As the complexity of polymer structure grows, so do the challenges for developing an accurate understanding of their structure-property relationships. Here, the synthesis of bottlebrush polymers with topologically precise and fully discrete structures is reported. A key feature of the strategy is the synthesis of discrete macromonomer libraries for their polymerization into topologically precise bottlebrushes that can be separated into discrete bottlebrushes (Đ = 1.0). As the system becomes more discrete, packing efficiency increases, distinct three-phase Langmuir-Blodgett isotherms are observed, and its glass transition temperature becomes responsive to side-chain sequence. Overall, this work presents a versatile strategy to access a range of precision bottlebrush polymers and unravels the impact of side-chain topology on their macroscopic properties. Precise control over side chains opens a pathway for tailoring polymer properties without changing their chemical makeup.
As the complexity of polymer structure grows, so do the challenges for developing an accurate understanding of their structure-property relationships. Here, the synthesis of bottlebrush polymers with topologically precise and fully discrete structures is reported. A key feature of the strategy is the synthesis of discrete macromonomer libraries for their polymerization into topologically precise bottlebrushes that can be separated into discrete bottlebrushes (Đ = 1.0). As the system becomes more discrete, packing efficiency increases, distinct three-phase Langmuir-Blodgett isotherms are observed, and its glass transition temperature becomes responsive to side-chain sequence. Overall, this work presents a versatile strategy to access a range of precision bottlebrush polymers and unravels the impact of side-chain topology on their macroscopic properties. Precise control over side chains opens a pathway for tailoring polymer properties without changing their chemical makeup.
Branched
polymers such as bottlebrush polymers (BBPs, Scheme a) are promising
material platforms for ultrasoft interfaces,[1−3] sensing,[4−6] and delivery applications[7−9] because they possess unique entanglement-free
rheology and high functional group density.[10−13] In the past decade, the synthesis
of complex BBPs with myriad polymeric side-chain architectures has
been enabled by the development of grafting-to, -from, and -through
strategies.[14−17] However, such multifunctional BBPs have disperse backbone and side
chains, and thus, their properties reflect a broad distribution of
species, not the individual brushes. Each layer of dispersity introduced
in the BBP synthesis amplifies the number of species in the mixture
in an exponential manner (Scheme b). This challenge is further compounded by limitations
for estimating BBP structure. For BBPs prepared by grafting-through,
the backbone degree of polymerization (NBB) is calculated by dividing its total number averaged molecular weight
(Mn) from light scattering analysis by
the Mn of the disperse macromonomer. Given
the side chain length is not identical across the backbone length
of BBP,[18−20] understanding the impact of structural precision
on BBP heterogeneity and properties remains a grand challenge.
Scheme 1
Synthesis of Topologically Uniform, Discrete, and Block Bottlebrush
Polymers
Đ: dispersity
index, NBB: backbone degree of polymerization, NSC: side chain degree of polymerization.
Synthesis of Topologically Uniform, Discrete, and Block Bottlebrush
Polymers
Đ: dispersity
index, NBB: backbone degree of polymerization, NSC: side chain degree of polymerization.Accurate insights into the structure–property
relationship
of bottlebrush polymers are crucial for their rational design. Inspired
by the well-defined structure and functional precision of aggrecan,[21,22] a bottlebrush-like biopolymer, we synthesized a library of topologically
uniform (‘truly cylindrical’[23]) precision bottlebrush polymers (PBPs, ĐSC = 1.0) using discrete macromonomers (Scheme c). Previous studies have shown
that discrete oligomers and polymers exhibit strong length-dependent
properties distinct from their disperse counterparts.[24−33] Without controlling side-chain dispersity, the permutation of side-chain
arrangements in conventional BBPs imposes a significant challenge
for understanding their structure–property relationships,[34] especially, at the underexplored regime of low NBB and NSC.[35,36]Here, we report that both the properties and topology of BBPs
are
significantly impacted by the dispersity of their side chains. To
date, only grafting-through techniques such as ring-opening metathesis
polymerization (ROMP) can yield BBPs with fully grafted polymeric/bulky
side chains.[37−39] However, the rapid kinetics of ROMP can lead to the
assumption that all macromonomer species polymerize at a similar rate.
