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16 pages, 4159 KiB  
Article
Effect of Substituted Pyridine Co-Ligands and (Diacetoxyiodo)benzene Oxidants on the Fe(III)-OIPh-Mediated Triphenylmethane Hydroxylation Reaction
by Patrik Török and József Kaizer
Molecules 2024, 29(16), 3842; https://doi.org/10.3390/molecules29163842 - 13 Aug 2024
Abstract
Iodosilarene derivatives (PhIO, PhI(OAc)2) constitute an important class of oxygen atom transfer reagents in organic synthesis and are often used together with iron-based catalysts. Since the factors controlling the ability of iron centers to catalyze alkane hydroxylation are not yet fully [...] Read more.
Iodosilarene derivatives (PhIO, PhI(OAc)2) constitute an important class of oxygen atom transfer reagents in organic synthesis and are often used together with iron-based catalysts. Since the factors controlling the ability of iron centers to catalyze alkane hydroxylation are not yet fully understood, the aim of this report is to develop bioinspired non-heme iron catalysts in combination with PhI(OAc)2, which are suitable for performing C-H activation. Overall, this study provides insight into the iron-based ([FeII(PBI)3(CF3SO3)2] (1), where PBI = 2-(2-pyridyl)benzimidazole) catalytic and stoichiometric hydroxylation of triphenylmethane using PhI(OAc)2, highlighting the importance of reaction conditions including the effect of the co-ligands (para-substituted pyridines) and oxidants (para-substituted iodosylbenzene diacetates) on product yields and reaction kinetics. A number of mechanistic studies have been carried out on the mechanism of triphenylmethane hydroxylation, including C-H activation, supporting the reactive intermediate, and investigating the effects of equatorial co-ligands and coordinated oxidants. Strong evidence for the electrophilic nature of the reaction was observed based on competitive experiments, which included a Hammett correlation between the relative reaction rate (logkrel) and the σp (4R-Py and 4R’-PhI(OAc)2) parameters in both stoichiometric (ρ = +0.87 and +0.92) and catalytic (ρ = +0.97 and +0.77) reactions. The presence of [(PBI)2(4R-Py)FeIIIOIPh-4R’]3+ intermediates, as well as the effect of co-ligands and coordinated oxidants, was supported by their spectral (UV–visible) and redox properties. It has been proven that the electrophilic nature of iron(III)-iodozilarene complexes is crucial in the oxidation reaction of triphenylmethane. The hydroxylation rates showed a linear correlation with the FeIII/FeII redox potentials (in the range of −350 mV and −524 mV), which suggests that the Lewis acidity and redox properties of the metal centers greatly influence the reactivity of the reactive intermediates. Full article
(This article belongs to the Special Issue Inorganic Chemistry in Europe)
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Figure 1

Figure 1
<p>[Fe<sup>II</sup>(PBI)<sub>3</sub>](OTf)<sub>2</sub>-catalyzed hydroxylation of triphenylmethane with PhI(OAc)<sub>2</sub> in the absence and presence of <span class="html-italic">para</span>-substituted pyridines in acetonitrile at 323 K: [Fe<sup>II</sup>(OTf)<sub>2</sub>]<sub>0</sub> = 1 × 10<sup>−3</sup> M, [<b>1</b>]<sub>0</sub> = 1 × 10<sup>−3</sup> M, [PhI(OAc)<sub>2</sub>]<sub>0</sub> = 1 × 10<sup>−1</sup> M, and [Ph<sub>3</sub>CH]<sub>0</sub> = 3 × 10<sup>−1</sup> M, [pyridine]<sub>0</sub> = 1 × 10<sup>−2</sup> M.</p>
Full article ">Figure 2
