The photophysical properties of insoluble porous pyrene networks, which are central to their function, differ strongly from those of analogous soluble linear and branched polymers and dendrimers. This can be rationalized by the presence of strained closed rings in the networks. A combined experimental and computational approach was used to obtain atomic scale insight into the structure of amorphous conjugated microporous polymers. The optical absorption and fluorescence spectra of a series of pyrene-based materials were compared with theoretical time-dependent density functional theory predictions for model clusters. Comparison of computation and experiment sheds light on the probable structural chromophores in the various materials.
The photophysical properties of insoluble porous pyrene networks, which are central to their function, differ strongly from those of analogous soluble linear and branched polymers and dendrimers. This can be rationalized by the presence of strained closed rings in the networks. A combined experimental and computational approach was used to obtain atomic scale insight into the structure of amorphous conjugated microporous polymers. The optical absorption and fluorescence spectra of a series of pyrene-based materials were compared with theoretical time-dependent density functional theory predictions for model clusters. Comparison of computation and experiment sheds light on the probable structural chromophores in the various materials.
Conjugated microporous
polymers (CMPs)[1−4] and related materials, such as
covalent triazine-based frameworks (CTFs)[5,6] and
porous aromatic frameworks (PAFs),[7,8] are a fascinating
class of materials that can, in some cases, combine microporosity
with useful physical properties that arise from their electronic conjugation.[9−12] CMPs typically comprise aromatic organic units covalently bonded
to three or four neighboring units. Insoluble CMPs and related polymers,
such as PAFs, hence have commonly been envisaged as extended 3- or
4-connected networks that contain rings but only a small number of
end-groups.[7,13,14] If this picture is true, then CMPs, CTFs, PAFs, and their like,
would be the closest organic polymer analogues of well-known inorganic
materials such as boron nitride, zinc oxide, and (alumino)silicates,
materials whose structures are also based on 3- or 4-connected networks.[15−17] Alternatively, however, these materials could also resemble highly
branched polymers or dendrimers, which are tree-like molecules with
a relatively large number of end-groups but, typically, no closed
rings. Structural hypotheses and models[14] aside, it is essentially unknown if CMPs, CTFs, and PAFs can be
best described as highly branched polymers or as extended networks,
or even as small but insoluble oligomers, which might nonetheless
exhibit permanent microporosity.[18] This
uncertainty over structure mainly stems from the amorphous or poorly
crystalline nature of the experimental samples, coupled with their
total lack of solubility. However, the need to understand structure–property
relationships is highlighted by the recent discovery of new porous
materials, such as soluble, hyperbranched CMPs and porous dendrimers,[19] organic molecules of intrinsic microporosity,[18] and other discrete organic molecules[20−24] that can show high levels of microporosity in the amorphous, solid
state. Hence, extended networks are not a prerequisite for microporosity,
and network structures cannot simply be assumed because a given material
is microporous, particularly since typical CMP structures, which lack
any deliberate solubilizing functionality, would be expected to become
insoluble at quite modest molecular weights. It is important, therefore,
that methods are developed to elucidate the molecular structures of
CMPs, rather than simply inferring them based upon observations of
permanent microporosity.The experimental determination of the
number of end-groups, for
example by solid-state NMR, should in principle allow us to differentiate
between, e.g., dendrimers and highly extended condensed networks.
In practice, however, this is difficult because side-reactions might
cleave such end-groups, making them invisible to NMR and artificially
lowering the end-group-to-molecular unit ratio. For example, in nickel-coupled
Yamamoto polymerizations of tetrahedral aryl halides,[7,8] it is possible that halogen end groups might be removed by metal-catalyzed
dehalogenation. Additionally, entrained gases, physisorbed water vapor,
or residual catalyst can all lead to difficulties in the precise determination
of end-group concentration by elemental analysis.In this study,
we take an alternative approach and focus on optical
absorption and fluorescence spectra for CMPs as a handle on their
molecular structure. We believe that this is a useful strategy, because
the electronic properties of CMPs are in any case central to many
of their most interesting applications.[12] We demonstrate that the optical properties of CMPs give a unique
insight into the structural elements present in the CMP. Furthermore,
we show that this structural knowledge can also be exploited in terms
of engineering the optical properties of CMPs and related compounds.
We concentrate here on CMPs based on the polymerization of pyrene
monomers,[4,19] but the general approach should be broadly
applicable to other CMPs and compounds such as CTFs and PAFs.
Experimental Section
Materials and Nonoptical
Characterization
All reagents
and solvents were purchased from Aldrich. Reactions were carried out
under a nitrogen atmosphere. Thin layer chromatography (TLC) was performed
using precoated aluminum sheets with silica gel 60 F254 (Merck) and
visualized by UV light (λ = 254 or 280 nm). Merck silica gel
60 was used for column chromatography. Solution 1H NMR
spectra were collected on a Bruker UXNMR/XWIN-NMR 400 MHz spectrometer
while the solid-state 13C NMR spectrum for the ECMP was
collected a 9.4 T Bruker DSX NMR 400 MHz spectrometer equipped with
a 4 mm HXY triple-resonance MAS probe (in double-resonance mode).