Rather, we posited the polymeric macromonomer size affects their propagation
rate constant (kp), with the resulting
bottlebrush topology being significantly impacted by macromonomer
dispersity, especially for NSC < 10.
Corroborating our hypothesis, kp of disperse
polymeric macromonomers was found to approach a constant value only
when NSC approaches 100.[40] A significant polymerization rate difference between macromonomer
species in disperse mixtures raises the concern of topological accuracy
and structural heterogeneity in disperse BBPs. The polymerization
of discrete macromonomers described in this study addresses this challenge
because it yields Tetris-like bottlebrushes with uniform and tailorable
side-chain topology. Importantly, the well-defined structure of PBPs
opens access to truly discrete bottlebrush polymers (DBPs, ĐBB & ĐSC = 1.0). As we show later, a versatile and scalable
strategy to prepare a range of PBPs in linear and block topology enables
us to examine the impact of side-chain dispersity on the physical
and thermomechanical properties of brush polymers. The broad scope
of this strategy was also illustrated through the synthesis of PBPs
and DBPs from other monomer families.
Results and Discussion
Synthesis
of Macromonomers and Bottlebrush Polymers
Standard controlled
polymerization and chain end-functionalization
strategies were employed to prepare disperse macromonomers. The disperse
parent materials were then separated into a library of discrete macromonomers
(see the Supporting Information).[26,31,35,41−45] This multistep approach is critical for removing traces of nonfunctional
byproducts and impurities.[46] Vinyl monomers
were chosen for this study because of their wide monomer scope, synthetic
versatility, and potential relevance toward other bulky macromonomers
(e.g., branched alkyl, conjugated).[47] A
polymeric side chain of NSC ≈ 10
is comparable to C20 alkyl side chain, lengthwise.All macromonomers
and bottlebrush polymers synthesized in this study were characterized
using NMR, size-exclusion chromatography (SEC), and MALDI-ToF (Table S1). As an example, 1H NMR analysis
confirmed the quantitative conversion of tetrameric bromine terminated
oligo(tert-butyl acrylate) (oTBA4-Br) into norbornenyl-oTBA4
(NB-oTBA4), as seen in the downfield shift of the chain-end
methine protons from 4.1 to 4.8 ppm and the appearance of the norbornenyl
cyclic alkene proton at 6.1 ppm. Ideal integration ratios were seen
for all characteristic peaks of discrete macromonomers (Figures S3–S5). The structural purity
of discrete macromonomers was confirmed using SEC and MALDI-ToF (single
molecular peak, calculated for T4 = 664.42, observed
= 664.48, Figures S22 and S23).With
disperse and discrete macromonomers in hand, bottlebrush polymers
with tailored NBB and NSC were synthesized using pyridine-ligated Grubbs third
generation catalyst (G3) (Figure a). G3 catalyst is well-suited for kinetic studies
as initial screening confirmed its slower polymerization rate relative
to other G3 variants (∼20% of 3-bromopyridine-ligated G3),
in agreement with the literature.[48] The
averaged total molecular weight of BBPs and PBPs were estimated using
SEC equipped with a multiangle light scattering detector, and the
molecular mass of unimolecular DBPs was determined using MALDI-ToF.
A stochastic model was constructed to simulate the molecular weight
distributions of the BBP and the distribution of side chains along
the backbone (see the Supporting Information).
Figure 1
(a) Bottlebrush polymer synthesis via grafting-through ROMP. (b)
SEC RI traces of ROMP of disperse tetramer, NB-otBA4,
at various reaction times. (c) SEC traces of ROMP of discrete trimer, T3 and pentamer, T5. (d) In [M]0/[M]t vs polymerization time for discrete macromonomers. (e) kp vs length of the discrete macromonomers, T2–T9.
The total peak areas of all SEC traces were normalized to unity.
(a) Bottlebrush polymer synthesis via grafting-through ROMP. (b)
SEC RI traces of ROMP of disperse tetramer, NB-otBA4,
at various reaction times. (c) SEC traces of ROMP of discrete trimer, T3 and pentamer, T5. (d) In [M]0/[M]t vs polymerization time for discrete macromonomers. (e) kp vs length of the discrete macromonomers, T2–T9.
