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Review
. 2020 Jul 10;5(28):16987-17004.
doi: 10.1021/acsomega.0c02218. eCollection 2020 Jul 21.

Metrics for Evaluation and Screening of Metal-Organic Frameworks for Applications in Mixture Separations

Affiliations
Review

Metrics for Evaluation and Screening of Metal-Organic Frameworks for Applications in Mixture Separations

Rajamani Krishna. ACS Omega. .

Abstract

For mixture separations, metal-organic frameworks (MOFs) are of practical interest. Such separations are carried out in fixed bed adsorption devices that are commonly operated in a transient mode, utilizing the pressure swing adsorption (PSA) technology, consisting of adsorption and desorption cycles. The primary objective of this article is to provide an assessment of the variety of metrics that are appropriate for screening and ranking MOFs for use in fixed bed adsorbers. By detailed analysis of several mixture separations of industrial significance, it is demonstrated that besides the adsorption selectivity, the performance of a specific MOF in PSA separation technologies is also dictated by a number of factors that include uptake capacities, intracrystalline diffusion influences, and regenerability. Low uptake capacities often reduce the efficacy of separations of MOFs with high selectivities. A combined selectivity-capacity metric, Δq, termed as the separation potential and calculable from ideal adsorbed solution theory, quantifies the maximum productivity of a component that can be recovered in either the adsorption or desorption cycle of transient fixed bed operations. As a result of intracrystalline diffusion limitations, the transient breakthroughs have distended characteristics, leading to diminished productivities in a number of cases. This article also highlights the possibility of harnessing intracrystalline diffusion limitations to reverse the adsorption selectivity; this strategy is useful for selective capture of nitrogen from natural gas.

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Conflict of interest statement

The author declares no competing financial interest.

