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30 pages, 25193 KiB  
Article
Effect of Promising Sustainable Nano-Reinforcements on Polysulfone/Polyvinylpyrrolidone-Based Membranes: Enhancing Mechanical Properties and Water Filtration Performance
by Seren Acarer Arat, İnci Pir, Mertol Tüfekci, Nurtaç Öz and Neşe Tüfekci
Polymers 2024, 16(24), 3531; https://doi.org/10.3390/polym16243531 - 18 Dec 2024
Viewed by 347
Abstract
In this study, polysulfone/polyvinylpyrrolidone (PSf/PVP, 20 wt%/5 wt%)-based ultrafiltration (UF) membranes reinforced with different ratios (0.5 and 1 wt%) of cellulose nanocrystals (CNCs) and cellulose nanofibres (CNFs) were prepared by the phase inversion method. The effect of CNC, CNF, and CNC-CNF reinforcement on [...] Read more.
In this study, polysulfone/polyvinylpyrrolidone (PSf/PVP, 20 wt%/5 wt%)-based ultrafiltration (UF) membranes reinforced with different ratios (0.5 and 1 wt%) of cellulose nanocrystals (CNCs) and cellulose nanofibres (CNFs) were prepared by the phase inversion method. The effect of CNC, CNF, and CNC-CNF reinforcement on the morphology, roughness, crystallinity, porosity, average pore size, mechanical properties, and filtration performance of PSf/PVP-based membrane was investigated. Distilled water and surface water (lake water) fluxes of the membranes were determined at 3 bar using a dead-end filtration system. The distilled water flux of the fouled–hydraulic cleaned membranes was determined, and scanning electron microscopy (SEM) images of the fouled–cleaned membranes were examined. The flux recovery ratio (FRR) and fouling parameters were calculated to examine the fouling behaviour of the membranes. The mechanical properties of the membranes were modelled by the Mori–Tanaka, finite element, Voigt–Reuss, self-consistent scheme, and Halpin–Tsai methods using Digimat and/or analytically. In addition, the von Mises equivalent stress distributions of the nanocomposites were presented. Among the investigated membranes, PSf/PVP/CNC-0.5 had the highest distilled water flux (475.5 ± 17.77 L/m2.h), PSf/PVP/CNF-1 exhibited the stiffest behaviour with an elasticity modulus of 70.63 ± 3.15 MPa, and PSf/PVP/CNC-1 had the best organic matter removal efficiency. The finite element was the most successful modelling method for estimating the mechanical properties of nanocellulose-reinforced flat sheet membranes. Full article
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Figure 1

Figure 1
<p>The main production steps of PSf/PVP-based membranes.</p>
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<p>Test machine for tensile testing of membranes.</p>
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<p>The viscosity of casting solutions prepared for the production of PSf/PVP-based membranes.</p>
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<p>SEM surface images of PSf/PVP-based membranes: (<b>a</b>) PSf/PVP, (<b>b</b>) PSf/PVP/CNC-0.5, (<b>c</b>) PSf/PVP/CNC-1, (<b>d</b>) PSf/PVP/CNF-0.5, (<b>e</b>) PSf/PVP/CNF-1, and (<b>f</b>) PSf/PVP/CNC-CNF.</p>
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<p>(1) Two-dimensional and (2) three-dimensional AFM images of PSf/PVP-based membranes: (<b>a<sub>1</sub></b>,<b>a<sub>2</sub></b>) PSf/PVP, (<b>b<sub>1</sub></b>,<b>b<sub>2</sub></b>) PSf/PVP/CNC-0.5, (<b>c<sub>1</sub></b>,<b>c<sub>2</sub></b>) PSf/PVP/CNC-1, (<b>d<sub>1</sub></b>,<b>d<sub>2</sub></b>) PSf/PVP/CNF-0.5, (<b>e<sub>1</sub></b>,<b>e<sub>2</sub></b>) PSf/PVP/CNF-1, and (<b>f<sub>1</sub></b>,<b>f<sub>2</sub></b>) PSf/PVP/CNC-CNF.</p>
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<p>(1) Two-dimensional and (2) three-dimensional AFM images of PSf/PVP-based membranes: (<b>a<sub>1</sub></b>,<b>a<sub>2</sub></b>) PSf/PVP, (<b>b<sub>1</sub></b>,<b>b<sub>2</sub></b>) PSf/PVP/CNC-0.5, (<b>c<sub>1</sub></b>,<b>c<sub>2</sub></b>) PSf/PVP/CNC-1, (<b>d<sub>1</sub></b>,<b>d<sub>2</sub></b>) PSf/PVP/CNF-0.5, (<b>e<sub>1</sub></b>,<b>e<sub>2</sub></b>) PSf/PVP/CNF-1, and (<b>f<sub>1</sub></b>,<b>f<sub>2</sub></b>) PSf/PVP/CNC-CNF.</p>
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<p>(1) Two-dimensional and (2) three-dimensional AFM images of PSf/PVP-based membranes: (<b>a<sub>1</sub></b>,<b>a<sub>2</sub></b>) PSf/PVP, (<b>b<sub>1</sub></b>,<b>b<sub>2</sub></b>) PSf/PVP/CNC-0.5, (<b>c<sub>1</sub></b>,<b>c<sub>2</sub></b>) PSf/PVP/CNC-1, (<b>d<sub>1</sub></b>,<b>d<sub>2</sub></b>) PSf/PVP/CNF-0.5, (<b>e<sub>1</sub></b>,<b>e<sub>2</sub></b>) PSf/PVP/CNF-1, and (<b>f<sub>1</sub></b>,<b>f<sub>2</sub></b>) PSf/PVP/CNC-CNF.</p>
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<p>XRD patterns of PSf/PVP-based membranes: (<b>a</b>) PSf/PVP, (<b>b</b>) PSf/PVP/CNC-1, (<b>c</b>) PSf/PVP/CNF-1, and (<b>d</b>) PSf/PVP/CNC-CNF.</p>
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<p>Porosity and average pore size of PSf/PVP-based membranes.</p>
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<p>Average stress–strain curves of PSf/PVP-based membranes.</p>
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<p>Elasticity modulus and tensile strength of PSf/PVP-based membranes.</p>
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<p>Elongation at break values of PSf/PVP-based membranes.</p>
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<p>Equivalent von Mises stress distribution in RVE of PSf/PVP/CNC-CNF membrane: (<b>a</b>) whole RVE, (<b>b</b>) cross-section of the RVE, (<b>c</b>) whole RVE with mesh structure, and (<b>d</b>) cross-section of the RVE with mesh structure.</p>
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<p>Equivalent von Mises stress distribution in RVE of PSf/PVP/CNC-CNF membrane: (<b>a</b>) whole RVE, (<b>b</b>) cross-section of the RVE, (<b>c</b>) whole RVE with mesh structure, and (<b>d</b>) cross-section of the RVE with mesh structure.</p>
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<p>Equivalent von Mises stress distribution in RVE of PSf/PVP/CNC-CNF membrane: (<b>a</b>) whole RVE, (<b>b</b>) cross-section of the RVE, (<b>c</b>) whole RVE with mesh structure, and (<b>d</b>) cross-section of the RVE with mesh structure.</p>
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<p>Water fluxes of PSf/PVP-based membranes at 3 bar.</p>
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<p>UV254 and TOC removal efficiency of PSf/PVP-based membranes.</p>
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<p>SEM surface images of fouled–cleaned PSf/PVP-based membranes: (<b>a</b>) PSf/PVP, (<b>b</b>) PSf/PVP/CNC-0.5, (<b>c</b>) PSf/PVP/CNC-1, (<b>d</b>) PSf/PVP/CNF-0.5, (<b>e</b>) PSf/PVP/CNF-1, and (<b>f</b>) PSf/PVP/CNC-CNF.</p>
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<p>FRR values and fouling parameters of PSf/PVP-based membranes.</p>
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18 pages, 5254 KiB  
Article
Polysulfone-Based Membranes Modified with Ionic Liquids and Silica for Potential Fuel Cell Applications
by Emma Fernández-Llamazares, Thi Hai Van Nguyen, Pere Verdugo, Aitor Gual, Diogo M. E. Garcia, Claudia Delgado Simão, Miriam Díaz de los Bernardos and Adrianna Nogalska
Membranes 2024, 14(12), 270; https://doi.org/10.3390/membranes14120270 - 13 Dec 2024
Viewed by 581
Abstract
The urgent need for sustainable, low-emission energy solutions has positioned proton exchange membrane fuel cells (PEMFCs) as a promising technology in clean energy conversion. Polysulfone (PSF) membranes with incorporated ionic liquid (IL) and hydrophobic polydimethylsiloxane-functionalized silica (SiO2-PDMS) were developed and characterized [...] Read more.