The total peak areas of all SEC traces were normalized to unity.
Impact of Macromonomer Dispersity on Polymerization
Kinetics
Through examining the grafting-through ROMP kinetics
of disperse
and discrete macromonomers, we found the propagation rate constant
(kp) of short macromonomers (NSC < 10) to be inversely proportional to the square
root of their chain length. While length-dependent propagation rate
behavior was recently observed for disperse macromonomers with NSC up to 50,[40] we
hypothesized that the pronounced impact of dispersity, especially
on short polymer chains, will necessitate the use of discrete systems
to obtain accurate and reproducible kp values. Following standard procedures, macromonomer conversion was
calculated by analyzing the NMR spectra and SEC traces[43,49] of aliquots taken during the polymerization of macromonomers (Figures S28 and S29). Deconvoluting the SEC trace
of disperse system using a Gaussian fitting algorithm showed that
within 30 s, the trimer macromonomer is consumed ∼25% faster
than the pentameric species (Figure b). This finding attracted our attention because the
propagation kinetics of norbornenyl macromonomers under ROMP condition
is fast and less sterically hindered, and therefore the controlled
chain growth process with increasing macromonomer conversion is often
attributed to similar macromonomer reactivity.[50]To obtain accurate propagation rate constants, we
synthesized a library of discrete macromonomers (dimer to nonamer, T2–T9) and examined their homopolymerization kinetics.
The trimeric T3 polymerizes 50% faster than the pentameric T5 (Figure c), and the propagation
rate of T2 is ∼220% the rate of T9 (kp,T2 = 26 × 10–3 s–1, kp,T9 = 11.8 × 10–3 s–1, Figure d). The polymerization of each discrete macromonomer
maintains its living characteristics, as seen in their pseudo-first-order
kinetics and the linear relationship between ln[M]0/[M]t and polymerization time (Figure d). Our kinetic analysis suggests that the
polymerization rate of discrete TBA macromonomer (N < 10) follows a size-dependent exponential decay with kp ∼ 1/√N (Figure e), which is attributed
to the self-diffusion coefficient of each macromonomer species in
the solution and the steric hindrance of the propagating brush ends.Importantly, further analysis shows that macromonomer dispersity
and size-dependent kinetics significantly amplify the heterogeneity
of conventional BBPs because the propagating brush ends encounter
different ratios of shorter and longer macromonomers over time. MALDI-ToF
analysis of BBP-oTBA4 reveals
a multimodal distribution of >70 bottlebrush species, despite the
low dispersity as measured by SEC analysis (Đ = 1.2) (Figure a).
In contrast, the MALDI-ToF spectra of PBP-T4 show a monomodal distribution of only seven species,
a decrease of one magnitude in sample heterogeneity. To understand
the impact of macromonomer dispersity and size-dependent polymerization
rate on heterogeneity, we constructed a stochastic polymerization
model using the kp values for each discrete
macromonomer. The use of accurate concentration of each species and
their kp values from the experimental
data (Figure b,e)
enables the model to reproduce the multimodal heterogeneity observed
for BBP sample (Figure S47). The model
also shows that the propagating brush ends encounter an increasing
hexamer-to-trimer ratio throughout the polymerization (Figure S48). Taken together, our simulation confirmed
our hypothesis and yielded two important insights: (a) conventional
BBPs have tapered or asymmetric side-chain arrangements and (b) a
small structural variation in narrow disperse macromonomers can have
a profound effect in amplifying the final bottlebrush distribution.
As we show later, indeed, the amplification of structural heterogeneity
in bottlebrush polymers impacts their properties.
Figure 2
(a) MALDI-ToF spectra
and SEC traces of bottlebrush polymers prepared
from grafting-through ROMP of disperse tetramer (red) and discrete
tetramer (black). (b) MALDI-ToF spectra of discrete bottlebrush polymers
(DBP-T4, n = 3 to 6) with isolated yields.
