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Keywords = water chemistry

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15 pages, 1277 KiB  
Article
Fast-Neutron Radiolysis of Sub- and Supercritical Water at 300–600 °C and 25 MPa: A Monte Carlo Track Chemistry Simulation Study
by Md Shakhawat Hossen Bhuiyan, Jintana Meesungnoen, Abida Sultana and Jean-Paul Jay-Gerin
Appl. Sci. 2024, 14(16), 7024; https://doi.org/10.3390/app14167024 (registering DOI) - 10 Aug 2024
Viewed by 204
Abstract
(1) Background: Supercritical water-cooled reactors (SCWRs) and their smaller modular variants (SMRs) are part of the ‘Generation IV International Forum’ (GIF) on advanced nuclear energy systems. These reactors operate beyond the critical point of water (tc = 373.95 °C and P [...] Read more.
(1) Background: Supercritical water-cooled reactors (SCWRs) and their smaller modular variants (SMRs) are part of the ‘Generation IV International Forum’ (GIF) on advanced nuclear energy systems. These reactors operate beyond the critical point of water (tc = 373.95 °C and Pc = 22.06 MPa), which introduces specific technical challenges that need to be addressed. The primary concerns involve the effects of intense radiation fields—including fast neutrons, recoil protons/oxygen ions, and γ rays—on the chemistry of the coolant fluid and the integrity of construction materials. (2) Methods: This study employs Monte Carlo simulations of radiation track chemistry to investigate the yields of radiolytic species in SCWRs/SMRs exposed to 2 MeV neutrons. In our calculations, only the contributions from the first three recoil protons with initial energies of 1.264, 0.465, and 0.171 MeV were considered. Our analysis was conducted at both subcritical (300 and 350 °C) and supercritical temperatures (400–600 °C), maintaining a constant pressure of 25 MPa. (3) Results: Our simulations provide insights into the radiolytic formation of chemical species such as eaq, H, H2, OH, and H2O2 from ~1 ps to 1 ms. Compared to data from radiation with low linear energy transfer (LET), the G(eaq) and G(OH) values obtained for fast neutrons show a similar temporal dependence but with smaller amplitude—a result demonstrating the high LET nature of fast neutrons. A notable outcome of our simulations is the marked increase in G(OH) and G(H2), coupled with a corresponding reduction in G(H), observed during the homogeneous chemical stage of radiolysis. This evolution is attributed to the oxidation of water by the H atom according to the reaction H + H2O → OH + H2. This reaction acts as a significant source of H2, potentially reducing the need to add extra hydrogen to the reactor’s coolant water to suppress the net radiolytic production of oxidizing species. Unlike in subcritical water, our simulations also indicate that G(H2O2) remains very low in low-density SCW throughout the interval from ~1 ps to 1 ms, suggesting that H2O2 is less likely to contribute to oxidative stress under these conditions. (4) Conclusions: The results of this study could significantly impact water-chemistry management in the proposed SCWRs and SCW-SMRs, which is crucial for assessing and mitigating the corrosion risks to reactor materials, especially for long-term operation. Full article
(This article belongs to the Section Chemical and Molecular Sciences)
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<p>The SRIM simulation of 1.264, 0.465, and 0.171 MeV recoil protons penetrating SCW at 400 °C and 25 MPa reveals total track lengths (or penetration depths) of ~230, 50.5, and 14.1 μm, respectively. These values were validated by our own Monte Carlo track structure simulations. A significant factor contributing to the observed straggling is the change in the charge state of the protons, due to electron capture and loss, as they move through the water. A total of 100 protons were simulated.</p>
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<p>Time evolution of yields for radiolytic species (e<sup>−</sup><sub>aq</sub>, H<sup>●</sup>, H<sub>2</sub>, <sup>●</sup>OH, and H<sub>2</sub>O<sub>2</sub>) formed during the radiolysis of pure, de-aerated water by 2 MeV neutrons at 300 °C (<b>a</b>), 350 °C (<b>b</b>), 400 °C (<b>c</b>), 500 °C (<b>d</b>), and 600 °C (<b>e</b>) at 25 MPa, calculated from our Monte Carlo track segment (recoil proton) yield simulations over the interval of 1 ps to 1 ms.</p>
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<p>Time evolution of <span class="html-italic">G</span>(e<sup>−</sup><sub>aq</sub>) (<b>a</b>), <span class="html-italic">G</span>(<sup>●</sup>OH) (<b>b</b>), <span class="html-italic">G</span>(H<sup>●</sup>) (<b>c</b>), <span class="html-italic">G</span>(H<sub>2</sub>) (<b>d</b>), and <span class="html-italic">G</span>(H<sub>2</sub>O<sub>2</sub>) (<b>e</b>) during the radiolysis of pure, de-aerated water by 2 MeV neutrons at temperatures of 300 (green lines), 350 (orange lines), 400 (black lines), 500 (red lines), and 600 (blue lines) °C at 25 MPa. These calculations are derived from our Monte Carlo track segment (recoil proton) yield simulations over the interval of 1 ps to 1 ms. The symbols represent experimental data; they are color-coded for clarity to match the curves with which they are associated: (<span style="color:#92D050">!</span><span style="color:#92D050">, green</span>) Elliot [<a href="#B30-applsci-14-07024" class="html-bibr">30</a>], <span style="color:#92D050">(</span><span style="color:#92D050">,</span><span style="color:#92D050">, green) </span>Elliot et al. [<a href="#B47-applsci-14-07024" class="html-bibr">47</a>], <span style="color:#92D050">(</span><span style="color:#92D050">7</span><span style="color:#92D050">, green) </span>Christensen [<a href="#B48-applsci-14-07024" class="html-bibr">48</a>] (recommended mean <span class="html-italic">G</span> values at ~280–300 °C. According to the author, these values are likely accurate within ~25%), and <span style="color:#FFC000">(</span><span style="color:#FFC000">B</span><span style="color:#FFC000">, orange) </span>Elliot and Bartels [<a href="#B13-applsci-14-07024" class="html-bibr">13</a>]. The symbol <span style="color:red">(</span><span style="color:red">Λ</span><span style="color:red">, red) </span>in Panel (<b>a</b>) represents Edwards’ <span class="html-italic">G</span>(e<sup>−</sup><sub>aq</sub>) value of 0.59 molecule/100 eV at 400 °C and 24.8 MPa [<a href="#B49-applsci-14-07024" class="html-bibr">49</a>], positioned at an assumed measurement time of ~3 μs [<a href="#B50-applsci-14-07024" class="html-bibr">50</a>,<a href="#B51-applsci-14-07024" class="html-bibr">51</a>]. Note that all the experimental data at 300 and 350 °C are positioned at the end of the spur/track expansion times, specifically within the range of ~40 to 100 ns [<a href="#B52-applsci-14-07024" class="html-bibr">52</a>]. To our knowledge, no experimental yield values for fast neutrons at 500 and 600 °C have been reported to date.</p>
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<p>Time-dependent extents Δ<span class="html-italic">G</span>(H<sub>2</sub>), expressed in molecules per 100 eV, of the main reactions contributing to the generation and decay of H<sub>2</sub> during the radiolysis of pure, de-aerated water by 2 MeV neutrons at 300 °C (<b>a</b>), 350 °C (<b>b</b>), 400 °C (<b>c</b>), 500 °C (<b>d</b>), and 600 °C (<b>e</b>) at 25 MPa, calculated from our Monte Carlo track segment (recoil proton) simulations over the interval of 1 ps to 1 ms. These outcomes indicate that the production of H<sub>2</sub> is largely driven by the oxidation of water by the H<sup>●</sup> atom at higher temperatures, particularly in SCW.</p>
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23 pages, 3398 KiB  
Article
Hints of Biological Activity of Xerosydryle: Preliminary Evidence on the Early Stages of Seedling Development
by Filippo Geuna, Andrea Pensotti, Raffaele Vecchione and Roberto Germano
Int. J. Mol. Sci. 2024, 25(16), 8717; https://doi.org/10.3390/ijms25168717 (registering DOI) - 9 Aug 2024
Viewed by 282
Abstract
Xerosydryle belongs to a new category of materials resulting from the interaction of water with various hydrophilic polymers. These materials can exhibit different properties depending on the kind of polymer-water interaction. Previous research confirmed the existence of a solid manifestation of water at [...] Read more.