The urgent need for sustainable, low-emission energy solutions has positioned proton exchange membrane fuel cells (PEMFCs) as a promising technology in clean energy conversion. Polysulfone (PSF) membranes with incorporated ionic liquid (IL) and hydrophobic polydimethylsiloxane-functionalized silica (SiO2-PDMS) were developed and characterized for their potential application in PEMFCs. Using a phase inversion method, membranes with various combinations of PSFs, SiO2-PDMS, and 1-butyl-3-methylimidazolium triflate (BMI.TfO) (1–10 wt%) were prepared and characterized to assess their morphology, porosity, wettability, ionic conductivity, and thermal stability. Incorporating IL significantly altered the membrane structure, increasing porosity and surface roughness, while SiO2-PDMS enhanced IL retention, reducing leakage by up to 32%. Proton conductivity increased by up to 30 times compared to pure PSF, and membranes exhibited high hydrophilicity at optimal IL concentrations. This work highlights the potential of IL and silica-based membranes for practical applications in PEMFCs. Full article
(This article belongs to the Section Membrane Applications for Energy)
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Figure 1
<p>Proton conductivity: (<b>a</b>) schematic representation of the cell and (<b>b</b>) equivalent circuit.</p>
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<p>IL leakage.</p>
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<p>DSC thermogram of the BMI.TfO (red), PSF_SiO<sub>2</sub>_BMI.TfO10% membrane (black), and the neat PSF (blue) from −20 °C to 250 °C.</p>
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<p>(<b>a</b>) Superposed TGA thermograms and (<b>b</b>) superposed TGA 1st derivative of the BMI.TfO (red), PSF_SiO<sub>2</sub>_BMI.TfO10% (black), and PSF (blue).</p>
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<p>FESEM cross-section pictures. All micrographs are shown with a scale of 50 µm; the inset scale for the thinner membranes (PSF, PSF_SiO<sub>2</sub>_BMI.TfO5% and PSF_SiO<sub>2</sub>_BMI.TfO10%) is 10 µm and for PSF_SiO<sub>2</sub>, it is 2 µm.</p>
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<p>Surface ESEM pictures. All micrographs are shown with a scale of 50 µm, except for PSF_BMI.TfO1% with 100 µm; the inset scale for PSF_SiO<sub>2</sub>_BMI.TfO1% is 10 µm.</p>
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<p>AFM height images obtained for the membrane surfaces.</p>
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<p>FTIR-ATR spectra of the membranes. (<b>a</b>) PSF_SiO<sub>2</sub>, (<b>b</b>) PSF_BMI.TfO1%, (<b>c</b>) PSF_SiO<sub>2</sub>_BMI.TfO1%, and (<b>d</b>) PSF_SiO<sub>2</sub>_BMI.TfO5%/10%.</p>
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15 pages, 10080 KiB  
Tutorial
Spatial Ensemble Mapping for Coded Aperture Imaging—A Tutorial
by Narmada Joshi, Agnes Pristy Ignatius Xavier, Shivasubramanian Gopinath, Vipin Tiwari and Vijayakumar Anand
Photonics 2024, 11(12), 1174; https://doi.org/10.3390/photonics11121174 - 13 Dec 2024
Viewed by 555
Abstract
Coded aperture imaging (CAI) is a well-established computational imaging technique consisting of two steps, namely the optical recording of an object using a coded mask, followed by a computational reconstruction using a computational algorithm using a pre-recorded point spread function (PSF). In this [...] Read more.
Coded aperture imaging (CAI) is a well-established computational imaging technique consisting of two steps, namely the optical recording of an object using a coded mask, followed by a computational reconstruction using a computational algorithm using a pre-recorded point spread function (PSF). In this tutorial, we introduce a simple yet elegant technique called spatial ensemble mapping (SEM) for CAI that allows us to tune the axial resolution post-recording from a single camera shot recorded using an image sensor. The theory, simulation studies, and proof-of-concept experimental studies of SEM-CAI are presented. We believe that the developed approach will benefit microscopy, holography, and smartphone imaging systems. Full article
(This article belongs to the Special Issue Optical Imaging Innovations and Applications)
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<p>(<b>a</b>) Design of coded mask: Schematic of TAP-GSA. Three masks, a diffractive axicon, FZP1, and FZP2, are combined with unique LPs to map every diffraction pattern to a predefined area on the image sensor. The resulting three masks are summed to obtain a complex function. The phase of the complex function and a uniform matrix are used as phase and amplitude constraints, respectively, in the mask domain. The amplitude distribution obtained by Fresnel propagation of the ideal complex function to the sensor domain is used as a constraint in the sensor domain. The phase distribution obtained at the sensor plane by Fresnel propagation is combined with the ideal phase distribution. The process is iterated to obtain a phase-only CM. A—amplitude; Φ—phase; FZP—Fresnel zone plate; LP—linear phase. (<b>b</b>) Imaging process: The CM is used to record <span class="html-italic">I<sub>PSF</sub></span> and <span class="html-italic">I<sub>ROI</sub></span>, and the above intensity distributions are mapped to different regions of the image sensor. With an increase in the area, the axial correlation lengths decrease. OTF—optical transfer function; <span class="html-italic">n</span>—number of iterations; ⊗—2D convolutional operator; <math display="inline"><semantics> <mrow> <msup> <mrow> <mi mathvariant="bold-fraktur">I</mi> </mrow> <mrow> <mo mathvariant="bold-italic">∗</mo> </mrow> </msup> </mrow> </semantics></math>—refers to complex conjugate following a Fourier transform; <math display="inline"><semantics> <mrow> <msup> <mrow> <mi mathvariant="bold-fraktur">I</mi> </mrow> <mrow> <mo>−</mo> <mn>1</mn> </mrow> </msup> </mrow> </semantics></math>—inverse Fourier transform; <span class="html-italic">R<sup>n</sup></span> is the <span class="html-italic">n</span>th solution and <span class="html-italic">n</span> is an integer, when <span class="html-italic">n</span> = 1, <span class="html-italic">I<sub>R</sub><sup>n</sup></span> = <span class="html-italic">I<sub>ROI</sub></span>; NLR—non-linear reconstruction; ML—maximum likelihood; <span class="html-italic">α</span> and <span class="html-italic">β</span> are varied from −1 to 1.</p>
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<p>Simulation results for design and analysis of CM: Phase images of (<b>a</b>) diffractive axicon, (<b>b</b>) FZP1, (<b>c</b>) FZP2. Magnitude of CM obtained by (<b>d</b>) sum of phase functions of diffractive axicon, FZP1, and FZP2, (<b>e</b>) random multiplexing, and (<b>f</b>) TAP-GSA. Phase images of CM designed by (<b>g</b>) sum of phase functions of diffractive axicon, FZP1, and FZP2, (<b>h</b>) random multiplexing, and (<b>i</b>) TAP-GSA. Diffraction patterns obtained from (<b>j</b>) complex CM, (<b>k</b>) CM designed by random multiplexing, and (<b>l</b>) CM designed by TAP-GSA. The masks shown in (<b>a</b>–<b>c</b>) generate the respective intensity distributions as matched with the same color.</p>
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<p>Simulation results of axial correlation curves for different masks applied to the recorded <span class="html-italic">I<sub>PSF</sub></span> and <span class="html-italic">I<sub>ROI</sub></span>. The gray region in Mask2 has a ratio of 0.33 to the white region, and Mask6 has a ratio of 0.25 to the white region. The color of the curves are matched with the border color of the masks. The axial resolution can be tuned between the limits of the axicon (yellow line) and a diffractive lens (black line).</p>
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<p>(<b>a</b>) Test object 1, (<b>b</b>) test object 2. Images of (<b>c</b>) <span class="html-italic">I</span><sub>PSF,</sub> (<b>d</b>) <span class="html-italic">I<sub>ROI,</sub></span> (<b>e</b>) <span class="html-italic">I<sub>R</sub></span> for Mask1. Images of (<b>f</b>) <span class="html-italic">I</span><sub>PSF,</sub> (<b>g</b>) <span class="html-italic">I<sub>ROI,</sub></span> (<b>h</b>) <span class="html-italic">I<sub>R</sub></span> for Mask2. Images of (<b>i</b>) <span class="html-italic">I</span><sub>PSF,</sub> (<b>j</b>) <span class="html-italic">I<sub>ROI,</sub></span> (<b>k</b>) <span class="html-italic">I<sub>R</sub></span> for Mask4.</p>
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<p>(<b>a</b>) Schematic and (<b>b</b>) photograph of experimental configuration. (1) LED, (2) iris, (3) refractive lens (<span class="html-italic">f</span> = 3.5 cm), (4) polarizer, (5) refractive lens (<span class="html-italic">f</span> = 5 cm), (6) object/pinhole, (7) refractive lens (<span class="html-italic">f</span> = 5 cm), (8) iris, (9) beam splitter, (10) spatial light modulator, (11) monochrome image sensor.</p>
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<p>Experimentally recorded (<b>a</b>) <span class="html-italic">I<sub>PSF</sub></span>, (<b>b</b>) <span class="html-italic">I<sub>ROI</sub></span>. Images of (<b>c</b>) Mask1 and the (<b>d</b>) corresponding reconstruction. Images of (<b>e</b>) Mask2 and the (<b>f</b>) corresponding reconstruction. (<b>g</b>) Phase image of the CM designed by the TAP-GSA with 75% degrees of freedom.</p>
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<p>Simulation results of spectral correlation curves for different masks applied to the recorded <span class="html-italic">I<sub>PSF</sub></span> and <span class="html-italic">I<sub>ROI</sub></span>. The gray region in Mask2 has a ratio of 0.33 to the white region. The color of the curves are matched with the border color of the masks.</p>
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25 pages, 6110 KiB  
Article
High-Performance Porous Supports Based on Hydroxyl-Terminated Polysulfone and CO2/CO-Selective Composite Membranes
by Dmitry Matveev, Tatyana Anokhina, Alisa Raeva, Ilya Borisov, Evgenia Grushevenko, Svetlana Khashirova, Alexey Volkov, Stepan Bazhenov, Vladimir Volkov and Anton Maksimov
Polymers 2024, 16(24), 3453; https://doi.org/10.3390/polym16243453 - 10 Dec 2024
Viewed by 480
Abstract
The scope of this work was to develop a thin-film composite (TFC) membrane for the separation of CO2/CO mixtures, which are relevant for many processes of gas processing and gasification of carbon-based feedstock. Special attention was given to the development of [...] Read more.
