -O) m (CH -CH -0) n H

12 Poly(propylen oxide) Pluronics copolymers Central hydrophobic core Folds in aqueous solution CH 3 groups interact by Van der Waals Binds hydrophobic proteins Poly(ethylen oxide) Hydrophilic Soluble in water Protein Hydrogen bonding interaction More PEO in Pluronic, easier to dissolve Moves freely in aqueous solution High entropy low protein adsorption Protein S < 0

13 Drug encapsulation by Pluronics Form after passing critical micelle concentration (CMC) or critical micelle temperature (CMT) Suspensions can encapsulate drugs Drug Pluronic Aqueous Solution Pluronic Encapsulated Drug Aqueous Solution

14 Physical state of polymers Liquid: often very viscous with particular a viscoelastic properties Glass: very common due to quenched disorder Crystalline: often semi-crystalline: micro crystallites in amorphous matrix Liquid crystalline: can be formed in a case of rigid id molecules, l e.g. Kevlar

15 Kevlar Kevlar aromatic polyamide chemically inert, mechanically strong, no degradation at low temperatures (down to -196 ºC)

16 Random walk and polymer chain freely yjoint chain polymer model equivalent of random work end-to-end distance r = ai N i= 1 mean square end-to-end distance N N N N r r = a a = a a N r = Na + ai aj i j i j i= 1 j= 1 i= 1 j= 1 i j 0, as different links are uncorrelated

17 Entropy of a polymer chain Entropy of a macrostate is related to the number of available microstates (statistical weight): S = k B ln Ω

18 Entropy of a polymer chain In a case of 1D walk: R = ( N N ) a ; Ω = x + x x N N!! N! + [ ] ln x! = x ln x x ; ln Ω = N f ln f + (1 f ) ln(1 f ), f = N N x function has a maximum at f=1/,, let s make Taylor expansion around the maximum: dln Ω 1 d ln x Ω ln ln (1 ) (1 ) ( 1 ) x Ω x = Ω x + f + f +... df df f = 1 f = 1 R Na x ( ) x ln Ω N ln N 1 f ; ln Ω x in 3D: 3R R ln Ω= ln ΩxΩyΩz Na x +

19 Entropy of a polymer chain Configurational entropy of a freely joint polymer chain: Sr () 3k kr B x + const Na x Gibbs energy Δ G = TΔ S = F 3kT B Na x r 3kTR B Na x x = Entropic force, quite small

20 Stretching a DNA Dario Anselmetti et al, Single Molecule DNA Biophysics with Atomic Force Microscopy, SingleMolecules, 001

21 More realistic model: short range correlations realistically, correlation will not disappear for nearest neighbors due to e.g. bond angle m a a = a cos θ; a a = a ( cosθ ) i i 1 i i m the chain will behave as its subunits are effectively longer N r = c = Nb g correlations can be characterized by characteristic ratio b C = a

22 Excluded volume: Flory s approach Consider a molecule that occupies volume r 3 : segment concentration: ti N c 3 r kvn kvn G T T V r B B This leads to reduction of entropy: Δ = = 3 Total energy including configurational energy: ktr B ktvn Δ G =Δ Grep +Δ Gel = + Na r B 3 assuming excluded volume v ~ a 3 and minimizing energy: and minimizing energy: r an 35

23 Interaction between polymer segments Number of contacts for a polymer molecule: 1 1 N znvc N znv c N N znvc znv c 0 pp = ; ps = (1 ); ss = ss (1 ) z number of neighbors for any polymer segment or solvent molecule The interaction energy: 1 Uint = znvc( ε + ε ε ) + zn( ε + ε ) + N ε 0 pp ss ps ps ss ss ss 1 Uint = kbtχ v N + const; k ( ) 3 BTχ = z ε pp + εss ε ps r The total energy: N Grep + Uint = kbtv(1 χ) + const; 3 r

24 Interaction between polymer segments The total energy: N Grep + Uint = kbtv(1 χ) + const; 3 r We expect different behavior according to value χ: 1. χ <1/ polymer chain is expanded (swollen) good solvent behavior. χ =1/ repulsive effects are cancelled by attractive effects of polymersolvent interaction. Polymer behaves as ideal random walk: theta condition 3. χ >1/ attractive effect prevail, polymer forms a globule e.g. change in temperature could induce coil-globule transition

25 Flory theorem In the polymer melt, chains follow random walk statistics (in other words, upon increasing polymer concentration the effects related to excluded volume disappear).

26 Polymers grated on a surface The case of polymer densely grafted on the surface: polymer brush with the density of σ/a chains per unit area and height h. r h Δ Gel = kbt = k BT Na Na σ N Δ Grep +Δ U = kb Tb (1 χ ) ha minimizing [ σ (1 χ ) ] total energy: int 13 h b N

27 Gels and gelation Gel material where subunits can bond to each other forming a network Gelation or sol-gel transition - formation of a material with non-zero shear modulus Gels chemical termosetting resins (e.g. epoxy) sol-gel glasses (silane polymerisation) physical via microcrystalline regions via microphase separation

28 Theory of gelation Gelation occurs when an infinitely size cluster is formed

29 Gelation theory: Flory-Stockmayer model If the probability to form a bond is f and each point can connect to z other points, each monomer in n-th generation is linked to f(z-1) monomers in (n+1)th generation. The total number of bonds in n- generation: N [ f z ] ( 1) n So, there is critical probability f c - percolation threshold: n f < f N 0 c n > c f f N f c = 1 z 1 solution of finite clusters sol infinite it cluster with nonzero shear module near f c, the mean cluster size will diverge

30 Gelation theory: Flory-Stockmayer model Now, we can calculate the number of bonds inside an infinite cluster ( gel fraction ) Let s suppose that the probability for a site to be connected to infinite cluster is P. the probability that the site is not connected via particular branch is Q The probability bilit that t a neighbour is not connected to the infinite cluster is Q (z-1) z 1 Q= (1 f) + fq 1 Q= 1 or Q= f On the other hand, the probability that a site is not connected to infinity is Q z. probability to be connected to a particular neighbour but not to infinity fq z. 3 z P 1 f P f P = fq ; = 1 for f > fc or otherwise = 0 f f f f

31 Gelation theory: Flory-Stockmayer model around the gelation point: P 3( f fc) O( f fc) f = + generally P f ( f f ) c β β =1 in Flory-Stockmayer theory β= from MC modelling

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