Open Access Article
This Open Access Article is licensed under a
Creative Commons Attribution 3.0 Unported Licence

Boosting CO2 adsorption and selectivity in metal–organic frameworks of MIL-96(Al) via second metal Ca coordination

Hussein Rasool Abid*ab, Zana Hassan Radaa, Yuan Li*c, Hussein A. Mohammeda, Yuan Wangd, Shaobin Wange, Hamidreza Arandiyanf, Xiaoyao Tanc and Shaomin Liu*a
aWA School of Mines: Minerals, Energy and Chemical Engineering, Curtin University, WA 6102, Australia. E-mail: hussein.abid@curtin.edu.au; Shaomin.Liu@curtin.edu.au
bEnvironmental Department, Applied Medical Science, University of Karbala, Karbala 56001, Iraq
cDepartment of Chemical Engineering, Tianjin Polytechnic University, Tianjin, 300387, China. E-mail: liyuan@tjpu.edu.cn
dSchool of Chemistry, Faculty of Science, The University of New South Wales, Sydney, New South Wales 2052, Australia
eSchool of Chemical Engineering, University of Adelaide, SA 5005, Australia
fLaboratory of Advanced Catalysis for Sustainability, School of Chemistry, The University of Sydney, Sydney 2006, Australia

Received 11th January 2020 , Accepted 13th February 2020

First published on 25th February 2020


Abstract

Aluminum trimesate-based MOF (MIL-96-(Al)) has attracted intense attention due to its high chemical stability and strong CO2 adsorption capacity. In this study, CO2 capture and selectivity of MIL-96-Al was further improved by the coordination of the second metal Ca. To this end, a series of MIL-96(Al)–Ca were hydrothermally synthesised by a one-pot method, varying the molar ratio of Ca2+/Al3+. It is shown that the variation of Ca2+/Al3+ ratio results in significant changes in crystal shape and size. The shape varies from the hexagonal rods capped in the ends by a hexagonal pyramid in MIL-96(Al) without Ca to the thin hexagonal disks in MIL-96(Al)–Ca4 (the highest Ca content). Adsorption studies reveal that the CO2 adsorption on MIL-96(Al)–Ca1 and MIL-96(Al)–Ca2 at pressures up to 950 kPa is vastly improved due to the enhanced pore volumes compared to MIL-96(Al). The CO2 uptake on these materials measured in the above sequence is 10.22, 9.38 and 8.09 mmol g−1, respectively. However, the CO2 uptake reduces to 5.26 mmol g−1 on MIL-96(Al)–Ca4. Compared with MIL-96(Al)–Ca1, the N2 adsorption in MIL-96(Al)–Ca4 is significantly reduced by 90% at similar operational conditions. At 100 and 28.8 kPa, the selectivity of MIL-96(Al)–Ca4 to CO2/N2 reaches up to 67 and 841.42, respectively, which is equivalent to 5 and 26 times the selectivity of MIL-96(Al). The present findings highlight that MIL-96(Al) with second metal Ca coordination is a potential candidate as an alternative CO2 adsorbent for practical applications.


1. Introduction

Global warming is considered a serious disaster facing our planet. MOFs have been studied extensively for capturing greenhouse gases from gaseous mixtures.1 Capture of these gases by adsorption techniques is practically used in industries. Conventional porous materials such as activated carbon,2 zeolites3 and metal oxides4 are reliable adsorbents to control emission of greenhouse gases into the atmosphere. Recently, metal–organic frameworks (MOFs) have been a hot topic due to their great potential in different industrial applications5 including greenhouse gas storage and separation.6,7 In comparison with conventional materials, these MOF materials have a limited thermal and chemical stability; but possess larger surface areas with tunable pore sizes and pore volumes and facile functionalisation, making them attractive alternative adsorbents to be applied in various environmental fields. MOFs are synthesised by coordinating multidentate organic linkers with transition metal ions (or their clusters) into periodic porous frameworks.8 Popularly, single metal–organic frameworks are based on a transition metal such as Al3+,9 Fe3+,10 Cr3+,11 V3+,12 Zn2+,13,14 Mg2+,15 Mn2+,16 Co3+,7 Cu2+,17 Zr4+[thin space (1/6-em)]18 or Ti4+.19 MOFs are distinguished as porous materials, which can be easily modified to suit various applications.20–22 One of these important modifications is to synthesise MOFs with a diversity of metals accommodated in their structure.23 This modification can be accomplished using two methods called direct synthesis modification (DSM) and post synthesis modification (PSM) for the synthesis of mixed metal–organic frameworks (M-MOFs).24

DSM aims to enhance the textural characteristics and active functionalities of the parent MOFs by adding the second metal and other chemicals in one pot during the synthetic process.25 However, DSM is very limited in preparation of M-MOFs because of the unfavourable existence of the central and second metal in the same reaction pot, which may result in unstable frameworks with weak topologies and functional groups.26 To overcome this problem, suitable metals of similar ionic radii and coordination geometry are considered to maintain the integrity of the structures in M-MOFs during the DSM synthesis. On the other hand, PSM is mostly used in the preparation of M-MOFs for different applications.27 This modification can be achieved by controlling the activation procedure, which can build M-MOFs with well-constructed features.28 The main limitation of this method lies in unmatched physical or chemical properties between the main and the second metals.29 Furthermore, due to the small aperture size and the high steric hindrance within the structures of MOFs, it is difficult to achieve the desirable metal molar ratios by PSM or to attain a uniform distribution of the two metal ions in the final M-MOF, which may lead to undesirable alternation or collapse of the final M-MOF structure.30 Thus DSM can be more reliable to synthesise M-MOF if the selection of a second metal is carefully controlled according to the research target. Likewise, it has been confirmed that the preparation of M-MOFs by using incompatible metals in the direct synthesis results in the formation of a similar structure of the parent MOFs with a very low content of the second metal, but the textural properties and vacant metal sites are enriched.31 Recently, M-MOFs have been synthesised to improve the characteristics of MOFs for use in specific applications such as catalysis,32 sensing, illumines,33 and gas storage.34 In addition, CO2 has been a major component of greenhouse gases that have been hugely emitted from fossil fuel-fired power plants.35 CO2 can be effectively adsorbed and separated from other gas (such as N2) by MOFs or M-MOFs with high selectivity.36 In particular, the direct synthesis of M-MOFs leads to an increase in the concentration of open metal sites or defects to further increase the CO2 uptake and selectivity.37 Furthermore, the selectivity of CO2/N2 is also governed by textural properties and functionalities of MOFs.38 Nowadays, many researchers attempt to modify the recently developed MOFs to enhance the storage capacity of CO2 and simultaneously increase its separation factor from other gases.39 However, there are few studies dedicated to using the second metal to modify MOFs to improve their CO2 adsorption. This is the major motivation of the present study. Recently, a microporous Al trimesate-based MOF, denoted MIL-96-(Al), has attracted intense attention because of its high hydrothermal stability and strong CO2 adsorption capacity caused by the good affinity for CO2 due to the presence of Al Lewis acid sites and bridging –OH groups in the framework.40

