Ryan J. R.
Jones
a,
Yungchieh
Lai
a,
Kevin
Kan
a,
Dan
Guevarra
a,
Joel A.
Haber
a,
Natalia M.
Ramirez
b,
Alessandra
Zito
b,
Clarabella
Li
b,
Jenny Y.
Yang
b,
Aaron M.
Appel
c and
John M.
Gregoire
*a
aDivision of Engineering and Applied Science, California Institute of Technology, Pasadena, CA 91125, USA. E-mail: gregoire@caltech.edu
bDepartment of Chemistry, University of California, Irvine, California 92697, USA
cInstitute for Integrated Catalysis, Pacific Northwest National Laboratory, Richland, Washington 99352, USA
First published on 28th February 2024
The ideation of carbon capture, concentration, and utilization technologies is establishing a need for carbon dioxide sorbents with specific binding, release, and chemical specifications. While computational workflows can help navigate the broad search space of molecular sorbents, automated experimental screening platforms are relatively underdeveloped. We present a carbon capture screening instrument to characterize the carbon dioxide binding and sorption capacity of liquid sorbent media. We discuss the extension of this capability to characterize the loaded liquid sorbent as well as the headspace to facilitate study of the carbon dioxide adduct, for example its electrochemical activation. The fabrication and computer automation instructions are provided so that the experimental technique can be implemented in a broad range of materials acceleration platforms involving gas sorption.
The high-level steps of the CCSI instrument for each experiment cycle are shown in Fig. 1c, and the pseudo-code showing the granular execution of these steps is provided in the ESI.† The liquid sorbent for each CCSI experiment is automatically prepared via programmed injection into the sorption chamber from 1 or more syringe pumps. The headspace is prepared prior to the injection of the liquid sorbent, and the sorption experiment is considered to start at the initiation of the sorbent injection into the recirculation cell. After liquid injection, the recirculation pump is activated for the duration of the measurement, which is 1 hour for most measurements in the present work. We note that within a couple minutes, the data exhibits whether there is substantial CO2 sorption from the given headspace, although for the present work we conduct longer experiments to observe the path toward gas–liquid equilibration. As noted in Fig. 1c, the experiment cycle concludes by extraction of the liquid and purging of the instrument.
The headspace for each CCSI experiment is prepared in one of 2 ways. A gas cylinder with 9.85 ± 0.2% CO2 in N2 from Airgas provides the standard process gas. Flushing the system with this gas, injecting the liquid sorbent, and sealing the system provides the initial state where the moles of CO2 in the system is limited to the headspace volume at 0.099 atm CO2. The amount of CO2 sorbed by the liquid (mtot) is then determined by the CO2 added to the system via the mass flow controller (MFC) to maintain this pCO2.
If there are multiple values of pCO2 that will be routinely used, custom gases may be prepared accordingly and selected as the source gas for this primary method of preparing the headspace. In our standard operation, we occasionally use lower pressures of CO2, e.g. 1% or 0.1%, which we prepare via an alternative method wherein the atmosphere is initialized with pure N2. After liquid injection and sealing of the system, the feedback loop for maintaining the setpoint pCO2 is started, where low CO2 in the headspace results in immediate CO2 injection. From here, the experiment proceeds as described above, and the calculation of mtot accounts for the CO2 from the MFC that is in the gas phase.
While mtot quantifies the amount of CO2 in the liquid phase, the goal of the CCSI experiment is to quantify the chemically bound CO2. Thus, mtot is modelled as the sum of the physisorbed unbound CO2 (mphys), as dictated by Henry's Law coefficient for the solvent, and the chemisorbed CO2 (mchem).
Fig. 2 shows example data for select combinations of [KOH] and pCO2 where the CO2 sorption is evidenced by an initial decrease in the pCO2 signal, which triggers periodic injection of CO2 to eventually restore the headspace to its initial value of pCO2. For the aqueous KOH experiments, mphys is calculated as the product of the Henry's coefficient for CO2 in water (0.033 M atm−1) and the pCO2 for the respective experiment. The reaction of CO2 and OH− can result in either carbonate or bicarbonate, whose relative concentration may be determined by measuring the pH of the liquid, where carbonate is the dominant species above pH ∼ 10 and bicarbonate is the dominant species below pH ∼ 10. Fig. 3 shows the value of mchem with respect to the loading of KOH for each of the 4 experiments. For 3 of these experiments, the pH was measured after the CCSI experiment. The measurements with 9.9% CO2 in the headspace follow the expected trend for reaction of OH− and CO2 to form KHCO3, which is corroborated by the measurement of near-neutral pH for each liquid. The measurement with 0.1% CO2 more closely matches the expected value of mchem for the formation of K2CO3. Due the anticipated poor kinetics for equilibration due to the low pCO2 and low initial [KOH], this measurement was extended to 5 hours, after which the measured pH of 12.15 corroborates the formation of carbonate as the primary species of dissolved inorganic carbon.
