Separation Process Research Articles

Importance of pressing temperature on protein enrichment by electrostatic separation of rapeseed press cakes

Electrostatic separation presents a promising method to concentrate protein from rapeseed. Previous research, with focus on meals neglected, the impact of de-oiling methods on the separation process and protein functionality. Therefore, this study describes the impact of processing history on the electrostatic protein enrichment from rapeseed press cakes pressed at varying temperatures on separation efficiency and hydration properties. A defatted meal was used as control. Pressing temperatures ranging from 60 to 130 °C resulted in varied oil removal, with most removal at 80 °C, yielding final oil and protein contents of 20 and 24 g/100 g dry matter, respectively. Subsequent milling and electrostatic separation produced protein fractions with protein enrichment levels of 17 %–30 % compared to the initial press cakes. Recovery of these fractions was influenced by residual oil content and heat-induced structural changes. The press cake with the least oil demonstrated protein yields comparable to rapeseed meal, recovering 0.4 g protein/g press cake protein. Hydration properties revealed that protein solubility was improved by protein enrichment. No significant effect on water holding capacity was noted due to protein enrichment. These findings demonstrate a promising approach for producing protein-rich ingredients from rapeseed press cakes using tribo-electrostatic separation.

Effect of Particles’ Electric Charge on the Separation Process Using an Electro-Adhesion Actuator

Effect of Particles’ Electric Charge on the Separation Process Using an Electro-Adhesion Actuator

Enrichment of T-lymphocytes from leukemic blood using inertial microfluidics toward improved chimeric antigen receptor-T cell manufacturing

Chimeric antigen receptor cell therapy is a successful immunotherapy for the treatment of blood cancers. However, hurdles in their manufacturing remain including efficient isolation and purification of the T-cell starting material. Herein, we describe a one-step separation based on inertial spiral microfluidics for efficient enrichment of T-cells in B-cell acute lymphoblastic leukemia (ALL) and B-cell chronic lymphocytic leukemia patient's samples. In healthy donors used to optimize the process, the lymphocyte purity was enriched from 65% (SD ± 0.2) to 91% (SD ± 0.06) and T-cell purity was enriched from 45% (SD ± 0.1) to 73% (SD ± 0.02). Leukemic samples had higher starting B-cells compared to the healthy donor samples. Efficient enrichment and recovery of lymphocytes and T-cells were achieved in ALL samples with B-cells, monocytes and leukemic blasts depleted by 80% (SD ± 0.09), 89% (SD ± 0.1) and 74% (SD ± 0.09), respectively, and a 70% (SD ± 0.1) T-cell recovery. Chronic lymphocytic leukemia samples had lower T-cell numbers, and the separation process was less efficient compared to the ALL. This study demonstrates the use of inertial microfluidics for T-cell enrichment and depletion of B-cell blasts in ALL, suggesting its potential to address a key bottleneck of the chimeric antigen receptor-T manufacturing workflow.

A crystallization method with significant industrial potential for the separation and enrichment of silver from crude lead

Approximately 60 % of silver is produced through lead smelting systems, where silver is mainly concentrated in crude lead. Silver in crude lead is usually separated and enriched during lead refining processes. However, these methods are disadvantageous owing to their lengthy processes and high energy consumption. In this study, a novel, green, and efficient process for silver separation and enrichment via crystallization was developed. Theoretical analysis showed that the equilibrium distribution coefficient (K0) is less than 1. At 327.50 °C, silver was completely separated in the solid phase, while at 304.10 °C, silver was enriched to 2.5 wt% in the liquid phase. Experimental studies showed that, through crystallization, the silver content in low-silver lead was reduced to 0.0047 wt%, achieving a separation rate of 95.41 %. Concurrently, the silver content in rich-silver lead was enriched to 0.5690 wt% with an enrichment ratio of 7.10, consuming 185 kW·h/t of electricity. The silver content in low-silver lead was found to be lower than the Standard Specification for Refined lead, and the rich-silver lead was used for silver refining. Compared to existing processes, this method can efficiently enrich silver from crude lead in a single step. This study provides a sustainable method for silver recovery from crude lead, offering advantages such as a short process duration, cleanliness, and ease of industrial implementation and promotion. This study offers important theoretical and technological guidance for the extraction of silver from crude lead, ensuring a secure supply of silver for major national projects.

