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Search Results (2,663)

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20 pages, 6685 KiB  
Article
Changes in the Properties of Different Zones in Multilayered Translucent Zirconia Used in Monolithic Restorations During Aging Process
by Phil-Joon Koo, Jong-Hyuk Lee, Seung-Ryong Ha, Deog-Gyu Seo, Jin-Soo Ahn and Yu-Sung Choi
J. Funct. Biomater. 2025, 16(3), 96; https://doi.org/10.3390/jfb16030096 (registering DOI) - 10 Mar 2025
Abstract
This study assessed the changes in the mechanical and surface properties of the transition zone in multilayered translucent monolithic zirconia subjected to long-term hydrothermal aging. A total of 360 disk-shaped specimens (diameter: 15.0 mm; thickness: 1.2 mm) were prepared using conventional (3Y-TZP in [...] Read more.
This study assessed the changes in the mechanical and surface properties of the transition zone in multilayered translucent monolithic zirconia subjected to long-term hydrothermal aging. A total of 360 disk-shaped specimens (diameter: 15.0 mm; thickness: 1.2 mm) were prepared using conventional (3Y-TZP in LT; ZL, 4Y-TZP in MT; ZM) and multilayered translucent zirconia (5Y-TZP in MT Multi; ZT, 3Y/5Y-TZP in Prime; ZP) among IPS e.max ZirCAD blocks. Specimens were divided into three groups (n = 30) and aged in the autoclave at 134 °C under 0.2 MPa for 0 h (control group), 5 h (first aged group), and 10 h (second aged group). The mechanical and surface properties of the transition zone in the multilayered translucent zirconia were investigated, followed by statistical analysis (α = 0.05). Before and after aging, ZL (1102.64 ± 41.37 MPa) and ZP (1014.71 ± 139.86 MPa) showed the highest biaxial flexural strength (BFS); ZL showed the highest Weibull modulus (31.46) and characteristic strength (1121.63 MPa); and ZT exhibited the highest nanoindentation hardness (20.40 ± 1.80 GPa) and Young’s modulus (284.90 ± 20.07 GPa). After aging, ZL (116.75 ± 9.80 nm) exhibited the highest surface roughness (Ra); the monoclinic phase contents in ZL and ZP increased; and surface uplifts, microcracks, and irregular defects caused by phase transformation appeared on ZL and ZP surfaces. The 3Y/5Y-TZP transition zone exhibited flexural strength, Vickers hardness, phase distribution changes, and surface microstructure changes similar to those of 3Y-TZP before and after aging; however, the surface roughness was lower than that of 3Y-TZP and higher than those of 4Y-TZP and 5Y-TZP after aging. The mechanical and surface characteristics, excluding BFS and Vickers hardness, were influenced by the yttrium oxide content in each zone and the aging process. Full article
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<p>Mean ± standard deviation values and statistical analysis of biaxial flexural strength. * denotes a significant difference at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Probability plot for Weibull analysis for all the groups.</p>
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<p>Mean ± standard deviation values and statistical analysis of nanoindentation hardness. * denotes a significant difference at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Mean ± standard deviation values and statistical analysis of Young’s modulus. * denotes a significant difference at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Mean ± standard deviation values and statistical analysis of Vickers hardness. * denotes a significant difference at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Representative CLSM images of all the groups.</p>
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<p>Mean ± standard deviation values and statistical analysis of surface roughness of all specimens in the groups. (<b>A</b>) <span class="html-italic">Ra</span>; (<b>B</b>) <span class="html-italic">Rq</span>. *denotes a significant difference at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Phase transformation analyses in accordance with aging time. (<b>A</b>) Representative XRD patterns; (<b>B</b>) monoclinic volume fraction (<span class="html-italic">F<sub>m</sub></span>).</p>
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<p>FE-SEM images showing the surface topography of all the specimens in the groups. The white arrows indicate irregular defects, microcracks, and surface uplifts after aging.</p>
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<p>Elemental analysis. (<b>A</b>) Zirconium; (<b>B</b>) oxygen; (<b>C</b>) yttrium; (<b>D</b>) hafnium; and (<b>E</b>) aluminum. * denotes a significant difference at <span class="html-italic">p</span> &lt; 0.05.</p>
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40 pages, 6428 KiB  
Review
Greener Pectin Extraction Techniques: Applications and Challenges
by Shaikh Manirul Haque, Abuzar Kabir, Elaref Ratemi, Mohamed Elzagheid, Sreekumar Parambathmadhom Appu, Syed Sauban Ghani and Abdullah Sarief
Separations 2025, 12(3), 65; https://doi.org/10.3390/separations12030065 - 9 Mar 2025
Viewed by 373
Abstract
Pectin is a complex and versatile polysaccharide crucial for various industries. It functions as a thickener, gelling agent, emulsifier, and low-calorie food. Its anti-inflammatory and immunomodulatory properties have attracted biomedical interest, while its biodegradability and biocompatibility make it valuable for biomaterial applications. The [...] Read more.
Pectin is a complex and versatile polysaccharide crucial for various industries. It functions as a thickener, gelling agent, emulsifier, and low-calorie food. Its anti-inflammatory and immunomodulatory properties have attracted biomedical interest, while its biodegradability and biocompatibility make it valuable for biomaterial applications. The effectiveness of these applications depends on the quality of pectin extraction procedures. While traditional extraction methods exist, green methodologies and alternative techniques have improved pectin’s physicochemical properties—a significant advantage for industrial applications. Pectin can be extracted from various sources, with its molecular structure and functional groups analyzed through different characterization techniques. Modern green extraction methods include ultrasound-assisted extraction, pulsed ultrasound-assisted extraction, pulsed electric field, moderate electric field mediated extraction, microwave-assisted extraction, subcritical water extraction, enzyme-assisted extraction, ohmic heating-assisted extraction, ultrasound-assisted microwave extraction, ultrasound-assisted ohmic heating extraction, hydrothermal processing, high-pressure processing extraction, and dielectric barrier discharge extraction. This review examines these methods’ advantages and disadvantages, along with their applications and future possibilities; it serves as a comprehensive guide for researchers exploring new pectin-rich sources and green extraction technologies for commercial applications. Full article
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<p>Various applications of pectin.</p>
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<p>DSC thermograms of pectin extracted using different methods from pomelo peel [<a href="#B67-separations-12-00065" class="html-bibr">67</a>].</p>
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<p>SEM images of pectin extracted from feijoa using a microwave-enzyme assisted (PMEAE), enzyme assisted (PEAE) and conventional heating methods (PCHE) [<a href="#B92-separations-12-00065" class="html-bibr">92</a>].</p>
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<p>XRD of apple pectin extracted by conventional heating method (<b>a</b>), citric acid extraction (<b>b</b>), organic acid mixture (<b>c</b>), microwave extraction (<b>d</b>) and ultrasound extraction (<b>e</b>) methods [<a href="#B85-separations-12-00065" class="html-bibr">85</a>].</p>
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<p>Schematic representation of Ultrasound-Assisted Extraction technique.</p>
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<p>Schematic representation of PUAE, PEF, MAE, and EAE extraction techniques.</p>
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<p>Schematic representation of the SWE technique.</p>
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<p>Schematic representation of the Ohmic Heating-Assisted Extraction (OHAE) process.</p>
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<p>Schematic representation of the Ultrasound-Assisted Microwave Extraction (UAME) process.</p>
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<p>Schematic representation of the process of Ultrasound-Assisted Ohmic Heating Extraction (UAOHE).</p>
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<p>Schematic representation of the Hydrothermal Extraction process (HTE).</p>
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<p>Schematic representation of the High-Pressure Processing Extraction technique (HPPE).</p>
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<p>Schematic representation of the Dielectric Barrier Discharge Extraction (DBDE) process.</p>
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20 pages, 11501 KiB  
Article
Selective Adsorption of Lead in Mixed Metals Wastewater System by Lignin-Carbon-Supported Titanate Nanoflower BC@TNS Adsorbent: Performance and Mechanism
by Jielan Feng, Lei Zhong, Zekun Yang, Chak-Yin Tang, Wing-Cheung Law, Ruchun Wu and Fengwei Xie
Coatings 2025, 15(3), 317; https://doi.org/10.3390/coatings15030317 - 9 Mar 2025
Viewed by 224
Abstract
This study introduced a novel type of biochar–titanate nanosheet (BC@TNS) composite for the selective adsorption of Pb(II) from wastewater containing various heavy metal ions. The biochar derived from lignin–carbon pyrolysis forms the scaffold, while titanate nanosheets coat it via an alkaline hydrothermal reaction. [...] Read more.