In this work, we further improved the performance of MIL-96(Al) for CO2 uptake with enhanced selectivity of CO2/N2 by modifying its textural properties via the introduction of the incompatible metal Ca into the framework. For this purpose, DSM was applied to synthesise MIL-96(Al)–Ca samples using Al3+ as the main metal and Ca2+ as the second one. A series of MIL-96(Al)–Ca samples with different ratios of Ca2+/Al3+ were synthesised and characterised. After Ca coordination, the MIL-96(Al)–Ca samples were activated by methanol to exchange most coordinated Ca2+ and to enhance the concentration of vacant metal sites and defects in the molecular structure of MIL-96(Al)–Ca samples. Subsequently, these specially tailored bimetallic MOFs were tested for CO2 and N2 adsorptions. The present results indicate that MIL-96(Al) with a low Ca content can be used as an excellent adsorbent for capturing CO2; by contrast, MIL-96(Al) with high Ca content can be applied as a novel adsorbent for separating CO2 from N2.

2. Materials and methods

2.1 Materials

All chemicals were supplied from Sigma Aldrich-Australia without further purification including aluminium nitrate nonahydrate (Al(NO3)3·9H2O, ACS reagent, ≥98%), trimesic acid (BTC); 1,3,5-benzenetricarboxylic acid (C9H6O6, 95%), calcium carbonate (CaCO3, ≥99.0%), nitric acid (HNO3, 72%), hydrochloric acid (HCl, 32%), absolute methanol (CH3OH, 99.8%) and absolute ethanol (C2H6O, 99.8%). Deionised water was supplied from the ultra-high pure water system. Teflon-line autoclave – 4744 Acid Digestion Bomb of 125 mL was supplied by John Morris Scientific Pty Ltd-Australia.

2.2 Synthesis procedure

MIL-96(Al) and MIL-96(Al)–CaN (N = 1, 2, 3, 4) were synthesised according to a previously reported typical procedure.41 Al (NO3)3·9H2O (19.69 mmol, 7.39 g) and benzene-1,3,5-tricarboxylic acid (BTC, C9H6O6) (6.32 mmol, 1.33 g) were mixed with 26.93 mL of deionised water inside a 125 mL Teflon container for around 40 min. After that, different amount of calcium carbonate (CaCO3) was added inside the above mixture according to the ratios given in Table S1. Next, the Teflon container was capped and assembled into the steel case with tightly sealing and heated in a preheating oven at 493 K for 48 h. After that, the autoclave was left to cool at the laboratory temperature. Then, the vacuum filtration was done, and the crystalline collected product was washed thoroughly with deionised water. The splashed product was dried under vacuum at laboratory temperature and further dried at 373 K in an oven. The as-synthesised samples were activated by solvent exchange activation as described in the ESI. This method is very active with using methanol as the exchangeable solvent.

2.3 Characterisation

Powder X-ray diffraction (XRD) measurements were taken using a Bruker D8 advance X-ray diffractometer with a Cu-Kα radiation source. A Fourier-transform infrared spectroscopy (FTIR) spectrometer (PerkinElmer) was used to find out Fourier transformer infrared spectra in a wave number ranged from 650 to 4000 cm−1. Thermal behaviour of the samples was determined by a thermogravimetric analysis (TGA) instrument (TGA/DSC1 STARe system-METTLER TOLEDO). The morphological description was achieved by using Zeiss Neon 40EsB FESEM. Elemental analysis of the samples was achieved via the elemental analysis instrument (ICP-OES). More characterisation details can be referred from the ESI section.

2.4 Adsorption study

The CO2 (Laser Grade, 99.995%), He (UHP Grade, 99.999%) and N2 (UHP Grade, 99.999%) gases were supplied from BOC limited in Australia. Tristar-Plus-3020 and ASAP2050 (Micrometrics instruments, USA) were used for CO2 adsorption analysis at atmospheric pressure and high pressure respectively. While N2 adsorption was measured by ASAP2050 at 273 K and 290 kPa. An activated sample (0.09–0.15 g) was firstly dried in the oven for at least 1 h then the empty sample tube was weighed. After that, the dried sample was transferred into a weighed tube. Next, the filled tube was heated at 473 K under a vacuum for 8 h by a sample preparation system (VacPrep 061). Then, the net weight of the degassed sample was calculated. Finally, the degassed sample was analysed by the above instruments using a suitable analysing method. In addition, crushed ice was used to adjust the bath temperature at 273 K while the heating mantle of ASAP2050 was used to adjust other temperatures.

