Literature DB >> 31482125

Chemiresistive Sensing of Ambient CO2 by an Autogenously Hydrated Cu3(hexaiminobenzene)2 Framework.

Ivo Stassen1, Jin-Hu Dou1, Christopher Hendon2, Mircea Dincă1.   

Abstract

A growing demand for indoor atmosphere monitoring relies critically on the ability to reliably and quantitatively detect carbon dioxide. Widespread adoption of CO2 sensors requires vastly improved materials and approaches because selective sensing of CO2 under ambient conditions, where relative humidity (RH) and other atmosphere contaminants provide a complex scenario, is particularly challenging. This report describes an ambient CO2 chemiresistor platform based on nanoporous, electrically conducting two-dimensional metal-organic frameworks (2D MOFs). The CO2 chemiresistive sensitivity of 2D MOFs is attained through the incorporation of imino-semiquinonate moieties, i.e., well-defined N-heteroatom functionalization. The best performance is obtained with Cu3(hexaiminobenzene)2, Cu3HIB2, which shows selective and robust ambient CO2 sensing properties at practically relevant levels (400-2500 ppm). The observed ambient CO2 sensitivity is nearly RH-independent in the range 10-80% RH. Cu3HIB2 shows higher sensitivity over a broader RH range than any other known chemiresistor. Characterization of the CO2-MOF interaction through a combination of in situ optical spectroscopy and density functional theory calculations evidence autogenously generated hydrated adsorption sites and a charge trapping mechanism as responsible for the intriguing CO2 sensing properties of Cu3HIB2.

Entities:  

Year:  2019        PMID: 31482125      PMCID: PMC6716125          DOI: 10.1021/acscentsci.9b00482

Source DB:  PubMed          Journal:  ACS Cent Sci        ISSN: 2374-7943            Impact factor:   14.553


Introduction

Carbon dioxide shows vast potential as a gas-phase marker in natural, domestic, and industrial processes.[1,2] For example, using the indoor CO2 level as a measure of human occupation can lead to smarter and more energy-efficient automation of buildings or vehicles.[3] Future Internet of things (IoT) devices able to perceive precise CO2 levels may find use in health and safety applications such as surveillance,[4] food spoilage,[5] and air quality.[6] Nondispersive infrared (NDIR) CO2 optical sensors are well-established in a handful of practical applications.[7] However, even after decades of optimization, some inherent drawbacks of their optoelectronic mode of operation remain unresolved: device complexity, power consumption, scalability, and cost.[1,2] To enable the widespread adoption of CO2 sensors in many aspects of modern society, inexpensive mass-producible devices are needed that offer simplicity, robustness, and ultralow power demand. Chemiresistors offer many of these benefits and are commercially already well-established in the form of metal oxide (MOx) sensors.[8] The operation principle of these simple, two-terminal passive components is based on conducting materials that transduce analyte–surface interactions to shifts in their current–voltage (I–V) characteristics. I–V curves correlate chemical states (e.g., target gas partial pressures) to the direct-current (DC) conductance, G, of a resistor (Figure a). However, in contrast to all combustible gases or vapors typically targeted by MOx sensors,[9] CO2 detection by oxidative decomposition is not feasible because CO2 cannot be further oxidized.
Figure 1

Conducting two-dimensional metal–organic framework (2D MOF) Cu3HIB2 for CO2 sensing: (a) Representation of the target of this study: conductance modulation of a chemiresistor by the partial pressure of CO2, pCO2; (b) portion of the Cu3HIB2 honeycomb lattice, displaying the intrinsic cavity and the high density of accessible NH moieties; (c) proposed molecular interactions occurring at the organic–inorganic node of Cu3HIB2 exposed to ambient CO2: formation of acid–base adducts and formation of bicarbonate salts by base-catalyzed hydrolysis; (d) isosteric heat of water adsorption and water adsorption isotherm for Cu3HIB2 at 20 °C; (e) isosteric heat of CO2 adsorption and CO2 adsorption isotherm for Cu3HIB2 at 20 °C.

