Milad Golkaram1, Csaba Fodor1, Evelyne van Ruymbeke2, Katja Loos1. 1. Macromolecular Chemistry and New Polymeric Materials, Zernike Institute for Advanced Materials, University of Groningen, Nijenborgh 4, 9747 AG Groningen, The Netherlands. 2. Bio-and Soft Matter, Institute of Condensed Matter and Nanosciences, Université Catholique de Louvain, Croix du Sud 1, B-1348 Louvain-la-Neuve, Belgium.
Abstract
Supramolecular polymers bearing weak hydrogen bonds (sticker) can express outstanding dynamic properties due to their labile association. Studying the linear viscoelasticity (LVE) of this type of polymer can provide us with sufficient knowledge to design polymeric materials for applications that need dynamic properties such as self-healing. Using different compositions of flexible weak stickers, LVE analysis showed scalings corresponding to a transition from a linear precursor to a cluster. By introducing one sticker per repeating unit of the precursor polymer, the effect of sticker distribution along the chain as well as phase separation is excluded. However, even a fully functionalized polymer could not show any network formation, whereas surprisingly, a stable cluster was formed. This proves that weakly associated networks do not dissociate rapidly and can relax as a cluster at extended time before the dissociation of stickers can lead to the relaxation of linear analogous (slow kinetics similar to strong physical or even chemical bonds.) On the other hand, the absence of a gel even in fully sticker-functionalized polymers shows that the weakness of these polymers can be described as their weakness in complete association (thermodynamically not favored).
Supramolecular polymers bearing weak <span class="Chemical">hydrogen bonds (sticker) can express outstanding dynamic properties due to their labile association. Studying the linear viscoelasticity (LVE) of this type of polymer can provide us with sufficient knowledge to design polymeric materials for applications that need dynamic properties such as self-healing. Using different compositions of flexible weak stickers, LVE analysis showed scalings corresponding to a transition from a linear precursor to a cluster. By introducing one sticker per repeating unit of the precursor polymer, the effect of sticker distribution along the chain as well as phase separation is excluded. However, even a fully functionalized polymer could not show any network formation, whereas surprisingly, a stable cluster was formed. This proves that weakly associated networks do not dissociate rapidly and can relax as a cluster at extended time before the dissociation of stickers can lead to the relaxation of linear analogous (slow kinetics similar to strong physical or even chemical bonds.) On the other hand, the absence of a gel even in fully sticker-functionalized polymers shows that the weakness of these polymers can be described as their weakness in complete association (thermodynamically not favored).
Introduction
of supramolecular
moieties to polymer chains that can readily stick to each other (called
stickers) results in unique material properties, such as self-healing
and shape memory.[1,2] These properties mainly originate
from the dynamic behavior of the introduced moieties and can be tuned
by using different interactions, such as strong ionic,[3] <span class="Chemical">metal complex,[4] or hydrogen
bonding,[5−8] which increase both the rheological relaxation time and the plateau
modulus of the sample. The linear viscoelasticity (LVE) analysis of
polymers based on acrylic acid (AA), carboxyethyl acrylate (CEA),
and acrylamidopyridine (AP) was carried out by Anthamatten and co-workers.[9] However, the association in the corresponding
polymers was unsuccessful, evident from their Rouse-like behavior.
Monomers bearing weak hydrogen bonding functionalities such as thymine
and adenine have been studied extensively, and it was observed that
the flexible spacers introduced to the nucleobases lead to an improved
capacity of self-assembly, which was attributed to the ability of
each sticker to gain a suitable conformation for coupling with the
nearest moiety.[10]
The modeling of
viscoelasticity near the sol–gel transition for the supramolecular
polymers with side stickers is limited to the seminal works of Rubinstein
and Semenov,[11,12] whereby the dynamics of supramolecular
<span class="Chemical">polymers were studied, and a new theory for the gelation of associating
polymers was introduced. The initial theory developed in 1998 was
a mean-field (MF) approach to examine the viscoelasticity of associating
polymers, which was later used to predict the sol–gel transition
in (unentangled) randomly sulfonated polystyrene (SP).[13] Although this model could explain the viscoelasticity
of the polymers both above and below the gel point, it failed to predict
the behavior close to the gel point. Therefore, the theory was further
modified[3,8,14] by considering
a transition from MF to critical percolation (CP) known as the Ginzburg
point, when the large sol clusters newly formed (through association
of stickers) are not overlapping in space.[3] This modified model was applied to the polymers containing strong
stickers, for which it was developed. However, scalings were only
partially been observed due to (1) phase separation, (2) distribution
of stickers along the chain, and (3) high affinity of the used stickers,
which makes it hard to access the Ginzburg point where the transitions
of the scalings are extremely sensitive to the degree of association.