This study introduced a novel type of biochar–titanate nanosheet (BC@TNS) composite for the selective adsorption of Pb(II) from wastewater containing various heavy metal ions. The biochar derived from lignin–carbon pyrolysis forms the scaffold, while titanate nanosheets coat it via an alkaline hydrothermal reaction. The synthesis was confirmed through analytic characterizations, revealing a distinctive morphology of TNS nanoflowers consisting of numerous nanosheets incorporated into the BC support. BC@TNS achieved maximum adsorption capacities of 37.89 mg/g for Pb(II), 13.38 mg/g for Cd(II), and 8.47 mg/g for Zn(II), demonstrating its remarkable selectivity for Pb(II). Kinetic studies using Weber–Morris, PFO, and PSO models indicated that Pb(II) adsorption was primarily driven by chemisorption, whereas Cd(II) and Zn(II) adsorption were predominantly governed by physisorption. Isotherm analysis using Langmuir, Freundlich, Dubinin–Radushkevich, and Temkin models revealed that Pb(II) adsorption involved both monolayer and multilayer processes, while Cd(II) and Zn(II) adsorption were primarily monolayer. Detailed insights from scanning electron microscopy (SEM-EDS) and X-ray photoelectron spectroscopy (XPS) analyses further elucidated these mechanisms. The superior selectivity of BC@TNS for Pb(II) was further validated in multicomponent simulated HMs containing 10 co-existing metal ions, maintaining a high Pb(II) adsorption efficiency of 75.68%, highlighting its potential for selective Pb recovery. Moreover, the adsorbent demonstrated excellent regeneration capacity and recyclability. The BC@TNS adsorbent shows great potential for the selective and efficient removal of Pb(II) ions from wastewater, offering a sustainable solution for environmental protection. Full article
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Graphical abstract

Graphical abstract
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<p>The images of BC@TNS before adsorption (<b>a</b>), enlarged view with details (<b>b</b>), and after adsorption (<b>c</b>).</p>
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<p>The images of BC@TNS after adsorption (<b>b</b>), EDS pattern (<b>a</b>), and EDS element mapping images (<b>c</b>–<b>h</b>): (<b>c</b>) C, (<b>d</b>) O, (<b>e</b>) Ti, (<b>f</b>), Pb, (<b>g</b>) Cd, (<b>h</b>) Zn.</p>
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<p>XRD patterns of BC@TNS before and after Pb(II), Cd(II), and Zn(II) adsorptions (<b>a</b>), and FTIR patterns of 450 BC, TNS, BC@TNS before and after Pb(II), Cd(II), and Zn(II) adsorptions (<b>b</b>).</p>
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<p>XPS high-resolution spectra: survey (<b>a</b>), Pb 4f (<b>b</b>), Zn 2p (<b>e</b>), Cd 3d (<b>f</b>), C 1s (<b>c</b>,<b>g</b>), O 1s (<b>d</b>,<b>h</b>).</p>
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<p>Adsorption kinetics of Pb(II), Cd(II), and Zn(II) onto the BC@TNS, Weber model (<b>a</b>), PFO model (<b>b</b>), PSO model (<b>c</b>).</p>
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<p>Adsorption isotherms analysis by Langmuir, Freundlich, and Dubinin–Radushkevich models for Pb(II), Cd(II), and Zn(II) adsorption by BC@TNS (<b>a</b>); adsorption isotherm analysis by Temkin models for Pb(II), Cd(II), and Zn(II) adsorption by BC@TNS (<b>b</b>).</p>
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<p>Effect of BC@TNS dosage on removal efficiency of Pb(II), Cd(II), and Zn(II) (<b>a</b>), effect of initial ion concentration of Pb(II) on removal efficiency of Pb(II), Cd(II), and Zn(II) (<b>b</b>), and effect of pH values on removal efficiency of Pb(II), Cd(II), and Zn(II) (<b>c</b>).</p>
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<p>Removal efficiency of BC@TNS for Ni(II), Mg(II), Cu(II), Cd(II), Zn(II), Fe(III), Ca(II), As(III)/As(V), and Pb(II).</p>
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<p>Effect of recovery performance of BC@TNS on lead selectivity.</p>
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29 pages, 19378 KiB  
Article
Mapping Alteration Minerals Associated with Aktogay Porphyry Copper Mineralization in Eastern Kazakhstan Using Landsat-8 and ASTER Satellite Sensors
by Elmira Orynbassarova, Hemayatullah Ahmadi, Bakhberde Adebiyet, Alma Bekbotayeva, Togzhan Abdullayeva, Amin Beiranvand Pour, Aigerim Ilyassova, Elmira Serikbayeva, Dinara Talgarbayeva and Aigerim Bermukhanova
Minerals 2025, 15(3), 277; https://doi.org/10.3390/min15030277 - 9 Mar 2025
Viewed by 207
Abstract
Mineral resources, particularly copper, are crucial for the sustained economic growth of developing countries like Kazakhstan. Over the past four decades, the diversity and importance of critical minerals for high technology and environmental applications have increased dramatically. Today, copper is a critical metal [...] Read more.
Mineral resources, particularly copper, are crucial for the sustained economic growth of developing countries like Kazakhstan. Over the past four decades, the diversity and importance of critical minerals for high technology and environmental applications have increased dramatically. Today, copper is a critical metal due to its importance in electrification. Porphyry deposits are important sources of copper and other critical metals. Conventional exploration methods for mapping alteration zones as indicators of high-potential zones in porphyry deposits are often associated with increased cost, time and environmental concerns. Remote sensing imagery is a cutting-edge technology for the exploration of minerals at low cost and in short timeframes and without environmental damage. Kazakhstan hosts several large porphyry copper deposits, such as Aktogay, Aidarly, Bozshakol and Koksai, and has great potential for the discovery of new resources. However, the potential of these porphyry deposits has not yet been fully discovered using remote sensing technology. In this study, a remote sensing-based mineral exploration approach was developed to delineate hydrothermal alteration zones associated with Aktogay porphyry copper mineralization in eastern Kazakhstan using Landsat-8 and ASTER satellite sensors. A comprehensive suite of image processing techniques was used to analyze the two remote sensing datasets, including specialized band ratios (BRs), principal component analysis (PCA) and the Crosta method. The remote sensing results were validated against field data, including the spatial distribution of geological lineaments and petrographic analysis of the collected rock samples of alteration zones and ore mineralization. The results show that the ASTER data, especially when analyzed with specialized BRs and the Crosta method, effectively identified the main hydrothermal alteration zones, including potassic, propylitic, argillic and iron oxide zones, as indicators of potential zones of ore mineralization. The spatial orientation of these alteration zones with high lineament density supports their association with underlying mineralized zones and the spatial location of high-potential zones. This study highlights the high applicability of the remote sensing-based mineral exploration approach compared to traditional techniques and provides a rapid, cost-effective tool for early-stage exploration of porphyry copper systems in Kazakhstan. The results provide a solid framework for future detailed geological, geochemical and geophysical studies aimed at resource development of the Aktogay porphyry copper mineralization in eastern Kazakhstan. The results of this study underpin the effectiveness of remote sensing data for mineral exploration in geologically complex regions where limited geological information is available and provide a scalable approach for other developing countries worldwide. Full article
16 pages, 4638 KiB  
Article
A 34-Year Record of Seismic Activity on Vulcano Island, Italy
by Susanna Falsaperla, Salvatore Spampinato, Ornella Cocina and Giovanni Barreca
Geosciences 2025, 15(3), 96; https://doi.org/10.3390/geosciences15030096 - 8 Mar 2025
Viewed by 229
Abstract
Following the abrupt geochemical and geophysical variations that occurred on the island of Vulcano in September 2021, the search for previous multidisciplinary data on decades-long time spans became necessary to contextualize the newly recorded anomalous variations, which represented a serious threat for the [...] Read more.
Following the abrupt geochemical and geophysical variations that occurred on the island of Vulcano in September 2021, the search for previous multidisciplinary data on decades-long time spans became necessary to contextualize the newly recorded anomalous variations, which represented a serious threat for the local population. Our analyses of ‘vintage’ reports, old documents and analogue seismograms, broaden our understanding of crustal seismic activity. The results unravel the predominant role of Vulcano’s hydrothermal system with respect to tectonic processes in the generation of seismicity in the analyzed sector. Earthquakes were generally located offshore and achieved a maximum M4.6. A 2D strain release map and DBSCAN application highlight seismogenic volumes to the NW, SW and E offshore of the island and trending NNW-SSE inshore, in agreement with structural patterns. Two major volcano unrests in 1985 and 1988 had seismicity mostly confined to the island. In comparison, the longer duration and typology of seismic signals recorded between 2021 and 2022 make this latest episode peculiar in the context of Vulcano’s past seismic activity. Full article
(This article belongs to the Section Geophysics)
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<p>Map of the seismic stations in the Aeolian Islands (red triangles). The dotted and dashed lines mark the epicentral region of interest for the collection of earthquakes in this study and a zoomed-in image of the Vulcano island, respectively. Tectonic features and their kinematics are from [<a href="#B22-geosciences-15-00096" class="html-bibr">22</a>,<a href="#B23-geosciences-15-00096" class="html-bibr">23</a>,<a href="#B24-geosciences-15-00096" class="html-bibr">24</a>]. The digital elevation model (DEM) used is from TINITALY DEM 1.1 by Tarquini et al. [<a href="#B25-geosciences-15-00096" class="html-bibr">25</a>], published with a CC BY 4.0 licence (<a href="https://doi.org/10.13127/tinitaly/1.1" target="_blank">https://doi.org/10.13127/tinitaly/1.1</a>; last access on 5 December 2024). The figure was created using QGIS 3.22 (free software) and CorelDRAW 2021 (version 23.5.0.506) software.</p>
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<p>Number of earthquakes (M &gt; 2.5) and cumulative strain release per day from 1985 to 2019. Arrows mark the occurrence of earthquakes with M ≥ 3.8.</p>
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<p>Magnitude–time (<b>a</b>), depth–time (<b>b</b>) and depth–magnitude (<b>c</b>) characteristics of the earthquakes from 1985 to 1999. The red dash line marks the main feature in each diagram (see text for explanations).</p>
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<p>Hourly frequency of seismic events in the Lipari–Vulcano complex (LIVU) from 1985 to 1999. Coloured bands highlight the 1985 and 1988 seismic unrests.</p>
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<p>Seismic unrests in 1985 and 1988: (<b>a</b>–<b>c</b>) There were 32 seismic events with 1 ≤ M ≤ 2.3 from 25 April to 25 August 1985. (<b>d</b>–<b>f</b>) There were 100 earthquakes with 1.8 ≤ M ≤ 2.5 from 2 July to 30 September 1988, the epicentres of which roughly delineate a NNW-SSE trend (see dashed line in (<b>d</b>)).</p>
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<p>Hourly frequency and cumulative count of seismic events at the reference station (IVCR) from 1985 to 1999. Coloured bands highlight the 1985 and 1988 seismic unrests.</p>
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<p>2D map of the strain release of earthquakes with M &gt; 2.5 from 1985 to 2019. The average value was calculated within a regular grid of 0.05° in latitude and longitude in the study area and is reported in logarithmic scale. The map was created using Surfer (version 22.3.185) and CorelDRAW 2021 (version 23.5.0.506) software.</p>
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<p>Application of DBSCAN (Density-Based Spatial Clustering of Applications with Noise) to earthquakes with M &gt; 2.5 from 1985 to 2019. The map highlights four well-defined clusters (coloured circles) corresponding to as many seismogenic source volumes. The figure was drawn using MATLAB R2023b (version 23.2.0.2365128).</p>
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<p>Focal mechanisms (beach balls) and epicentres (red dots) of the earthquakes between 1985 and 2019 (from [<a href="#B46-geosciences-15-00096" class="html-bibr">46</a>,<a href="#B47-geosciences-15-00096" class="html-bibr">47</a>,<a href="#B48-geosciences-15-00096" class="html-bibr">48</a>]). A numbered list is provided in <a href="#app1-geosciences-15-00096" class="html-app">Supplementary Table S1</a>. The source of the background map is openstreetmap.org/copyright (QGIS 3.22) and CorelDRAW 2021 (version 23.5.0.506) software.</p>
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<p>Structural–kinematic map of the Lipari–Vulcano sector as inferred from M &gt; 4 FPS [<a href="#B47-geosciences-15-00096" class="html-bibr">47</a>,<a href="#B48-geosciences-15-00096" class="html-bibr">48</a>], GPS velocity field (light blue arrows, see [<a href="#B22-geosciences-15-00096" class="html-bibr">22</a>]) and offshore seismic profiling in the Gulf of Patti (see [<a href="#B23-geosciences-15-00096" class="html-bibr">23</a>,<a href="#B24-geosciences-15-00096" class="html-bibr">24</a>]). The epicentres of the 1985 (red dots) and 1988 (blue dots) seismic swarms are reported. The map was created using ArcGIS pro.</p>
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22 pages, 1915 KiB  
Article
Sugarcane Straw Hemicellulose Extraction by Autohydrolysis for Cosmetic Applications
by Maria João Pereira, Sílvia S. Pedrosa, Joana R. Costa, Maria João Carvalho, Tânia Neto, Ana L. Oliveira, Manuela Pintado and Ana Raquel Madureira
Molecules 2025, 30(6), 1208; https://doi.org/10.3390/molecules30061208 - 7 Mar 2025
Viewed by 240
Abstract
Sugarcane is a popular crop whose cultivation generates a wide range of by-products. The aim was to optimize the hydrothermal extraction of hemicellulose from sugarcane straw using response-surface methods with a two-factor composite design and to assess its functional qualities. Three process parameters [...] Read more.
