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Search Results (369)

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26 pages, 5337 KiB  
Article
Seismic Performance of a Full-Scale Moment-Frame Housing System Constructed with Recycled Tetra Pak (Thermo-Stiffened Polymeric Aluminum Composite)
by Federico Nuñez-Moreno, Daniel M. Ruiz, Sebastián Aristizabal-Vargas, Camilo Gutierrez-Quintero and Yezid A. Alvarado
Buildings 2025, 15(5), 813; https://doi.org/10.3390/buildings15050813 - 4 Mar 2025
Viewed by 151
Abstract
To address the growing need for sustainable and resilient building materials, the seismic performance of a full-scale moment-frame housing system constructed entirely from recycled Tetra Pak panels (thermo-stiffened polymeric aluminum or TSPA) was evaluated. The study presents an innovative approach to utilizing waste [...] Read more.
To address the growing need for sustainable and resilient building materials, the seismic performance of a full-scale moment-frame housing system constructed entirely from recycled Tetra Pak panels (thermo-stiffened polymeric aluminum or TSPA) was evaluated. The study presents an innovative approach to utilizing waste materials for structural applications, emphasizing the lightweight and modular nature of the system. The methodology included material characterization, finite element modeling (FEM), gravitational loading tests, and biaxial shake table tests. Seismic tests applied ground motions corresponding to 31-, 225-, 475-, and 2500-year return periods. Drift profiles and acceleration responses confirmed the elastic behavior of the system, with no residual deformation or structural damage observed, even under simultaneous peak ground accelerations of 0.37 g (x-direction) and 0.52 g (y-direction). Notably, the structure accelerations were amplified to 1.10 g in the y-direction (at the top of the structure), exceeding the design spectrum acceleration of 0.7 g without compromising stiffness or resistance. These results underscore the robust seismic performance of the system. The finite element model of the housing module was validated with the experimental results which predicted the structural response, including natural periods, accelerations, and drift profiles (up to 89% accuracy). The novelty of this research is that it is one of the first to perform shaking table seismic testing on a full-scale housing module made of recycled materials (Tetra Pak), specifically under biaxial motions, providing a unique evaluation of its performance under multidirectional seismic demands. This research also highlights the potential of recycled Tetra Pak materials for sustainable construction, providing an adaptable solution for earthquake-prone regions. The modular design allows for rapid assembly and disassembly, supporting scalability and the circular economy principle. Full article
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<p>Proposed methodology to assess the seismic performance of a full-scale moment-frame housing system constructed with recycled Tetra Pak.</p>
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<p>Structural configuration of the housing system: (<b>a</b>) Constructed house implementing the structural solution; (<b>b</b>) Structural elevation and plan (units in mm); (<b>c</b>) 3D model; (<b>d</b>) Beam–column connection model.</p>
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<p>Failure of beam-to-column connection after pseudo-static testing.</p>
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<p>Finite element model developed in the software SAP 2000: (<b>a</b>) complete model of the structure including columns, connections, beams, and girders; (<b>b</b>) isolated model of the beam-to-column connection (units in MPa).</p>
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<p>(<b>a</b>) Area types within the structural floor plan; (<b>b</b>) prototype with the areas divided and DAQ systems during the test; (<b>c</b>) dead weight applied according to the established protocol; (<b>d</b>) visible deflection when applied load reached 100% of the service magnitude at 100 h.</p>
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<p>Experimental average deflections recorded at girders’ midspan.</p>
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<p>Ground motion records in the x- and y-directions: (<b>a</b>) Acceleration records; (<b>b</b>) pseudo-acceleration response spectrum at 5% damping. The red circles in the acceleration records indicate the maximum value.</p>
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<p>Location of sensors used in seismic tests. (<b>a</b>) Photograph; (<b>b</b>) plan view.</p>
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<p>(<b>a</b>) Full-scale prototype mounted on the MTS biaxial shaking table prior to testing; (<b>b</b>) 3D schematic representation of the experimental setup.</p>
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<p>Acceleration recorded at point C. The red circles in the acceleration records indicate the maximum value.</p>
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<p>Fast Fourier Transform (FFT) of the recorded signals at the end of each seismic motion protocol in the x-direction, compared with the fundamental frequency predicted by the FEM.</p>
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<p>Drift time histories for all the intensities, based on the total displacements registered by the laser extensometers (x-direction). The red circles in the acceleration records indicate the maximum value.</p>
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<p>Maximum drift profiles for each phase of the seismic protocol, compared with the FEM predictions in both the x- and y-directions.</p>
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<p>Acceleration profiles throughout the seismic motion protocol, compared with FEM results in both directions of motion.</p>
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<p>Full-scale housing units constructed using the proposed recycled Tetra Pak-based structural system as part of the spin-off initiative.</p>
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12 pages, 5401 KiB  
Article
Comparison of 2D and 3D Surface Roughness Parameters of AlMgSi0.5 Aluminium Alloy Surfaces Machined by Abrasive Waterjet
by Csaba Felhő, Krisztina Kun-Bodnár and Zsolt Maros
J. Manuf. Mater. Process. 2025, 9(3), 80; https://doi.org/10.3390/jmmp9030080 - 2 Mar 2025
Viewed by 224
Abstract
The use of 3D roughness parameters is increasingly gaining ground in various areas of engineering, especially in academic research. In many cases, however, these studies primarily cover the illustration of the character of the surfaces, the interpretation of areal numerical roughness values is [...] Read more.
The use of 3D roughness parameters is increasingly gaining ground in various areas of engineering, especially in academic research. In many cases, however, these studies primarily cover the illustration of the character of the surfaces, the interpretation of areal numerical roughness values is often disputed. The goal of this paper is to examine how the 2D and 3D roughness parameters change in the case of anisotropic surfaces, such as surfaces cut with an abrasive water jet. For this purpose, abrasive water jet cutting experiments were performed on AlMgSi0.5 aluminum alloy using different technological parameters. After the experiments, two amplitude-type 3D roughness parameters (Sa and Sz) of the cut surface and four profile parameters (Ra, Rz for roughness and Pa, Pz for raw profile) were measured at five different depths. Our conducted research indicates that the 3D parameters represent a kind of average value for certain roughness characteristics and a maximum value for others. The paper also reports on how these roughness characteristics change as a function of feed speed. Full article
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<p>Surface of AlMgSi0.5 alloy cut with abrasive water jet at feed speeds of (<b>a</b>) v<sub>f</sub> = 50 mm/min and (<b>b</b>) v<sub>f</sub> = 350 mm/min.</p>
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<p>The AWJ system overview: (<b>a</b>) the INNO PUMP 36HD type abrasive waterjet cutting machine; (<b>b</b>) schematic diagram of the process.</p>
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<p>AltiSurf 520 three-dimensional surface topography device.</p>
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<p>Areal roughness images of the cut surface of AlMgSi0.5 alloy cut with abrasive water jet when using feed speeds (<b>a</b>) v<sub>f</sub> = 50 mm/min; and (<b>b</b>) v<sub>f</sub> = 350 mm/min.</p>
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<p>Variation in the roughness parameters S<sub>z</sub> and P<sub>z</sub> as a function of the distance from the jet entry side.</p>
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<p>Variation in roughness metrics S<sub>a</sub> and P<sub>a</sub> as a function of distance from the jet entry side.</p>
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<p>Variation in roughness indices S<sub>a</sub> and R<sub>a</sub> as a function of distance from the jet entry side.</p>
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<p>Surface topography of the cut surfaces for different feed speeds: (<b>a</b>) v<sub>f</sub> = 50 mm/min; (<b>b</b>) v<sub>f</sub> = 100 mm/min; (<b>c</b>) v<sub>f</sub> = 150 mm/min; (<b>d</b>) v<sub>f</sub> = 200 mm/min; (<b>e</b>) v<sub>f</sub> = 250 mm/min; (<b>f</b>) v<sub>f</sub> = 300 mm/min.</p>
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<p>Variation in roughness indices S<sub>a</sub> and S<sub>z</sub> as a function of feed speed.</p>
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<p>Variation in profile parameter P<sub>z</sub> as a function of feed speed at different depths.</p>
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<p>Variation in average profile error P<sub>a</sub> as a function of feed speed at different depths.</p>
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14 pages, 8009 KiB  
Article
Influence of Piston Lubricant on the Distribution of Defects in Cold Chamber High Pressure Die Casting
by Jingzhou Lu, Ewan Lordan, Yijie Zhang, Zhongyun Fan and Kun Dou
Lubricants 2025, 13(3), 99; https://doi.org/10.3390/lubricants13030099 - 24 Feb 2025
Viewed by 370
Abstract
In the cold chamber high pressure die casting process (CC-HPDC) for light alloys, the piston lubricants play a key role in protecting the piston tip from wearing and ensure adequate seal with the shot sleeve. However, during the production process, the pouring of [...] Read more.
