[go: up one dir, main page]

 
 
Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Journals

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Article Types

Countries / Regions

remove_circle_outline
remove_circle_outline
remove_circle_outline

Search Results (388)

Search Parameters:
Keywords = three-dimensional environmental structure

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
22 pages, 1028 KiB  
Review
Genetic Basis of Tillering Angle from Other Plants to Wheat: Current Progress and Future Perspectives
by Xiaohong Chen, Tingshu Lei, Yuming Yan, Mengyu Sun, Tao Zhong, Baolin Wu, Hanxi Liu, Chao Zhang, Fengli Sun and Yajun Xi
Plants 2024, 13(22), 3237; https://doi.org/10.3390/plants13223237 (registering DOI) - 18 Nov 2024
Abstract
Plant architecture is an important agronomic trait that impacts crop yield. The tiller angle is a critical aspect of the plant’s structural organization, which is influenced by both internal and external factors. The genetic mechanisms underlying the tiller angle have been extensively investigated [...] Read more.
Plant architecture is an important agronomic trait that impacts crop yield. The tiller angle is a critical aspect of the plant’s structural organization, which is influenced by both internal and external factors. The genetic mechanisms underlying the tiller angle have been extensively investigated in other plants. However, research on wheat is relatively limited. Additionally, mechanics has emerged as a connection between biochemical signaling and the development of three-dimensional biological forms. It not only reveals how physical interactions at the cellular level influence overall morphogenesis but also elucidates the interplay between these mechanical processes and molecular signaling pathways that collectively determine plant morphology. This review examines the recent advancements in the study of tillering angle in wheat and other plants. It discusses progress in research ranging from observable characteristics to the regulation of genes, as well as the physiological and biochemical aspects, and the adaptability to environmental factors. In addition, this review also discusses the effects of mechanical on plant growth and development, and provides ideas for the study of mechanical regulation mechanism of tillering angle in wheat. Consequently, based on the research of other plants and combined with the genetic and mechanical principles, this approach offers novel insights and methodologies for studying tillering in wheat. This interdisciplinary research framework not only enhances our understanding of the mechanisms underlying wheat growth and development but may also uncover the critical factors that regulate tillering angle, thereby providing a scientific foundation for improving wheat yield and adaptability. Full article
Show Figures

Figure 1

Figure 1
<p>Different growth habits of wheat during overwintering period.</p>
Full article ">Figure 2
<p>A Core Regulatory Pathway Controlling Rice Tiller Angle Mediated by the <span class="html-italic">LA1</span>-Dependent Asymmetric Distribution of Auxin. Note: The red arrow denotes positive regulation, while the blue arrow denotes negative regulation. Loss of <span class="html-italic">LA1</span> function enhances PAT, leading to an uneven distribution of auxin, which induces asymmetric expression of auxin response factors <span class="html-italic">WOX6</span> and <span class="html-italic">WOX11</span>, reduces stem gravity, and results in an increased tiller angle. <span class="html-italic">HSFA2D</span>, an upstream positive regulator of <span class="html-italic">LA1</span>-dependent auxin asymmetrical distribution, reduces the expression of the <span class="html-italic">LA1</span> gene when its function is lost. <span class="html-italic">HOX1</span> and <span class="html-italic">HOX28</span> are positive regulators upstream of <span class="html-italic">HSFA2D</span>, regulating tillering angle by inhibiting the <span class="html-italic">HSFA2D-LA1</span> pathway and controlling the asymmetric distribution of auxin, thereby increasing the tillering angle. BRXL4, a <span class="html-italic">LA1</span>-interacting protein, affects the localization of LA1 and the tiller angle through physical interaction. Normally, a lower OsBRXL4/<span class="html-italic">LA1</span> ratio maintains a smaller tiller angle; however, an increase in OsBRXL4 leads to a gradual increase in the tillering angle due to decreased nuclear localization of <span class="html-italic">LA1</span>. The <span class="html-italic">LA3</span>-<span class="html-italic">LA2</span>-<span class="html-italic">OspPGM</span> complex acts on the same pathway upstream of <span class="html-italic">LA1</span> to mediate the asymmetric distribution of auxin and negatively regulate the tillering angle of rice. Loss of <span class="html-italic">OsPINb</span> function promotes PAT, resulting in an increased tiller angle, while overexpression of OsPIN2 leads to an increased tiller angle by inhibiting <span class="html-italic">LA1</span>. The OsmiR167a-<span class="html-italic">OsARF12/17/25</span> module regulates the tiller angle through auxin-mediated asymmetric distribution of <span class="html-italic">WOX6</span> and <span class="html-italic">WOX11</span>.</p>
Full article ">
27 pages, 6162 KiB  
Article
Numerical Study of the Nonlinear Soil–Pile–Structure Interaction Effects on the Lateral Response of Marine Jetties
by Marios Koronides, Constantine Michailides, Panagiotis Stylianidis and Toula Onoufriou
J. Mar. Sci. Eng. 2024, 12(11), 2075; https://doi.org/10.3390/jmse12112075 - 17 Nov 2024
Viewed by 193
Abstract
This study presents three-dimensional finite element analyses of two marine structures subjected to lateral loading to approximate environmental forces (e.g., wind, waves, currents, earthquakes). The first structure is a marine jetty supported by twenty-four piles, representative of an existing structure in Cyprus, while [...] Read more.
This study presents three-dimensional finite element analyses of two marine structures subjected to lateral loading to approximate environmental forces (e.g., wind, waves, currents, earthquakes). The first structure is a marine jetty supported by twenty-four piles, representative of an existing structure in Cyprus, while the second is a simplified four-pile marine structure. Soil–pile interaction is modelled using nonlinear p-y, τ-z, and q-z springs that are distributed along the piles, while steel plasticity is also considered. This study examines the relationship between failure modes, deformation modes, and plastic hinge locations with soil behaviour and soil reaction forces. It also aims at investigating the behaviour of the above structures in lateral loading and quantifying the consequences of unrealistic assumptions such as soil and steel linearity or tension-resistant q-z springs. The results indicate that such assumptions can lead to the wrong prediction of failure modes, plastic hinges, and critical elements while emphasising the crucial role of soil nonlinearity and axial pile–soil behaviour on the structural response. It is demonstrated that the dominant nonlinear sources relevant to this study, whether soil nonlinearity, plastic hinge formation, or a combination of the two, are primarily influenced by the axial capacity of soil–pile foundation systems, particularly their tensile component. Full article
(This article belongs to the Section Ocean Engineering)
Show Figures

Figure 1

Figure 1
<p>Reference marine structure situated off the coast of Vasiliko, Cyprus: (<b>a</b>) view of the entire jetty, (<b>b</b>) T-junction’s closer view.</p>
Full article ">Figure 2
<p>View of the platform deck’s underside, depicting the connections between the piles and the deck. It also includes a schematic representation of the pile positions and their inclination directions, as well as details regarding their cross-sectional area and length.</p>
Full article ">Figure 3
<p>Soil stratigraphy and material characterisation below the T-junction.</p>
Full article ">Figure 4
<p>Profiles of small-strain Young’s modulus derived using Equations (2) and (3), as proposed by [<a href="#B42-jmse-12-02075" class="html-bibr">42</a>,<a href="#B46-jmse-12-02075" class="html-bibr">46</a>], respectively, with the assumed profile superimposed.</p>
Full article ">Figure 5
<p>FE model of the SPSI<sup>jetty</sup> system shown in (<b>a</b>) isoparametric, (<b>b</b>) plan (x-y), (<b>c</b>) x-z side, and (<b>d</b>) y-z side views.</p>
Full article ">Figure 6
<p>FE model of the SPSI<sup>8×8</sup> system shown in (<b>a</b>) isoparametric, (<b>b</b>) x-z side, and (<b>c</b>) plan (x-y) views.</p>
Full article ">Figure 7
<p>Stress–strain behaviour of steel input in the analyses.</p>
Full article ">Figure 8
<p>Impact of steel plasticity and nonlinear behaviour of springs on the force–displacement response of SPSI<sup>8×8</sup> marine structure. The stages of plastic hinge formation are illustrated for analyses involving elastoplastic steel.</p>
Full article ">Figure 9
<p>Sum of T, Q and P reactions forces of nonlinear springs acting on the −x and +x piles, computed from analyses involving either elastic or elastoplastic steel.</p>
Full article ">Figure 10
<p>Sum of T, Q and P reactions forces of linear springs acting on the −x and +x piles, computed from analyses involving either elastic or elastoplastic steel.</p>
Full article ">Figure 11
<p>Sequence of plastic hinge formation (indicated by numbering) in the SPSI<sup>8×8</sup> marine structure, as predicted by analyses involving (<b>a</b>) linear springs, and (<b>b</b>) nonlinear springs. Distribution of plastic strains is plotted at the last converged increment of the analyses.</p>
Full article ">Figure 12
<p>Impact of steel plasticity, springs nonlinearity and tension allowance of the pile tip springs on the force–displacement response of the SPSI<sup>jetty</sup>.</p>
Full article ">Figure 13
<p>Variation in all reaction forces (T, Q and P) of the springs attached on the centre (C) and rear (R) piles, as shown in <a href="#jmse-12-02075-f005" class="html-fig">Figure 5</a>b, with applied lateral force. The results are produced by EPsteel analyses that use either linear or nonlinear springs (nonlinear q-z springs are tensionless).</p>
Full article ">Figure 14
<p>Variation in all reaction forces (T, Q and P) of the springs attached on the centre (C) and rear (R) piles, as shown in <a href="#jmse-12-02075-f005" class="html-fig">Figure 5</a>b, with applied lateral force. The results are produced by EPsteel and nonlinear analyses with either tensionless or tension-resistant q-z.</p>
Full article ">Figure 15
<p>Plastic strain accumulation on the piles predicted by the analysis with linear springs, illustrated in (<b>a</b>) plan (x-y) view, and (<b>b</b>) side (x-z) view. The numbering indicates the sequence of hinge formation. The side view includes both initial (green) and deformed (black) structures, with displacements exaggerated by a factor of 5. All results are from the last converged increment of the analysis.</p>
Full article ">Figure 16
<p>Plastic strain accumulation on the piles predicted by the analysis with nonlinear springs and tensionless q-z springs, illustrated in (<b>a</b>) plan (x-y) view, and (<b>b</b>) side (x-z) view. The numbering indicates the sequence of hinge formation. The side view includes both initial (green) and deformed (black) structures, with displacements exaggerated by a factor of 5. All results are from the last converged increment of the analysis.</p>
Full article ">Figure 17
<p>Plastic strain accumulation on the piles predicted by the analysis with nonlinear springs and tension-resistant q-z springs, illustrated in (<b>a</b>) plan (x-y) view, and (<b>b</b>) side (x-z) view. The numbering indicates the sequence of hinge formation. The side view includes both initial (green) and deformed (black) structures, with displacements exaggerated by a factor of 5. All results are from the last converged increment of the analysis.</p>
Full article ">Figure 18
<p>(<b>a</b>) Axial force and (<b>b</b>) bending moments acting on various cross-sections (as shown in <a href="#jmse-12-02075-f015" class="html-fig">Figure 15</a>) plotted against the platform’s horizontal displacement.</p>
Full article ">Figure A1
<p>T-z spring curves input in the numerical model for (<b>a</b>) dense sand and (<b>b</b>) Marl layers.</p>
Full article ">Figure A2
<p>Q-z spring curves input in the numerical model at pile tips.</p>
Full article ">Figure A3
<p>P-y spring curves input in the numerical model for (<b>a</b>) dense sand and (<b>b</b>) Marl layers.</p>
Full article ">
13 pages, 7596 KiB  
Article
A Two-Step Synthesis of Porous Nitrogen-Doped Graphene for Electrochemical Capacitors
by Jiahao Li, Zhenjia Wu, Rong Huang, Anbang Ge and Jie Ying
Int. J. Mol. Sci. 2024, 25(22), 12297; https://doi.org/10.3390/ijms252212297 - 15 Nov 2024
Viewed by 295
Abstract
Porous nitrogen-doped graphene (PNG) materials with high conductivity, high surface area, and chemical stability have displayed superior performance in electrochemical capacitors. However, previously reported methods for fabricating PNG render the processes expensive, hard to control, limited in production, and unsafe as well, thus [...] Read more.
Porous nitrogen-doped graphene (PNG) materials with high conductivity, high surface area, and chemical stability have displayed superior performance in electrochemical capacitors. However, previously reported methods for fabricating PNG render the processes expensive, hard to control, limited in production, and unsafe as well, thus largely restricting their practical applications. Herein, we present a facile two-step calcination method to prepare PNG using petroleum asphalt as the carbon source to provide the original three-dimensional porous structure directly and using environmentally friendly and high nitrogen content urea as the nitrogen source without adding any etching agent. The porous structure in PNG can largely increase its specific surface area, and the introduction of nitrogen atoms can effectively increase the degree of defects and improve the wettability of PNG. As a result, PNG displays a high specific capacitance of 157 F g−1 at a current density of 1 A g−1 and cycling stability while maintaining 98.68% initial capacitance after 10,000 cycles. Full article
(This article belongs to the Special Issue Recent Research of Nanomaterials in Molecular Science)
Show Figures

