Giulia E M Schukraft1, Ioanna Itskou1, Robert T Woodward2, Bart Van Der Linden3, Camille Petit1, Atsushi Urakawa3. 1. Barrer Centre, Department of Chemical Engineering, South Kensington Campus, Imperial College London, London SW7 2AZ, U.K. 2. Institute of Materials Chemistry and Research, Faculty of Chemistry, University of Vienna, Währinger Straße 42, 1090 Vienna, Austria. 3. Catalysis Engineering, Department of Chemical Engineering, Delft University of Technology, Van der Maasweg 9, 2629 HZ Delft, The Netherlands.
Abstract
Numerous hyper-cross-linked polymers (HCPs) have been developed as CO2 adsorbents and photocatalysts. Yet, little is known of the CO2 and H2O adsorption mechanisms on amorphous porous polymers. Gaining a better understanding of these mechanisms and determining the adsorption sites are key to the rational design of improved adsorbents and photocatalysts. Herein, we present a unique approach that combines density functional theory (DFT), in situ diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS), and multivariate spectral analysis to investigate CO2 and H2O adsorption sites on a triazine-biphenyl HCP. We found that CO2 and H2O adsorb on the same HCP sites albeit with different adsorption strengths. The primary amines of the triazines were identified as favoring strong CO2 binding interactions. Given the potential use of HCPs for CO2 photoreduction, we also investigated CO2 and H2O adsorption under transient light irradiation. Under irradiation, we observed partial CO2 and H2O desorption and a redistribution of interactions between the H2O and CO2 molecules that remain adsorbed at HCP adsorption sites.
Numerous hyper-cross-linked polymers (HCPs) have been developed as CO2 adsorbents and photocatalysts. Yet, little is known of the CO2 and H2O adsorption mechanisms on amorphous porous polymers. Gaining a better understanding of these mechanisms and determining the adsorption sites are key to the rational design of improved adsorbents and photocatalysts. Herein, we present a unique approach that combines density functional theory (DFT), in situ diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS), and multivariate spectral analysis to investigate CO2 and H2O adsorption sites on a triazine-biphenyl HCP. We found that CO2 and H2O adsorb on the same HCP sites albeit with different adsorption strengths. The primary amines of the triazines were identified as favoring strong CO2 binding interactions. Given the potential use of HCPs for CO2 photoreduction, we also investigated CO2 and H2O adsorption under transient light irradiation. Under irradiation, we observed partial CO2 and H2O desorption and a redistribution of interactions between the H2O and CO2 molecules that remain adsorbed at HCP adsorption sites.
Hyper-cross-linked polymers
(HCPs) are a class of amorphous porous
material built via the dense cross-linking of organic building blocks.[1] The ability to “knit” together
an extensive set of aromatic compounds without the need for specific
polymerizable groups enables a wide structural and chemical diversity.
HCPs exhibit a permanent porosity and high surface area, and their
synthesis is straightforward, requiring only common Lewis acid catalysts
to initiate polymerization, such as Fe(III) chloride and Al(III) chloride,
or organic Brønsted acids.[2,3] This simplicity and
potential for scale-up explain the scientific interest around these
materials. In fact, some HCPs are already commercially available (e.g.,
ion-exchange polymeric resins) while others are being developed and
tailored for different applications related to gas separation/storage,[4−6] liquid phase adsorption,[7,8] and catalytic organic
transformations.[9−12] In particular, HCPs have recently been investigated for CO2 capture[6,7,13−18] and CO2 photoconversion to value-added chemicals.[19,20] Martin et al. reported a biphenyl–xylene HCP with CO2 uptake capacity of 1.7 and 13.4 mmol g–1 under atmospheric pressure and 30 bar, respectively, exceeding that
of commercial adsorbents like zeolite 13X and activated carbons BPL
and Norit R under similar conditions.[13] Su et al. studied an amine-functionalized HCP that displayed selective
CO2 uptake over N2, a feature they attributed
to the high density of primary amines and the relatively small pore
size of the material.[7] Beyond CO2 capture, the use of HCPs as photocatalysts for CO2 reduction
is also emerging. Wang et al. reported a HCP–TiO2–graphene composite for photocatalytic CO2 reduction,
with the HCP component facilitating CO2 adsorption and
diffusion.[20] However, the ability of HCPs
alone to catalyze solar fuel production has remained unknown until
recently, when we have demonstrated their activity for CO2 photoreduction using water vapor as sacrificial agent.[19] A triazine–biphenyl-based HCP synthesized
via a Friedel–Crafts alkylation reaction has showed a CO2 photoconversion rate comparable to that of TiO2 P25.In both CO2 capture and CO2 catalytic
conversion,
CO2 and H2O adsorptions represent critical steps
that one could a priori control to optimize gas diffusion, adsorption,
CO2 reaction/activation, and product selectivity. Such
control relies on understanding adsorption mechanisms and thermodynamics.