Sugarcane is a popular crop whose cultivation generates a wide range of by-products. The aim was to optimize the hydrothermal extraction of hemicellulose from sugarcane straw using response-surface methods with a two-factor composite design and to assess its functional qualities. Three process parameters were subject to optimization: solid/liquid ratio (1:6–1:18), temperature (143–186 °C), and extraction time (20–60 min). A xylooligosaccharide (XOS)-enriched extract was characterized regarding its chemical composition, molecular weight, and antioxidant and antimicrobial potential. The optimized extraction yield was 24.46 g/100 g of straw with a polymerization degree of 17.40. Both hemicellulose and XOS demonstrated notable antioxidant properties, with antioxidant effects of 73% and 85%, respectively. Regarding skin enzyme activity, hemicellulose inhibited elastase by more than 50%, while XOS showed no significant effect. However, both extracts exhibited collagenase (MMP1) inhibition comparable to the positive control. In terms of production feasibility, the estimated costs were 130.5 EUR/kg for hemicellulose and 272.5 EUR/kg for XOS. Overall, the optimized XOS-enriched sugarcane straw extract demonstrated promising anti-aging, antioxidant, and preservative properties, highlighting its potential for cosmetic applications. Full article
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<p>Results of monosaccharide and degradation products in hemicellulose after autohydrolysis and yield of hemicellulose extraction from sugarcane straw using S/L ratio and temperature as variables.</p>
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<p>Response-surface plot for yield (<b>a</b>) and degradation products (<b>b</b>) according to the experimental design.</p>
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<p>Monosaccharide and degradation products in hemicellulose after autohydrolysis and yield of hemicellulose extraction from sugarcane straw using time of extraction as a variable.</p>
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<p>FTIR spectrum of straw hemicellulose and XOS extract.</p>
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<p>Antioxidant activity of hemicellulose and XOS extracted from sugarcane straw. Asterisk on a graph represents statistical differences between groups.</p>
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<p>The inhibitory effect of hemicellulose and XOS extracts on skin enzymes: (<b>a</b>) neutrophil elastase, (<b>b</b>) collagenase (MMP1), and (<b>c</b>) tyrosinase. Letters on a graph represent statistical differences between groups. Different letters indicate significant differences, while the same letter means no significant difference.</p>
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<p>Flow chart summarizing the process to obtain hemicellulose and XOS fractions from sugarcane straw.</p>
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18 pages, 4016 KiB  
Article
Kale Seed Germination and Plant Growth Responses to Two Different Processed Biostimulants from Pyrolysis and Hydrothermal Carbonization
by Yuxuan Tang, Raphael Ofoe, Lokanadha R. Gunupuru, Dengge Qin and Lord Abbey
Seeds 2025, 4(1), 13; https://doi.org/10.3390/seeds4010013 - 7 Mar 2025
Viewed by 218
Abstract
The cost of producing organic crops is increasing. Agricultural wastes can be used as biostimulants to increase plant growth and productivity and reduce the dependence on chemical fertilizers. A pouch assay and a potted greenhouse experiment were conducted to investigate the effect of [...] Read more.
The cost of producing organic crops is increasing. Agricultural wastes can be used as biostimulants to increase plant growth and productivity and reduce the dependence on chemical fertilizers. A pouch assay and a potted greenhouse experiment were conducted to investigate the effect of pyroligneous acid (PA) and sea lettuce (SL) on kale (Brassica oleracea subsp. acephala (DC.) Metzg) seed germination and growth. Although previous studies have demonstrated that these two biostimulants could promote plant germination and growth, there is little research to compare their effects on seed germination and plant growth. The pouch assay showed that PA liquid affected the seed germination rate under different concentrations; the seed germination rate decreased as the concentration of PA liquid increased. However, the effect of seed germination was less pronounced in SL liquids. Kale seeds treated with 0.01% PA showed the best elongation and seedling growth performance. Moreover, the greenhouse experiment indicates that SL liquids significantly (p < 0.05) affected kale growth production, while PA liquid had less difference on kale growth under various concentrations. The 0.25% PA and 1% SL increased the aboveground fresh weight by ca. 26% and 29%, respectively. Also, the phytochemical contents of kale leaves, including phenolics, flavonoids, ascorbate, and protein, were significantly increased with 0.25% PA and 1% SL application. These results suggest that low concentrations of PA are more suitable for seedling root growth in kale and 1% SL had the most significant growth-promoting effect on kale. Hydrothermal carbonization sea lettuce liquid can be used as a good biostimulant for agricultural production to improve kale germination and growth. Full article
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<p>The germination rate of kale seeds treated with different concentrations of (<b>A</b>) pyroligneous acid (PA) and (<b>B</b>) sea lettuce (SL).</p>
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<p>Accumulative root elongation of kale seedling growth treated with (<b>A</b>) pyroligneous acid (PA) liquid and (<b>B</b>) sea lettuce (SL) liquid.</p>
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<p>Digital images of seedlings showing different sizes of kale as affected by pyroligneous acid (PA) liquid and sea lettuce (SL) liquid. Deionized water as control.</p>
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<p>Digital images of plant growth of kale as affected by pyroligneous acid (PA) liquid and sea lettuce (SL) liquid at different concentrations.</p>
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<p>Effect of (<b>A</b>) pyroligneous acid (PA) liquid and (<b>B</b>) sea lettuce (SL) liquid on accumulative leaf elongation of kale. Water alone is the control; error bars at data points are percentage standard errors of the mean.</p>
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<p>The (<b>A</b>) leaf number, (<b>B</b>) plant height, (<b>C</b>) stem diameter, and (<b>D</b>) fresh weight of kale in response to pyroligneous acid (PA) liquid and sea lettuce (SL) liquid. Means with different letters are significant differences (<span class="html-italic">p</span> ≤ 0.05) within each concentration. Means were separated using Tukey’s test. Error bars represent standard errors of the mean.</p>
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<p>Effects of different concentrations of pyroligneous acid (PA) liquid and sea lettuce (SL) liquid on chlorophyll an (<b>A</b>), chlorophyll b (<b>B</b>), and carotenoid (<b>C</b>) content of kale. Means with different letters are significant differences (<span class="html-italic">p</span> ≤ 0.05) within each concentration. Means were separated using Tukey’s test and standard errors of the mean are denoted by error bars.</p>
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<p>Effects of different concentrations of pyroligneous acid (PA) liquid and sea lettuce (SL) liquid on ascorbate (<b>A</b>) and dehydroascorbate (<b>B</b>) content of kale. Means with different letters are significant differences (<span class="html-italic">p</span> ≤ 0.05) within each concentration. Means were separated using Tukey’s test and standard errors of the mean are denoted by error bars.</p>
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<p>Effects of different concentrations of pyroligneous acid (PA) liquid and sea lettuce (SL) liquid on total sugar (<b>A</b>), protein (<b>B</b>), phenolics (<b>C</b>), and flavonoid (<b>D</b>) content of kale. Means with different letters are significant differences (<span class="html-italic">p</span> ≤ 0.05) within each concentration. Means were separated using Tukey’s test and standard errors of the mean are denoted by error bars.</p>
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17 pages, 3676 KiB  
Article
Investigation of Component Interactions During the Hydrothermal Process Using a Mixed-Model Cellulose/Hemicellulose/Lignin/Protein and Real Cotton Stalk
by Shengjun Guo, Jiachen Zuo, Xiao Yang, Hui Wang, Lihua Cheng and Libo Zhang
Energies 2025, 18(5), 1290; https://doi.org/10.3390/en18051290 - 6 Mar 2025
Viewed by 177
Abstract
Converting agricultural and forestry waste into high-value-added bio-oil via hydrothermal liquefaction (HTL) reduces incineration pollution and alleviates fuel oil shortages. Current research focuses on adjusting HTL parameters like temperature, time, catalyst, and pretreatment. Few studies explore raw material composition and its interactions with [...] Read more.