The LVE of supramolecular polymers based on <span class="Chemical">poly(n-butyl acrylate) (PnBA) has been investigated previously.[15,16] Despite their hypothesis that the aggregation visible in the LVE
of PnBA is due to partial hydrolysis of butyl acrylate groups, it
has been shown by Beiner et al. that nanophase separation can occur
in intact PnBA due to incompatible main and butyl side chains.[17]
Moreover, it has been shown that the presence
of a terminal slope shallower than 1 and 2 for G″
and G′ is due to (1) a random distribution
of the stickers along the chain, (2) a disproportionate amount of
stickers in different chains, and (3) polydispersity in the chain
length, leading to a distribution of terminal relaxation times.[18,19] The authors therefore could not observe a terminal slope of 1 and
2 for G″ and G′, corresponding
to the Maxwell relaxation, and strived to exclude this effects via
including the sticker polydispersity in the modeling.In this
study using nBA and <span class="Chemical">thymine-functionalized nBA (THY) we first investigate
the viscoelasticity near the sol–gel transition with varying
the sticker composition. Followed by using a fully functionalized
polymer, the effect of butyl side chain aggregation as well as sticker
distribution is excluded to study a pure contribution from the weak
stickers in the corresponding cluster/gel.
Background
For the detailed description of the theory we encourage reading
the paper by Chen et al.[3] For a chemical
sol/gel, the gelation point can be predicted from the growth of the
sol, generation by generation to an infinite size, and can be written
as eq :where N is the functionality, N – 1 corresponds
to the available (potential) functionalities for the next generation
as one is already taken by the previous generation, and pc represents the average number fraction of stickers assuming
all the stickers are in the bonded state, so that having only slightly
more than 1 sticker per chain in average for sufficiently long chains
(N ≫ 1) leads to gelation. In the case of
stickers with weak hydrogen bonding, the full association of the stickers
might not be the case as is discussed later in the Results and Discussion. The extent of gelation is written
aswhere ε = 0 and 1
correspond to the gel point (gel content ∼0%) and full gelation
(gel content ∼100%), respectively, p being
the degree of reaction. The summary of the theory is depicted in Figure b. For the first
regime with ε = −1 the behavior of an unentangled linear
<span class="Chemical">polymer (the precursor chain) is described with the G′ ∼ ω (where n = 0.5 and 1 before and after the Rouse relaxation time).with b the segmental size, N the number of segments, M0 the segment
molecular weight, and τ0 the relaxation time of one
segment.
Figure 3
(a) Master
curves constructed for PnBA, PTHY10, PTHY30, and PTHY100
referenced to T = T + 40 °C. (b) Summary
of the modified MF percolation theory, including the Ginzburg transition
and critical percolation regime.[3]
For the second regime (−1 < ε <
−εG, with εG being the extent
of the reaction at Ginzburg point), clusters are formed via MF percolation,
and the relaxation time is governed by the Rouse relaxation of the
cluster leading to G′ ∼ ω (where n = 1) before the
terminal relaxation.The MF theory holds until the Ginzburg
point, where the characteristic clusters no longer overlap and the
MF scaling no longer holds. Therefore, the third regime, corresponds
to −εG ≤ ε < −εc where MF and critical percolation (CP) apply in shorter and
longer times than τN, wherein G′
∼ ω (where n = 1 and 0.67 for MF and CP). For longer time scales a Maxwell relaxation
(n = 2) can be seen which belongs to the relaxation
of the entire cluster.In the fourth regime −εc ≤ ε < εc, a time called
“effective breakup time” appears, which
was first introduced by Rubinstein and Semenov,[11,12] indicating the time in which the cluster breakup into two comparable
clusters via breaking of the stickers in the time scales longer than
their lifetime. Therefore, there is a competition between the time
scale for the dissociation of the cluster into two clusters (τlife = τε) and the