Reducing operational risks during suspensions separation in rare metals technology

The work presents the results of studies of the solid-liquid separation processes of different mineralogical and granulometric compositions, different viscosity and concentrations of uranium, zirconium, nitric acid, soda, sodium nitrate. It has been shown that the process of industrial filtration is impossible for finely dispersed phases due to the low separation rate. Requirements for the purity of technological solutions of uranium and zirconium for the extraction process are limited by the technological ability of the filter fabric to retain the smallest particles, including chemical compounds with a particle size of 1–5 μm. The control filtration process is only possible under pressure, for which a new disk press filter was created, which reduced the concentration of the solid phase in the filtrate to 0.06 g/L. For difficult-to-filter suspensions, a screw centrifuge was developed, which ensured minimum sediment moisture after separating the finely dispersed phase from a solution of soda and sodium silicate and created conditions for maximum extraction of zirconium and hafnium from the solid phase. The separation of water-soluble sodium silicate ensured the stability of the process of extraction separation of zirconium and hafnium and made it possible to isolate silicon oxide.

Prospects for using screens with double vibration-impact excitation for size separation and dewatering of wet mineral raw materials that are difficult to classify

One of the most labor-intensive and energy-consuming processes is the process of particle size separation and removal of moisture from products of wide particle size classes with a high content of small classes less than 0.2 mm in size. Such raw materials are dehydrated by traditional methods to 18-22% and are practically not classified. A review of methods for intensifying these processes showed the promise of vibration impact, which can be applied to both the sieving surface and the processed raw materials. The designs of screens with double vibration-impact excitation for particle size separation and dewatering of wet mineral raw materials are considered. The influence of operating parameters and screening time on the technological performance of these processes was experimentally studied. It was established that the use of a disintegrator simultaneously with an activator and disintegrating elements made it possible, without the use of additional power, to reduce the moisture content of the over-grid product to 4-5% while extracting the -0.1+0 mm class into the under-grid product to 83-85%. The results obtained confirmed the prospects of using screens with double vibration-impact excitation for size separation and dehydration of wet mineral raw materials that are difficult to classify.

Dam-calf contact rearing in Switzerland: Aspects of management and milking

Cow-calf contact (CCC) rearing is becoming an increasingly popular alternative to the common practice of early separation of cow and calf in dairy management. Milkability can be impaired in nursing cows, which contributes to the loss of machine milk yield caused by calf intake, especially in pure dam-calf contact (DCC) systems. The aims of this study were (1) to describe the current status quo of DCC rearing regarding management and milking and (2) to evaluate the effects of DCC (suckling and milking vs. milking alone) and the effects of different types of DCC on milkabilty parameters, teat condition and behavior during milking on Swiss DCC farms. By means of 17 telephone interviews with DCC farmers, we collected data on DCC management, housing, separation and weaning processes, milking procedures and techniques, and perceived milkability problems. Subsequently, we collected data on 10 of the interviewed DCC farms (183 cows): 4 DCC farms with a whole-day contact (WDC) system, 3 farms with DCC before milking (CBM), and 3 farms with DCC after milking (CAM). Five farms on which calves had no contact with dams were chosen as reference farms (178 cows). Using a milk flow meter, the occurrence of ejection disorders, bimodality of the milk flow curve, machine milk yield, the duration of the decline phase, and the duration of prestimulation were measured. The average mouthpiece chamber vacuum during the main milking phase and hind leg activity during milking were measured using a pressure sensor and an accelerometer, respectively. After cluster removal, the teat condition was evaluated, and a stripping milk sample was taken for fat content analysis. The interview results revealed that 8 of the 17 farms surveyed had a WDC system, and 2 farms operated a daytime DCC system. Contact before milking was applied by 3 farms, and 3 farms allowed CAM. On one farm, calves had access to dams 3 times a day. A great diversity in cow-calf management was found. In the on-farm data-collection, 20 milkings of a total of 701 milkings examined met the criteria for a clear ejection disorder, with 17 of these observations occurring on WDC farms and none on reference farms. The stripping milk fat content was lower in nursing cows, indicating a lower degree of udder emptying. Machine milk yield during the main milking phase was higher in nursing CAM cows than in nursing WDC and CBM cows. Farm types did not differ regarding teat condition, hind leg activity, or the occurrence of bimodal milk flow curves. In conclusion, the large variation in individual management approaches to DCC rearing even within DCC types, such as calf housing or cow breeds, implies caution when interpreting results. Contact after milking may be the system most beneficial for some productivity parameters, but adequate calf supply must be ensured. Higher amounts of milk remaining in the udder after cluster removal indicate that nursing can affect milkability, but future research should consider the effects of udder filling before milking to better interpret the fat content of stripping milk.