FTIR Spectra for the ECMP and its precursors were collected on a Bruker
Tensor 27 spectrometer equipped with a Specac attenuated total reflectance
module. Gel permeation chromatography (GPC) utilized a LC 1120 HPLC
pump, a PL-ELS 1000 Evaporative Light Scattering Detector, a PL gel
5 mm MIXED-C GPC column and Midas autosampler (Polymer Laboratories
Ltd. U.K.). THF was used as the eluent with flow rate of 1.00 mL/min
at 40 °C and polystyrene as the standard. Full synthetic details
and nonoptical characterization results are given in section ESI-1
of the Supporting Information.
Optical Characterization
Solution measurements for
the soluble materials were obtained at 0.04 and 0.004 mg/mL (1,3-linear
pyrene polymer and SCMP) and 1.5 mg/mL (Py(5) dendrimer) respectively
in DCM. For the same soluble materials thin film samples were prepared
by dissolving 20 mg (1,3-linear pyrene polymer and SCMP) or 6 mg (Py(5)
dendrimer) of the compounds in 1 mL of DCM, after which the resulting
solution was added to a quartz cuvette held at an angle and left overnight
to evaporate. The resulting film on the inside of the cuvette provided
a range of film thicknesses for analysis (thickest at the bottom of
the cuvette). Measurements for solid-state powders were obtained by
grinding the sample with KBr. The resulting powder was approximately
99% KBr (by mass).
UV–Vis Spectroscopy
UV–vis
spectra were
obtained using a Shimadzu UV-2550 UV–vis spectrophotometer
running the UVProbe software, version 2.34. All spectra were obtained
as absorbance measurements from 200–800 nm, with scan speed
set to fast and using a slit width of 5 nm. Film and solution samples
were measured in a quartz cuvette as a transmission measurement. Solid
powdered samples were analyzed using the ISR-2200 integrating sphere
attachment with a quartz solid sample holder as diffuse reflection
measurement.
Fluorimetry
Emission and excitation
spectra were obtained
on a Shimadzu RF-5301PC spectrofluorophotometer running RFPC software,
version 2.04. Spectra were obtained using a fast scan speed and with
sensitivity set to high. Slit widths were adjusted so as to maximize
the signal-to-noise for each sample. Solution samples were analyzed
in a quartz cuvette with the standard cell holder attachment. Film
samples were analyzed adhered to the wall of a quartz cuvette placed
in the solid (powder) holder attachment. Powder samples were analyzed
in a quartz solid sample holder held in the solid (powder) sample
holder attachment. Data was exported to Excel for further processing,
and second order diffraction peaks of the excitation wavelength were
manually removed from the spectra and the long wavelength baseline
set to zero.
Computational Methods
The excited
state properties
of pyrene oligomer model clusters were calculated using a six-step
approach. First, for each cluster model we performed a conformer search
using the OPLS-AA forcefield[25] and the
low-mode sampling[26] algorithm as implemented
in MacroModel 9.3 (for more details about the conformer search see
section ESI-2 of the Supporting Information) Second, the ground state singlet (S0) geometries of
the low-energy conformers found in the conformer search were optimized
using ground state density functional theory (DFT) calculations. Third,
where possible, the harmonic frequencies at these optimized S0 geometries were calculated using the same DFT setup to verify
that the optimized structures correspond to proper minima on the S0 energy surface. Fourth, the excitations at the optimized
S0 geometry were calculated using time-dependent density
functional theory (TD-DFT). Fifth, the lowest singlet excited state
of each oligomer was relaxed using TD-DFT,[27,28] to obtain its minimum energy geometry. Finally, frequency calculations
on the excited state minima were performed for selected oligomers
to verify that they correspond to proper minima on the TD-DFT excited
state energy surface. For the DFT/TD-DFT calculations mainly the range-separated
hybrid XC-functional CAM-B3LYP[29] was used
and in some selected cases also the plain hybrid XC-functional B3LYP[30] (mainly to study the ground state energetics),
where for all excitation calculations the Tamm–Dancoff approximation
to TD-DFT was employed. All the DFT/TD-DFT calculations employing
the CAM-B3LYP XC-functional used a combination of NWChem 6.0[31] (vertical excitation energies) and GAMESS-US[32] version 1 October 2010 R1 (vertical excitation
energies, excited state optimizations) and the 6-31G** split-valence
basis-set.[33] All the DFT calculations employing
the B3LYP XC-functional were performed using the Turbomole 6.3.1 code,[34,35] and employed the double-ζ DZP[36] basis-set.
Results and Discussion
The pyrene-based
CMP network (Scheme 1b)
obtained by homopolymerization of 1,3,6,8-tetrabromopyrene (see Scheme 1a for atom labeling of pyrene) has a reported Brunauer–Emmett–Teller
(BET) surface area of 1508 m2/g and is highly fluorescent.[4]
Scheme 1
Structure of (a) Pyrene with Positional
Numbering System; (b) Idealized
Structure of Polypyrene CMP Network; (c) 1,3-Linear Pyrene Polymer;
(d) 1,8-Linear Pyrene Polymer; (e) Py(5) Dendrimer
Note, solubilizing tert-butyl groups on the 7-position
of structures c and
e have been removed for clarity.