3. Results and discussions

3.1 Characterisations of MIL-96(Al) and a series of MIL-96(Al)–Ca samples

Elemental analysis via the ICP instrument indicates that the four samples of MIL-96(Al)–CaN (N = 1, 2, 3, 4) after activation process have the Ca2+/Al3+ mole ratios of 0.09, 0.32, 0.74 and 1.4%, respectively, as shown in Table S1. The trace Ca content in the sample is possibly due to the Ca leaching out from the MOF structure during the methanol exchange activation process. The X-ray powder diffraction (XRPD) patterns of MIL-96(Al) and MIL-96(Al)–Ca samples are shown in Fig. 1a. The patterns demonstrate a high similarity in the MIL-96(Al) structure as reported previously.42 However, as the molar ratios of Ca2+/Al3+ in MIL-96(Al)–Ca3 and MIL-96(Al)–Ca4 increase, some defects are observed. As shown in the pattern of MIL-96(Al)–Ca3, the positions of the peaks overlap with the peaks in other samples but their intensity is significantly reduced, which is the prominent evidence of reducing the crystal size to nanometer range.43 Further justification could be that the second metal would cause the defects if it is incompatible with the main metal as these two metals have different coulombic charges and ionic sizes.44 FTIR spectra of MIL-96(Al)–Ca samples and MIL-96(Al) are shown in Fig. 1b. It can be seen that the infrared band at 1630 and 1332 cm−1 is allocated to the OH group bending in the plane of MIL-96(Al), MIL-96(Al)–Ca1 and MIL-96(Al)–Ca2. While this band disappears in the spectra of MIL-96(Al)–Ca3 and MIL-96(Al)–Ca4 of higher Ca2+ content. This observation might be attributed to the further interaction of OH bending with Ca2+ in the metal centre instead of its interaction with OH group of non-coordinated BTC molecules inside the pores.45 The spectrum of carboxylic groups in the BTC is usually seen in the spectral range from 1200 to 1700 cm−1. Specifically, protonated BTC restricted in the structure is detected at the band of 1684 cm−1 in the MIL-96(Al) and MIL-96(Al)–Ca1 while this is merged with the band of carboxylic group in the deprotonated BTC in other samples of higher Ca2+ content. Likewise, the vibrations of asymmetric and symmetric stretching COO of Al-carboxylate groups in the deprotonated BTC at the activated MIL-96(Al)–Ca and the parent sample are displayed in two pairs of the peaks. The first one is at 1660 and 1456 cm−1 as shown in the spectra of MIL-96(Al)–Ca except that in the spectrum of MIL-96(Al)–Ca3 the first peak in this pair is seen at 1624 cm−1; and the second pair is at 1598 and 1396 cm−1 in parent sample while these peaks shift to 1600 and 1400 cm−1 in MIL-96(Al)–Ca1 and MIL-96(Al)–Ca2; and shifts to 1567 and 1399 cm−1, and 1578 and 1395 cm−1 in MIL-96(Al)–Ca3 and MIL-96(Al)–Ca4 respectively.41 The spectrum of MIL-96(Al)–Ca3 is more affected because its crystal sizes are very fine. Consequently, the intensities of the peaks are reduced and shifted. Moreover, the peaks at 760 and 735 cm−1 are assigned to C–H out the plane of the BTC ring via the structures of the MOFs.46 The vibration band at 687 cm−1 is assigned to O–Al–O or O–(Ca) Al–O. This peak is attenuated as the Ca2+ content increased. It seems that the vibrational motion of Al centre is changed because Ca2+ occupies some active sites of aluminium cluster.
image file: d0ra00305k-f1.tif
Fig. 1 (a) XRPD profiles, (b) FTIR spectra, and (c) thermogravimetric analysis of MIL-96-Ca samples and MIL-96(Al).

Thermal gravimetric analysis (TGA) profiles presented in Fig. 1c show that all samples have similar thermal stability. More specifically, the thermal profiles have exposed three steps of weight loss, the first step being around 373 K, which can be attributed to evaporation of the moisture during heating to the boiling point of water.47 The second step is caused by the burning of restricted molecules of the protonated BTC inside the pores. Also, this step might be affected by a coordinated Ca2+ in the metal centres, which is clearly seen at around 600 K in the parent sample as shown in the previous studies.41 As the Ca2+ content in the main structures increase, this step shifts to a higher temperature until it disappears in the thermal profile of MIL-96(Al)–Ca4 that confirms, higher content of Ca in the structure displaces the restricted free BTC out of the pores. Eventually, the third step represents the weight loss due to collapsing the whole structure at around 830 K because the connections between the linkers and the metal centres were broken.

Fig. 2a–e shows the morphological descriptions of MIL-96(Al)–Ca1, MIL-96(Al)–Ca2, MIL-96(Al)–Ca3, MIL-96(Al)–Ca4 and MIL-96(Al) sequentially. The Ca incorporation demonstrates an obvious effect in crystal size and morphology. Although the morphology of MIL-96(Al)–Ca1 in Fig. 2a shows a hexagonal rod capped by two hexagonal bipyramids likes what the parent sample (MIL-96(Al)) displays in Fig. 2e and the length of its crystals have significantly reduced. More specifically, crystals of the parent sample had lengths ranged from 5 to 12 μm, and diameters ranged from 2 to 5 μm whereas the lengths of the crystals of MIL-96(Al)–Ca1 appear much shorter (in the range of 2 to 8 μm). Moreover, the general morphological description of MIL-96(Al)–Ca2 remains as the morphology of the parent sample, whereas the diameter of the rod significantly reduces to 100 nm as shown in Fig. 2b. In addition, Fig. 2c shows that the shape of the crystals in MIL-96(Al)–Ca3 is a long rod with a very thin diameter (from 25 to 75 nm) lacking the hexagonal bipyramid on its ends. In contrast, Fig. 2d demonstrates a different morphology in MIL-96(Al)–Ca4 that is a thin hexagonal platelet (disk) with a diameter ranged from 10 to 20 μm and a thickness in a few nm. Remarkably, DSM can produce various morphological views and crystal sizes when the conditions of the synthesis are changed such as temperature, time and solvent.48 In this study, using Ca2+ as the second metal in the single pot synthesis caused the significant change in the morphology because it is directly affected the crystal anisotropy.49


image file: d0ra00305k-f2.tif
Fig. 2 SEM images of (a) MIL-96(Al)–Ca1, (b) MIL-96(Al)–Ca2, (c) MIL-96(AL)–Ca3, (d) MIL-96(Al)–Ca4, and (e) MIL-96(Al).

This study confirms that the solvent exchange activation plays a main role in enhancing the textural properties by opening the metal sites of the prepared MIL-96(Al)–Ca samples. There are two reasons to justify this statement. One is the variety of the ionic sizes and valence numbers of Al3+ and Ca2+ and another is the efficiency of the activation process. Therefore, the second metal (Ca2+) does not replace the main metal (Al3+) as schematically shown in Fig. 3a and b, but it might coordinate with an active site of Al3+ metal centre (Fig. 3b). The methanol exchange activation is a very reliable method to leach out most coordinated Ca2+ by methanol leaving the opened metal sites for gas capture (Fig. 3c). However, the activated MIL-96(Al)–Ca samples still have traces of Ca2+ in the final products as presented in Table S1.


image file: d0ra00305k-f3.tif
Fig. 3 Framework of MIL-96-(Al) along the a axis (a); framework of MIL-96-(Al)–Ca (b) and framework of MIL-96-(Al)–Ca with CO2 or N2 capture (c).