Figures

Figure 1
Figure 1
Sequential steps in the operation of a fixed bed adsorber in the Skarstrom cycle for H2 purification.,−
Figure 2
Figure 2
Transient breakthrough of 73/4/3/4/16 H2/N2/CO/CH4/CO2 mixtures in a fixed bed adsorber packed with (a) AC and (b) LTA-5A zeolite operating at a total pressure of 2 MPa and T = 313 K. For presenting the breakthrough simulation results, we use as x-axis the dimensionless time, τ = tv/L, where L is the length of the adsorber and v is the interstitial gas velocity., Further information on input data and simulation details are provided in the Supporting Information.
Figure 3
Figure 3
Boiling points and polarizabilities of noble gases culled from web sources.
Figure 4
Figure 4
Transient breakthrough simulations (indicated by the solid blue line) for separation of 20/80 Xe/Kr mixtures at 298 K and 100 kPa in a fixed bed packed with CoFormate; these simulations include intracrystalline diffusion limitations. The dotted lines represent the shock wave model approximation. The input data and calculation details are available in earlier works.,,
Figure 5
Figure 5
IAST calculations of (a) component loadings q2 vs q1 and (b) separation potential formula image vs adsorption selectivity Sads for 20/80 Xe(1)/Kr(2) mixture adsorption at 298 K and 100 kPa in six different MOFs: NiMOF-74, Ag@NiMOF-74, CuBTC,, SBMOF-2, CoFormate (=Co3(HCOO)6), and SAPO-34. (c) Comparison of the transient breakthrough simulations for separation of 20/80 Xe/Kr mixtures at 298 K and 100 kPa in fixed beds packed with CoFormate and Ag@NiMOF-74. The dimensionless concentrations at the exit of the fixed bed are plotted as a function of Q0t/mads, where Q0 is the volumetric flow rate of the gas mixture at the inlet to the fixed bed, expressed in L s–1, at STP conditions. (d) Plot of the productivity of pure Kr, determined from breakthrough simulations, vs the IAST calculations of formula image for six different MOFs with y10 = 0.2; y20 = 0.8. Further information on input data and simulation details are provided in earlier works.,,
Figure 6
Figure 6
Plot of the productivity of pure Xe determined from transient desorption simulations for 20/80 Xe(1)/Kr(2) mixtures vs the IAST calculations of separation potential formula image for six different MOFs with y10 = 0.2; y20 = 0.8. Further information on input data and simulation details are provided in earlier works.,,
Figure 7
Figure 7
Sequential steps in the operation of a fixed bed adsorber in the Skarstrom cycle for C2H2(1)/CO2(2) separation.
Figure 8
Figure 8
IAST calculations of (a) component loadings q2 vs q1 and (b) separation potential formula image vs adsorption selectivity Sads for the adsorption of C2H2(1)/CO2(2) mixtures in nine different MOFs operating at 298 K and 100 kPa. (c) Simulations of transient desorption (blowdown) under deep vacuum (0.2 Pa total pressure and 298 K). During the time interval indicated by the arrow, the C2H2 product containing <1% CO2 can be recovered. (d) Productivity of 99%+ pure C2H2 product determined by transient desorption simulations for PCP-33, HOF-3, TIFSIX-2-Cu-i, JCM-1, DICRO-4-Cu-i, MUF-17, UTSA-74, FJU-90, and FeNi-M′MOF at 298 K and 100 kPa, plotted as a function of the separation potential formula image with y10 = y20 = 0.5. Further information on input data and simulation details are provided in earlier works.,,,
Figure 9
Figure 9
(a) Transient breakthrough simulations for 1/99 C2H2/C2H4 mixture adsorption at 298 K and 100 kPa in a fixed bed packed with five different MOFs. The ppm C2H2 in the gas mixture at the outlet of the fixed bed is plotted as a function of Q0t/mads, where Q0 is the volumetric flow rate of the gas mixture at the inlet to the fixed bed, expressed in m3 s–1, at STP conditions. (b) Productivity of pure C2H4, containing less than 40 ppm C2H2, plotted as a function of the separation potential formula image determined from IAST with y10 = 0.01; y20 = 0.99. (c) Separation potential, Δq, of SIFSIX-2-Cu-i and SIFSIX-1-Cu, plotted as a function of the % C2H2 in the feed mixture. Further information on input data and simulation details are provided in the Supporting Information.
Figure 10
Figure 10
(a) Experimental breakthroughs for CO2/CH4 mixtures in a packed bed with Mg2(dobdc), Co2(dobdc), MIL-100(Cr), and AC at 298 K. The partial pressures at the inlet are p1 = 40 kPa, p2 = 60 kPa, and pt = 100 kPa. The experimental data, indicated by the symbols, are from Li et al. The % CO2 and % CH4 in the exit gas phase are plotted as a function of Q0t/mads. (b) Productivity of 95% pure CH4 plotted as a function of separation potential.
Figure 11
Figure 11
Different steps in the production of purified CH4 using an adsorbent such as LTA-4A zeolite, Ba-ETS-4, and clinoptilolites, which rely on kinetic selectivity. The scheme shows the sequence of processing of a single bed in a multibed PSA scheme. Adapted from Bhadra and Farooq and Jayaraman et al.
Figure 12
Figure 12
Comparison of the transient breakthroughs of 20/80 N2(1)/CH4(2) mixtures in a fixed bed adsorber packed with MIL-100(Cr) and Ba-ETS-4 operating at 283 K and total pressure pt = 1 MPa. Further information on input data and simulation details are provided in the Supporting Information.
Figure 13
Figure 13
Five-step PSA process for separating C3H6/C3H8 mixtures.,,
Figure 14
Figure 14
Transient breakthrough simulations for (a) adsorption and (b,c) desorption cycles for the separation of C3H6/C3H8 mixtures in a fixed bed adsorber packed with KAUST-7 operating at 298 K and 100 kPa; the feed compositions are y10 = y20 = 0.5. (c) Three different scenarios for the ratios of diffusivities Đ1/Đ2 = 1, 10, and 100 are compared, while maintaining Đ1/rc2 = 1 × 10–3 s–1. Further information on input data and simulation details are provided in the Supporting Information.
Figure 15
Figure 15
(a) IAST calculations of the C2H6 uptake q2 vs the separation selectivity Sads of 90/10 C2H4/C2H6 mixture adsorption at 298 K and 100 kPa in four different MOFs. (b) Transient breakthrough simulations for the separation of 90/10 C2H4/C2H6 mixture adsorption at 298 K and 100 kPa in fixed beds packed with Cu(Qc)2, MUF-15, CPM-233, and CPM-733. (c) Productivity of 99.95%+ pure C2H4 product recovered during the displacement intervals, plotted as function of the separation potential Δq. Further information on input data and simulation details are provided in the Supporting Information.
Figure 16
Figure 16
(a) Currently employed processing scheme for nC6 isomerization and a subsequent separation step using LTA-5A zeolite. (b) Improved processing scheme for the nC6 isomerization process. Further process background details are provided in the Supporting Information.
Figure 17
Figure 17
(a) Simulations of transient breakthrough characteristics for a five-component nC6/2MP/3MP/22DMB/23DMB mixture in a fixed bed adsorber packed with Fe2(BDP)3 operating at a total pressure of 100 kPa and 433 K. The partial pressures of the components in the bulk gas phase at the inlet are p1 = p2 = p3 = p4 = p5 = 20 kPa. (b) Plot of RON of product gas mixture exiting the fixed bed adsorber packed with ZIF-77 and Fe2(BDP)3, plotted as a function of Q0t/mads. Further information on input data and simulation details are provided in the Supporting Information.
Figure 18
Figure 18
Schematic showing the separations of the products from a catalytic reforming unit. Further process background details are provided in the Supporting Information.
Figure 19
Figure 19
Boiling points and freezing points of C8 hydrocarbons, along with molecular dimensions, culled from Torres-Knoop et al.
Figure 20
Figure 20
SMB adsorption technology for the separation of a feed mixture containing o-xylene/m-xylene/p-xylene/ethylbenzene. The SMB technology is depicted here with countercurrent contacting between the down-flowing adsorbent material and up-flowing desorbent (eluent) liquid. Also indicated are the liquid-phase concentrations of a mixture of o-xylene/m-xylene/p-xylene/ethylbenzene using the information presented by Minceva and Rodrigues.
Figure 21
Figure 21
Plot of the separation potential, Δq, vs the gravimetric uptake of p-xylene. Further information on input data and simulation details are provided in the Supporting Information.

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