Figure 1

Figure 1
<p>Scheme illustration of synthesis of PNG-x.</p>
Full article ">Figure 2
<p>SEM images of (<b>a</b>,<b>b</b>) PNG-0.6, (<b>c</b>) PNG-0, (<b>d</b>) PNG-1.2, (<b>e</b>) PNG-1.5, (<b>f</b>) PNG-2.0.</p>
Full article ">Figure 3
<p>(<b>a</b>,<b>b</b>) TEM images of PNG-0.6, (<b>c</b>) HAADF-STEM images of PNG-0.6, (<b>d</b>–<b>f</b>) EDS elemental mappings of C, N, and O, (<b>g</b>) water drops on PNG-x.</p>
Full article ">Figure 4
<p>(<b>a</b>) XRD patterns of PNG-x, (<b>b</b>) N<sub>2</sub> adsorption and desorption isotherm curves of PNG-x, (<b>c</b>) diameter distribution curves of PNG-x, (<b>d</b>) Raman spectra of PNG-x.</p>
Full article ">Figure 5
<p>(<b>a</b>) XPS survey spectra of PNG-x, XPS high-resolution N 1s spectra of (<b>b</b>) PNG-0.6, (<b>c</b>) PNG-0, (<b>d</b>) PNG-1.2, (<b>e</b>) PNG-1.6, and (<b>f</b>) PNG-2.0.</p>
Full article ">Figure 6
<p>(<b>a</b>) CV curves of PNG-x at 100 mV s<sup>−1</sup>, (<b>b</b>) GCD curves of PNG-x at 1 A g<sup>−1</sup>.</p>
Full article ">Figure 7
<p>(<b>a</b>) CV curves at different scan rates for the PNG-0.6. (<b>b</b>) GCD curves at different current densities for PNG-0.6, (<b>c</b>) the specific capacitance versus current density for PNG-0.6, (<b>d</b>) Nyquist plots of PNG-x.</p>
Full article ">Figure 8
<p>(<b>a</b>) Cycling stability of PNG-0.6, (<b>b</b>) The first, 2000th, 4000th, 6000th, 8000th, 10,000th CV curves of the PNG-0.6 at 200 mV s<sup>−1</sup>.</p>
Full article ">
12 pages, 3672 KiB  
Article
Amino-Functionalized Metal–Organic Framework-Mediated Cellulose Aerogels for Efficient Cr(VI) Reduction
by Fan Yang, Dandan Hao, Miaomiao Wu, Bo Fu and Xiongfei Zhang
Polymers 2024, 16(22), 3162; https://doi.org/10.3390/polym16223162 - 13 Nov 2024
Viewed by 348
Abstract
Industrialization activities have increased the discharge of wastewater that is polluted with hexavalent chromium (Cr(VI)), posing risks to ecosystems and humans. The photocatalytic reduction of Cr(VI) is viewed as a promising method for the removal of Cr(VI) species. However, developing photocatalysts with the [...] Read more.
Industrialization activities have increased the discharge of wastewater that is polluted with hexavalent chromium (Cr(VI)), posing risks to ecosystems and humans. The photocatalytic reduction of Cr(VI) is viewed as a promising method for the removal of Cr(VI) species. However, developing photocatalysts with the desired catalytic activity, recyclability, and reusability remains a challenge. Herein, a composite aerogel was designed and fabricated with a Ti-based metal–organic framework (MIL-125-NH2) and carboxylated nanocellulose. MIL-125-NH2 presents a strong visible-light response, and the interactions between the amino groups of MIL-125-NH2 and the carboxyl groups of cellulose produce a strong interface affinity in the composites. The as-prepared aerogels exhibited a micro/macroporous structure. At an optimal MIL-125-NH2 loading of 55 wt%, the MC-5 sample showed a specific surface area of 582 m2·g−1. MC-5 achieved a photocatalytic Cr(VI) removal efficiency of 99.8%. Meanwhile, the aerogel-type photocatalysts demonstrated good stability and recycling ability, as MC-5 maintained a removal rate of 82% after 10 cycles. This work sheds light on the preparation of novel photocatalysts with three-dimensional structures for environmental remediation. Full article
(This article belongs to the Special Issue Polymers for Environmental Remediation and Energy Regeneration)
Show Figures

Figure 1

Figure 1
<p>(<b>a</b>,<b>b</b>) XRD patterns and (<b>c</b>,<b>d</b>) FT-IR spectra of the C-A, MIL-125-NH<sub>2</sub>, and composite aerogels.</p>
Full article ">Figure 2
<p>SEM images of (<b>a</b>) pristine MIL-125-NH<sub>2</sub> powder, (<b>b</b>) C-A aerogel, (<b>c</b>,<b>d</b>) hybrid MC-5 aerogel, and (<b>e</b>) high-resolution view of MC-5.</p>
Full article ">Figure 3
<p>N<sub>2</sub> sorption isotherms of the C-A, MIL-125-NH<sub>2</sub>, and composite MC-5 aerogels.</p>
Full article ">Figure 4
<p>XPS spectra: (<b>a</b>) full survey of C-A, MIL-125-NH<sub>2</sub>, and MC-5 samples. High-resolution spectra for (<b>b</b>) C 1s, (<b>c</b>) O 1s, and (<b>d</b>) Ti 2p elements.</p>
Full article ">Figure 5
<p>(<b>a</b>) Photocatalytic Cr(VI) reduction performance of different samples, (<b>b</b>) effects of pH on Cr(VI) reduction with MC-5, (<b>c</b>) effects of initial Cr(VI) concentration on Cr(VI) reduction, and (<b>d</b>) cyclic photocatalytic removal performance of Cr(VI) with MC-5.</p>
Full article ">Figure 6
<p>(<b>a</b>) UV–vis diffuse reflectance spectra of different samples, (<b>b</b>) (αhν)<sup>2</sup> versus hν curves of MIL-125-NH<sub>2</sub> and MC-5, (<b>c</b>,<b>d</b>) PL spectra of different samples.</p>
Full article ">Figure 7
<p>The proposed photocatalytic mechanism for Cr(VI) reduction with the composite aerogel.</p>
Full article ">Scheme 1
<p>Schematic illustration of the fabrication process of the composite MIL-125-NH<sub>2</sub>/nanocellulose aerogels.</p>
Full article ">
17 pages, 10449 KiB  
Article
The Effect Characterization of Lens on LNAPL Migration Based on High-Density Resistivity Imaging Technique
by Guizhang Zhao, Jiale Cheng, Menghan Jia, Hongli Zhang, Hongliang Li and Hepeng Zhang
Appl. Sci. 2024, 14(22), 10389; https://doi.org/10.3390/app142210389 - 12 Nov 2024
Viewed by 350
Abstract
Light non-aqueous phase liquids (LNAPLs), which include various petroleum products, are a significant source of groundwater contamination globally. Once introduced into the subsurface, these contaminants tend to accumulate in the vadose zone, causing chronic soil and water pollution. The vadose zone often contains [...] Read more.
Light non-aqueous phase liquids (LNAPLs), which include various petroleum products, are a significant source of groundwater contamination globally. Once introduced into the subsurface, these contaminants tend to accumulate in the vadose zone, causing chronic soil and water pollution. The vadose zone often contains lens-shaped bodies with diverse properties that can significantly influence the migration and distribution of LNAPLs. Understanding the interaction between LNAPLs and these lens-shaped bodies is crucial for developing effective environmental management and remediation strategies. Prior research has primarily focused on LNAPL behavior in homogeneous media, with less emphasis on the impact of heterogeneous conditions introduced by lens-shaped bodies. To investigate the impact of lens-shaped structures on the migration of LNAPLs and to assess the specific effects of different types of lens-shaped structures on the distribution characteristics of LNAPL migration, this study simulates the LNAPL leakage process using an indoor two-dimensional sandbox. Three distinct test groups were conducted: one with no lens-shaped aquifer, one with a low-permeability lens, and one with a high-permeability lens. This study employs a combination of oil front curve mapping and high-density resistivity imaging techniques to systematically evaluate how the presence of lens-shaped structures affects the migration behavior, distribution patterns, and corresponding resistivity anomalies of LNAPLs. The results indicate that the migration rate and distribution characteristics of LNAPLs are influenced by the presence of a lens in the gas band of the envelope. The maximum vertical migration distances of the LNAPL are as follows: high-permeability lens (45 cm), no lens-shaped aquifer (40 cm), and low-permeability lens (35 cm). Horizontally, the maximum migration distances of the LNAPL to the upper part of the lens body decreases in the order of low-permeability lens, high-permeability lens, and no lens-shaped aquifer. The low-permeability lens impedes the vertical migration of the LNAPL, significantly affecting its migration path. It creates a flow around effect, hindering the downward migration of the LNAPL. In contrast, the high-permeability lens has a weaker retention effect and creates preferential flow paths, promoting the downward migration of the LNAPL. Under conditions with no lens-shaped aquifer and a high-permeability lens, the region of positive resistivity change rate is symmetrical around the axis where the injection point is located. Future research should explore the impact of various LNAPL types, lens geometries, and water table fluctuations on migration patterns. Incorporating numerical simulations could provide deeper insights into the mechanisms controlling LNAPL migration in heterogeneous subsurface environments. Full article
Show Figures