3.2 CO2 and N2 adsorption behavior

The N2 adsorption/desorption isotherms at 77 K, micropore distribution and mesopore distribution of the MIL-96(Al)–Ca samples compared to the parent sample are shown in Fig. 4a–c. For each sample shown in Fig. 4a, a different hysteresis is obtained due to the presence of different pore sizes, including micropores and mesopores or their combined pores. Thus, it is expected that the slow desorption mechanism (percolation theory) might happen.50 Moreover, as shown in Table 1, the macropore content is remarkably increased as the content of Ca2+ is enhanced by more than 0.09%, and it is approved by a sharp increase of N2 adsorption when the pressure approached the atmospheric pressure. This is similar behaviour to that of MIL-100(Fe)–Ca in our previous work.31
image file: d0ra00305k-f4.tif
Fig. 4 N2 adsorption/desorption isotherm (a), micropore distribution (b) and mesopore distribution (c) of MIL-96(Al)–Ca samples and MIL-96(Al).
Table 1 Textural properties of MIL-96-Ca samples and MIL-96(Al)
Adsorbents SBET (m2 g−1) Average pore size (nm) Pore volume (cm3 g−1) Micropore content%
MIL-96(Al) 629.98 1.52 0.24 94.0
MIL-96(Al)–Ca1 754.57 1.60 0.30 92.3
MIL-96(Al)–Ca2 594.15 2.15 0.32 88.0
MIL-96(Al)–Ca3 660.26 3.21 0.53 76.5
MIL-96(Al)–Ca4 57.85 10.0 0.15 8.40


In addition, a significant change is observed in N2 adsorption of MIL-96(Al)–Ca4 which exhibits a larger hysteresis loop than other samples due to the majority of the mesopore and macropore in its structure. Fig. 4b shows the micropore distribution of MIL-96(Al)–Ca 1, 2, 3 and 4 compared to the parent sample. The availability of the smallest pore is seen in the samples of lower Ca2+ content, the pore diameter is 0.6 and 0.8 nm in MIL-96(Al)–Ca1 and MIL-96(Al)–Ca2 respectively. On the other hand, the micropore diameter in MIL-96(Al)–Ca3 remains at 1.4 nm in the parent sample and increases to 1.8 nm in MIL-96(Al)–Ca4.

The mesopore size distribution curves presented in Fig. 4c clearly show that both of the parent sample and MIL-96(Al)–Ca2 exposed very low cumulative volume (<0.0005 cm3 g−1) in a single unique peak of pore size centred at 4 and 13 nm respectively. MIL-96(Al)–Ca2 demonstrates the largest mesopore diameter with the lowest in the cumulative volume. Whereas in MIL-96(Al)–Ca1, the maximum cumulative volume is doubled (0.001 cm3 g−1) in smaller mesopore diameter of 3 nm, and that volume increases in MIL-96(Al)–Ca3 (0.0027 cm3 g−1) and MIL-96(Al)–Ca4 (0.0013 cm3 g−1) at mesopore diameter of 4 and 5 nm respectively. As a result, both population and the length of mesopore are significantly enhanced in the samples of the higher Ca2+ content.51,52

Table 1 illustrates the BET surface areas, average pore sizes, pore volumes, micropore contents. Recognisably, the BET surface area increases at the lowest loading of Ca2+ (0.09%) in MIL-96(Al)–Ca1, but it is declines at the highest Ca2+ content (1.4%) in MIL-96(Al)–Ca4. The BET surface areas are 629.98, 754.57, 594.15, 660.26 and 57.85 m2 g−1 in MIL-96(Al), MIL-96(Al)–Ca1, MIL-96(Al)–Ca2, MIL-96(Al)–Ca3 and MIL-96(Al)–Ca4, respectively while the average pore size in those samples are 1.52, 1.60, 2.15, 3.21 and 10 nm for the same order of the samples. The pore diameter in MIL-96(Al)–Ca4 is significantly higher than other samples. This can be interpreted by the expansion of a cage size, which is governed by the number of vertices and their connectivity. Therefore, the larger pore is possible to be dominated when the connectivity of vertices is reduced.53 It means when some of the active Al3+ sites are occupied by Ca2+, some of the vertices may lose some of their connectivity. Consequently, further enhancement in the pore size may occur when the Ca2+ are desolvated via the activation process. However, the pore volume is increased to 0.3, 0.32 and 0.53 cm3 g−1 in MIL-96(Al)–Ca1, MIL-96(Al)–Ca2 and MIL-96(Al)–Ca3 respectively, which is higher than the pore volume in MIL-96(Al) and reduced to 0.151 cm3 g−1 in MIL-96(Al)–Ca4 due to its lowest surface area. Finally, the microporosity is significantly decreased when the concentration of Ca2+ is raised to 1.4%. Hence, the micropore content is dropped from 94% in the parent sample to 8.4% in MIL-96(Al)–Ca4.