(a) MALDI-ToF spectra
and SEC traces of bottlebrush polymers prepared
from grafting-through ROMP of disperse tetramer (red) and discrete
tetramer (black). (b) MALDI-ToF spectra of discrete bottlebrush polymers
(DBP-T4, n = 3 to 6) with isolated yields.
Discrete Bottlebrush Polymers
To fully understand the
impact of heterogeneity on the properties of brush polymers and advance
future simulation models, access to truly discrete bottlebrushes (Đ = 1.0) is desirable. The well-defined composition
of PBPs enabled the isolation of fully discrete bottlebrush polymers
(DBP), with single molecular ions observed by MALDI-ToF
analysis correlating to each expected structure. We were initially
encouraged by the unique SEC profile of PBP-T4, which shows multiple peaks corresponding to bottlebrushes
separated by precisely one tetramer side chain despite having a similar
overall dispersity with BBP-oTBA4, according to SEC analysis
(Figure a, see also Figure S31 for other PBP samples).The
clear identification of each PBP species proves useful for optimizing
the isolation of a library of DBPs in a scalable and
consistent manner using recycling preparative SEC or automated flash
chromatography (Figures b and S30). NMR, SEC, and MALDI-ToF analysis
confirmed the isolation of unimolecular brush polymer libraries in
near-quantitative yield. The single molecular ion of DBP-T4 corresponds to the sodium adduct of a bottlebrush
polymer with precisely 24 t-butyl acrylate functional
groups (calculated = 4113.56, observed = 4113.96, Figure a). The versatility of this
two-step polymerization-separation strategy was demonstrated through
the isolation of styrenic-DBPs with a range of molecular weights and
aspect ratios such as DBP-S5 (3,991 Da, NBB/NSC = 1.0), DBP-S5 (4,763
Da, NBB/NSC = 1.2), and DBP-S5 (5,536
Da, NBB/NSC = 1.4) (Figures b and S30). Note that larger discrete
bottlebrushes can be isolated through judicious choice of macromonomer
size and separation conditions (e.g., column size, number of cycles).
Having homogeneously distributed functional groups and tailorable
three-dimensional structures (NBB/NSC ratio), DBP is a new promising addition to
the family of precision macromolecules for targeted and precision
technologies.
Figure 3
(a) Calculated and observed mass of DBP-T4 species and
the isotopic
distribution pattern of DBP-T4. (b) Styrenic DBP-S5 libraries. Please note that shorter and longer brushes
were also obtained.
(a) Calculated and observed mass of DBP-T4 species and
the isotopic
distribution pattern of DBP-T4. (b) Styrenic DBP-S5 libraries. Please note that shorter and longer brushes
were also obtained.
Impact of Dispersity on
Inter-Brush Interactions and Properties
A question remains
regarding the impact of side chain and backbone
dispersity and their effect on the properties of bottlebrush polymers.
Using a previously established method,[35,51] we constricted
inter-brush interactions to a two-dimensional Langmuir–Blodgett
(L–B) monolayer and examined three samples, BBP-oTBA4 (ĐSC =
1.1), PBP-T4 (ĐSC = 1.0,) and DBP-T4 (Đoverall = 1.0). Even for a short NBB of 6, only the samples with discrete side
chains (PBP and DBP) exhibit previously unseen[51−54] sharp liquid-to-solid phase transition.
Notably, the packing density of brush polymers at the air–water
interface increases significantly as the structure becomes fully discrete
(Figure a). Indeed,
the impact of dispersity is important for brush polymers, especially
for low NSC and NBB.
Figure 4
(a) Langmuir–Blodgett (L–B) surface pressure-area
isotherms of bottlebrush polymer, BBP-otBA4 (red), precision bottlebrush polymer, PBP-T4 (blue), and discrete bottlebrush polymer, DBP-T4 (green). (b) L–B isotherms
of structurally different isomers with NSC ≈ 4 and NBB ≈ 30; BBP-otBA4 (dashed red), PBP-T4 (blue), b-PBP-T2T8 (brown),
and b-PBP-T8T2T8 (black).