Converting agricultural and forestry waste into high-value-added bio-oil via hydrothermal liquefaction (HTL) reduces incineration pollution and alleviates fuel oil shortages. Current research focuses on adjusting HTL parameters like temperature, time, catalyst, and pretreatment. Few studies explore raw material composition and its interactions with bio-oil properties, limiting guidance for future multi-material hydrothermal co-liquefaction. In view of the above problems, the lignocellulosic model in this paper used cellulose, hemicellulose, lignin, and protein as raw materials. At a low hydrothermal temperature (220 °C), the yield and properties of hydrothermal bio-oil were used as indicators to explore the influence of the proportional content of different model components on the interaction in the hydrothermal process through its simple binary blending and multivariate blending. Then, compared with the hydrothermal liquefaction process of cotton stalk, the interaction between components in the hydrothermal process of real lignocellulose was explored. The results demonstrated significant interactions among cellulose, lignin, and hemicellulose in cotton stalks. The relative strength of component interactions was ranked by yield (wt.%) and property modulation as follows: cellulose–lignin (C-L, 6.82%, synergistic enhancement) > cellulose–hemicellulose (C-X, 1.83%, inhibitory effect) > hemicellulose–lignin (X-L, 1.32%, non-significant interaction). Glycine supplementation enhanced bio-oil yields, with the most pronounced effect observed in cellulose–glycine (C-G) systems, where hydrothermal bio-oil yield increased from 2.29% to 4.59%. Aqueous-phase bio-oil exhibited superior high heating values (HHVs), particularly in hemicellulose–glycine (X-G) blends, which achieved the maximum HHV of 29.364 MJ/kg among all groups. Meanwhile, the characterization results of hydrothermal bio-oil under different mixing conditions showed that the proportion of model components largely determined the composition and properties of hydrothermal bio-oil, which can be used as a regulation method for the synthesis of directional chemicals. Cellulose–lignin (C-L) interactions demonstrated the strongest synergistic enhancement, reaching maximum efficacy at a 3:1 mass ratio. This study will deepen the understanding of the composition of lignocellulose raw materials in the hydrothermal process, promote the establishment of a hydrothermal product model of lignocellulose, and improve the yield of bio-oil. Full article
(This article belongs to the Section J: Thermal Management)
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<p>Experimental flow chart for the hydrothermal liquefaction of biomass model components (cellulose, hemicellulose, lignin) to produce bio-oil.</p>
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<p>Comparison of yield and product distribution between single-component and actual hydrothermal bio-oil from cotton stalk.</p>
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<p>Comparison of yield and product distribution of hydrothermal bio-oil mixed with three components. (<b>a</b>) Cellulose and its mixture with other compoents; (<b>b</b>) Hemicellulose and its mixture with other compoents; (<b>c</b>) Lignin and its mixture with other compoents; (<b>d</b>) binary and ternary blend. The blue line is merely a guideline and does not have a fitting significance.</p>
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<p>Comparison of yield and product distribution of hydrothermal bio-oil mixed with three components and proteins. The blue and red line is merely a guideline and does not have a fitting significance.</p>
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<p>Flow chart of binary blending interaction between different proportions of single components.</p>
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<p>Infrared spectra of hydrothermal bio-oil blended by binary and multiple components of different cotton stalks.</p>
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<p>Van Krevelen graphs of single-component, binary-blending, and multivariate-blending systems.</p>
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<p>Total ion spectra of different single-component polyblend bio-oils.</p>
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<p>Distribution of hydrothermal bio-oil compounds among different single components, binary blends, and multicomponent blends.</p>
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12 pages, 2652 KiB  
Article
Rapid and Highly Selective Dopamine Sensing with CuInSe2-Modified Nanocomposite
by Jing Li, Guangzhong Xie, Luwei Dai, Min Yang and Yuanjie Su
J. Compos. Sci. 2025, 9(3), 123; https://doi.org/10.3390/jcs9030123 - 6 Mar 2025
Viewed by 138
Abstract
As an important neurotransmitter, the concentration of dopamine (DA) reflects certain physiological conditions and DA-related diseases. Rapid monitoring of DA levels is of great significance in regulating body health. However, regular electrochemical DA sensors suffer from poor sensitivity, low selectivity and interference immunity, [...] Read more.
As an important neurotransmitter, the concentration of dopamine (DA) reflects certain physiological conditions and DA-related diseases. Rapid monitoring of DA levels is of great significance in regulating body health. However, regular electrochemical DA sensors suffer from poor sensitivity, low selectivity and interference immunity, as well as a complex preparation process. Herein, we developed an accessible and cost-effective electrochemical sensor with a copper indium selenide (CuInSe2 or CIS)-modified screen-printed carbon electrode for DA discrimination. This DA sensor was developed using a facile one-step hydrothermal method without high-temperature quenching. Benefitting from the inherent merits of CIS and the conversion of Cu2+ and Cu+ during the catalytic reaction, the sensor attained both excellent sensitivity (2.511 μA·µM−1·cm−1) and selectivity among multiple substances interfering with DA. This work demonstrates the potential to improve the analytical performance of traditional electrochemical sensors. Full article
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Graphical abstract

Graphical abstract
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<p>Preparation of CIS. (<b>a</b>) Schematic of the preparation process; (<b>b</b>) SEM, scale bar: 2 μm; (<b>c</b>) XRD pattern; (<b>d</b>) diffraction pattern from the selected area, scale bar: 10 nm.</p>
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<p>Characterization of CIS. (<b>a</b>) TEM, scale bar: 5 nm and HR-TEM, scale bar: 1 nm; (<b>b</b>,<b>c</b>) EDS elemental maps, scale bar: 2 μm; (<b>d</b>) FT-IR; (<b>e</b>) Raman patterns of CIS. High-resolution XPS spectra of (<b>f</b>) In 3d, (<b>g</b>) Se 3d and (<b>h</b>) Cu 2P for CIS.</p>
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<p>Comparison of electrochemical properties of bare SPCE and CIS-SPCE. (<b>a</b>) Before bending, (<b>b</b>) outward bending, (<b>c</b>) inward bending and (<b>d</b>–<b>f</b>) the corresponding amperometric responses of CIS-SPCE in 0.1 M PBS with and without 0.3 mM DA, respectively. (<b>g</b>) CV and (<b>h</b>) EIS curves of bare SPCE and CIS-modified SPCE in 0.1 M KCl solution containing 1.0 mM K<sub>3</sub>Fe(CN)<sub>6</sub>. (<b>i</b>) DPV responses of CIS-SPCE to different electrocatalytic dosages in 0.5 mM DA.</p>
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<p>Electrochemical performance analysis of CIS-SPCE for DA detection. (<b>a</b>) DPV and (<b>b</b>) amperometric responses of CIS-SPCE to different concentrations of DA (0.1–1 mM for DA test and 0–1 mM, respectively). Inset are the corresponding calibration plots of current response versus DA concentration. (<b>c</b>) CV curves of the CIS-SPCE at various scan rates (20–200 mV/s) in PBS with 0.5 mM DA. Inset is the linear relationship curve of the anodic peak current versus the scan rates. Effects of (<b>d</b>) bias, and (<b>e</b>) PH values of CIS-SPCE on detection of DA (PBS with 1 mM DA) (inset: peak current versus PH value). (<b>f</b>) Selectivity test of CIS-SPCE to 1 mM DA, 0.1 mM UA, 10 mM AA, LA, Glu and NaCl under a constant voltage of 0.3 V. (<b>g</b>) CV curves of CIS-SPCE in PBS with 0.5 mM DA for 50 cycles. (<b>h</b>) Reproducibility of five independently fabricated CIS-SPCE sensors toward 0.5 mM DA under the same conditions. (<b>i</b>) Repeatability during repeated daily recordings over 50 days.</p>
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<p>Schematic illustration of possible electrochemical catalytic mechanism of DA with CIS−SPCE (“*” represent the free radical).</p>
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25 pages, 11638 KiB  
Article
Geochemical Study of Trace Elements and In Situ S–Pb Isotopes of the Sachakou Pb–Zn Deposit in the Aksai Chin Region, Xinjiang
by Xiaojian Zhao, Nuo Li, Tingbin Fan, Jing Sun, Qinglin Sui, Huishan Zhang, Zhouping Guo, Jianatiguli Wusiman, Kai Weng and Yanjing Chen
Minerals 2025, 15(3), 271; https://doi.org/10.3390/min15030271 - 6 Mar 2025
Viewed by 216
Abstract
The sulfide Pb–Zn deposits in the Aksai Chin region of Xinjiang have long been subject to debate regarding their genetic classification due to the unclear origin of the ore-forming components. This study focuses on the Sachakou Pb–Zn deposit, the most representative deposit in [...] Read more.
The sulfide Pb–Zn deposits in the Aksai Chin region of Xinjiang have long been subject to debate regarding their genetic classification due to the unclear origin of the ore-forming components. This study focuses on the Sachakou Pb–Zn deposit, the most representative deposit in the region, and integrates field investigations, petrographic observations, in situ LA-ICP-MS trace element analysis, and in situ S–Pb isotope analysis. The deposit is hosted within the siliceous rock and silicified limestone of the Lower Jurassic Bagongbulansha Formation, with ore bodies controlled by structural and stratigraphic factors. Three mineralization stages have been identified in the Sachakou deposit: a red–brown sphalerite mineralization stage (S1), a light-brown sphalerite stage (S2), and a galena mineralization stage (S3). The trace elements in sphalerite indicate that the mineralization process is unrelated to magmatic activity. The mineralization temperature, determined using a GGIMFis geothermometer, ranges from 294 °C to 121 °C. The δ34SV-CDT values of sulfides range from −4.93‰ to 1.24‰, suggesting that the Jurassic gypsum layer served as the sulfur source. The lead isotope ratios of 206Pb/204Pb range from 18.308 to 18.395, of 207Pb/204Pb—from 15.669 to 15.731, and of 208Pb/204Pb—from 38.595 to 38.776, indicating that the ore-forming metals were predominantly sourced from the upper crust. Based on geological and geochemical characteristics, the Sachakou Pb–Zn deposit is classified as a sedimentary-hosted epizonogenic hydrothermal deposit. Full article
(This article belongs to the Special Issue Genesis and Evolution of Pb-Zn-Ag Polymetallic Deposits: 2nd Edition)
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<p>Geographical location map (<b>a</b>), tectonic sketch map (<b>b</b>) (modified after Gao et al. [<a href="#B29-minerals-15-00271" class="html-bibr">29</a>]), and geological and mineral resources map (<b>c</b>) (modified after Zhao et al. [<a href="#B16-minerals-15-00271" class="html-bibr">16</a>]) of the Aksai Chin region.</p>
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<p>Simplified geological map of the Sachakou Pb–Zn mining area (modified after Wang et al. [<a href="#B38-minerals-15-00271" class="html-bibr">38</a>]).</p>
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<p>The profile of exploration line 317 in the Sachakou Pb–Zn Mining Area (modified after Wang et al. [<a href="#B38-minerals-15-00271" class="html-bibr">38</a>]).</p>
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<p>Photographs of the Sachakou mining area and typical ore samples. (<b>a</b>) Overview of Pb–Zn ore belt III. (<b>b</b>) Contact boundary between silicified limestone and the silicified and limonitized fracture zone. (<b>c</b>) Banded Pb–Zn ore. (<b>d</b>) Brecciated quartz (S0) cemented by the Pb–Zn ore (S1). (<b>e</b>) Partially oxidized vein-type Pb–Zn ore (S1). (<b>f</b>) Fully oxidized vein-type Pb–Zn ore. (<b>g</b>) Vein-type stibnite ore (S2). (<b>h</b>) Pb–Zn ore (S2) cementing breccias of the Pb–Zn ore (S1) and siliceous rock fragments. (<b>i</b>) Sphalerite vein (S2) crosscutting a sphalerite vein (S1) and the siliceous rock. (<b>j</b>) Contact relationship between the Pb–Zn ore (S2) and the Pb–Zn ore (S3). (<b>k</b>) Vein-type Pb–Zn ore (S2). (<b>l</b>) Brecciated galena ore (S3). Cer—cerussite; Gn—galena; Gyp—gypsum; Lm—limonite; Qz—quartz; Sbn—stibnite; Smt—smithsonite; Sp—sphalerite.</p>