Xerosydryle belongs to a new category of materials resulting from the interaction of water with various hydrophilic polymers. These materials can exhibit different properties depending on the kind of polymer-water interaction. Previous research confirmed the existence of a solid manifestation of water at room temperature. The thermal properties of dissolved xerosydryle in water are similar to those of biological macromolecules during denaturation but with greater stability. This study investigated the biological effect of xerosydryle on a living system for the first time, using a seed germination model. The interaction was evaluated using physiological assays such as chlorophyll shifts, potassium (re)uptake during the onset of germination and a transcriptome approach. Seeds were treated with samples of xerosydryle and distilled water. Transcriptome analysis of germinating seeds highlighted differences (up- and down-regulated genes) between seeds treated with xerosydryle and those treated with distilled water. Overall, the experiments performed indicate that xerosydryle, even at low concentrations, interferes with seedling growth in a manner similar to an osmotic modulator. This work paves the way for a more comprehensive exploration of the active biological role of xerosydryle and similar compounds on living matter and opens up speculation on the interactions at the boundaries between physics, chemistry, and biology. Full article
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<p>Analysis of variance (ANOVA) of seedlings grown in different conditions. Batches of 50 seedlings growing in distilled water (‘H<sub>2</sub>O’), xerosydryle 20 mg/L (‘Xe20’), and xerosydryle 200 mg/L (‘Xe200’) were weighed at 8 days after the onset of germination. Bars indicate the confidence intervals (CI 95%) as standard deviation. ns = not significant; ** = <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Image analysis of chlorophyll accumulation. After scanning 50 seedlings per treatment, an RGB color analysis was performed and the “green” channel was extracted for comparison. Vertical red bars highlight the profile differences between treatments and the shift in the histograms. The x-axis represents the values in the 8-bit scale of “green” levels. The y-axis represents the pixel count.</p>
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<p>Comparative image analysis of chlorophyll accumulation. (<b>A</b>) The “green” channel of the RGB histogram for the three samples is plotted. (<b>B</b>) Point-to-point difference of the “green” channel values between xerosydryle 20 mg/L (grey line) and xerosydryle 200 mg/L (orange line) and water (baseline).</p>
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<p>K measurement at the early stage of germination. (<b>A</b>) Profile of K release and reuptake during the first 24 h of germination. Blue line: H<sub>2</sub>O. Orange line: xerosydryle 20 mg/L. Grey line: xerosydryle 200 mg/L. (<b>B</b>) Data normalization of K<sup>+</sup> concentration of xerosydryle 20 mg/L vs. H<sub>2</sub>O (grey line) and xerosydryle 200 mg/L vs. H<sub>2</sub>O (orange line) (see <a href="#sec4-ijms-25-08717" class="html-sec">Section 4</a>).</p>
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<p>Fold change analysis of transcriptome data. (<b>A</b>) Up- and down-regulated transcripts between xerosydryle 200 mg/L and H<sub>2</sub>O with absolute values of fold change (FC) ≥ 2 and <span class="html-italic">p</span> &lt; 0.05 are shown in yellow and blue, respectively. (<b>B</b>) Volcano plot representation of the fold change data.</p>
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<p>Topographic Atomic Force Microscopy (of perturbed water at 100 nm scale. The false color bar expresses the height in nanometers [<a href="#B60-ijms-25-08717" class="html-bibr">60</a>].</p>
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<p>SEM images at two different magnification values of a lyophilized sample were obtained by perturbing 250 mL of Milli-Q<sup>®</sup> water, repeatedly exposed to raw silk. Bars correspond to (<b>a</b>) 10 μm and (<b>b</b>) 200 nanometers.</p>
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<p>SEM images at two different magnification values of a sample obtained by redispersion in Milli-Q<sup>®</sup> water, deposited on an aluminum stub, and sputter coated with gold. (<b>c</b>) EDX pattern of the same image displaying all the peaks including impurities and metals deriving from stub and metal coating. Bars correspond to (<b>a</b>) 10 μm and (<b>b</b>) 200 nanometers. The X-axis represents the energy while the Y-axis corresponds to counts per second per electron-Volt.</p>
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20 pages, 22829 KiB  
Article
Hydrochemical Evolution Process and Mechanism of Groundwater in the Hutuo River Alluvial Fan, North China
by Junbai Gai, Baizhong Yan, Chengbo Fan, Yapeng Tuo and Miaomiao Ma
Water 2024, 16(16), 2229; https://doi.org/10.3390/w16162229 - 7 Aug 2024
Viewed by 392
Abstract
Due to extensive groundwater exploitation, a groundwater funnel has persisted in the Hutuo River alluvial fan in Shijiazhuang since the 1980s, lasting nearly 40 years and significantly impacting the groundwater chemical characteristics. In this study, based on the groundwater level and chemistry data, [...] Read more.
Due to extensive groundwater exploitation, a groundwater funnel has persisted in the Hutuo River alluvial fan in Shijiazhuang since the 1980s, lasting nearly 40 years and significantly impacting the groundwater chemical characteristics. In this study, based on the groundwater level and chemistry data, the hydrochemical evolution processes and mechanisms of the groundwater during the 1980 groundwater funnel period and the post-2015 artificial governance period were investigated using traditional hydrogeochemical methods and inverse hydrogeochemical simulations. The results show the following: (1) The ion concentrations gradually increased along the groundwater flow path, where they displayed a pattern of lower levels in the northwest and higher levels in the southeast. From 1980 to 2021, the concentrations of major ions were increased. (2) In 1980s, the groundwater hydrochemical type predominantly exhibited HCO3—Ca. From 1980 to 2015, the hydrochemical types diversified into HCO3·Cl—Ca, HCO3—Ca·Mg, and HCO3·SO4—Ca types. Following the artificial governance, the groundwater level rise led to an increase in the concentrations of SO42− and Mg2+. Post-2015, the prevailing hydrochemical type changed to HCO3·SO4—Ca·Mg. (3) The changes in the groundwater level and ion concentrations were quantitatively strongly correlated and exhibited spatial similarity. (4) In the 1980s, the groundwater hydrochemical composition was primarily controlled by the dissolution of albite, dolomite, halite, and quartz; reverse cation exchange; and groundwater exploitation. Since 2015, the hydrochemical composition has mainly been influenced by the dissolution of albite, calcite, and quartz; positive cation exchange; river–groundwater mixing; and industrial activities, with increasing intensities of both water–rock interactions and human activities. Full article
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<p>(<b>a</b>) Distribution of the groundwater and precipitation monitoring points in the study area; (<b>b</b>) hydrogeologic profile along the I–I’ line.</p>
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<p>Groundwater flow fields in 1980, 2015, and 2021.</p>
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<p>(<b>a</b>) Duration curve of groundwater hydrochemical composition; (<b>b</b>) hydrochemical Piper plots of groundwater from 1980 to 2021.</p>
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<p>Spatial distributions of major ions.</p>
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<p>(<b>a</b>,<b>b</b>) Gibbs diagram of groundwater; (<b>c</b>,<b>d</b>) Diagram of relative contribution rate of rock weathering and dissolution.</p>
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<p>Relationship between chloro–alkali index and TDSs.</p>
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<p>(<b>a</b>) Ratio of Na<sup>+</sup> to Cl<sup>−</sup> in groundwater; (<b>b</b>) Ratio of Ca<sup>2+</sup> to HCO<sub>3</sub><sup>−</sup> in groundwater; (<b>c</b>) Ratio of Ca<sup>2+</sup> + Mg<sup>2+</sup> to HCO<sub>3</sub><sup>−</sup> in groundwater; (<b>d</b>) Ratio of Ca<sup>2+</sup> + Mg<sup>2+</sup> to HCO<sub>3</sub><sup>−</sup> + SO<sub>4</sub><sup>2−</sup> in groundwater.</p>
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<p>Comparison between the variation of groundwater level and ion concentration.</p>
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15 pages, 1668 KiB  
Article
Pistia stratiotes L. Biochar for Sorptive Removal of Aqueous Inorganic Nitrogen
by Eunice O. Babatunde, Ranjit Gurav and Sangchul S. Hwang
Materials 2024, 17(15), 3858; https://doi.org/10.3390/ma17153858 - 4 Aug 2024
Viewed by 365
Abstract
Biochar has proven effective in the remediation of excess nitrogen from soil and water. Excess nitrogen from agricultural fields ends up in aquatic systems and leads to reduced water quality and the proliferation of invasive species. This study aimed to assess the efficiency [...] Read more.