Conducting two-dimensional metal–organic framework (2D MOF) Cu3HIB2 for CO2 sensing: (a) Representation of the target of this study: conductance modulation of a chemiresistor by the partial pressure of CO2, pCO2; (b) portion of the Cu3HIB2 honeycomb lattice, displaying the intrinsic cavity and the high density of accessible NH moieties; (c) proposed molecular interactions occurring at the organic–inorganic node of Cu3HIB2 exposed to ambient CO2: formation of acid–base adducts and formation of bicarbonate salts by base-catalyzed hydrolysis; (d) isosteric heat of water adsorption and water adsorption isotherm for Cu3HIB2 at 20 °C; (e) isosteric heat of CO2 adsorption and CO2 adsorption isotherm for Cu3HIB2 at 20 °C. Analogous to the recent advances made for other classes of challenging analytes,[10] material developments on the molecular level are key to establishing practical CO2 chemiresistors. Typical ambient CO2 sensing applications would require quantitative sensing in 10–1000 ppm of CO2 increments relative to the 0.04% (i.e., 400 ppm) atmospheric level, in air under a wide range of relative humidity (RH). Although many avenues of molecular and nanoscopic materials have been explored,[11,12] there are no materials that operate as efficient CO2 chemiresistors within these boundary conditions. One popular means to enhance the CO2 sensitivity and selectivity of chemiresistors is through functionalization with amine-rich nonconducting polymers, such as polyethylenimine (PEI),[13] which reversibly form acid–base adducts with CO2 or catalyze the hydrolysis of CO2 to carbonic acid and bicarbonates.[14−17] However, these composite amine-rich sensors display sharply decreasing sensitivity even for moderate drops in RH because dehydrated sensors gradually lose their ability to transduce interactions with CO2.[15−19] Electrically conducting two-dimensional metal–organic frameworks (2D MOFs) are an emergent class of nanoporous hybrid materials built from redox-active organic ligands and transition metal inorganic nodes.[20−22] The unique combination of electrical conductivity and intrinsic nanoporosity raises the intriguing potential to use 2D MOFs as chemical sensors.[23,24] Their utility in this respect has already been demonstrated with redox-active gases or condensable vapors, but none of these prior studies have identified efficient materials for the particularly difficult CO2 analyte, nor have they focused on addressing moisture as a significant interference.[25−30] Herein, we propose a platform for ambient CO2 sensing based on conducting 2D MOFs that are autogenously hydrated and comprise imino-semiquinonate (NH) moieties. As proof of concept, we demonstrate Cu3(hexaiminobenzene)2, Cu3HIB2, sensors prepared by simple drop-casting of as-synthesized polycrystalline material on interdigitated electrodes. Sensors made from Cu3HIB2 are capable of detecting small variations in the atmospheric CO2 level. Their sensitivity in the 400–1000 ppm range, –0.62% (100 ppm)−1, is remarkably invariant with relative humidity (RH) and is the highest among any other materials in the broad range 10–80% RH. In situ diffuse-reflectance spectroscopy (DRS) points toward analyte-induced charge trapping as the mechanism behind the observed response of the sensors.