Figure 1

Figure 1
<p>Diagram of the experimental setup.</p>
Full article ">Figure 2
<p>Schematic diagram of the measurement method.</p>
Full article ">Figure 3
<p>Variation in the LNAPL migration velocity (No lens-shaped aquifer). (<b>a</b>) Migration process. (<b>b</b>) Lateral migration velocity at different heights. (<b>c</b>) Vertical migration velocity.</p>
Full article ">Figure 3 Cont.
<p>Variation in the LNAPL migration velocity (No lens-shaped aquifer). (<b>a</b>) Migration process. (<b>b</b>) Lateral migration velocity at different heights. (<b>c</b>) Vertical migration velocity.</p>
Full article ">Figure 4
<p>Variation in the LNAPL migration velocity (low-permeability lens). (<b>a</b>) Migration process. (<b>b</b>) Lateral migration velocity at different heights. (<b>c</b>) Migration process.</p>
Full article ">Figure 4 Cont.
<p>Variation in the LNAPL migration velocity (low-permeability lens). (<b>a</b>) Migration process. (<b>b</b>) Lateral migration velocity at different heights. (<b>c</b>) Migration process.</p>
Full article ">Figure 5
<p>Variation in the LNAPL migration velocity (high-permeability lens). (<b>a</b>) Migration process. (<b>b</b>) Lateral migration velocity at different heights. (<b>c</b>) Vertical migration velocity.</p>
Full article ">Figure 5 Cont.
<p>Variation in the LNAPL migration velocity (high-permeability lens). (<b>a</b>) Migration process. (<b>b</b>) Lateral migration velocity at different heights. (<b>c</b>) Vertical migration velocity.</p>
Full article ">Figure 6
<p>Maximum migration distance for different test groups.</p>
Full article ">Figure 7
<p>Rate of change of resistance (no lens-shaped aquifer). (<b>a</b>) 30 min (<b>b</b>) 60 min (<b>c</b>) 120 min (<b>d</b>) 180 min (<b>e</b>) 240 min (<b>f</b>) 300 min.</p>
Full article ">Figure 8
<p>Resistance rate of change (low-permeability lens). (<b>a</b>) 30 min (<b>b</b>) 100 min (<b>c</b>) 300 min (<b>d</b>) 400 min (<b>e</b>) 500 min (<b>f</b>) 660 min.</p>
Full article ">Figure 9
<p>Rate of change of resistance (high-permeability lens). (<b>a</b>) 60 min (<b>b</b>) 100 min (<b>c</b>) 200 min (<b>d</b>) 300 min (<b>e</b>) 400 min (<b>f</b>) 490 min.</p>
Full article ">
22 pages, 9742 KiB  
Article
Three-Dimensional Thermohaline Reconstruction Driven by Satellite Sea Surface Data Based on Sea Ice Seasonal Variation in the Arctic Ocean
by Xiangyu Wu, Jinlong Li, Xidong Wang, Zikang He, Zhiqiang Chen, Shihe Ren and Xi Liang
Remote Sens. 2024, 16(21), 4072; https://doi.org/10.3390/rs16214072 - 31 Oct 2024
Viewed by 417
Abstract
This study investigates and evaluates methods for the three-dimensional thermohaline reconstruction of the Arctic Ocean using multi-source observational data. A multivariate statistical regression model based on sea ice seasonal variation is developed, driving by satellite data, and in situ data is used to [...] Read more.
This study investigates and evaluates methods for the three-dimensional thermohaline reconstruction of the Arctic Ocean using multi-source observational data. A multivariate statistical regression model based on sea ice seasonal variation is developed, driving by satellite data, and in situ data is used to validate the model output. The study indicates that the multivariate statistical regression model effectively captures the characteristics of the three-dimensional thermohaline structure of the Arctic Ocean. Areas with large reconstruction errors are primarily observed in the salinity values of ice-free regions and the temperature values of ice-covered regions. The statistical regression experiments reveal that salinity errors in ice-free regions are caused by inaccuracies in the satellite salinity data, while temperature errors in ice-covered areas mainly result from the inadequate representation of the under-ice temperature structure of the reanalysis data. The continuous and stable thermohaline data produced using near real-time satellite data as input provide an important foundation for studying Arctic marine environmental characteristics and assessing climate change. Full article
Show Figures

Figure 1

Figure 1
<p>Study area (60°N–90°N). The two green lines are the positions of the cross-sections analysis; details are in Figure 9. The two black lines are the traces of Argo and ITP that we chose in a period; details are in Figure 11 and Figure 12. The four star points are the positions we chose to show the comparation of three kinds of data; details are in Figure 14. The pink and blue dots stand for the positions that we chose from the in situ dataset.</p>
Full article ">Figure 2
<p>Reconstruction process of the three-dimensional thermohaline structure.</p>
Full article ">Figure 3
<p>Comparison of ocean heat content between the ideal experiment and PHC climatology. Where (<b>a</b>,<b>b</b>) show the ocean heat contents above 700 m for March and September, respectively, from the ideal experiment; and (<b>c</b>,<b>d</b>) show those for the same months from the PHC climatology.</p>
Full article ">Figure 4
<p>RMSE of ideal experiment and PHC climatology based on field observations. Where (<b>a</b>) shows the temperature RMSE, and (<b>b</b>) shows the salinity RMSE.</p>
Full article ">Figure 5
<p>Comparison of reconstructed temperature and TOPAZ reanalysis on 15 March 2020. Where (<b>a</b>–<b>c</b>), respectively, show the reconstructed temperature field, TOPAZ temperature field, and the difference between the reconstructed and TOPAZ temperature fields at 10 m; (<b>d</b>–<b>f</b>) show those at 200 m; and (<b>g</b>–<b>i</b>) show those at 1200 m.</p>
Full article ">Figure 6
<p>Comparison of reconstructed salinity field and TOPAZ reanalysis on 15 March 2020. Where (<b>a</b>–<b>c</b>), respectively, show the reconstructed salinity field, TOPAZ salinity field, and the difference between the reconstructed and TOPAZ salinity fields at 10 m; (<b>d</b>–<b>f</b>) show those at 200 m; and (<b>g</b>–<b>i</b>) show those at 1200 m.</p>
Full article ">Figure 7
<p>Comparison of reconstructed temperature and TOPAZ reanalysis on 15 September 2020. Where (<b>a</b>–<b>c</b>), respectively, show the reconstructed temperature field, TOPAZ temperature field, and the difference between the reconstructed and TOPAZ temperature fields at 10 m; (<b>d</b>–<b>f</b>) show those at 200 m; and (<b>g</b>–<b>i</b>) show those at 1200 m.</p>
Full article ">Figure 8
<p>Comparison of reconstructed salinity field and TOPAZ reanalysis on 15 September 2020. Where (<b>a</b>–<b>c</b>), respectively, show the reconstructed salinity field, TOPAZ salinity field, and the difference between the reconstructed and TOPAZ salinity fields at 10 m; (<b>d</b>–<b>f</b>) show those at 200 m; and (<b>g</b>–<b>i</b>) show those at 1200 m.</p>
Full article ">Figure 9
<p>Thermohaline cross-sections of reconstructed data and reanalysis data on 15 September 2020. Where (<b>a</b>,<b>b</b>), respectively, show the reconstructed and reanalysis temperature results for the 2.5°W cross-section; (<b>c</b>,<b>d</b>) show those for the 2.5°W cross-section; (<b>e</b>,<b>f</b>) show those for the 168°W cross-section; and (<b>g</b>,<b>h</b>) show those for the 168°W cross-section.</p>
Full article ">Figure 10
<p>Average curves of field observations, reconstructed data, and reanalysis data. Where (<b>a</b>,<b>b</b>) show the average temperature and salinity values for Area B, respectively; and (<b>c</b>,<b>d</b>) show the same values for Area A. The black, red and blue lines, respectively, represent the observed values, reconstructed data, and reanalysis data.</p>
Full article ">Figure 11
<p>Time series of thermohaline structures from Argo data, satellite-driven reconstructed data, reanalysis data, and ideal experiment. Where (<b>a</b>–<b>d</b>), respectively, show the temperature time series from the Argo data, reconstructed data, reanalysis data, and ideal experiment; and (<b>e</b>–<b>h</b>) show the salinity time series from the same data sets.</p>
Full article ">Figure 12
<p>Time series of thermohaline structures from ITP data, satellite-driven reconstructed data, reanalysis data, and ideal experiment. Where (<b>a</b>–<b>d</b>), respectively, show the temperature time series from the ITP data, reconstructed data, reanalysis data, and ideal experiment; and (<b>e</b>–<b>h</b>) show the salinity time series from the same datasets.</p>
Full article ">Figure 13
<p>Where (<b>a</b>) shows the SST from satellite data, observational data (Argo 3901620), and reanalysis surface data for ice-free areas; (<b>b</b>) shows the same data for SSS; (<b>c</b>) shows the temperature RMSE of ideal experiment and satellite-driven inversion results compared to the Argo 3901620 data; (<b>d</b>) shows the same data for salinity; (<b>e</b>) presents the SST from the satellite data, observational data (ITP 110), and reanalysis surface data for ice-covered areas; (<b>f</b>) shows the same data for SLA; (<b>g</b>) illustrates the temperature RMSE of ideal experiment and satellite-driven inversion results compared to ITP 110 data; and (<b>h</b>) shows the same data for salinity.</p>
Full article ">Figure 14
<p>Where (<b>a</b>) shows the temperature from in situ observation, reconstruction, and reanalysis data at point 1; (<b>b</b>) shows the same data for salinity at point 1; (<b>c</b>,<b>d</b>) show those at point 2; (<b>e</b>,<b>f</b>) show those at point 3; (<b>g</b>,<b>h</b>) show those at point 4.</p>
Full article ">
22 pages, 5361 KiB  
Article
Nanostructured Magnetite Coated with BiOI Semiconductor: Readiness Level in Advanced Solar Photocatalytic Applications for the Remediation of Phenolic Compounds in Wastewater from the Wine and Pisco Industry
by Alejandra Gallegos-Alcaíno, Gabriela Paz Barría, Yanko Moreno, Iván Fernández, Rodrigo Poblete, Héctor Maureira-Cortés, Antonia Cristal Figueroa Alvarado, Constanza Belén Hernández and José Flores
Appl. Sci. 2024, 14(21), 9898; https://doi.org/10.3390/app14219898 - 29 Oct 2024
Viewed by 595
Abstract
Heterogeneous photocatalysis is an advanced, efficient oxidation process that uses solar energy to be sustainable and low-cost compared to conventional wastewater treatments. This study synthesized BiOI/Fe3O4 using the solvothermal technique, evaluating stoichiometric ratios of Bi/Fe (2:1, 3:1, 5:1, and 7:1) [...] Read more.
Heterogeneous photocatalysis is an advanced, efficient oxidation process that uses solar energy to be sustainable and low-cost compared to conventional wastewater treatments. This study synthesized BiOI/Fe3O4 using the solvothermal technique, evaluating stoichiometric ratios of Bi/Fe (2:1, 3:1, 5:1, and 7:1) under simulated solar irradiation to optimize the degradation of caffeic acid, a pollutant found in wastewater from the wine and pisco industry. The nanomaterial with a 5:1 ratio (BF-5) was the most effective, achieving a degradation of 77.2% in 180 min. Characterization by X-ray Diffraction (XRD), Transmission Electron Microscopy (TEM), Brunauer–Emmett–Teller (BET), Barrett–Joyner–Halenda (BJH), Fourier Transform Infrared Spectroscopy (FTIR), Diffuse Reflectance Spectroscopy (DRS), and Vibrating Sample Magnetometry (VSM) showed that BF-5 has a porous three-dimensional structure with BiOI nanosheets coating the Fe3O4 surface, while retaining the pristine BiOI properties. The magnetite provided magnetic properties that facilitated the recovery of the photocatalyst, reaching 89.4% recovery. These findings highlight the potential of BF-5 as an efficient and recoverable photocatalyst for industrial applications. The technical, economic, and environmental feasibility were also evaluated at the technological readiness level (TRL) to project solar photocatalysis in real applications. Full article
(This article belongs to the Section Green Sustainable Science and Technology)
Show Figures