Biochar has proven effective in the remediation of excess nitrogen from soil and water. Excess nitrogen from agricultural fields ends up in aquatic systems and leads to reduced water quality and the proliferation of invasive species. This study aimed to assess the efficiency of chemically surface-modified biochar produced from invasive Pistia stratiotes L. for the adsorption of inorganic nitrogen (NH4+ and NO3). Biochar structure was investigated using scanning electron microscopy, energy-dispersive X-ray analysis, X-ray photoelectron spectroscopy, Fourier-transform infrared spectroscopy, and inductively coupled plasma mass spectrometry. The results from adsorption experiments indicate that NH4+ removal was optimal (0.8–1.3 mg N g−1) at near-neutral pH levels (6.0–7.5), while NO3 removal was optimal (0.4–0.8 mg N g−1) under acidic pH conditions (4.8–6.5) using the modified biochar. These findings highlight the significance of solution pH, biochar morphology, and surface chemistry in influencing the adsorption of NH4+ and NO3. However, further studies are necessary to assess the potential oxidative transformation of NH4+ to NO3 by biochar, which might have contributed to the reduction in NH4+ in the aqueous phase. Full article
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<p>SEM Images of (<b>a</b>) unmodified BC and (<b>b</b>) and modified BC.</p>
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<p>XPS survey scans of (<b>a</b>) unmodified BC and (<b>b</b>) modified BC after sorption study and deconvoluted nitrogen chemical state peaks for (<b>c</b>) unmodified BC and (<b>d</b>) modified BC after sorption study.</p>
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<p>FTIR spectra of <span class="html-italic">Pistia stratiotes</span> biomass, unmodified BC, modified BC, and modified BC after sorption experiments.</p>
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<p>(<b>a</b>) Sorbed amount of NH<sub>4</sub><sup>+</sup> and NO<sub>3</sub><sup>−</sup> on modified BC after 24 h at different reaction pH values and (<b>b</b>) concentration of NH<sub>4</sub><sup>+</sup> and NO<sub>3</sub><sup>−</sup> before and after adsorption when NH<sub>4</sub>NO<sub>3</sub> concentration is varied.</p>
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22 pages, 2353 KiB  
Article
Finding Isolated Aquatic Habitat: Can Beggars Be Choosers?
by Danielle M. Husband and Nancy E. McIntyre
Diversity 2024, 16(8), 468; https://doi.org/10.3390/d16080468 - 3 Aug 2024
Viewed by 572
Abstract
In a two-year field study across 58 isolated wetlands in Texas (USA), we examined whether odonate (Insecta: Odonata) assemblages were structured by local environmental filters or instead simply reflected the use of any available water in this semi-arid region. Cluster analysis resolved three [...] Read more.
In a two-year field study across 58 isolated wetlands in Texas (USA), we examined whether odonate (Insecta: Odonata) assemblages were structured by local environmental filters or instead simply reflected the use of any available water in this semi-arid region. Cluster analysis resolved three wetland groupings based on environmental characteristics (hydroperiod, water chemistry, vegetation); 37 odonate species were detected at these wetlands. The most speciose assemblages occurred at wetlands with longer hydroperiods; these sites also had the most species found at no other wetland type. Ordination plots indicated some filtering with respect to the hydroperiod, but there was only mixed or weak support with respect to other local factors. Because water persistence was the strongest driver maintaining odonate diversity in this region, regardless of water quality or vegetation, beggars cannot be choosers in this system and conservation efforts can focus on water maintenance or supplementation. Full article
(This article belongs to the Special Issue Diversity in 2024)
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<p>Aerial map (Google Earth 7.3 Texas Panhandle 33°32′32″ N, 102°09′33″ W, elevation 1005 m, <a href="https://earth.google.com/web/@33.42437931,-102.0005347,1026.76427193a,96344.70435334d,35y,0h,0t,0r/data=OgMKATA" target="_blank">https://earth.google.com/web/@33.42437931,-102.0005347,1026.76427193a,96344.70435334d,35y,0h,0t,0r/data=OgMKATA</a> (accessed 7 May 2024)) and photos of some of the wetlands of the Southern Great Plains: (<b>a</b>) playa, (<b>b</b>) urban playa lake, (<b>c</b>) salina, (<b>d</b>) salina without an active spring. Notice the variation in vegetation present at each wetland. The grey and white area at top centre of the aerial map is the city of Lubbock, Texas. The large wetlands at lower centre are salinas. Irrigated agriculture is evident as circular areas (centre-pivot irrigation). Fallow fields are tan. Grazed and ungrazed grasslands are greenish-grey.</p>
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<p>Locations of the wetlands we surveyed in Texas. Symbols oversized for visualisation.</p>
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<p>Species accumulation curves of species observed at five-minute intervals at each of two locations separated by at least 50 m at four of our most speciose wetlands. Cluster analysis indicated that the wetlands we surveyed fell into three non-overlapping groups, with 9–22 wetlands per cluster (<a href="#diversity-16-00468-f004" class="html-fig">Figure 4</a>). The wetland clusters parsed out based on environment but not according to grouping terms such as “playas”, “salinas”, or “urban playa lakes” (see summary descriptions in <a href="#diversity-16-00468-t002" class="html-table">Table 2</a>). Thus, although such grouping terms may be useful in indicating some similarities in physical characteristics, they do not do an adequate job of indicating just how variable the wetlands of the Southern High Plains are. Two of the clusters were primarily comprised of long-hydroperiod wetland that differed in water chemistry, particularly with respect to salinity, pH, phosphate, sulphate, and nitrate (<a href="#diversity-16-00468-t002" class="html-table">Table 2</a>). These findings were corroborated by PCA, which determined that at least three components were needed to explain at least 50% of the variation in the wetland data; the first three principal components explained 64.5% of the variation in the data (<a href="#app1-diversity-16-00468" class="html-app">Figures S1 and S2</a>). PC1 was strongly positively associated with vegetation, phosphate, and turbidity and negatively with salinity, nitrite, and sulphate. PC2 was strongly positively associated with turbidity and negatively with vegetation and phosphate. Finally, PC3 was associated positively with nitrate, sulphate, and phosphate, and negatively with turbidity and salinity (<a href="#app1-diversity-16-00468" class="html-app">Figures S3–S5</a>).</p>
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<p>Results of <span class="html-italic">k</span>-means cluster analysis to identify the optimal number of non-overlapping wetland clusters, based on environmental variables. Results for <span class="html-italic">k</span> = 2–5 are shown. Wetlands grouped into three non-overlapping clusters (<span class="html-italic">k</span> = 3).</p>
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<p>Venn diagram of species by wetland clusters. Four-letter species codes: ANJU = <span class="html-italic">Anax junius</span>, BRGR = <span class="html-italic">Brachymesia gravida</span>, CEPO = <span class="html-italic">Celithemis eponina</span>, DYFU = <span class="html-italic">Dythemis fugax</span>, ERSI = <span class="html-italic">Erythemis simplicicollis</span>, LICP = <span class="html-italic">Libellula composita</span>, LICM = <span class="html-italic">Libellula comanche</span>, LIPU = <span class="html-italic">Libellula pulchella</span>, LISA = <span class="html-italic">Libellula saturata</span>, ORFE = <span class="html-italic">Orthemis ferruginea</span>, PALO = <span class="html-italic">Pachydiplax longipennis</span>, PAFL = <span class="html-italic">Pantala flavescens</span>, PAHY = <span class="html-italic">Pantala hymenaea</span>, PETE = <span class="html-italic">Perithemis tenera</span>, PHMI = <span class="html-italic">Phanogomphus militaris</span>, PLLY = <span class="html-italic">Plathemis lydia</span>, PLSU = <span class="html-italic">Plathemis subornata</span>, RHMU = <span class="html-italic">Rhionaeschna multicolor</span>, SYCO = <span class="html-italic">Sympetrum corruptum</span>, TESA = <span class="html-italic">Telebasis salva</span>, TRLA = <span class="html-italic">Tramea lacerata</span>, TRON = <span class="html-italic">Tramea onusta</span>, ARAL = <span class="html-italic">Argia alberta</span>, ARIM = <span class="html-italic">Argia immunda</span>, ARSE = <span class="html-italic">Argia sedula</span>, ENCI = <span class="html-italic">Enallagma civile</span>, HEAM = <span class="html-italic">Hetaerina americana</span>, ISBA = <span class="html-italic">Ischnura barberi</span>, ISDA = <span class="html-italic">Ischnura damula</span>, ISDE = <span class="html-italic">Ischnura denticollis</span>, ISRA = <span class="html-italic">Ischnura ramburii</span>, ISVE = <span class="html-italic">Ischnura verticalis</span>, LEAL = <span class="html-italic">Lestes alacer</span>, LEAU = <span class="html-italic">Lestes australis</span>.</p>
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<p>Redundancy analysis results with respect to wetland hydroperiod and the two statistically significant numeric variables, categorised into relatively low, medium, and high values via Jenks Natural Breaks (for vegetation, “bare” = low, “some” = medium, “vegetated” = high). Each dot represents a wetland’s odonate assemblage.</p>
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14 pages, 3452 KiB  
Article
Influence of Pore Water Chemistry on Particle Association and Physical Properties of Lime-Treated Bentonite
by Enza Vitale, Dimitri Deneele and Giacomo Russo
Minerals 2024, 14(8), 795; https://doi.org/10.3390/min14080795 - 2 Aug 2024
Viewed by 236
Abstract
In the present work, an investigation on the influence of the chemical environment on the sedimentation behaviour of bentonite suspensions is performed with particular reference to the effect of lime addition on the clay particle arrangement. The role of lime content, cation valence [...] Read more.