The scope of this work was to develop a thin-film composite (TFC) membrane for the separation of CO2/CO mixtures, which are relevant for many processes of gas processing and gasification of carbon-based feedstock. Special attention was given to the development of highly permeable porous polysulfone (PSF) supports (more than 26,000 GPU for CO2) since both the selective and support layers contribute significantly to the overall performance of the TFC membrane. The PSF porous support is widely used in commercial and lab-scale TFC membranes, and its porous structure and other exploitation parameters are set during the non-solvent-induced phase separation (NIPS) process. Since the casting solution properties (e.g., viscosity) and the interactions in a three-component system (polymer, solvent, and non-solvent) play noticeable roles in the NIPS process, polysulfone samples in a wide range of molecular weights (Mw = 76,000–122,000 g·mol−1) with terminal hydroxyl groups were synthesized for the first time. Commercial PSF with predominantly terminal chlorine groups (Ultrason® S 6010) was used as a reference. The PSF samples were characterized by NMR, DSC, and TGA methods, and the Hansen solubility parameters were calculated. It was found that increasing the ratio of terminal –OH over –Cl groups improved the “solubility” of PSF in N-methyl-2-pyrrolidone (NMP) and water. A direct dependence of the gas permeance of porous supports on the coagulation rate of the casting solution was identified for the first time. It was shown that the use of synthesized PSF (Mw = 76,000 g·mol−1, Mw/Mn = 3.0, (–OH):(–Cl) ratio of 4.7:1) enabled a porous support with a CO2 permeance of 26,700 GPU to be obtained, while the support formed from a commercial PSF Ultrason® S 6010 (Mw = 68,000 g·mol−1, Mw/Mn = 1.7, (–OH):(–Cl) ratio of 1:1.9) under the same conditions demonstrated 4300 GPU. The siloxane-based materials were used for the selective layer since the thin films based on rubbery polymers do not undergo the same accelerating physical aging as glassy polymers. Two types of materials were screened for the selective layer: synthesized polymethyltrifluoroethylacrylate siloxane-polydecylmethylsiloxane (50F3) copolymer, and polydimethylsiloxane (PDMS). 50F3 siloxane was studied for gas separation applications for the first time. It was shown that the permeance of composite membranes based on high-performance porous supports from the PSF samples synthesized was 3.5 times higher than that from similar composite membranes based on supports from a commercial Ultrason® S 6010 PSF with a permeance value of 4300 GPU for CO2. It was found that the enhanced gas permeance of composite membranes based on the highly permeable porous PSF supports developed was observed for both 50F3 polysiloxane and commercial PDMS. At the same time, the CO2/CO selectivity of the composite membranes with a 50F3-selective layer (9.1–9.3) is 1.5 times higher than that of composite membranes with a PDMS-selective layer. This makes the F-containing 50F3 polysiloxane a promising polymer for CO2/CO separation. Full article
(This article belongs to the Section Polymer Membranes and Films)
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Figure 1
<p>Scheme of PSF synthesis.</p>
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<p>Scheme of the device for measuring gas permeance of composite membranes. Legend: 1,2,2′,5,7,9,12,14—shut-off valves; 3—pressure regulator; 4—membrane cell; 6—pressure sensor; 8—vacuum pump; 10—three-way valve; 11—buffer volume tank; 13—pulse counter combined with the pressure regulator. A1—power supply to the unit; A2—switching of the vacuum pump; A3—switch for setting the overpressure value.</p>
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<p><sup>1</sup>H (<b>a</b>) and <sup>13</sup>C (<b>b</b>) NMR spectra of PSF-1 sample.</p>
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<p>Mechanical properties of dense films made of the PSFs synthesized.</p>
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<p>Dependence of the water contact angle of PSF films on the ratio of (-OH):(-Cl) groups in the polymer.</p>
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<p>Calculated dependencies of the HSP distance for PSF in NMP (<b>a</b>) and water (<b>b</b>) on the ratio of hydroxyl groups in the polymer.</p>
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<p>SEM microphotographs of cross-section and skin layer surfaces of porous PSF supports.</p>
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<p>Dependence of CO<sub>2</sub> permeance of porous PSF supports on the coagulation rate of PSF/NMP/PEG-400 casting solutions (21/49/30 wt. %).</p>
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<p>SEM microphotographs of cross-sections of composite membranes (the selective layer is marked with a red arrow).</p>
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<p>EDX profile of 50F3/Ultrason<sup>®</sup> S 6010 composite membrane. The blue arrow indicates the depth of measurement.</p>
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15 pages, 5188 KiB  
Article
A 3D-Printable Cell Array for In Vitro Breast Cancer Modeling
by Ilaria Arciero, Silvia Buonvino, Valeria Palumbo, Manuel Scimeca and Sonia Melino
Int. J. Mol. Sci. 2024, 25(23), 13068; https://doi.org/10.3390/ijms252313068 - 5 Dec 2024
Viewed by 465
Abstract
Breast cancer is the most common cancer and the second leading cause of cancer-related death in women. In advanced stages of the disease, breast cancer can spread and metastasize to the bone, contributing to malignant progression. The roles of tissue stiffness and remodeling [...] Read more.
Breast cancer is the most common cancer and the second leading cause of cancer-related death in women. In advanced stages of the disease, breast cancer can spread and metastasize to the bone, contributing to malignant progression. The roles of tissue stiffness and remodeling of the tumor microenvironment are relevant in influencing cancer progression and invasiveness, but they are still poorly understood. In this study, we aimed to investigate the effect of bone tissue stiffness on breast cancer cell behavior, using 3D cell–biomaterial systems to model the in vivo conditions. For this purpose, we developed a 3D-printable cell array, which is a tunable and reproducible platform on small scale, where each compartment could mimic the physiological cancer environment with a shape and rigidity close to bone tissue. In this system, we observed that in the highly metastatic breast cancer line MDA-MB-231, embedded in PEG–silk fibroin (PSF) hydrogel spheres in the array’s cavities, increasing stiffness promotes trans-differentiation into osteoblast-like cells and the production of breast microcalcifications. Moreover, we also tested this 3D model as a platform to evaluate the cell response to the therapy, in particular, investigating the drug sensitivity of the cancer cells to chemotherapeutics, observing a decrease in drug resistance over time in the array. Full article
(This article belongs to the Section Molecular Oncology)
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Figure 1
<p>Three-dimensional breast cancer cell culturing in BM array. (<b>A</b>) A graphic representation of a breast tumor mass and a scheme of the array for 3D breast cancer in vitro modeling; (<b>B</b>) a digital image of the MDABM array prototype and a brightfield micrograph of MDAPSF (10 μL) in the BM array; (<b>C</b>) a graphic representation of MDAPSF and a brightfield micrograph of a 3 μL sphere in cell culture medium after 1 day of cell growth; (<b>D</b>) the cell viability WST-1 assay of MDAPSF and of MDABM on day 0 and after 3 days of cell growth. Each result was obtained from three or four independent biological replicates. The error bar indicates S.D. * <span class="html-italic">p</span> value ≤ 0.05, **** <span class="html-italic">p</span> value ≤ 0.0001. The scale bars are of 100 µm.</p>
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<p>MDA cells’ trans-differentiation toward osteoblast-like cells. (<b>A</b>) Confocal fluorescence micrographs of MDAPSF (at cell density of 4 × 10<sup>4</sup> cells/μL) after 3 days of cell growth and of MDA grown on tissue culture plate (TCP) (MDA); expression of RUNX2 was assessed through staining with Ab-RUNX2- Alexa-Fluor 488 nm (in green), and nuclei were stained in blue with Hoechst 33342. For MDAPSF, Z-stack were obtained by overlapping 183 slices, with zoom of 2.5, and by overlapping 52 slices, with zoom of 4.5; for MDA, zoom was 2. (<b>B</b>) Expression of RUNX2 according to Western blot analysis in breast cancer cells after 3 days of cell growth in 2D (MDA) and 3D growth systems (MDAPSF). For quantitative evaluation of protein expression of MDAPSF, each sample was obtained using 3 to 5 microspheres grown separately, so each sample was inherently mediated, and further, two independent experiments were performed. (<b>C</b>) Alizarin Red staining of MDA cells in PSF (MDAPSF) and PSFBM (MDABM) performed after 3 days of cell culture (at cell density of 10<sup>4</sup> cells/μL). (<b>D</b>) Confocal fluorescence micrographs of MDABM (at cell density of 10<sup>4</sup> cells/μL). The Z-stack was obtained by overlapping 103 slices (zoom 1.6). Osteocalcin was stained in green by Ab-Osteocalcin Alexa-Fluor 488 nm, and nuclei were stained blue; (<b>E</b>) osteocalcin expression assessed by Western blot analysis of MDA-MB-231 cells grown in 2D (MDA), MDAPSF, and MDABM after 3 days of cell growth. Protein expression in MDABM and MDAPSF was evaluated using 3 to 5 microspheres grown separately for each sample, and two and three independent experiments were performed, respectively. Error bars indicate S.D. ** <span class="html-italic">p</span> value ≤ 0.01, **** <span class="html-italic">p</span> value ≤ 0.0001. Scale bars are of 10, 20, and 50 μm.</p>
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<p>Effects of BM growth on CAL-27 cell line and TEM analysis of MDABM. (<b>A</b>) Alizarin Red staining of CAL-27BM (at cell density of 10<sup>4</sup> cells/μL), performed after 3 days of cell culture, and confocal fluorescence micrographs of CAL-27BM after 3 days of cell growth in which osteocalcin is stained green and the nuclei are stained blue. (<b>B</b>) TEM micrographs of MDA MB-231 after 3 days of cell growth in BM array; in blue boxes and in red boxes are shown intracellular vesicles and calcified granules, respectively. Scale bars are of 50, 5, 2.5, 2, 0.2, and 0.1 μm and 50 nm.</p>
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<p>Drug resistance of MDABM. (<b>A</b>) Cell viability assay of MDABM treated with 2 μM of doxorubicin for 24 h (+DOXO) on day 0 and after 3 days of cell growth. (<b>B</b>) Cell viability assay of MDABM on day 0 and after 3 days of cell growth. Each result was obtained using three independent biological replicates. Error bars indicate S.D. ** <span class="html-italic">p</span> value ≤ 0.01.</p>
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<p>Effects of biochemical factors released from trans-differentiated osteoblast-like tumor cells on MDA-MB-231 cells. (<b>A</b>) Scheme of the experimental setup: (<b>a</b>) trans-well migration assay and (<b>b</b>) Alizarin Red staining of 2D MDA cells cultured for 48 h in absence (MDA) and presence of MDAPSF (+MDAPSF). (<b>B</b>) Western blot analysis of cyclin D1 and p-ERK1/2 expression MDA and +MDAPSF; cyclin D1 and p-ERK1/2 expression was mediated by three independent biological replicates. (<b>C</b>) Scheme of experimental setup and trans-well cell migration assay of 2D MDA cells cultured for 48 h in absence and presence of MDABM (+MDABM). (<b>D</b>) Expression of cyclin D1 and p-ERK1/2 assessed through Western blot analysis in MDA and +MDABM. Expression of cyclin D1 and p-ERK1/2 was mediated by three independent biological replicates. Error bars indicate S.D. ns = non-significant, * <span class="html-italic">p</span> value ≤ 0.05, ** <span class="html-italic">p</span> value ≤ 0.01, *** <span class="html-italic">p</span> value ≤ 0.0005. Scale bars are of 100, 50, and 20 μm.</p>
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<p>Three-dimensional cell migration assay of MDA cells. A scheme and confocal micrographs of the 3D cell migration assay of MDAPSF (at a cell density of 10<sup>4</sup> cells/μL) in the absence (<b>A</b>) and in the presence (<b>B</b>) of MDABM (MDAPSF-MDABM). MDAPSF or MDAPSF-MDABM was embedded in the outer gel made of PF–fibronectin 8 mg/mL and cultured for 3 days. The nuclei were stained blue with Hoechst 33342 (nuclei staining of live cells). The Z-stacks of (<b>A</b>) were acquired by overlapping the 79 (<b>a</b>), 169 (<b>b</b>), and 199 (<b>c</b>) slices, and in (<b>B</b>) by overlapping the 79 (<b>a</b>), 79 (<b>b</b>), 175 (<b>c</b>), and 191 (<b>d</b>) slices. The scale bars are of 50 and 100 μm.</p>
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13 pages, 1589 KiB  
Article
The Influence of Activated Carbon Particle Size on the Properties and Performance of Polysulfone Composite Membrane for Protein Separation
by Gunawan Setia Prihandana, Aisyah Dewi Muthi’ah, Tutik Sriani and Muslim Mahardika
J. Compos. Sci. 2024, 8(11), 483; https://doi.org/10.3390/jcs8110483 - 19 Nov 2024
Viewed by 662
Abstract
The superiorities provided by polymeric composite membranes in comparison to the original membrane have generated increased attention, particularly in the field of protein separation applications. This work involved the fabrication of polysulfone composite membranes using variable loadings of activated carbon particle sizes, namely, [...] Read more.