Design and optimization for the separation of xylene isomers with a novel double extractants-based extractive distillation

Xylene is a crucial chemical raw material, serving as a synthetic monomer and solvent extensively employed in coating, medicine, rubber and other industries. It contains of three isomers: o-xylene (OX), m-xylene (MX), and p-xylene (PX), their separation is considered a worldwide challenge due to their extremely close boiling points. A novel extractive distillation based on double extractants is first proposed to separate these isomers in this paper, while it was considered impractical to separate these isomers by distillation technology alone in the past. Through the analysis of residual curve and extractant screening, two potential solvents, i.e., N-Methylpyrrolidone (NMP) and Tetramethylene sulfone (Sul) were used as extractants, and then the separation sequences were designed and optimized. The extractive distillation processes were optimized by sequential iterative method according to the minimum total annual cost (TAC), and the best separation sequence and process parameters were determined. For comparison, it was found that the optimized double extractant-based extractive distillation (DEED) process has the best economic performance with TAC of 5.72×106$, and the energy consumption was greatly reduced by 41.2% compared to the single extractant-based extractive distillation (SEED). This article provides a new perspective on energy-efficient distillation technology for industrial xylene separation and purification production.

Screening of Green and Environmentally Friendly Deep Eutectic Solvents and Study on Molecular Mechanism and Process for Separation of Isopropanol and Cyclohexane

Screening of Green and Environmentally Friendly Deep Eutectic Solvents and Study on Molecular Mechanism and Process for Separation of Isopropanol and Cyclohexane

Techno-economic analysis of zero-carbon ammonia-hydrogen fuel blend production through a catalytic membrane reformer and packed bed reactor

Ammonia-hydrogen fuel blends are an attractive alternative for zero carbon combustion and power generation. Herein we present a comprehensive techno-economic analysis for distributed production of these fuel mixtures from liquid NH3 comparing catalytic membrane reformer (CMR) and packed bed reactor (PBR) processes. The technical and economic feasibility was evaluated as a function of product composition (10–50 % H2), and delivery pressure (1–50 bar), and process scale (0.1–10 MW). To facilitate comparisons with conventional power and common hydrocarbon fuels the results are presented as NH3 processing cost (¢/kWh), H2 production cost (USD/kg), and overall fuel cost (USD/thm). The results show that the CMR is superiorly positioned for the generation of ammonia/hydrogen fuel mixtures with 2.7–7.2 times lower NH3 processing cost and requiring <0.5 USD/kg H2 production costs with exhaust heat recuperation. CMR advantages stem from more efficient NH3 reforming and H2 separation processes, eliminating the need for capital and operating intensive compression. These benefits are amplified with increasing H2 composition and fuel delivery pressure. The processing cost for both reformer options drops by 30 % with a scale increase from 0.1 to 10 MW. CMR-generated ammonia/hydrogen fuel blends are cost-competitive with refined liquid hydrocarbon fuels such as gasoline, diesel, and jet A. Nevertheless, the NH3 cost would have to be reduced by more than half to become competitive with natural gas. These findings suggest that ammonia/hydrogen fuel blends are an attractive option for the decarbonization of heavy industry and commercial transport.

Effective removal of toxic dye from wastewater via advanced modified magnetic sepiolite using combined surfactants SDS/CTAB/Fe3O4@Sep: Empirical and computational analysis studies