(c) Interaction potential energy as a function of backbone distance
between parallel bottlebrushes, calculated for samples having disperse BBP-otBA4 (red) and discrete PBP-T4 (blue) side chains. (d) L–B
isotherms of PBPs with NBB ≈ 30
with different discrete side chain lengths, PBP-T2 (brown), PBP-T4 (blue), and PBP-T8 (purple).
L–B isotherms of topologically uniform (e) PBP-T4 and (f) PBP-T4 with phase transition to close-packed structures labeled.
Phase transitions from regime i to ii (gas-to-liquid phase) and ii
to iii (liquid-to-solid phase) were determined by taking the first
derivative of the isotherms and are indicated with green and orange
arrows, respectively. Schematics of bottlebrushes are indicated in
the plot legends for clarity.
(a) Langmuir–Blodgett (L–B) surface pressure-area
isotherms of bottlebrush polymer, BBP-otBA4 (red), precision bottlebrush polymer, PBP-T4 (blue), and discrete bottlebrush polymer, DBP-T4 (green). (b) L–B isotherms
of structurally different isomers with NSC ≈ 4 and NBB ≈ 30; BBP-otBA4 (dashed red), PBP-T4 (blue), b-PBP-T2T8 (brown),
and b-PBP-T8T2T8 (black).
(c) Interaction potential energy as a function of backbone distance
between parallel bottlebrushes, calculated for samples having disperse BBP-otBA4 (red) and discrete PBP-T4 (blue) side chains. (d) L–B
isotherms of PBPs with NBB ≈ 30
with different discrete side chain lengths, PBP-T2 (brown), PBP-T4 (blue), and PBP-T8 (purple).
L–B isotherms of topologically uniform (e) PBP-T4 and (f) PBP-T4 with phase transition to close-packed structures labeled.
Phase transitions from regime i to ii (gas-to-liquid phase) and ii
to iii (liquid-to-solid phase) were determined by taking the first
derivative of the isotherms and are indicated with green and orange
arrows, respectively. Schematics of bottlebrushes are indicated in
the plot legends for clarity.Interestingly, the distinct first-order phase transitions from
gas-to-liquid and especially liquid-to-solid regimes are also observed
for larger PBPs. All PBP samples exhibit this unique behavior regardless
of their side chain (NSC = 2–8)
and average backbone length (NBB ≈
6–30) (Figure b,d). In contrast, all disperse side chain samples do not display
sharp phase transition from liquid-to-solid regime, presumably due
to side-chain dispersity-induced topological defects. We speculate
that the uniform topology of PBPs imparts homogeneous backbone stiffness
and inter-brush interactions. To understand the impact of side-chain
interactions on packing behavior, brush–brush pair potentials
were calculated for coarse-grained models of bottlebrushes with disperse
and discrete side chains (BBP and PBP, NBB ≈ 30, NSC ≈ 4). As expected,
the disperse side chains of BBP pair interact first at a brush–brush
distance of 8 nm gradually, while the side chain–side chain
interactions of PBP pair starts at a much shorter distance of 5 nm,
followed by a steep potential change to a minimum potential at ∼3.8
nm (Figures c and S49). The uniform rigid rod-like behavior of
PBP samples and their higher packing density was also confirmed through
coarse-grained molecular dynamics studies (Langmuir–Blodgett
simulations, Figure S50).Notably,
PBP samples display packing behavior that scales proportionately
with their side chain length (Figure S41), which confirms their uniform backbone stiffness and rod-like behavior
upon compression at the air–water interface (Figure d). Owing to their discrete
side chains, the phase transition point from liquid-to-solid for PBP-T4 is precisely 5 times that
of PBP-T4 (80 vs 16 nm2/molecule, Figures e–f and S42). Collectively, our
results highlight the first observation of both early interactions
between bottlebrushes (gas-to-liquid) and the eventual side chain–side
chain interaction upon compression (liquid-to-solid), with the overall
packing efficiency being strongly impacted by topological uniformity.