Results and Discussion

The recently reported Cu3HIB2 (Figure b)[31−33] combines favorable design elements for CO2 chemiresistive sensing: electrical conductivity through a conjugated backbone, Lewis-basic N-heteroatoms, and protons for hydrogen-bond stabilization of charge-separated species. Its small nanopores (idealized 0.8 nm diameter) could further provide a good balance between accessibility to CO2 binding sites and confined inclusion effects that combine to strongly enhance sensor–analyte interactions.[14] Notably, among all known conducting 2D MOFs, Cu3HIB2 is built from the smallest possible organic building unit and therefore exhibits the highest density of NH moieties. Similar to amine-rich polymers, reversible formation of CO2 adducts or bicarbonate salts can be conceived within Cu3HIB2 when the material is exposed to ambient conditions. CO2 engaging in electron withdrawing interactions with amines, amounting to charge trapping with respect to the material, could give rise to direct chemiresistive modulation, as the amines are an integral part of the material’s conjugated backbone (Figure c). To explore the potential for CO2 sensing, we first explored the water and CO2 adsorption properties of bulk Cu3HIB2. In contrast with nonporous amine-rich polymers, guest-accessible channels are intrinsic to the nanoporous structure of the MOF, and they remain accessible even after repeated thermal activation and prolonged exposure to dry or ambient conditions (Figures S1). Revealingly, the experimental H2O adsorption isotherm for Cu3HIB2 showed distinct monolayer uptake in the range from zero to 5–10% RH (Figures d and S2). Fitting the H2O sorption data to the Langmuir isotherm revealed monolayer coverage in the 0–20% RH range corresponding to 8.1 wt % H2O uptake. This is consistent with filling of the sub-nanometer pores (approximately three H2O molecules for each intrinsic cavity). By contrast, the much more gradual H2O uptake at higher RH is indicative of structure-extrinsic, multilayer adsorption on grain boundaries and other structural defects. Importantly, the data reveal that the intrinsic hydration level of the MOF, corresponding to water uptake within the pores, should remain unchanged at values of RH greater than approximately 10% regardless of macroscopic sample morphology. The heat of adsorption for H2O above 10% RH is relatively small, approximately 35–45 kJ mol–1, and indicates reversible physisorption as the key interaction mechanism. Because the heat of adsorption of CO2 itself is within the same range at low relative pressure of CO2 (approximately 35–40 kJ mol–1; Figures e and S3), exchange of H2O with CO2 should occur without a significant energy penalty. Whereas the heat of adsorption values are small for water, as its spontaneous condensation on surfaces under these conditions of pressure and temperature is anticipated, the equivalent range is quite large for noncondensable CO2 but consistent with the formation of acid–base adducts between CO2 and the N-heteroatoms in the pores of the 2D MOF.[34] Moreover, single-component isotherms often give lower-limit estimates of the ambient interactions, as markedly stronger interaction pathways can be anticipated for CO2 and hydrated Cu3HIB2 (cf. bicarbonate formation, Figure c). Chemiresistors were fabricated on interdigitated electrodes, by simply drop-casting as-synthesized suspensions of Cu3HIB2 as inks. The devices were loaded into a custom-built gas sensing cell (see experimental description) and conditioned for several hours under constant electrical bias and simulated ambient conditions. The CO2 sensing performance of the devices was tested through direct-current amperometric (I–t) measurements at room temperature. The devices were subjected to different levels of CO2 in the 400–2500 ppm range, i.e., from outdoors atmospheric level to the upper limit typically found indoors, in both increasing and decreasing CO2 concentration regimes.[35] Each measurement was conducted at various levels of humidity in the range 0–80% RH, and 10 individual devices were tested over a total period of approximately 1 week. The normalized I–t traces, G/G0, recorded for one of the 10 devices, are shown in Figure a (G0 = initial baseline current). These experiments evidenced a clear “turn-off” response, i.e., inverse proportionality of the device conductance with the CO2 level, and demonstrated highly repeatable and robust operation over 7 days of continuous experimentation.
Figure 2

CO2 chemiresistive sensing properties of Cu3HIB2 at room temperature in simulated humid air: (a) Normalized current–time traces (vertically offset for clarity) for one device measured consecutively at various variations of the CO2 level respective to the 400 ppm baseline and at various constant RH values; (b) quantified responses between 400 and 1000 ppm (average and 1 standard deviation of mean response of 10 devices; blue line: linear fit of points acquired in the 10–80% RH range); (c) normalized response–recovery curves after an instant CO2 level increase from 400 to 2000 ppm, and the corresponding decrease from 2000 to 400 ppm (each curve represents the noise-filtered average of 10 devices); (d) overview of the 500–1000 ppm of CO2 sensing characteristics of solid-state chemiresistors reported in the literature and of the 2D MOFs tested as part of this work (indicated by asterisks). The evolution of the performance of Cu3HIB2 over a period of three months is indicated by the dotted lines. References: PANI, PEI/PANI;[16] PEI/PEDOT;[19] PEI/CNT;[18] rGO;[37,38] PEI/rGO;[39] graphene;[40] graphene/PEDOT;[41] La2O2CO3–NP/PIL;[42] Al2O3–NP/PIL.[43]