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<p>Photomicrographs and BSE images of ore minerals from the Sachakou Pb–Zn deposit. (<b>a</b>) Rhythmic banded Sp1 coexisting with Qz1. (<b>b</b>) Qz1 coexisting with Gn1 and Sp1. (<b>c</b>) Qz1 coexisting with Py1, Sp1, and Gn1, with smithsonite replacing Sp1 along fractures. (<b>d</b>) Qz1 and Sp1 crosscut by later-stage Qz2 and Sp2. (<b>e</b>) Gn2 filling fractures within Sp2 in the siliceous rock. (<b>f</b>) Sbn1 coexisting with Sp2, with euhedral Py2 developing along the boundary between Sbn1 and the siliceous rock. (<b>g</b>) Anglesite and cerussite replacing the edges of Gn3. (<b>h</b>) Cerussite replacing Gn3 (BSE); (<b>i</b>) Siderite coexisting with Sp3 and Gn3, with cerussite developing along the fractures within siderite and Gn3 (BSE). Ang—anglesite; Cer—cerussite; Gn—galena; Py—pyrite; Qz—quartz; Sd—siderite; Sbn—stibnite; Smt—smithsonite; Sp—sphalerite.</p>
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<p>Mineralization stage division of the Sachakou Pb–Zn deposit.</p>
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<p>Comparison of the sphalerite trace element concentrations using LA-ICP-MS in the Sachakou Pb–Zn deposit.</p>
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<p>Representative time-resolved depth profiles of the sphalerite from the Sachakou Pb–Zn deposit. (<b>a</b>) Flat signals indicating elements mainly hosted in the sphalerite lattice. (<b>b</b>) Abnormal peak signals suggesting the presence of micro-scale mineral inclusions.</p>
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<p>Scatter plot of trace elements in the sphalerite from the Sachakou Pb–Zn deposit. (<b>a</b>) Fe vs. Mn. (<b>b</b>) Fe vs. Co. (<b>c</b>) Fe vs. Ge. (<b>d</b>) Fe vs. Cd. (<b>e</b>) In vs. Sn. (<b>f</b>) Ni vs. Mn. (<b>g</b>) As vs. Ag.</p>
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<p>Histogram of sphalerite mineralization temperatures in the Sachakou Pb–Zn deposit, determined using a GGIMFis geothermometer.</p>
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<p>Sulfur isotope histogram (<b>a</b>) and scatter plot (<b>b</b>) of the sulfides from the Sachakou Pb–Zn deposit and the surrounding area (Jurassic gypsum layer data from the research by Gao et al. [<a href="#B29-minerals-15-00271" class="html-bibr">29</a>], Jia et al. [<a href="#B19-minerals-15-00271" class="html-bibr">19</a>], Li et al. [<a href="#B58-minerals-15-00271" class="html-bibr">58</a>]; Tang et al. [<a href="#B28-minerals-15-00271" class="html-bibr">28</a>]).</p>
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<p>Pb isotope correlation diagrams of the galena from the Sachakou Pb–Zn Deposit. The <sup>207</sup>Pb/<sup>204</sup>Pb versus <sup>206</sup>Pb/<sup>204</sup>Pb evolution diagram (base map from Zartman and Doe [<a href="#B69-minerals-15-00271" class="html-bibr">69</a>]) is shown in (<b>a</b>), with a close-up view provided in (<b>b</b>); the <sup>208</sup>Pb/<sup>204</sup>Pb versus <sup>206</sup>Pb/<sup>204</sup>Pb evolution diagram (base map from Zartman and Doe [<a href="#B69-minerals-15-00271" class="html-bibr">69</a>]) is shown in (<b>c</b>), with a close-up view provided in (<b>d</b>); (<b>e</b>) ∆β versus ∆γ tectonic environment classification diagram (base map from Zhu [<a href="#B67-minerals-15-00271" class="html-bibr">67</a>]). The stratigraphic Pb isotope data in (<b>a</b>–<b>e</b>) are cited from Jia et al. [<a href="#B19-minerals-15-00271" class="html-bibr">19</a>] and Zhou [<a href="#B66-minerals-15-00271" class="html-bibr">66</a>]. 1—mantle-derived lead; 2—upper crustal lead; 3—subduction zone lead with a mixture of upper crustal and mantle-derived lead (3a—magmatism; 3b—sedimentation); 4—chemically precipitated lead; 5—seafloor hydrothermal lead; 6—medium- to high-grade metamorphic lead; 7—high-grade lower crustal lead; 8—orogenic belt lead; 9—ancient shale upper crustal lead; 10—retrograde metamorphic lead.</p>
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18 pages, 7968 KiB  
Article
Stages and Evolution of Strike-Slip Faults of the Ultra-Deep-Burial Ordovician Strata in Fuman Oilfield, Tarim Basin: Evidence from U-Pb Geochronology of Siliceous Minerals
by Chao Yao, Zhanfeng Qiao, Xiao Luo, Tianfu Zhang, Bing Li, Shaoying Chang, Zhenyu Zhang and Jiajun Chen
Minerals 2025, 15(3), 270; https://doi.org/10.3390/min15030270 - 6 Mar 2025
Viewed by 235
Abstract
Siliceous minerals with the property of resistance to diagenetic alteration precipitate during the migration of hydrothermal fluids through strike-slip faults and the interaction of these fluids with host rocks during fault activity. Based on petrological analyses and U-Pb dating of siliceous minerals, the [...] Read more.
Siliceous minerals with the property of resistance to diagenetic alteration precipitate during the migration of hydrothermal fluids through strike-slip faults and the interaction of these fluids with host rocks during fault activity. Based on petrological analyses and U-Pb dating of siliceous minerals, the stages of strike-slip faulting of the ultra-deep-burial Ordovician in the Fuman oilfield were subdivided and their evolutionary process was discussed in combination with seismic interpretation. The results reveal the following: (1) the strike-slip faults contain hydrothermal siliceous minerals, including cryptocrystalline silica, crystalline silica, and radial silica. (2) Based on the twelve U-Pb ages of siliceous minerals (ranging from 458 ± 78 Ma to 174 ± 35 Ma) and five U-Pb ages of calcite, the activity of the strike-slip faults was divided into six stages: the Middle Caledonian, Late Caledonian, Early Hercynian, Middle Hercynian, Late Hercynian, and Yanshanian, corresponding to twelve siliceous U-Pb ages ranging from 458 ± 78 Ma to 174 ± 35 Ma, and five calcitic U-Pb ages. The Late Caledonian and Early Hercynian were the main periods of strike-slip fault activity, while the Late Hercynian period marked the final period of the fault system. (3) Later-stage faults inherited and developed from pre-existing faults. Steep linear strike-slip faults formed during the Middle and Late Caledonian movements. During the Late Hercynian and Yanshanian movements, mid-shallow faults, branch faults, and shallow echelon faults developed on the foundation of these linear faults. The methods and results of this study can guide future hydrocarbon exploration in the Fuman oilfield and can be applied to areas with similar tectonic backgrounds. Full article
(This article belongs to the Special Issue Deformation, Diagenesis, and Reservoir in Fault Damage Zone)
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<p>Distribution of the Ordovician strike-slip faults and drilled samples (<b>a</b>), locations of the Fuman oilfield and YAB outcrop (<b>b</b>), location of the Tarim basin (<b>c</b>), and lithological column (<b>d</b>). F<sub>I</sub> and F<sub>II</sub> mentioned in <a href="#minerals-15-00270-f001" class="html-fig">Figure 1</a>a indicate first-order faults and second-order faults, respectively.</p>
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<p>Photo of experimental core samples: (<b>a</b>) GL1, (<b>b</b>) GL2, (<b>c</b>) GL3, (<b>d</b>) GL3-H, (<b>e</b>) YM5, (<b>f</b>) YM6, (<b>g</b>) YM703, (<b>h</b>) MS5, and (<b>i</b>) MS711. Siliceous minerals occurred in fractures with three colors including dark gray (<b>a</b>–<b>e</b>), grayish white (<b>f</b>–<b>i</b>), and colorless (<b>c</b>–<b>e</b>).</p>
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<p>Optical microscope images under plane-polarized light of samples, except for c with cross-polarized light. (<b>a</b>) GL1, grain limestone with grains replaced by cryptocrystalline silica and cemented by microcrystalline silica. (<b>b</b>) GL2, same description as (<b>a</b>). (<b>c</b>) GL3, same description as (<b>a</b>) except for the radial silica filling in the center of siliceous component. (<b>d</b>–<b>f</b>) GL3-H, two stages of siliceous minerals with cryptocrystalline silica on the outside and radial silica at the core. (<b>g</b>) YM5, cryptocrystalline silica replacing grains and becoming cloudy, and chemically homogeneous radial silica. (<b>h</b>) YM6, silica replacing grains along fracture. (<b>i</b>) YM703, cryptocrystalline silica replacing grains and crystalline silica filling in the fractures. Silica cut by late fractures filled with sparry calcite. (<b>j</b>–<b>k</b>) MS5, bioclastic grain and matrix replaced by cryptocrystalline silica, intergranular and dissolved pores filled by crystalline silica, and residual calcite located inside and at the edges of the bioclastic grain. (<b>l</b>) MS711, same description as (<b>a</b>). Red dots in the figure represent siliceous U–Pb dating targets, while blue dots represent calcareous U–Pb dating targets.</p>
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<p>BSE images and chemical analysis points of the siliceous minerals for GL3 (<b>a</b>,<b>b</b>), GL3-H (<b>c</b>–<b>e</b>), and YM5 (<b>f</b>). Red dots correspond to the points in <a href="#minerals-15-00270-t002" class="html-table">Table 2</a>. Black represents fracture or pores, dark gray represents silica, grayish white represents calcite, and white represents pyrite. The picture in the lower-left corners of (<b>a</b>,<b>c</b>,<b>d</b>,<b>f</b>) is the energy spectrum. Square points in (<b>b</b>) are the laser ablation points for U–Pb dating.</p>
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<p>Comparison of δ<sup>30</sup>Si of experimental samples with different geological reservoirs (Revised from Wang et al. [<a href="#B43-minerals-15-00270" class="html-bibr">43</a>]; Zhang et al. [<a href="#B44-minerals-15-00270" class="html-bibr">44</a>]; Deng et al. [<a href="#B45-minerals-15-00270" class="html-bibr">45</a>]; and Savage et al. [<a href="#B46-minerals-15-00270" class="html-bibr">46</a>,<a href="#B47-minerals-15-00270" class="html-bibr">47</a>]).</p>
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<p>U–Pb dating results of silica (red) and calcite (blue) in sampled fractures by LA-MC-ICP-MS. (<b>a</b>–<b>k</b>) Silica U–Pb dating of GL1, GL2, GL3, GL3-H (cryptocrystalline silica), GL3-H (radial silica), YM5, YM6, YM703, MS5 (cryptocrystalline silica of bioclast), MS5 (cryptocrystalline silica of matrix), and MS711, respectively; (<b>l</b>–<b>p</b>) Calcite U–Pb dating of GL2, GL3-H, YM703, MS5, and MS711; more details shown in <a href="#minerals-15-00270-t001" class="html-table">Table 1</a> and <a href="#minerals-15-00270-f003" class="html-fig">Figure 3</a>.</p>
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<p>The petrological characteristics and U–Pb age of siliceous rocks in the siliceous streak, 20 cm away from diabase intrusion of the Penglaiba Formation in the Yong’anba outcrop. (<b>a</b>) Outcrop photo; (<b>b</b>) sample photo of YAB; (<b>c</b>) optical microscope photo of YAB; (<b>d</b>) U–Pb dating result of YAB.</p>
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<p>The developments of strike-slip faults in the Fuman oilfield based on U–Pb dating [<a href="#B31-minerals-15-00270" class="html-bibr">31</a>,<a href="#B51-minerals-15-00270" class="html-bibr">51</a>].</p>
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<p>Seismic profiles and strike-slip fault interpretation of GL3-H well in F<sub>I</sub>5 (<b>a</b>), YM5 well in F<sub>I</sub>7 (<b>b</b>), and MS5 well in F<sub>I</sub>17 (<b>c</b>).</p>
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<p>Seismic profile (<b>a</b>) and evolution process at different periods (<b>b</b>–<b>f</b>) of F<sub>I</sub>17.</p>
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14 pages, 3801 KiB  
Article
Hydrochar from Agricultural Waste as a Biobased Support Matrix Enhances the Bacterial Degradation of Diethyl Phthalate
by Emanuel Gheorghita Armanu, Simone Bertoldi, Matthias Schmidt, Hermann J. Heipieper, Irina Volf and Christian Eberlein
Molecules 2025, 30(5), 1167; https://doi.org/10.3390/molecules30051167 - 5 Mar 2025
Viewed by 445
Abstract
The hydrothermal carbonization (HTC) of biomass presents a sustainable approach for waste management and production of value-added materials such as hydrochar, which holds promise as an adsorbent and support matrix for bacterial immobilization applied, e.g., for bioremediation processes of sites contaminated with phthalate [...] Read more.