Fig. 5a shows the CO2 adsorption at 273 K and high pressure up to 950 kPa. It is noticed that the CO2 adsorption capacity is 8.09 mmol g−1 in the parent sample. Whereas this noticeably enhanced in MIL-96(Al)–Ca1, MIL-96(Al)–Ca2 and MIL-96(Al)–Ca3 as it is 10.22, 9.38 and 8.64 mmol g−1 respectively. However, CO2 adsorption decreases to about 5.26 mmol g−1 in MIL-96(Al)–Ca4 because further increasing in Ca2+ content leads to decrease in the BET surface area, pore-volume, micropore content.54 It seems that the pore volume expands when the high pressure is applied. Therefore, CO2 uptake is dramatically increased in the MIL-96(Al)–Ca samples with the Ca2+ content lower than 0.74%. Systematically, the CO2 adsorption in microporous materials increases when the pore volume and BET surface area are augmented and vice versa.55 It can be confirmed from Table 2 that the adsorption of CO2 is significantly boosted in most of the MOFs in this work and typically in MIL-96(Al)–Ca1 and MIL-96(Al)–Ca2. Although, almost all samples in the tabulated references have higher surface areas, they present lower CO2 adsorption capacity than the present work listed samples. Fig. 5b shows that the isosteric heat of CO2 adsorption changes depending on the CO2 coverages in MIL-96(Al)–Ca samples. The heat of adsorption is reduced with increasing the Ca2+ content. Generally, in the sample of the lowest Ca2+ content, the heat of adsorption slightly changes when the coverage of CO2 increases. More specifically, MIL-96(Al)–Ca1 and MIL-96(Al) have exposed similar heat of CO2 adsorption as it is 23 kJ mol−1 at CO2 coverage of 60 mmol g−1. In contrast, the heat of CO2 adsorption in MIL-96(Al)–Ca2 and MIL-96(Al)–Ca3 obviously decrease to 20 and 19 kJ mol−1 respectively. However, MIL-96(Al)–Ca4 shows a different behavior, the heat of adsorption is decreased further than that in MIL-96(Al)–Ca3 when the coverage of CO2 ranges from 10 to 38 mmol g−1, then it is increased over than both of MIL-96(Al)–Ca2 and MIL-96(Al)–Ca3 at a higher coverage of CO2. This heat of CO2 adsorption is 18 kJ mol−1 at CO2 coverage of 10 mmol g−1 and is 22 kJ mol−1 at CO2 coverage of 55 mmol g−1.


image file: d0ra00305k-f5.tif
Fig. 5 (a) CO2 adsorption at 273 K (b) heat of CO2 adsorption (c) N2 adsorption at 273 K, and (d) selectivity of CO2/N2 at STP in MIL-96(Al)–Ca samples and MIL-96(Al).
Table 2 The selectivity of the different adsorbents in comparison with MIL-96(Al)–Ca samples in this work
MOFs Temperature (K) Pressure (kPa) CO2 adsorption capacity mmol g−1 Selectivity (CO2/N2) at 100 kPa Specific surface area (m2 g−1) Reference
Zeolite 13X 298 1000 6.5 7 61
Activated carbon 293 600 4.6 6.5 483 62
Activated carbon beads 293 1000 7.5 1457 63
MOF-5 297 1000 ≈8 6 64
UiO-67 298 100 1.02 9.65 2505 65
UiO-66-NO2-(OH)2 298 900 5.6   732 66
Amino-UiO-66 298 500 5.5 31 1258 67
HKUST-1 305 500 1.75 1387.54 68
DUT-52 298 1000 6 1615 69
UiO-66(Zr) 293 1000 4.5 1125 70
MIL-53(Al) 303 1000 4.8 ≈7.8 71
MOF-177 298 100 1.7 17 72
MOF-505 298 100 2.87 7.6 1104 73
In(III)/Pd(II)-MOF 273 100 4.1 18 795 74
MIL-101 (Cr, Mg) 298 100 3.25 3274 75
MOF 1-Co (Zn, Co) 273 100 2.45 3099 76
MIL-96(Al) 273 950 8.09 13.46 629.98 This work
MIL-96(Al)–Ca1 273 950 10.22 11.68 754.57 This work
MIL-96(Al)–Ca2 273 950 9.38 12 594.15 This work
MIL-96(Al)–Ca3 273 950 8.64 13.08 660.26 This work
MIL-96(Al)–Ca4 273 950 5.26 60.26 57.85 This work


The adsorption of CO2 and heat of adsorption are profoundly affected by functionalities and sizes of the pores. Furthermore, heterogeneity of the pores can be dominated in mesoporous materials.56 As a result, the homogenous adsorption can be anticipated to occur in the microporous adsorbents such as MIL-96(Al), MIL-96(Al)–Ca1 and MIL-96(Al)–Ca2 due to the homogeneity of the fine pores. Accordingly, the heat of CO2 adsorption is approximately uniform in those adsorbents.

The N2 adsorption capacities of MIL-96(Al)–Ca samples and the parent sample at extended pressure up to about 290 kPa are illustrated in Fig. 5c. Similarly, to the CO2 adsorption, the highest N2 adsorption is seen in MIL-96(Al)–Ca1. This material adsorbs 1.2 mmol g−1 of N2, which is higher than that of the parent sample and other MIL-96(Al)–Ca samples. Remarkably, N2 adsorption on MIL-96(Al)–Ca4 is very low (0.12 mmol g−1) due to the high average pore size.57 However, when the materials are ultrafine microporous as in the parent sample and MIL-96(Al)–Ca1 of smaller pores, the adsorption affinity of N2 molecules towards the surfaces of the pores is dramatically enhanced. In other words, the molecules of N2 can be actively interacted with the surface of the pores, as well as with each other due to the very limited space in the micropore.

In large pores, the interactions between the N2 molecules themselves are not likely to happen at normal temperatures. Also, in these conditions, the N2 molecules are weakly attached to the adsorption sites on the adsorbents because N2 molecules have a low quadrupole moment and low polarisability in addition to absence of the intensive electric field inside the large pores.58 Therefore, the adsorption capacities of N2 are extremely lower than those of CO2, which has much higher quadrupole moment and polarisability and lower kinetic diameter. The selectivity of CO2 over N2 at 100 kPa and 273 K is shown in Fig. 5d. In general, MIL-96(Al)–Ca4 presents significant separation factor among other samples in this study. The selectivity of CO2/N2 at 1 bar and 273 K is 13.46 in MIL-96(Al) while it is 11.68, 12, 13.08, and 60.26 in MIL-96(Al)–Ca1, MIL-96(Al)–Ca2, MIL-96(Al)–Ca3 and MIL-96(Al)–Ca4, respectively. In addition, when the pressure is far less than the atmospheric pressure, the selectivity is 80.53 (0.13 kPa), 113.15 (0.20 kPa), 77.51 (0.28 kPa), 53.60 (0.38 kPa) and 841.42 (28.80 kPa) in MIL-96(Al), MIL-96(Al)–Ca1, MIL-96(Al)–Ca2, MIL-96(Al)–Ca3 and MIL-96(Al)–Ca4, respectively. Notably, the selectivity on MIL-96(Al)–Ca4 at STP increases to around 5 times more than what is obtained on the parent sample and that reaches to about 26 times at 28.80 kPa.