CO2 chemiresistive sensing properties of Cu3HIB2 at room temperature in simulated humid air: (a) Normalized current–time traces (vertically offset for clarity) for one device measured consecutively at various variations of the CO2 level respective to the 400 ppm baseline and at various constant RH values; (b) quantified responses between 400 and 1000 ppm (average and 1 standard deviation of mean response of 10 devices; blue line: linear fit of points acquired in the 10–80% RH range); (c) normalized response–recovery curves after an instant CO2 level increase from 400 to 2000 ppm, and the corresponding decrease from 2000 to 400 ppm (each curve represents the noise-filtered average of 10 devices); (d) overview of the 500–1000 ppm of CO2 sensing characteristics of solid-state chemiresistors reported in the literature and of the 2D MOFs tested as part of this work (indicated by asterisks). The evolution of the performance of Cu3HIB2 over a period of three months is indicated by the dotted lines. References: PANI, PEI/PANI;[16] PEI/PEDOT;[19] PEI/CNT;[18] rGO;[37,38] PEI/rGO;[39] graphene;[40] graphene/PEDOT;[41] La2O2CO3–NP/PIL;[42] Al2O3–NP/PIL.[43] The normalized responses between 400 and 1000 ppm, ΔG/G400 ppm, are plotted as a function of CO2 dosage in Figure b (see also Figure S4; G400 ppm = current after recovery from each respective incremental dose). Notably, over the broad range of ambient conditions (10–80% RH), the response of the Cu3HIB2-based sensors is linear with respect to the CO2 level and essentially RH-independent. The interpolated sensitivity (S) is −0.62% (100 ppm of CO2)−1, and the attainable signal resolution for a noise level of 3σ is 67 ppm. Despite the rather rudimentary nature of the drop-casted Cu3HIB2 sensors, their signal resolution is competitive with that of some commercial NDIR CO2 sensors.[7] Intriguingly, these results also highlight the critical role of moisture in the performance of the devices: at humidity levels below 10% RH or under dry conditions, the sensitivity drops considerably. Such conditions are only found, however, during the driest days in the driest deserts, at very high altitudes, or in Antarctica.[36] In Figure c, time-resolved analysis of the normalized response-recovery curves shows that the transient sensor characteristics reasonably obey first-order rate laws (i.e., approaching straight lines in the transformed semi-ln plot). The response and recovery times required to reach 90% of the saturation values (t90) were in the range of 7–11 min for a shift between 400 and 2000 ppm and constant RH values between 10 and 80%. Hence, the time resolution of the sensors is suitable for practical applications that require multiple measurements per hour. Consistent with the steady-state characteristics of the sensors, the normalized transient signals are nearly equivalent for the multiple simulated conditions of ambient RH. By contrast, the normalized kinetics were noticeably slower under simulated dry conditions (t90 = 12–13 min at 0% RH, dark green trace in Figure c). It should be noted, however, that even traces of water, which would be strongly adsorbed below 10% RH, are likely to promote CO2 interactions under these conditions. Figure d highlights the versatility of Cu3HIB2 as a CO2 sensor relative to other materials reported for this application. In the relatively narrow, but expanding field of MOF-based sensors (see Table S1), Cu3HIB2 is the only material capable of detecting practically relevant CO2 levels regardless of the transduction mechanism. More relevantly, the sensitivity of Cu3HIB2 is consistently the highest across the widest RH range reported thus far, even when compared to more complex sensor designs, e.g., meticulously downsized materials such as carbon nanotubes or few-layer graphene/graphene-oxide flakes and composite materials (see Table S2 for a detailed description of the entries in Figure d). Even though long-term operation data beyond the range of a few days is seldom available for previous ambient CO2 chemiresistors (see Table S2), the long-term stability of the Cu3HIB2 sensors—beyond the robust first week of operation shown in Figure a—was probed by repeating the test sequence at 50% RH on the same set of devices every 2 weeks for 3.5 months (Figure S5, dotted lines in Figure d). During this time, the sensitivity drifted, as is often observed with other chemiresistors.