In the present era, the elimination of hazardous dyes from wastewater has emerged as a paramount concern, captivating the interest of scientists globally because their detrimental effect on human health. Adsorption, a well-established and effective separation process, is commonly employed for eliminating various harmful organic pollutants from water, particularly toxic dyes. In this study, a novel magnetic organo-composite was synthesized through an environmentally friendly and easily implementable approach. Subsequently, various analytical techniques, including XRD, FT-IR, SEM, and EDX, were utilized to scrutinize the structure and morphology of the adsorbent. The as-prepared adsorbent demonstrated remarkable efficiency in rapidly removing malachite green dye from aqueous solutions, attaining a peak adsorption capacity of 227.40 mg g−1. Furthermore, several factors affecting the adsorption process were investigated, including adsorbent dosage, medium pH, initial dye concentration, and contact time. The examination of adsorption kinetics data indicated that the process adhered to a pseudo-second-order model (R2 = 0.97), implying that chemisorption constituted the controlling step in the reaction. Additionally, the experimental adsorption isotherms exhibited a close fit to the Langmuir model (R2 = 0.98). Crucially, the SDS/CTAB/Fe3O4@Sep magnetic organo-nanocomposite adsorbent exhibited the capacity for multiple reuses, maintaining its effectiveness over five cycles without notable activity decline. Consequently, the synthesized organo-composite appears to show potential as an effective adsorbent for eliminating harmful cationic dyes present in wastewater. Molecular dynamics (MD) simulations, employing Monte Carlo adsorption locator simulation (MCL) calculations, further supported the elevated adsorption of SDS/CTAB on Sep, Fe3O4 on SDS/CTAB@Sep, and MG molecules on SDS/CTAB/Fe3O4@Sep due to their negative adsorptions.

Rapid and real-time analysis of multi-component dissolved gas in seawater by Raman spectroscopy combined with continuous gas-liquid separator

Rapid and sensitive detection of dissolved gases in seawater is quite essential for the investigation of the global carbon cycle. Large quantities of in situ optical detection techniques showed restricted measurement efficiency, owing to the single gas sensor without the identification ability of multiple gases. In this work, a novel gas-liquid Raman detection method of monitoring the multi-component dissolved gases was proposed based on a continuous gas-liquid separator under a large difference of partial pressure. The limit of detection (LOD) of the gas Raman spectrometer could arrive at about 14 ppm for N2 gas. Moreover, based on the continuous gas-liquid separation process, the detection time of the dissolved gases could be largely decreased to about 200 s compared with that of the traditional detection method (30 min). Effect of equilibrium time on gas-liquid separation process indicated that the extracted efficiency and decay time of these dissolved gases was CO2 >O2 >N2. In addition, the analysis of the relationship between equilibrium time and flow speed indicated that the decay time decreased with the increase of the flow speed. The validation and application of the developed system presented its great potential for studying the components and spatiotemporal distribution of dissolved gases in seawater.

Enantiomeric separation of tryptophan via novel chiral polyamide composite membrane.

The separation of chiral drugs continues to pose a significant challenge. However, in recent years, the emergence of membrane-based chiral separation has shown promising effectiveness due to its environmentally friendly, energy-efficient, and cost-effective characteristics. In this study, we prepared chiral composite membrane via interfacial polymerization (IP), utilizing β-cyclodextrin (β-CD) and piperazine (PIP) as mixed monomers in the aqueous phase. The chiral separation process was facilitated by β-CD, serving as a chiral selective agent. The resulting membrane were characterized using SEM, FT-IR, and XPS. Subsequently, the chiral separation performance of the membrane for DL-tryptophan (Trp) was investigated. Lastly, the water flux, dye rejection, and stability of the membrane were also examined. The results showed that the optimized chiral PIP0.5β-CD0.5 membrane achieved an enantiomeric excess percentage (ee%) of 43.0% for D-Trp, with a solute flux of 66.18 nmol·cm-2·h-1, and maintained a good chiral separation stability. Additionally, the membrane demonstrated positive performance in the selective separation of mixed dyes, allowing for steady operation over a long period of time. This study offers fresh insights into membrane-based chiral separations.

Kinerja Analitik Mikrokapsul Magnetit - Alginat (MNPs-ALG) untuk Analisis Ion Logam Cu(II) dan Aplikasinya pada Sampel Alam