In the cold chamber high pressure die casting process (CC-HPDC) for light alloys, the piston lubricants play a key role in protecting the piston tip from wearing and ensure adequate seal with the shot sleeve. However, during the production process, the pouring of overheated aluminum alloy melt into the shot sleeve would lead to evaporation and burning of the lubricants once in contact with the piston tip. The burning products, however, would form gas and non-metallic inclusions in the melt which would be transported and injected into the die area and finally trapped in the castings, all of which would affect the mechanical properties of the as-cast samples and deteriorate the product quality. To further investigate this issue, a pilot scale HPDC machine is used and the lubricant burning issue is studied based on material characterization and numerical modelling. The chemical composition, size, and morphology of the burned products are observed using scanning electron microscope (SEM) and energy dispersive spectrometer (EDS). In order to better explore the issue of lubricant combustion discovered in the experiment, a finite element model describing the entire HPDC process is established and the burning, motion, and trapping of the lubricant are calculated. The final distribution of the burned products such as gas and non-metallic inclusions are predicted and their influence on final solidification quality of the as-cast products under various process parameters are analyzed qualitatively. Finally, a slow shot velocity range of 0.4–0.6 m/s and an acceleration profile that ramps up to 0.3 m/s over 0–370 mm of the shot sleeve proved to be the most effective in reducing air entrainment and oxide inclusions to alleviate the burning of lubricant on final product quality. Full article
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<p>Source of non-metallic inclusions. (<b>a</b>) Micrograph showing a representative non-metallic inclusion observed on the fracture surface of a fatigue specimen extracted from an automotive component. (<b>b</b>) Image of a shot chamber filling test sample, with the inlet corresponding to the pouring hole. (<b>c</b>) Enlarged view of the dashed region highlighted in (<b>b</b>).</p>
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<p>FEM models (<b>a</b>) HPDC system model. (<b>b</b>) Round-mold model. (<b>c</b>) S-shape model.</p>
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<p>Observation of fracture surfaces of samples with different tensile strengths obtained by HPDC. (<b>a</b>) UTS: 275.4 MPa, EL: 6.38%; (<b>b</b>) UTS: 278.4 MPa, EL: 7.12%; (<b>c</b>) UTS: 280.1 MPa, EL: 7.35% (<b>d</b>) Enlarged red area in (<b>b</b>).</p>
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<p>EDS results of tensile sample fracture surface.</p>
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<p>Flow field validation between experiments and modelling during the filling process for the (<b>a</b>) Round-mold model and the (<b>b</b>) S-shape model.</p>
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<p>Prediction and observation of defects in corresponding parts in the casting system.</p>
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<p>Distribution of oxides during die-casting process.</p>
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<p>Air entrapment in casting samples at a slow shot velocity of 0.2–0.3 m/s.</p>
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<p>Air entrapment in casting samples at a slow shot velocity of 0.4–0.6 m/s.</p>
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<p>Air entrapment in casting samples at a slow shot velocity of 0.6–1.0 m/s.</p>
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<p>The motion trajectory of particles of different sizes in the mold.</p>
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<p>Six-piston slow-shot acceleration modes.</p>
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<p>The relationship between displacement and velocity under 6 piston slow shot acceleration modes.</p>
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<p>Air entrapment at the casting mold under 6 piston slow shot acceleration modes.</p>
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18 pages, 2155 KiB  
Article
Towards Rapid and Low-Cost Stroke Detection Using SERS and Machine Learning
by Cristina Freitas, João Eleutério, Gabriela Soares, Maria Enea, Daniela Nunes, Elvira Fortunato, Rodrigo Martins, Hugo Águas, Eulália Pereira, Helena L. A. Vieira, Lúcio Studer Ferreira and Ricardo Franco
Biosensors 2025, 15(3), 136; https://doi.org/10.3390/bios15030136 - 22 Feb 2025
Viewed by 330
Abstract
Stroke affects approximately 12 million individuals annually, necessitating swift diagnosis to avert fatal outcomes. Current hospital imaging protocols often delay treatment, underscoring the need for portable diagnostic solutions. We have investigated silver nanostars (AgNS) incubated with human plasma, deposited on a simple aluminum [...] Read more.
Stroke affects approximately 12 million individuals annually, necessitating swift diagnosis to avert fatal outcomes. Current hospital imaging protocols often delay treatment, underscoring the need for portable diagnostic solutions. We have investigated silver nanostars (AgNS) incubated with human plasma, deposited on a simple aluminum foil substrate, and utilizing Surface-Enhanced Raman Spectroscopy (SERS) combined with machine learning (ML) to provide a proof-of-concept for rapid differentiation of stroke types. These are the seminal steps for the development of low-cost pre-hospital diagnostics at point-of-care, with potential for improving patient outcomes. The proposed SERS assay aims to classify plasma from stroke patients, differentiating hemorrhagic from ischemic stroke. Silver nanostars were incubated with plasma and spiked with glial fibrillary acidic protein (GFAP), a biomarker elevated in hemorrhagic stroke. SERS spectra were analyzed using ML to distinguish between hemorrhagic and ischemic stroke, mimicked by different concentrations of GFAP. Key innovations include optimized AgNS–plasma incubates formation, controlled plasma-to-AgNS ratios, and a low-cost aluminum foil substrate, enabling results within 15 min. Differential analysis revealed stroke-specific protein profiles, while ML improved classification accuracy through ensemble modeling and feature engineering. The integrated ML model achieved rapid and precise stroke predictions within seconds, demonstrating the assay’s potential for immediate clinical decision-making. Full article
(This article belongs to the Special Issue Surface-Enhanced Raman Scattering in Biosensing Applications)
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Graphical abstract

Graphical abstract
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<p>Schematic representation of a stroke diagnostic workflow using surface-enhanced Raman Spectroscopy (SERS) and artificial intelligence (AI). After blood collection from a patient suspected of stroke, centrifugation allows us to obtain plasma (in this work, we have used commercial human plasma spiked with GFAP as a proof-of-concept). Plasma is then mixed with AgNSs and incubated for 15 min before a drop is deposited on an aluminum substrate and analyzed using a Raman spectrometer. We have used a benchtop Raman spectrometer equipped with a microscope, but field use is envisaged with a portable Raman system. The obtained SERS spectra are analyzed using an optimized Machine Learning Classifier. The results can help with the definition of stroke type, and, ultimately, in stroke diagnosis.</p>
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<p>Workflow to classify SERS spectra of incubates of AgNS with plasma.</p>
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<p>Scanning electron microscopy (SEM) representative micrographs, illustrating the morphological characteristics of native AgNSs, or plasma–AgNS incubates. (<b>A</b>) AgNSs in their native form. (<b>B</b>) AgNS incubated with plasma for 15 min. (<b>C</b>) AgNS incubated with plasma overnight.</p>
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<p>SERS spectra of plasma samples mixed with AgNS and varying concentrations of GFAP (0.1 ng/mL, 0.5 ng/mL, and 1 ng/mL) after 15 min of incubation. The spectrum of plasma without GFAP is shown for comparison. Spectral traces were offset for clarity.</p>
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<p>Confusion matrix for one of the testing data sets.</p>
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40 pages, 10033 KiB  
Article
Characterization, Performance, and Efficiency Analysis of Hybrid Photovoltaic Thermal (PVT) Systems
by Md Tofael Ahmed, Masud Rana Rashel, Mahmudul Islam, Tania Tanzin Hoque, Mouhaydine Tlemçani and Fernando M. Janeiro
Energies 2025, 18(5), 1050; https://doi.org/10.3390/en18051050 - 21 Feb 2025
Viewed by 182
Abstract
Hybrid PVT systems simultaneously produce electrical energy using photovoltaic technology and thermal energy using a heat extraction method that collects induced heat from the module. The purpose of this work is to establish a PVT system based on characterization, efficiency study, and performance [...] Read more.