The superiorities provided by polymeric composite membranes in comparison to the original membrane have generated increased attention, particularly in the field of protein separation applications. This work involved the fabrication of polysulfone composite membranes using variable loadings of activated carbon particle sizes, namely, 37 µm, 74 µm, 149 µm, and 297 µm. The membranes were fabricated via the phase-inversion method, employing water as the coagulant. In this study, the impact of the AC powder particle sizes on membrane morphology, water contact angle, porosity, average pore size, molecular weight cutoff, pure water flux, and protein rejection was examined. Different membrane morphologies and properties were achieved by incorporating a variety of AC particle sizes. A porous membrane with the maximum pure water flux was generated by the loading of finer AC particles. Concurrently, protein rejection is increasing as a result of the use of AC particles as an infill in the composite membrane. In comparison to all fabricated membranes, the AC filler with a particle size of 149 µm exhibited the highest rejection of the lysozyme protein, reaching up to 73.9%, with a relatively high water permeability of 33 LMH/Bar. In conclusion, this investigation provides recommendations for the selection of AC particle sizes for protein separation in conjunction with PSF ultrafiltration membranes. Full article
(This article belongs to the Topic Advanced Composites Manufacturing and Plastics Processing)
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<p>Experiment setup of the water flux test.</p>
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<p>Water contact angle of the fabricated membranes.</p>
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<p>Water flux of the fabricated membranes.</p>
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<p>Protein rejection of the fabricated membranes.</p>
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<p>Surface morphology SEM images of the fabricated membranes: (<b>a</b>) PSF-AC0; (<b>b</b>) PSF-AC1; (<b>c</b>) PSF-AC2; (<b>d</b>) PSF-AC3; and (<b>e</b>) PSF-AC4.</p>
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<p>Cross section SEM images of the fabricated membranes: (<b>a</b>) PSF-AC0; (<b>b</b>) PSF-AC1; (<b>c</b>) PSF-AC2; (<b>d</b>) PSF-AC3; and (<b>e</b>) PSF-AC4.</p>
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8 pages, 745 KiB  
Communication
Heavy Metal Remediation Using Phosphate-Solubilizing Fungi: From Bioprocess to Application
by Da Tian, Shuo Zhang, Dechao Wang, Liangliang Zhang, Haoming Chen and Xinxin Ye
Agronomy 2024, 14(11), 2638; https://doi.org/10.3390/agronomy14112638 - 8 Nov 2024
Viewed by 542
Abstract
Heavy metal pollution has been a major environmental issue in recent years, seriously threatening land, water sources, agriculture, and human health. The remediation of heavy metal pollution has been a continuously vital issue for current research. Bioremediation is an effective and cost-efficient approach [...] Read more.
Heavy metal pollution has been a major environmental issue in recent years, seriously threatening land, water sources, agriculture, and human health. The remediation of heavy metal pollution has been a continuously vital issue for current research. Bioremediation is an effective and cost-efficient approach to reduce heavy metal toxicity. Phosphate-solubilizing fungi (PSF) have shown promise in heavy metal bioremediation due to their high tolerance and activity levels. However, the full potential of PSF in bioremediation needs further exploration. PSF activity, metabolite production, and environmental conditions can influence their efficiency in remediating heavy metals. These factors play a critical role in the practical application of PSF and necessitate improvement pathways. This article reviews potential strategies to enhance heavy metal remediation using PSF and optimizing bioprocesses and applications. Full article
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<p>Heavy metal bioremediation using phosphate-solubilizing fungi [<a href="#B8-agronomy-14-02638" class="html-bibr">8</a>,<a href="#B9-agronomy-14-02638" class="html-bibr">9</a>].</p>
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20 pages, 20348 KiB  
Article
Optimizing Circular MIMO Array Imaging Using Partial Equivalent Method for Sidelobe Suppression
by Yiming Dai, Zhikun Zheng, Hong Ye, Xu Zhang, Jun Yang, Guangsheng Deng, Ying Li and Zhiping Yin
Remote Sens. 2024, 16(22), 4157; https://doi.org/10.3390/rs16224157 - 7 Nov 2024
Viewed by 427
Abstract
In this paper, we propose a novel approach for circular Multiple-Input Multiple-Output (MIMO) array imaging, termed the Partial Equivalent Method (PEM), aimed at sidelobe suppression. In our method, the imaging process of the circular MIMO array is initially decomposed into bistatic circular synthetic [...] Read more.
In this paper, we propose a novel approach for circular Multiple-Input Multiple-Output (MIMO) array imaging, termed the Partial Equivalent Method (PEM), aimed at sidelobe suppression. In our method, the imaging process of the circular MIMO array is initially decomposed into bistatic circular synthetic aperture radar (BCSAR) components with different bistatic angles. Components with larger bistatic angles produce equivalent channels whose wavenumber spectra are concentrated near zero frequency, leading to significant broadening of the main lobe in the corresponding point spread function (PSF). In traditional MIMO imaging, each transmit–receive antenna pair is considered an equivalent channel, and all these channels are utilized for imaging. However, components with large bistatic angles, when integrated into the MIMO imaging output, result in increased sidelobe levels. To address this issue, we employ the PEM to restrict the range of equivalent channels. This method selectively retains effective channels generated by components with specific bistatic angles, effectively mitigating the adverse effects of BCSAR components with larger bistatic angles. Through point target simulations, electromagnetic simulations, and practical experiments, we demonstrate that the PEM significantly reduces sidelobes and enhances image quality in circular MIMO array imaging. Full article
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<p>The geometry relationship of the imaging system. (<b>a</b>) the side view; (<b>b</b>) the front view.</p>
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<p>Multiple SIMO arrays form a MIMO array.</p>
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<p>Wavenumber spectrum of SIMO and MIMO arrays.</p>
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<p>Multiple BCSAR components with different BAs form a MIMO array.</p>
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<p>Wavenumber spectrum of BCSAR and MIMO arrays.</p>
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<p>The wavenumber spectra for BCSARs. (<b>a</b>) <math display="inline"><semantics> <mrow> <mi>B</mi> <mi>A</mi> <mo>=</mo> <msup> <mn>0</mn> <mo>∘</mo> </msup> </mrow> </semantics></math>; (<b>b</b>) <math display="inline"><semantics> <mrow> <mi>B</mi> <mi>A</mi> <mo>=</mo> <msup> <mn>90</mn> <mo>∘</mo> </msup> </mrow> </semantics></math>; (<b>c</b>) <math display="inline"><semantics> <mrow> <mi>B</mi> <mi>A</mi> <mo>=</mo> <msup> <mn>180</mn> <mo>∘</mo> </msup> </mrow> </semantics></math>.</p>
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<p>PSFs of central point for three BCSARs with different BAs. (<b>a</b>) 2D PSF with <math display="inline"><semantics> <mrow> <mi>B</mi> <mi>A</mi> <mo>=</mo> <msup> <mn>0</mn> <mo>∘</mo> </msup> </mrow> </semantics></math>; (<b>b</b>) 2D PSF with <math display="inline"><semantics> <mrow> <mi>B</mi> <mi>A</mi> <mo>=</mo> <msup> <mn>90</mn> <mo>∘</mo> </msup> </mrow> </semantics></math>; (<b>c</b>) 2D PSF with <math display="inline"><semantics> <mrow> <mi>B</mi> <mi>A</mi> <mo>=</mo> <msup> <mn>180</mn> <mo>∘</mo> </msup> </mrow> </semantics></math>; (<b>d</b>) 1D PSF with <math display="inline"><semantics> <mrow> <mi>B</mi> <mi>A</mi> <mo>=</mo> <msup> <mn>0</mn> <mo>∘</mo> </msup> </mrow> </semantics></math>; (<b>e</b>) 1D PSF with <math display="inline"><semantics> <mrow> <mi>B</mi> <mi>A</mi> <mo>=</mo> <msup> <mn>90</mn> <mo>∘</mo> </msup> </mrow> </semantics></math>; (<b>f</b>) 1D PSF with <math display="inline"><semantics> <mrow> <mi>B</mi> <mi>A</mi> <mo>=</mo> <msup> <mn>180</mn> <mo>∘</mo> </msup> </mrow> </semantics></math>.</p>