Structure of (a) Pyrene with Positional
Numbering System; (b) Idealized
Structure of Polypyrene CMP Network; (c) 1,3-Linear Pyrene Polymer;
(d) 1,8-Linear Pyrene Polymer; (e) Py(5) Dendrimer
Note, solubilizing tert-butyl groups on the 7-position
of structures c and
e have been removed for clarity.The pyrene-based
CMP network is a member of a broad family of related
pyrene-based polymers and oligomers reported previously in the literature.
This family of structures includes a 1,3-linear polymer based on the
Yamamoto coupling of 1,3-dibromo-7-tert-butylpyrene
(Scheme 1c),[37] first-and
second-generation dendrimers (Py(5) and Py(17), respectively) based
on pyrene coupled via the 1,3,6 and 8 positions (Scheme 1e),[38] and a branched statistical
copolymer of 1,3,6,8-tetrabromopyrene and 1,3-dibromo-7-tert-butylpyrene.[19] The latter copolymer combines
porosity with solubility in selected solvents, and we hence refer
to this as a soluble CMP or “SCMP”. Finally, we note
that the synthesis of a linear polymer, obtained through coupling
of pyrene via its 2 and 7 positions, has also been reported.[39] However, this material is less closely related
to our pyreneCMP[4] than other pyrene polymers
and oligomers because the pyrene monomer is linked through positions
other than 1, 3, 6, and/or 8, and it has very bulky aryl substituents
on the 4,5,9 and 10 positions. As such, we do not discuss this material
here. Hence, we have considered four possible basic architectures:
a linear soluble pyrene polymer, perfectly branched, soluble pyrene
dendrimers, a branched soluble pyrene polymer (the SCMP), and a branched
pyreneCMP “network”.As a first step in understanding
the structure of the pyrene-based
CMP network, we prepared samples of the insoluble CMP network,[4] and the soluble 1,3-linear polymer,[37] Py(5) first-generation dendrimer,[38] and SCMP.[19] We also
synthesized a novel copolymer (ECMP, for ‘expanded-CMP’)
via the cross-coupling of 1,3,6,8-tetrabromopyrene and 1,3-diboronic
ester-7-tert-butylpyrene (Scheme 2). Unlike the SCMP, which is a statistical copolymer based
on similar monomers and where, for example, two 1,3-substituted pyrene
monomers (bifunctional units) might link directly to each other, the
ECMP will have an alternating copolymer structure, where 1,3,6,8-
substituted pyrene monomers (tetrafunctional units) are only linked
to 1,3-substituted pyrene monomers and vice versa. A further immediate
difference between ECMP and SCMP is the lack of solubility for ECMP:
by contrast, the analogous SCMP statistical copolymer is soluble in
a range of common solvents.[19] Full synthetic
details and characterization data are available in the Supporting Information for all these materials
(section ESI-1).
Scheme 2
Synthesis of an “Expanded” Pyrene CMP,
ECMP
We next measured the absorption
and fluorescence spectra for these
samples in solution, where possible, as a thin film cast from solution
(again, where possible), and as a powder mixed with KBr (the only
option for the insoluble CMP and ECMP). These measurements were compared
with those reported previously in the literature for the 1,3-linear
polymer material (solutions and thin films),[37] for the Py(5) material (solution),[38] for
the SCMP material (in solution),[19] and
for the insoluble CMP (powder).[4] This is
the first systematic comparison of the solid-state and solution phase
spectra of these materials. We concentrate here mostly on the fluorescence
spectra, partly because the powder absorption spectra appeared significantly
broadened relative to thin films, possibly due to scattering effects
related to the polymer particle size distribution (there is also a
small red shift in the fluorescence peak position between the thin
film and powder spectra, e.g., 10 nm in the case of 1,3-linear polymer
material, possibly also due to scattering, but with no real effect
on the spectrum shape, for more details see section ESI-3 of the Supporting Information). Moreover, in the case
of a structurally heterogeneous material, such as the insoluble pyreneCMP/ECMP and SCMP are likely to be, the absorption spectrum will be
a convolution of the absorption spectra of a range of different structural
elements (chromophores), all of which displaying vibrational broadening.
As a result, the absorption spectra are harder to interpret in simple
terms.Figure 1 shows the normalized
experimental
fluorescence spectra for the various powder samples. The insoluble
CMP ‘network’ fluorescence spectrum is significantly
red-shifted compared to the other materials, with the wavelength of
the fluorescence maximum increasing as follows: 1,3-linear polymer
(479 nm, 2.6 eV) < Py(5) dendrimer (501 nm, 2.5 eV) < SCMP (526
nm, 2.4 eV) < ECMP (530 nm, 2.3 eV) < insoluble CMP (618 nm,
2.0 eV). It is apparent that the chromophores responsible for fluorescence
in the CMP network and ECMP are quite distinct from those from the
fluorescent chromophores in the 1,3-linear polymer and the Py(5) dendrimer.