It is clearly observed that a further increase in the pore size has significantly participated in enhancing the selectivity of CO2/N2 on MIL-96(Al)–Ca4. The improvement of this selectivity is because CO2 has higher polarisability, a higher quadrupole moment and a lower kinetic diameter. These parameters can highly enhance the adsorption of CO2 in the microporous and mesoporous materials with high superiority of adsorption in the ultrafine-microporous adsorbents.59 On the other hand, as it was mentioned above, the N2 molecule at STP conditions has very low affinity to be adsorbed in the porous materials with a majority of larger mesopore.38,58 However, although the microporous content, BET and CO2 adsorption is very low in MIL-96(Al)–Ca4, the affinity of this adsorbent for CO2 is much higher than that of N2 due to presence the Lewis base-calcium oxide coordinated on the metal center60. Thus, it produces a very high selectivity compared to other adsorbents reported in the literature as shown in Table 2.

4. Conclusions

Four samples of MIL-96(Al)–Ca and MIL-96(Al) were successfully synthesised, namely MIL-96(Al)–Ca1, MIL-96(Al)–Ca2, MIL-96(Al)–Ca3 and MIL-96(Al)–Ca4 with different Ca content. They were well characterised and used for CO2 and N2 adsorption. It was found that Ca2+ content in the final product is very low due to the incompatibility in the ionic size of Al3+ and Ca2+ and the high performance of the methanol exchange activation, but influencing the CO2 capture and selectivity significantly. The results reveal that CO2 adsorption is enhanced as the Ca2+ content increases up to 0.09% while it significantly dropped when the Ca2+ content reaches 1.4%. Moreover, the N2 adsorption sharply reduces when the Ca2+ content increases in MIL-96(Al)–Ca3 and MIL-96(Al)–Ca4. Consequently, the selectivity of CO2/N2 in MIL-96(Al)–Ca4 increases by a factor of 5 compared to MIL-96(Al). The present results suggest that MIL-96(Al)–Ca1 is a potential candidate for adsorption of CO2 while MIL-96(Al)–Ca4 is an excellent adsorbent for separation of CO2 from N2. These adsorbents may also have high potential usage for water treatment, deserving further investigations.

Conflicts of interest

The authors declare no conflict of interest.

Acknowledgements

Special thanks to Mr Jason Wright and Ms Roshanak Doroushi in the Chemical Engineering Department and Ms Elaine Miller in John de Laeter Centre at Curtin University for their technical assistance. We thank the Australian Research Council (ARC) for the partial financial support under project DP170104264.