Research has been carried out regarding the synthesis of Magnetite-Alginate microcapsules (MNPs-ALG) and applied to Cu (II) metal ions. The nature of magnetic nanoparticles, Fe3O4 which easily form aggregations can be overcome by this encapsulation process, but a very efficient separation process is also very much needed in the analytical separation process.The process of making magnetite nanoparticle compounds is carried out first using FeCl2.4H2O and FeCl3.6H2O and adding concentrated ammonia at a temperature of 90οC until the solution becomes blackish in color. The dry magnetite, Fe3O4, nanoparticles were then dissolved in distilled water and thickened with Na-Alginate then dropped slowly into a 1 M CaCl2 solution. The results of characterization using SEM showed that there were differences in morphology before and after contact, and there was 0.98% mass of Cu elements on the EDS results.The microcapsule adsorption optimization test gave results for the best adsorption percentage &gt;90% on a mass variation of magnetite (MNPs) of 0.3 grams; pH 5; contact time of 30 minutes and retention capacity of 185.95 mg/gram, at a Cu(II) concentration of 800 ppm. Analytical performance shows the best results with linearity parameters with a correlation coefficient of 0.999; the detection limit and quantitation limit are 0.0516 ppb and 0.1720 ppb with a lifetime of four times. The application of samples in the form of river water samples shows a percent recovery value of around &gt;90%, indicating that there is no matrix that significantly influences the measurements.

Comparative study of linear and nonlinear calibration algorithm for extrapolation ability of near infrared spectroscopy quantitative analysis

The determination of the o-nitrotoluene (o-MNT) content in separation process of mononitrotoluene (MNT) is of interest, since it affects the purity of m-nitrotoluene (m-MNT) and p-nitrotoluene (p-MNT). In real-world applications, the calibration model inevitably requires dealing with complex extrapolation problems. Therefore, this study extracted the spectral features of the o-nitrotoluene based on the interval selection algorithm. The linear calibration method (partial least squares (PLS)) and nonlinear calibration methods (support vector machine (SVM), back propagation (BP), random forest (RF), extreme learning machine (ELM)) were used to build the calibration models based on o-nitrotoluene samples in different concentration ranges, and the prediction accuracy and robustness of the calibration model were compared. The results indicate that the effectiveness of different calibration methods is different when going from prediction accuracy to robustness. The prediction accuracy and robustness of RF models are not satisfactory. BP models, which are capable of producing very accurate results in terms of prediction accuracy, are not able to solve extrapolation problems. PLS model has more advantages in model prediction accuracy. ELM has shown the best behavior in terms of robustness of model, but is inferior to PLS in terms of prediction accuracy.

Preparation of UiO-66 membrane through heterogeneous nucleation assisted growth strategy for efficient CO2 capture under humid conditions

Metal-organic frameworks (MOFs) have driven the development of polycrystalline membranes in the field of gas separation owing to the strong adsorption-desorption behavior and stable framework structure. However, the poor heterogeneous bonding ability between crystals and the substrate leads to the unsatisfactory gas separation as well as low stability of MOF membranes, especially in the humid environment. Herein, we prepared a thin and defect-free UiO-66 membrane by a crystal heterogeneous nucleation assisted growth strategy for efficient CO2/N2 separation. The addition of small amount of water in the precursor solution promoted the crystal nucleation process on the substrate surface. Meanwhile, the smooth PDMS interlayer guaranteed the heterogeneous well-intergrown of crystals into thin UiO-66 membranes, and provided a hydrophobic environment. Therefore, the dense UiO-66 membrane with a small thickness exhibited a high CO2 permeance (177.4 × 10−9 mol·m−2·s−1·Pa−1) with moderate CO2/N2 selectivity (24.3) under humid conditions. Furthermore, the prepared membrane demonstrated excellent renewable performance after dehumidification at high temperature, and maintained good hydrothermal stability during long-term operation under the humid environment. This work provides a new insight for the design of high-quality MOF membranes and promotes the development of MOF membranes in practical gas separation process.

Research on prediction of coal water medium separation effect based on multi-models

To improve the separation efficiency of raw coal and ensure clean use, the accurate calculation of the partition coefficients (PCs) in coal water medium sorting is required. Single models have been used to predict the partition coefficient (PC) for decades, but their accuracy remains constrained. This study proposes a multi-model (MM) calculation method based on the Gompertz model (GM), the Logistic model (LM), the Arctangent model (AM), and the Approximate formula (AFM) to improve the accuracy of the predicted coal water medium sorting PCs. Four groups of coal samples and two specific cases were used to verify the accuracy of the MM calculation method. The PCs of the MM method had a minimal Ef (0.91–8.84), a maximal R2 (0.9648–0.9994), a maximal F-value (199.17–11352.31), and the highest significance of all the models. The MM method was found to be the most suitable of all the models for predicting any coal water medium separation process. Further, when calculating the PC for cleaned coal ash, the separation density of MM is closer to the actual separation density than that of either the GM, LM, AM, or AFM models. The MM method, therefore, produces more accurate results compared to a single model. MM is expected to predict the PC based on the required cleaned coal ash, and then regulate the sorting density to improve the production efficiency.