As demonstrated on other materials such as zeolites,[14,21] nonporous linear polymers,[22] alumina,[23,24] TiO2,[25,26] and other metal oxides,[27] in situ infrared spectroscopy can provide useful
insights into adsorption and photoconversion mechanisms. For example,
Wilfrong et al. investigated CO2 adsorption and mass transfer
across a tetraethylenepentamine film using in situ diffuse reflectance
infrared Fourier transform spectroscopy (DRIFTS) and in situ attenuated
total reflection infrared spectroscopy (ATR-IRS) measurements.[22] In photocatalysis applications, in situ IR techniques
can also provide insights into the CO2 adsorption mechanisms
and the nature of the active sites. Mino et al. studied CO2 adsorption on different facets of TiO2 anatase.[25] By combining DFT and in situ ATR-IRS, they revealed
that CO2 weakly interacted with the (101) surface and adsorbed
without bending, while on the (001) surface, CO2 adsorbed
in the form of carbonates. Studying CO2 adsorption under
transient irradiation using in situ FTIR spectroscopy can also lead
to a better understanding of product selectivity. Ordoño et
al. explored how Pt and Co cocatalysts impacted the product selectivity
of TiO2 in CO2 photoreduction using H2O as sacrificial agent.[26] Time-resolved
in situ DRIFTS helped identify surface formates as active intermediate
species when using Pt or Co as cocatalysts.As these studies
show, in situ infrared spectroscopy can provide
useful insights into CO2 adsorption and photoconversion
mechanisms. To date, there is limited understanding of CO2 and H2O adsorption mechanisms on amorphous porous polymers
such as HCPs, which prevents the rational design of optimized HCP
adsorbents and photocatalysts for CO2 management. Yet,
the use of IR to study CO2 adsorption mechanisms on HCPs,
while attractive, is not without challenges. For instance, the organic
nature of HCPs means that many of the relevant IR absorption bands
of the polymers and CO2 may overlap.Herein, we present
a unique approach that combines DFT, in situ
DRIFTS, and multivariate spectral analysis to investigate CO2 and H2O adsorption on a triazine–biphenyl HCP
(being the best performing catalyst in our previous CO2 photoreduction study).[19] The presence
of triazine groups enabled us to investigate the role of a nitrogen-rich
functional group on CO2 and H2O adsorption.
We first assigned the HCP vibrational bands and then identified the
HCP vibrational fingerprints involved in intermolecular interactions
with CO2 and H2O. We found that CO2 and H2O adsorb at the same HCP sites albeit with different
adsorption strengths, which led to different desorption patterns upon
either heating or light irradiation. Finally, our DRIFTS analysis
enabled us to confirm the network formation mechanism of the triazine–biphenyl
HCP.
Methodology
Experimental Section
All reagents
used in this study were of analytical grade and used without further
purification. 2,4-Diamino-6-phenyl-1,3,5-traizine (CAS # 91-76-6),
triflic acid (CAS # 1493-13-6), 1,2-dichloroethane (CAS # 107-06-2),
and ethanol (CAS # 64-17-5) were purchased from Sigma-Aldrich, while
4,4-bis(methoxymethyl)biphenyl (CAS # 3753-18-2) was purchased
from TCI Chemicals. 12CO2 (grade 4.0, >99.99%),
N2 (grade 5.0, >99.999%), and He (grade 5.0, >99.999%)
were purchased from Linde Gas Benelux. 13CO2 (99.0 at. % 13C) was purchased from Aldrich.
Hyper-Cross-Linked Polymer Synthesis
Triazine–Biphenyl HCP
1.2 g of 4,4-bis(methoxymethyl)biphenyl
and 0.46 g of 2,4-diamino-6-phenyl-1,3,5-traizine were dissolved in
18 mL of 1,2-dichloroethane. 0.98 mL of triflic acid was then added
dropwise while stirring. The mixture was kept under stirring at 90
°C for an additional 18 h. The resulting polymer was recovered
and washed via Soxhlet extraction with 150 mL of ethanol for 24 h,
followed by 150 mL of 1,2-dichloroethane for 48 h. The polymer was
then dried under vacuum at 150 °C and finely ground. In this
study, we refer to 4,4-bis(methoxymethyl)biphenyl as a biphenyl
monomer and 2,4-diamino-6-phenyl-1,3,5-traizine as a triazine monomer.
Triazine Solution Preparation
15
mg of triazine monomer was dissolved in 1 mL of THF to form an 80
nM triazine solution. The solution was then sonicated for 30 s at
25 °C.
Hyper-Cross-Linked Polymer Characterization
Textural, Structural, and Morphological Properties
Powder X-ray diffraction (PXRD) measurements were performed at room
temperature on a Bruker 2D PHASE diffractometer operating at 30 kV
and 10 mA with monochromatized Cu Kα radiation (λ = 0.15418
nm). The morphology of the sample was studied using a scanning electron
microscope (SEM) (Leo Gemini 1525, Zeiss) in secondary electron mode
(InLens detector) at 5 kV. The sample was ground and deposited on
carbon tape. To reduce charging, the sample was coated with 17 nm
of chromium. Nitrogen sorption isotherms were collected using a Micromeritics
3Flex volumetric sorption analyzer at −196 °C. Prior to
analysis, all samples were degassed overnight at 150 °C at around
0.2 mbar. An additional in situ degas step of 4 h was performed at
0.003 mbar and 150 °C. The surface area and the micropore volume
(VMICRO) were calculated using the Brunauer–Emmett–Teller
(BET) and DeBoer t-plot theory, respectively.[28,29] The total pore volume (VTOT) was calculated
at P/P0 = 0.99. The pore
size distribution was derived from a DFT carbon split shape model
built into the Micromeritics software.