The hydrothermal carbonization (HTC) of biomass presents a sustainable approach for waste management and production of value-added materials such as hydrochar, which holds promise as an adsorbent and support matrix for bacterial immobilization applied, e.g., for bioremediation processes of sites contaminated with phthalate ester plasticizers such as diethyl phthalate (DEP). In the present study, hydrochar was synthesized from vine shoots (VSs) biomass employing the following parameters during the HTC process: 260 °C for 30 min with a 1:10 (w/v) biomass-to-water ratio. The resulting vine shoots hydrochar (VSs-HC) was characterized for porosity, elemental composition, and structural properties using Scanning Electron Microscopy (SEM), Energy-Dispersive X-ray Spectroscopy (EDX), and Raman spectroscopy. Elemental analysis confirmed the presence of key elements in the VSs structure, elements essential for char formation during the HTC process. The VSs-HC exhibited a macroporous structure (>0.5 μm), facilitating diethyl phthalate (DEP) adsorption, bacterial adhesion, and biofilm formation. Adsorption studies showed that the VSs-HC achieved a 90% removal rate for 4 mM DEP within the first hour of contact. Furthermore, VS-HC was tested as a support matrix for a bacterial consortium (Pseudomonas spp. and Microbacterium sp.) known to degrade DEP. The immobilized bacterial consortium on VSs-HC demonstrated enhanced tolerance to DEP toxicity, degrading 76% of 8 mM DEP within 24 h, compared with 14% by planktonic cultures. This study highlights VSs-HC’s potential as a sustainable and cost-effective material for environmental bioremediation, offering enhanced bacterial cell viability, improved biofilm formation, and efficient plasticizer removal. These findings provide a pathway for mitigating environmental pollution through scalable and low-cost solutions. Full article
(This article belongs to the Special Issue Advances in Polymer Materials Based on Lignocellulosic Biomass)
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<p>Vine shoot valorization through hydrothermal carbonization and the resulting porous hydrochar.</p>
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<p>SEM images of (<b>a</b>) VSs biomass; and (<b>b</b>) VSs-HC obtained at 260 °C, 30 min, and 1:10 <span class="html-italic">w</span>/<span class="html-italic">v</span> ratio.</p>
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<p>SEM-EDX coupled analysis of the hydrochar surface.</p>
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<p>Hydrochar’s Raman analysis on (<b>a</b>) targeted location and (<b>b</b>) the identified spectral band of graphite-like structures.</p>
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<p>UPLC measurements of DEP adsorption by different amendments of hydrochar after 1 h (T1), 12 h (T12), and 24 h (T24). The initial concentration was 4 mM DEP. Hydrochar concentrations (%) reported for the dry weights (mg) of 0.5 = 50 (blue); 1 = 100 (orange); 2 = 200 (green).</p>
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<p>Growth rates (black circles) of the bacterial consortium when incubated with different concentrations of DEP in the absence of hydrochar. The growth rate of the bacterial consortium on 2 mM DEP (=control) was set to 100% and compared to the growth rates on 4, 8, and 16 mM DEP. Growth on 32 mM DEP is 0% of the control.</p>
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<p>SEM images of VSs-HC after incubation with the bacterial consortium at 8 mM DEP after 1 (<b>a</b>), 12 (<b>b</b>), and 24 h (<b>c</b>).</p>
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<p>DEP degradation (<b>a</b>) by the microbial consortium in the absence of hydrochar and (<b>b</b>) by the microbial consortium and hydrochar (0.5% <span class="html-italic">w</span>/<span class="html-italic">v</span>). Adsorption capacity is reported in mM to reflect the molar concentration of DEP removed from the aqueous solution, consistent with microbiological conventions for substrate measurement. This unit emphasizes the integrated adsorption–biodegradation process rather than hydrochar-specific capacity, which could alternatively be expressed in mg/g or mM/g if normalized to adsorbent mass.</p>
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16 pages, 6354 KiB  
Article
From Cellulose to Highly Aromatic Hydrochar: Catalytic Carbonization and Catalytic Aromatization Mechanism of Lanthanide (III) Ions
by Shuaijie Han, Mingshu Chi, Xiuling Xu, Li Bai, Junquan Wu and Yizhuo Guo
Catalysts 2025, 15(3), 245; https://doi.org/10.3390/catal15030245 - 5 Mar 2025
Viewed by 114
Abstract
Hydrothermal carbonization (HTC) is an efficient method for converting lignocellulosic biomass into biofuels. However, traditional Brønsted acid-catalyzed HTC processes face challenges such as high costs and limited catalytic efficiency. In this study, the catalytic carbonization mechanism was investigated within the temperature range of [...] Read more.
Hydrothermal carbonization (HTC) is an efficient method for converting lignocellulosic biomass into biofuels. However, traditional Brønsted acid-catalyzed HTC processes face challenges such as high costs and limited catalytic efficiency. In this study, the catalytic carbonization mechanism was investigated within the temperature range of 180–220 °C by analyzing the evolution of functional groups in hydrochar under lanthanide (III)-catalyzed and non-catalyzed conditions. The results indicate that compared to acid catalysis, lanthanide (III) exhibits superior catalytic performance during the low-temperature HTC of cellulose. At 200 °C, lanthanide (III) accelerates the conversion of cellulose into char microparticles, while at 220 °C, it promotes the complete hydrolysis of cellulose into char microparticles enriched with furan structures. Characterization analyses revealed that lanthanide (III) enhances the formation of HMF (5-hydroxymethylfurfural), suppresses its conversion to LA (levulinic acid), promotes the polymerization of HMF into char microparticles, and indirectly accelerates the hydrolysis of cellulose into oligosaccharides. Full article
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<p>The proximate analysis and HHV of hydrochars.</p>
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<p>SEM images of (<b>a</b>) C-220, (<b>b</b>) LC-220, (<b>c</b>) C-250, and (<b>d</b>) C-280.</p>
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<p>FTIR spectra of hydrothermal carbon catalyzed by Lacl<sub>3</sub> (<b>a</b>) and acetic acid (<b>b</b>) between 180 and 220 °C.</p>
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<p>The <sup>13</sup>C NMR spectra of the hydrochars: (<b>a</b>) hydrochars at 180 °C; (<b>b</b>) hydrochars at 200 °C; (<b>c</b>) hydrochars at 220 °C; (<b>d</b>) hydrochars at different temperatures.</p>
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<p><sup>13</sup>C NMR labeling schemes for cellulose (<b>a</b>) and aromatic rings (furan and phenol) (<b>b</b>).</p>
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<p>Distribution of the C-containing functional groups (<b>a</b>) and the proposed structures (<b>b</b>) of hydrochars formed from raw materials of a high degree of intermediate dissolution and the subsequent hydrolyzed part through polymerization.</p>
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<p>Potential polymerization pathways of HMF: (<b>A</b>) aldol condensation reaction of HMF with HMF; (<b>B</b>) aldol condensation reaction of HMF with DHH; (<b>C</b>) polymerization reactions between furan molecules and between furan and phenolic compounds.</p>
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<p>The evolution of pH and TOC of liquid-phase products.</p>
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<p>The catalytic HTC mechanism of cellulose to form hydrochar with highly aromatic structures on account of lanthanide (III) ion catalysis.</p>
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25 pages, 3293 KiB  
Article
Design of a Semi-Continuous Microwave System for Pretreatment of Microwave-Assisted Pyrolysis Using a Theoretical Method
by Paula Andrea Ramírez Cabrera, Alejandra Sophia Lozano Pérez and Carlos Alberto Guerrero Fajardo
Inventions 2025, 10(2), 24; https://doi.org/10.3390/inventions10020024 - 4 Mar 2025
Viewed by 233
Abstract
This article provides an overview of various microwave-assisted techniques, such as microwave-assisted extraction (MAE), microwave-assisted organic synthesis (MAOS), microwave-assisted pyrolysis (MAP), microwave-assisted hydrothermal treatment (MAHT), microwave-assisted acid hydrolysis (MAAH), microwave-assisted organosolv (MAO), microwave-assisted alkaline hydrolysis (MAA), microwave-assisted enzymatic hydrolysis (MAEH), and microwave-assisted fermentation [...] Read more.