[44] Despite this gradual drop in absolute sensitivity, the signals remained fully analytical and predictable, and the sensitivity after three months under simulated real-world conditions was still RH-independent (Figure S6). The remarkable performance of Cu3HIB2 as a CO2 sensor and several data in Figure , most obviously the divergent behavior under dry conditions, point to a unique CO2 capture/sensing mechanism that warrants further investigation. Indeed, the response of the Cu3HIB2 sensors at CO2 levels below the atmospheric range (i.e., 0–500 ppm) is both stronger, S = −3.4% (100 ppm)−1 and slower, t90 > 2 h (Figure S7). This is expected because the strongest adsorption sites are occupied by the first few molecules at a low CO2 level. Although for Cu3HIB2 these strong adsorption sites do not influence the sensitivity in the relevant range of CO2 concentration (i.e., above 400 ppm), these results show that tuning material properties to enhance sensitivity would likely come at the expense of response time. To test the efficacy of related 2D conducting MOFs for CO2 sensing, we investigated isomorphic materials made either from other transition metals or from differently functionalized organic ligands. Whereas all of these materials exhibited humidity responses similar to that of Cu3HIB2, roughly 0.2–0.5% (% RH)−1 (Figure S8), none exhibited CO2 sensitivity approaching that of the latter (Figure d, and Figures S9–11). Thus, Cu3HOTP2 (HOTP = 2,3,6,7,10,11-hexaoxytriphenylene), wherein copper nodes bridge semiquinonate (O) rather than imino-semiquinonate (NH) ligands, showed no measurable response at any CO2 level. This confirms the important role of the imines in promoting interactions with CO2 in Cu3HIB2. Ni3HIB2, the isostructural Ni analogue of Cu3HIB2, displayed “turn-on” responses, i.e., conductivity changes that were opposite in sign to those observed for the Cu analogue, that were nevertheless relatively small and were further negatively affected by increasing RH. Ni3HITP2 (HITP = 2,3,6,7,10,11-hexaiminosemiquinonatotriphenylene), an imine-containing MOF with a wider pore size, showed similar weak sensing characteristics. Notably, all imine materials exhibit a similar CO2 uptake at low CO2 pressure (Figure S12), suggesting that the vastly superior sensitivity of Cu3HIB2 relative to Ni3HIB2 and Ni3HITP2 is intrinsic and is likely related to electronic effects, as also addressed below. Clues to the mechanism of CO2 sensing in Cu3HIB2 came from investigating powder samples exposed to various levels of CO2 at 50% RH by in situ diffuse-reflectance infrared Fourier-transform spectroscopy (DRIFTS) (Figure a). These spectra revealed important information about material stability as well as the first indications of electronic modulation of the MOF in the presence of CO2. Thus, the vibrational modes pertaining to the organic ligands and the MOF lattice remained invariable at any level of CO2 exposure, underlining the chemical stability of Cu3HIB2 under humid CO2 atmosphere. Similarly, the frequencies of the characteristic v2 and v3 modes of CO2 were nearly indistinguishable from those of gaseous CO2, with only their intensities varying consistent with adsorptive accumulation (Figure S13). No characteristic modes for bicarbonate or carbamates were observed at CO2 concentrations between 0–2500 ppm; these modes became apparent only weakly and only upon significantly raising the CO2 level to 1–10% (i.e., 10 000–100 000 ppm; Figure S14). Analogous to the speciation of dissolved CO2 in aqueous amine media,[45] the bicarbonate and carbamate salt fractions in Cu3HIB2 are presumed to be exceedingly small, particularly at typical ambient CO2 levels. Most revealingly, increasing CO2 levels cause a gradual decrease of the background IR absorbance of the material, most evident in the spectral ranges that are not dominated by strong vibrational modes from the MOF itself (e.g., hv = 0.5–0.6 eV and 0.25–0.3 eV). In degenerate or narrow-gap semiconductors, the background IR absorbance is generally associated with intraband excitation of free carriers in partially filled bands, also known as free carrier absorption (FCA).[46] FCA evolves inversely proportional with the square of the photon energy. Here, the decrease of background IR intensity with increasing CO2 level is in line with a decrease of the free carrier concentration in Cu3HIB2.
Figure 3