Hybrid PVT systems simultaneously produce electrical energy using photovoltaic technology and thermal energy using a heat extraction method that collects induced heat from the module. The purpose of this work is to establish a PVT system based on characterization, efficiency study, and performance analysis for both an electrical and a thermal system. A mathematical analysis of the electrical, thermal, and optical model is performed to establish the proposed system. Three types of heat exchanger pipes, including stainless steel, aluminum, and copper, are considered for a heat transfer analysis of the system. The results include temperature profiling, a comparison of the PVT system’s different components, and an overall output and efficiency study for all of the mentioned pipes. Results show that the obtained electrical and thermal efficiency for stainless steel is 0.1653 and 0.237, respectively, for aluminum it is 0.16515 and 0.2401, respectively, and for copper it is 0.16564 and 0.24679, respectively. After comparison, it was found that the overall efficiency for stainless steel is 0.40234, for aluminum is 0.40526, and for copper is 0.41244. Thus, this study will enhance the opportunity to provide an effective hybrid PVT energy management system. Full article
(This article belongs to the Collection Featured Papers in Solar Energy and Photovoltaic Systems Section)
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<p>General outline of the Hybrid PVT System.</p>
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<p>Illustration of the proposed Hybrid PVT System.</p>
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<p>PVT system simulation model.</p>
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<p>PVT system electrical equivalent model.</p>
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<p>I-V curve and P-V curve variation for different cell temperatures [<a href="#B2-energies-18-01050" class="html-bibr">2</a>].</p>
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<p>MPP values for different temperature values [<a href="#B2-energies-18-01050" class="html-bibr">2</a>].</p>
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<p>Process flowchart for the proposed PVT system.</p>
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<p>Irradiance values for a one-day period.</p>
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<p>Schematic of a heat exchanger pipe in a PVT system.</p>
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<p>Temperature dynamics of hybrid PVT system.</p>
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<p>Electric and thermal power output of hybrid PVT system.</p>
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<p>PV panel vs. back surface temperature.</p>
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<p>Back surface vs. tank water temperature for stainless steel.</p>
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<p>Tank water volume dynamics.</p>
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<p>Electrical vs. thermal power output of the PVT.</p>
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<p>Panel temperature vs. water temperature.</p>
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<p>Total power output vs. power input.</p>
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<p>Efficiency analysis of PVT system.</p>
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<p>Temperature behavior of hybrid PVT system.</p>
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<p>Electric and thermal power output using aluminum pipe.</p>
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<p>PV panel vs. back surface temperature for aluminum.</p>
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<p>Back surface vs. tank water temperature for aluminum.</p>
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<p>Tank water volume dynamics for aluminum.</p>
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<p>Electrical vs. thermal power output for aluminum.</p>
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<p>Comparison of panel temperature and water temperature for aluminum pipe.</p>
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<p>Comparison between output power and input power.</p>
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<p>Obtained efficiencies of PVT system using aluminum as heat exchanger.</p>
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<p>Temperature variation of PVT components.</p>
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<p>Electric and thermal power output using copper pipe.</p>
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<p>PV panel vs. back surface temperature for copper heat exchanger.</p>
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<p>Temperature variation of back surface vs. tank water.</p>
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<p>Tank water volume dynamics for copper heat exchanger.</p>
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<p>Comparison of electrical and thermal power output for copper.</p>
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<p>Comparison of panel temperature and water temperature for copper pipe.</p>
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<p>Comparison of output and input power.</p>
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<p>Obtained efficiencies of the PVT system using copper as heat exchanger.</p>
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<p>Electrical efficiency comparison.</p>
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<p>Thermal efficiency comparison.</p>
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<p>Total efficiency comparison.</p>
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23 pages, 2096 KiB  
Article
Long-Term Variability in the Content of Some Metals and Metalloids in Aesculus Flowers: A Four-Year Study Using ICP OES and PCA Analysis
by Veronica D’Eusanio, Elia Frignani, Andrea Marchetti, Laura Pigani, Mirco Rivi and Fabrizio Roncaglia
Molecules 2025, 30(4), 908; https://doi.org/10.3390/molecules30040908 - 15 Feb 2025
Viewed by 369
Abstract
This study investigates the content of some metals and metalloids in the flowers of three Aesculus cultivars (AHP, Aesculus hippocastanum pure species, with white flowers; AHH, Aesculus hippocastanum hybrid species, with pink flowers; and AXC, Aesculus × carnea, with red flowers) over [...] Read more.
This study investigates the content of some metals and metalloids in the flowers of three Aesculus cultivars (AHP, Aesculus hippocastanum pure species, with white flowers; AHH, Aesculus hippocastanum hybrid species, with pink flowers; and AXC, Aesculus × carnea, with red flowers) over a four-year period (2016–2019) using inductively coupled plasma optical emission spectrometry (ICP OES) and principal component analysis (PCA). The research focuses on assessing macro- and micro-elemental compositions, identifying variations in mineral uptake, and exploring potential correlations with soil composition. Results highlight significant differences in elemental profiles among the three species, despite similar total ash content. Potassium and phosphorus emerged as dominant macroelements, with AXC showing lower magnesium levels compared to AHP and AHH. Particularly intriguing was the detection of antimony in all cultivars, raising questions about its role and bioaccumulation pathways in floral tissues. Iron and aluminum concentrations varied significantly across species, indicating species-specific metal transport mechanisms. Nickel content showed temporal fluctuations, potentially influenced by climatic conditions and soil properties. PCA revealed distinct clustering patterns, linking elemental concentrations to specific species and years. This comprehensive analysis enhances understanding of metal absorption and distribution in ornamental plants, providing insights into their metabolic processes and potential implications for environmental monitoring and phytoremediation strategies. Full article
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<p>Chemical structures of some compounds present in essential oils extracted from flowers of <span class="html-italic">Aesculus</span> species; paromomycin (<b>left</b>) and corydaldine (<b>right</b>).</p>
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<p>Radar plot depicting the concentration of major elements determined in AHP, AHH and AXC flower samples. The data have been scaled to better visualize the differences between samples (Ca: mg/100 g <math display="inline"><semantics> <mrow> <mo>×</mo> </mrow> </semantics></math> 10<sup>−1</sup>; K: mg/100 g <math display="inline"><semantics> <mrow> <mo>×</mo> </mrow> </semantics></math> 10<sup>−3</sup>; Mg: mg/100 g <math display="inline"><semantics> <mrow> <mo>×</mo> </mrow> </semantics></math> 10<sup>−1</sup>; Na: mg/100 g <math display="inline"><semantics> <mrow> <mo>×</mo> </mrow> </semantics></math> 10<sup>−1</sup>; P: mg/100 g <math display="inline"><semantics> <mrow> <mo>×</mo> </mrow> </semantics></math> 10<sup>−2</sup>; Si: mg/100 g <math display="inline"><semantics> <mrow> <mo>×</mo> </mrow> </semantics></math> 10<sup>−1</sup>; Sb: mg/100 g).</p>
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<p>Substituent groups responsible for forming coordination compounds in brassinosteroids (BRs).</p>
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<p>Iron (Fe) content in AHP, AHH, and AXC flower samples over the four years of study.</p>
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<p>Nickel (Ni) content in AHP, AHH, and AXC flower samples over the four years of study.</p>
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<p>PCA Biplot.</p>
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17 pages, 7335 KiB  
Article
Dynamic Plasticity and Fracture of Al 7075 and V95T1 Alloys: High-Velocity Impact Experiments
by Egor S. Rodionov, Andrey Ya. Cherepanov, Alfiya G. Fazlitdinova, Timur T. Sultanov, Victor G. Lupanov, Polina N. Mayer and Alexander E. Mayer
Dynamics 2025, 5(1), 6; https://doi.org/10.3390/dynamics5010006 - 15 Feb 2025
Viewed by 283
Abstract
A novel method to measure dynamic flow stress and corresponding strain rates obtained from Taylor tests using profiled samples with a reduced cylindrical head part was applied to study the dynamic characteristics of similar commercial 7075 and V95T1 aluminum alloys. The measured dynamic [...] Read more.