In the present work, an investigation on the influence of the chemical environment on the sedimentation behaviour of bentonite suspensions is performed with particular reference to the effect of lime addition on the clay particle arrangement. The role of lime content, cation valence and source of calcium ions is considered in the experimental work. At the microscale, particle interaction is analysed by means of zeta potential measurements. Soil fabric formation during sedimentation and its physical properties are inferred from dynamic light scattering measurements, sedimentation tests and Atterberg limits. The addition of cations to pore water promotes the flocculation of montmorillonite particles favouring the formation of particle aggregates, whose dimension depends on ion valence and concentration. The final height of sediments reflects the combined effect of the mutual interactions among particles and the development of secondary phases due to pozzolanic reactions. The influence of clay mineralogy and its effects on the physical properties of lime-treated bentonite is highlighted by comparison with experimental evidence on lime-treated kaolin. Full article
(This article belongs to the Section Clays and Engineered Mineral Materials)
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<p>Effect of lime content on sedimentation behaviour of suspensions (<b>a</b>) settling of flocculated system; (<b>b</b>) settling of dispersed system (adapted from Vitale et al., 2016 [<a href="#B15-minerals-14-00795" class="html-bibr">15</a>]).</p>
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<p>Different sedimentation stages for suspensions (adapted from Vitale et al., 2016 [<a href="#B15-minerals-14-00795" class="html-bibr">15</a>]).</p>
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<p>X-ray diffraction patterns: (<b>a</b>) bentonite; (<b>b</b>) bentonite—clay fraction (&lt;2 μm).</p>
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<p>Time evolution of suspension height during the sedimentation test.</p>
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<p>Effect of lime content on sedimentation behaviour of bentonite suspensions.</p>
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<p>Sedimentation curves at increasing lime content—early stages of settling.</p>
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<p>Effect of cation valence on the sedimentation behaviour.</p>
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<p>Sedimentation curves as function of cation valence—early stages of settling.</p>
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<p>Effect of calcium ion source on the sedimentation behaviour of bentonite suspensions.</p>
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<p>Effect of calcium ion source on the sedimentation behaviour—early stage of settling.</p>
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<p>Evolution of the average floc size of bentonite suspensions under different chemical environments.</p>
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<p>Zeta potential of bentonite suspensions as function of pH.</p>
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<p>Specific surface area (As) of bentonite-treated samples as function of lime content after 24 h of curing.</p>
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<p>Evolution of plasticity properties of lime-treated bentonite and kaolin after 24 h of curing as function of CaO content: (<b>a</b>) liquid limit (LL); (<b>b</b>) plastic limit (PL); (<b>c</b>) plasticity index (IP).</p>
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18 pages, 5242 KiB  
Article
The Contributions of Tectonics, Hydrochemistry and Stable Isotopes to the Water Resource Management of a Thermal–Mineral Aquifer: The Case Study of Kyllini, Northwest Peloponnese
by Vasiliki Stavropoulou, Anastasia Pyrgaki, Eleni Zagana, Christos Pouliaris and Nerantzis Kazakis
Geosciences 2024, 14(8), 205; https://doi.org/10.3390/geosciences14080205 - 2 Aug 2024
Viewed by 846
Abstract
This study aims to investigate the intricate relationship between geological structures, water chemistry, and isotopic composition in order to gain a deeper understanding of the origins and recharge mechanisms of thermal–mineral waters in the Kyllini region. The research integrates tectonic analysis, hydrochemical data, [...] Read more.
This study aims to investigate the intricate relationship between geological structures, water chemistry, and isotopic composition in order to gain a deeper understanding of the origins and recharge mechanisms of thermal–mineral waters in the Kyllini region. The research integrates tectonic analysis, hydrochemical data, and stable isotope measurements to delineate recharge zones and trace the origin of these unique water sources. The methods used for delineation are the geological and tectonic study of the area, as well as hydrochemical and isotopic data analysis. The findings highlight that tectonic activity creates preferential flow paths and consequently influences the hydrogeological framework, facilitating deep circulation and the upwelling of thermal waters. Monthly analyses of groundwater samples from the Kyllini thermal spring were conducted over one hydrological year (2019–2020) and compared with data from the area collected in 2009. The hydrochemical profiles of major and minor ions reveal distinct signatures corresponding to various water–rock interactions, while stable isotope analysis provides insights into the climatic conditions and altitudes of recharge areas. Hydrochemical analyses reveal the composition of thermal–mineral waters, aiding in the identification of potential sources and their evolution. The conceptualization of Kyllini contributes to the deeper understanding of the intricate interplay between tectonics, hydrochemistry, and stable isotopes. During a hydrological year, the water type of Kyllini’s spring groundwater remains the same (Na-Cl-HCO3), presenting only slight alterations. Full article
(This article belongs to the Section Hydrogeology)
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<p>Geological map of the broader area.</p>
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<p>Geological cross section of the broader area (modified by EAGME).</p>
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<p>(<b>a</b>) Piper diagram and scatter plots of (<b>b</b>) Cl-Na, (<b>c</b>) Cl-Ca, (<b>d</b>) Cl-SO<sub>4</sub>, and (<b>e</b>) Cl-Mg/Ca. The black lines represent the concentration–dilution line of seawater.</p>
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<p>(<b>a</b>) Shoeller diagram of samples. Fresh waters are depicted with blue and green color lines and thermo-mineral waters with red, pink, and maroon color lines and scatter plots; (<b>b</b>) B-Cl; (<b>c</b>) T(wa)-Li (T(wa) is temperature of water).</p>
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<p>Radial diagram showing spatial trends in water composition (major anions and cations) of Kyllini Spring water in (<b>a</b>) 2009 and (<b>b</b>) 2020.</p>
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<p>(<b>a</b>) Diagram of stable isotopes d<sup>18</sup>O (‰) and dD (‰) with Global Meteoric Water Line and Eastern Mediterranean Meteoric Water Line and (<b>b</b>) diagram of altitude (m) and d<sup>18</sup>O (‰) of water samples.</p>
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<p>Frequency of saturation indices of (<b>a</b>) quartz, (<b>b</b>) calcite, (<b>c</b>) dolomite, and (<b>d</b>) barite.</p>
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23 pages, 4546 KiB  
Article
Enhanced Dye Adsorption on Cold Plasma-Oxidized Multi-Walled Carbon Nanotubes: A Comparative Study
by Anastasia Skourti, Stefania Giannoulia, Maria K. Daletou and Christos A. Aggelopoulos
Nanomaterials 2024, 14(15), 1298; https://doi.org/10.3390/nano14151298 - 1 Aug 2024
Viewed by 428
Abstract
The oxidation of multi-walled carbon nanotubes (MWCNTs) using cold plasma was investigated for their subsequent use as adsorbents for the removal of dyes from aqueous solutions. The properties of MWCNTs after plasma modification and their adsorption capacities were compared with pristine and chemically [...] Read more.