relaxation of the characteristic mother cluster (τchar = τ|ε|–3), with τ and τlife being the Rouse relaxation time of the precursor chains and the
effective breakup time, respectively. By approaching the gel point,
the strands reach an infinite molecular weight with longer relaxation
times, but having shorter lifetime, as there are more stickers available
to break. One can consequently calculate τc aswhere τ is the lifetime of the
stickers. For 1 < ε the gel strands are very dense, and the
breakup of one strand does not lead to a full relaxation of the precursor
chains, which leads to a plateau in the storage modulus as has been
described by the sticky Rouse model.[12]
Experimental Section
Materials
n-Butyl acrylate (<span class="Chemical">nBA) was
purchased from Aldrich and passed through neutral alumina column before
use. α,α′-Azobis(isobutyronitrile) (AIBN, Fluka,
99%) was recrystallized from methanol. Thymine, S,S-dibenzyl trithiocarbonate (DBTTC), 1,4-butanediol
diacrylate, triethylamine (TEA), acetone-d6, dimethyl sulfoxide-d6, and 2,6-di-tert-butyl-4-methylphenol (BHT) were purchased from Aldrich
and used without further purification. Hexane, chloroform, tetrahydrofuran
(THF), methanol and N,N-dimethylformamide
(DMF, anhydrous) were purchased from Fisher Scientific and used as
received. Thymine-functionalized nBA (THY) was synthesized according
to the literature.[10]
Synthesis of PTHYi
Synthesis of PTHYi was carried out via polymerization of the required amount
of THY and <span class="Chemical">nBA initiated by AIBN and DBTTC as the chain transfer agent.
To a Schlenk tube containing a magnetic stirrer, DBTTC, and AIBN in
DMF, the required amounts (see Table S1) of nBA and THY were added followed by four freeze–pump–thaw
cycles. Then, the reaction mixture was inserted in a preheated oil
bath of 70 °C and stirred for 7 h. Subsequently the reaction
mixture was precipitated in a methanol–water mixture and recovered
via centrifugation. The polymers were dried under vacuum and yielded
the desired product (Table S1).
Characterization
1H NMR spectra were recorded
at room temperature on a Varian VXR 400 MHz (<span class="Chemical">1H: 400 MHz)
spectrometer using deuterated solvents. Chemical shifts (δ)
are reported in ppm, whereas the chemical shifts are calibrated to
the solvent residual peaks. Gel permeation chromatography (GPC) measurements
were performed in THF at 25 °C (1 mL/min) on a Spectra-Physics
AS 1000, equipped with PLGel 5 μm × 30 cm mixed-C columns.
Universal calibration was applied using a Viscotek H502 viscometer
and a Shodex RI-71 refractive index detector. The GPC was calibrated
using narrow disperse polystyrene standards (Polymer Laboratories).
Melt rheology was carried out via a TA Instruments AR 1000 under nitrogen
flow, and 25 mm parallel plate geometries and interplate gap of 0.8–1
mm were used in all cases. Samples were vacuum-dried overnight before
use. All measurements were performed in the linear viscoelastic regime,
determined via torque sweep measurements. Frequency sweeps were carried
out at different temperatures (for PTHY100 they were 40, 45, 55, 65,
75, 85, and 90 °C), and for the reproducibility of the data the
measurement at T was
repeated. In all cases, the repeated frequency sweeps were the same
within 5% error.
Results and Discussion
RAFT copolymerization of <span class="Chemical">nBA and THY led to a variety of poly(acrylic
thymine-co-n-butyl acrylate)s (PTHYi, i = (x + y) × 100, representing the molar percentage of thymine moieties
in the polymer) with different contents of thymine. Polymers with
dispersities (Đ) of about 1.2–1.3 were
obtained for the [CTA]/[I] = 10/1 system to investigate the LVE within
the sol–gel transition (Scheme and Table ). Acrylic thymine with flexible spacer was chosen so that
the stickers have sufficient freedom to associate/dissociate.[10]
Scheme 1
Synthesis of PTHYi (Co)polymers
via RAFT Copolymerization of nBA and THY
Table 1
Molecular Characterization of the (Co)polymers
sample
stickera (mol %)
no. of stickers per chaina
M̅na (kg/mol)
M̅n,stickb (kg/mol)
PnBA
0
0
24
PTHY10
8
18
32
1.8
PTHY30
32
43
26
0.6
PTHY100
100
159
51
0
Estimated from 1H NMR.
Average molecular weight between the stickers in
the copolymers.