A novel method to measure dynamic flow stress and corresponding strain rates obtained from Taylor tests using profiled samples with a reduced cylindrical head part was applied to study the dynamic characteristics of similar commercial 7075 and V95T1 aluminum alloys. The measured dynamic flow stress is verified using a classical Taylor’s approach with uniform cylinders and compared with the literature data. Our study shows that the dynamic flow stress of 7075 alloy, which is 786 MPa at strain rates of (4–8) × 103 s−1, exceeds the value of 624 MPa for V95T1 alloy at strain rates of (2–6) × 103 s−1 by 25%. The threshold impact velocity resulting in fracture of the 4 mm head part of the profiled samples is 116–130 m/s for 7075 alloy and only 108 m/s for V95T1 alloy. The fracture pattern is also different between the alloys with characteristic shear-induced cracks oriented at 45° to the impact direction in the case of V95T1 alloy and perpendicular to the breaking off head part in the case of 7075 alloy. On the other hand, the compressive fracture strain of V95T1 alloy, which is 0.29–0.36, exceeds that of 7075 alloy, which is 0.27–0.33, by approximately 8%. Thus, V95T1 aluminum alloy exhibits less strength but is more ductile, while 7075 aluminum alloy exhibits more strength but is simultaneously more brittle. Full article
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<p>Initial shapes of the aluminum impactors used in the Taylor tests.</p>
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<p>Experimental setup: (<b>a</b>) Schematic representation of the shock tube design; (<b>b</b>) Centering system, which serves to ensure normal impact; (<b>c</b>) Transition cuff, directing the pressure from the pumping chamber into the polypropylene tube; (<b>d</b>) Centering ring, which is the main element of the centering system.</p>
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<p>Photographs of classic cylindrical samples after dynamic testing: (<b>a</b>) Al7075 alloy; (<b>b</b>) V95T1 alloy.</p>
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<p>Photographs of profiled samples with a reduced head part after dynamic testing: (<b>a</b>) Al7075 alloy; (<b>b</b>) V95T1 alloy.</p>
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<p>Photographs of the deformed impactors and their fractured parts: (<b>a</b>) Impact surface of classic 8 mm cylinder of V95T1 alloy, and the impact velocity is 175 m/s; (<b>b</b>) Broken-off head part of profiled 4 mm cylinder of 7075 alloy, and the impact velocity is 116.3 m/s; (<b>c</b>) Fracture surface of the profiled 4 mm impactor made of V95T1 alloy, and the impact velocity is 140 m/s.</p>
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<p>Experimental results: (<b>a</b>) Normalized length for classical 8 mm cylinders; (<b>b</b>) Normalized diameter for classical 8 mm cylinders; (<b>c</b>) Normalized length for profiled 4 mm cylinders; (<b>d</b>) Normalized diameter for profiled 4 mm cylinders. Normalization is performed with respect to the initial values before dynamic deformation. A comparison of data for 7075 alloy and V95T1 alloy is presented.</p>
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<p>SEM fractograms of the fracture surface on the head part of V95T1 alloy with an impact velocity of 108 m/s: (<b>a</b>) Fracture surface with the white ellipse highlighting the fragment of material on which sliding occurred during fracture; (<b>b</b>) Enlarged photograph of the surface of the material that did not experience sliding during fracture. The studied areas are shown by the white circles in the photographs of the fractured head part of the impactor.</p>
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<p>SEM fractograms of the fractured head part of 7075 alloy with an impact velocity of 116.3 m/s: (<b>a</b>–<b>c</b>) Photographs of the spongy structure of the fracture surface at different magnifications; (<b>d</b>) Photograph of the fractured head part at low magnification with a large number of cracks observed on the surface.</p>
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<p>Dynamic flow stress of aluminum alloys calculated using the experimental results for 4 mm profiled cylinders: (<b>a</b>) Fitting of the yield stress to the dependencies of the final normalized length of the head part on the impact velocity for 7075 alloy; (<b>b</b>) The same for V95T1 alloy; (<b>c</b>) Estimates of the flow stress from individual experiments as compared with the optimized level plotted versus impact velocity for 7075 alloy; (<b>d</b>) The same for V95T1 alloy; (<b>e</b>) The same plot versus strain rate velocity for 7075 alloy; (<b>f</b>) The same for V95T1 alloy.</p>
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<p>Dynamic flow stress of aluminum alloys calculated using the experimental results for 8 mm classical uniform cylinders made of the following: (<b>a</b>) 7075 alloy; (<b>b</b>) V95T1 alloy. Estimates of the flow stress from individual experiments are plotted versus impact velocity in comparison with the optimization results for 4 mm profiled cylinders (horizontal lines).</p>
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<p>Estimation of fracture strain for the following: (<b>a</b>) 7075 alloy; (<b>b</b>) V95T1 alloy. Experimental engineering strains are plotted versus the impact velocity together with their fittings in approximation of constant flow stress. Velocities of the experimentally fractured samples (vertical lines) and the corresponding strain levels (horizontal lines) are noted by red dashed lines, while an intermediate intact 7075 sample is noted by solid greed lines.</p>
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26 pages, 21567 KiB  
Article
Comprehensive Optimization and Design of an Electric Vehicle Battery Box Side Profile for Lightweight and Crashworthiness Using a Novel Hybrid Structure
by Muhammet Arslan and Mehmet İhsan Karamangil
Appl. Sci. 2025, 15(4), 2037; https://doi.org/10.3390/app15042037 - 15 Feb 2025
Viewed by 364
Abstract
Lightweighting is a critical focus in the transportation sector, directly enhancing efficiency and significantly reducing costs. In electric vehicle (EV) design, the body surrounding the battery must effectively absorb impact, especially during crashes. This study aims to improve the crash performance of the [...] Read more.
Lightweighting is a critical focus in the transportation sector, directly enhancing efficiency and significantly reducing costs. In electric vehicle (EV) design, the body surrounding the battery must effectively absorb impact, especially during crashes. This study aims to improve the crash performance of the side profiles in the battery box of an M1 category vehicle. It is based on the crash test in Annex 8D of the ECE R100 regulation. In this study, the safe displacement at which the battery will not deform is set as 20 mm, and the maximum force and energy absorption at this displacement are compared. In total, 33 different electric and hybrid vehicle models were benchmarked in this study. L-shaped geometry and aluminum materials are generally preferred; this study focuses on using glass-fiber-reinforced polymer (GFRP) pultruded profiles to make batteries more durable and lighter. The GF800 material was selected for its superior mechanical strength among glass fiber composites. A virtual tensile test verified its properties. A unique hybrid model combining honeycomb and auxetic geometries was developed, showing a crash performance improvement of ~360% over honeycomb structures and ~88% over auxetic structures. Through multi-objective optimization using artificial neural networks (ANNs), 27 models were analyzed, leading to an optimized design. The final design resulted in the battery box side profile being 23.9% lighter and 38.6% cheaper, and exhibiting a performance 3% higher. This study demonstrates significant advancements in EV safety and cost efficiency, highlighting the practical benefits of innovative material and design approaches. Full article
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<p>Test coupon and orientations.</p>
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<p>L-shaped structure observed in benchmark studies.</p>
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<p>Current model designed on the basis of benchmarks.</p>
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<p>Technical drawing of the hybrid model with design variables.</p>
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<p>Deformation of 2D lattice structures under compression: (<b>a</b>) honeycomb, (<b>b</b>) auxetic, and (<b>c</b>) hybrid structures.</p>
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<p>Model creation method for 3 different cases.</p>
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<p>Sections of 27 cases generated with parameters.</p>
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<p>Battery box views and FEA scenario.</p>
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<p>Flowchart of optimization.</p>
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<p>ANN.</p>
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<p>The optimum model is designed as per iteration 32.</p>
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<p>FEA of the optimum model.</p>
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<p>Schematic representation of the matrix–fiber ratio.</p>
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<p>Force–displacement curves of the current model and optimum model.</p>
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<p>Analysis results for case 4.</p>
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<p>Force–displacement curves of cases 1–9 and the optimized model.</p>
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<p>Force–displacement curves of cases 10–18 and the optimized model.</p>
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<p>Force–displacement curves of cases 19–27 and the optimized model.</p>
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<p>Sensitivity matrix.</p>
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<p>Regression plots of (<b>a</b>) mass (kg), (<b>b</b>) force (kN), and (<b>c</b>) absorbed energy (kJ).</p>
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<p>Three objective Pareto front curves with normalized data.</p>
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<p>Multiple regression plots obtained from ANN: (<b>a</b>) training, (<b>b</b>) test, and (<b>c</b>) all.</p>
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22 pages, 4206 KiB  
Article
Methodologies for Agricultural Gypsum Application Recommendations in No-Tillage Systems on Tropical Sandy Soils
by Isabela Malaquias Dalto de Souza, Wander Luis Barbosa Borges, Pedro Henrique Gatto Juliano, Viviane Cristina Modesto, Vitória Almeida Moreira Girardi, Nelson Câmara de Souza Júnior, Naiane Antunes Alves Ribeiro, Aline Marchetti Silva Matos, Fernando Shintate Galindo and Marcelo Andreotti
Agronomy 2025, 15(2), 416; https://doi.org/10.3390/agronomy15020416 - 7 Feb 2025
Viewed by 507
Abstract
This study aimed to evaluate which of five commonly used methodologies for agricultural gypsum application in no-tillage systems under tropical agricultural conditions is the most efficient in sandy soils. The evaluation focused on soil chemical and physical properties, nutrient movement through the soil [...] Read more.