Figure 1

Figure 1
<p>Experimental setup used during photocatalytic tests.</p>
Full article ">Figure 2
<p>Molecular structure of the model compound, caffeic acid.</p>
Full article ">Figure 3
<p>X-ray diffraction patterns of the synthesized materials: (<b>a</b>) Magnetite–Fe<sub>3</sub>O<sub>4</sub>, (<b>b</b>) individual BiOI, (<b>c</b>) BiOI/Fe<sub>3</sub>O<sub>4–</sub>BF-5.</p>
Full article ">Figure 4
<p>Images TEM (<b>a</b>) and (<b>b</b>) Fe<sub>3</sub>O<sub>4</sub>; (<b>c</b>) and (<b>d</b>) BiOI; (<b>e</b>) and (<b>f</b>) BF-5.</p>
Full article ">Figure 5
<p>N<sub>2</sub> adsorption–desorption isotherms (<b>a</b>) and pore size distribution (<b>b</b>) of BiOI pure, Fe<sub>3</sub>O<sub>4</sub>, and BF-5.</p>
Full article ">Figure 6
<p>Tauc Plot of the synthesized nanomaterials.</p>
Full article ">Figure 7
<p>FTIR spectra (<b>a</b>) BiOI; (<b>b</b>) Fe<sub>3</sub>O<sub>4</sub>; and (<b>c</b>) BF-5.</p>
Full article ">Figure 8
<p>VSM magnetization curve for Fe<sub>3</sub>O<sub>4</sub> and BF-5 (BiOI/Fe<sub>3</sub>O<sub>4</sub>).</p>
Full article ">Figure 9
<p>(<b>a</b>) Fe<sub>3</sub>O<sub>4</sub> and (<b>b</b>) BiOI/Fe<sub>3</sub>O<sub>4</sub> synthesized by the solvothermal method.</p>
Full article ">Figure 10
<p>Percentage of degradation after 180 min of the model pollutant under different Bi/Fe ratios.</p>
Full article ">Figure 11
<p>Comparison of the degradation of caffeic acid using pure BiOI, BiOI/Fe<sub>3</sub>O<sub>4</sub> 2:1; 3:1; 5:1; 7:1 (BF-2, BF-3, BF-5, BF-7, respectively), Fe<sub>3</sub>O<sub>4</sub>, and caffeic acid in the absence of a catalyst.</p>
Full article ">Figure 12
<p>Study sector located between 29° 20 and 32° 15 south latitude.</p>
Full article ">Figure 13
<p>(<b>a</b>) Photocatalytic system setup and (<b>b</b>) compound parabolic concentrator curve.</p>
Full article ">Figure 14
<p>Chile’s photovoltaic power potential (kWh/kWp). Notes: This figure shows Chile’s photovoltaic power potential, which refers to how much energy (kWh) is produced per kilowatt peak of a system. The figure was retrieved from <a href="https://globalsolaratlas.info" target="_blank">https://globalsolaratlas.info</a>. Solar resource data were obtained from the Global Solar Atlas. This map was published by the World Bank Group, funded by ESMAP, and prepared by Solargis (accessed 25 August 2024) [<a href="#B40-applsci-14-09898" class="html-bibr">40</a>].</p>
Full article ">Figure 15
<p>Technological Readiness Level (TRL) applied to the projections of this study focused on implementing heterogeneous photocatalysis using BiOI/Fe<sub>3</sub>O<sub>4</sub> in the wine and pisco industry.</p>
Full article ">
14 pages, 2226 KiB  
Article
Chemical Upcycling of Expired Pharmaceuticals as a Source of Value-Added Chemicals for Organic Synthesis and Medicinal Chemistry
by Teresa Abad-Grillo and Grant McNaughton-Smith
Molecules 2024, 29(20), 4811; https://doi.org/10.3390/molecules29204811 - 11 Oct 2024
Viewed by 567
Abstract
Pharmaceutical and veterinary products are a class of contaminants of emerging concern, and their presence in the environment is due to continuous and incorrect disposal. Environmental scientists have been accumulating data on their adverse effects on animal populations since toxicological effects on wildlife [...] Read more.
Pharmaceutical and veterinary products are a class of contaminants of emerging concern, and their presence in the environment is due to continuous and incorrect disposal. Environmental scientists have been accumulating data on their adverse effects on animal populations since toxicological effects on wildlife were first published. Therefore, recycling strategies are needed. Valuable active ingredients can be extracted from expired pharmaceuticals and recycled according to various strategies. In an effort to reveal the potential of the chemical upcycling of expired pharmaceuticals, the active ingredients gabapentin and pregabalin were extracted and used as starting materials to prepare a small collection of promising substrates endowed with functionalities and structural three-dimensionality. Gabapentin 1 was transformed into aminoalcohol 3, spiroamine 4, and the bioactive azaspirolactam 5. The lactam analog 6 was synthesized from pregabalin 2. Due to the biological profile of 5 and the structural similarity of the N-alkylated derivatives 5l and 6b with the drug piracetam, a collection of potentially bioactive structural analogs 5a-l and 6a-b were also prepared. Simple extraction, synthesis, and purification procedures were used as a means of chemical and economic revaluation, resulting in moderate to good yields at a low cost. Full article
(This article belongs to the Section Medicinal Chemistry)
Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>Aminoalcohol <b>3</b>- and azaspiroamine <b>4</b>-containing analogs described in the literature.</p>
Full article ">Figure 2
<p>Some compounds of interest (<b>5l</b> and <b>6b</b>) described in this work.</p>
Full article ">Scheme 1
<p>Compounds of interest prepared from <b>1</b> and <b>2</b> described in this work. The sites susceptible to modification in <b>5</b> are indicated in colors. Blue: reduction of the carbonyl group; red: nitrogen alkylation; green: change from a spirocycle to an open linear chain.</p>
Full article ">Scheme 2
<p>Synthesis of substrates of interest.</p>
Full article ">Scheme 3
<p>Revaluation of the expired medications used in this work.</p>
Full article ">
20 pages, 3004 KiB  
Article
Wearing Quality of Ribbed Knits Made from Viscose and Lyocell Fibers for Underwear
by Antoneta Tomljenović, Juro Živičnjak and Zenun Skenderi
Fibers 2024, 12(10), 83; https://doi.org/10.3390/fib12100083 - 30 Sep 2024
Viewed by 513
Abstract
As an alternative to cotton, viscose and lyocell fibers are suitable for the production of knitted next-to-skin underwear. Despite the advantages of a more environmentally friendly production process and valuable properties, the consumption of lyocell fibers is significantly lower compared to viscose fibers. [...] Read more.
As an alternative to cotton, viscose and lyocell fibers are suitable for the production of knitted next-to-skin underwear. Despite the advantages of a more environmentally friendly production process and valuable properties, the consumption of lyocell fibers is significantly lower compared to viscose fibers. The applicability of viscose and lyocell fibers in the production of ribbed knits for underwear is insufficiently researched, as is the influence of unconventionally spun yarns on their wearing properties. This study, therefore, investigates the possibilities of using lyocell fibers in the production of novel knitwear with improved properties compared to viscose and conventional cotton knitwear and determines their wearing quality. In this context, two sets of circular 1 × 1 rib jersey fabrics were produced from three types of differently spun viscose and lyocell yarns. The quality of the dry relaxed and wet processed knitted fabrics was evaluated by determining their structure, absorbency, air permeability, and dimensional stability, as well as their tensile, abrasion, and pilling properties, all in comparison to cotton knitted fabric produced under the same conditions. The results showed that lyocell rib knits have better structural uniformity, tensile properties, dimensional stability, air permeability, lower abrasion resistance, and comparable moisture absorbency and pilling propensity compared to viscose knits. Full article
Show Figures