Chemical Properties
Thermogravimetric analyses (TGA)
were performed using a Netzsch TG209 F1 Libra thermogravimetric analyzer.
Around 15 mg of sample was heated to 900 °C under N2 or air with a temperature ramp of 10 °C min–1. An initial isothermal step of 1 h was performed at 120 °C
under a N2 or air atmosphere to remove any adsorbates.
A total flow rate of 100 mL min–1 was used. Solid-state 13C NMR analyses were conducted on a Bruker 600 MHz AVANCE
III HD spectrometer. Around 20 mg of sample was packed into a 3.2
mm zirconia rotor. The spinning was set at 14 kHz with a relaxation
delay of 4 s. A total of 2028 scans were collected. Inductively coupled
plasma optical emission spectroscopy (ICP-EOS) measurements were then
conducted to determine the Fe content. These analyses were performed
by MEDAC Ltd. 25 mg of sample was digested using sulfuric and perchloric
acid. Elemental analysis was performed on a Eurovector EA 3000 CHNS-O
elemental analyzer. A micro-Sartorius ME 5 OCE balance was used to
weigh around 0.5 mg of sample. To ensure accuracy, duplicate tests
were performed. Combustion and reduction were performed at 1000 °C
(1480 °C for O analysis) and 750 °C, respectively. High-purity
helium (>99.999%) was used as a carrier gas. X-ray photoelectron
spectroscopy
(XPS) measurements were performed on a Thermo Scientific K-Alpha+
X-ray photoelectron spectrometer. The instrument is equipped with
a MXR3 Al Kα monochromated X-ray source (hν
= 1486.6 eV). The X-ray gun power was set to 72 W (6 mA and 12 kV).
Prior to analysis, the triazine–biphenyl HCP was ground and
deposited on the XPS holder using a conductive carbon tape. Data analysis
was performed using the Thermo Avantage software. All the samples
were referenced against the C–C peak of adventitious carbon
in the C 1s spectrum at a binding energy of 284.8 eV.
Optoelectronics Properties
Diffuse reflectance ultraviolet–visible
(DR-UV/vis) spectra were obtained using a Shimadzu UV-2600 spectrometer
equipped with an integrating sphere. The absorption spectra were derived
using the Kubelka–Munk function.[30,31]
Gas Adsorption Properties
CO2 and water
vapor sorption isotherms were collected at 25 and 50 °C using
a Micromeritics 3Flex volumetric gas sorption analyzer. Sample were
degassed overnight at 150 °C at around 0.2 mbar and again in
situ at 150 °C and 0.003 mbar for 4 h. For water vapor sorption
measurements, the sorption analyzer was equipped with a liquid container
filled up with Milli-Q water with a resistance of >18.2 μohm.
Prior to analysis, the Milli-Q water was purified through four freeze–pump–thaw
cycles. For CO2 sorption measurements, a research grade
(99.999%) CO2 gas cylinder was used.
Infrared Spectroscopy Characterization
ATR-FTIR measurements
were performed on a NEXUS from Thermo Nicolet instrument equipped
with a liquid N2 cooled MCT detector. A total of 220 scans
were collected. In situ DRIFTS measurements were performed on a Nicolet
8700 Thermo Scientific FTIR instrument equipped with a liquid N2 cooled MCT detector. A Praying Mantis optical accessory from
Harrick was used. The optical accessory included a high-temperature
and low-pressure Harrick cell and a series of optical mirrors to collect
the refracted IR beam. The in situ cell was made of three windows:
two IR transparent windows made of BaF2 and one window
made of fused silica for UV–vis irradiation. A thermocouple
was used to control the temperature inside the cell. Prior to the
analysis, a few milligrams of the sample was loaded inside the cell
and heated at 150 °C for 18 h under He flow (30 mL min–1). When needed, the temperature was then lowered to 50 or 100 °C.
CO2 adsorption measurements were performed by alternatively
passing CO2 and He through the setup. At first, the atmosphere
was switched to a CO2/He flow of 6.6 mL min–1 with a 2:1 ratio for 50 min and then switched to a He flow of 30
mL min–1 for another 50 min. Two CO2/He–He
cycles were performed. Prior to passing any CO2 through
the DRIFTS cell, a DRIFT spectrum of the HCP was acquired under a
He atmosphere and used as background spectrum for the subsequent experiments.
For H2O adsorption measurements, water-saturated He and
He were alternately passed through the DRIFTS cell. At first, the
atmosphere was switched to a water-saturated He stream of 6.6 mL min–1 for 50 min and switched to a He flow of 30 mL min–1 for 50 min. Two water-saturated He–He cycles
were performed. Prior to passing any water vapor through the DRIFTS
cell, a DRIFT spectrum of the HCP was acquired under a He atmosphere
and used as background spectrum for the subsequent experiments. For
transient irradiation experiments, a SwiftCure PLU-10 lamp equipped
with an optical fiber and a high-pressure Hg lamp (250 W) was used.