References

  1. J.-R. Li, R. J. Kuppler and H.-C. Zhou, Chem. Soc. Rev., 2009, 38, 1477–1504 RSC.
  2. M. Pellerano, P. Pré, M. Kacem and A. Delebarre, Energy Procedia, 2009, 1, 647–653 CrossRef CAS.
  3. M. A. Hernandez, A. Pestryakov, R. Portillo, M. A. Salgado, F. Rojas, E. Rubio, S. Ruiz and V. Petranovskii, Procedia Chem., 2015, 15, 33–41 CrossRef CAS.
  4. L. K. G. Bhatta, U. M. Bhatta and K. Venkatesh, in Sustainable Agriculture Reviews 38: Carbon Sequestration Vol. 2, Materials and Chemical Methods, ed. E. Inamuddin, A. M. Asiri and E. Lichtfouse, Springer International Publishing, Cham, 2019, pp. 63–83,  DOI:10.1007/978-3-030-29337-6_3.
  5. N. Stock and S. Biswas, Chem. Rev., 2012, 112, 933–969 CrossRef CAS PubMed.
  6. H. Li, K. Wang, Y. Sun, C. T. Lollar, J. Li and H.-C. Zhou, Mater. Today, 2018, 21, 108–121 CrossRef CAS.
  7. T. Grant Glover, G. W. Peterson, B. J. Schindler, D. Britt and O. Yaghi, Chem. Eng. Sci., 2011, 66, 163–170 CrossRef CAS.
  8. H.-C. Zhou, J. R. Long and O. M. Yaghi, Chem. Rev., 2012, 112, 673–674 CrossRef CAS PubMed.
  9. E. Stavitski, E. A. Pidko, S. Couck, T. Remy, E. J. M. Hensen, B. M. Weckhuysen, J. Denayer, J. Gascon and F. Kapteijn, Langmuir, 2011, 27, 3970–3976 CrossRef CAS PubMed.
  10. P. Horcajada, S. Surble, C. Serre, D.-Y. Hong, Y.-K. Seo, J.-S. Chang, J.-M. Greneche, I. Margiolaki and G. Ferey, Chem. Commun., 2007, 2820–2822,  10.1039/b704325b.
  11. L. Liu, X. Guan, Z. Li, X. Zi, H. Dai and H. He, Appl. Catal., B, 2009, 90, 1–9 CrossRef CAS.
  12. L. Hamon, C. Serre, T. Devic, T. Loiseau, F. Millange, G. Férey and G. D. Weireld, J. Am. Chem. Soc., 2009, 131, 8775–8777 CrossRef CAS PubMed.
  13. S. S. Kaye, A. Dailly, O. M. Yaghi and J. R. Long, J. Am. Chem. Soc., 2007, 129, 14176–14177 CrossRef CAS PubMed.
  14. E. Andres-Garcia, J. López-Cabrelles, L. Oar-Arteta, B. Roldan-Martinez, M. Cano-Padilla, J. Gascon, G. Mínguez Espallargas and F. Kapteijn, Chem. Eng. J., 2019, 371, 848–856 CrossRef CAS.
  15. D.-A. Yang, H.-Y. Cho, J. Kim, S.-T. Yang and W.-S. Ahn, Energy Environ. Sci., 2012, 5, 6465–6473 RSC.
  16. R. Ricco, C. Pfeiffer, K. Sumida, C. J. Sumby, P. Falcaro, S. Furukawa, N. R. Champness and C. J. Doonan, CrystEngComm, 2016, 18, 6532–6542 RSC.
  17. B. Panella, M. Hirscher, H. Pütter and U. Müller, Adv. Funct. Mater., 2006, 16, 520–524 CrossRef CAS.
  18. H. R. Abid, H. Tian, H.-M. Ang, M. O. Tade, C. E. Buckley and S. Wang, Chem. Eng. J., 2012, 187, 415–420 CrossRef CAS.
  19. Z. H. Rada, H. R. Abid, J. Shang, Y. He, P. Webley, S. Liu, H. Sun and S. Wang, Fuel, 2015, 160, 318–327 CrossRef CAS.
  20. B. Liu, K. Vellingiri, S.-H. Jo, P. Kumar, Y. S. Ok and K.-H. Kim, Nano Res., 2018, 11, 4441–4467 CrossRef CAS.
  21. H. Furukawa, K. E. Cordova, M. O'Keeffe and O. M. Yaghi, Science, 2013, 341, 1230444 CrossRef PubMed.
  22. S. Basu, A. Cano-Odena and I. F. J. Vankelecom, Sep. Purif. Technol., 2011, 81, 31–40 CrossRef CAS.
  23. D. Sun, F. Sun, X. Deng and Z. Li, Inorg. Chem., 2015, 54, 8639–8643 CrossRef CAS PubMed.
  24. X. Yang and Q. Xu, Cryst. Growth Des., 2017, 17, 1450–1455 CrossRef CAS.
  25. S. R. Jambovane, S. K. Nune, R. T. Kelly, B. P. McGrail, Z. Wang, M. I. Nandasiri, S. Katipamula, C. Trader and H. T. Schaef, Sci. Rep., 2016, 6, 36657 CrossRef CAS PubMed.
  26. S. Yuan, J.-S. Qin, J. Li, L. Huang, L. Feng, Y. Fang, C. Lollar, J. Pang, L. Zhang, D. Sun, A. Alsalme, T. Cagin and H.-C. Zhou, Nat. Commun., 2018, 9, 808 CrossRef PubMed.
  27. R. Zou, P. Z. Li, Y. F. Zeng, J. Liu, R. Zhao, H. Duan, Z. Luo, J. G. Wang, R. Zou and Y. Zhao, Small, 2016, 12, 2334–2343 CrossRef CAS PubMed.
  28. W. M. Bloch, R. Babarao, M. R. Hill, C. J. Doonan and C. J. Sumby, J. Am. Chem. Soc., 2013, 135, 10441–10448 CrossRef CAS PubMed.
  29. S. Yuan, J.-S. Qin, C. T. Lollar and H.-C. Zhou, ACS Cent. Sci., 2018, 4, 440–450 CrossRef CAS PubMed.
  30. X. Zhang, J. Luo, K. Wan, D. Plessers, B. Sels, J. Song, L. Chen, T. Zhang, P. Tang, J. R. Morante, J. Arbiol and J. Fransaer, J. Mater. Chem. A, 2019, 7, 1616–1628 RSC.
  31. M. Al Haydar, H. R. Abid, B. Sunderland and S. Wang, Drug Des., Dev. Ther., 2019, 13, 23 CrossRef CAS PubMed.
  32. X.-F. Lu, L.-F. Gu, J.-W. Wang, J.-X. Wu, P.-Q. Liao and G.-R. Li, Adv. Mater., 2017, 29, 1604437 CrossRef PubMed.
  33. S.-R. Zhang, D.-Y. Du, J.-S. Qin, S.-L. Li, W.-W. He, Y.-Q. Lan and Z.-M. Su, Inorg. Chem., 2014, 53, 8105–8113 CrossRef CAS PubMed.
  34. Q.-G. Zhai, X. Bu, C. Mao, X. Zhao and P. Feng, J. Am. Chem. Soc., 2016, 138, 2524–2527 CrossRef CAS PubMed.
  35. A. S. Bhown and B. C. Freeman, Environ. Sci. Technol., 2011, 45, 8624–8632 CrossRef CAS PubMed.
  36. Z. Zhang, Y. Zhao, Q. Gong, Z. Li and J. Li, Chem. Commun., 2013, 49, 653–661 RSC.
  37. X. Lv, L. Li, S. Tang, C. Wang and X. Zhao, Chem. Commun., 2014, 50, 6886–6889 RSC.
  38. V. P. Mulgundmath, F. H. Tezel, T. Saatcioglu and T. C. Golden, Can. J. Chem. Eng., 2012, 90, 730–738 CrossRef CAS.
  39. B. Li, Z. Zhang, Y. Li, K. Yao, Y. Zhu, Z. Deng, F. Yang, X. Zhou, G. Li and H. Wu, Angew. Chem., Int. Ed., 2012, 51, 1412–1415 CrossRef CAS PubMed.