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<p>PSFs of multiple points for three BCSARs with different BAs. (<b>a</b>) 2D PSF with <math display="inline"><semantics> <mrow> <mi>B</mi> <mi>A</mi> <mo>=</mo> <msup> <mn>0</mn> <mo>∘</mo> </msup> </mrow> </semantics></math>; (<b>b</b>) 2D PSF with <math display="inline"><semantics> <mrow> <mi>B</mi> <mi>A</mi> <mo>=</mo> <msup> <mn>90</mn> <mo>∘</mo> </msup> </mrow> </semantics></math>; (<b>c</b>) 2D PSF with <math display="inline"><semantics> <mrow> <mi>B</mi> <mi>A</mi> <mo>=</mo> <msup> <mn>180</mn> <mo>∘</mo> </msup> </mrow> </semantics></math>; (<b>d</b>) 1D PSF with <math display="inline"><semantics> <mrow> <mi>B</mi> <mi>A</mi> <mo>=</mo> <msup> <mn>0</mn> <mo>∘</mo> </msup> </mrow> </semantics></math>; (<b>e</b>) 1D PSF with <math display="inline"><semantics> <mrow> <mi>B</mi> <mi>A</mi> <mo>=</mo> <msup> <mn>90</mn> <mo>∘</mo> </msup> </mrow> </semantics></math>; (<b>f</b>) 1D PSF with <math display="inline"><semantics> <mrow> <mi>B</mi> <mi>A</mi> <mo>=</mo> <msup> <mn>180</mn> <mo>∘</mo> </msup> </mrow> </semantics></math>.</p>
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<p>The variation curves of the 1D PSF for different BAs.</p>
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<p>The variation curves of the <math display="inline"><semantics> <msub> <mi>k</mi> <mrow> <mi>m</mi> <mi>a</mi> <mi>x</mi> </mrow> </msub> </semantics></math> and <math display="inline"><semantics> <msub> <mi>k</mi> <mrow> <mi>m</mi> <mi>i</mi> <mi>n</mi> </mrow> </msub> </semantics></math> for different BAs.</p>
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<p>The wavenumber spectra of circular MIMO arrays by two different methods. (<b>a</b>) Traditional method; (<b>b</b>) PEM.</p>
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<p>The central PSFs of circular MIMO arrays by the two methods. (<b>a</b>) 2D PSF result of traditional method; (<b>b</b>) 2D PSF result of PEM with <math display="inline"><semantics> <mrow> <mi>B</mi> <msub> <mi>A</mi> <mrow> <mi>M</mi> <mi>A</mi> <mi>X</mi> </mrow> </msub> <mo>=</mo> <msup> <mn>162</mn> <mo>∘</mo> </msup> </mrow> </semantics></math>; (<b>c</b>) 1D PSF result of traditional method; (<b>d</b>) 1D PSF result of PEM with <math display="inline"><semantics> <mrow> <mi>B</mi> <msub> <mi>A</mi> <mrow> <mi>M</mi> <mi>A</mi> <mi>X</mi> </mrow> </msub> <mo>=</mo> <msup> <mn>162</mn> <mo>∘</mo> </msup> </mrow> </semantics></math>.</p>
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<p>The 1D central PSFs for circular MIMO array by PEM with different <math display="inline"><semantics> <mrow> <mi>B</mi> <msub> <mi>A</mi> <mrow> <mi>M</mi> <mi>A</mi> <mi>X</mi> </mrow> </msub> </mrow> </semantics></math>.</p>
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<p>Curves of ISL and PSL for the central PSFs obtained using the PEM with different <math display="inline"><semantics> <mrow> <mi>B</mi> <msub> <mi>A</mi> <mrow> <mi>M</mi> <mi>A</mi> <mi>X</mi> </mrow> </msub> </mrow> </semantics></math> values.</p>
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<p>The PSFs for three points of circular MIMO arrays by the two methods. (<b>a</b>) 2D PSF result of traditional method; (<b>b</b>) 2D PSF result of PEM with <math display="inline"><semantics> <mrow> <mi>B</mi> <msub> <mi>A</mi> <mrow> <mi>M</mi> <mi>A</mi> <mi>X</mi> </mrow> </msub> <mo>=</mo> <msup> <mn>162</mn> <mo>∘</mo> </msup> </mrow> </semantics></math>; (<b>c</b>) 1D PSF result of traditional method; (<b>d</b>) 1D PSF result of PEM with <math display="inline"><semantics> <mrow> <mi>B</mi> <msub> <mi>A</mi> <mrow> <mi>M</mi> <mi>A</mi> <mi>X</mi> </mrow> </msub> <mo>=</mo> <msup> <mn>162</mn> <mo>∘</mo> </msup> </mrow> </semantics></math>.</p>
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<p>The PSF results for nine points of circular MIMO arrays by the two methods. (<b>a</b>) 2D PSF result of traditional method; (<b>b</b>) 2D PSF result of PEM with <math display="inline"><semantics> <mrow> <mi>B</mi> <msub> <mi>A</mi> <mrow> <mi>M</mi> <mi>A</mi> <mi>X</mi> </mrow> </msub> <mo>=</mo> <msup> <mn>162</mn> <mo>∘</mo> </msup> </mrow> </semantics></math>.</p>
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<p>Target model in FEKO: (<b>a</b>) four metal spheres; (<b>b</b>) a metal pistol.</p>
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<p>The image results of the traditional method. (<b>a</b>) four metal spheres; (<b>b</b>) a metal pistol.</p>
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<p>The image results of PEM. (<b>a</b>) four metal spheres; (<b>b</b>) a metal pistol.</p>
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<p>Experimental setup.</p>
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<p>The experimental results. (<b>a</b>) Optical image of metal spheres; BCSAR imaging with (<b>b</b>) <math display="inline"><semantics> <mrow> <mi>B</mi> <mi>A</mi> <mo>=</mo> <msup> <mn>0</mn> <mo>∘</mo> </msup> </mrow> </semantics></math>; (<b>c</b>) <math display="inline"><semantics> <mrow> <mi>B</mi> <mi>A</mi> <mo>=</mo> <msup> <mn>90</mn> <mo>∘</mo> </msup> </mrow> </semantics></math>; (<b>d</b>) <math display="inline"><semantics> <mrow> <mi>B</mi> <mi>A</mi> <mo>=</mo> <msup> <mn>180</mn> <mo>∘</mo> </msup> </mrow> </semantics></math>.</p>
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<p>The experimental results. (<b>a</b>) Optical image of a pistol; BCSAR imaging with (<b>b</b>) <math display="inline"><semantics> <mrow> <mi>B</mi> <mi>A</mi> <mo>=</mo> <msup> <mn>0</mn> <mo>∘</mo> </msup> </mrow> </semantics></math>; (<b>c</b>) <math display="inline"><semantics> <mrow> <mi>B</mi> <mi>A</mi> <mo>=</mo> <msup> <mn>90</mn> <mo>∘</mo> </msup> </mrow> </semantics></math>; (<b>d</b>) <math display="inline"><semantics> <mrow> <mi>B</mi> <mi>A</mi> <mo>=</mo> <msup> <mn>180</mn> <mo>∘</mo> </msup> </mrow> </semantics></math>.</p>
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<p>The WMI results of metal spheres with (<b>a</b>) <math display="inline"><semantics> <mrow> <mi>B</mi> <msub> <mi>A</mi> <mrow> <mi>M</mi> <mi>A</mi> <mi>X</mi> </mrow> </msub> <mo>=</mo> <msup> <mn>180</mn> <mo>∘</mo> </msup> </mrow> </semantics></math>; (<b>b</b>) <math display="inline"><semantics> <mrow> <mi>B</mi> <msub> <mi>A</mi> <mrow> <mi>M</mi> <mi>A</mi> <mi>X</mi> </mrow> </msub> <mo>=</mo> <msup> <mn>90</mn> <mo>∘</mo> </msup> </mrow> </semantics></math>; (<b>c</b>) <math display="inline"><semantics> <mrow> <mi>B</mi> <msub> <mi>A</mi> <mrow> <mi>M</mi> <mi>A</mi> <mi>X</mi> </mrow> </msub> <mo>=</mo> <msup> <mn>132</mn> <mo>∘</mo> </msup> </mrow> </semantics></math>; (<b>d</b>) <math display="inline"><semantics> <mrow> <mi>B</mi> <msub> <mi>A</mi> <mrow> <mi>M</mi> <mi>A</mi> <mi>X</mi> </mrow> </msub> <mo>=</mo> <msup> <mn>162</mn> <mo>∘</mo> </msup> </mrow> </semantics></math>.</p>
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<p>The imaging results of a pistol with (<b>a</b>) <math display="inline"><semantics> <mrow> <mi>B</mi> <msub> <mi>A</mi> <mrow> <mi>M</mi> <mi>A</mi> <mi>X</mi> </mrow> </msub> <mo>=</mo> <msup> <mn>180</mn> <mo>∘</mo> </msup> </mrow> </semantics></math>; (<b>b</b>) <math display="inline"><semantics> <mrow> <mi>B</mi> <msub> <mi>A</mi> <mrow> <mi>M</mi> <mi>A</mi> <mi>X</mi> </mrow> </msub> <mo>=</mo> <msup> <mn>90</mn> <mo>∘</mo> </msup> </mrow> </semantics></math>; (<b>c</b>) <math display="inline"><semantics> <mrow> <mi>B</mi> <msub> <mi>A</mi> <mrow> <mi>M</mi> <mi>A</mi> <mi>X</mi> </mrow> </msub> <mo>=</mo> <msup> <mn>132</mn> <mo>∘</mo> </msup> </mrow> </semantics></math>; (<b>d</b>) <math display="inline"><semantics> <mrow> <mi>B</mi> <msub> <mi>A</mi> <mrow> <mi>M</mi> <mi>A</mi> <mi>X</mi> </mrow> </msub> <mo>=</mo> <msup> <mn>162</mn> <mo>∘</mo> </msup> </mrow> </semantics></math>.</p>
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14 pages, 5316 KiB  
Article
Study of Polysulfone-Impregnated Hydroxyapatite for Ultrafiltration in Whey Protein Separation
by Tutik Sriani, Muslim Mahardika, Budi Arifvianto, Farazila Yusof, Yudan Whulanza, Gunawan Setia Prihandana and Ario Sunar Baskoro
Polymers 2024, 16(21), 3079; https://doi.org/10.3390/polym16213079 - 31 Oct 2024
Viewed by 665
Abstract
Polysulfone (Psf) ultrafiltration flat-sheet membranes were modified with hydroxyapatite (HA) powder during preparation using the wet-phase inversion method. HA was incorporated to enhance the protein separation capabilities. The asymmetric Psf membranes were synthesized using NMP as the solvent. Through Scanning Electron Microscopy (SEM) [...] Read more.