The sample was exposed to a CO2/water-saturated He atmosphere
(1.5 vol/vol ratio) for 1 h without light irradiation. The UV–vis
lamp was then turned on for 3 h, and only afterward transient irradiation
was undertaken for an additional 3 h. During transient irradiation,
the light was turned on and off every 5 min. For all DRIFTS measurements,
scans were collected every 12 s. An optical velocity of 1.8988 cm
s–1 was used. Spectra were recorded in single beam
mode. For isotopic DRIFTS measurements, a similar procedure to that
described above was used. The HCP under investigation was exposed
to a water-saturated 13CO2 atmosphere instead
of a water-saturated 12CO2 atmosphere and then
irradiated with UV–vis light. We note that swelling and any
related change in the refractive index of the HCP upon gas adsorption
would affect the intensity of the IR signal but not the band position.
Computational Section
All DFT calculations
were performed with B3PW91 functional using Gaussian 09. For the geometry
optimization and calculation of infrared spectra of one triazine and
one biphenyl molecule, the 6-311G(2d,2p) basis set was used. All calculations
were performed in vacuo. For the calculation of the six triazine molecular
cluster, an initial geometry optimization was performed using the
PM3 semiempirical method followed by the DFT calculation with the
3-21 basis set. The output file was then further optimized using the
6-311G(2d,2p) basis set. To compare the simulated infrared spectra
with the experimental ones, an empirically determined scaling factor
of 0.973 was used for the triazine molecules, while a scaling factor
of 0.970 was used for the biphenyl molecules.The data obtained
by time-resolved DRIFTS were processed by multivariate spectral analysis,
specifically multivariate curve resolution (MCR) analysis.[32−34] This approach allowed us to extract the kinetically pure spectra
of the vibrational bands involved in CO2 or H2O adsorption as well as the corresponding concentration profiles.
When performing MCR, the number of components was determined to be
6 and 7 for CO2 and H2O adsorption measurements,
respectively. For transient irradiation measurements, the number of
components used was 10 based on principal component spectral analysis,
their spectral features, and quality of spectral separation. For all
MCR analysis, a pure variable detection method was used as initial
estimation. A non-negativity constraint and a convergence criterion
of 0.1 were also applied. We note that among the extracted MCR components
only the spectrally significant ones are shown in this study.
Results and Discussion
Hyper-Cross-Linked Polymer Characterization
We synthesized a triazine–biphenyl HCP via the cross-linking
of 4,4-bis(methoxymethyl)biphenyl and 2,4-diamino-6-phenyl-1,3,5-triazine,
subsequently termed biphenyl and triazine monomers, respectively.
Triflic acid was used as the polymerization catalyst. Figure a illustrates the reaction
scheme and the structure of the studied HCP. The photographic and
scanning electron images of the polymer reveal a light brown material
constituted of agglomerated particles of around 40 nm in diameter
(Figure S1).
Figure 1
Overview of the chemical
features and sorption properties of the
triazine–biphenyl HCP sample: (a) synthesis reaction scheme
(inset shows a photograph of the polymer); (b) CO2 and
(c) H2O sorption isotherms at 25 and 50 °C of the
studied triazine–biphenyl HCP. Filled symbols = adsorption;
empty symbols = desorption.
Overview of the chemical
features and sorption properties of the
triazine–biphenyl HCP sample: (a) synthesis reaction scheme
(inset shows a photograph of the polymer); (b) CO2 and
(c) H2O sorption isotherms at 25 and 50 °C of the
studied triazine–biphenyl HCP. Filled symbols = adsorption;
empty symbols = desorption.We confirmed the synthesis of the HCP sample and
analyzed its chemical,
structural, and optoelectronic features using ssNMR, elemental analysis,
X-ray photoelectron spectroscopy, N2 sorption at −196
°C, XRD, and UV–vis diffuse reflectance spectroscopy (Figures S1 and S2, Table S1). The HCP sample contains 0.62 at. % N, corresponding to
a 1:31 triazine to biphenyl monomer ratio, and 1.1 at. % O, which
suggests the presence of methoxy groups arising from partially cross-linked
biphenyl molecules. It has a BET surface area of 1247 m2 g–1 and exhibits a type IV N2 sorption
isotherm and a multimodal pore size distribution with predominance
of micropores and mesopores (Figure S3, Table S2). Powder X-ray diffraction confirmed
the amorphous nature of the HCP network (Figure S4). The sample adsorbs light in both the UV and visible regions
of the spectrum with an absorption offset at 351 nm (Figure S1d). Finally, we assessed its thermal stability using
thermogravimetric analysis and confirmed thermal stability up to 250
°C in both N2 and air (Figure S5).