<p>[Fe<sup>II</sup>(PBI)<sub>3</sub>](OTf)<sub>2</sub>-catalyzed hydroxylation of triphenylmethane with PhI(OAc)<sub>2</sub> in the presence of <span class="html-italic">para</span>-substituted pyridines in acetonitrile at 323 K: (<b>a</b>) the calculated conversion (=TON) values for <span class="html-italic">para</span>-substituted pyridines. (<b>b</b>) Hammett plot of log<span class="html-italic">k</span><sub>rel</sub> against the <span class="html-italic">σ</span><sub>p</sub> of <span class="html-italic">para</span>-substituted pyridines. [<b>1</b>]<sub>0</sub> = 1 × 10<sup>−3</sup> M, [PhI(OAc)<sub>2</sub>]<sub>0</sub> = 1 × 10<sup>−1</sup> M, [Ph<sub>3</sub>CH]<sub>0</sub> = 3 × 10<sup>−1</sup> M, [pyridine]<sub>0</sub> = 1 × 10<sup>−2</sup> M.</p>
Full article ">Figure 3
<p>(<b>a</b>) Formation of [(PBI)<sub>2</sub>(MeCN)Fe<sup>III</sup>(4R-PhIO)]<sup>3+</sup> intermediates in the in situ reaction of <b>1</b> with 4R’-Ph(IOAc)<sub>2</sub> in acetonitrile at 293 K monitored at 760 nm. (<b>b</b>) Hammett plot of log<span class="html-italic">k</span><sub>rel</sub> against the <span class="html-italic">σ</span><sub>p</sub> of <span class="html-italic">para</span>-substituted 4R’-Ph(IOAc)<sub>2</sub> oxidants. [<b>1</b>]<sub>0</sub> = 1 × 10<sup>−3</sup> M, [4R’-PhI(OAc)<sub>2</sub>]<sub>0</sub> = 1 × 10<sup>−2</sup> M.</p>
Full article ">Figure 4
<p>[Fe<sup>II</sup>(PBI)<sub>3</sub>](OTf)<sub>2</sub>-catalyzed hydroxylation of triphenylmethane with 4R’-PhI(OAc)<sub>2</sub> in acetonitrile at 323 K: (<b>a</b>) the calculated conversion (=TON) values for 4R’-PhI(OAc)<sub>2</sub>. (<b>b</b>) Hammett plot of log<span class="html-italic">k</span><sub>rel</sub> against the <span class="html-italic">σ</span><sub>p</sub> of 4R-PhI(OAc)<sub>2</sub>. [<b>1</b>]<sub>0</sub> = 1 × 10<sup>−3</sup> M, [4R’-PhI(OAc)<sub>2</sub>]<sub>0</sub> = 1 × 10<sup>−1</sup> M, and [Ph<sub>3</sub>CH]<sub>0</sub> = 3 × 10<sup>−1</sup> M.</p>
Full article ">Figure 5
<p>Redox properties of the [(PBI)<sub>2</sub>Fe<sup>III</sup>(OIPh)(4R-Py)] intermediates generated in situ by the reaction of <b>1</b> with Ph(IOAc)<sub>2</sub> in acetonitrile at 293 K. (<b>a</b>) Cyclic voltammograms of [(PBI)<sub>2</sub>Fe<sup>III</sup>(OIPh)(4R-Py)] intermediates. (<b>b</b>) <span class="html-italic">E</span><sub>1/2</sub> vs. σ values for [(PBI)<sub>2</sub>[(4R-Py)Fe<sup>III</sup>(OIPh)]<sup>3+</sup> intermediates. Conditions: [[Fe<sup>II</sup>(PBI)<sub>3</sub>](OTf)<sub>2</sub>]<sub>0</sub> = 1 × 10<sup>−3</sup> M, [PhI(OAc)<sub>2</sub>]<sub>0</sub>= 2 × 10<sup>−3</sup> M, [4R-Py]<sub>0</sub> = 1 × 10<sup>−2</sup> M, in (0.1 M TBAClO<sub>4</sub>) CH<sub>3</sub>CN (10 cm<sup>3</sup>), scan rate: 1500 mV/s.</p>
Full article ">Figure 6
<p>Decrease in absorbance of [(PBI)<sub>2</sub>[(4Ac-Py)Fe<sup>III</sup>(OIPh)]<sup>3+</sup> intermediate in the stoichiometric oxidation of triphenylmethane at 293 K in acetonitrile. Inset: time course of the decay monitored at 745 nm. [<b>1</b>]<sub>0</sub> = 1 × 10<sup>−3</sup> M, [PhI(OAc)<sub>2</sub>]<sub>0</sub> = 1.2 × 10<sup>−3</sup> M, [triphenylmethane]<sub>0</sub> = 1 × 10<sup>−1</sup> M, [4Ac-Py]<sub>0</sub> = 1 × 10<sup>−2</sup> M.</p>
Full article ">Figure 7
<p>Stoichiometric hydroxylation of triphenylmethane with [(PBI)<sub>2</sub>(4R-Py)Fe<sup>III</sup>(OIPh)]<sup>3+</sup> intermediates generated in situ by the reaction of <b>1</b> with Ph(IOAc)<sub>2</sub> and 4R-Py derivatives in acetonitrile at 293 K: (<b>a</b>) monitoring the decrease in absorbance of [(PBI)<sub>2</sub>(4R-Py)Fe<sup>III</sup>(OIPh)]<sup>3+</sup> intermediates by UV–Vis spectroscopy at 723–760 nm over time at 293 K. (<b>b</b>) Hammett plot of log<span class="html-italic">k</span><sub>rel</sub> against the <span class="html-italic">σ</span><sub>p</sub> of 4R-Py. [<b>1</b>]<sub>0</sub> = 1 × 10<sup>−3</sup> M, [PhI(OAc)<sub>2</sub>]<sub>0</sub> = 1.2 × 10<sup>−3</sup> M, [Ph<sub>3</sub>CH]<sub>0</sub> = 1 × 10<sup>−1</sup> M, [4R-Py]<sub>0</sub> = 1 × 10<sup>−2</sup> M.</p>