The oxidation of multi-walled carbon nanotubes (MWCNTs) using cold plasma was investigated for their subsequent use as adsorbents for the removal of dyes from aqueous solutions. The properties of MWCNTs after plasma modification and their adsorption capacities were compared with pristine and chemically oxidized nanotubes. The modification process employed a reactor where plasma was generated through dielectric barrier discharges (DBD) powered by high-voltage nanosecond pulses. Various modification conditions were examined, such as processing time and pulse voltage amplitude. The degree of oxidation and the impact on the chemistry and structure of the nanotubes was investigated through various physicochemical and morphological characterization techniques (XPS, BET, TEM, etc.). Maximum oxidation (O/C = 0.09 from O/C = 0.02 for pristine MWCNTs) was achieved after 60 min of nanopulsed-DBD plasma treatment. Subsequently, the modified nanotubes were used as adsorbents for the removal of the dye methylene blue (MB) from water. The adsorption experiments examined the effects of contact time between the adsorbent and MB, as well as the initial dye concentration in water. The plasma-modified nanotubes exhibited high MB removal efficiency, with adsorption capacity proportional to the degree of oxidation. Notably, their adsorption capacity significantly increased compared to both pristine and chemically oxidized MWCNTs (~54% and ~9%, respectively). Finally, the kinetics and mechanism of the adsorption process were studied, with experimental data fitting well to the pseudo-second-order kinetic model and the Langmuir isotherm model. This study underscores the potential of plasma technology as a low-cost and environmentally friendly approach for material modification and water purification. Full article
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<p>(<b>a</b>) Schematic representation of the experimental plasma setup used for the oxidation of MWCNTs and (<b>b</b>) details of the plate-to-plate DBD reactor.</p>
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<p>C 1s deconvoluted XPS spectra of pristine, chemically oxidized, and two representative plasma-oxidized MWCNTs samples.</p>
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<p>O 1s deconvoluted XPS spectra of pristine, chemically oxidized, and plasma-oxidized MWCNTs.</p>
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<p>Percentage of surface oxygen atoms of the two main oxygen-containing groups, as derived from the deconvolution of the corresponding O 1s XPS spectra. Samples were treated with plasma at 23 kV (dotted lines) or 31 kV (solid lines). The points at time 0 min correspond to the respective percentages of pristine or chemically treated MWCNTs.</p>
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<p>Selected TEM images of (<b>a</b>) pristine MWCNTs, (<b>b</b>) chemically oxidized MWCNTs, (<b>c</b>) Pl 31_20, and (<b>d</b>) Pl 31_60.</p>
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<p>Pore size distributions of pristine, chemically modified, and plasma-modified (Pl31_20 and Pl 31_60) MWCNTs.</p>
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<p>Thermogravimetric analysis under nitrogen atmosphere of pristine, chemically treated, and plasma-treated MWCNTs.</p>
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<p>Effect of pH on zeta potential of pristine, chemically treated, and plasma-treated nanotubes.</p>
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<p>Removal efficiency of MB through adsorption as a function of adsorption time for (<b>a</b>) various plasma-treated samples and (<b>b</b>) pristine, chemically oxidized, and plasma-oxidized (Pl 31_60) MWCNTs. (<b>c</b>) Adsorption capacity (<span class="html-italic">q<sub>t</sub></span>) of pristine, chemically, and Pl 31_60 MWCNTs as a function of time (<span class="html-italic">t</span>) (initial MB concentration: 40 mg/L).</p>
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<p>Removal efficiency of MB as a function of the percentage of surface oxygen in the plasma-modified samples for adsorption time: (<b>a</b>) 10 min and (<b>b</b>) 2 h. In all cases, the initial MB concentration was 40 mg/L. The corresponding values of Chem. MWCNTs are also presented.</p>
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<p>Removal efficiency of MB through adsorption as a function of initial pollutant concentration for (<b>a</b>) various plasma-treated samples and (<b>b</b>) pristine, chemically oxidized, and plasma-oxidized (Pl 31_60) MWCNTs. (<b>c</b>) The amount of MB adsorbed at equilibrium (<span class="html-italic">q<sub>e</sub></span>) onto pristine, chemically and Pl 31_60 MWCNTs (adsorption time: 24 h).</p>
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<p>Plots of (<b>a</b>) pseudo-first-order model and (<b>b</b>) pseudo-second-order model for pristine, chemically oxidized, and plasma-oxidized (Pl 31_60) MWCNTs.</p>
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<p>Plots of (<b>a</b>) Langmuir model and (<b>b</b>) Freundlich model for pristine, chemically oxidized, and plasma-oxidized (Pl 31_60) MWCNTs.</p>
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48 pages, 21855 KiB  
Review
Arsenic in Water: Understanding the Chemistry, Health Implications, Quantification and Removal Strategies
by Muhammad Murtaza Chaudhary, Saqib Hussain, Chenyu Du, Barbara R. Conway and Muhammad Usman Ghori
ChemEngineering 2024, 8(4), 78; https://doi.org/10.3390/chemengineering8040078 - 1 Aug 2024
Viewed by 1087
Abstract
Arsenic, the 20th most common element in Earth’s crust and historically regarded as the King of Poisons, occurs naturally in two oxidation states, Arsenate (V) and Arsenite (III), and is prevalent worldwide through natural and anthropogenic means. The cations of the metalloid exhibit [...] Read more.
Arsenic, the 20th most common element in Earth’s crust and historically regarded as the King of Poisons, occurs naturally in two oxidation states, Arsenate (V) and Arsenite (III), and is prevalent worldwide through natural and anthropogenic means. The cations of the metalloid exhibit unique chemical behaviour in water and are found to be components of approximately 245 natural minerals, making its occurrence in drinking water a compelling challenge, especially in groundwater. This comprehensive review collates information regarding the prevalence of arsenic contamination in water worldwide and its impact on human health, its chemical behaviour, methods for detection and quantification, and treatment strategies. A comprehensive search was conducted, and the selection of eligible studies was carried out using the PRISMA (the preferred reporting items for systematic reviews and meta-analyses) guidelines. Essential characteristics of eligible research studies were extracted based on geographical areas, origins, concentration levels and the magnitude of populations vulnerable to arsenic contamination in groundwater sources. Arsenic contamination of water affects over 100 countries including Canada, the United States, Pakistan, China, India, Brazil and Bangladesh, where hydrogeological conditions favour prevalence and groundwater is the primary water source for food preparation, irrigation of food crops and drinking water. This leads to human exposure through absorption, ingestion and inhalation, causing numerous health disorders affecting nearly all systems within the human body, with acute and chronic toxicity including cancers. The presence of arsenic in water poses a considerable challenge to humanity, prompting scientists to devise diverse mitigation approaches categorized as (a) oxidation processes, (b) precipitation methods, (c) membrane technologies, (d) adsorption and ion exchange methods, and (e) social interventions. This comprehensive review is expected to be a valuable source for professionals in the water industry, public management, and policymaking, aiding their ongoing and future research and development efforts. Full article
(This article belongs to the Special Issue Feature Papers in Chemical Engineering)
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<p>Chemical mapped risk assessment of arsenic in drinking water/global probability map of arsenic contamination under different hydrogeological conditions in groundwater, (<b>a</b>) reducing groundwater conditions, and (<b>b</b>) high pH/oxidizing conditions, adapted with permission from [<a href="#B14-ChemEngineering-08-00078" class="html-bibr">14</a>], publisher ACS Publications.</p>
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<p>Eh–pH diagram of [As]–H<sub>2</sub>O at 1 ATM pressure and 25 °C temperature, adapted with permission from [<a href="#B9-ChemEngineering-08-00078" class="html-bibr">9</a>], published by WHO.</p>
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<p>Distribution of speciation of arsenite, arsenate and organic arsenical in NaCl as a function of pH under experimental conditions (temperature: 25 °C, pressure: 1 ATM). Reproduced with permission from [<a href="#B10-ChemEngineering-08-00078" class="html-bibr">10</a>], publisher Elsevier B.V.</p>
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<p>The figure depicts the human body systems affected by health implications from As absorption and accumulation.</p>
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<p>Chronic and acute [As]-poisoning-implicated diseases, adapted with permission from [<a href="#B101-ChemEngineering-08-00078" class="html-bibr">101</a>], publisher Springer-Verlag GmbH Germany.</p>
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<p>Overview of As removal strategies from water.</p>
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<p>Illustration describing the coagulation, flocculation and sedimentation of As in water, adapted with permission from [<a href="#B206-ChemEngineering-08-00078" class="html-bibr">206</a>], publisher ACS Publications.</p>
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<p>Pore size classification of different membrane technologies with characteristic dimensions of various foulants, adapted with permission from [<a href="#B233-ChemEngineering-08-00078" class="html-bibr">233</a>], publisher MDPI Publications.</p>
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<p>Schematic describing the adsorption process, adapted with permission from [<a href="#B253-ChemEngineering-08-00078" class="html-bibr">253</a>], publisher MDPI Publications.</p>
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<p>Classification of sorbents adapted with permission from [<a href="#B269-ChemEngineering-08-00078" class="html-bibr">269</a>], publisher MDPI. ZVI = zero valent ion; LDH = layered double hydroxides and GFH = granular ferric hydroxide.</p>
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15 pages, 801 KiB  
Review
Cloud Point Extraction in Beverage Analysis: Innovations and Applications for Trace Elements
by Ingrid Hagarová and Martin Urík
Beverages 2024, 10(3), 67; https://doi.org/10.3390/beverages10030067 - 1 Aug 2024
Viewed by 335
Abstract
Cloud point extraction (CPE) has emerged as a highly promising method for the isolation and preconcentration of trace elements from beverages. By utilizing nonionic surfactants to form micellar structures that encapsulate analytes, CPE significantly enhances extraction efficiency and detection limits, often achieving improvements [...] Read more.