Hyper-Cross-Linked Polymer Sorption Properties
Having evaluated the chemical, structural, and light absorption
properties of the triazine–biphenyl HCP, we next investigated
the sorption at 25 and 50 °C of CO2 and H2O—two species present in the CO2 capture and CO2 photoreduction processes. The former temperature facilitates
comparison with published literature while the latter corresponds
to the temperature at which we performed CO2 photoreduction
measurements.As Figure b shows, the HCP sample displays CO2 uptake capacities
at 1 bar and at 25 and 50 °C of 1.38 and 0.70 mmol g–1, respectively. To provide some perspective, zeolite 13X, a benchmark
CO2 adsorbent, exhibits a CO2 uptake capacity
of ∼4 mmol g–1 at 1 bar and 25 °C.[35] Compared to other HCPs, the studied HCP displays
relatively similar adsorption capacities (Table S3).[7,13]With regard to H2O sorption, at 23 mbar and at 25 and
50 °C, the studied HCP displays a low H2O uptake capacity
of 1.5 and 0.17 mmol g–1, respectively (Figure c, to be compared
to 16.7 mmol.g–1 at 25 °C and 23 mbar for zeolite
13X).[36] Despite a higher surface area,
the HCP studied here adsorbs considerably less H2O compared
to a previously investigated benzene-based hyper-cross-linked polymer,
which displayed a surface of 931 m2 g–1 and a H2O uptake capacity of 9.4 mmol g–1 at 25 °C.[19] The relatively low H2O uptake capacities of the triazine-biphenyl HCP likely results
from the low oxygen content, i.e., 1.1 at. % O compared to 5.9 at.
% O for the benzene-based HCP.
Vibrational Analysis and Band Assignment
Having evaluated the sorption properties of HCP, we next explored
how CO2 and H2O adsorb on the HCP surface using
infrared spectroscopy. To identify the HCP vibrational fingerprints
involved in intermolecular interactions with CO2 and H2O, one must assign the HCP’s vibrational bands. In
theory, one could use the computed infrared spectra of a single triazine
and biphenyl molecule and compare them with the measured infrared
spectrum of the HCP. However, because of the complex interactions
between monomer molecules after polymerization, the experimental HCP
infrared spectrum will differ from the simulated ones. Hence, to achieve
a precise band assignment, we must understand how intermolecular interactions
impact the infrared spectrum of a triazine molecule and that of a
biphenyl molecule, i.e., bands shifts, band broadening, and the appearance
of new vibrational bands. A detailed description of our assignment
approach and the resulting band assignment can be found in the Supporting Information (Section 2, Tables S4–S6,
Figures S6 and S7).
Vibrational Band Analysis during CO2 Adsorption
Having assigned the HCP vibrational bands, we
next evaluated those involved in CO2 adsorption to identify
the CO2 adsorption sites. To do this, we conducted time-resolved
in situ DRIFTS measurements by alternatingly passing CO2 and He through the DRIFTS cell. We performed two CO2–He
cycles for each temperature studied (50, 100, and 150 °C). Prior
to passing CO2 through the DRIFTS cell, we collected the
DRIFT spectrum of the HCP under He and used it as background spectrum.
As Figure a shows,
under CO2 at 50 °C, the obtained difference spectra
display negative and positive bands, while under He, these spectral
features are not visible (Figure b).
Figure 2
Representation of the spectral components obtained upon
processing
the difference spectrum using multivariate curve resolution (MCR).
(a) The represented difference spectrum corresponds to the average
of the difference spectra acquired under a CO2 atmosphere
at 50 °C. (b) The represented difference spectrum corresponds
to the average of the difference spectra acquired under a He atmosphere
at 50 °C.
Representation of the spectral components obtained upon
processing
the difference spectrum using multivariate curve resolution (MCR).
(a) The represented difference spectrum corresponds to the average
of the difference spectra acquired under a CO2 atmosphere
at 50 °C. (b) The represented difference spectrum corresponds
to the average of the difference spectra acquired under a He atmosphere
at 50 °C.To understand the origin of these positive and
negative bands,
one must remember that the analyzed data are obtained by subtracting
the background spectrum (i.e., HCP spectrum in the absence of CO2) from the HCP spectrum acquired under a CO2 atmosphere.
If the background spectrum exhibits spectral features that are absent
in the spectrum under a CO2 atmosphere, negative bands
emerge due to the subtraction. Conversely, if the spectrum obtained
under a CO2 atmosphere exhibits spectral features absent
in the background spectrum, positive bands emerge. Importantly in
infrared spectroscopy, the concomitance of negative and positive bands
in a difference spectrum is often the result of band shifts. As Figure S9 illustrates, when the vibrational band
of a material shifts compared to the background spectrum, the difference
spectrum displays a negative band at the original band position and
a positive band at the new band location. The relative positions of
the negative and positive bands in the difference spectrum enable
to determine the direction of the band shift. If negative bands precede
positives ones (left to right; higher to lower wavenumbers), it indicates
that the vibrational bands are shifting toward lower wavenumbers (Figure S9a). Conversely, if positive bands precede
negative ones, it indicates that the vibrational bands are shifting
toward higher wavenumbers (Figure S9b).
In this study, as shown by the difference spectra in Figures a and S10, under CO2, negative bands precede positive
bands, indicating that some of the HCP vibrational bands shifted toward
lower wavenumbers. This red-shift results from CO2 adsorption
on the HCP surface. Yet, the complexity of the obtained difference
spectrum prevents a precise identification of the HCP vibrational
bands that are red-shifted.To address this challenge, one can
process and disentangle the
differences in the spectra using multivariate curve resolution (MCR).