Full article ">Figure 8
<p>Stoichiometric hydroxylation of triphenylmethane with [(PBI)<sub>2</sub>(4R-Py)Fe<sup>III</sup>(OIPh)]<sup>3+</sup> intermediates generated in situ by the reaction of [Fe<sup>II</sup>(PBI)<sub>3</sub>](OTf)<sub>2</sub> with Ph(IOAc)<sub>2</sub> and 4R-Py derivatives in acetonitrile at 293 K: (<b>a</b>) log(<span class="html-italic">k</span><sub>rel</sub>) against <span class="html-italic">E</span><sub>1/2</sub> for [(PBI)<sub>2</sub>(4R-Py)Fe<sup>III</sup>(OIPh)]<sup>3+</sup> intermediates. (<b>b</b>) log(<span class="html-italic">k</span><sub>rel</sub>) against ν for [(PBI)<sub>2</sub>(4R-Py)Fe<sup>III</sup>(OIPh)]<sup>3+</sup> intermediates. [<b>1</b>]<sub>0</sub> = 1 × 10<sup>−3</sup> M, [PhI(OAc)<sub>2</sub>]<sub>0</sub> = 1.2 × 10<sup>−3</sup> M, [Ph<sub>3</sub>CH]<sub>0</sub> = 1 × 10<sup>−1</sup> M, [4R-Py]<sub>0</sub> = 1 × 10<sup>−2</sup> M.</p>
Full article ">Figure 9
<p>UV–Vis spectral properties of [(PBI)<sub>2</sub>[(X)Fe<sup>III</sup>(OIPh)]<sup>3+</sup> (X = CH<sub>3</sub>CN, Py, PyO) intermediates at 293 K in acetonitrile. [<b>1</b>]<sub>0</sub> = 1 × 10<sup>−3</sup> M, [PhI(OAc)<sub>2</sub>]<sub>0</sub> = 1.2 × 10<sup>−3</sup> M, [triphenylmethane]<sub>0</sub> = 1 × 10<sup>−1</sup> M, [X]<sub>0</sub> = 1 × 10<sup>−2</sup> M.</p>
Full article ">Figure 10
<p>Stoichiometric hydroxylation of triphenylmethane with [(PBI)<sub>2</sub>(MeCN)Fe<sup>III</sup>(OIPh-4R)]<sup>3+</sup> (R = -Cl, -H, -Me, -OMe) intermediates generated in situ by the reaction of <b>1</b> with 4R-Ph(IOAc)<sub>2</sub> (R = -Cl, -H, -Me, -OMe) oxidants in acetonitrile at 293 K: (<b>a</b>) Monitoring the decrease in absorbance of [(PBI)<sub>2</sub>(CH<sub>3</sub>CN)Fe<sup>III</sup>(OIPh-4R)]<sup>3+</sup> intermediates by UV–Vis spectroscopy at 760 nm over time at 293 K. (<b>b</b>) Hammett plot of log<span class="html-italic">k</span><sub>rel</sub> against the <span class="html-italic">σ</span><sub>p</sub> of [(PBI)<sub>2</sub>(CH<sub>3</sub>CN)Fe<sup>III</sup>(OIPh-4R)]<sup>3+</sup>intermediates. [[Fe<sup>II</sup>(PBI)<sub>3</sub>](OTf)<sub>2</sub>]<sub>0</sub> = 1 × 10<sup>−3</sup> M, [4R-PhI(OAc)<sub>2</sub>]<sub>0</sub> = 1.2 × 10<sup>−3</sup> M, [Ph<sub>3</sub>CH]<sub>0</sub> = 1 × 10<sup>−1</sup> M.</p>
Full article ">Scheme 1
<p>[Fe<sup>II</sup>(PBI)<sub>3</sub>](OTf)<sub>2</sub> (<b>1</b>) catalyzed oxidation of triphenylmethane mediated by [(PBI)<sub>2</sub>(4R-Py)Fe<sup>III</sup>(4R’-PhIO)]<sup>3</sup>+ intermediates in the presence of 4R’-PhI(OAc)<sub>2</sub> terminal oxidants and 4R-Py co-ligands.</p>
Full article ">Scheme 2
<p>Proposed mechanistic pathways for the iron(III)–iodosylarene ([(PBI)<sub>2</sub>[(4R-Py)Fe<sup>III</sup>(OIPh-4R)]<sup>3+</sup>) mediated oxidation of triphenylmethane.</p>
Full article ">
15 pages, 2805 KiB  
Article
Study on the Influence Mechanism of the Key Active Structure of Coal Molecules on Spontaneous Combustion Characteristics Based on Extraction Technology
by Jun Guo, Yunfei Wu, Yin Liu, Guobin Cai, Dailin Li and Yan Jin
Fire 2024, 7(8), 283; https://doi.org/10.3390/fire7080283 - 13 Aug 2024
Abstract
The molecular structure of coal is complex, and the existing research methods are limited, so it is difficult to clarify its influence mechanism on the spontaneous-combustion characteristics of coal. In this paper, the previous extraction, FTIR, TPR, TG-DSC and other experimental results are [...] Read more.