It is also clear that the insoluble CMP fluorescence chromophore is
absent in the analogous soluble polymeric materials—most obviously
in the 1,3-linear polymer, which does not fluoresce at all in this
wavelength range. These fluorescence spectra demonstrate that at least
part of the insoluble pyreneCMP network and the ECMP structures are
fundamentally different in character from those of the 1,3-linear
pyrene polymer and the Py(5) dendrimer.
Figure 1
Experimental fluorescence
spectra for the 1,3-linear pyrene polymer
(purple), Py(5) pyrene dendrimer (blue), SCMP (cast film green, precipitated
film orange), ECMP (light red) and CMP (dark red), clearly showing
the red shift in the spectra. In all cases the excitation wavelength,
λex, lay between 350 and 360 nm.
Experimental fluorescence
spectra for the 1,3-linear pyrene polymer
(purple), Py(5) pyrene dendrimer (blue), SCMP (cast film green, precipitated
film orange), ECMP (light red) and CMP (dark red), clearly showing
the red shift in the spectra. In all cases the excitation wavelength,
λex, lay between 350 and 360 nm.We suggest that it is unlikely that these profound differences
in the fluorescence spectra can be ascribed simply to the size or
effective molecular weight of the conjugated pyrene system. For example,
from the solution data of Figueira-Duarte et al.,[38] we know that the difference in fluorescence energy of the
two dendrimers Py(5) and Py(17) is less than 0.1 eV while the system
more than triples in size. Similarly, we know, based on solution data
for the 1,3-linear pyrene dimer and trimer oligomers and the 1,3-linear
pyrene polymer, that the fluorescence energy is effectively converged
with the pyrene dimer.[37,38] It is thus unlikely that simply
increasing the number of conjugated units can explain the large observed
red shift in fluorescence for the insoluble pyreneCMP, or indeed
even the much smaller red shift observed for ECMP. We also believe
that these differences do not arise from agglomeration related effects.
We studied two different SCMP samples; one sample obtained through
precipitation with an antisolvent (orange line in Figure 1) and one obtained through slow evaporation of the
solvent (green line in Figure 1). Both samples
differ strongly in density and porosity to gases (precipitated materials
have much higher porosity than cast materials, where the precipitated
material absorbs nitrogen in micropores while the cast material is
impervious to nitrogen)[19] and thus probably
in degree of agglomeration. The difference in the position of the
peak maximum for cast and precipitated SCMP (8 nm, 0.03 eV) is, however,
small, especially in comparison with the red shift between the 1,3-linear
polymer and the pyreneCMP (see section ESI-3, Supporting Information).A comparison of the experimental
solid-state (powder) absorption
spectra (see Figure S3, section ESI-3 of the Supporting
Information), while complicated somewhat by the peak-broadening
problems discussed above, also suggests that the bulk of the CMP and
ECMP structure are different from that of the 1,3-linear pyrene polymer
and the pyrene Py(5) dendrimer. Not only are the first absorption
maxima of the CMP (417 nm, 3.0 eV) and the ECMP (430 nm, 2.9 eV) red-shifted
compared to both the 1,3-linear polymer (370 nm, 3.4 eV) and Py(5)
dendrimer (397 nm, 3.1 eV), but the CMP and ECMP peak are also much
broader. The dendrimer absorption spectrum reaches 25% of the maximum
intensity of the first peak at 477 nm (2.6 eV, i.e. 0.5 eV below the
peak maximum) while the absorption spectrum of the CMP reaches the
same 25% already at 605 nm (2.0 eV, i.e. 1.0 eV below the peak maximum).
Part of this ∼0.5 eV of extra broadening of the CMP absorption
spectrum might be due to a difference in the inherent vibrational
broadening of the CMP and the dendrimer and/or a difference in the
scattering-related broadening highlighted above. However, the extent
of the broadening also suggest, like for the fluorescence data, the
presence of chromophores in the insoluble pyreneCMP and ECMP that
absorb at wavelengths longer than the peak maximum (i.e., λabs > 417 nm and >430 nm respectively)—that is,
a much
greater red shift than suggested by the peak maximum alone. Again,
solution data appear to rule out an explanation for this red shift
based on an increased conjugation length. In summary, both solid-state
absorption and fluorescence spectra suggest that a significant component
of the insoluble pyreneCMP and ECMP are structurally different to
both the 1,3-linear polymer and the Py(5)/Py(17) dendrimer.We therefore decided to use computational chemistry calculations
on cluster models of the polymer as a means to rationalize these qualitative
observations and to elucidate the type of chromophore that might explain
the large observed spectral red shift in the pyreneCMP and ECMP networks.