Polysulfone (Psf) ultrafiltration flat-sheet membranes were modified with hydroxyapatite (HA) powder during preparation using the wet-phase inversion method. HA was incorporated to enhance the protein separation capabilities. The asymmetric Psf membranes were synthesized using NMP as the solvent. Through Scanning Electron Microscopy (SEM) analysis, it was revealed that HA was distributed across the membrane. Incorporating HA led to higher flux, the improved rejection of protein, and enhanced surface hydrophilicity. The permeability flux increased with HA concentration, peaking at 0.3 wt.%, resulting in a 38% improvement to 65 LMH/bar. Whey protein separation was evaluated using the model proteins BSA and lysozyme, representing α-Lactalbumin. The results of protein rejection for the blend membranes indicated that the rejection rates for BSA and lysozyme increased to 97.2% and 73%, respectively. Both the native and blend membranes showed similar BSA rejection rates; however, the blend membranes demonstrated better performance in lysozyme separation, indicating superior selectivity compared to native membranes. The modified membranes exhibited improved hydrophilicity, with water contact angles decreasing from 66° to 53°, alongside improved antifouling properties, indicated by a lower flux decline ratio value. This simple and economical modification method enhances permeability without sacrificing separation efficiency, hence facilitating the scalability of membrane production in the whey protein separation industry. Full article
(This article belongs to the Special Issue Multifunctional Polymer Composite Materials)
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<p>The schematic diagram of the dead-end cell filtration. (1) Nitrogen gas cylinder; (2) Pressure regulator; (3) Pressure gauge; (4) Dead-end cell; (5) Membrane; (6) Permeated water beaker; (7) Electronic weight balance; (8) Weighing environment logger; (9) Computer.</p>
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<p>Morphologies of membrane samples. Cross-sectional images at both low and high magnification are displayed in the first to fourth rows, while the fifth row features top surface micrographs: (<b>a</b>) HA-0.0; (<b>b</b>) HA-0.1; (<b>c</b>) HA-0.2; (<b>d</b>) HA-0.3; (<b>e</b>) HA-0.4; (<b>f</b>) HA-0.5.</p>
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<p>Water contact angle of Psf membranes with varied hydroxyapatite concentrations.</p>
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<p>Permeability flux of Psf membranes with varied HA concentrations.</p>
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<p>Protein rejection of Psf membranes with varied HA concentrations.</p>
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<p>Protein flux of blend membranes: (<b>a</b>) BSA flux; (<b>b</b>) Lysozyme flux.</p>
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<p>Flux decline ratio (FDR); (<b>a</b>) Native Psf membrane; (<b>b</b>) Psf/HA-0.2.</p>
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21 pages, 5577 KiB  
Article
Calcium Silicate Promoting the Upcycling Potential of Polysulfone Medical Waste in Load-Bearing Applications
by Chi-Nan Chang, Jia-Jia Chung, Huei-Yu Jiang and Shinn-Jyh Ding
J. Funct. Biomater. 2024, 15(11), 323; https://doi.org/10.3390/jfb15110323 - 30 Oct 2024
Viewed by 758
Abstract
Polysulfone (PSF) medical waste can be effectively repurposed due to its excellent mechanical properties. Due to the increasing need for load-bearing bone implants, it is crucial to prioritize the development of biocompatible polymer–matrix composites. Calcium silicate (CaSi), known for its osteogenesis and antibacterial [...] Read more.
Polysulfone (PSF) medical waste can be effectively repurposed due to its excellent mechanical properties. Due to the increasing need for load-bearing bone implants, it is crucial to prioritize the development of biocompatible polymer–matrix composites. Calcium silicate (CaSi), known for its osteogenesis and antibacterial properties, is widely used in medical applications. In this study, recycled PSF plastics in fiber or nanoparticle forms and commercial PSF products were used to create PSF-based composites filled with three different amounts (10, 20, and 30 vol%) of CaSi. The green compact was heat-treated at various temperatures. Experimental results showed that the mechanical interlocking of the PSF matrix and CaSi filler occurred due to the liquefaction of PSF fibers or nanoparticles during heat treatment. When the composite contained 20% CaSi, the obtained three-point bending strength exceeded 60 MPa, falling within the reported strength of compact bone. There was a concurrent improvement in the biocompatibility and antibacterial activity of the PSF-based composites with the increasing amount of CaSi. Considering their mechanical properties and antibacterial activity, the 20% CaSi-containing PSF-based composites treated at 240 °C emerged as a promising candidate for bone implant applications. This study demonstrated the feasibility of upcycling medical waste such as PSF as a matrix, opening doors for its potential usage in the medical field. Full article
(This article belongs to the Special Issue Functional Composites for Bone Implants and Osseointegration)
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<p>(<b>A</b>) Optical photograph of the recycled PSF fiber, SEM microscopic images of pieced PSF fiber at (<b>B</b>) low and (<b>C</b>) high magnification, (<b>D</b>) recycled PSF-derived nanoparticles, (<b>E</b>) commercial PSF-derived nanoparticles, and (<b>F</b>) CaSi particles.</p>
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<p>XRD patterns of (<b>A</b>) RFB-based, (<b>B</b>) RNP-based, and (<b>C</b>) CNP-based composites with different matrix/ceramic ratios after heat treatment at different temperatures. (RT: room temperature without heat treatment).</p>
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<p>FTIR spectra of (<b>A</b>) RFB-based, (<b>B</b>) RNP-based, and (<b>C</b>) CNP-based composites with different matrix/ceramic ratios after heat treatment at different temperatures. (RT: room temperature without heat treatment).</p>
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<p>Images photographed for the dimension changes in RFB, RNP, and CNP samples after different firing temperatures. RT: room temperature without heat treatment.</p>
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<p>SEM micrographs of (<b>A</b>) RFB91, (<b>B</b>) RFB82, (<b>C</b>) RFB73, (<b>D</b>) RNP91, (<b>E</b>) RNP82, (<b>F</b>) RNP73, (<b>G</b>) CNP91, (<b>H</b>) CNP82, and (<b>I</b>) CNP73 composites after heat treatment at 240 °C. Arrows indicate CaSi particles.</p>
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<p>Compressive strength (left) and modulus (right) of (<b>A</b>) RFB-, (<b>B</b>) RNP-, and (<b>C</b>) CNP-based composites before (RT) and after different heat treatments (220, 240, and 260 °C). Statistical comparisons were conducted among all samples, and different capital letters indicated significant differences at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Tensile strength (left) and modulus (right) of (<b>A</b>) RFB-, (<b>B</b>) RNP-, and (<b>C</b>) CNP-based composites before (RT) and after different heat treatments (220, 240, and 260 °C). Statistical comparisons were conducted among all samples, and different capital letters indicated significant differences at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Three-point bending strength (left) and modulus (right) of (<b>A</b>) RFB-, (<b>B</b>) RNP-, and (<b>C</b>) CNP-based composites before (RT) and after different heat treatments (220, 240, and 260 °C). Statistical comparisons were conducted among all samples, and different capital letters indicated significant differences at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Cytotoxicity of various composites treated at 240 °C and seeded with L929 cells at different time points. Statistical comparisons were conducted between samples incubated for the same duration, and different capital letters were used to denote significant differences at <span class="html-italic">p</span> &lt; 0.05. Except for the DMSO positive control, all composite samples exhibited more than 70% cell viability.</p>
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<p>The bacteriostatic ratio of the various samples against (<b>A</b>) <span class="html-italic">E. coli</span> and (<b>B</b>) <span class="html-italic">S. aureus</span> bacterial species after culture for short-term (3 h and 6 h) and long-term time points (24 h and 48 h). Statistical comparisons were made between samples incubated at the same time point, and different capital letters indicated significant differences at <span class="html-italic">p</span> &lt; 0.05.</p>
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11 pages, 6579 KiB  
Article
Vertebral Body Tethering for Thoracolumbar Curvatures in Adolescent Idiopathic Scoliosis: Radiographic and Clinical Outcomes at 2–6-Year Follow-Up
by Lily Eaker, Olgerta Mucollari, Noor Maza and Baron Lonner
J. Clin. Med. 2024, 13(21), 6330; https://doi.org/10.3390/jcm13216330 - 23 Oct 2024
Viewed by 732
Abstract
Background: The gold standard treatment for adolescent idiopathic scoliosis (AIS) is posterior spinal fusion (PSF). However, long-term consequences of PSF can include reduced spinal flexibility, back pain, and intervertebral disc degeneration. Vertebral body tethering (VBT) is a non-fusion alternative that preserves motion. We [...] Read more.