This study aimed to evaluate which of five commonly used methodologies for agricultural gypsum application in no-tillage systems under tropical agricultural conditions is the most efficient in sandy soils. The evaluation focused on soil chemical and physical properties, nutrient movement through the soil profile, and crop productivity. Methods: Soil layers of 0–0.20 m and 0.20–0.40 m were analyzed. Data were subjected to analysis of variance, and means were compared using Student’s t-test (p < 0.05). Principal component analysis (PCA) and multivariate analysis were also performed. Results: An increase in calcium (Ca), potassium (K), and sulfur (S) contents was observed at the analyzed soil depths, along with a reduction in subsurface aluminum saturation (m%). Gypsum application also increased the dry matter yield of cover crops. Conclusions: For sandy soils under no-tillage systems with high nutrient export, aiming to improve soil fertility and aggregation, the gypsum application methodologies proposed by Caires and Guimarães or Raij and collaborators are recommended. According to multivariate analysis, these methodologies showed the best correlation with base saturation (V%), a key indicator of soil fertility. Additionally, the Caires and Guimarães method demonstrated a stronger correlation with maize productivity. However, none of the evaluated methodologies increased soybean yields. Full article
(This article belongs to the Special Issue Tillage Systems and Fertilizer Application on Soil Health)
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<p>Map of the experimental location.</p>
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<p>Accumulated precipitation and average monthly temperature data during the course of the experiment.</p>
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<p>Experimental setup.</p>
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<p>Biplot to principal component analysis (PCA) of soil chemical attributes at depths of 0 to 0.20 m (<b>a</b>) and 0.20 to 0.40 m (<b>b</b>), and maize productivity in the 2017/2018 cropping season under no-tillage system. Phosphorus (P); organic matter (OM); potassium (K); calcium (Ca); magnesium (Mg); hydrogen + aluminum (H + Al); aluminum (Al); sulfur (S); cation exchange capacity (CEC); base saturation (V%); aluminum saturation (m%); crop productivity (PROD).</p>
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<p>Biplot to principal component analysis (PCA) of soil chemical attributes at depths of 0 to 0.20 m (<b>a</b>) and 0.20 to 0.40 m (<b>b</b>), and maize productivity and forage dry matter in the 2019/2020 cropping season under no-tillage system. Phosphorus (P); organic matter (OM); potassium (K); calcium (Ca); magnesium (Mg); hydrogen + aluminum (H + Al); aluminum (Al); sulfur (S); cation exchange capacity (CEC); base saturation (V%); aluminum saturation (m%); maize productivity (PRODM); forage productivity (PRODF).</p>
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<p>Biplot to principal component analysis (PCA) of soil physical and chemical attributes at depths of 0 to 0.20 m (<b>a</b>) and 0.20 to 0.40 m (<b>b</b>), as well as maize productivity and forage dry matter in the 2019/2020 crop season. Total porosity (TP); soil density (SD); weighted average diameter (WAD); aggregates larger than 2 mm (AG &gt; 2); organic matter (OM); calcium (Ca); maize productivity (PRODM); forage productivity (PRODF).</p>
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13 pages, 3076 KiB  
Article
Comprehensive Nutrient Profiling and Untargeted Metabolomic Assessment of Siraitia grosvenorii from Different Regions and Varying Degrees of Processing
by Yuqiang Liu, Weiqian Yu, Mengfei Bi, Yuting Zhang, Yuan Guan and Tiemin Jiang
Appl. Sci. 2025, 15(3), 1020; https://doi.org/10.3390/app15031020 - 21 Jan 2025
Viewed by 467
Abstract
The primary objective of this study was to compare the nutrition and metabolite profiles of Siraitia grosvenorii from different regions (namely Yongfu and Longsheng) and processing stages. Our findings showed that fresh Siraitia grosvenorii from Longsheng contained higher levels of total sugars, protein, [...] Read more.
The primary objective of this study was to compare the nutrition and metabolite profiles of Siraitia grosvenorii from different regions (namely Yongfu and Longsheng) and processing stages. Our findings showed that fresh Siraitia grosvenorii from Longsheng contained higher levels of total sugars, protein, and crude fat compared with those from Yongfu, though both regions had similar dietary fiber and ash content. Dried Yongfu Siraitia grosvenorii showed increased nutrient levels. A mineral analysis revealed that fresh Siraitia grosvenorii from Yongfu had the highest levels of calcium, magnesium, and potassium along with distinct differences in other mineral concentrations compared with Longsheng. Notably, fresh Yongfu fruits had higher mineral content than dried ones, except for aluminum and selenium. Through an untargeted metabolomics analysis, we identified 470 metabolites, showing significant variation between fresh samples from Yongfu and Longsheng and between fresh and dried Yongfu samples. Key metabolites included carboxylic acids, fatty acyls, and organooxygen compounds. Additionally, we observed significant enrichment in metabolic pathways such as phenylpropanoid biosynthesis, galactose metabolism, and linoleic acid metabolism, with notable differences in metabolite regulation depending on the region and processing stage. These findings highlight the influence of regional environmental factors and drying processes on the nutrient and metabolite composition of Siraitia grosvenorii. Full article
(This article belongs to the Special Issue New Trends in the Structure Characterization of Food)
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<p>The OPLS-DA models for the data from the positive and negative ionization modes. (<b>A</b>–<b>D</b>) Permutation plots. (<b>E</b>–<b>H</b>) Score plots.</p>
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<p>Differential metabolites statistics histogram (VIP ≥ 1 and <span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Clustering heatmap of differential metabolites. The columns represent samples and the rows represent metabolites. The gradient color is used to represent the magnitude of the quantitative values. The redder the color, the higher the expression level, and the bluer the color, the lower the expression level.</p>
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<p>Metabolic pathway influence factor bubble chart. The abscissa represents the impact values enriched in different metabolic pathways, while the ordinate represents the enrichment pathways. The size of the dots indicates the number of corresponding metabolites in the pathway. The color is related to the <span class="html-italic">p</span>-value. The redder the color, the smaller the <span class="html-italic">p</span>-value, and the bluer the color, the larger the <span class="html-italic">p</span>-value.</p>
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23 pages, 2942 KiB  
Article
Bone Marrow Stromal Cells Generate a Pro-Healing Inflammasome When Cultured on Titanium–Aluminum–Vanadium Surfaces with Microscale/Nanoscale Structural Features
by David J. Cohen, Christine M. Van Duyn, Jingyao Deng, Musaddiq K. Lodi, Michelle B. Gallagher, James T. Sugar, Jeremy J. Rawlinson, Preetam Ghosh, Barbara D. Boyan and Zvi Schwartz
Biomimetics 2025, 10(1), 66; https://doi.org/10.3390/biomimetics10010066 - 19 Jan 2025
Viewed by 1018
Abstract
The surface topography and chemistry of titanium–aluminum–vanadium (Ti6Al4V) implants play critical roles in the osteoblast differentiation of human bone marrow stromal cells (MSCs) and the creation of an osteogenic microenvironment. To assess the effects of a microscale/nanoscale (MN) topography, this study compared the [...] Read more.