The molecular structure of coal is complex, and the existing research methods are limited, so it is difficult to clarify its influence mechanism on the spontaneous-combustion characteristics of coal. In this paper, the previous extraction, FTIR, TPR, TG-DSC and other experimental results are combined to analyze the extraction weakening effect and the correlation analysis of the spontaneous-combustion characteristic parameters of raffinate coal. The results show that extraction can destroy the connection bond of coal molecules, change the content of dominant active groups in the coal spontaneous-combustion reaction, increase the lower limit of the key temperature nodes of coal spontaneous-combustion or extend the temperature range, resulting in an increase in the ignition-point temperature of coal and a decrease in coal quality. This paper will provide a theoretical basis for the study of the microscopic mechanism of coal spontaneous-combustion and then provide new ideas for the development of an active prevention and control technology for coal spontaneous-combustion. Full article
(This article belongs to the Special Issue Simulation, Experiment and Modeling of Coal Fires)
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Figure 1

Figure 1
<p>Technical roadmap.</p>
Full article ">Figure 2
<p>Comparison of the difference in group content under different extractants.</p>
Full article ">Figure 3
<p>Coal spontaneous-combustion process interval stage change situation [<a href="#B33-fire-07-00283" class="html-bibr">33</a>].</p>
Full article ">Figure 4
<p>Fitting curves of the gas products of different raffinate coal groups [<a href="#B33-fire-07-00283" class="html-bibr">33</a>]. (<b>a</b>) Fitting curve of CH<sub>4</sub> gas product; (<b>b</b>) Fitting curve of CO gas product; (<b>c</b>) Fitting curve of CO<sub>2</sub> gas product; (<b>d</b>) Fitting curve of C<sub>2</sub>H<sub>6</sub> gas product; (<b>e</b>) Fitting curve of C<sub>2</sub>H<sub>4</sub> gas product.</p>
Full article ">Figure 5
<p>Gray correlation degree between active group structure and gas product.</p>
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<p>Correlation between active group structure and thermophysical parameters.</p>
Full article ">Figure 7
<p>The influence mechanism of the key active structure of coal molecules on spontaneous combustion.</p>
Full article ">
18 pages, 87123 KiB  
Article
Molecular Characteristics of the Malate Dehydrogenase (MDH) Gene Family in Spirometra mansoni (Cestoda: Diphyllobothriidea)
by Ruijie Wang, Jie Hao, Chengyue Cao, Jing Li and Xi Zhang
Int. J. Mol. Sci. 2024, 25(16), 8802; https://doi.org/10.3390/ijms25168802 (registering DOI) - 13 Aug 2024
Abstract
The plerocercoid larva of Spirometra mansoni can cause a parasitic zoonosis—sparganosis. Malate dehydrogenase (MDH) plays a very important role in the life activities of parasites. However, little is known about the MDH family in S. mansoni. We identified eight new MDH members [...] Read more.
The plerocercoid larva of Spirometra mansoni can cause a parasitic zoonosis—sparganosis. Malate dehydrogenase (MDH) plays a very important role in the life activities of parasites. However, little is known about the MDH family in S. mansoni. We identified eight new MDH members in S. mansoni in this study. Clustering analysis divided SmMDHs into two groups and revealed patterns similar to the conserved motif organization. RT–qPCR suggested that five MDHs were highly expressed in the mature proglottid and that three MDHs were highly expressed in the gravid proglottid. Phylogenetic analysis revealed that SmMDHs contain both conserved family members and members in the process of further diversification. rSmMDH has an NAD binding domain, a dimer interface and a substrate binding domain. Natural SmMDH was immunolocalized in the tissues and follicles around the uterus in the mature or gravid proglottid and eggshells. The maximum forward and reverse reaction activities of rSmMDH were observed at pH 8.5 and 9.0, respectively. The optimum temperature for enzyme activity was 37 °C in the forward reaction and 40 °C in the reverse reaction. These results lay the foundation for studying the molecular functions and mechanisms of MDHs in S. mansoni and related taxa. Full article
(This article belongs to the Special Issue Parasite Biology and Host-Parasite Interactions: 2nd Edition)
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Figure 1

Figure 1
<p>Phylogenetic analysis of malate dehydrogenase in medical cestodes and trematodes based on the maximum likelihood method. The values on the branches represent bootstrap values, and only values with bootstrap values greater than 60 are presented.</p>
Full article ">Figure 2
<p>Gene clustering and expression pattern analysis of <span class="html-italic">S. mansoni</span>. (<b>a</b>) Cluster analysis and conserved motifs of eight <span class="html-italic">Sm</span>MDHs. According to the phylogenetic results, it can be divided into clade I and clade II. The numbers on the branches are bootstrap values, and only values above 60 are shown. (<b>b</b>) MDH gene expression of <span class="html-italic">S. mansoni</span> in different stages determined using qRT–PCR. Red represents the plerocercoid, blue represents the MP, green represents the GP, and orange represents the IMP. IMP: immature proglottid; MP: mature proglottid; GP: gravid proglottid. GAPDH was used as an internal reference gene. The expression level was measured with the 2-ΔΔCt method. The data were averaged from three repeats, The error bars represent the SDs (n = 3).</p>
Full article ">Figure 3