Estimated from 1H NMR.Average molecular weight between the stickers in
the copolymers.1H NMR analysis of the products (Figure and Figures S1–S4) proves the formation of the <span class="Chemical">(co)polymers. The peak at 11.20 ppm,
which belongs to the −NH proton shows two peaks adjacent to
each other. This can be due to hydrogen bonding between −NH
hydrogendonor and two different hydrogen bond acceptors, leading
to two different chemical shifts: one with DMSO (solvent) and another
one with C=O in thymine moiety. By comparing the relative ratio
of these two peaks, a transition can be seen with a change in sticker
composition such that the left peak diminishes and the right peak
enlarges (Figure S5). It can be a signature
of intramolecular association as the amount of thymine is significantly
increased to one per repeating unit and consequently the probability
of intramolecular association enhanced remarkably. Further analysis,
unfortunately, failed due to very low solubility or insolubility of
the polymers in other solvents or lower temperatures.
Figure 1
1H NMR spectra
of PTHY10 in DMSO-d6. *water residue,
**DMF residue, and ***DMSO-d6.
1H NMR spectra
of <span class="Chemical">PTHY10 in DMSO-d6. *water residue,
**DMF residue, and ***DMSO-d6.
For the prepared (co)polymers with different <span class="Chemical">thymine
contents the linear viscoelasticity (LVE) was investigated via melt
rheology, and the corresponding master curves were built experimentally
by horizontally shifting of the frequency sweeps by a shift factor a, following a Williams–Landel–Ferry
(WLF) equation, referenced to T = T + 40 °C
(Figure ). Thermorheologically
complex (TRC) behavior was observed for samples containing stickers,
in particular for PTHY100 (see Table ). This is a well-known behavior for sticker-containing
polymers[3,8,15,16,20,21] originating from different temperature dependence of τ and τ0 (relaxation time
of one Kuhn segment):where E stands for the activation energy of the sticker
dissociation.[3] At high temperature (75,
85, and 90 °C), the terminal relaxation of PTHY100 becomes visible
and the relaxation time (controlled by τ) shifts to higher frequencies with temperature increase, indicating
an accelerated sticker dissociation in comparison to the Rouse-type
motion (Figure d).
Figure 2
Test of tTs of the storage and loss moduli for (a) PnBA, (b) PTHY10,
(c) PTHY30, and (d) PTHY100, referenced to T = T + 40 °C.
Test of tTs of the storage and loss moduli for (a) PnBA, (b) <span class="Chemical">PTHY10,
(c) PTHY30, and (d) PTHY100, referenced to T = T + 40 °C.
On the other hand, considering only the high frequency part
of the storage modulus, time–temperature superposition (tTs) is fairly satisfied. This can be explained by using
the Maxwell model G′(ω) = ∑ω2τ2/(1 + ω2τ2) and G″(ω)
= ∑ωτ/(1 + ω2τ2), in which G′ scales with τ2 (sensitive to slow
modes) and G″ scales with τ (sensitive to fast modes).[8] In consequence, G′ is more sensitive to
the sticker dissociation (slow modes of relaxation) at low frequencies,
and a more noticeable TRC is observed. While in Figure the constructed master curves are based
on the shift factors a, we now build these last ones only based on G′
data using different shift factors a′, such that tTs can be satisfied. Figure a shows
the master curves ending up with a terminal slope close to 2. At highest
frequencies Rouse-like behavior is observed for all samples (zone
I; black line). In the case of the reference sample without sticker
the terminal relaxation is subsequently visible with a slope close
to 2, corresponding to the Maxwell relaxation (zone IV; blue line).
This indicates that <span class="Chemical">PnBA as expected is within the first regime (ε
= −1). For PTHY10, zone II (red line) is observed in the intermediate
frequency (ω ∼ 1–100 rad/s), which is further
extended to lower frequencies (ω ∼ 0.1 rad/s) for PTHY30
with a slope close to 1. This is indicative of a cluster formation
expressed by the MF percolation (−1 < ε < −εG) (Figure b). With increased sticker concentration to 100%, a fourth region
is observed (green line) showing a slope of around 0.67, covering
1 decade of the master curve just before the terminal relaxation and
showing a transition from MF percolation to the critical percolation
(Ginzburg point) and −εG ≤ ε
< εc. It has to be noted that the assignment of
this regime to −εG ≤ ε < εc is solely based on the slope of 0.67 and the location just
before the terminal relaxation, and it does not necessarily show that
−εc ≤ ε (in the effective breakup
region) as these two regimes (−εG ≤
ε < −εc and −εc ≤ ε < εc) show a common theoretical
slope 0.67 and hard to distinguish between them only based on the
slope values. The storage modulus in this region has contributions
from the segmental motion of the precursor chain in zone I (black
line in Figure a,b),
Rouse relaxation of the cluster formed within MF percolation regime
in zone II (red line), Rouse relaxation of the entire cluster formed
by critical percolation in zone III (green line), and finally the
Maxwell type terminal relaxation of the cluster (blue line).[3] The larger size of the zone II compared to the
zone III refers to the domination of MF percolation, which is consistent
with the fact that chains are overlapping (MF assumption) with N = 159. The lifetime of the cluster is much longer than
τ observable from the τchar which goes to very low frequencies. The modulus values
corresponding to zone II (and III) are much lower than υkT (= ρRT/M = 5.5 × 104 Pa), which verifies that the system is well below the full
gel point. These values are surprising as p = 0.006 and ε = 166 ≫ 1 for PTHY100.