The surface topography and chemistry of titanium–aluminum–vanadium (Ti6Al4V) implants play critical roles in the osteoblast differentiation of human bone marrow stromal cells (MSCs) and the creation of an osteogenic microenvironment. To assess the effects of a microscale/nanoscale (MN) topography, this study compared the effects of MN-modified, anodized, and smooth Ti6Al4V surfaces on MSC response, and for the first time, directly contrasted MN-induced osteoblast differentiation with culture on tissue culture polystyrene (TCPS) in osteogenic medium (OM). Surface characterization revealed distinct differences in microroughness, composition, and topography among the Ti6Al4V substrates. MSCs on MN surfaces exhibited enhanced osteoblastic differentiation, evidenced by increased expression of RUNX2, SP7, BGLAP, BMP2, and BMPR1A (fold increases: 3.2, 1.8, 1.4, 1.3, and 1.2). The MN surface also induced a pro-healing inflammasome with upregulation of anti-inflammatory mediators (170–200% increase) and downregulation of pro-inflammatory factors (40–82% reduction). Integrin expression shifted towards osteoblast-associated integrins on MN surfaces. RNA-seq analysis revealed distinct gene expression profiles between MSCs on MN surfaces and those in OM, with only 199 shared genes out of over 1000 differentially expressed genes. Pathway analysis showed that MN surfaces promoted bone formation, maturation, and remodeling through non-canonical Wnt signaling, while OM stimulated endochondral bone development and mineralization via canonical Wnt3a signaling. These findings highlight the importance of Ti6Al4V surface properties in directing MSC differentiation and indicate that MN-modified surfaces act via signaling pathways that differ from OM culture methods, more accurately mimicking peri-implant osteogenesis in vivo. Full article
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<p>Optical profilometry measurements of surface micro-roughness of smooth machined (SM), anodized (AN), and micro/nano-rough (MN) Ti6Al4V surfaces: average peak-to-valley distance (<b>A</b>), skewness (<b>B</b>), microroughness (<b>C</b>), and kurtosis (<b>D</b>). Data are means ± SEM and were evaluated using analysis of variance (ANOVA) with Tukey post hoc test. Statistical significance was established at <span class="html-italic">p</span>-values equal to or less than 0.05 (*** <span class="html-italic">p</span> &lt; 0.001; **** <span class="html-italic">p</span> &lt; 0.0001).</p>
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<p>Implant surface characterization of smooth machined (SM), anodized (AN), and micro/nano-rough (MN) Ti6Al4V surfaces: (<b>A</b>) X-ray photoelectron spectroscopy (XPS) was used to determine elemental composition, shown as mean atomic percentage (%) of carbon (<b>C</b>), oxygen (O), titanium (Ti), aluminum (Al), and vanadium (V). (<b>B</b>) Surface wettability was quantified through sessile drop contact angle measurements performed on each surface. (<b>C</b>) Semi-quantitative energy-dispersive X-ray spectroscopy (EDX) analysis of surface elemental composition was obtained from ion-milled cross-sections of each surface, shown as mean atomic percentage (%) of titanium (Ti), aluminum (Al), and vanadium (V). (<b>D</b>) X-ray diffraction (XRD) profiles were used to determine distribution of α-Ti and β-Ti phases for each surface material, with circles depicting α-Ti, whereas triangles distinguish β-Ti phase based on elemental reference standards for EDX. Data are presented as mean + SEM and were evaluated using analysis of variance (ANOVA) with Tukey post hoc test. Statistical significance was established at <span class="html-italic">p</span>-values equal to or less than 0.05 (*** <span class="html-italic">p</span> &lt; 0.001; **** <span class="html-italic">p</span> &lt; 0.0001).</p>
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<p>Characterization of surface topography using scanning electron microscopy (SEM). SEM micrographs/images of smooth, anodized, and micro/nano-rough (MN) Ti6Al4V surfaces were captured at macroscale (35×), microscale (1000×), mesoscale (10,000×), and nanoscale (100,000×) resolutions. Macro/micro/meso/nanoscale images have scale bars of 1 mm, 50 μm, 5 μm, and 500 nm, respectively.</p>
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<p>Relative expression of osteogenesis-related genes in human BMSCs cultured for 14 days on TCPS, smooth, anodized, or micro/nano-rough (MN) surfaces via RT-qPCR. Genes were normalized to GAPDH, and their relative expression compared to TCPS, determined using the 2<sup>−ΔΔCT</sup> method. Values presented are mean ± SE of twelve independent cultures per surface, pooled in duplicate with <span class="html-italic">n</span> of 6 per group. Groups were evaluated using analysis of variance (ANOVA) with Tukey post hoc test. Statistical significance was established at <span class="html-italic">p</span>-values equal to or less than 0.05 (* <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001; **** <span class="html-italic">p</span> &lt; 0.0001).</p>
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<p>Relative expression of anti-/pro-inflammatory genes in human BMSCs cultured for 14 days on TCPS, smooth, anodized, or micro/nano-rough (MN) surfaces via RT-qPCR. Genes related to innate and adaptive immune mechanisms related to inflammation, including genes that encode for cytokines/chemokines and inflammasome components with anti-inflammatory (top) and pro-inflammatory (bottom) effects, were analyzed. Fold changes to TCPS were normalized to GAPDH and relative expression determined using 2<sup>−ΔΔCT</sup> method. Values are presented as mean ± SE of twelve independent cultures per surface, pooled in duplicate with <span class="html-italic">n</span> of 6 per group. Groups were evaluated using analysis of variance (ANOVA) with Tukey post hoc test. Statistical significance was established at <span class="html-italic">p</span>-values equal to or less than 0.05 (* <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001).</p>
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<p>Relative expression of extracellular matrix (ECM)-related genes related to integrin binding and cell adhesion in human BMSCs. Cells were cultured for 14 days on TCPS, smooth, anodized, or micro-/nano-rough (MN) surfaces via RT-qPCR. Representative genes related to integrin binding are on top, and components of ECM are shown in bottom row. Fold changes to TCPS were normalized to GAPDH and relative expression determined using 2<sup>−ΔΔCT</sup> method. Values are presented as mean ± SE of twelve independent cultures per surface, pooled in duplicate with <span class="html-italic">n</span> of 6 per group. Groups were evaluated using analysis of variance (ANOVA) with Tukey post hoc test. Statistical significance was established at <span class="html-italic">p</span>-values equal to or less than 0.05 (* <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001; **** <span class="html-italic">p</span> &lt; 0.0001).</p>
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<p>Comparison of 12,000 differentially expressed genes (DEGs) of human BMSCs grown in osteogenic media (OM), compared with BMSCs cultured on micro/nano-rough (MN) surfaces or TCPS in standard growth media: (<b>A</b>) Heatmap of sample z-scores clustered using Euclidean distance measurement. Red and green in heat map denote upregulated and downregulated genes, respectively, while gray denotes no significant difference between groups. (<b>B</b>) Principal component analysis (PCA) plot generated from 12,000 differentially expressed genes in hBMSCs grown for 14 days on TCPS in OM, TCPS in growth media, or MN surfaces in growth media, as determined by RNA-seq. Results from two independent experiments are shown.</p>
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<p>Comparison of 12,000 differentially expressed of genes (DEGs) of human BMSCs grown on TCPS in osteogenic media (OM), or BMSCs cultured on micro/nano-rough (MN) surfaces in growth media, compared to cells on TCPS in growth media. (<b>A</b>) Venn diagram displaying overlap of differentially expressed genes, showing overlap between OM and MN cultures. (<b>B</b>) Volcano plot of MN vs. TCPS genes with Log2 fold change greater than 2 and adjusted <span class="html-italic">p</span>-value less than 0.05. (<b>C</b>) Volcano plot of OM vs. TCPS genes with Log2 fold change greater than 2 and adjusted <span class="html-italic">p</span>-value less than 0.05. Red and blue denote upregulated and downregulated genes, respectively, while gray denotes no significant difference between groups.</p>
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<p>Functional enrichment analysis of genes expressed by BMSCs grown on TCPS in growth media (TCPS), TCPS in osteogenic media (OM), and micro/nano-rough Ti6Al4V in growth media (MN). The enriched pathways were visualized using a barplot for each pairwise comparison of treatments: (<b>A</b>) MN vs. TCPS, (<b>B</b>) OM vs. TCPS, and (<b>C</b>) MN vs. OM. (<b>D</b>) The Venn diagrams were created by determining the overlapping pathways between OM vs. TCPS and MN vs. TCPS.</p>
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11 pages, 12673 KiB  
Article
Effect of Tool Shoulder Profile on Grain and Texture Development in the Weld Interface Zone of Friction-Stir-Welded Dissimilar AA2024/AA7075 Joints
by Qi Li, Chenghang Zhang, Jianhong Sun and Haoge Shou
Materials 2025, 18(2), 340; https://doi.org/10.3390/ma18020340 - 14 Jan 2025
Viewed by 444
Abstract
Friction-stir-welded dissimilar AA2024/AA7075 joints have an apparent influence on grain and texture development at the weld interface due to differences in physical and chemical properties between the two aluminum alloys. In this work, the effect of tool shoulder profile on grain structure and [...] Read more.