<p>Molecular characterization of the cloned <span class="html-italic">Sm</span>MDH. (<b>a</b>,<b>b</b>) The transcription pattern of the MDH gene in various developmental stages of <span class="html-italic">S. mansoni</span> including eggs, plerocercoids and adults. Conventional RT–PCR (<b>a</b>) and real-time RT–PCR (<b>b</b>) were performed. A housekeeping gene (GAPDH) was used as an internal reference. H<sub>2</sub>O was used as a negative control. IMP: immature proglottid; GP: gravid proglottid; MP: mature proglottid; Plero: plerocercoid. (<b>c</b>) soluble r<span class="html-italic">Sm</span>MDH1 analysis. M: protein prestaining marker; Lane 1: uninduced bacterial cultures; Lane 2: the lysate of the induced recombinant bacteria harboring pQE-80L-r<span class="html-italic">Sm</span>MDH1 after ultrasonication; Lane 3: the supernatant protein; Lane 4: the precipitate protein; (<b>d</b>) SDS–PAGE analysis after r<span class="html-italic">Sm</span>MDH1 purification. M: protein prestaining marker; Lane 1: uninduced bacterial cultures; Lane 2: the lysate of the induced recombinant bacteria harboring pQE-80 L-r<span class="html-italic">Sm</span>MDH1 after ultrasonication; Lane 3: r<span class="html-italic">Sm</span>MDH1 purified by a Ni–NTA–sefinose column. (<b>e</b>) Determination of the optimal antigen coating concentration. (<b>f</b>) Anti-r<span class="html-italic">Sm</span>MDH immunoserum potency assay. Red, blue, green, purple, yellow, and cyan represent serum dilutions of 1:10<sup>2</sup>, 1:10<sup>3</sup>, 1:10<sup>4</sup>, 1:10<sup>5</sup>, 1:10<sup>6</sup>, and 1:10<sup>7</sup>, respectively. (<b>g</b>) r<span class="html-italic">Sm</span>MDH1 antigenicity analysis. M: Protein prestained marker; 1: r<span class="html-italic">Sm</span>MDH1 + anti-r<span class="html-italic">Sm</span>MDH1 serum; 2: r<span class="html-italic">Sm</span>MDH1 + infected mouse serum; 3: r<span class="html-italic">Sm</span>MDH1 + normal mouse serum; 4: soluble antigen + anti-r<span class="html-italic">Sm</span>MDH1 serum; 5: soluble antigen + serum of infected mice; 6: soluble antigen + normal mouse serum; 7: ES antigen + anti-r<span class="html-italic">Sm</span>MDH1 serum; 8: ES antigen + infected mouse serum; and 9: ES antigen + the serum of normal mice.</p>
Full article ">Figure 4
<p>Immunofluorescence analysis of MDH in various stages of <span class="html-italic">Spirometra mansoni</span>. Head: head of plerocercoid; body: body of plerocercoid; body (cross): body of plerocercoid cross; MPR: mature proglottid; MPR (cross): mature proglottid cross; GPR: gravid proglottid; GPR (cross): gravid proglottid cross; IPR: immature proglottid; Egg: eggs in the uterus of gravid proglottid. (<b>a</b>) Normal serum; (<b>b</b>) infected serum; (<b>c</b>) anti-r<span class="html-italic">Sm</span>MDH serum. GPR, scale of body (cross), head: 500 µm; IMPR, MPR, MPR (cross), GPR (cross), Uter, body: 200 µm; Eggs: 100 µm.</p>
Full article ">Figure 4 Cont.
<p>Immunofluorescence analysis of MDH in various stages of <span class="html-italic">Spirometra mansoni</span>. Head: head of plerocercoid; body: body of plerocercoid; body (cross): body of plerocercoid cross; MPR: mature proglottid; MPR (cross): mature proglottid cross; GPR: gravid proglottid; GPR (cross): gravid proglottid cross; IPR: immature proglottid; Egg: eggs in the uterus of gravid proglottid. (<b>a</b>) Normal serum; (<b>b</b>) infected serum; (<b>c</b>) anti-r<span class="html-italic">Sm</span>MDH serum. GPR, scale of body (cross), head: 500 µm; IMPR, MPR, MPR (cross), GPR (cross), Uter, body: 200 µm; Eggs: 100 µm.</p>
Full article ">Figure 4 Cont.
<p>Immunofluorescence analysis of MDH in various stages of <span class="html-italic">Spirometra mansoni</span>. Head: head of plerocercoid; body: body of plerocercoid; body (cross): body of plerocercoid cross; MPR: mature proglottid; MPR (cross): mature proglottid cross; GPR: gravid proglottid; GPR (cross): gravid proglottid cross; IPR: immature proglottid; Egg: eggs in the uterus of gravid proglottid. (<b>a</b>) Normal serum; (<b>b</b>) infected serum; (<b>c</b>) anti-r<span class="html-italic">Sm</span>MDH serum. GPR, scale of body (cross), head: 500 µm; IMPR, MPR, MPR (cross), GPR (cross), Uter, body: 200 µm; Eggs: 100 µm.</p>
Full article ">Figure 5
<p>Enzymatic characteristics of <span class="html-italic">Sm</span>MDH. (<b>a</b>) Kinetic study of the effects of the substrate concentration of NADH on the enzymatic activity of r<span class="html-italic">Sm</span>MDH1. The kinetic parameters Km and Vmax were determined using Lineweaver–Burk plots. The Km and Vmax were 1.7507 mM and 0.9269 μmol min<sup>−1</sup> mL<sup>−1</sup>, respectively. (<b>b</b>) Kinetic study of the effects of OAA substrate concentration on r<span class="html-italic">Sm</span>MDH1 enzymatic activity. The Km and Vmax were 63.53 mM and 3.73 μmol min<sup>−1</sup> mL<sup>−1</sup>, respectively. (<b>c</b>) Kinetic study of the effects of the malic acid concentration on the enzymatic activity of r<span class="html-italic">Sm</span>MDH1. The Km and Vmax were 1.1933 mM and 0.071 μmol min<sup>−1</sup> mL<sup>−1</sup>, respectively. (<b>d</b>) Kinetic study of the effects of the substrate concentration of NAD on the enzymatic activity of r<span class="html-italic">Sm</span>MDH1. The Km and Vmax were 1.9489 mM and 0.098 μmol min<sup>−1</sup> mL<sup>−1</sup>, respectively. (<b>e</b>) Effects of pH and temperature on r<span class="html-italic">Sm</span>MDH1 enzymatic activity. (<b>f</b>) Effects of temperature on r<span class="html-italic">Sm</span>MDH1 enzymatic activity. (<b>g</b>) Kinetic study effects of sodium dodecyl sulphate (SDS). (<b>h</b>) Kinetic study effects of thionicotinamide. (<b>i</b>) Kinetic study effects of (±) gossypol from cotton seeds.</p>