Designing the Side-Chain Topology to Tailor Functions
The
spatial feature of polymers determines their conformational and
thermomechanical properties. To illustrate the importance of macromonomer
dispersity and designer topology, three architectural variants/isomers
were prepared via sequential block polymerization: PBP-T4 (homo-T4), b-PBP-T2T8 (diblock-T2/8),
and b-PBP-T85T220T85 (triblock-T8/2/8)
(Figures a, S12–S15, S32, and S33). Encouragingly,
the block size in these b-PBP samples could be estimated using NMR
analysis (Figure a).
L–B studies of these variants clearly demonstrate that a slight
change in the side-chain topology dramatically affects the inter-brush
interactions of bottlebrush polymers (Figures b and S40). Among
bottlebrush samples with average NSC ≈
4, the surface pressure (Π) increase is observed first for the
triblock-T8/2/8 at 210 molecule/nm2, followed by the diblock-T2/8
(170 molecule/nm2) and homo-T4 (135 molecule/nm2). The significantly lower packing efficiency of the triblock brushes
is attributed to the presence of octamer blocks at both brush ends,
which increase voids between the dimer sections, as also confirmed
via coarse-grained MD simulations (Figure S51). Furthermore, the onset of Π increase for the triblock-T8/2/8
sample at 210 molecule/nm2 (Figure b) is comparable to the onset of Π
increase for PBP with octamer side chains (PBP-T8, 225 molecule/nm2, Figures d and S40), which suggests that homo- and multiblock PBPs can be
designed to assemble into monolayers with tailorable void space (Figures S50 and S51).
Figure 5
(a) 1H NMR
spectra of homobrush PBP-T4 (blue) and diblock PBP-T2T8 (brown).
All spectra are normalized to the resonance for the chain end protons
(a, 6.39 ppm). Integrations of the peaks are shown in italics. (b)
Synthesis of styrenic b-PBP (c) DSC traces of homobrush PBP-S4 (blue), diblock b-PBP-S2S8 (brown),
and triblock b-PBP-S8S2S8 (black).
(a) 1H NMR
spectra of homobrush PBP-T4 (blue) and diblock PBP-T2T8 (brown).
All spectra are normalized to the resonance for the chain end protons
(a, 6.39 ppm). Integrations of the peaks are shown in italics. (b)
Synthesis of styrenic b-PBP (c) DSC traces of homobrush PBP-S4 (blue), diblock b-PBP-S2S8 (brown),
and triblock b-PBP-S8S2S8 (black).Importantly, the dispersity and
block sequence of side chains impact
the glass transition temperature (Tg)
of bottlebrush polymers. To study the impact of tailoring side-chain
dispersity in a precise manner, we prepared poly(styrene)-based bottlebrush
variants/isomers, all of which are glassy solid at ambient temperature: PBP-S4 (homo-S4), b-PBP-S2S8 (diblock-S2/8), and b-PBP- S8S2S8 (triblock-S8/2/8, Figure b). Interestingly, differential scanning
calorimetry (DSC) analysis showed that the homo-S4 and diblock- S2/8
exhibited similar Tg (58 and 55 °C,
respectively, Figure c), despite their markedly different side-chain arrangements, as
the diblock sample only contains dimer and octamer blocks. As the
octamer block was “split” in half and “placed”
at each brush ends, the resulting material (triblock-S8/2/8) was found
to have a lower Tg of 50 °C. We attributed
this Tg difference to two factors inherent
to the triblock sample: (a) the diminished contribution to the backbone
rigidity, and thus Tg, from the shorter
octamer block[55] and (b) the less efficient
packing between triblock brushes. Overall, our results underlined
(1) the importance of precision design for bottlebrush polymers and
(2) its versatility for tuning their thermomechanical properties,
particularly those with short side chains, without introducing a different
comonomer chemistry.
Conclusions
In summary, we describe
the synthesis of topologically precise
and discrete bottlebrush polymer libraries and highlight the importance
of side-chain dispersity. Experimental results support our hypothesis
that macromonomer size and dispersity have a substantial impact on
polymerization kinetics, ultimately affecting the topology of bottlebrush
polymers. Our scalable and efficient strategy to prepare bottlebrush
polymers with uniform and tailored topology represents a powerful
approach for tuning their physical and thermomechanical properties.