The various cluster models that we investigated included fragments
of linear polymers, fragments of dendrimers, and closed pyrene rings
comprising between three and six pyrene units. We predicted the absorption
and fluorescence spectra for the various cluster models and, where
relevant, considered a range of conformers. In keeping with Kasha’s
rule,[40] we assumed in the fluorescence
calculations that transitions from higher singlet excited states (e.g.,
S2) to S1 are so fast that fluorescence occurs in appreciable yield
only from the latter S1 state.We first focused on the materials
for which we have good knowledge
of the molecular topology: that is, the 1,3-linear pyrene polymer
and the Py(5) dendrimer. In previous work,[41] we demonstrated that TD-CAM-B3LYP gives a good match to experimental
absorption and fluorescence spectra of linear 1,3-oligomers and 1,3-linear
polymer in solution after applying a rigid downward shift to account
for the effect of environment (i.e., in this case, solvent) and an
inherent bias of the CAM-B3LYP density functional that results in
the general overestimation of excitation energies. Moreover, we showed
that the spectral features converge rapidly with oligomer length,
and that chains of six pyrene units (in the case of absorption) and
just two pyrene units (in the case of fluorescence) give peak maxima
predictions that are close to those of an infinite polymer. Also,
it was found that the tert-butyl groups could be
omitted without significantly changing the results.[41] Since we are interested here in solid-state versions of
the various polymers, we repeated this earlier analysis for both the
1,3-linear pyrene polymer and the Py(5) dendrimer (Scheme 1c and 1e, respectively),
and compared TD-CAM-B3LYP predictions with experimental data (Figures
S4 and S7 in section ESI-3 of the Supporting Information) for thin films. We focus on films for these solution-processable
materials, rather than powders, because the thin film data have, as
discussed above, a much better resolution for the absorption spectra.
We found that TD-CAM-B3LYP correctly predicts the relative ordering
of the first absorption peak maximum of the 1,3-linear polymer versus
the first absorption peak maximum and shoulder of the Py(5) dendrimer,
and also the relative positions of the fluorescence peak maxima for
both materials. For thin film data, application of a rigid downward
shift of 0.5 eV to the TD-CAM-B3LYP predictions resulted in a good
absolute match between the predicted and observed positions of spectral
features (see Figure 2), and hence, all computational
spectroscopic results hereafter include the same absolute shift. As
the absorption and fluorescence maxima of the powder samples are further
red-shifted by ∼0.1 eV relative to those of thin-film samples
(see discussion above and section ESI-3 of the Supporting Information), this may mean that our calculated
corrected spectra need to be further red-shifted by a similar amount
when comparing to powder spectra.
Figure 2
Comparison of the experimental (solid
lines) and TD-CAM-B3LYP predicted
absorption (dashed lines) and fluorescence (insert) spectra of 1,3-linear
pyrene polymer (purple) and the Py(5) pyrene dendrimer (blue).
Comparison of the experimental (solid
lines) and TD-CAM-B3LYP predicted
absorption (dashed lines) and fluorescence (insert) spectra of 1,3-linear
pyrene polymer (purple) and the Py(5) pyrene dendrimer (blue).For systems such as the 1,3-linear
pyrene polymer and the Py(5)
dendrimer there are only a limited number of possible conformers that
all lie relatively close in energy. Moreover, these conformers are
generally predicted to have very similar optical properties. For example,
the lowest excitation energy of the Py(5) dendrimer varies by less
than 0.05 eV between the five different conformers (see also Figure
S9 in section ESI-4 of the Supporting Information for an example of the effect of oligomers in the case of 1,3-linear
pyrene oligomers).Next, we considered an alternative chromophore
structure that is
strongly related to the 1,3-linear pyrene polymer but which has not,
to our knowledge, been prepared experimentally: the 1,8-linear polymer
(see Scheme 1d). Nonetheless, this substitution
pattern is (theoretically) possible, and would result from the “linear”
Yamamoto coupling of 1,3,6,8-tetrabromopyrene, followed by debromination
from the remaining two brominated positions per pyrene unit. 1,3,6,8-Tetrabromopyrene
does not have a C4 axis, but only a C2 axis perpendicular to the plain
of the ring; that is, it is ‘rectangular’ rather than
“square”, Scheme 1). Hence, the
relative orientation of the pyrene units in the chain results in the
1,3- and 1,8-linear pyrene polymers being structurally different and
having different optical properties. The 1,8-oligomers, and by extrapolation
the 1,8-linear polymer, is predicted to have spectral features that
are slightly red-shifted compared to the 1,3-linear polymer, but rather
similar to the dendrimer; fluorescence at 500 nm (2.5 eV) and two
strong absorption features at 400 nm (3.1 eV) and 375 nm (3.3 eV),
respectively (see also Table 1 and Figure S9
in section ESI-4, Supporting Information). 1,8-Linear polymers and oligomers thus do not appear to make good
candidates for the red-shifted spectral features in the CMP and ECMP.