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<p>Effects of different concentrations of thionicotinamide (Thio) on r<span class="html-italic">Sm</span>MDH1 enzyme activity. Figure (<b>a</b>,<b>c</b>) show the oxalacetic acid oxidation of r<span class="html-italic">Sm</span>MDH1. (<b>a</b>) The effect of different concentrations of thionicotinamide (Thio) on the initial velocities. (<b>c</b>) Thio (200, 600 µM). Figure (<b>b</b>,<b>d</b>) show the malic acid reduction of r<span class="html-italic">Sm</span>MDH1. (<b>b</b>) The effect of different concentrations of thionicotinamide (Thio) on the initial velocities. (<b>d</b>) Thio (200, 600 µM). The inset shows a secondary plot of the 1/Vmax values derived from the primary Lineweaver–Burk plot vs. concentration for the determination of Ki.</p>
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<p>Kinetic study of the effects of different compounds and metal ions. (<b>a</b>) Kinetics of nicotinic acid. (<b>b</b>) Kinetic study of the effects of an ethylenediaminetetraacetic acid disodium salt solution (EDTA-Na2). (<b>c</b>) Kinetic study of methanol. (<b>d</b>) Effect of different metal ions on the enzyme activity of the forward reaction. (<b>e</b>) Effect of different metal ions on the enzyme activity of the reverse reaction.</p>
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13 pages, 3533 KiB  
Article
Nodular Graphite Dissolution and Nucleus Observation: High-Temperature Dynamics of Ductile Iron Recycling
by I. Adhiwiguna, N. Nobakht and R. Deike
Metals 2024, 14(8), 915; https://doi.org/10.3390/met14080915 (registering DOI) - 13 Aug 2024
Abstract
This investigation examines the dynamic behavior of the nodular graphite structure in ductile cast iron at elevated temperatures during the recycling process. It comprises a systematic analysis of the impact of high temperature on the change in chemical composition, followed by a set [...] Read more.
This investigation examines the dynamic behavior of the nodular graphite structure in ductile cast iron at elevated temperatures during the recycling process. It comprises a systematic analysis of the impact of high temperature on the change in chemical composition, followed by a set of examinations of the nodular graphite structure dissolution mechanism at the early phase of the remelting process. The results indicate that prolonged holding at higher temperatures affects the carbon or silicon concentration due to oxidation, which correlates with the operating temperature and the dynamic concentration proportion of those two main alloying elements. It is also substantiated that the dissolution of nodular graphite, the only carbon source during the ductile cast iron remelting process, does not occur primarily in the liquid state but has already started during the solid phase because of austenitization. This dissolution is governed mainly by a surface reaction, as indicated by the residual graphite structure with preserved nonmetallic nuclei. Hence, this approach also provides an alternative method for observing the nodular graphite core by intentionally partially dissolving the graphite structure. Full article
(This article belongs to the Special Issue Casting Alloy Design and Characterization—2nd Edition)
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<p>The average change in the carbon content during the high-temperature holding of (<b>a</b>) HS-CI and (<b>b</b>) LS-CI—additional sample LS-CI 1400 °C* was melted in an alumina-based crucible.</p>
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<p>The average change in the carbon and silicon contents in (<b>a</b>) HS-CI and (<b>b</b>) LS-CI during holding at a temperature of 1300 °C.</p>
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<p>The average change in the carbon and silicon contents in (<b>a</b>) HS-CI and (<b>b</b>) LS-CI during holding at a temperature of 1500 °C.</p>
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<p>Microstructure of nital-etched LS-CI (<b>a</b>) before and (<b>b</b>) after ET-Exp (1200 °C for 10 min)—transforming (1) nodular graphite in (2) pearlite and (3) ferrite matrix system into (4) residual graphite in (5) ledeburite and (6) martensite matrix system.</p>
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<p>Microstructure development LS-CI after being held at 1200 °C followed by water quenching for (<b>a1</b>) 5, (<b>b1</b>) 10, and (<b>c1</b>) 15 minutes in as-polished condition as well as for (<b>a2</b>) 5, (<b>b2</b>) 10, and (<b>c2</b>) 15 minutes in nital-etched condition.</p>
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<p>Microstructure of the nital-etched LS-CI after 15 minutes of holding at 1200 °C followed by water quenching indicating (<b>a</b>) residual graphite in red circle detailed in (<b>b</b>): (1) graphite, (2) martensite, and (3) ledeburite.</p>
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<p>Microstructure of the nital-etched LS-CI after 15 minutes of holding at (<b>a</b>) 1100 °C, (<b>b</b>) 1200 °C, and (<b>c</b>) 1300 °C followed by water quenching—detailed red arrow G: residual graphite.</p>
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<p>(<b>a</b>) Rest nodular graphite and (<b>b</b>) detail of its nonmetallic nucleus in the LS-CI sample.</p>
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<p>FactSage calculation results for the oxidation of HS-CI and LS-CI at explored temperatures.</p>
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16 pages, 5424 KiB  
Article
Distinct Diazotrophic Communities in Water and Sediment of the Sub-Lakes in Poyang Lake, China
by Qiang Wu, Zhigang Zhu, Longlingfeng Liu, Yin Qin, Yufang Jiang, Jinfu Liu, Wenxiang Zou, Fei Wang and Yuwei Chen
Water 2024, 16(16), 2277; https://doi.org/10.3390/w16162277 - 13 Aug 2024
Abstract
The sub-lakes of Poyang Lake have significant ecological value. To date, the diazotrophs in sub-lakes are unknown. Moreover, no study has simultaneously focused on diazotrophic communities in the water and sediment in natural freshwater ecosystems. In this study, we investigated the diazotrophic alpha [...] Read more.