Fig. 3 The data from the four 1 hour experiments in Fig. 2 are summarized to show the relationship between the inferred amount of chemisorbed CO2 and the amount of OH− in the initial liquid sorbent. The experiment with lowest [KOH] and partial pressure was extended to 5 hours, where the measured pH of the liquid sorbent (pH 12.2) corroborates the approximately 1:2 ratio of the chemisorbed CO2 and hydroxide expected for formation of carbonate as the primary dissolved inorganic carbon species. For the other 3 experiments, this ratio is approximately 1:1, corresponding to the formation of bicarbonate. |
(1) |
(2) |
The error and uncertainty of this quantity will be minimized when the concentrations of R and RCO2 are approximately equal, which for a given expected binding constant K motivates the choice of
However, for a binding constant larger than 103, which is required for capture from dilute sources of CO2, the poor transfer kinetics at the corresponding low pCO2 may lead to undesirably long experiment times to equilibrate the liquid sorbent and headspace. For primary screening, we propose using a ca. 10% CO2 atmosphere, which is sufficient to identify the sorbents with binding constants between approximately 10−1 and 102. If mRCO2 is found to be approximately equal to m0, then the apparent binding constant is too large to be adequately characterized with pCO2 = 9.9%, motivating additional experiments with lower values, such as the 0.1% CO2 atmospheres used in Fig. 2.
Tetramethylammonium pentafluorophenoxide is a novel molecular sorbent, whose synthesis is characterized by nuclear magnetic resonance (NMR) and Fourier transform infrared spectroscopy (FTIR) in Fig. S1–S5.†Fig. 4 shows the CCSI data for 9.9% CO2 headspace with aqueous 0.1 M tetramethylammonium pentafluorophenoxide sorbent, corresponding to m0 = 0.5 mmol in the 5 mL aqueous solvent. The pCO2 and CO2 injection data are shown in Fig. 4, whose analysis provides mtot = 0.07 (mmol) after the ∼1 h experiment, with mphys = 0.0165 (mmol) from the presumed free CO2 physisorbed in the aqueous solvent. We note that mtot reached 80% and 90% of this value after ca. 550 and 750 s, respectively, highlighting the opportunity to accelerate sorbent screening as needed.
Following the analysis of eqn (2), the mchem = 0.0542 mmol corresponds to an apparent binding constant Kapp = 1.35. While this value is insufficient for applications such as direct air capture, the rapid acquisition of this value from an automated system demonstrates the ability of the CCSI instrument to accelerate sorbent discovery efforts.
While component-level operation instructions are provided in the ESI,† we recommend the following evaluations to validate the CCSI assembly. The first validation is against atmospheric leaks, which can be performed by purging the system with N2 gas until the CO2 sensor reaches its noise floor, following by sealing the headspace and recirculating the gas using the recirculation pump. The CO2 sensor time series should then characterize the leak rate of CO2 in the system, which should be below 10 ppm s−1, although the acceptable rate depends on the intended system use with respect to sorption strength, pCO2, and measurement duration. The analogous experiment can be performed with the standard gas intended for sorbent screening, i.e. 9.9% CO2 in the present work, where any decline in the measured pCO2 during sealed headspace recirculation indicates a leak to atmosphere. In both cases, we note that the diffusion of gasses through plastic tubing may provide an apparent nonzero leak rate. With the gas handling validated, we recommend that the first set of sorption experiments involve a known strong sorbent. For example, reproduction of Fig. 3 by performing the experiments shown in Fig. 2 should provide sufficient quantitative characterization of the CCSI to enable subsequent characterization of novel sorbents.
The MFC control algorithm used in the present work is relatively simple and designed to mitigate the over-pressurization of CO2 in the system. We believe that the gas–liquid exchange kinetics are the limiting factor for experiment throughput, although we note the opportunity for increasing the efficiency of pCO2 through, for example, a proportional–integral–derivative (PID) controller.
The CCSI system provides the ability for post-sorption analysis of the sorbent media. In the present work, this analysis is limited to manual pH measurements. Fig. 1b illustrates the valve configuration for implementing post-sorption characterization of the CO2-loaded liquid and headspace gas. These steps are noted as optional in Fig. 1c, and the pseudo-code provided in the ESI† includes the steps for executing such post-sorption analyses, as well as the additional cleaning steps.