Figure 1

Figure 1
<p>Scheme of the rib knits evaluation methodology.</p>
Full article ">Figure 2
<p>Thickness, bulk density, and overall porosity percentage change of viscose (Cv), lyocell (Cly), and cotton (Co) rib knits after wet processing in relation to dry relaxed values.</p>
Full article ">Figure 3
<p>Air permeability, areal density, and stitch density percentage change of viscose (Cv), lyocell (Cly), and cotton (Co) rib knits after wet processing in relation to dry relaxed values.</p>
Full article ">Figure 4
<p>Strength/elongation diagrams of dry relaxed (DR) and wet processed (WP) rib knits produced from ring (RI), open-end rotor (RO), or air-jet (AI) spun yarns made from viscose (Cv) fibers (<b>a</b>) in the length and (<b>b</b>) in the width direction; lyocell (Cly) fibers (<b>c</b>) in the length and (<b>d</b>) in the width direction compared to the cotton reference.</p>
Full article ">Figure 4 Cont.
<p>Strength/elongation diagrams of dry relaxed (DR) and wet processed (WP) rib knits produced from ring (RI), open-end rotor (RO), or air-jet (AI) spun yarns made from viscose (Cv) fibers (<b>a</b>) in the length and (<b>b</b>) in the width direction; lyocell (Cly) fibers (<b>c</b>) in the length and (<b>d</b>) in the width direction compared to the cotton reference.</p>
Full article ">Figure 5
<p>Lengthwise breaking strength and wale density percentage change of viscose (Cv), lyocell (Cly), and cotton (Co) rib knits after wet processing in relation to dry relaxed values.</p>
Full article ">Figure 6
<p>Widthwise elongation at break and wale density percentage change of viscose (Cv), lyocell (Cly), and cotton (Co) rib knits after wet processing in relation to dry relaxed values.</p>
Full article ">Figure 7
<p>Graphs of: (<b>a</b>) lengthwise; (<b>b</b>) widthwise; and (<b>c</b>) areal dimensional change of viscose (Cv), lyocell (Cly)l and cotton (Co) dry relaxed (DR) and wet processed (WP) rib knits produced from ring (RI), open-end rotor (RO), or air-jet (AI) spun yarns.</p>
Full article ">Figure 8
<p>Abrasion resistance of viscose (Cv), lyocell (Cly), and cotton (Co) dry relaxed (DR) and wet processed (WP) rib knits produced from ring (RI), open-end rotor (RO), or air-jet (AI) spun yarns.</p>
Full article ">
32 pages, 9580 KiB  
Review
Recent Progress of Three-Dimensional Graphene-Based Composites for Photocatalysis
by Fengling Zhang, Jianxing Liu, Liang Hu and Cean Guo
Gels 2024, 10(10), 626; https://doi.org/10.3390/gels10100626 - 29 Sep 2024
Viewed by 1658
Abstract
Converting solar energy into fuels/chemicals through photochemical approaches holds significant promise for addressing global energy demands. Currently, semiconductor photocatalysis combined with redox techniques has been intensively researched in pollutant degradation and secondary energy generation owing to its dual advantages of oxidizability and reducibility; [...] Read more.
Converting solar energy into fuels/chemicals through photochemical approaches holds significant promise for addressing global energy demands. Currently, semiconductor photocatalysis combined with redox techniques has been intensively researched in pollutant degradation and secondary energy generation owing to its dual advantages of oxidizability and reducibility; however, challenges remain, particularly with improving conversion efficiency. Since graphene’s initial introduction in 2004, three-dimensional (3D) graphene-based photocatalysts have garnered considerable attention due to their exceptional properties, such as their large specific surface area, abundant pore structure, diverse surface chemistry, adjustable band gap, and high electrical conductivity. Herein, this review provides an in-depth analysis of the commonly used photocatalysts based on 3D graphene, outlining their construction strategies and recent applications in photocatalytic degradation of organic pollutants, H2 evolution, and CO2 reduction. Additionally, the paper explores the multifaceted roles that 3D graphene plays in enhancing photocatalytic performance. By offering a comprehensive overview, we hope to highlight the potential of 3D graphene as an environmentally beneficial material and to inspire the development of more efficient, versatile graphene-based aerogel photocatalysts for future applications. Full article
(This article belongs to the Special Issue Recent Advances in Aerogels and Aerogel Composites)
Show Figures

Figure 1

Figure 1
<p>Scheme diagram of the photocatalytic process.</p>
Full article ">Figure 2
<p>Systematic diagram of graphene and graphene-based derivatives. Reproduced with permission from Ref. [<a href="#B61-gels-10-00626" class="html-bibr">61</a>], Copyright 2022, Elsevier.</p>
Full article ">Figure 3
<p>Various roles of 3D graphene in the photocatalytic system.</p>
Full article ">Figure 4
<p>3D graphene with different structures. (<b>A</b>) Fabrication process (<b>i</b>) and morphology (<b>ii</b>–<b>v</b>) of graphene aerogel spheres. Reproduced with permission from Ref. [<a href="#B84-gels-10-00626" class="html-bibr">84</a>], Copyright 2020, Elsevier; (<b>B</b>) Fabrication (<b>i</b>) and structural characteristics (<b>ii</b>–<b>v</b>) of graphene foam. Reproduced with permission from Ref. [<a href="#B85-gels-10-00626" class="html-bibr">85</a>], Copyright 2023, Elsevier; (<b>C</b>) Schematic illustration for the preparation of graphene aerogel. Reproduced with permission from Ref. [<a href="#B86-gels-10-00626" class="html-bibr">86</a>], Copyright 2024, Elsevier; (<b>D</b>) Digital camera images (<b>i</b>,<b>ii</b>) and cross-sectional view SEM images (<b>iii</b>,<b>iv</b>) of graphene aerogel film. Reproduced with permission from Ref. [<a href="#B87-gels-10-00626" class="html-bibr">87</a>], Copyright 2018, Elsevier; (<b>E</b>) Cross polarized-light optical images (<b>i</b>), SEM images (<b>ii</b>,<b>iii</b>), and photographs (<b>iv</b>,<b>v</b>) of graphene aerogel hollow fiber. Reproduced with permission from Ref. [<a href="#B88-gels-10-00626" class="html-bibr">88</a>], Copyright 2022, Elsevier.</p>
Full article ">Figure 5
<p>(<b>A</b>) Schematic diagram of the preparation process of 3D graphene by CVD (<b>i</b>–<b>iv</b>); (<b>B</b>) SEM images of copper template (<b>i</b>), graphene grown on copper template (<b>ii</b>), and graphene network after evaporating copper template (<b>iii</b>,<b>iv</b>). Reproduced with permission form Ref. [<a href="#B91-gels-10-00626" class="html-bibr">91</a>], Copyright 2017, American Chemical Society.</p>
Full article ">Figure 6
<p>(<b>A</b>) Schematic of a ceramic tube (<b>i</b>) and SEM image of polystyrene microspheres wrapped with graphene oxide (<b>ii</b>); (<b>B</b>) Fabrication process of graphene MOP film; (<b>C</b>) Morphologies of graphene-oxide composite films: SEM images of graphene-SnO<sub>2</sub> film (<b>i</b>,<b>ii</b>), TEM images of graphene-SnO<sub>2</sub> film (<b>iii</b>,<b>iv</b>), and SEM images of graphene-Fe<sub>2</sub>O<sub>3</sub> (<b>v</b>) and graphene-NiO (<b>vi</b>). Reproduced with permission from Ref. [<a href="#B94-gels-10-00626" class="html-bibr">94</a>], Copyright 2016, American Chemical Society.</p>
Full article ">Figure 7
<p>(<b>A</b>) The procedure of preparing graphene aerogels by a combination of hydrothermal treatment (different time), lyophilization and hydrazine reduction: 20 min (<b>i</b>), 30 min (<b>ii</b>), and 40 min (<b>iii</b>); (<b>B</b>) The cross-sectional SEM images of graphene aerogels with different hydrothermal times and their corresponding magnified views: 20 min (<b>i</b>–<b>iii</b>), 30 min (<b>iv</b>–<b>vi</b>), 40 min (<b>vii</b>–<b>ix</b>). Reproduced with permission from Ref. [<a href="#B97-gels-10-00626" class="html-bibr">97</a>], Copyright 2024, Elsevier.</p>
Full article ">Figure 8
<p>(<b>A</b>) Fabrication procedure of the phase change materials with radial scaffold; (<b>B</b>) Morphology of the aerogel and phase change material: schematic diagram for cross-sectional SEM observation (<b>i</b>) and cross-section SEM (<b>ii</b>,<b>iii</b>) of graphene/chitosan aerogel, schematic diagram for longitudinal section SEM observation (<b>iv</b>) and longitudinal section SEM (<b>v</b>,<b>vi</b>) of graphene/chitosan aerogel, digital image (<b>vii</b>) and SEM images of graphene/chitosan-PCM (<b>viii</b>,<b>ix</b>). Reproduced with permission from Ref. [<a href="#B98-gels-10-00626" class="html-bibr">98</a>], Copyright 2024, Elsevier.</p>
Full article ">Figure 9
<p>(<b>A</b>) Schematic illustration of the emulsion soft-template synthesis procedures for preparing porous graphene foams; (<b>B</b>) SEM images (<b>i</b>,<b>ii</b>) and TEM images (<b>iii</b>–<b>vi</b>) of graphene using TMB as emulsion templates; (<b>C</b>) SEM images (<b>i</b>,<b>ii</b>) and TEM images (<b>iii</b>–<b>vi</b>) of graphene using n-hexadecane as emulsion templates. Reproduced with permission from Ref. [<a href="#B101-gels-10-00626" class="html-bibr">101</a>], Copyright 2014, Royal Society of Chemistry.</p>
Full article ">Figure 10
<p>(<b>A</b>) The formation mechanism for graphene hydrogel; (<b>B</b>) Photographs of graphene oxide solution before and after hydrothermal reduction; (<b>C</b>) SEM image of the interior microstructures of graphene. Reproduced with permission from Ref. [<a href="#B104-gels-10-00626" class="html-bibr">104</a>], Copyright 2010, American Chemical Society.</p>
Full article ">Figure 11
<p>Schematic illustration of 3D printing (<b>A</b>–<b>C</b>); SEM images (<b>D</b>–<b>F</b>), ultralight structure (<b>G</b>), and mechanical properties (<b>H</b>,<b>I</b>) of graphene. Reproduced with permission from Ref. [<a href="#B132-gels-10-00626" class="html-bibr">132</a>], Copyright 2019, Wiley.</p>
Full article ">Figure 12
<p>(<b>A</b>) Preparation schematic diagram of ZnO/graphene foam, inset is the corresponding sample photographs of each step; (<b>B</b>) SEM images of graphene/Ni (<b>i</b>), graphene (<b>ii</b>), and ZnO/graphene (<b>iii</b>–<b>vi</b>). Reproduced with permission from Ref. [<a href="#B142-gels-10-00626" class="html-bibr">142</a>], Copyright 2016, Elsevier.</p>
Full article ">Figure 13
<p>(<b>A</b>) Schematic illustration of the synthetic process of Bi<sub>2</sub>WO<sub>6</sub>/graphene; (<b>B</b>) SEM images of Bi<sub>2</sub>WO<sub>6</sub> (<b>i</b>) and Bi<sub>2</sub>WO<sub>6</sub>/graphene (<b>ii</b>); (<b>C</b>) Schematic diagram of pollutants adsorption and photocatalytic degradation by Bi<sub>2</sub>WO<sub>6</sub>/graphene composite. Reproduced with permission from Ref. [<a href="#B178-gels-10-00626" class="html-bibr">178</a>], Copyright 2017, Elsevier.</p>
Full article ">Figure 14
<p>(<b>A</b>) SEM images of MoS<sub>2</sub>/graphene with different synthetic process: hydrothermal method (<b>i</b>) and chemical activation route (<b>ii</b>); (<b>B</b>) Schematic of the photocatalysis mechanism under visible−light irradiation; (<b>C</b>) Probable pathways for photocatalytic degradation of tetracycline. Reproduced with permission from Ref. [<a href="#B110-gels-10-00626" class="html-bibr">110</a>], Copyright 2024, American Chemical Society.</p>
Full article ">Figure 15
<p>(<b>A</b>) A SEM image of 3D graphene (<b>i</b>), TEM images of TiO<sub>2</sub>/graphene (<b>ii</b>,<b>iv</b>), and the lattice diffraction pattern of the particle in the white circle in (<b>iii</b>); (<b>B</b>) Electron transfer pathways in the photocatalytic hydrogen production by TiO<sub>2</sub>/graphene. Reproduced with permission from Ref. [<a href="#B66-gels-10-00626" class="html-bibr">66</a>], Copyright 2017, Springer.</p>
Full article ">Figure 16
<p>(<b>A</b>) Fabrication process of (MoS<sub>2</sub> and WS<sub>2</sub>) nanosheets/3D graphene; (<b>B</b>) SEM images of 3D graphene (<b>i</b>), MoS<sub>2</sub>/graphene (<b>ii</b>), and WS<sub>2</sub>/graphene (<b>iii</b>); (<b>C</b>) Schematic illustration of the transfer process in the photocatalyst system (<b>i</b>) and the photocatalytic performance comparison of this work with other photocatalysts in the literature (<b>ii</b>). Reproduced with permission from Ref. [<a href="#B187-gels-10-00626" class="html-bibr">187</a>], Copyright 2024, American Chemical Society.</p>
Full article ">Figure 17
<p>(<b>A</b>) Schematic illustration for the formation process of ZnIn<sub>2</sub>S<sub>4</sub>/N-graphene; (<b>B</b>) SEM images of N-graphene (<b>i</b>) and ZnIn<sub>2</sub>S<sub>4</sub>/N-graphene (<b>ii</b>); (<b>C</b>) Photogenerated charge transfer mechanism: valence band spectra (<b>i</b>), flat-band potentials (<b>ii</b>), and energy level diagram (<b>iii</b>). Reproduced with permission from Ref. [<a href="#B197-gels-10-00626" class="html-bibr">197</a>], Copyright 2020, Springer.</p>
Full article ">
19 pages, 3957 KiB  
Article
A Scaled Numerical Simulation Model for Structural Analysis of Large Wind Turbine Blade
by Guoqiang Gao, Hongsheng Shu, Zixin Yi, Shuyi Yang, Juchuan Dai and Fan Zhang
Energies 2024, 17(19), 4849; https://doi.org/10.3390/en17194849 - 27 Sep 2024
Viewed by 622
Abstract
Numerical simulation technology is a crucial tool for reducing costs and increasing efficiency in the wind power industry. However, with the development of large-scale wind turbines, the computational cost of numerical simulation has gradually increased. This paper uses the geometric similarity, structural similarity [...] Read more.
Numerical simulation technology is a crucial tool for reducing costs and increasing efficiency in the wind power industry. However, with the development of large-scale wind turbines, the computational cost of numerical simulation has gradually increased. This paper uses the geometric similarity, structural similarity criterion, Reynolds similarity and boundary layer theory to establish a scaled model of the geometric three-dimensional shape, composite material, and finite element mesh of large wind turbine blades. The study analyzes the aerodynamic, gravitational, and centrifugal load variations within the scaled model. The proportional relationship between the scaled model’s operating parameters, the numerical simulation’s environmental parameters, and the mechanical response parameters is established. These parameters are coordinated to ensure the similarity of the blade structure and the fluid dynamics. For a geometric scale factor of 0.316, the relative difference in maximum deflection is 4.52%, with a reduction in calculation time by 48.1%. On the premise of ensuring the calculation accuracy of the aerodynamic and structural response of the blade, the calculation efficiency is effectively improved. Full article
(This article belongs to the Section A3: Wind, Wave and Tidal Energy)
Show Figures