The significant potential of side-chain dispersity and topology design
is illustrated in striking differences in monolayer phase transitions,
packing efficiency, and glass transition temperatures between bottlebrushes
having disperse and discrete side chains. New fundamental insights
and precision models are indeed crucial for enabling a closer integration
between experimental and theoretical studies, especially for designing
complex “Tetris-like” soft materials (Tetripols) with
small three-dimensional features and precise functions, as we have
demonstrated through the first report of topologically precise and
fully discrete bottlebrush polymers.
Experimental
Section
Synthesis of Disperse and Discrete Macromonomers
Disperse
oligo(tert-butyl acrylate) and oligo(styrene) macromonomers
were synthesized following previously reported procedures (see the Supporting Information).[26,35] Discrete macromonomer libraries were prepared through chromatographic
separation of disperse parent materials (see the Supporting Information)
Synthesis of Bottlebrush
Polymers
Bottlebrush homopolymers
were synthesized via grafting-through ring-opening metathesis polymerization
(ROMP) of macromonomer catalyzed by Grubbs third-generation catalyst.
Multiblock samples were synthesized via sequential addition of macromonomers
(see the Supporting Information).
Separation
of Disperse Macromonomers and Polymers into Discrete
Libraries
Automated flash chromatography of macromonomer
and bottlebrush polymer samples were performed using a Biotage Isolera
One unit equipped with an evaporative light scattering detector (ELSD,
Teledyne ISCO). A normal-phase cartridge (25/50/340 g) and a hexane/ethyl
acetate gradient were used to separate acrylate macromonomers and
bottlebrush polymers. A reversed-phase C18 cartridge and an acetonitrile/hexane
gradient were used to separate styrenic macromonomers and bottlebrush
polymers.High-resolution separation of macromonomer and bottlebrush
polymer samples was also performed using a preparative-scale recycling
size-exclusion chromatography (rSEC, LaboACE LC-5060, JAIGEL-2HR,
and 2.5HR columns). Polymer samples (200–500 mg) were dissolved
in ethanol-stabilized chloroform (eluent) and filtered before injection.
The separation process was monitored in real time to isolate the desired
fractions.
Mass Spectrometry Analysis
MALDI-ToF-MS
spectra for
all polymer samples were performed in the positive-reflectron mode
(Bruker ultrafleXtreme, flexAnalysis software). Unless otherwise stated,
MALDI spectra were acquired using a trans-2-[3-(4-tert-butylphenyl)-2-methyl-2-propenylidene]malononitrile
(DCTB) or 2,5-dihydroxybenzoic acid (DHB) /sodium trifluoroacetate
(Na-TFA) as matrix.
Langmuir–Blodgett Isotherm Measurements
Langmuir–Blodgett
monolayer experiment was performed on a trough equipped with two movable
PTFE barriers and a platinum Wilhelmy plate probe (Biolin Scientific
KSV NIMA). For each experiment, the trough and barriers were thoroughly
cleaned with three cycles of DI water–acetone–anhydrous
ethanol washing and air-drying. The temperature of the trough was
maintained at 30 °C with a circulating bath. The bottlebrush
polymer sample was spread on the air–water interface by depositing
70 μL of a 0.03 mg/mL chloroform solution. After the solvent
evaporated, the barriers were compressed at a rate of 5 mm/min. For
each sample, the isotherm measurement was repeated at least twice,
and similar procedures were followed for all bottlebrush samples.
Glass Transition Temperature Measurements
The glass
transition temperature (Tg) of polymer
samples was analyzed using differential scanning calorimetry (DSC,
TA Instruments Discovery DSC 250 + RCS 120). The samples were loaded
in a standard aluminum pan, cooled, and heated at a rate of 10 °C/min
for several heating and cooling cycles in the range of 0–120
°C. Tg values for all samples were
determined using TA Universal Analysis software (second heating scan).
Authors: Jimmy Lawrence; Eisuke Goto; Jing M Ren; Brenden McDearmon; Dong Sub Kim; Yuto Ochiai; Paul G Clark; David Laitar; Tomoya Higashihara; Craig J Hawker Journal: J Am Chem Soc Date: 2017-09-19 Impact factor: 15.419
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