MCR is a mathematical method that extracts the individual sources
of variations present in a signal.[37] When
applied to time-resolved DRIFTS, MCR can extract kinetic behaviors.
It identifies the vibrational bands’ kinetics, i.e., the speed
at which bands shift or appear or disappear. On the basis of the vibrational
bands’ kinetics, MCR separates them into kinetically pure spectral
components. Vibrational bands that have identical kinetic behaviors,
i.e., (dis)appearing at the same time, are associated with the same
component. The relative intensity of those kinetically pure components
to the global signal are also determined and are termed a concentration
profile. When processing the data using MCR in this study, a non-negativity
constraint is applied; i.e., vibrational bands cannot be negative.
As Figure a illustrates,
this constraint converts the negative spectral features of the difference
spectrum into positive ones and describes their “negative”
intensity by assigning them negative concentrations. After applying
the non-negativity constraint, negative and positive spectral features
respectively exhibit negative and positive concentration profiles,
thereby behaving kinetically differently. Hence, MCR separates them
into two different components (Figure ). The first component represented in red (Figure a) corresponds to
the positive spectral features of the difference spectra and the second
component in blue (Figure b) to the negative ones.
Figure 3
DRIFTS study of CO2 adsorption
on HCP. Left panels of
(a) and (b): comparison between the DRIFT infrared spectrum of the
triazine–biphenyl HCP sample with the positive (a) and negative
(b) spectral components obtained for CO2 adsorption measurements
at 50, 100, and 150 °C after performing MCR analysis. The right
panels of (a) and (b) represent the component concentration profiles
obtained by MCR. (c) Comparison between the ATR infrared spectrum
of the triazine monomer with the positive spectral components obtained
for CO2 adsorption measurements at 150 °C after MCR
analysis. (d) Illustration of the CO2 adsorption sites
in triazine–biphenyl HCP.
DRIFTS study of CO2 adsorption
on HCP. Left panels of
(a) and (b): comparison between the DRIFT infrared spectrum of the
triazine–biphenyl HCP sample with the positive (a) and negative
(b) spectral components obtained for CO2 adsorption measurements
at 50, 100, and 150 °C after performing MCR analysis. The right
panels of (a) and (b) represent the component concentration profiles
obtained by MCR. (c) Comparison between the ATR infrared spectrum
of the triazine monomer with the positive spectral components obtained
for CO2 adsorption measurements at 150 °C after MCR
analysis. (d) Illustration of the CO2 adsorption sites
in triazine–biphenyl HCP.As shown by the concentration profiles, at 50 °C,
both positive
and negative components dynamically appear or disappear in the presence
or absence of CO2, respectively (Figures a and 3b, right panels).
This finding corroborates the observation made using unprocessed difference
spectra suggesting the presence of both positive and negative bands
due to CO2 adsorption on the HCP surface. While we cannot
rule out that some CO2 may still be adsorbed after the
desorption step, the intensity of the oscillation in the concentration
profiles suggests a reversible process.After MCR analysis,
an exact determination of the HCP vibrational
bands red-shifted upon CO2 adsorption is now possible.
As shown in Figures a and 3b, at 50 °C, both negative and
positive components display vibrational bands at 1726, 1704, 1605,
1551, and 1490 cm–1 (bands 1, 2, 3, 5, and 7 of Figure a,b). These bands
are the ones shifted upon CO2 adsorption on HCP. They correspond
to the intermolecular biphenyl C=O bond vibrations, NH2 scissoring vibrations coupled with different C–NH2 vibrations modes, and N–C=N stretching vibrations
of the triazine monomer. Comparing the position of the vibrational
bands present in the positive component with the corresponding unshifted
HCP vibrational bands, we estimate that upon interaction with CO2 the HCP vibrational bands located at 1726, 1704, 1605, 1551,
and 1490 cm–1 are shifted by −2, −6,
−6, −11, and −8 cm–1, respectively
(Figure S11). To verify that these bands
are indeed the ones shifting under a CO2 atmosphere, we
simulated the difference spectrum obtained when the above-mentioned
bands are red-shifted by 8 cm–1. As shown in Figure S12, the simulated difference spectrum
is almost identical with the one measured, corroborating our hypothesis.
The small differences we observe are expected as each vibrational
band interacts differently with CO2, and therefore not
all bands will shift to the same extent, as in our simulation.Another aspect to study using MCR analysis is the kinetic behavior
of the positive and negative vibrational bands present in the difference
spectra. As determined by MCR, all the positive vibrational bands
belong to the same kinetically pure component and therefore dynamically
appear or disappear at the same rate in the presence or absence of
CO2. A similar reasoning applies to the negative vibrational
bands. Following this analysis, the HCP’s vibrational bands
located 1726, 1704, 1605, 1551, and 1490 cm–1 are
all shifting at the same rate under a CO2 atmosphere. This
observation can only occur if, upon CO2 adsorption, CO2 molecules interacts with all five vibrational bands at the
same time, within the time resolution of our measurements. Thereby,
as Figure a illustrates,
at 50 °C, CO2 concurrently interacts with the intermolecular
biphenyl C=O bond, the primary amines, and the triazine groups
of the triazine monomer. While we anticipated the interactions between
CO2 and the primary amines and the triazine groups, we
did not foresee CO2 interaction with the intermolecular
biphenyl C=O bond. It is interesting to see that residual oxygen
from the incomplete conversion of methoxy groups to cross-links, an
a priori undesired feature, plays a role in CO2 adsorption.To investigate the strength of CO2 adsorption with the
above-mentioned functional groups, we conducted additional CO2 adsorption measurements at 100 and 150 °C. At higher
temperatures, weakly bound CO2 desorbs, and only the spectral
features promoted by strongly adsorbed CO2 are observed.