The sub-lakes of Poyang Lake have significant ecological value. To date, the diazotrophs in sub-lakes are unknown. Moreover, no study has simultaneously focused on diazotrophic communities in the water and sediment in natural freshwater ecosystems. In this study, we investigated the diazotrophic alpha diversity, structure, abundance, molecular ecological network, and community assembly mechanism in the water and sediment of sub-lakes using Illumina MiSeq sequencing and a quantitative polymerase chain reaction assay. The results showed that the sediment had a greater diversity of diazotrophs than the water. Proteobacteria and Spirochaetes were the dominant diazotrophic phyla in the water, whereas Proteobacteria was the dominant diazotrophic phylum in the sediment. There were significant differences in the composition of diazotrophic communities between the water and sediment. The sediment had a more complex co-occurrence network of diazotrophs than the water. Deterministic processes dominate the community assembly of diazotrophs in both the water and sediment of the sub-lakes, and the relative role of deterministic processes was stronger for sediment than water. Our study is the first to reveal the differences in the diazotrophic communities between the water and sediment in natural freshwater ecosystems and provides the fundamental scientific datasets for understanding the nitrogen fixation process in sub-lakes. Full article
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<p>Map of the nine sub-lakes sampling locations.</p>
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<p>Comparison of alpha diversity indices between water and sediment diazotrophic communities in the sub-lakes. (<b>a</b>) OTU richness; (<b>b</b>) Chao richness estimator; (<b>c</b>) Shannon index. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Relative abundance of the phyla found in the water and sediment diazotrophic communities. W, water; S, sediment; BS, Baishahu Lake; CC, Changhuchi Lake; CH, Changhu Lake; DC, Dachahu Lake; DH, Donghu Lake; NS, Beishenhu Lake; SN, Sanniwan Lake; ZB, Zhanbeihu Lake; ZC, Zhonghuchi Lake.</p>
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<p>Comparison of the relative abundance of (<b>a</b>) Alphaproteobacteria, (<b>b</b>) Betaproteobacteria, and (<b>c</b>) Deltaproteobacteria between water and sediment diazotrophic communities in the sub-lakes. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Z-score normalized heatmap of the eight dominant diazotrophic genera (average relative abundance &gt; 5% in the water or sediment). W, water; S, sediment; BS, Baishahu Lake; CC, Changhuchi Lake; CH, Changhu Lake; DC, Dachahu Lake; DH, Donghu Lake; NS, Beishenhu Lake; SN, Sanniwan Lake; ZB, Zhanbeihu Lake; ZC, Zhonghuchi Lake. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>PCoA ordination plot of the water and sediment diazotrophic OTUs from the nine sub-lakes. S, sediment; W, water.</p>
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<p>Co-occurrence networks of the (<b>a</b>) water and (<b>b</b>) sediment diazotrophic communities at the OTU level. Red and green edges, respectively, represent positive and negative correlations.</p>
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<p>(<b>a</b>) Zi (within-module connectivity)-Pi (among-module connectivity) plot showing the distribution of the water and sediment diazotrophic OTUs based on their topological roles. Peripherals have Zi &lt; 2.5 and Pi &lt; 0.62, module hubs have Zi &gt; 2.5 and Pi &lt; 0.62, and connectors have Zi &lt; 2.5 and Pi &gt; 0.62. Module hubs and connectors are regarded as keystone taxa. (<b>b</b>) Number and taxonomic assignment of keystone OTUs.</p>
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<p>Neutral community model of diazotrophic OTUs in (<b>a</b>) water and (<b>b</b>) sediment. OTUs that occur more or less frequently than predicted by the model are represented by blue or red dots. The dashed blue line shows the 95% confidence interval around the model prediction (the solid blue line). The value of R2 indicates the fit to the neutral model, and Nm represents the metacommunity size times immigration.</p>
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<p>Modified stochasticity ratio (MST) of the water and sediment diazotrophic communities. Solid and hollow blocks represent MST values for paired samples and mean MST values, respectively.</p>
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15 pages, 3288 KiB  
Article
Computational Study of the Kinetics and Mechanisms of Gas-Phase Decomposition of N-Diacetamides Using Density Functional Theory
by Oswaldo Luis Gabidia Torres, Marcos Loroño, Jose Luis Paz Rojas, Cecilio Julio Alberto Garrido Schaeffer, Thais Cleofe Linares Fuentes and Tania Cecilia Cordova Sintjago
Molecules 2024, 29(16), 3833; https://doi.org/10.3390/molecules29163833 - 13 Aug 2024
Viewed by 152
Abstract
In this research work, we examined the decomposition mechanisms of N-substituted diacetamides. We focused on the substituent effect on the nitrogen lone-pair electron delocalization, with electron-withdrawing and electron donor groups. DFT functionals used the following: B1LYP, B3PW91, CAMB3LYP, LC-BLYP, and X3LYP. Dispersion [...] Read more.