Background: The gold standard treatment for adolescent idiopathic scoliosis (AIS) is posterior spinal fusion (PSF). However, long-term consequences of PSF can include reduced spinal flexibility, back pain, and intervertebral disc degeneration. Vertebral body tethering (VBT) is a non-fusion alternative that preserves motion. We investigated the outcomes of VBT for the treatment of thoracolumbar (TL) major AIS in the largest single-surgeon series with a minimum 2-year follow-up (FU). Methods: We performed a retrospective single-center review. Inclusion criteria were AIS, Lenke 5/6 curvature, and skeletally immature Variables were compared using Student’s t-tests, Wilcoxon rank sum tests, Chi-square, and Fisher’s exact tests. Results: A total of 37 consecutive patients, age 14.1 ± 1.6 years, 86.5% F, 35.9 ± 11.5-month FU, were examined. Overall, 27 patients (73%) had Lenke 5 and 10 (27%) had Lenke 6 curvatures. Instrumentation of the TL curve alone was performed in 59.5%, and thoracic (T) and TL in 40.5% of patients. Overall, 45.9% of patients had two tethers placed in the TL spine; no patients had double tethers placed at the main thoracic curves. The TL (51 ± 8° to 20 ± 11°; p < 0.0001) and T (37 ± 13° to 17 ± 10°; p < 0.0001) curvatures improved from baseline to the latest FU. Overall, 89% of patients achieved major Cobb < 35°; the three patients who did not experienced at least one cord breakage or required PSF. T5-T12 kyphosis increased (p = 0.0401) and lumbar lordosis was maintained (p = 0.9236). Both the TL inclinometer (16 ± 4º to 4 ± 2°; p < 0.0001) and T (6 ± 4° to 4 ± 3°; p = 0.0036) measurements improved. There was a 49% tether breakage rate as follows: 60% for single-cord TL constructs and 35% for double cords (p = 0.0991). There was an 8.1% re-operation rate as follows: one conversion to T PSF and revision of the TL tether; one release of the T tether and revision of the TL tether; one screw revision for radiculopathy. One patient was re-admitted for poor pain control. Conclusions: Patients with TL major curvature treated with VBT experienced a high rate of clinically successful outcomes with maintenance of lumbar lordosis and relatively low complication rates at the latest FU. Full article
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<p>This is a 15-year-old male treated with bilateral VBT instrumentation. At 5 years and 4 months post operation, he has returned to all activities.</p>
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<p>This is a 15-year-old female treated with lumbar VBT. At 2 years and 6 months post operation, she has resumed all activities with no complications.</p>
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<p>This is a 13-year-old female who experienced progression of the thoracic curve following tether breakage in the lumbar spine. The patient was revised with fusion of the previously untreated thoracic curvature and addition of a second row of screws and second tether for the thoracolumbar construct.</p>
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<p>This is an 11-year-old female who experienced overcorrection of the thoracolumbar curvature and adding on of the thoracic. A revision operation was performed to release the tether in the thoracic region and revise the thoracolumbar tether.</p>
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26 pages, 9055 KiB  
Article
The Efficiency of Polyester-Polysulfone Membranes, Coated with Crosslinked PVA Layers, in the Water Desalination by Pervaporation
by Izabela Gortat, Jerzy J. Chruściel, Joanna Marszałek, Renata Żyłła and Paweł Wawrzyniak
Membranes 2024, 14(10), 213; https://doi.org/10.3390/membranes14100213 - 7 Oct 2024
Viewed by 1401
Abstract
Composite polymer membranes were obtained using the so-called dry phase inversion and were used for desalination of diluted saline water solutions by pervaporation (PV) method. The tests used a two-layer backing, porous, ultrafiltration commercial membrane (PS20), which consisted of a supporting polyester layer [...] Read more.
Composite polymer membranes were obtained using the so-called dry phase inversion and were used for desalination of diluted saline water solutions by pervaporation (PV) method. The tests used a two-layer backing, porous, ultrafiltration commercial membrane (PS20), which consisted of a supporting polyester layer and an active polysulfone layer. The active layer of PV membranes was obtained in an aqueous environment, in the presence of a surfactant, by cross-linking a 5 wt.% aqueous solution of polyvinyl alcohol (PVA)—using various amounts of cross-linking substances: 50 wt.% aqueous solutions of glutaraldehyde (GA) or citric acid (CA) or a 40 wt.% aqueous solution of glyoxal. An ethylene glycol oligomer (PEG 200) was also used to prepare active layers on PV membranes. Witch its help a chemically cross-linked hydrogel with PVA and cross-linking reagents (CA or GA) was formed and used as an active layer. The manufactured PV membranes (PVA/PSf/PES) were used in the desalination of water with a salinity of 35‰, which corresponds to the average salinity of oceans. The pervaporation method was used to examine the efficiency (productivity and selectivity) of the desalination process. The PV was carried at a temperature of 60 °C and a feed flow rate of 60 dm3/h while the membrane area was 0.005 m2. The following characteristic parameters of the membranes were determined: thickness, hydrophilicity (based on contact angle measurements), density, degree of swelling and cross-linking density and compared with the analogous properties of the initial PS20 backing membrane. The physical microstructure of the cross-section of the membranes was analyzed using scanning electron microscopy (SEM) method. Full article
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<p>A structural formula of tannic acid.</p>
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<p>Diagram of laboratory apparatus for water desalination using the PV process (M—pressure gauge, T—thermometer), arrows show the direction of feed and permeate flow.</p>
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<p>Reaction scheme of the crosslinking reaction of polyvinyl alcohol (PVA) with glutaraldehyde (GA).</p>
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<p>Reaction scheme of the crosslinking reaction of polyvinyl alcohol (PVA) with glyoxal solution.</p>
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<p>Reaction scheme of the crosslinking reaction of polyvinyl alcohol (PVA) with citric acid (CA)—under assumption that only 2 COOH groups of CA reacted with PVA.</p>
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<p>SEM images of the surfaces of selected PVA/PSf/PES membranes: (<b>A</b>) M56; (<b>B</b>) M67; (<b>C</b>) M75; (<b>D</b>) M86; (<b>E</b>) PERVAP 4510.</p>
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<p>Relationship between the swelling degree (<span class="html-italic">S</span>) and the contact angle (δ) for the prepared PVA/PSf/PES membranes.</p>
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<p>SEM image of the surface of the active layer of the M61 membrane containing PEG 200.</p>
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<p>Summary of permeate flux (<span class="html-italic">J<sub>p</sub></span>) and retention degree (<span class="html-italic">R</span>) values after the water desalination process by PV method (<span class="html-italic">T</span> = 60 °C, <span class="html-italic">Q<sub>f</sub></span> = 60 dm<sup>3</sup>/h) for membranes crosslinked with selected crosslinking agents.</p>
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<p>The summary of the influence of the type of the surfactant on the efficiency (<span class="html-italic">J<sub>p</sub></span>) and selectivity (<span class="html-italic">R</span>) of selected PVA/PSf/PES membranes for the water desalination process by PV (<span class="html-italic">T</span> = 60 °C, <span class="html-italic">Q<sub>f</sub></span> = 60 dm<sup>3</sup>/h).</p>
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<p>The relationship between cross-linking density (<span class="html-italic">υ</span>) and permeate flux of developed membranes (<span class="html-italic">J<sub>p</sub></span>). The bars on the graph indicate the cross-linking density—left axis; Dots indicate the permeate stream—right axis.</p>
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17 pages, 5612 KiB  
Review
TFE3-Rearranged Tumors of the Kidney: An Emerging Conundrum
by Anna Caliò, Stefano Marletta, Matteo Brunelli, Pietro Antonini, Filippo Maria Martelli, Lisa Marcolini, Lavinia Stefanizzi and Guido Martignoni
Cancers 2024, 16(19), 3396; https://doi.org/10.3390/cancers16193396 - 4 Oct 2024
Viewed by 1156
Abstract
Background: Identical translocations involving the TFE3 gene and various partners have been found in both renal and soft tissue tumors, like alveolar soft part sarcoma (ASPSCR1), ossifying fibromyxoid tumor (PHF1), epithelioid hemangioendothelioma, and the clear cell stromal tumor [...] Read more.