Table 1
Position of the First
Absorption and
Fluorescence Peaks Predicted for the Different Chromophores.a
absorption
fluorescence
1,3-linear polymer
3.4
2.6
1,8-linear polymer
3.3 (3.1)
2.5
dendrimer
3.6 (3.2)
2.4
3SSS
2.3
1.5
3LLL
2.4
1.8
4SSSS
2.8–3.3
1.9–2.8
4LLLL
2.6–3.1
2.1–2.5
4LSLS
2.6–3.0
2.1–2.4
5SSSSS
3.0
2.6
5LLLLL
2.7–3.1
2.1–2.5
5LSLSL
3.0–3.1
2.4–2.5
6SSSSSS
3.3
2.7
6LLLLLL
3.1
2.6
6LSLSLS
3.5
3.2
All values
are in eV and, as
discussed in the text, rigidly shifted downwards by 0.5 eV. For all
4- and 5-ring chromophores, the observed spread in excitation energies
for the different conformers is presented with the value for the lowest
energy conformer in bold. For the linear polymers and dendrimers,
the position of likely (lower intensity) shoulder peaks is given in
parentheses.
Having considered linear polymers and dendrimers, we next considered
possible cluster fragments of extended networks containing rings.
The possible existence of rings, or “loops”, has been
invoked previously in a structural model for PAF-1 based on isomorphous
replacement in an amorphous silica model.[14] Here, we focused on rings consisting of three to six pyrene units.
It is known from topological considerations that every 4-connected
network will have at least a certain fraction of rings in this size-range.[15,16,42] We also considered different
types of rings for each ring-size. For the reasons outlined above,
the orientation of the pyrene units in the ring lead to structurally
different rings. The long sides (i.e., 1–8 or 3–6) and
short sides (i.e., 1–3 or 6–8) of the pyrene units give
rise to L(ong) and S(hort) edges, respectively. These L and S edges
can combine into rings made of either just one type of edge (A) or
a combination of both types of edges (B). Henceforth, we label such
rings by the number of pyrene units in the ring, followed by the orientation
of the edges. For example, the two possible A-type rings formed from
four pyrene units are labeled 4LLLL and 4SSSS, respectively, while
an example of a possible B-type ring is 4LSLS (see also Figure 3). Because every pyrene unit has two L and two S
sides, a mixture of different ring configurations is always expected
to occur in the extended material.
Figure 3
DFT-optimized lowest energy configurations
of 4LLLL, 4SSSS and
4LSLS rings (atoms represented as blue spheres indicate where the
rings would connect to the rest of the amorphous pyrene network in
the pyrene CMP/ECMP).
DFT-optimized lowest energy configurations
of 4LLLL, 4SSSS and
4LSLS rings (atoms represented as blue spheres indicate where the
rings would connect to the rest of the amorphous pyrene network in
the pyreneCMP/ECMP).We also considered a number of distinct conformers for the
4- and
5-rings (typically 2 or 3, distinguished from each other by a superscript
number at the end of the ring label: that is, 4LLLL1 for
the lowest energy, or first, conformer of the 4LLLL ring, 4LLLL2 for the second most stable, etc. This was done to sample
the possible conformations rings could have when they form part of
an extended framework. Competing bonding requirements make it unlikely
that in an extended material all rings would be in their lowest energy
conformation. Figure 4 shows the 4SSSS2 and 4SSSS3 conformers (4SSSS1 is shown
in Figure 3) and illustrates that the difference
between different conformers lies in the relative orientation of the
different pyrene units (e.g relative to the plane of the ring up–down–up–down
for 4SSSS1, flat-down-flat-up for 4SSSS2 and
flat-up–down–down for 4SSSS3).
Figure 4
DFT-optimized
lowest energy configurations of the 4SSSS2 and 4SSSS3 conformers (4SSSS1 shown in Figure 3).
DFT-optimized
lowest energy configurations of the 4SSSS2 and 4SSSS3 conformers (4SSSS1 shown in Figure 3).All values
are in eV and, as
discussed in the text, rigidly shifted downwards by 0.5 eV. For all
4- and 5-ring chromophores, the observed spread in excitation energies
for the different conformers is presented with the value for the lowest
energy conformer in bold. For the linear polymers and dendrimers,
the position of likely (lower intensity) shoulder peaks is given in
parentheses.Table 1 summarizes our predictions for the
location of the fluorescence and the first absorption peaks for the
different rings (see Table S2 in section ESI-5 (Supporting Information) for the unshifted energies). Focusing
first on the lowest energy conformers of each ring type, we observe
that the lowest absorption and fluorescence peak of the 3SSS and 3LLL
rings lie at significantly lower energy (and hence longer wavelength)
than those predicted for the different linear polymer and dendrimer
cluster models. In the case of the other ring types, the position
of the lowest absorption and fluorescence peak is, however, generally
very similar to those predicted for the structurally related polymers
(i.e., the 1,3-linear polymer for the pure S rings and the 1,8-linear
polymer for the pure L rings). That said, the energy of the lowest
absorption peak is always slightly lower than that of the corresponding
linear oligomer of the same length (i.e., 4SSSS vs the 1,3-coupled
tetramer, see Figure S9 in section ESI-4, Supporting
Information). The only exception is the lowest absorption peak