This article provides an overview of various microwave-assisted techniques, such as microwave-assisted extraction (MAE), microwave-assisted organic synthesis (MAOS), microwave-assisted pyrolysis (MAP), microwave-assisted hydrothermal treatment (MAHT), microwave-assisted acid hydrolysis (MAAH), microwave-assisted organosolv (MAO), microwave-assisted alkaline hydrolysis (MAA), microwave-assisted enzymatic hydrolysis (MAEH), and microwave-assisted fermentation (MAF). Microwave-assisted biomass pretreatment has emerged as a promising method to improve the efficiency of biomass conversion processes, in particular microwave-assisted pyrolysis (MAP). The focus is on microwave-assisted pyrolysis, detailing its key components, including microwave sources, applicators, feedstock characteristics, absorbers, collection systems, and reactor designs. Based on different studies reported in the literature and a mathematical model, a mechanical design of a microwave oven adapted for pyrolysis is proposed together with a computer-aided design and a finite element analysis. The semi-continuous system is designed for a 40 L capacity and a power of 800 W. The material with which the vessel was designed is suitable for the proposed process. The challenges, opportunities, and future directions of microwave-assisted technologies for the sustainable use of biomass resources are presented. Full article
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<p>Frequency of microwaves adapted from [<a href="#B11-inventions-10-00024" class="html-bibr">11</a>].</p>
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<p>Heat transfer via conventional heating and microwave heating. Adapted from [<a href="#B31-inventions-10-00024" class="html-bibr">31</a>].</p>
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<p>Types of microwaves adapted from [<a href="#B46-inventions-10-00024" class="html-bibr">46</a>].</p>
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<p>Design for microwave-assisted pyrolysis. (<b>a</b>) Left side view of the design and (<b>b</b>) front side view of the design.</p>
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<p>Parts of the design for microwave-assisted pyrolysis. 1. Microwave oven. 2. Glass vessel lid. 3. Glass vessel. 4. Gas bullet. 5. Gas piping. 6. Thermometer. 7. Pump. 8. Pump piping. 9. Condensation piping. 10. Condensation tubes. 11. Condensation tank. 12. Tee support.</p>
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<p>Dimensions of the design for microwave-assisted pyrolysis.</p>
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<p>Total deformation for the glass vessel.</p>
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<p>Equivalent stress for the glass vessel.</p>
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37 pages, 12886 KiB  
Article
From Source to Sink: U-Pb Geochronology and Lithochemistry Unraveling the Missing Link Between Mesoarchean Anatexis and Magmatism in the Carajás Province, Brazil
by Marco Antônio Delinardo-Silva, Lena Virgínia Soares Monteiro, Carolina Penteado Natividade Moreto, Jackeline Faustinoni, Ticiano José Saraiva Santos, Soraya Damasceno Sousa and Roberto Perez Xavier
Minerals 2025, 15(3), 265; https://doi.org/10.3390/min15030265 - 3 Mar 2025
Viewed by 226
Abstract
The connection between crustal anatexis and magmatism is key to understanding the mechanisms that drive the evolution of the continental crust. Isotope geology and lithochemistry are important tools for reconstructing links between these processes, as field evidence of their connection is often obliterated [...] Read more.
The connection between crustal anatexis and magmatism is key to understanding the mechanisms that drive the evolution of the continental crust. Isotope geology and lithochemistry are important tools for reconstructing links between these processes, as field evidence of their connection is often obliterated by deformation in high-grade terrains. Thus, this study proposes new insights into the connection between the Mesoarchean regional metamorphism, crustal anatexis, and plutonism in the northern sector of the Carajás Province (i.e., Carajás Domain), in the Amazonian Craton, around 2.89 to 2.83 Ga. The widespread crustal anatexis in the Carajás Domain involved the water-fluxed melting of banded orthogneisses of the Xingu Complex and Xicrim-Cateté Orthogranulite (crystallization age at ca. 3.06–2.93 Ga), producing metatexites and diatexites with stromatic, net, schollen, and schlieren morphologies and coeval syntectonic leucosomes with composition similar to tonalites, trondhjemites, and granites. These leucosomes yielded crystallization ages of 2853 ± 5 Ma (MSWD: 0.61), 2862 ± 13 Ma (MSWD: 0.1), and 2867 ± 7 Ma (MSWD: 1.3). Their lithochemical data are similar to those of several diachronous Mesoarchean granitoids of the Carajás Domain in terms of major, minor, and trace elements and magmatic affinity. In addition, binary log–log vector diagrams (e.g., La vs. Yb; Rb vs. Yb), Sr/Y vs. Y, and Eu/Eu* vs. Yb plots indicate that plagioclase fractionation preceded melt extraction, establishing evolving source-to-sink trends between leucosomes and granites. These results show that the interplay between high-grade metamorphism, crustal anatexis, and magmatism may have shaped the evolution of the Mesoarchean continental crust in the Carajás Province, developing a petrotectonic assemblage associated with collisional orogens. The Mesoarchean geodynamic setting played a critical role in the development of coeval ca. 2.89 Ga magmatic–hydrothermal copper deposits in the Carajás Province, as well as Neoarchean world-class iron oxide–copper–gold deposits linked to post-orogenic extensional rebound. Full article
(This article belongs to the Special Issue Geochemistry and Geochronology of High-Grade Metamorphic Rocks)
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<p>Geological map of the northern portion of the Carajás Province. The map highlights the position of the province in the Amazonian Craton and its subdivision into the Carajás (DC) and Rio Maria (RMD) domains, as shown in the inset figure in the upper right corner. Meaning of the numbers on the map: (1) Britamil quarry (lithochemistry samples: G1 to G7; J1 to J3; geochronology samples: G1 and J1; see the Figures 4C and 6A in the <a href="#sec4-minerals-15-00265" class="html-sec">Section 4</a>); (2) Britalider quarry (geochronology sample A1; see the Figure 4A,B in the <a href="#sec4-minerals-15-00265" class="html-sec">Section 4</a>); (3) lithochemistry sample location: SM36 L1 and L2 (see the <a href="#minerals-15-00265-f002" class="html-fig">Figure 2</a>A in the <a href="#sec4-minerals-15-00265" class="html-sec">Section 4</a>) and SM41L; (4) lithochemistry sample location: SM39N; (5) lithochemistry sample location: XS37L (see the <a href="#minerals-15-00265-f002" class="html-fig">Figure 2</a>E in the <a href="#sec4-minerals-15-00265" class="html-sec">Section 4</a>). Near key outcrop (see the Figure 6B in the <a href="#sec4-minerals-15-00265" class="html-sec">Section 4</a>); (6) lithochemistry sample location: XS24L (see the Figure 4D in the <a href="#sec4-minerals-15-00265" class="html-sec">Section 4</a>); (7) key outcrop (see the <a href="#minerals-15-00265-f002" class="html-fig">Figure 2</a>B in the <a href="#sec4-minerals-15-00265" class="html-sec">Section 4</a>); (8) key outcrop (see the <a href="#minerals-15-00265-f002" class="html-fig">Figure 2</a>D in the <a href="#sec4-minerals-15-00265" class="html-sec">Section 4</a>); (9) key outcrop (see the <a href="#minerals-15-00265-f002" class="html-fig">Figure 2</a>C in the <a href="#sec4-minerals-15-00265" class="html-sec">Section 4</a>) (Modified from Costa et al. [<a href="#B34-minerals-15-00265" class="html-bibr">34</a>]).</p>
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<p>Migmatite morphologies: (<b>A</b>) patch morphology, characterized by spots of neosome with coarse-grained quartz, feldspar, and amphibole (site 2 in <a href="#minerals-15-00265-f001" class="html-fig">Figure 1</a>); (<b>B</b>) stromatic morphology, defined by parallel layers of neosome within the paleosome. The neosome is segregated into thick leucosome parts (~5 cm) and narrow biotite-bearing melanosome rims (near site 5 in <a href="#minerals-15-00265-f001" class="html-fig">Figure 1</a>); (<b>C</b>,<b>D</b>) stromatic and net morphology, exemplified by interconnected leucosome that surrounds angular to lensoidal fragments of the paleosome and occurs in boudin necks (site 2 in <a href="#minerals-15-00265-f001" class="html-fig">Figure 1</a>); (<b>E</b>,<b>F</b>) large diatexite outcrop, where schollen (So; (<b>E</b>)) and schlieren (Sl; (<b>E</b>,<b>F</b>)) morphologies can be observed (site 5 in <a href="#minerals-15-00265-f001" class="html-fig">Figure 1</a>).</p>
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<p>Paleosome of the migmatites from the Xicrim-Cateté Orthogranulite (<b>A</b>–<b>C</b>) and Xingu Complex (<b>D</b>,<b>E</b>). (<b>A</b>) Banded mafic granulite crosscut by discordant, white, coarse-grained leucosome (near site 3 in <a href="#minerals-15-00265-f001" class="html-fig">Figure 1</a>); (<b>B</b>) image showing the compositional banding and gneissic foliation of the diopside–enstatite orthogneiss (near site 4 in <a href="#minerals-15-00265-f001" class="html-fig">Figure 1</a>); (<b>C</b>) example of the complex geometric relationship between light-colored orthogneiss and dark mafic granulite in the diopside–enstatite orthogneiss (near site 3 in <a href="#minerals-15-00265-f001" class="html-fig">Figure 1</a>); (<b>D</b>) illustration of the spaced foliation in the biotite orthogneiss (near site 5 in <a href="#minerals-15-00265-f001" class="html-fig">Figure 1</a>); (<b>E</b>) image of the tabular compositional banding in the hornblende orthogneiss (site 7 in <a href="#minerals-15-00265-f001" class="html-fig">Figure 1</a>).</p>