On the other hand, no plateau was observed, which means only few stable
stickers with long lifetime are present, and the chains relax as an
ensemble of linear polymers (sol) and clusters (gel). The fact that
only a fraction of the weak stickers are associated (no network can
be formed even with the expense of full functionalization of the precursor
polymer, PTHY100), but they stay active leading to a cluster stable
even until very low frequencies (long times), has important implications;
being a weak hydrogen bonding does not necessarily mean a fast destruction
of the network, but it means that the amount of active moieties is
much less than a covalent analogue. Therefore, strength in this sense
is a thermodynamic character, with weak hydrogen bonding having low
equilibrium constant (∼70 M–1)[22] and both kass and kdiss are either both low or both
are equally high so as to keep K (their ratio) low. As kdiss ∼
1/τ long lifetime of the cluster
can suggest a small kdiss and kass. This implies little tendency for association
(no network formation) as well as dissociation (long-lasting cluster).
(a) Master
curves constructed for PnBA, <span class="Chemical">PTHY10, PTHY30, and PTHY100
referenced to T = T + 40 °C. (b) Summary
of the modified MF percolation theory, including the Ginzburg transition
and critical percolation regime.[3]
In order to have more insight
into the kinetics, we use the two
sets of shift factors a and a′ to obtain the activation energy
of dissociation E (Figure S6). At low temperatures, both shift factors
overlap, which shows the contribution from the Rouse-type motion.
However, by increasing temperature, they diverge and a′ no longer follows the WLF behavior; instead, it shows
<span class="Disease">Arrhenius dependence with a corresponding activation energy of E = 163 kJ/mol. However, this
value does not reflect the dynamics of the stickers, as it was recently
shown by Chen et al.,[3,8,14] who
studied the associative energy in strongly associating polymers, such
as PnBA functionalized with 2-ureido-4(3H)-pyrimidinone
(Upy) and sulfonated polystyrene (SP). The authors showed that based
on eq , a much lower
value of E was found
(33 and 70 kJ/mol for PnBA-UPy and SP8 compared to 75–120 and
177 kJ/mol with the a′ method).[5−7,9] This inconsistency was explained
by the fact that E based
on eq corresponds to
τ/τ0, whereas
using ln(a′) vs 1/T the effect of segmental dynamics (related to τ0) is not excluded. Therefore, an accurate method to calculate E is to use a′/a, which
is proportional to τ/τ0. Using this strategy, we obtain 52 kJ/mol, which is much
closer to 33 and 70 kJ/mol obtained for PnBA-UPy and SP from τ/τ0 (eq ) and 37 kJ/mol for PnBA-UPy based on a′/a.[8] There is still one question left:
with such a high Ea (52 kJ/mol ≫ kT) large fractions of the stickers should be associated,
so why can no plateau be seen in the corresponding master curve (Figure a)? In order to explain
this apparent contradiction, it should be noted that despite the weakness
of the stickers they are abundant. Anthamatten et al.[9] investigated the E of polymers based on AA, AP, and CEA and realized that increasing
the sticker concentration leads to an increase in E, while no plateau referring to network
formation was observed. These findings indicate that high concentrations
of weak hydrogen bondings are not equivalent to small number of strong
stickers. This revelation is applicable to PTHY100 with high E, in which the stickers are
distributed along the entire polymer; i.e., weak hydrogen bondings
have a much wider distribution of energy, which may lead to a lack
of network formation. However, another explanation would be the presence
of multiple hydrogen bonding for PTHY100, which may further broaden
the power-law region. Another plausible explanation considering the 1H NMR analysis (Figure S5) can
be the presence of intramolecular associations. With increasing the
sticker concentration, although ε increases the probability
of intramolecular associations also increases as was confirmed with 1H NMR investigations, preventing the chains to form a network.