As Figure a shows,
when increasing the temperature to 100 and 150 °C, the vibrational
bands of the positive component corresponding to the intermolecular
biphenyl C=O bond gradually disappear (bands 1 and 2), while
the ones corresponding to the triazine monomer remain unchanged (bands
3, 5, and 7). A similar behavior is observed for the negative component:
the negative vibrational bands of the intermolecular biphenyl C=O
bond disappear faster than those of the triazine monomer. Such observations
indicate that CO2 adsorbs more strongly to the triazine
groups than to the biphenyl sites. At 150 °C, we only observe
the vibrational bands corresponding to the triazine monomer (Figure c), suggesting that
at 150 °C, CO2 mainly adsorbs on the triazine monomer.
We illustrate how CO2 interacts with the triazine component
of the HCP in Figure d. As the temperature increases from 50 to 150 °C, some of the
positive triazine vibrational bands become sharper (Figure a) as strong CO2 interactions with HCP restrict vibrational motion. At 150 °C,
the broad HCP band at 1605 cm–1 originates from
two narrower bands at 1605 and 1593 cm–1 (bands
3 and 4, Figure a).
Both bands correspond to NH2 stretching vibrations coupled
with C–NH2 and C–C vibrations, respectively.
The positive bands at 1551 and 1490 cm–1 (bands
5 and 7, Figure b)
become sharper and come from primary amine vibrations, specifically
NH2 stretching vibrations coupled with C–NH2 and N–C=N vibrations, respectively. As all
the positive bands which become sharper involve NH2 vibrations,
we conclude that the primary amine groups of the triazine monomers
are strongly involved in CO2 adsorption.
Vibrational Analysis during H2O
Adsorption
We then investigated the HCP vibrational bands
involved in H2O adsorption. For H2O adsorption
measurements, we performed time-resolved DRIFTS measurements by alternatingly
passing water saturated He and He through the DRIFT cell. We performed
two H2O–He cycles for each temperature studied (50,
100, and 150 °C). Prior to passing water vapor through the DRIFTS
cell, we collected a DRIFT spectrum of the HCP under He and used it
as background spectrum to produce the difference spectra. To analyze
our data, we applied the same approach as that followed for CO2 adsorption (see Section ), and we describe our analysis in detail in the Supporting Information (Section S3). The analysis
shows that at 50 °C H2O and CO2 adsorb
in a similar manner on the HCP. However, we found that unlike CO2, H2O adsorbs more strongly to the biphenyl site
than to the triazine one. This phenomenon likely results from strong
hydrogen bonds between the water molecules and the intermolecular
biphenyl C=O bonds.
Vibrational Band Analysis in the Presence
of CO2 and H2O under Irradiation
Finally,
we investigated CO2 and H2O coadsorption on
HCP under transient light irradiation. During transient irradiation,
we exposed the sample to a water-saturated CO2 atmosphere
at 50 °C with UV–vis light turned on and off every 5 min.
Prior to passing water-saturated CO2 through the DRIFTS
cell, we collected a DRIFT spectrum of the HCP under He as background
spectrum. We processed the difference spectrum obtained during the
transient DRIFTS measurement using MCR. As Figure shows, we extracted five different kinetically
pure components with spectral significance. The first one (purple,
component A) corresponds to water vapor present in the DRIFTS cell,
while the others (components B–E) correspond to four different
positive spectral components. As shown by the concentration profiles
of the extracted components in Figure b, components B and C exhibit an amplitude change between
light on and off similar to that of water vapor, while components
D and E display more pronounced amplitude changes. Such signal difference
likely arises from the different adsorption strengths between CO2 and H2O on the HCP. As the signal amplitude of
components B and C is like that of water vapor, we assign these changes
to water adsorption, while components D and E correspond to changes
in CO2 adsorption. Compared to the CO2 components
D and E, the smaller signal changes observed for H2O possibly
arise from strong hydrogen bonds between the water molecules and the
HCP, favoring strong interactions.
Figure 4
MCR components extracted from DRIFTS measurements
during CO2 and H2O coadsorption on HCP under
intermittent
light irradiation. (a) Comparison between the DRIFT spectrum of the
triazine–biphenyl HCP sample with that of water vapor (A) and
the positive (B, C, D, E) spectral components obtained under a CO2/H2O atmosphere and transient UV–vis irradiation
at 50 °C. (b) Component concentration profiles obtained by MCR.