Figure 1

Figure 1
<p>Construction and analysis of wind turbine blade scale numerical model.</p>
Full article ">Figure 2
<p>Thickness of composite materials for 5 MW blade.</p>
Full article ">Figure 3
<p>Flow field under multiple reference frames.</p>
Full article ">Figure 4
<p>Mesh Independence Validation. (<b>a</b>) Grid independence verification. (<b>b</b>) Flow field meshing. (<b>c</b>) Boundary layer grid.</p>
Full article ">Figure 5
<p>Plane velocity of wind rotor of scale models.</p>
Full article ">Figure 6
<p>Limit streamline diagram of suction surface of scale models.</p>
Full article ">Figure 7
<p>Relative differences under transient conditions.</p>
Full article ">
28 pages, 13346 KiB  
Article
A 3D Printing Platform for Design and Manufacturing of Multi-Functional Cementitious Construction Components and Its Validation for a Post-Tensioned Beam
by Ofer Asaf, Arnon Bentur, Oded Amir, Pavel Larianovsky, Ohad Yaacov Meyuhas, Eliad Michli and Aaron Sprecher
Materials 2024, 17(18), 4653; https://doi.org/10.3390/ma17184653 - 23 Sep 2024
Viewed by 875
Abstract
Three-dimensional printing of cementitious materials for construction has been extensively investigated in recent years, with several demonstration projects successfully carried out. These efforts aim to leverage the printing process to achieve more efficient production of components compared to conventional concrete technologies. This includes [...] Read more.
Three-dimensional printing of cementitious materials for construction has been extensively investigated in recent years, with several demonstration projects successfully carried out. These efforts aim to leverage the printing process to achieve more efficient production of components compared to conventional concrete technologies. This includes both the process itself (eliminating the formwork stage) and the flexibility in producing complexly shaped elements. To maximize the potential of 3D printing in the construction industry, additional steps must be taken, grounded in a holistic view of the entire process. This involves integration of the production chain, including design, materials, and manufacturing of components, to create elements with optimal performance, encompassing structural, environmental, and architectural aspects. Such multi-functionality requires the viewing of 3D printing not just as a production technology but as a platform enabling the integration of all these components. To advance this approach, quantitative tools are developed to optimize the following three key components: material composition; manufacturing parameters to ensure buildability; and design tools to optimize multiple performance criteria, particularly structural and architectural shape. A demonstration component, namely a post-tensioned beam, featuring two multi-functional characteristics—structural and architectural—is designed, produced, and evaluated. The scientific concepts and research tools used to develop these quantitative design tools are multidisciplinary, including rheological characterization, control of the internal structure and composition of granular materials, simulation of the mechanical behavior of green material during printing, and the hardened properties of the components, all utilizing structural optimization to enhance performance. Full article
(This article belongs to the Special Issue Design and Properties of 3D Printing Concrete)
Show Figures