(but not fluorescence peak) of the 5SSSSS ring, which is red-shifted
by 0.4 eV compared with both the 1,3-coupled linear pentamer and the
1,3-linear polymer. Surprisingly, the lowest energy conformers of
most rings built from more than three pyrene units thus show generally
only minor evidence of ring-strain in their spectra. The higher energy
conformers of the rings (lying ∼20–60 kJ/(mol pyrene)
higher in energy), however, show a different picture. For these conformers,
the position of the first absorption and fluorescence peaks are significantly
red-shifted compared with the linear polymer and dendrimers. More
specifically, for each ring-size, we found that the more strained
the conformer—that is, the higher its energy with respect to
the lowest energy conformer—the lower in energy and higher
in wavelength the fluorescence peak and first absorption peak are
predicted to lie. Clearly, then, the presence of such strained rings
could give rise to a red shift in both the fluorescence and absorption
spectra of CMP and ECMP networks.For the CMP network specifically,
the measured fluorescence spectrum
fits well with the fluorescence energies predicted for the more strained
4- and 5-rings, and suggests that such rings might be the chromophores
responsible for the large red shift in the CMP fluorescence. Regarding
the absorption spectrum, this again will be a convolution of the absorption
spectra of a range of different chromophores. In principle, the red
shift and broadening of the CMP absorption spectrum could be explained
by a combination of different ring-sizes, configurations, and conformations
as present in an amorphous network. We propose that the bulk of the
rings would be moderately strained 4-, 5-, and 6-rings, and that these
chromphores are responsible for the shift of the first absorption
maximum to 3.0 eV (310 nm). A smaller fraction of more strained rings
could account for the chromophores responsible for broadening the
CMP absorption spectrum to even longer wavelengths, the most strained
of which would be the strained 4- and 5-ring chromophores responsible
for the fluorescence. In line with this evidence of rings in CMPs,
energetic estimates (discussed in the Supporting
Information, section ESI-6) suggest that the formation of rings,
even small or strained ones, is energetically feasible during the
kinetically driven CMP synthesis which involves irreversible bond-formation,
especially when one takes into account that some of the polycondensation
might take place after phase separation within the porous, precipitated
network phase. Overall, we thus believe that a structural model of
the CMP should contain the above-described rings (and indeed our previous
preliminary model of the pyreneCMP contained rings[4]).The likely microscopic link between strain and
the spectroscopic
red shift are the pyrene–pyrene torsion angles. Smaller torsion
angles—that is, flatter structures—are expected to result
in increased overlap between the π-systems on adjacent pyrene
units and hence enhanced conjugation, which would explain, for example,
the observed red shift in the absorption energies. Indeed we find
that the strained rings that display a large red shift have considerably
smaller average torsion angles than those of their chain counterparts;
e.g., 42° for 3LLL1 and 46° for 4SSSS2 compared with ∼70° for long 1,3- and 1.8-linear chains.
Likewise, those rings that have a similar absorption on-set as the
linear-polymers also have average torsion angle comparable to that
of linear chains; e.g., 67° for 4SSSS1. See Supporting Information, section ESI-5, for more
information about the torsion angle distributions of the rings. Small
torsion angles, in the absence of rings, could also result in a significant
red shift (at least in the case of the absorption spectrum, see for
example data for linear chains in Figure S10 in section ESI-7 of the Supporting Information). However, it is difficult
to envisage where the strain required for the formation of these small
torsion angles should originate from, if not from the presence of
rings.A comparison of the data in Table 1 and
the experimental fluorescence spectrum of the pyreneCMP in Figure 1 suggests that fluorescence occurs from only the
most strained subset of chromophores and not from the less strained
chromophores (though there might be a shoulder at 540 nm, 2.8 eV),
despite the fact the less strained chromophores do appear to contribute
to the absorption spectrum. Our calculations, discussed in more detail
in the Supporting Information (section
ESI-8), suggest that this might be because an excited ring-based system
can lower its energy significantly by moving the excited state from
larger rings to smaller rings (e.g., 5LLLLL* + 4LLLL → 5LLLLL
+ 4LLLL*, where the asterisk denotes the ring upon which the excited
state is localized) and, for a given ring-size, from a less strained
conformer to a more strained conformer (e.g., 4LLLL1* +
4LLLL2 → 4LLLL1 + 4LLLL2*).
Assuming that excited state transport is generally fast relative to
excited state relaxation, then excited state relaxation and fluorescence
would indeed only occur at the most strained chromophores in the material,
even though all chromophores to some extent contribute to absorption.