In situ spectroscopic probing of the electronic response of Cu3HIB2 under air at 50%RH. (a) Kubelka–Munk-transformed DRIFTS. The absorbance contributions that are not directly related to the organic vibrational modes of the material are labeled by arrows. The blue dashed line is the assignment of the contribution of free carrier absorbance (FCA). The blue double arrows indicate the background shift induced by adsorption (full line) and desorption (dotted line) of CO2, respectively; (b) Kubelka–Munk-transformed NIR-DRS for the same color legend as panel a. The inset shows the shift in absorbance relative to the spectrum measured at 0 ppm of CO2; (c) computed band structure of bulk Cu3(HIB)2. The expected widening of the optical band gap (EO) upon decrease of the Fermi level is schematically illustrated (exaggerated for clarity). The inset shows the high-symmetry K-points of the first Brillouin zone; (d) Tauc plot fits of the data indicate Moss-Burstein widening of the band gap upon adsorption of CO2 in humid Cu3HIB2. The inset shows the change of the fitted band gap energy relative to the spectrum at 0 ppm.

In situ spectroscopic probing of the electronic response of Cu3HIB2 under air at 50%RH. (a) Kubelka–Munk-transformed DRIFTS. The absorbance contributions that are not directly related to the organic vibrational modes of the material are labeled by arrows. The blue dashed line is the assignment of the contribution of free carrier absorbance (FCA). The blue double arrows indicate the background shift induced by adsorption (full line) and desorption (dotted line) of CO2, respectively; (b) Kubelka–Munk-transformed NIR-DRS for the same color legend as panel a. The inset shows the shift in absorbance relative to the spectrum measured at 0 ppm of CO2; (c) computed band structure of bulk Cu3(HIB)2. The expected widening of the optical band gap (EO) upon decrease of the Fermi level is schematically illustrated (exaggerated for clarity). The inset shows the high-symmetry K-points of the first Brillouin zone; (d) Tauc plot fits of the data indicate Moss-Burstein widening of the band gap upon adsorption of CO2 in humid Cu3HIB2. The inset shows the change of the fitted band gap energy relative to the spectrum at 0 ppm. The modulation of the free carrier concentration in Cu3HIB2 by CO2 is corroborated by diffuse reflectance data in the near-infrared region. As shown in Figure b, the diminished background absorbance induced by CO2 persists above the IR range up to approximately 1.2 eV, in agreement with the DRIFTS data. Qualitatively, the same data can be interpreted as a blue shift of the optical absorption edge, i.e., a widening of the optical band gap (Figure b, inset). The computed band structure of Cu3HIB2, reported in previous work for the ideal crystal lattice devoid of included guest molecules,[32] shows a forbidden zone between the valence band and the conduction band (E0, Figure c) and an indirect optical band gap. The position of the Fermi level, EF, within the valence band, rather than the forbidden gap, as is typical for degenerately doped semiconductors, governs the photon energy required for the interband transition, i.e., the optical band gap (cf. Moss–Burstein shift).[47,48] As such, the band structure of Cu3HIB2 predicts a correlation between the indirect optical band gap and the Fermi level of the material: down shifting of EF (denoted EF* in Figure c) leads to widening of the optical band gap (E0*). The above treatment is in good agreement with the experimental NIR data transformed in Tauc coordinates for indirect interband transitions, (αhν)0.5, assuming proportionality between F(R) and α, the absorption coefficient. This assumption can be made through dilution of the sample in an appropriate matrix. The linearized range of the Tauc plots—near the midpoint between the low and high absorbance ranges—was fitted and extrapolated to the intersection with the hν-axis (Figure d).[47,49,50] Through the shifting intersect, a clear widening of the optical gap, ΔE0/E0 = +2–5% or 13–32 meV, is observed for exposure to 500–2500 ppm of CO2. Notably, the incremental widening of the gap shows distinct saturation toward higher levels, consistent with the shape of the CO2 adsorption isotherm and with the chemiresistive characteristics of the material (Figure d). Notably, similar absorbance background/band edge shifts are observable at different CO2/H2O ratios, consistent with the selective response to CO2 under hydrated conditions (Figures S15). Importantly, although these data do not provide a molecular-level understanding of a particular CO2 binding mode to Cu3HIB2, they are consistent with the hypothesis of charge trapping as a mechanism for CO2 sensing, as proposed earlier. Indeed, water also induces background changes to the optical absorption data, but only below 10%RH, which we correlate with intrinsic water sorption. Above 10% RH, no significant further background modulation is observed (Figure S16), which is consistent with the water adsorption isotherm indicating extrinsic adsorption at RH > 10%. Notably, the low absorbance spectral region between the FCA and the onset of the absorption edge is not observed for Ni3HIB2 (Figure S17). The absence of this optical signature confirms the different electronic origin of the much weaker “turn-on” response of this 2D MOF. In conclusion, conducting MOFs based on imino-semiquinonate moieties provide a powerful platform for chemiresistive sensing of ambient CO2. Autogenous hydration of nanopores under ambient conditions provides remarkable independence of the CO2 sensitivity with relative humidity, which contrasts strongly with previously reported CO2 chemiresistors. Supported by electrical and spectroscopic data, we showed that compositional tuning of the 2D MOFs greatly impacts the CO2 sensitivity. Encouraged by the robustness of our proof-of-concept sensors throughout months of use, and by the modularity and flexibility of the conducting 2D MOFs platform, these results provide a blueprint for tuning and optimizing chemiresistive responses for other host–guest pairs of interest.