Cloud point extraction (CPE) has emerged as a highly promising method for the isolation and preconcentration of trace elements from beverages. By utilizing nonionic surfactants to form micellar structures that encapsulate analytes, CPE significantly enhances extraction efficiency and detection limits, often achieving improvements by several orders of magnitude. The optimization of CPE conditions, particularly the selection of surfactants and complexing agents, plays a crucial role in ensuring accurate analytical results. This review underscores the integration of CPE with spectrometric methods as a powerful approach for the separation, preconcentration, and quantification of numerous (ultra)trace elements across a wide range of beverages, including drinking water, wine, beer, juices, tea, and milk. The analytical potential of this integration is substantiated by the comprehensive examples listed in this paper, which include various strategies for sample preparation tailored specifically for different beverage types. While highlighting the effectiveness of conventional CPE methods, this review also emphasizes recent modifications and advancements in CPE techniques that further enhance their utility in beverage analysis. These advancements not only improve detection sensitivity but also align with the principles of green chemistry by reducing solvent consumption and energy requirements. Full article
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<p>Schematic illustration of the cloud point extraction steps for the separation and preconcentration of trace elements, using Cu(II) as a model analyte.</p>
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15 pages, 2271 KiB  
Article
Lipid-Based Catalysis Demonstrated by Bilayer-Enabled Ester Hydrolysis
by Shu Liu, Kiran Kumar, Tracey Bell, Ayyalusamy Ramamoorthy, David Van Winkle and Steven Lenhert
Membranes 2024, 14(8), 168; https://doi.org/10.3390/membranes14080168 - 30 Jul 2024
Viewed by 448
Abstract
Lipids have not traditionally been considered likely candidates for catalyzing reactions in biological systems. However, there is significant evidence that aggregates of amphiphilic compounds are capable of catalyzing reactions in synthetic organic chemistry. Here, we demonstrate the potential for the hydrophobic region of [...] Read more.
Lipids have not traditionally been considered likely candidates for catalyzing reactions in biological systems. However, there is significant evidence that aggregates of amphiphilic compounds are capable of catalyzing reactions in synthetic organic chemistry. Here, we demonstrate the potential for the hydrophobic region of a lipid bilayer to provide an environment suitable for catalysis by means of a lipid aggregate capable of speeding up a chemical reaction. By bringing organic molecules into the nonpolar or hydrophobic region of a lipid bilayer, reactions can be catalyzed by individual or collections of small, nonpolar, or amphiphilic molecules. We demonstrate this concept by the ester hydrolysis of calcein-AM to produce a fluorescent product, which is a widely used assay for esterase activity in cells. The reaction was first carried out in a two-phase octanol–water system, with the organic phase containing the cationic amphiphiles cetyltrimethylammonium bromide (CTAB) or octadecylamine. The octanol phase was then replaced with phospholipid vesicles in water, where the reaction was also found to be carried out. The reaction was monitored using quantitative fluorescence, which revealed catalytic turnover numbers on a scale of 107 to 108 s−1 for each system, which is much slower than enzymatic catalysis. The reaction product was characterized by 1H-NMR measurements, which were consistent with ester hydrolysis. The implications of thinking about lipids and lipid aggregates as catalytic entities are discussed in the context of biochemistry, pharmacology, and synthetic biology. Full article
(This article belongs to the Section Membrane Fabrication and Characterization)
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<p>Schematic showing the materials used in this study and the setups to demonstrate the hydrolysis of calcein AM: (<b>a</b>) Chemical structure of calcein AM, calcein, octadecylamine (ODA), dioleoylphosphatidylcholine (DOPC), and octanol. (<b>b</b>) Schematics of ester hydrolysis of calcein AM in a two-phase octanol–water system (<b>left</b>) and in the bilayer of a lipid vesicle (<b>right</b>). (<b>c</b>) Schematic illustration of a flow cell setup used to observe the reaction.</p>
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<p>Octanol droplets containing ODA become fluorescent when exposed to aqueous calcein AM: (<b>a</b>) Images of ODA/octanol droplets at t = 0 min and t = 60 min under red and green filters and merged channels. (<b>b</b>) A plot of average green intensity along with time within the droplets. (<b>c</b>) A plot of average green over red along with time within the droplet. (<b>d</b>) Calibration of calcein fluorescence in water detected on a fluorescence microscope. <b>Top</b>: images of different concertation of aqueous calcein. <b>Bottom</b>: a plot of average fluorescence intensity of 16 pixels in the center of the droplet.</p>
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<p>Octanol droplets containing 60 mM CTAB or CTAC become fluorescent when exposed to aqueous calcein AM: (<b>a</b>) Images of CTAB and CTAC/octanol droplets at t = 0 min and t = 60 min under green filters. (<b>b</b>) A plot of average green intensity along with time within the droplets.</p>
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<p>Phospholipid multilayers containing octadecylamine fluoresce when exposed to aqueous calcein AM: (<b>a</b>) Images of ODA/DOPC droplets at t = 0 min and t = 60 min under red and green filters and merged channels. (<b>b</b>) A plot of average green/red intensity along with time within the droplets. (<b>c</b>) A plot of fluorescence intensity with thickness within the droplet.</p>
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<p>Lipid vesicle solution-based ester hydrolysis: (<b>a</b>) Fluorescence intensity along with time for different concentrations of octadecylamine in DOPC vesicles. (<b>b</b>) Calculated max fluorescence changing rate with different concentrations of octadecylamine to obtain the catalytic turnover number with linear fitting. (<b>c</b>) Calibration of a plate reader with different concentrations of calcein in 96 well plates. (<b>d</b>) Fluorescence intensity along with time for ODA vesicles solution with/without DOPC.</p>
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<p><sup>1</sup>H NMR spectra and assignments of calcein molecules: (<b>a</b>) 500 µM calcein-A, (<b>b</b>) 100 µM calcein AM incubated with 3.2 mM DOPC and 1.85 mM ODA, (<b>c</b>) 100 µM calcein AM, and (<b>d</b>) 3.2 mM DOPC and 1.85 mM ODA. All samples were dissolved in deuterated DMSO-d6 solvent, and experiments were performed at 25 °C using a 600 MHz NMR spectrometer (full spectra are provided in <a href="#app1-membranes-14-00168" class="html-app">Figure S3</a>). Assigned protons are numbered and * denotes impurities.</p>
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18 pages, 2104 KiB  
Article
Virtual Screening of Fluorescent Heterocyclic Molecules and Advanced Oxidation Degradation of Rhodamine B in Synthetic Solutions
by Gabriela Vizuete, Fabián Santana-Romo and Cristina E. Almeida-Naranjo
Water 2024, 16(15), 2141; https://doi.org/10.3390/w16152141 - 29 Jul 2024
Viewed by 400
Abstract
A virtual screening, a process based on computational chemistry that involves the rapid evaluation of a large number of compounds to identify those with the most promising characteristics, is presented. This screening found concordance in the fluorescent heterocyclic compounds with isosteres of similar [...] Read more.
A virtual screening, a process based on computational chemistry that involves the rapid evaluation of a large number of compounds to identify those with the most promising characteristics, is presented. This screening found concordance in the fluorescent heterocyclic compounds with isosteres of similar reactivity, determining that rhodamine B (RhB) meets the necessary criteria for its use. Furthermore, with the values calculated in silico, it is considered to be a compound with low adsorption and oral bioavailability, so its degradation was evaluated by advanced oxidation processes (POAs), such as the catalytic process with titanium dioxide (TiO2), hydrogen peroxide (H2O2), and presence or absence of dissolved oxygen (O2), in which the concentration of RhB and amount of TiO2 were varied, and the photo-Fenton process with an ultraviolet light emitting diode (UV-LED), zero-valent iron (ZVI) and H2O2, in which the amount of ZVI and H2O2 were varied. The results indicate that the catalytic process achieves a removal of 95.11% compared to 80.42% in the photo-Fenton process, concluding that the greater the amount of ZVI in the solution, the greater the degradation of RhB and that the residual amount of iron (II) (Fe2+) ions in the solution is less than 0.3 mg/L without causing secondary contamination. These results highlight the efficacy and feasibility of POAs for the removal of dyes such as RhB, which offers a promising solution for the remediation of contaminated waters. Full article
(This article belongs to the Special Issue Advanced Technologies for Wastewater Treatment and Water Reuse)
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<p>Initial computational hypothesis—2D structure of xanthene.</p>
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<p>Library of fluorescent heterocyclic molecules <b>2</b>–<b>18</b>. In blue, the common core for heterocyclic compounds.</p>
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<p>Isostere of molecule <b>9</b>.</p>
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<p>Molecules for biotechnological purposes Alexa Fluor<sup>®</sup>; In blue, the common core for heterocyclic compounds.</p>
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<p>Second computational hypothesis—molecule <b>12</b>. In blue, the common core for heterocyclic compounds, and in magenta, all the possible substituents of the computational hypothesis.</p>
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<p>Second computational hypothesis—molecule <b>12</b>; (<b>a</b>) SMILES code; (<b>b</b>) 2D structure; (<b>c</b>) 3D structure for molecule <b>12</b>.</p>
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<p>Commercial substances electronically equivalent to RhB.</p>
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<p>Degradation percentages of Rhodamine B with catalytic oxidation process. (<b>a</b>) RhB initial concentration = 50 mg/L, and (<b>b</b>) RhB initial concentration = 25 mg/L.</p>
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<p>Linearization of the L-H mathematical model for the experiment results with 25 mg/L of RhB and 0.8 g of TiO<sub>2</sub>.</p>
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<p>Percentage of Rhodamine B degradation with UV-LED photo-Fenton treatment. * = 20 µL H<sub>2</sub>O<sub>2</sub>/h, ** = 30 µL H<sub>2</sub>O<sub>2</sub>/h, *** = 40 µL H<sub>2</sub>O<sub>2</sub>/h.</p>
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31 pages, 14363 KiB  
Article
Hybrid Dielectric Barrier Discharge Reactor: Characterization for Ozone Production
by Dariusz Korzec, Florian Freund, Christian Bäuml, Patrik Penzkofer and Stefan Nettesheim
Plasma 2024, 7(3), 585-615; https://doi.org/10.3390/plasma7030031 - 27 Jul 2024
Viewed by 330
Abstract
The generation of ozone by dielectric barrier discharge (DBD) is widely used for water and wastewater treatment, the control of catalytic reactions, and surface treatment. Recently, a need for compact, effective, and economical ozone and reactive oxygen–nitrogen species (RONS) generators for medical, biological, [...] Read more.