Influence of catalysts on the hydrothermal liquefaction of municipal primary sludge: Upgrading to a higher quality biocrude

Effect of homogeneous and heterogeneous catalysts on hydrothermal liquefaction of primary sludge was studied. Biocrude, biochar, aqueous phase and biogas were all affected, in terms of quantity and quality. HTL without any catalyst attained a biocrude yield of 37.7 % (w/wVS). The best improvements in biocrude yield are observed with CuSO4 (10 %), 42.20 % (w/wVS) and TiO2 (20 %), 41.90 % (w/wVS). All experiments with catalyst produced a biocrude with HHV higher than 30 MJ/kg and with carbon content higher than 60 %. The analysis demonstrated that the major fraction of biocrude were asphaltenes, the heavier phase. While, the light phase, oils, in most of the cases, contained more saturates than polars. Biochar and aqueous phase were recuperated with high organic contents, that enables their usages in further applications. Even though gas fractions were small, their compositions varied between CO, CO2 and hydrocarbons. Catalysts were normally recuperated with the solid phase, except some cases due to their particle sizes. Most of the ashes of primary sludge were transferred to biochar. Some parts of them went to the aqueous phase and biocrude during separation process.

IMAR in Frequency Domain for Separating Speech Signals by STFT

Blind Source Separation is a statistical method for isolating signals coming from unidentified sources that have been picked up by a variety of sensors. In the fields of biological signal analysis and speech analysis technology, it is an active researcher. The quantity of noise that is present in the signal throughout the speech signal separation process is a disadvantage. This noise affects the signal that has been separated, and it is often loud melodic noise. For the purpose of separating speech signals from BSS, the suggested method makes use of a network that is configured with the parameters of Instantaneous Mixing in addition to an Auto Regressive model and a maximum-likelihood function. In order to separate the individual voice signal from the input mixed signals, the Back Propagation Network is put into operation. The Short Time Fourier Transform is then utilized for the purpose of dividing the spoken stream into extremely precise time periods. Next, Maximum-likelihood method is implemented to determine the optimum values of the IMAR model's W and G parameters. This step is done after the ideal values have been estimated. The suggested model was tested using a combination of voice signals and microphone signals, and the results demonstrated that it provided superior execution in comparison to other algorithms that are currently in use.

Low-Hydrophilic HKUST-1/Polymer Extrudates for the PSA Separation of CO2/CH4.

HKUST-1 is an MOF adsorbent industrially produced in powder form and thus requires a post-shaping process for use as an adsorbent in fixed-bed separation processes. HKUST-1 is also sensitive to moisture, which degrades its crystalline structure. In this work, HKUST-1, in the form of crystalline powder, was extruded into pellets using a hydrophobic polymeric binder to improve its moisture stability. Thermoplastic polyurethane (TPU) was used for that purpose. The subsequent HKUST-1/TPU extrudate was then compared to HKUST-1/PLA extrudates synthesized with more hydrophilic polymer: polylactic acid (PLA), as the binder. The characterization of the composites was determined via XRD, TGA, SEM-EDS, and an N2 adsorption isotherm analysis. Meanwhile, the gas-separation performances of HKUST-1/TPU were investigated and compared with HKUST-1/PLA from measurements of CO2 and CH4 isotherms at three different temperatures, up to 10 bars. Lastly, the moisture stability of the composite materials was investigated via an aging analysis during storage under humid conditions. It is shown that HKUST-1's crystalline structure was preserved in the HKUST-1/TPU extrudates. The composites also exhibited good thermal stability under 523 K, whilst their textural properties were not significantly modified compared with the pristine HKUST-1. Furthermore, both extrudates exhibited larger CO2 and CH4 adsorption capacities in comparison to the pristine HKUST-1. After three months of storage under atmospheric humid conditions, CO2 adsorption capacities were reduced to only 10% for HKUST-1/TPU, whereas reductions of about 25% and 54% were observed for HKUST-1/PLA and the pristine HKUST-1, respectively. This study demonstrates the interest in shaping MOF powders by extrusion using a hydrophobic thermoplastic binder to operate adsorbents with enhanced moisture stability in gas-separation columns.