MCR components extracted from DRIFTS measurements
during CO2 and H2O coadsorption on HCP under
intermittent
light irradiation. (a) Comparison between the DRIFT spectrum of the
triazine–biphenyl HCP sample with that of water vapor (A) and
the positive (B, C, D, E) spectral components obtained under a CO2/H2O atmosphere and transient UV–vis irradiation
at 50 °C. (b) Component concentration profiles obtained by MCR.The concentration profile of the water vapor component
suggests
an increase of water vapor in the DRIFTS cell under light irradiation.
This phenomenon likely results from water desorption caused by an
increase of temperature at the HCP surface during irradiation. We
also note that all the vibrational bands belonging to components B
and C are red-shifted compared to that present in the background spectrum
and dynamically appear and disappear under light on and off, respectively.
Such behavior suggests an increase of substrate–HCP interactions
upon light irradiation. Thus, despite partial H2O desorption,
an increase of the number of interactions between the H2O molecules that are still adsorbed and the HCP occurs. As two components
(B and C) can be extracted, we conject that the H2O molecules
that are still adsorbed interact with the newly available adsorption
sites in two different manners. The first one (component B) suggests
that some of the adsorbed H2O molecules interact with both
newly available biphenyl C=O bond (bands 1 and 2, Figure ) and the triazine
groups (bands 3 and 7), while the second component (component C) suggests
that part of the adsorbed H2O only interacts with the newly
available triazine groups as only bands 3 and 7 are visible.With regard to the CO2 components, the vibrational bands
belonging to component E are blue-shifted compared to those in the
background spectrum and dynamically appear and disappear under light
on and off, respectively. As blue-shifted bands result from a decrease
of substrate interactions and component E is mainly constituted of
two vibrational bands corresponding to the biphenyl C=O bond
vibrations (bands 1 and 2 of Figure ), we suggest that under light irradiation adsorbed
CO2, which originally interacts with both C=O and
the triazine component, desorbs from the bridging C=O biphenyl
site. In addition, the vibrational bands of component D, which correspond
to the triazine group vibrations (bands 3 and 7, Figure ) are red-shifted compared
to the one present in the background spectrum and dynamically appear
and disappear under light on and off, respectively, suggesting that
upon light irradiation the number of CO2–triazine
interactions increases. As under irradiation some H2O molecules
desorb, partial CO2 desorption will also likely occur,
generating newly available adsorption sites. Thus, we conject that
upon light irradiation CO2 molecules that are still adsorbed
will interact with the newly available triazine adsorption sites.
Overall, upon light irradiation, we observe partial H2O
and CO2 desorption followed by a redistribution of the
number of interactions between the H2O and CO2 molecules that are still adsorbed and the HCP adsorption sites.
We illustrate the impact of light irradiation upon CO2 and
H2O interactions with the HCP in Figure .
Figure 5
Schematic illustration of the impact of light
irradiation upon
CO2 and H2O interactions with the HCP. It highlights
the changes in the number of interactions between the HCP and the
substrates. We note that the latter is relative to the number of interactions
detected under light off.
Schematic illustration of the impact of light
irradiation upon
CO2 and H2O interactions with the HCP. It highlights
the changes in the number of interactions between the HCP and the
substrates. We note that the latter is relative to the number of interactions
detected under light off.Finally, we did not detect any intermediate species
during the
transient DRIFTS measurement, and we confirmed this by conducting
a transient isotopic 13CO2 measurement and exposed
the HCP to a water-saturated 13CO2 atmosphere
instead of a water-saturated 12CO2 atmosphere
and irradiated the sample with a UV–vis light 5 min intermittently.
The analysis of the results is provided in the Supporting Information (Section S5, Figure S14). We note that
isotopic experiments like this one, though rarely performed, remain
important to unambiguously confirm the presence or not of intermediates.
Conclusion
We show a unique approach
that combines DFT calculations, in situ
DRIFTS, and MCR to probe gas (CO2) and vapor (H2O) interactions with carbon-based porous materials, demonstrated
here on HCP. We did so at varying temperatures and with or without
light irradiation. At 50 °C, CO2 adsorbs on both the
triazine and biphenyl components of the HCP, albeit more strongly
on the triazine one. The primary amine groups of triazine favored
strong interactions with CO2. On the other hand, H2O adsorbed on the same sites but more strongly on the biphenyl
component. Under transient light irradiation, we observed partial
H2O and CO2 desorption and a redistribution
of interactions between the still-adsorbed H2O and CO2 molecules and the HCP adsorption sites. Overall, this study
helps gain a better understanding of the relationship between the
HCPs structure/chemistry and CO2 and H2O adsorption.
These findings can be used to develop improved HCP photocatalysts
for CO2 conversion and better CO2 adsorbents.
Authors: Walter Christopher Wilfong; Chakravartula S Srikanth; Steven S C Chuang Journal: ACS Appl Mater Interfaces Date: 2014-08-04 Impact factor: 9.229
Authors: Giulia E M Schukraft; Robert T Woodward; Santosh Kumar; Michael Sachs; Salvador Eslava; Camille Petit Journal: ChemSusChem Date: 2021-01-22 Impact factor: 8.928