The generation of ozone by dielectric barrier discharge (DBD) is widely used for water and wastewater treatment, the control of catalytic reactions, and surface treatment. Recently, a need for compact, effective, and economical ozone and reactive oxygen–nitrogen species (RONS) generators for medical, biological, and agricultural applications has been observed. In this study, a novel hybrid DBD (HDBD) reactor fulfilling such requirements is presented. Its structured high-voltage (HV) electrode allows for the ignition of both the surface and volume microdischarges contributing to plasma generation. A Peltier module cooling of the dielectric barrier, made of alumina, allows for the efficient control of plasma chemistry. The typical electrical power consumption of this device is below 30 W. The operation frequency of the DBD driver oscillating in the auto-resonance mode is from 20 to 40 kHz. The specific energy input (SEI) of the reactor was controlled by the DBD driver input voltage in the range from 10.5 to 18.0 V, the Peltier current from 0 to 4.5 A, the duty cycle of the pulse-width modulated (PWM) power varied from 0 to 100%, and the gas flow from 0.5 to 10 SLM. The operation with oxygen, synthetic air, and compressed dry air (CDA) was characterized. The ultraviolet light (UV) absorption technique was implemented for the measurement of the ozone concentration. The higher harmonics of the discharge current observed in the frequency range of 5 to 50 MHz were used for monitoring the discharge net power. Full article
(This article belongs to the Special Issue Processes in Atmospheric Pressure Plasmas)
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<p>Setup for HDBD reactor characterization.</p>
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<p>The schematic cross-sectional view of the HDBD reactor used for ozone generation.</p>
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<p>The hybrid SDBD-VDBD discharge operation principle. (<b>a</b>) Visualization by use of a glass plate coated with ITO, placed at a tilt on the HV electrode surface. (<b>b</b>) The volume microdischarge in the gap between the post surface and the dielectric barrier. (<b>c</b>) The hybrid DBD with surface and volume microdischarges at the post touching the dielectric barrier surface.</p>
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<p>(<b>a</b>) Two PWM cycles of PWM, and (<b>b</b>) two cycles of kHz excitation of the high voltage measured between the HDBD electrodes as a function of time for the driver input voltage of 12 V, PWM frequency of 100 Hz, PWM duty cycle of 40%, CDA flow of 1 SLM, and Peltier module current of 2 A.</p>
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<p>The output RMS high voltage and apparent power for load capacity and resistance of (1) 2 pF and 1 M<math display="inline"><semantics> <mi mathvariant="sans-serif">Ω</mi> </semantics></math> (triangle), (2) 40 pF and 150 k<math display="inline"><semantics> <mi mathvariant="sans-serif">Ω</mi> </semantics></math> (square), and (3) 80 pF and 300 k<math display="inline"><semantics> <mi mathvariant="sans-serif">Ω</mi> </semantics></math> (circle), respectively, as a function of the input DC voltage of the DBD driver.</p>
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<p>The current spectrum measured for the DBD operating in air at different power densities.</p>
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<p>Influence of the oxygen gas flow on the ozone concentration expressed in ppm (<b>a</b>) and MDIR signal compared with ozone production rate (<b>b</b>) for the duty cycle of 100%, the Peltier current of 0 A, and with three DBD driver input voltages, as depicted at the curves.</p>
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<p>The ozone concentration and ozone production rate in pure oxygen, shown as a function of drive voltage for the duty cycle of 100%, the Peltier current of 0 A, and with four oxygen flows in SLM, as depicted at the curves.</p>
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<p>The ozone concentration expressed in volume percentage (<b>a</b>) and MDIR signal (<b>b</b>) shown as a function of the duty cycle of PWM for HDBD reactor operated with pure oxygen, switched off Peltier cooling, 0.6 SLM oxygen flow, and three driver input voltages, as depicted at the curves.</p>
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<p>The ozone concentration in pure oxygen expressed in volume percentage (<b>a</b>) and MDIR signal (<b>b</b>), shown as a function of the Peltier module current for the HDBD reactor operated without pulse-width modulation, with 0.6 SLM oxygen flow, and with three driver input voltages as labeled at the curves. The fitting functions used for the sensitivity calculation in Equation (<a href="#FD11-plasma-07-00031" class="html-disp-formula">11</a>) are included.</p>
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<p>The ozone concentration and ozone production rate are shown as a function of synthetic air flow for the duty cycle of 80%, the Peltier current of 0 A, and three DBD driver input voltages, as depicted in the diagram.</p>
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<p>Influence of the duty cycle on ozone production rate at the synthetic air flow of (<b>a</b>) 0.6 SLM, and (<b>b</b>) 10 SLM and on MDIR signal voltage at synthetic air flow of (<b>c</b>) 0.6 SLM, and (<b>d</b>) 10 SLM with DBD driver input voltage as a parameter, and Peltier current of 0 A.</p>
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<p>The ozone concentration for the DBD driver input voltage of (<b>a</b>) 10.5 V, and (<b>b</b>) 15 V, and the MDIR signal for the DBD driver input voltage of (<b>c</b>) 10.5 V, and (<b>d</b>) 15 V, shown as a function of the Peltier module current for the HDBD reactor operated with the duty cycle of 80%, for synthetic air flow varying from 0.6 to 10 SLM, as depicted at the curves.</p>
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<p>The ozone concentration and ozone production rate, shown as a function of CDA flow for the duty cycle of 80%, the Peltier current of 0 A, and with three DBD driver input voltages, as depicted in the curves.</p>
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<p>The ozone production rate as a function of duty cycle with DBD driver input voltage as a parameter; Peltier current of 0 A, compared for four CDA flows: (<b>a</b>) 0.6 SLM, (<b>b</b>) 1.0 SLM, (<b>c</b>) 5.0 SLM, (<b>d</b>) 10.0 SLM.</p>
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<p>The ozone concentration is shown as a function of the Peltier module current for the HDBD reactor operated with the duty cycle of 80%, the DBD driver input voltage of (<b>a</b>) 10.5 V, and (<b>b</b>) 15 V, for CDA flow varying from 0.6 to 10 SLM, as depicted at the curves.</p>
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<p>Influence of the Peltier module current on the ozone concentration at the CDA flow (<b>a</b>) 0.6 SLM and (<b>b</b>) 2.0 SLM, and on the MDIR signal at the CDA flow of (<b>c</b>) 0.6 SLM and (<b>d</b>) 2.0 SLM as a function of duty cycle for the DBD driver input voltage of 10.5 V.</p>
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<p>The limiting lines, separating the regions of the effective and ineffective Peltier cooling, in the CDA flow vs. duty cycle coordinate system for three driver voltages.</p>
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13 pages, 3490 KiB  
Article
Ecological Assessment and Molecular Characterization of Spirulina in Freshwater Reservoirs of Kohat, Pakistan
by Maha Rehman, Sascha Wetters, Peter Nick, Muhammad Jamil, Muhammad Arslan and Rehan Naeem
Sustainability 2024, 16(15), 6400; https://doi.org/10.3390/su16156400 - 26 Jul 2024
Viewed by 455
Abstract
This pioneering study uniquely identifies and characterizes the presence of algal species, mainly Spirulina, from water reservoirs in the Kohat district of Pakistan, a previously unstudied region for microalgae dynamics. Conducted over one year, from July 2022 to June 2023, the study [...] Read more.