Friction-stir-welded dissimilar AA2024/AA7075 joints have an apparent influence on grain and texture development at the weld interface due to differences in physical and chemical properties between the two aluminum alloys. In this work, the effect of tool shoulder profile on grain structure and texture evolution in the center interface zone (CIZ) and bottom interface zone (BIZ) of dissimilar AA2024/AA7075 joints were quantitatively studied by electron back-scattering diffraction (EBSD). The results indicate that abundant fine and coarse equiaxial grains are produced in the CIZ and BIZ of the joints produced with a concentric circle shoulder (CCS) and three-helix shoulder (THS), and the average grain size of the BIZ is lower than that of the CIZ for the same CCS or THS joint. A higher degree of recrystallization occurs in the CIZ of the joint with a CCS than that of the joint with a THS, while a similar degree of recrystallization is presented in the BIZ of the two joints. For the distribution of local misorientation angle between the two sides of the interface in the same CCS or THS joint, the CIZ manifests relatively uniform behavior, while the BIZ presents the characteristics of uneven distribution. Tool shoulder profile has a significant impact on the texture components at the weld interface, which results in different types of shear textures generated in the CIZ and BIZ of the two joints. It is beneficial to make out the microstructural evolution mechanism at the weld interface in dissimilar FSW joints for engineering applications in this study. Full article
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<p>Cross-section appearances of dissimilar AA2024/AA7075 FSW joints: (<b>a</b>) CCS joint; (<b>b</b>) THS joint.</p>
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<p>Euler angle diagrams (Euler angles 1, 2 and 3 represent the angle (<sup>o</sup>) of rotation around ND, WD and TD, respectively) in the welded zone: (<b>a</b>) CCS-CIZ; (<b>b</b>) THS-CIZ; (<b>c</b>) CCS-BIZ; (<b>d</b>) THS-BIZ.</p>
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<p>Analysis maps of the grain recrystallization degree in the welded zone: (<b>a</b>) CCS-CIZ; (<b>b</b>) THS-CIZ; (<b>c</b>) CCS-BIZ; (<b>d</b>) THS-BIZ.</p>
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<p>Statistical results of the grain recrystallization degree in the welded zone of the dissimilar joints shown in <a href="#materials-18-00340-f003" class="html-fig">Figure 3</a>.</p>
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<p>Distribution images of local misorientation in the welded zone: (<b>a</b>) CCS-CIZ; (<b>b</b>) THS-CIZ; (<b>c</b>) CCS-BIZ; (<b>d</b>) THS-BIZ.</p>
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<p>Statistical results of local misorientation in the welded zone shown in <a href="#materials-18-00340-f005" class="html-fig">Figure 5</a>: (<b>a</b>) CIZ; (<b>b</b>) BIZ (relative frequency is described as the occurrence frequency of a local misorientation within the set local misorientation range).</p>
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<p>Distribution images of shear texture components in the welded zone: (<b>a</b>) CCS-CIZ; (<b>b</b>) THS-CIZ; (<b>c</b>) CCS-BIZ; (<b>d</b>) THS-BIZ.</p>
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<p>Statistical results of shear textures in the welded zone of the dissimilar joints shown in <a href="#materials-18-00340-f007" class="html-fig">Figure 7</a>.</p>
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20 pages, 2844 KiB  
Article
Rheology and Stability of Hydrocarbon-Based Gelled Fuels for Airbreathing Applications
by Simone Dell’Acqua, Francesco Morando, Stefania Carlotti and Filippo Maggi
Aerospace 2025, 12(1), 49; https://doi.org/10.3390/aerospace12010049 - 13 Jan 2025
Viewed by 733
Abstract
Gelled fuels are rheologically complex, non-Newtonian fluids. They combine the benefits of both liquid and solid states, reducing risks of leakage, spilling, and sloshing during storage while maintaining the ability to be sprayed inside a combustion chamber. Additionally, suspending energetic particles, such as [...] Read more.
Gelled fuels are rheologically complex, non-Newtonian fluids. They combine the benefits of both liquid and solid states, reducing risks of leakage, spilling, and sloshing during storage while maintaining the ability to be sprayed inside a combustion chamber. Additionally, suspending energetic particles, such as metal powders of aluminum and boron, can significantly enhance their energy density compared to conventional liquid fuels. In this study, several kerosene-based and ethanol-based formulations were experimentally investigated, using both organic and inorganic gelling agents. The compositions were optimized in terms of the gellant amount and manufacturing process. Some of the most promising gellants for kerosene include fatty acids, such as Thixcin® R or THIXATROL® ST, and metallic soaps, such as aluminum stearate and zinc stearate. The effects of various co-solvents were assessed, including ketones (methyl isoamyl ketone, methyl ethyl ketone, and acetone) and alcohols (ethanol and octadecanol). Sugar polymers like hydroxypropyl cellulose were tested as gelling agents for ethanol. A preliminary rheological analysis was conducted to characterize their behavior at rest and under shear stress. Finally, a novel approach was introduced to study the stability of the gels under vibration, which was derived from a realistic mission profile of a ramjet. Finally, the ideal gravimetric specific impulse was evaluated through ideal thermochemical computations. The results showed that promising formulations can be found in both kerosene-based and ethanol-based gels. Such compositions are of interest in practical airbreathing applications as they have demonstrated excellent stability under vibration, ideal combustion properties, and pronounced shear-thinning behavior. Full article
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<p>Conceptual scheme of the experimental setup implemented for the vibration assessment of gelled fuels.</p>
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<p>Picture of the experimental setup for the vibration tests. The power amplifier is not shown in the figure.</p>
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<p>Qualitative representation of gel liquefaction behavior under vibration, describing the best (<b>a</b>) and worst (<b>b</b>) performances. Grade A2 is associated with an intermediate performance.</p>
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<p>Kerosene–aluminum stearate gels, highlighting the appearance in different preparation phases. Immediately after the original preparation (<b>a</b>); after a few hours (<b>b</b>); after the second mixing (<b>c</b>).</p>
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<p>Thermogravimetry analysis results for the most promising gels (<b>a</b>) and for gel components (<b>b</b>).</p>
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<p>Frequency-sweep dynamic measurements for different strain percentages.</p>
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<p>Dynamic strain–sweep analysis outcomes. (<b>a</b>) Storage modulus–shear stress curves, from which the yield stress <math display="inline"><semantics> <msub> <mi>τ</mi> <mrow> <mi>y</mi> <mi>i</mi> <mi>e</mi> <mi>l</mi> <mi>d</mi> </mrow> </msub> </semantics></math> can be derived; (<b>b</b>) storage modulus (black) and loss modulus (gray) profiles, identifying the flow point <math display="inline"><semantics> <msub> <mi>γ</mi> <mrow> <mi>f</mi> <mi>l</mi> <mi>o</mi> <mi>w</mi> </mrow> </msub> </semantics></math>.</p>
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<p>Rheological measurements from steady tests represented in logarithmic axes.</p>
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<p>Gravimetric specific impulse for gelled propellants and pure liquid fuels as a function of the air-to-fuel mass ratio.</p>
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16 pages, 3333 KiB  
Article
Evaluation of Alpaca Yarns Dyed with Buddleja Coriaceous Dye and Metallic Mordants
by Arturo Quispe-Quispe, Franklin Lozano, Luz María Pinche-Gonzales and Fulgencio Vilcanqui-Perez
Fibers 2025, 13(1), 2; https://doi.org/10.3390/fib13010002 - 28 Dec 2024
Viewed by 813
Abstract
The objective of this research was to evaluate the effect of dye obtained from Buddleja coriacea and metallic mordants on the chromatic properties, textile characteristics, spectral profiles, and color stability in alpaca fibers. The dye extraction technique involved boiling in an aqueous solution, [...] Read more.