Methods

Device Preparation

Interdigitated electrodes (Pt, 200 μm line width; 150 μm interspacing) on ceramic supports were obtained from BVT Technologies (product ID: CC1.W2). All 2D MOFs samples were prepared according to slightly modified published procedures, as described in the Supporting Information. No unexpected or unusually high safety hazards were encountered. Colloidal inks (3 mg mL–1 in methanol) were prepared by ultrasonication using the freshly prepared, nondried 2D MOF powders. The inks were manually drop-casted on the active area of the substrate, by 1–2 μL amounts, at 45 °C using a hot plate and until the device resistances roughly stopped decreasing (typically, 5–10 droplets). The devices were baked for 15 min at 45 °C and stored under ambient conditions in closed gel-packs.

Gas Sensor Characterization

The gas sensor characterization was conducted at room temperature for up to 10 parallel devices using a home-built system consisting of a polytetrafluoroethylene cell and three Alicat mass-flow controllers. The Alicat Flow Vision software was used for programmed mixing of Airgas Ultra Zero synthetic air, synthetic air humidified using a scrubber filled with deionized water, and Airgas Research grade Carbon dioxide. A constant flow of 1 standard liter per minute (SLPM) was provided at the inlet of the cell (volume approximately 25 mL), and a mineral oil trap was connected to the outlet. The DC bias of the sensors was 0.8 V, and the currents were recorded in PalmSens PSTrace using a Palmsens EMstat3 equipped with a MUX-16 multiplexer (data acquisition rate: 0.5 Hz). Data analysis was conducted using a script in OriginLab OriginPro. Prior to the measurements, the devices were exposed to repeated hourly cycles of 0–500–1000 ppm of CO2 at 50 RH until the baseline current stabilized (approximately residual drift smaller than −1% h–1 during the first 2 days, and smaller than −0.2% h–1 during the following weeks).

Adsorption Isotherms

The water and CO2 adsorption isotherms were collected for 2D MOF powder samples (approximately 35 mg dry weight, preactivated at 100 °C under dynamic vacuum) using a Micromeritics ASAP 2020 equipped with vapor dosing option and an isothermal circulation bath for temperature control. The isosteric enthalpies of adsorption were calculated through evaluation of the temperature dependence of the pressure at equal surface coverage, using the Clausius–Clapeyron equation and measurement of the isotherms at three temperatures (15, 20, 25 °C).

In Situ Spectroscopy

Diffuse reflectance experiments were performed on carefully grinded mixtures of approximately 0.5 wt % 2D MOF in potassium bromide. All spectra are plotted with respect to the KBr background and after Kubelka–Munk transformation.
  23 in total

Review 1.  Carbon dioxide capture in metal-organic frameworks.

Authors:  Kenji Sumida; David L Rogow; Jarad A Mason; Thomas M McDonald; Eric D Bloch; Zoey R Herm; Tae-Hyun Bae; Jeffrey R Long
Journal:  Chem Rev       Date:  2011-12-28       Impact factor: 60.622

Review 2.  Chemical sensors with integrated electronics.