This pioneering study uniquely identifies and characterizes the presence of algal species, mainly Spirulina, from water reservoirs in the Kohat district of Pakistan, a previously unstudied region for microalgae dynamics. Conducted over one year, from July 2022 to June 2023, the study examined 156 samples from 26 freshwater bodies in Kohat. Only one sample from Usterzai (pH 8.6 ± 0.08, TDSs 313 ± 0.81 mg/L, DO 4.50 ± 0.05 mg/L, EC 540 ± 0.81 µS/cm) contained Spirulina sp., highlighting its rarity and specific environmental preferences. The other 155 samples, with varying parameters, contained different microalgae. Microscopic analysis further confirmed the presence of Spirulina in only one sample. The morphological and molecular analyses of the isolated Spirulina culture showed variability within the population, with phylogenetic analysis illuminating closer relationship with Arthrospira platensis. While multivariate analyses identified key environmental parameters influencing algal species distribution, the selective presence of Spirulina was found less relevant, which requires further investigation in terms of nutrient availability, microbial interactions, or subtle variations in water chemistry for ecological preferences and adaptations. Full article
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Figure 1

Figure 1
<p>One-year sampling (July 2022 to June 2023) of 26 freshwater bodies in Khyber Pakhtunkhwa, Pakistan, with zones categorized by direction from Kohat University, indicating Usterzai as the source of <span class="html-italic">Spirulina</span>.</p>
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<p>Box and Whisker plot representing fluctuations in meteorological parameters between July 2022 and June 2023; (<b>A</b>) minimum temperature, (<b>B</b>) maximum temperature, (<b>C</b>) humidity, and (<b>D</b>) rainfall.</p>
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<p>Microscopic images of different algal species prevalent in water bodies of the Kohat region. Representing <span class="html-italic">Spirogyra</span> sp. (<b>A</b>), <span class="html-italic">Spirogyra</span> sp. (<b>B</b>), <span class="html-italic">Spirogyra</span> sp., <span class="html-italic">Scenedesmus</span> sp. (<b>C</b>), <span class="html-italic">Spirogyra</span> sp. (<b>D</b>), <span class="html-italic">Scenedesmus</span> sp. (<b>E</b>), <span class="html-italic">Cladophora</span> sp. (<b>F</b>), <span class="html-italic">Cladophora</span> sp. (<b>G</b>), <span class="html-italic">Chroococcus turgidus</span> sp. (<b>H</b>), <span class="html-italic">Spirogyra</span> sp. (<b>I</b>), <span class="html-italic">Scenedesmus</span> sp. (<b>J</b>), <span class="html-italic">Hematococcus</span> sp. (<b>K</b>), <span class="html-italic">Oscillatoria</span> sp. (<b>L</b>), <span class="html-italic">Spirulina</span> sp. (<b>M</b>), <span class="html-italic">Scenedesmus</span> sp., <span class="html-italic">Oscillatoria</span> sp., <span class="html-italic">Chlorella</span> sp. (<b>N</b>), <span class="html-italic">Nitzschia acicularis</span> sp. (<b>O</b>), <span class="html-italic">Spirogyra</span> sp., <span class="html-italic">Scenedesmus</span> sp., <span class="html-italic">Oscillatoria</span> sp. (<b>P</b>), <span class="html-italic">Scenedesmus</span> sp., <span class="html-italic">Oscillatoria</span> sp., <span class="html-italic">Chlorella</span> sp. (<b>Q</b>), <span class="html-italic">Scenedesmus</span> sp. (<b>R</b>), <span class="html-italic">Cladophora</span> sp. (<b>S</b>), <span class="html-italic">Spirogyra</span> sp., <span class="html-italic">Ulothrix</span> sp. (<b>T</b>), <span class="html-italic">Spirogyra</span> sp. (<b>U</b>), <span class="html-italic">Cladophora</span> sp., <span class="html-italic">Spirogyra</span> sp. (<b>V</b>), <span class="html-italic">Spirogyra</span> sp. (<b>W</b>), <span class="html-italic">Oscillatoria</span> sp. (<b>X</b>), <span class="html-italic">Scenedesmus</span> sp., <span class="html-italic">Spirogyra</span> sp. (<b>Y</b>), <span class="html-italic">Fragelaria</span> sp. (<b>Z</b>).</p>
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<p>Box and Whisker plot representing temperature variations at different locations for the isolation and identification of algal species during 2022 and 2023.</p>
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<p>Principal component analysis (PCA) showing the trends in the variation of the physico-chemical parameters of the water bodies during 2022 and 2023, covering all seasons (summer, autumn, winter, and spring).</p>
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<p>Redundancy analysis (RDA) showing the relationship between species composition and environmental variables. Localities are numbered as follows: Jarma Bridge (1), Chichana (2), Sur gul (3), Muslim Abad (4), Bagoto Khel (5), Lachi (Mandoori) (6), Somari Payan (7), Jungle Khel Chashma (8), Dara Adam Khel (9), Mohmad Zai (10), Kaghazai (11), Nasrat Khel (12), Usterzai (13), Jawzara (14), Tanda Dam (15), Sher Kot (16), Thall (17), Togh Bala (18), Bilitang (19), Babri Banda (20), Gandiali Dam (21), Chorlakki Dam (22), Kander Dam (23), Khushal Garh (24), Gumbat (25), Parshai (26).</p>
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<p>Phylogenetic tree of <span class="html-italic">Spirulina</span> sp. using the Neighbor-joining method. Systematic groups are highlighted. Samples of our study are indicated by black circles. Significance values are presented at the nodes.</p>
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19 pages, 1914 KiB  
Article
Climate Change and the Ob River: A Reassessment of Major and Trace Element Fluxes to the Arctic Ocean
by Dmitriy Moskovchenko, Andrei Soromotin, Vitaliy Khoroshavin, Nikolay Prikhodko, Vladimir Kirillov, Mikhail Koveshnikov, Eugenia Krylova, Aleksander Krasnenko and Aleksander Pechkin
Water 2024, 16(15), 2112; https://doi.org/10.3390/w16152112 - 26 Jul 2024
Viewed by 401
Abstract
Over the past few decades, climate warming has driven alterations in both the discharge volume and biogeochemical composition of Arctic riverine fluxes. This study investigated the content of macro- and microelements in the lower reaches of the Ob River (western Siberia). Seasonal sampling [...] Read more.
Over the past few decades, climate warming has driven alterations in both the discharge volume and biogeochemical composition of Arctic riverine fluxes. This study investigated the content of macro- and microelements in the lower reaches of the Ob River (western Siberia). Seasonal sampling was performed over a four-year period (2020–2023) during the main hydrological seasons (winter low water, spring-summer floods, and early fall low water) at three river stations. The results revealed significant seasonal variations in the elemental content of the Ob River water associated with changes in catchment inputs, physical and chemical conditions of the aquatic environment, and the amount and composition of incoming suspended sediment. During high water flow events in the Ob River, the concentration of suspended solids increased substantially. During the winter period when the Ob River was ice-covered, a two- to three-fold rise was observed in the concentration of Na, Mg, Ca, K, Si, and Mn. Having accounted for these seasonal variations in water chemistry, we were able to refine our estimates of elemental export to the Arctic Ocean. Compared to estimates from previous studies, we observed 2.3-fold higher dissolved loads of Mn, and the dissolved loads were higher by 2.1-fold for Zn, 1.6-fold for Fe, and 1.4-fold for Pb. The observed rise in elemental export is likely attributable to a confluence of factors, including permafrost thaw, enhanced water inflow from wetland catchments, and intensifying snowfall leading to increased flood runoff. Full article
(This article belongs to the Section Water and Climate Change)
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<p>Location of the study area.</p>
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<p>Ratio of dissolved and suspended forms of elements in the waters of the lower Ob, Salemal section, 2022–2023.</p>
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<p>Enrichment factor (EF) for major and trace elements in SPM of the Ob River. 1—Transition to autumn low flow; 2—winter low flow; 3—flood.</p>
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<p>The Ob River fluxes of dissolved and particulate heavy metals to the Arctic Ocean (1—early 2000s [<a href="#B59-water-16-02112" class="html-bibr">59</a>]; 2—present study). Whiskers represent one standard deviation above and below the mean of the dataset.</p>
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<p>The Ob River fluxes of dissolved and particulate heavy metals to the Arctic Ocean (1—early 2000s [<a href="#B59-water-16-02112" class="html-bibr">59</a>]; 2—present study). Whiskers represent one standard deviation above and below the mean of the dataset.</p>
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