  40. M. Benzaqui, R. S. Pillai, A. Sabetghadam, V. Benoit, P. Normand, J. Marrot, N. Menguy, D. Montero, W. Shepard, A. Tissot, C. Martineau-Corcos, C. Sicard, M. Mihaylov, F. Carn, I. Beurroies, P. L. Llewellyn, G. De Weireld, K. Hadjiivanov, J. Gascon, F. Kapteijn, G. Maurin, N. Steunou and C. Serre, Chem. Mater., 2017, 29, 10326–10338 CrossRef CAS.
  41. H. R. Abid, Z. H. Rada, J. Shang and S. Wang, Polyhedron, 2016, 120, 103–111 CrossRef CAS.
  42. T. Loiseau, L. Lecroq, C. Volkringer, J. Marrot, G. Férey, M. Haouas, F. Taulelle, S. Bourrelly, P. L. Llewellyn and M. Latroche, J. Am. Chem. Soc., 2006, 128, 10223–10230 CrossRef CAS PubMed.
  43. H. R. Abid, H. M. Ang and S. Wang, Nanoscale, 2012, 4, 3089–3094 RSC.
  44. A. Dhakshinamoorthy, A. M. Asiri and H. Garcia, Catal. Sci. Technol., 2016, 6, 5238–5261 RSC.
  45. S. Kumar and S. Rai, Indian J. Pure Appl. Phys., 2010, 48, 251–255 CAS.
  46. N. R. Dhumal, M. P. Singh, J. A. Anderson, J. Kiefer and H. J. Kim, J. Phys. Chem. C, 2016, 120, 3295–3304 CrossRef CAS.
  47. V. Benoit, N. Chanut, R. S. Pillai, M. Benzaqui, I. Beurroies, S. Devautour-Vinot, C. Serre, N. Steunou, G. Maurin and P. L. Llewellyn, J. Mater. Chem. A, 2018, 6, 2081–2090 RSC.
  48. A. Knebel, S. Friebe, N. C. Bigall, M. Benzaqui, C. Serre and J. r. Caro, ACS Appl. Mater. Interfaces, 2016, 8, 7536–7544 CrossRef CAS PubMed.
  49. D. Liu, Y. Liu, F. Dai, J. Zhao, K. Yang and C. Liu, Dalton Trans., 2015, 44, 16421–16429 RSC.
  50. A. Grosman and C. Ortega, Langmuir, 2008, 24, 3977–3986 CrossRef CAS PubMed.
  51. J. C. Groen, L. A. A. Peffer and J. Pérez-Ramírez, Microporous Mesoporous Mater., 2003, 60, 1–17 CrossRef CAS.
  52. S. Lowell, J. E. Shields, M. A. Thomas and M. Thommes, Characterization of porous solids and powders: surface area, pore size and density, Springer Science & Business Media, 2012 Search PubMed.
  53. Q. Liu, Y. Song, Y. Ma, Y. Zhou, H. Cong, C. Wang, J. Wu, G. Hu, M. O'Keeffe and H. Deng, J. Am. Chem. Soc., 2019, 141, 488–496 CrossRef CAS PubMed.
  54. L. Chen, T. Watanabe, H. Kanoh, K. Hata and T. Ohba, Adsorpt. Sci. Technol., 2018, 36, 625–639 CrossRef CAS.
  55. H. R. Abid, Z. H. Rada, X. Duan, H. Sun and S. Wang, Energy Fuels, 2017, 32, 4502–4510 CrossRef.
  56. M. Kruk, M. Jaroniec and A. Sayari, J. Phys. Chem. B, 1997, 101, 583–589 CrossRef CAS.
  57. Y. Belmabkhout and A. Sayari, Adsorption, 2009, 15, 318–328 CrossRef CAS.
  58. B. Liu and B. Smit, Langmuir, 2009, 25, 5918–5926 CrossRef CAS PubMed.
  59. C. A. Trickett, A. Helal, B. A. Al-Maythalony, Z. H. Yamani, K. E. Cordova and O. M. Yaghi, Nat. Rev. Mater., 2017, 2, 17045 CrossRef CAS.
  60. A. Granados-Pichardo, F. Granados-Correa, V. Sánchez-Mendieta and H. Hernández-Mendoza, Arabian J. Chem., 2020, 13, 171–183 CrossRef.
  61. S. Cavenati, C. A. Grande and A. E. Rodrigues, J. Chem. Eng. Data, 2004, 49, 1095–1101 CrossRef CAS.
  62. R. P. Ribeiro, T. P. Sauer, F. V. Lopes, R. F. Moreira, C. A. Grande and A. E. Rodrigues, J. Chem. Eng. Data, 2008, 53, 2311–2317 CrossRef CAS.
  63. Y.-J. Wu, Y. Yang, X.-M. Kong, P. Li, J.-G. Yu, A. M. Ribeiro and A. E. Rodrigues, J. Chem. Eng. Data, 2015, 60, 2684–2693 CrossRef CAS.
  64. F. A. Kloutse, A. Hourri, S. Natarajan, P. Benard and R. Chahine, Sep. Purif. Technol., 2018, 197, 228–236 CrossRef CAS.
  65. B. Wang, H. Huang, X.-L. Lv, Y. Xie, M. Li and J.-R. Li, Inorg. Chem., 2014, 53, 9254–9259 CrossRef CAS PubMed.
  66. Z. H. Rada, H. R. Abid, J. Shang, H. Sun, Y. He, P. Webley, S. Liu and S. Wang, Ind. Eng. Chem. Res., 2016, 55, 7924–7932 CrossRef CAS.
  67. H. Molavi, A. Eskandari, A. Shojaei and S. A. Mousavi, Microporous Mesoporous Mater., 2018, 257, 193–201 CrossRef CAS.
  68. Y. Zhao, Y. Cao and Q. Zhong, J. Clean Energy Technol., 2014, 2, 34–37 CrossRef CAS.
  69. J. H. Cavka, C. A. Grande, G. Mondino and R. Blom, Ind. Eng. Chem. Res., 2014, 53, 15500–15507 CrossRef CAS.
  70. M. A. Rodrigues, J. d. S. Ribeiro, E. d. S. Costa, J. L. d. Miranda and H. C. Ferraz, Sep. Purif. Technol., 2018, 192, 491–500 CrossRef CAS.
  71. B. C. R. Camacho, R. P. P. L. Ribeiro, I. A. A. C. Esteves and J. P. B. Mota, Sep. Purif. Technol., 2015, 141, 150–159 CrossRef CAS.
  72. D. Saha, Z. Bao, F. Jia and S. Deng, Environ. Sci. Technol., 2010, 44, 1820–1826 CrossRef CAS PubMed.
  73. Y. Chen, D. Lv, J. Wu, J. Xiao, H. Xi, Q. Xia and Z. Li, Chem. Eng. J., 2017, 308, 1065–1072 CrossRef CAS.
  74. I. Bratsos, C. Tampaxis, I. Spanopoulos, N. Demitri, G. Charalambopoulou, D. Vourloumis, T. A. Steriotis and P. N. Trikalitis, Inorg. Chem., 2018, 57, 7244–7251 CrossRef CAS PubMed.
  75. Z. Zhou, L. Mei, C. Ma, F. Xu, J. Xiao, Q. Xia and Z. Li, Chem. Eng. Sci., 2016, 147, 109–117 CrossRef CAS.
  76. R. Zou, P.-Z. Li, Y.-F. Zeng, J. Liu, R. Zhao, H. Duan, Z. Luo, J.-G. Wang, R. Zou and Y. Zhao, Small, 2016, 12, 2334–2343 CrossRef CAS PubMed.

Footnote

Electronic supplementary information (ESI) available. See DOI: 10.1039/d0ra00305k

This journal is © The Royal Society of Chemistry 2020
Click here to see how this site uses Cookies. View our privacy policy here.