Authors:  Segyeong Joo; Richard B Brown
Journal:  Chem Rev       Date:  2008-01-10       Impact factor: 60.622

3.  Determination of energy band gap of nanocrystalline SbSI using diffuse reflectance spectroscopy.

Authors:  M Nowak; B Kauch; P Szperlich
Journal:  Rev Sci Instrum       Date:  2009-04       Impact factor: 1.523

4.  High electrical conductivity in Ni₃(2,3,6,7,10,11-hexaiminotriphenylene)₂, a semiconducting metal-organic graphene analogue.

Authors:  Dennis Sheberla; Lei Sun; Martin A Blood-Forsythe; Süleyman Er; Casey R Wade; Carl K Brozek; Alán Aspuru-Guzik; Mircea Dincă
Journal:  J Am Chem Soc       Date:  2014-04-25       Impact factor: 15.419

5.  Cu₃(hexaiminotriphenylene)₂: an electrically conductive 2D metal-organic framework for chemiresistive sensing.

Authors:  Michael G Campbell; Dennis Sheberla; Sophie F Liu; Timothy M Swager; Mircea Dincă
Journal:  Angew Chem Int Ed Engl       Date:  2015-02-09       Impact factor: 15.336

6.  Structurally simple complexes of CO2.

Authors:  Luke J Murphy; Katherine N Robertson; Richard A Kemp; Heikki M Tuononen; Jason A C Clyburne
Journal:  Chem Commun (Camb)       Date:  2015-03-07       Impact factor: 6.222

7.  A miniature chemiresistor sensor for carbon dioxide.

Authors:  Sira Srinives; Tapan Sarkar; Raul Hernandez; Ashok Mulchandani
Journal:  Anal Chim Acta       Date:  2015-03-18       Impact factor: 6.558

Review 8.  Electrically Conductive Porous Metal-Organic Frameworks.

Authors:  Lei Sun; Michael G Campbell; Mircea Dincă
Journal:  Angew Chem Int Ed Engl       Date:  2016-01-08       Impact factor: 15.336

9.  Chemiresistive Sensor Arrays from Conductive 2D Metal-Organic Frameworks.

Authors:  Michael G Campbell; Sophie F Liu; Timothy M Swager; Mircea Dincă
Journal:  J Am Chem Soc       Date:  2015-10-27       Impact factor: 15.419

Review 10.  Graphene Hybrid Materials in Gas Sensing Applications.

Authors:  Usman Latif; Franz L Dickert
Journal:  Sensors (Basel)       Date:  2015-12-04       Impact factor: 3.576

View more
  6 in total

Review 1.  Molecularly Imprinted Porous Aromatic Frameworks for Molecular Recognition.

Authors:  Ye Yuan; Yajie Yang; Guangshan Zhu
Journal:  ACS Cent Sci       Date:  2020-06-04       Impact factor: 14.553

Review 2.  Metal-Organic Framework Based Gas Sensors.

Authors:  Hongye Yuan; Nanxi Li; Weidong Fan; Hong Cai; Dan Zhao
Journal:  Adv Sci (Weinh)       Date:  2021-12-22       Impact factor: 16.806

Review 3.  Organic ultrathin nanostructure arrays: materials, methods and applications.

Authors:  Yanjie Wei; Yue Geng; Kui Wang; Hanfei Gao; Yuchen Wu; Lei Jiang
Journal:  Nanoscale Adv       Date:  2022-05-19

4.  Electrical Conductivity in a Porous, Cubic Rare-Earth Catecholate.

Authors:  Grigorii Skorupskii; Mircea Dincă
Journal:  J Am Chem Soc       Date:  2020-04-01       Impact factor: 15.419

5.  Reticular Chemistry in All Dimensions.

Authors:  Omar M Yaghi
Journal:  ACS Cent Sci       Date:  2019-08-06       Impact factor: 14.553

6.  Visible-Light-Activated Type II Heterojunction in Cu3(hexahydroxytriphenylene)2/Fe2O3 Hybrids for Reversible NO2 Sensing: Critical Role of π-π* Transition.

Authors:  Young-Moo Jo; Kyeorei Lim; Ji Won Yoon; Yong Kun Jo; Young Kook Moon; Ho Won Jang; Jong-Heun Lee
Journal:  ACS Cent Sci       Date:  2021-06-09       Impact factor: 14.553

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.