To the best of our knowledge, there is no commercial analogue to the CCSI instrument, with automated preparation of sorbent media, execution of sorption characterization, and triggering subsequent liquid and gas analyses. The design employed herein offers a relatively inexpensive set of components, as detailed in the ESI.† Compared to a TGA instrument, which can cost upwards of 10000 U.S.D., the CCSI components are comparable and possibly lower depending on factors such as availability of an existing computer, the chemical compatibility of components (the present build can handle aqueous and nonaqueous solvents, while several valve and tubing components may be replaced with less expensive alternatives for aqueous-only operation), and the sorbent media preparation manifold. The biggest variable in the system cost is the choice of recirculation pump, which can be ca. 1000 U.S.D. for an inexpensive peristaltic pump using tubing with limited chemical compatibility, to ca. 4000 U.S.D. for a diaphragm pump with PEEK tubing, which increases chemical compatibility and enables pumping of viscous sorbent media. We note that in the present work the recirculation pump acts only on the headspace, but we envision pumping on the liquid sorbent in subsequent electrochemical characterization using a recirculation cell design that we previously reported.14 We have built multiple versions of the CCSI with different choices of pumps to meet different specifications of the sorbent media. To our knowledge, no similar instrument has been replicated in an independent laboratory.
The 18.2 MΩ water used to prepare all sorbent media was from a Millipore Milli-Q Advantage A10. The KOH solution was prepared via dissolution of KOH pellets (Macron Fine Chemicals, AR-ACS). The two pure gases are 99.999%, 99.998% for CO2 and N2, respectively, and the gas mixture is 9.85 ± 0.2% CO2 in N2 (airgas).
Synthetic work was carried out in ambient air and environment. All solvents and reagents were purchased from commercial vendors and used without further purification unless otherwise noted. Deuterated DMSO used for NMR characterization was purchased from Cambridge Isotope Laboratories, Inc., as was degassed via the free–pump–thaw method and stored over activated 3 Å molecular sieves in a glovebox.
Fourier Transform Infrared (FTIR) spectroscopy was performed using a Thermo Scientific Nicolet iS5 FTIR Spectrometer with iD5 diamond ATR. 1H, 13C{1H}, and 19F{1H} NMR and spectra were recorded on a 600 MHz Varian instrument. 1H and 13C NMR spectra chemical shifts are reported as δ values in ppm relative to the residual solvent (CD3)2SO (2.50 ppm, 1H, and 39.52 ppm, 13C).
Tetramethylammonium 2,3,4,5,6-pentafluorophenolate was synthesized and characterized as follows. Pentafluorophenol (1.672 g, 9 mmol) was weighed out and added to a vial containing 25% w/w tetra(n-methyl)ammonium hydroxide (3.298 g, 9 mmol) and methanol (2 mL). This mixture was stirred at room temperature overnight. The resulting solution was dried using a rotary evaporator and then dried further on a high vacuum pump on a Schlenk line overnight. The product is a fine white powder. The product was stored in a nitrogen atmosphere until use, which involved air exposure during the dissolution in water to create the sorbent media. Yield: 2.259 g (97%). 1H NMR (600 MHz d-DMSO) δ 3.14 (TMA) ppm. 13C{1H} NMR (151 MHz, d-DSMO) δ 147.8 (tt, J = 14.1, 4.0 Hz), 140.9 (dtdd, J = 231.9, 9.2, 4.6, 1.9 Hz), 138.6 (ddtd, J = 235.9, 19.2, 10.6, 2.3 Hz), 123.7 (dtt, J = 222.4, 14.8, 5.4 Hz), 54.4–54.3 (m, TMA) ppm. 13C{1H} NMR (151 MHz, D2O) δ 142.0–141.7 (m), 140.8 (dm, J = 231.6 Hz), 138.2 (dm, J = 240.7 Hz), 129.8 (dm, J = 232.4 Hz), 55.3–55.2 (m, TMA) ppm. 19F{1H} (565 MHz, d-DMSO) δ −172.0–172.1 (m, 2F), −172.1–172.3 (m, 2F), −196.3–196.5 (m, 1F) ppm. FTIR (ATR)/cm−1v = 3032.41 (w), 1690.86 (w), 1644.75 (w), 1599.17 (w), 1504.13 (s), 1487.98 (s), 1467.75 (s), 1248.42 (m), 1230.19 (m), 1167 (w), 1084.29 (w), 1046.34 (w), 1001.62 (s), 967.89 (s), 723.23 (w), 604.91 (w), 577.75 (w).
Footnote |
† Electronic supplementary information (ESI) available: Molecular sorbent synthesis data, CCSI assembly instructions, CCSI automation using helao-async, and CCSI bill of materials. See DOI: https://doi.org/10.1039/d3dd00232b |
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