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<p>Photomicrographs of the paleosome of the migmatites from the Xicrim-Cateté Orthogranulite (<b>A</b>–<b>D</b>) and Xingu Complex (<b>E</b>–<b>H</b>). (<b>A</b>,<b>B</b>) The images show the polygonal fabric (<b>A</b>) and the rough foliation defined by pargasite crystals in the mafic granulite (<b>B</b>); (<b>C</b>) image of the interlobate fabric of the enstatite–diopside orthogneiss, illustrating the grain orientation that defines the gneissic foliation; (<b>D</b>) combination of a photomicrograph and energy-dispersive X-ray spectroscopy (EDS) ternary compositional map of Ca, Na, and K, showing the xenomorphic K-feldspar crystallized at the boundaries of quartz and plagioclase crystals in the enstatite–diopside orthogneiss; (<b>E</b>) illustration of the gneissic foliation defined by ribbon crystals of quartz, elongate crystals of plagioclase, biotite, and orthoclase in the biotite orthogneiss; (<b>F</b>) images of the xenomorphic crystals of plagioclase (upper) and microcline (lower), crystallized at the corners of orthoclase, plagioclase, and quartz crystals in the biotite orthogneiss; (<b>G</b>) example of the interlobate fabric of the dark band of the hornblende orthogneiss, with emphasis on the cuspate grains of quartz and plagioclase in the middle of hornblende crystals (the crystal on the right contains inclusions of apatite and quartz); (<b>H</b>) image of the polygonal fabric of the light band of the hornblende orthogneiss. Symbols for rock-forming minerals extracted from Warr [<a href="#B61-minerals-15-00265" class="html-bibr">61</a>]. Abbreviations: Ap (apatite); Bt (biotite); Di (diopside); En (enstatite); Ep (epidote); Hbl (hornblende); Kfs (K-feldspar); Mcc (microcline); Or (orthoclase); Pl (plagioclase); Prg (pargasite); Qtz (quartz). Photomicrographs are under cross-polarized transmitted light.</p>
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<p>Neosome of the migmatites from the Xicrim-Cateté Orthogranulite (<b>A</b>,<b>E</b>) and Xingu Complex (<b>B</b>–<b>D</b>,<b>F</b>,<b>G</b>). (<b>A</b>) Example of the coarse-grained leucosome in the gray diopside–enstatite orthogneiss of the Xicrim-Cateté Orthogranulite (site 6 in <a href="#minerals-15-00265-f001" class="html-fig">Figure 1</a>); (<b>B</b>,<b>C</b>) illustration of the white leucosome in the hornblende (<b>B</b>) and biotite (<b>C</b>) orthogneiss of the Xingu Complex (sites 2 and 8, respectively, in <a href="#minerals-15-00265-f001" class="html-fig">Figure 1</a>); (<b>D</b>) image of the coarse-grained pink leucosome injected into a schollen diatexite (site 1 in <a href="#minerals-15-00265-f001" class="html-fig">Figure 1</a>); (<b>E</b>) detail of the biotite-bearing melanosome surrounding the white leucosome in neosome layers of the diopside–enstatite orthogneiss (site 4 in <a href="#minerals-15-00265-f001" class="html-fig">Figure 1</a>); (<b>F</b>) view of the biotite-bearing melanosome observed in a stromatic metatexite (near site 5 in <a href="#minerals-15-00265-f001" class="html-fig">Figure 1</a>); (<b>G</b>) image of the hornblende-bearing melanosome detected in the schlieren diatexite (near site 5 in <a href="#minerals-15-00265-f001" class="html-fig">Figure 1</a>).</p>
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<p>Photomicrographs of the neosome of the migmatites from the Xicrim-Cateté Orthogranulite (<b>A</b>,<b>E</b>) and Xingu Complex (<b>B</b>–<b>D</b>,<b>F</b>–<b>H</b>). (<b>A</b>) Detail of the leucosome layer (<a href="#minerals-15-00265-f004" class="html-fig">Figure 4</a>E) of the diopside–enstatite orthogneiss, showing plagioclase phenocrysts and a micrographic texture; (<b>B</b>,<b>C</b>) images of the leucosome layers showing idiomorphic crystals of plagioclase and microcline (<b>B</b>), and deformation features of large quartz crystals (<b>C</b>) of the white leucosome; (<b>D</b>) example of xenomorphic microcline crystals in the pink leucosome; (<b>E</b>) illustration of the biotite-bearing melanosome in the neosome layer shown in <a href="#minerals-15-00265-f004" class="html-fig">Figure 4</a>E, revealing interstitial quartz, biotite, and magnetite in the corners of plagioclase, as well as intergrowths of biotite and quartz at the boundaries of enstatite; (<b>F</b>) picture of the equigranular biotite-bearing melanosome in the migmatites of the Xingu Complex; (<b>G</b>,<b>H</b>) images of the hornblende-bearing melanosome showing idiomorphic crystals of hornblende being replaced by biotite (<b>G</b>), and the symplectitic texture developed between hornblende and quartz (<b>H</b>). Symbols for rock-forming minerals extracted from Warr [<a href="#B61-minerals-15-00265" class="html-bibr">61</a>]. Abbreviations: Ap (apatite); Bt (biotite); Di (diopside); En (enstatite); Ep (epidote); Hbl (hornblende); Kfs (K-feldspar); Mcc (microcline); Or (orthoclase); Pl (plagioclase); Qtz (quartz). Photomicrographs were taken under cross-polarized light. One-wave quartz plate was used for photomicrograph D.</p>
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<p>Syntectonic granitoids. (<b>A</b>) Image showing the sharp contact between hercynite metadiorite and the Xingu Complex. The metadiorite is crosscut by pink leucosome injections; (<b>B</b>) illustration of the sharp intrusive contact between sheets of blasto-porphyritic metagranodiorite and gray orthogneiss of the Xingu Complex. The zoomed-in image highlights the oriented idiomorphic crystals of K-feldspar; (<b>C</b>) diffuse contact between orthogneiss of Xingu Complex and biotite granite (Schollen Diatexite); (<b>D</b>,<b>E</b>) biotite porphyritic granite pluton with foliated boundaries (<b>D</b>) and an isotropic core (<b>E</b>).</p>
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<p>Microstructure of the hercynite metadiorite (<b>A</b>) and biotite granite (<b>B</b>–<b>E</b>). (<b>A</b>) The image highlights relics of idiomorphic to subidiomorphic plagioclase crystals, surrounded by xenomorphic to subidiomorphic hercynite and hornblende. (<b>B</b>,<b>C</b>) Images illustrating the phenocrysts of orthoclase (<b>A</b>), microcline (<b>B</b>), and plagioclase (<b>C</b>), which define the porphyritic texture of the biotite granite; (<b>D</b>) the picture displays the alignment of idiomorphic grains of orthoclase, biotite, and epidote, as well as the occurrence of interstitial microcline near the boundary of the biotite granite; (<b>E</b>) the image emphasizes the sinuous foliation developed by subidioblastic biotite grains at the granitoid boundary, along with the folded and fractured plagioclase in the upper right and the lobate boundaries between two orthoclase crystals in the upper left. Symbols for rock-forming minerals extracted from Warr [<a href="#B61-minerals-15-00265" class="html-bibr">61</a>]. Abbreviations: Ap (apatite); Bt (biotite); Chl (chlorite); Ep (epidote); Hbl (hornblende); Hc (hercynite); Mcc (microcline); Or (orthoclase); Pl (plagioclase); Qtz (quartz). Photomicrographs taken under transmitted and cross-polarized light.</p>
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<p>(<b>A</b>–<b>E</b>) Granite classification diagrams for white and pink leucosomes and the compiled samples of syntectonic granites. (<b>A</b>) Feldspar triangle of O’Connor [<a href="#B63-minerals-15-00265" class="html-bibr">63</a>]; (<b>B</b>) K-Na-Ca ternary plot with calc-alkaline (CA) and trondhjemitic evolution lines; (<b>C</b>) SiO<sub>2</sub> vs. modified alkali–lime index [<a href="#B64-minerals-15-00265" class="html-bibr">64</a>]; (<b>D</b>) SiO<sub>2</sub> vs. Fe-index [<a href="#B64-minerals-15-00265" class="html-bibr">64</a>]; (<b>E</b>) aluminum saturation index diagram based on Shand [<a href="#B65-minerals-15-00265" class="html-bibr">65</a>]; (<b>F</b>) multi-elementary rare earth element plot.</p>
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<p>(<b>A</b>,<b>B</b>) Log–log vector diagrams with amphibole, biotite, K-feldspar, and plagioclase vectors. (<b>C</b>) Eu/Eu* vs. Yb plot with plagioclase vector. The dashed line marks the limit between positive (Eu/Eu* &gt; 1) and negative (Eu/Eu* &lt; 1) Eu anomaly; (<b>D</b>) Sr/Y vs. Y plot with plagioclase vector.</p>
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<p>CL images of zircon grains of the hercynite metadiorite ((<b>A</b>–<b>C</b>); sample 1H4; site 1 in <a href="#minerals-15-00265-f001" class="html-fig">Figure 1</a>); the white leucosome of schlieren diatexite ((<b>D</b>–<b>F</b>); sample 3A1; site 2 in <a href="#minerals-15-00265-f001" class="html-fig">Figure 1</a>), the white leucosome of schollen diatexite ((<b>G</b>–<b>I</b>); sample 1G1; site 1 in <a href="#minerals-15-00265-f001" class="html-fig">Figure 1</a>); and pink leucosome ((<b>J</b>–<b>L</b>); sample 1J1; site 1 in <a href="#minerals-15-00265-f001" class="html-fig">Figure 1</a>). <sup>207</sup>Pb/<sup>206</sup>Pb ages are indicated at the analyzed spots.</p>
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<p><sup>206</sup>Pb/<sup>238</sup>U vs. <sup>207</sup>Pb/<sup>235</sup>U diagrams of zircons of the rocks analyzed by U–Pb LA-ICP-MS and zircon grains aspect under the magnifier for (<b>A</b>) hercynite metadiorite (sample 1H4; site 1 in <a href="#minerals-15-00265-f001" class="html-fig">Figure 1</a>); (<b>B</b>) white leucosome of a schollen diatexite (sample 3A1; site 1 in <a href="#minerals-15-00265-f001" class="html-fig">Figure 1</a>); (<b>C</b>) white leucosome of a schlieren diatexite (sample 1G1; site 2 in <a href="#minerals-15-00265-f001" class="html-fig">Figure 1</a>); (<b>D</b>) pink leucosome that crosscut a schlieren diatexite (sample 1J1; site 1 in <a href="#minerals-15-00265-f001" class="html-fig">Figure 1</a>).</p>
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