Background: Identical translocations involving the TFE3 gene and various partners have been found in both renal and soft tissue tumors, like alveolar soft part sarcoma (ASPSCR1), ossifying fibromyxoid tumor (PHF1), epithelioid hemangioendothelioma, and the clear cell stromal tumor of the lung (YAP1). Methods: Herein, we review in detail the clinicopathologic and molecular data of TFE3-rearranged renal tumors and propose our perspective, which may shed light on this emerging conundrum. Results: Among the kidney tumors carrying TFE3 translocations, most are morphologically heterogeneous carcinomas labeling for the tubular marker PAX8. The others are mesenchymal neoplasms known as PEComas, characterized by epithelioid cells co-expressing smooth muscle actin, cathepsin-K, melanogenesis markers, and sometimes melanin pigment deposition. Over the past 30 years, numerous TFE3 fusion partners have been identified, with ASPL/ASPSCR1, PRCC, SFPQ/PSF, and NONO being the most frequent. Conclusions: It is not well understood why similar gene fusions can give rise to renal tumors with different morpho-immunophenotypes, which may contribute to the recent disagreement regarding their classification. However, as these two entities, respectively, epithelial and mesenchymal in nature, are widely recognized by the pathology community and their clinicopathologic features well established, we overall believe it is still better to retain the names TFE3-rearranged renal cell carcinoma and TFE3-rearranged PEComa. Full article
(This article belongs to the Section Cancer Pathophysiology)
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<p>Structure of the TFE3 gene (<b>A</b>). Physiologically, the TFE3 transcriptional factor works as a dimer with other MiTF/TFE family proteins. In nutrient-replete settings, these complexes are recruited to the lysosomal membranes by amino acids and RagGTases such as RagA and RagC, which allow MTORC1-mediated phosphorylation and, consequently, ubiquitination by CUL1<sup>β-TrCP1/2</sup> and proteasomal degradation. On the other hand, the lack of nutrients in starvation/hypoxic conditions lets TFE3 translocate to the cell nucleus, where it can modulate the transcription of key downstream genes involved in lysosomal activity, autophagy, and other catabolic processes (<b>B</b>). AD: activation domain; bHLH: basic helix–loop–helix domain; LZ: leucine zipper domain.</p>
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<p>Schematic representation of a <span class="html-italic">TFE3::SFPQ</span> fusion, with the breakpoints occurring at exon 5 of the <span class="html-italic">TFE3</span> gene (mapped at chromosome 1) and exon 9 of the <span class="html-italic">SFPQ</span> gene (located at chromosome 1), respectively.</p>
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<p>TFE3-rearranged renal cell carcinoma morphological variability, immunohistochemical and molecular findings. A case showing solid–trabecular neoplasms made up of large eosinophilic cells intermingled with several psammoma bodies (<b>A</b>). Another one revealed a papillary architecture (<b>B</b>), strongly and diffusely labeling for cathepsin K (<b>C</b>) and PAX8 (<b>D</b>).</p>
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<p>Positive TFE3 immunohistochemical staining in an example of TFE3-rearranged renal cell carcinoma (<b>A</b>). FISH in TFE3-rearranged renal cell carcinoma. The distant red and green signals demonstrate the <span class="html-italic">TFE3</span> gene translocation using a break-apart probe (<b>B</b>).</p>
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<p>Genetic fusion pattern distribution among TFE3-rearranged PEComas from different sites, highlighting the higher frequency of kidney tumors [<a href="#B39-cancers-16-03396" class="html-bibr">39</a>,<a href="#B42-cancers-16-03396" class="html-bibr">42</a>,<a href="#B76-cancers-16-03396" class="html-bibr">76</a>,<a href="#B77-cancers-16-03396" class="html-bibr">77</a>,<a href="#B78-cancers-16-03396" class="html-bibr">78</a>,<a href="#B79-cancers-16-03396" class="html-bibr">79</a>,<a href="#B80-cancers-16-03396" class="html-bibr">80</a>,<a href="#B81-cancers-16-03396" class="html-bibr">81</a>,<a href="#B82-cancers-16-03396" class="html-bibr">82</a>,<a href="#B83-cancers-16-03396" class="html-bibr">83</a>,<a href="#B84-cancers-16-03396" class="html-bibr">84</a>] compared to the other organs (<b>A</b>). Break-point distribution in SFPQ/PFS-TFE3-rearranged PEComas and renal cell carcinomas (<b>B</b>).</p>
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<p>Conventional PEComa composed of spindle cells arranged in a fascicular pattern (<b>A</b>). TFE3-rearranged PEComa made up of clear to eosinophilic cells displaying a nested to solid carcinoma architecture, not uncommonly with melanin pigment deposition (<b>B</b>). FISH images from conventional PEComa (<b>C</b>) and TFE3-rearranged PEComa (<b>D</b>), the latter revealing multiple breaks of the investigated probes witnessing an underlying genetic fusion. As for immunohistochemistry, TFE3-rearranged PEComas usually stain positive for melanocytic markers, like HMB45 (<b>E</b>), and cathepsin K (<b>F</b>).</p>
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14 pages, 5605 KiB  
Article
3D Multi-Phase Sub-Pixel PSF Estimation Based on Space Debris Detection System
by Fan Bu, Dalei Yao and Yan Wen
Photonics 2024, 11(10), 933; https://doi.org/10.3390/photonics11100933 - 3 Oct 2024
Viewed by 638
Abstract
The distribution of diffuse spot energy can be used to sensitively evaluate the aberrations and defects of optical systems. Therefore, the objective and quantitative measurement of diffuse spot parameters is an important means to control the detection quality of space debris detection systems. [...] Read more.
The distribution of diffuse spot energy can be used to sensitively evaluate the aberrations and defects of optical systems. Therefore, the objective and quantitative measurement of diffuse spot parameters is an important means to control the detection quality of space debris detection systems. At present, the existing optical system dispersion measurement method can only judge whether the energy distribution meets the index. However, these methods ca not provide an objective quantitative basis to guide the installation process. To solve this problem, a mathematical simulation model of 3D multi-phase sub-pixel PSF distribution is proposed. According to the relation between the CCD target plane and the theoretical image plane (focal plane, defocus, and deflection), the diffuse spot distribution of the optical system is simulated with different phase combinations. Then, Pearson Correlation Coefficient (PCC) is used to evaluate the matching similarity of the diffuse spot image. The simulation results show that when the PCC is greater than 0.96, the distribution of the two diffuse spots can be identified as matching. This also confirms the accuracy of the proposed PSF model. Then, the focusing deviation of the system being tested can be analyzed according to the phase size of the diffuse spot simulation image. This method can quickly and accurately guide the focal surface installation and testing of the system. Therefore, the purpose of improving the detection accuracy of space debris is achieved. It also provides a quantitative basis for the engineering application of optical detection systems in the future. Full article
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<p>Radial profiles of original and parameterized PSFs at λ = 0.5 µm and λ = 2.2 µm.</p>
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<p>Diffraction limited parameters and intensity distribution of airy spot.</p>
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<p>Relationship between the CCD target plane and the theoretical image plane.</p>
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<p>Energy distributions of focal plane, defocus, and deflection. (<b>a</b>) focal plane. (<b>b</b>) defocus. (<b>c</b>) deflection.</p>
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<p>Phase of star point.</p>
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<p>One-dimensional PSF reconstruction via multi-phase.</p>
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<p>The simulated energy distribution in the focal plane state.</p>
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<p>The simulated energy distribution in the defocusing state.</p>
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<p>The simulated energy distribution in the deflection state.</p>
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<p>Detection system diffuse spot measuring device.</p>
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<p>The distribution of diffuse spots in the actual detection system.</p>
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<p>Comparison of energy distribution between simulated diffuse spot simulation images and the actual detection system’s diffuse spot images.</p>
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<p>Comparison of energy distribution between simulated diffuse spot simulation images and the actual detection system’s diffuse spot images.</p>
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16 pages, 1201 KiB  
Systematic Review
Recommended Physiotherapy Modalities for Oncology Patients with Palliative Needs and Its Influence on Patient-Reported Outcome Measures: A Systematic Review
by Luna Gauchez, Shannon Lauryn L. Boyle, Shinfu Selena Eekman, Sarah Harnie, Lore Decoster, Filip Van Ginderdeuren, Len De Nys and Nele Adriaenssens
Cancers 2024, 16(19), 3371; https://doi.org/10.3390/cancers16193371 - 1 Oct 2024
Viewed by 1102
Abstract
Background: This review aims to explore the role of physiotherapy in early and traditional palliative care (PC) for oncology patients, focusing on its impact on six patient-reported outcomes (PROMs), namely fatigue, pain, cachexia, quality of life (QoL), physical functioning (PHF), and psychosocial functioning [...] Read more.
Background: This review aims to explore the role of physiotherapy in early and traditional palliative care (PC) for oncology patients, focusing on its impact on six patient-reported outcomes (PROMs), namely fatigue, pain, cachexia, quality of life (QoL), physical functioning (PHF), and psychosocial functioning (PSF). The purpose is to assess the effectiveness of various physiotherapy interventions and identify gaps in the current research to understand their potential benefits in PC better. Methods: A systematic literature search was conducted across PubMed, Embase, and Web of Science, concluding on 21 December 2023. Two independent reviewers screened the articles for inclusion. The Cochrane Risk of Bias Tool 2 was employed to assess the risk of bias, while the GRADE approach was used to evaluate the certainty of the evidence. Results: Nine randomized controlled trials (RCTs) were included, with most showing a high risk of bias, particularly in outcome measurement and missing data. Cognitive behavioral therapy (CBT) was the only intervention that significantly reduced fatigue, enhanced PHF, and improved QoL and emotional functioning. Graded exercise therapy (GET) did not yield significant results. Combined interventions, such as education with problem-solving or nutritional counseling with physical activity, showed no significant effects. Massage significantly improved QoL and reduced pain, while physical application therapies were effective in pain reduction. Mindful breathing exercises (MBE) improved QoL but had a non-significant impact on appetite. The overall certainty of the evidence was low. Conclusions: Physiotherapy can positively influence PROMs in oncology PC; however, the low quality and high risk of bias in existing studies highlight the need for more rigorous research to confirm these findings and guide clinical practice. Full article
(This article belongs to the Special Issue Physiotherapy in Advanced Cancer and Palliative Care)
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<p>PRISMA Flowchart. This PRISMA 2020 flowchart is based on the PRISMA 2020 statement and has been adapted in accordance with the Creative Commons Attribution 4.0 (CC BY 4.0) license. Source: Page et al. (2021), PRISMA 2020 statement [<a href="#B18-cancers-16-03371" class="html-bibr">18</a>].</p>
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<p>RoB [<a href="#B19-cancers-16-03371" class="html-bibr">19</a>,<a href="#B20-cancers-16-03371" class="html-bibr">20</a>,<a href="#B21-cancers-16-03371" class="html-bibr">21</a>,<a href="#B22-cancers-16-03371" class="html-bibr">22</a>,<a href="#B23-cancers-16-03371" class="html-bibr">23</a>,<a href="#B24-cancers-16-03371" class="html-bibr">24</a>,<a href="#B25-cancers-16-03371" class="html-bibr">25</a>,<a href="#B26-cancers-16-03371" class="html-bibr">26</a>,<a href="#B27-cancers-16-03371" class="html-bibr">27</a>].</p>
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<p>Summary RoB—as a percentage.</p>
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