An important difference between weak and strong stickers in general
is that with increasing temperature the fraction of weak stickers
that are in the associated state can change whereas it is not the
case for strong hydrogen bonding moieties. This can influence the
values obtained for the activation energy. Nevertheless, Figure d shows that this
effect is not significant, besides considering that the majority of
the stickers must be associated leading to a cluster relaxation as
was observed in Figure a.It has to be noted that after
the terminal slope of close to 2 for samples PnBA, <span class="Chemical">PTHY10, and PTHY30,
they do not fully relax and a shoulder is observed if the data regarding
lower frequencies is considered, as indicated by a G′ slope slightly lower than 2 (Figure ). The absence of terminal slopes of 2 and
1 for G′ and G″ in
random copolymers bearing stickers has been ascribed to different
phenomena: (1) a random distribution of the stickers along the chain,
(2) a disproportionate amount of stickers in different chains, and
(3) polydispersity in the chain length, leading to a distribution
of terminal relaxation times.[18,19] However, this effect
has been seen for unfunctionalized PnBA as well.[16] For the case of PnBA it has been argued that the appearance
of a slope smaller than 1 and 2 is due to the presence of acrylic
acid groups formed via accidental hydrolysis during the synthesis
of PnBA. On the other hand, the presence of nanodomains and nanophase
separation in poly(n-alkyl acrylate)s (for alkyl
groups larger than propyl, i.e., butyl, pentyl, etc.) has been reported
earlier.[17] Because of the incompatible
main chain and alkyl side chain, the alkyl nanodomains form aggregates
with a typical size of 0.5–2 nm. Although the authors did not
perform melt rheology to visualize this phenomenon, this explanation
for the terminal shoulder in PnBA seems to be more plausible than
partial hydrolysis of n-butyl acrylate groups to
acrylic acid moieties. For the case of PTHY10 and PTHY30, both the
sticker distribution and the presence of phase-separated acrylate
moieties can be the reason for the smaller slopes than expected at
the lowest frequencies. This is especially interesting when the master
curve of PTHY100 is studied (Figure ). A well-defined terminal relaxation was observed
with G′ values close to 0.01 Pa. This implies
that the arrangement of butyl groups is prevented by bulky thymine
groups for PTHY100, and no phase separation can be seen in the corresponding
master curve when the butyl acrylate composition is zero. Moreover,
the sticker distribution is prevented when using fully functionalized
polymerPTHY100. It has to be pointed out that even in the case of
PTHY100 the terminal G′ slope is not exactly
2, which might be due to relative chain length distribution (Đ) of 1.3. Further analysis of phase separation requires
X-ray analysis and will be the goal in our future studies; therefore,
at this point only a primary conclusion can be made based on the melt
rheology data.
Figure 4
Full master curves for (a) PnBA, (b) PTHY10, (c) PTHY30,
and (d) PTHY100, referenced to T = T + 40 °C.
Full master curves for (a) PnBA, (b) <span class="Chemical">PTHY10, (c) PTHY30,
and (d) PTHY100, referenced to T = T + 40 °C.
Conclusion
By using
different compositions of a flexible weak sticker along the polymer
chain, LVE analysis showed a behavior remarkably close to the recently
developed gelation theory for transient networks. The scaling revealed
a transition from linear chains to a cluster, but any attempt to obtain
a gel/network failed. First, by introducing one sticker per repeating
unit of the precursor <span class="Chemical">polymer, the effect of sticker distribution
along the chain as well as phase separation is excluded, and then
considering pure contribution from association of the stickers two
conclusions were made: First, as the formed cluster was stable until
very low frequencies (long time scales), this shows that weakly associated
networks do not dissociate rapidly and can relax as a cluster at extended
time before the dissociation of stickers can lead to the relaxation
of the linear precursors (slow kinetics). Second, since the formation
of gel was not possible even with the expense of a fully functionalized
polymer chain bearing 159 stickers, this shows that the weakness of
the stickers is their inability for complete association (thermodynamically
not favored).
Authors: H Goldansaz; Q Voleppe; S Piogé; C A Fustin; J F Gohy; J Brassinne; D Auhl; E van Ruymbeke Journal: Soft Matter Date: 2014-12-10 Impact factor: 3.679