The objective of this research was to evaluate the effect of dye obtained from Buddleja coriacea and metallic mordants on the chromatic properties, textile characteristics, spectral profiles, and color stability in alpaca fibers. The dye extraction technique involved boiling in an aqueous solution, followed by filtration. Subsequently, alpaca yarns were dyed using the resulting extract following a standard protocol. The applied mordants included sodium sulfate (Na2SO4), aluminum sulfate and potassium dodecahydrate (KAl(SO4)2·12H2O), and oxalic acid (C2H2O4). Spectroscopy UV-Vis and FTIR spectrophotometry methods were used for the characterization of the dyed samples and analysis of the dye during the dyeing process. The findings revealed the formation of four distinct color tones. Additionally, it was determined that the mordants influenced the chromatic properties of the fibers dyed with Buddleja coriacea extract without modifying their textile characteristics. The identified spectral bands corresponded to keratin, the structural protein of the fibers. Changes in the intensity of these spectral bands were observed in the dyed samples, attributable to the presence of different mordants. Wet rub fastness was found to be inferior to dry rub fastness, which has implications for textile maintenance. In conclusion, Buddleja coriacea flowers provide an effective yellow dye, and when combined with various mordants, they allow for a variety of shades and hues in alpaca fiber yarns. Full article
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<p>Dyeing process diagram of alpaca fiber with Buddleja coriácea dye.</p>
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<p>Dyeing procedure for alpaca fiber threads using <span class="html-italic">Buddleja coriacea</span> flower extract and mordants. 1, <span class="html-italic">Buddleja coriacea</span> tree; 2, <span class="html-italic">Buddleja coriacea</span> flowers; 3, drying of flowers in a forced air circulation oven; 4, extraction of natural dye from the flowers; 5, alpaca fiber threads; 6, metallic mordants; 7, alpaca fiber thread dyed with <span class="html-italic">Buddleja coriacea</span> flowers and mordants. T1, white fiber; T2, dyed with <span class="html-italic">Buddleja coriacea</span>; T3, <span class="html-italic">Buddleja coriacea</span> + KAl(SO<sub>4</sub>)<sub>2</sub>·12H<sub>2</sub>O; T4, <span class="html-italic">Buddleja coriacea</span> + C<sub>2</sub>H<sub>2</sub>O; T5, <span class="html-italic">Buddleja coriacea</span> + Na<sub>2</sub>SO<sub>4</sub>.</p>
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<p>FTIR analysis of <span class="html-italic">Buddleja coriacea</span> flower extract.</p>
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<p>Colorimetry parameters after treatment.</p>
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<p>Reflectance spectrum R (%) of alpaca fiber dyed with <span class="html-italic">Buddleja coriacea</span> flower extract and mordants.</p>
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<p>Change in colorimetry parameters due to treatment.</p>
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<p>FTIR analysis of alpaca fiber dyed with <span class="html-italic">Buddleja coriacea</span> flower extract and mordants.</p>
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17 pages, 3059 KiB  
Article
Can Aluminum Affect Social Behavior and Cortisol Plasma Profile in the Neotropical Freshwater Teleost Astyanax lacustris (Teleostei: Characidae)?
by Natália Pires Vieira Morais de Faria, Bruno Cavalheiro Araújo, Bianca Mayumi Silva Kida, Raisa Pereira Abdalla, Diego dos Santos Brito, Renata Guimarães Moreira and Renato Massaaki Honji
Life 2024, 14(12), 1697; https://doi.org/10.3390/life14121697 - 21 Dec 2024
Viewed by 734
Abstract
Aluminum (Al) can cause endocrine disruption in aquatic animals, but assessments of animal social behavior in neotropical teleost fish species with importance for Brazilian aquaculture have still not been addressed so far, which can further complete this ecotoxicological knowledge. In order to evaluate [...] Read more.
Aluminum (Al) can cause endocrine disruption in aquatic animals, but assessments of animal social behavior in neotropical teleost fish species with importance for Brazilian aquaculture have still not been addressed so far, which can further complete this ecotoxicological knowledge. In order to evaluate the social behavior and plasma cortisol concentration of fish exposed to Al, we performed a 1 h acute exposure with Astyanax lacustris couples in three different experimental groups: control in neutral pH (CTL/n group), acid pH (pH/ac group), and aluminum in acid pH (Al/ac group; 2.0 mg L−1). An ethogram of social interactions between males and females and swimming activities were performed. Furthermore, the cortisol plasma concentration was measured by enzyme-linked immunosorbent, and the gonadal maturation stage of the animals was evaluated by histology. Adult and mature females in the CTL/n and pH/ac groups were more aggressive and active than mature males, including several attacks on the male. Moreover, males did not present attack behavior in these groups at any time, but did show submission behavior and constant avoidance of female attacks. In the Al/ac, females did not attack males, couple decreased swimming activity, a repetitive movement toward the aquarium surface, and high mucus production were observed, making the water cloudy. Regarding cortisol plasma concentration, males had higher cortisol plasma concentrations than females in the CTL/n and pH/ac groups, which was not observed in the Al/ac group. Therefore, Al in addition to being described in the literature as an endocrine disruptor, it can be considered as behavioral disrupter in A. lacustris in this important freshwater species cultivated in South America. Full article
(This article belongs to the Special Issue Ecotoxicity Effects of Metals and Microplastics on Aquatic Organisms)
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Graphical abstract

Graphical abstract
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<p>Schematic representation of the experimental design. Exposure of couples (male (blue fish) and female (red fish); <span class="html-italic">n</span> = 2) (in triplicate; <span class="html-italic">n</span> = 6) of <span class="html-italic">Astyanax lacustris</span> in different experimental groups and digitally recorded (1 h): control (CTL/n group) in neutral pH; acid pH (pH/ac group); and aluminum (Al/ac group) in acid pH.</p>
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<p>Histological sections of <span class="html-italic">Astyanax lacustris</span> gonads. (<b>a</b>) mature female showing vitellogenic oocytes (arrow) and perinucleolar oocytes (arrowhead); (<b>b</b>) mature male showing several ducts full of sperm (asterisk). Stain: Schiff periodic acid (PAS)/iron-hematoxylin/metanil yellow. Bar: (<b>a</b>) 200 μm; (<b>b</b>) 100 μm.</p>
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<p>Evaluating the aggressiveness in <span class="html-italic">Astyanax lacustris</span>: (<b>a</b>) behavioral analysis of a couple in the experimental aquarium (60 L); (<b>b</b>) behaviors observed in <span class="html-italic">A. lacustris</span> (a couple, with a more aggressive female and bigger than the male) in experimental aquariums; the last gray box represents the aquarium with aluminum and “cloudy water”, and its main behaviors. For more information, see the text.</p>
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<p>General social behavior of <span class="html-italic">Astyanax lacustris</span> females and males in different experimental groups: control (CTL/n) in neutral pH; aluminum in acid pH (Al/ac); acid pH (pH/ac). Number (based on 10 min) of bites, chases with bites, chases without bites, and approaches. Data are presented as the mean ± standard error of the mean (M ± SEM). # indicates no behavior in this group.</p>
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<p>Social behavior of <span class="html-italic">Astyanax lacustris</span> females. Number (based on 10 min) of attacks and movements (right/left; bottom/front; superior/inferior) in different experimental groups: control (CTL/n) in neutral pH; aluminum in acid pH (Al/ac); acid pH (pH/ac). *, **, *** Asterisk indicates a statistical difference between experimental groups (right/left: CTL/n (<span class="html-italic">p</span> &lt; 0.006) and pH/ac (<span class="html-italic">p</span> &lt; 0.004) groups compared with Al/ac group; bottom/front: CTL/n compared with pH/ac (<span class="html-italic">p</span> &lt; 0.022); CTL/n compared with Al/ac (<span class="html-italic">p</span> &lt; 0.001); pH/ac compared with Al/ac (<span class="html-italic">p</span> &lt; 0.025)); # indicates no behavior in this group. Data that were not statistically significant <span class="html-italic">p</span> &gt; 0.05.</p>
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<p>Plasma cortisol concentration in <span class="html-italic">Astyanax lacustris</span> female (F) and male (M) in different groups: CTL/n (control group in neutral pH); Al/ac (aluminum group in acid pH); pH/ac (acid pH group). Data are presented as the mean ± standard error of the mean (M ± SEM). <sup>A,B,C,a,b</sup> Different uppercase letters indicate differences between females and males in different groups (males in CTL/n (<span class="html-italic">p</span> &lt; 0.011) and pH/ac (<span class="html-italic">p</span> &lt; 0.001) groups compared with Al/ac group; pH/ac (<span class="html-italic">p</span> &lt; 0.038) compared with CTL/n group), and lowercase letters indicate differences between females and males in the same group (CTL/n (<span class="html-italic">p</span> &lt; 0.001) and pH/ac (<span class="html-italic">p</span> = 0.004) groups compared with Al/ac group). Data that were not statistically significant <span class="html-italic">p</span> &gt; 0.05.</p>
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