The possible shoulder at 540 nm (in the range where fluorescence is
predicted to occur from unstrained 4SSSS- and 6SSSSSS/LLLLLL-rings)
might then be indicative of those cases where excited state transport
is too slow and/or strained rings too far away from the absorption
chromophore for the excited state to reach the most strained ring
before fluorescence. In this scenario, the appearance of multiple
fluorescence peaks or shoulders could potentially be a marker for
material heterogeneity (e.g., the spatial distribution of small rings
or linear fragments, see below, over the bulk of the material).For the ECMP, the measured fluorescence spectrum matches the fluorescence
energies predicted for moderately strained 4SSSS and 4LSLS rings (configurations
by definition including short edges, see Figure 3, in-line with the fact that the bifunctional 1,3-pyrene
units, by definition, will be incorporated “short” in any ring that is formed. Thus, perhaps counterintuitively,
expanding the CMP by inserting bifunctional units between the tetrafunctional
units does not seems to lead to an apparent change in the size of
the smallest ring in the network, but only the degree of strain that
these small rings are under. The lower strain could be either (i)
the direct result of having bifunctional units in the ring that are
relatively free to move, since they do not form part of any other
rings, or (ii) an environmental effect due to other rings surrounding
the small ring being larger than in the related CMP. The fact that
no shift in the size of the smallest ring is observed fits with the
idea that the pyreneECMP and CMP are kinetic and not thermodynamic
products.A similar shift in the fluorescence spectrum, as for
the ECMP,
is also observed for the closely related soluble pyrene SCMP material.
Interpretation of spectra for SCMP is considerably more difficult
because SCMP is a statistical copolymer of tetrafunctional and bifunctional
units, and hence the material can contain fragments of tetrafunctional
units linked to tetrafunctional units as well as bifunctional units
linked to bifunctional units. The presence of the latter ‘chains’
could be an explantion to why the SCMP, in contrast, to ECMP is soluble
in common organic solvents. The spectral similarities between both
materials suggest that moderately strained 4- and 5-rings also exist
in SCMP, and that they are the chromophore responsible for the SCMP
fluorescence. The excess in fluorescence of SCMP relative to ECMP
in the ∼450–480 nm range, coincident with the measured
and predicted fluorescence maxima of the 1,3-linear pyrene polymer,
might be the fingerprint of linear-chain rich, unbranched domains,
that are absent, as discussed above, in the strictly alternating ECMP.
The occurrence of this fluorescence excess also suggests that the
chain-rich domains are large enough that at least some of the excitations
originally generated there do not diffuse to more strained chromophores
before radiative de-excitation to the ground state. Finally, a slight
fluorescence excess at long wavelengths, at least for the precipitated
SCMP sample (λflu > 550 nm) might also suggests
the
possible presence of SCMP-1 domains rich in tetrafunctional units
(i.e., CMP-like domains).On the basis of the above analysis,
the absorption and fluorescence
spectra of CMPs and related polymers should in principle be able to
be engineered by the incorporation of different sizes of rings or
rings with different degrees of strain. The ECMP and SCMP are examples
of how expanding rings/reducing strain by incorporating bifunctional
monomers allows one to blue shift the absorption and fluorescence
spectra. This analysis is also in-line with the blue-shift observed
between the pyreneCMP network and the ordered alternating 1:2 copolymer
of tetrafunctional 1,3,6,8-tetrabromopyrene and bifunctional 1,4-benzene
diboronic acid.[4] Copolymers with other
ratios than 1:2 might yield intermediate blue-shifted spectra as long
as the bifunctional monomer is homogenously incorporated in the CMP.
We have presented examples here for pyrene-based materials, but we
believe that these general principles should hold for a much broader
class of polymer network materials. Finally, a combination of the
approach developed here with the Polymatic tool for building structural
models of (amorphous) polymers[43] of Colina
and co-workers could in the future lead to improved structural models
of CMPs and related materials. Here the optical spectra of the material
would be another constraint for the structural model to fulfill, just
as the material’s surface area, pore-volume etc.
Conclusions
A combination of theoretical and experimental spectroscopy provides
an unrivalled insight into the atomic structure of porous conjugated
polymers, where hitherto structures have been largely a matter of
speculation and hypothesis. Specifically, we show that, in the case
of an insoluble pyreneCMP network, the significant red shift in its
absorption and fluorescence spectra relative to related pyrene-based
materials can be rationalized by the presence of strained rings in
a network structure. The incorporation of strained rings can, in principle,
be exploited to tune the absorption and fluorescence spectra of a
polymer, and hence optimize this for potential applications such as
photocatalysis and photovoltaics. Certainly, these structural effects
will be central in strategies which seek to control photophysical
properties in porous organic polymers by “band gap engineering”.[4]
Authors: Jian Tian; Praveen K Thallapally; Scott J Dalgarno; Peter B McGrail; Jerry L Atwood Journal: Angew Chem Int Ed Engl Date: 2009 Impact factor: 15.336
Authors: Teresa M Figueira-Duarte; Sascha C Simon; Manfred Wagner; Sergey I Druzhinin; Klaas A Zachariasse; Klaus Müllen Journal: Angew Chem Int Ed Engl Date: 2008 Impact factor: 15.336
Authors: Teresa M Figueira-Duarte; Pablo G Del Rosso; Roman Trattnig; Stefan Sax; Emil J W List; Klaus Müllen Journal: Adv Mater Date: 2010-03-05 Impact factor: 30.849
Authors: Lauren J Abbott; Amanda G McDermott; Annalaura Del Regno; Rupert G D Taylor; C Grazia Bezzu; Kadhum J Msayib; Neil B McKeown; Flor R Siperstein; James Runt; Coray M Colina Journal: J Phys Chem B Date: 2012-12-24 Impact factor: 2.991