Figure 1

Figure 1
<p>Framework for developing a holistic approach to optimize construction components produced by 3D printing with cementitious materials.</p>
Full article ">Figure 2
<p>The geometry and post-tensioning scheme of the beam that was designed, fabricated, and tested to demonstrate the holistic approach.</p>
Full article ">Figure 3
<p>Particle size distribution of CEM I.</p>
Full article ">Figure 4
<p>Particle size distribution of the two mineral admixtures used in this study.</p>
Full article ">Figure 5
<p>Strength build-up in mortar mixes formulated for 3D printing (<a href="#materials-17-04653-t001" class="html-table">Table 1</a>).</p>
Full article ">Figure 6
<p>Development of static and dynamic yield stresses of the basic mortar mix designed for 3D printing.</p>
Full article ">Figure 7
<p>Dynamic modulus of elasticity curves obtained from ultrasonic testing during the first 60 minutes.</p>
Full article ">Figure 8
<p>Relation between the dynamic modulus of elasticity and the static yield stress for the mortar mix in <a href="#materials-17-04653-t001" class="html-table">Table 1</a>.</p>
Full article ">Figure 9
<p>Effect of accelerators on the static and dynamic yield stress values.</p>
Full article ">Figure 10
<p>Dynamic modulus of elasticity curves from ultrasonic testing, showing the effect of accelerating admixture on a mix: (<b>a</b>) first hour; (<b>b</b>) first 10 hours.</p>
Full article ">Figure 11
<p>The effect of low-modulus fibers on the rheological behavior of the cementitious mix: black, red, green and blue for the mixes with 0.45%, 0.375%, 0.30% and 0% fiber content by volume for the static yield values, respectively; dashed blue line for the dynamic yield stresses which were practically independent of fiber content.</p>
Full article ">Figure 12
<p>Effect of curing on the strength of the mix.</p>
Full article ">Figure 13
<p>Schematic plot predicting plastic collapse during the printing process. The red line represents the cumulative stress due to self-weight on a single layer, while the black line indicates the material’s static yield stress value. If the cumulative stress surpasses the static yield value, plastic collapse is predicted, as shown by the intersection marked with a blue circle.</p>
Full article ">Figure 14
<p>Linear functions fitted to the static yield evolution plots for a basic mortar mixture over the following three distinct time periods: 0 to 15 minutes, 15 to 30 minutes, and 30 minutes forward.</p>
Full article ">Figure 15
<p>Stress evolution over time for a tapered cylinder with a bottom radius of 400 mm, a top radius of 100 mm, and a height of 1000 mm printed with a basic mortar mixture (density of 2130 kg/m<sup>3</sup>) using a layer height of 10 mm and layer width of 20 mm at a printing velocity of 150 mm/s. The colorful step plot shows the cumulative stress on each layer, indicating whether the layers are predicted to experience plastic collapse based on the material’s static yield stress.</p>
Full article ">Figure 16
<p>The 4-point bending setup of the beam to be optimized and manufactured.</p>
Full article ">Figure 17
<p>Shape optimization of the beam using spline parameterization of layer-wise cross sections. <b>Left</b>: initial design; <b>Right</b>: 2D view of the optimized design, showing all 100 cross sections. Each colored line represents a single layer.</p>
Full article ">Figure 18
<p>Shape optimization of the beam using spline parameterization of layer-wise cross sections. Three-dimensional view of the optimized design, showing all 100 cross sections in the intended printing position of each symmetric half of the beam.</p>
Full article ">Figure 19
<p>The digital blueprint production process at the intersection of material characteristics, processing parameters, and design optimization.</p>
Full article ">Figure 20
<p>Step-by-step illustration of the digital blueprint production process for the designed half-beam curves. (<b>a</b>) Initial design of the half-beam curves; (<b>b</b>) creation of a smooth surface from the curves; (<b>c</b>) slicing the surface into the desired layer height; (<b>d</b>) placement of post-tensioning cables (in red); (<b>e</b>) iterative production of the infill pattern according to cable locations (in red); (<b>f</b>) visualized final 3D model.</p>
Full article ">Figure 21
<p>Plots of plastic collapse prediction of half-beam print path based on the material static yield evolution of the basic mortar mixture with varying printing velocities ((<b>a</b>) 70 mm/s; (<b>b</b>) 95 mm/s; (<b>c</b>) 120 mm/s). The black plot describes the material’s static yield stress as a function of elapsed time. The colored step plot describes the cumulative stress evolution in each printed layer.</p>
Full article ">Figure 22
<p>Illustration of the continuous printing path for the half-beams, showing the flipped printing direction of two alternating layers in two different colors, including the infill pattern.</p>
Full article ">Figure 23
<p>The 3D printing process of the first half-beam using a robotic cell setup.</p>
Full article ">Figure 24
<p>(<b>Left</b>) Printing the second half-beam. (<b>Right</b>) The completed half-beam, demonstrating a successful execution of the printing process over two consecutive days.</p>
Full article ">Figure 25
<p>Geometric accuracy evaluation of the printed half-beams. The color maps show the deviation of the scanned half-beams from the computational model. The first half-beam (<b>left</b>) and the second half-beam (<b>right</b>) are displayed from both back and front views. The color scale represents the distance deviation in meters.</p>
Full article ">Figure 26
<p>Optimized plots of layer stress buildup based on accelerator-enhanced mixtures’ static yield stress evolution with varying printing velocities ((<b>a</b>) 0% accelerator; (<b>b</b>) 1% accelerator; (<b>c</b>) 1.3% accelerator). The black plot describes the material’s static yield stress as a function of elapsed time. The colorful step plot shows the cumulative stress in each layer, indicating whether the layers are predicted to experience plastic collapse based on the material’s static yield stress.</p>
Full article ">Figure 26 Cont.
<p>Optimized plots of layer stress buildup based on accelerator-enhanced mixtures’ static yield stress evolution with varying printing velocities ((<b>a</b>) 0% accelerator; (<b>b</b>) 1% accelerator; (<b>c</b>) 1.3% accelerator). The black plot describes the material’s static yield stress as a function of elapsed time. The colorful step plot shows the cumulative stress in each layer, indicating whether the layers are predicted to experience plastic collapse based on the material’s static yield stress.</p>
Full article ">Figure 27
<p>Optimized plots of layer stress buildup based on fiber-enhanced mixtures’ static yield stress evolution with varying printing velocities ((<b>a</b>) 0% fibers; (<b>b</b>) 0.3% fibers; (<b>c</b>) 0.375% fibers; (<b>d</b>) 0.45% fibers). The black plot describes the material’s static yield stress as a function of elapsed time. The colorful step plot shows the cumulative stress in each layer, indicating whether the layers are predicted to experience plastic collapse based on the material’s static yield stress.</p>
Full article ">Figure 27 Cont.
<p>Optimized plots of layer stress buildup based on fiber-enhanced mixtures’ static yield stress evolution with varying printing velocities ((<b>a</b>) 0% fibers; (<b>b</b>) 0.3% fibers; (<b>c</b>) 0.375% fibers; (<b>d</b>) 0.45% fibers). The black plot describes the material’s static yield stress as a function of elapsed time. The colorful step plot shows the cumulative stress in each layer, indicating whether the layers are predicted to experience plastic collapse based on the material’s static yield stress.</p>
Full article ">
43 pages, 15860 KiB  
Review
Additive Manufacturing of Metal Materials for Construction Engineering: An Overview on Technologies and Applications
by Ilaria Capasso, Francesca Romana Andreacola and Giuseppe Brando
Metals 2024, 14(9), 1033; https://doi.org/10.3390/met14091033 - 11 Sep 2024
Viewed by 1562
Abstract
Additive manufacturing, better known as 3D printing, is an innovative manufacturing technique which allows the production of parts, with complex and challenging shapes, layer by layer mainly through melting powder particles (metallic, polymeric, or composite) or extruding material in the form of wire, [...] Read more.
Additive manufacturing, better known as 3D printing, is an innovative manufacturing technique which allows the production of parts, with complex and challenging shapes, layer by layer mainly through melting powder particles (metallic, polymeric, or composite) or extruding material in the form of wire, depending on the specific technique. Three-dimensional printing is already widely employed in several sectors, especially aerospace and automotive, although its large-scale use still requires the gain of know-how and to overcome certain limitations related to the production process and high costs. In particular, this innovative technology aims to overtake some of the shortcomings of conventional production methods and to obtain many additional advantages, such as reduction in material consumption and waste production, high level of customisation and automation, environmental sustainability, great design freedom, and reduction in stockpiles. This article aims to give a detailed review of the state of scientific research and progress in the industrial field of metal additive manufacturing, with a detailed view to its potential use in civil engineering and construction. After a comprehensive overview of the current most adopted additive manufacturing techniques, the fundamental printing process parameters to achieve successful results in terms of quality, precision, and strength are debated. Then, the already existing applications of metal 3D printing in the field of construction and civil engineering are widely discussed. Moreover, the strategic potentiality of the use of additive manufacturing both combined with topological optimisation and for the eventual repair of existing structures is presented. It can be stated that the discussed findings led us to conclude that the use of metal additive manufacturing in the building sector is very promising because of the several benefits that this technology is able to offer. Full article
Show Figures

Figure 1

Figure 1
<p>Historical evolution of additive manufacturing technology.</p>
Full article ">Figure 2
<p>Process sequence for producing an AM component.</p>
Full article ">Figure 3
<p>Schematic representations of different types of printers: (<b>a</b>) SLA printer; (<b>b</b>) FDM printer; (<b>c</b>) MJ printer; (<b>d</b>) SLS printer.</p>
Full article ">Figure 4
<p>Overview of the metal AM methods.</p>
Full article ">Figure 5
<p>Specimen manufactured with SLM, in which the stepped surface due to the different overlapping layers is visible (layer thickness: 50 microns).</p>
Full article ">Figure 6
<p>The supports in SLM: (<b>a</b>) The printed component on the construction plate with its supports. (<b>b</b>) Detail of the supports at the bottom of the component. (<b>c</b>) Defects due to nonperfect removal of supports. Reprinted with permission from refs. [<a href="#B42-metals-14-01033" class="html-bibr">42</a>,<a href="#B43-metals-14-01033" class="html-bibr">43</a>]. Copyright 2023 Elsevier Ltd.</p>
Full article ">Figure 7
<p>Schematic representation of an SLM printer.</p>
Full article ">Figure 8
<p>Schematic representation of a BJ printer.</p>
Full article ">Figure 9
<p>Graphical outline of the main features of metal 3D printing methods.</p>
Full article ">Figure 10
<p>Outline of additive technologies according to different parameters.</p>
Full article ">Figure 11
<p>The main process parameters involved in AM processes.</p>
Full article ">Figure 12
<p>The printing process parameters.</p>
Full article ">Figure 13
<p>The three most widely used scanning patterns: (<b>a</b>) stripes, (<b>b</b>) chessboard, (<b>c</b>) islands.</p>
Full article ">Figure 14
<p>Two identical pieces printed in vertical (<b>left</b>) and horizontal (<b>right</b>) direction. Reprinted from ref. [<a href="#B98-metals-14-01033" class="html-bibr">98</a>].</p>
Full article ">Figure 15
<p>Effects of a tensile load applied in the perpendicular (<b>a</b>) and parallel direction of layer deposition (<b>b</b>).</p>
Full article ">Figure 16
<p>The main printing directions and orientations of the parts: (<b>a</b>) vertical, (<b>b</b>) horizontal flat, (<b>c</b>) horizontal on edge.</p>
Full article ">Figure 17
<p>The MX3D bridge: (<b>a</b>) The finished 3D-printed bridge, before installation; (<b>b</b>) the bridge during installation; (<b>c</b>) the bridge after the inauguration on the Oudezijds Achterburgwal canal in Amsterdam. Reprinted with permission from refs. [<a href="#B79-metals-14-01033" class="html-bibr">79</a>,<a href="#B121-metals-14-01033" class="html-bibr">121</a>]. Copyright 2020 Elsevier Ltd.</p>
Full article ">Figure 18
<p>Load tests of MX3D bridge at the University of Twente. Reprinted with permission from ref. [<a href="#B79-metals-14-01033" class="html-bibr">79</a>]. Copyright 2020 Elsevier Ltd. Reprinted from ref. [<a href="#B122-metals-14-01033" class="html-bibr">122</a>].</p>
Full article ">Figure 19
<p>The Takenaka connector: (<b>a</b>) Geometry; (<b>b</b>) robotic arm filling the connector with casted mortar. Reprinted from ref. [<a href="#B123-metals-14-01033" class="html-bibr">123</a>].</p>
Full article ">Figure 20
<p>Optimization processes of the Takenaka connector. Reprinted from ref. [<a href="#B123-metals-14-01033" class="html-bibr">123</a>].</p>
Full article ">Figure 21
<p>Schematic representation of the proposed joining process. Reprinted with permission from ref. [<a href="#B132-metals-14-01033" class="html-bibr">132</a>]. Copyright 2019 Elsevier Ltd.</p>
Full article ">Figure 22
<p>The mechanical tests on the connection: (<b>a</b>) Scheme of the pull-out test; (<b>b</b>) scheme of the shear test; (<b>c</b>) results. Reprinted with permission from ref. [<a href="#B132-metals-14-01033" class="html-bibr">132</a>]. Copyright 2019 Elsevier Ltd.</p>
Full article ">Figure 23
<p>Aircraft bracket: (<b>a</b>) Mesh of the original component; (<b>b</b>) 3D-printed optimized shape. Reprinted with permission from ref. [<a href="#B129-metals-14-01033" class="html-bibr">129</a>]. Copyright 2015 Elsevier Ltd.</p>
Full article ">Figure 24
<p>Optimized suspension uprights. Reprinted with permission from ref. [<a href="#B138-metals-14-01033" class="html-bibr">138</a>]. Copyright 2017 Elsevier Ltd.</p>
Full article ">Figure 25
<p>Types of optimization processes: (<b>a</b>) Size optimization; (<b>b</b>) shape optimization; (<b>c</b>) topology optimization. Reprinted with permission from ref. [<a href="#B131-metals-14-01033" class="html-bibr">131</a>]. Copyright 2017 Elsevier Ltd.</p>
Full article ">Figure 26
<p>The most common methods adopted by topological optimisation software. Reprinted from ref. [<a href="#B140-metals-14-01033" class="html-bibr">140</a>].</p>
Full article ">Figure 27
<p>Optimized structures: (<b>a</b>) Sample based on DCO; (<b>b</b>) sample based on SCO; (<b>c</b>) sample based on CCO. Reprinted with permission from ref. [<a href="#B131-metals-14-01033" class="html-bibr">131</a>]. Copyright 2017 Elsevier Ltd.</p>
Full article ">Figure 28
<p>Examples of lattice structures: (<b>a</b>) Strut-based unit cells; (<b>b</b>) surface-based unit cells. Reprinted from ref. [<a href="#B150-metals-14-01033" class="html-bibr">150</a>].</p>
Full article ">Figure 28 Cont.
<p>Examples of lattice structures: (<b>a</b>) Strut-based unit cells; (<b>b</b>) surface-based unit cells. Reprinted from ref. [<a href="#B150-metals-14-01033" class="html-bibr">150</a>].</p>
Full article ">Figure 29
<p>Overview of different lattice strategies considered in [<a href="#B150-metals-14-01033" class="html-bibr">150</a>]: (<b>a</b>) Solid (SIMP) solution; (<b>b</b>) intersected lattice; (<b>c</b>) graded lattice; (<b>d</b>) scaled lattice; (<b>e</b>) uniform lattice. Reprinted from ref. [<a href="#B150-metals-14-01033" class="html-bibr">150</a>].</p>
Full article ">Figure 29 Cont.
<p>Overview of different lattice strategies considered in [<a href="#B150-metals-14-01033" class="html-bibr">150</a>]: (<b>a</b>) Solid (SIMP) solution; (<b>b</b>) intersected lattice; (<b>c</b>) graded lattice; (<b>d</b>) scaled lattice; (<b>e</b>) uniform lattice. Reprinted from ref. [<a href="#B150-metals-14-01033" class="html-bibr">150</a>].</p>
Full article ">Figure 30
<p>The models employed for the numerical investigation: (<b>a</b>) Solid (SIMP) solution; (<b>b</b>) intersected lattice of D-P; (<b>c</b>) intersected lattice of BCC; (<b>d</b>) graded lattice of D-P; (<b>e</b>) scaled lattice of D-P; (<b>f</b>) uniform lattice of D-P. Reprinted from ref. [<a href="#B150-metals-14-01033" class="html-bibr">150</a>].</p>
Full article ">Figure 31
<p>The total strain energy values for different design strategies. Reprinted from ref. [<a href="#B150-metals-14-01033" class="html-bibr">150</a>].</p>
Full article ">Figure 32
<p>Manufacturing issues: comparison between different design strategies. Reprinted from ref. [<a href="#B150-metals-14-01033" class="html-bibr">150</a>].</p>
Full article ">
14 pages, 3839 KiB  
Article
Three-Dimensional Double-Layer Multi-Stage Thermal Management Fabric for Solar Desalination
by Xiao Feng, Can Ge, Heng Du, Xing Yang and Jian Fang
Materials 2024, 17(17), 4419; https://doi.org/10.3390/ma17174419 - 7 Sep 2024
Viewed by 925
Abstract
Water scarcity is a serious threat to the survival and development of mankind. Interfacial solar steam generation (ISSG) can alleviate the global freshwater shortage by converting sustainable solar power into thermal energy for desalination. ISSG possesses many advantages such as high photothermal efficiency, [...] Read more.
Water scarcity is a serious threat to the survival and development of mankind. Interfacial solar steam generation (ISSG) can alleviate the global freshwater shortage by converting sustainable solar power into thermal energy for desalination. ISSG possesses many advantages such as high photothermal efficiency, robust durability, and environmental friendliness. However, conventional evaporators suffered from huge heat losses in the evaporation process due to the lack of efficient thermal management. Herein, hydrophilic Tencel yarn is applied to fabricate a three-dimensional double-layer fabric evaporator (DLE) with efficient multi-stage thermal management. DLE enables multiple solar absorptions, promotes cold evaporation, and optimizes thermal management. The airflow was utilized after structure engineering for enhanced energy evaporation efficiency. The evaporation rate can reach 2.86 kg·m−2·h−1 under 1 sun (1 kW·m−2), and 6.26 kg·m−2·h−1 at a wind speed of 3 m·s−1. After a long duration of outdoor operation, the average daily evaporation rate remains stable at over 8.9 kg·m−2, and the removal rate of metal ions in seawater reaches 99%. Overall, DLE with efficient and durable three-dimensional multi-stage thermal management exhibits excellent practicality for solar desalination. Full article
(This article belongs to the Special Issue Properties of Textiles and Fabrics and Their Processing)
Show Figures

Figure 1

Figure 1
<p>(<b>a</b>) Diagram of DLE weaving process, (<b>b</b>) schematic diagram of DLE, (<b>c</b>–<b>e</b>) SEM images of the DLE, (<b>f</b>) FTIR spectra of DLE and Tencel.</p>
Full article ">Figure 2
<p>(<b>a</b>) Schematic of the water contact angle of the photothermal fabric DLE, (<b>b</b>) optical images of DLE water supply capacity, (<b>c</b>) solar absorption spectrogram.</p>
Full article ">Figure 3
<p>(<b>a</b>) Infrared thermal imaging of DLE-Hs after 60 min of operation under 1 sun solar radiation, (<b>b</b>) initial and steady-state infrared thermal imaging of DLE-Ds.</p>
Full article ">Figure 4
<p>(<b>a</b>) The stable top, bottom, and side surface temperature of DLE-Hs under 1 sun radiation, (<b>b</b>) the stable upper and lower surface temperature of DLE-Ds under 1 sun radiation.</p>
Full article ">Figure 5
<p>(<b>a</b>) Diagram of desalination performance testing device, mass change of (<b>b</b>) DLE-Hs after 60 min of operation and (<b>c</b>) DLE-Ds under 1sun radiation.</p>
Full article ">Figure 6
<p>(<b>a</b>) Schematic of evaporation after loading wind energy, (<b>b</b>) evaporation rates of GOT-F, DLE-H4, DLE-D2 under 1 sun at low wind speeds, (<b>c</b>) evaporation rates of DLE-H4 and DLE-D2 under 1 sun at different wind speeds.</p>
Full article ">Figure 7
<p>(<b>a</b>) Mass change of DLE-D2 run for 8 h under 1 sun radiation, (<b>b</b>) evaporation rate of DLE-D2 before and after 20 washes, (<b>c</b>) evaporation rate and mass change of DLE-D2 after 10 cycles under 1 sun radiation, (<b>d</b>) SEM image after friction treatment and long cycle.</p>
Full article ">Figure 8
<p>(<b>a</b>) Mass change of DLE-D2 in three different concentrations of brine under 1 sun radiation, (<b>b</b>) diagram of DLE self-cleaning, (<b>c</b>) mass change curve of DLE-2 running in saline water for 8 h under a solar intensity of 1 kw·m<sup>−2</sup>, (<b>d</b>–<b>f</b>) ultraviolet-visible absorption spectra of dye wastewater treated with DLE.</p>
Full article ">Figure 9
<p>(<b>a</b>) Schematic diagram of outdoor test with DLE-D2, (<b>b</b>) evaporation capacity during outdoor testing for 5 days, (<b>c</b>) cumulative mass change during a continuous test from 9:00 to 17:00.</p>
Full article ">
16 pages, 2597 KiB  
Review
Sustainable Production of Ulva Oligosaccharides via Enzymatic Hydrolysis: A Review on Ulvan Lyase
by Ailan Huang, Xinming Wu, Fuping Lu and Fufeng Liu
Foods 2024, 13(17), 2820; https://doi.org/10.3390/foods13172820 - 5 Sep 2024
Viewed by 930
Abstract
Ulvan is a water-soluble sulfated polysaccharide extracted from the green algae cell wall. Compared with polysaccharides, oligosaccharides have drawn increasing attention in various industries due to their enhanced biocompatibility and solubility. Ulvan lyase degrades polysaccharides into low molecular weight oligosaccharides through the β [...] Read more.
Ulvan is a water-soluble sulfated polysaccharide extracted from the green algae cell wall. Compared with polysaccharides, oligosaccharides have drawn increasing attention in various industries due to their enhanced biocompatibility and solubility. Ulvan lyase degrades polysaccharides into low molecular weight oligosaccharides through the β-elimination mechanism. The elucidation of the structure, catalytic mechanism, and molecular modification of ulvan lyase will be helpful to obtain high value-added products from marine biomass resources, as well as reduce environmental pollution caused by the eutrophication of green algae. This review summarizes the structure and bioactivity of ulvan, the microbial origin of ulvan lyase, as well as its sequence, three-dimensional structure, and enzymatic mechanism. In addition, the molecular modification of ulvan lyase, prospects and challenges in the application of enzymatic methods to prepare oligosaccharides are also discussed. It provides information for the preparation of bioactive Ulva oligosaccharides through enzymatic hydrolysis, the technological bottlenecks, and possible solutions to address these issues within the enzymatic process. Full article
(This article belongs to the Section Food Biotechnology)
Show Figures

Figure 1

Figure 1
<p>The disaccharide unit structures of ulvan.</p>
Full article ">Figure 2
<p>The various physiological activities of ulvan.</p>
Full article ">Figure 3
<p>Phylogenetic analysis of ulvan lyase from five families.</p>
Full article ">Figure 4
<p>Crystal structures of ulvan lyase of PL24, PL25, and PL28 families. (<b>a</b>) LOR_107 of the PL24 family (PDB ID:6BYP) [<a href="#B70-foods-13-02820" class="html-bibr">70</a>], (<b>b</b>) PLSV_3936 of the PL25 family (PDB ID: 5UAM) [<a href="#B58-foods-13-02820" class="html-bibr">58</a>], (<b>c</b>) NLR48 of the PL28 family (PDB ID:6D3U) [<a href="#B62-foods-13-02820" class="html-bibr">62</a>].</p>
Full article ">Figure 5
<p>The proposed catalytic mechanisms for ulvan lyase. (<b>a</b>) LOR_107 of the PL24 family, (<b>b</b>) PLSV_3936 of the PL25 family, (<b>c</b>) NLR48 of the PL28 family.</p>
Full article ">Figure 6
<p>The substrate along with the 100 ns MD simulations of WT and mutant N57P. (<b>a</b>) The RMSD of the substrate in WT and N57P from the MD simulations; (<b>b</b>) the protein and substrate structures of WT at 0 ns and 100 ns, the complex structure of 0 ns was shown in cyan, structure of 100 ns was shown in purple; (<b>c</b>) the protein and substrate structures of N57P at 0 ns and 100 ns, the structure of 0 ns was shown in orange, structure of 100 ns was shown in pale green.</p>
Full article ">
Back to TopTop