In this research work, we examined the decomposition mechanisms of N-substituted diacetamides. We focused on the substituent effect on the nitrogen lone-pair electron delocalization, with electron-withdrawing and electron donor groups. DFT functionals used the following: B1LYP, B3PW91, CAMB3LYP, LC-BLYP, and X3LYP. Dispersion corrections (d3bj) with Becke–Johnson damping were applied when necessary to improve non-covalent interactions in the transition state. Pople basis sets with higher angular moments and def2-TZVP basis sets were also applied and were crucial for obtaining consistent thermodynamic parameters. The proposed mechanism involves a six-membered transition state with the extraction of an α hydrogen. Several conformers of N-diacetamides were used to account for the decrease in entropy in the transition state in the rate-determining state. All calculations, including natural bond orbital (NBO) analyses, were performed using the Gaussian16 computational package and its GaussView 6.0 visualizer, along with VMD and GNUPLOT software. The isosurfaces and IBSIs were calculated using MultiWFN and IGMPlot, respectively. Full article
(This article belongs to the Special Issue Advances in the Theoretical and Computational Chemistry)
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Graphical abstract
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<p>(<b>a</b>) C<sub>2h</sub> and (<b>b</b>) C<sub>s</sub> symmetry structures of diacetamide dimers and HF/6-31G geometry of the hydrogen bonds (bond distances in Å and bond angles in degrees), as shown in reference [<a href="#B5-molecules-29-03833" class="html-bibr">5</a>].</p>
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<p>(<b>A</b>) Methyl groups facing each other (E: −592.407279 ha); (<b>B</b>) head-to-head ketones (E: −592.408915 Ha); (<b>C</b>) ketone–methyl face to face (E: −592.417458 Ha). All calculations were performed with B1LYP/6-31+G(d,p).</p>
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<p>Scanned potential surface of two structures at the B3PW91/6-311+G(3df,2p) level of theory. (<b>A</b>) Reactant; (<b>B</b>) reactant after phenyl rotation.</p>
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<p>Potential energy surface NX(COCH<sub>3</sub>)<sub>2</sub> X = phenyl, with the functional LC-BLYP and def2-TZVP basis set, using the Gaussian16 scan grid option with two dihedral scan coordinates. (SC1: C2-N1-C14-C15 and SC2: C14-N1-C2-C3; see <a href="#molecules-29-03833-f003" class="html-fig">Figure 3</a>A for the atom labels.</p>
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<p>Possible migration of electrons due to the presence of the nitro group in benzene.</p>
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<p>Mayer bond order indexes (<span class="html-italic">y</span>-axis) for the NX(COCH<sub>3</sub>)<sub>2</sub> X=H, phenyl, and Cl at the LC-BLYP/def2-TZVP level of theory from an IRC calculation.</p>
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<p>AL-AWADI proposed a mechanism involving a six-membered transition state (circled). Delocalization of the nitrogen lone pair is shown.</p>
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<p>Compounds studied in this work. R-N–[X=H (<b>A</b>), Phenyl (<b>B</b>), and p-nitro Phenyl (<b>C</b>)].</p>
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<p>Dimer formation [NX(COCH3)<sub>2</sub> X=H (A), phenyl (B)], Cl (C)]<sub>2</sub>.</p>
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<p>Four-member transitional state 1 and formation of an intermediary (<b>A</b>). The intermediate leads to a second transition state 2 of a six-membered ring structure, giving rise to final products.</p>
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<p>Nitrophenyl diacetyl amine until product formation.</p>
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20 pages, 2331 KiB  
Article
Experimental Study on the Temperature-Dependent Static, Dynamic, and Post-Dynamic Mechanical Characteristics of Municipal Solid Waste
by Zejin Wang, Shuyu Hu, Jiaxin Zhou, Peng Cui and Ying Jiang
Materials 2024, 17(16), 4012; https://doi.org/10.3390/ma17164012 - 12 Aug 2024
Viewed by 250
Abstract
Municipal solid waste (MSW) has huge potential to be recycled as construction material, which would have significant benefits for environmental conservation. However, the cornerstone of this undertaking is a solid comprehension of the mechanical response of MSW in real-world engineering locations, taking into [...] Read more.
Municipal solid waste (MSW) has huge potential to be recycled as construction material, which would have significant benefits for environmental conservation. However, the cornerstone of this undertaking is a solid comprehension of the mechanical response of MSW in real-world engineering locations, taking into account the effects of stress levels and temperature. In this paper, well-mixed MSW samples were sieved and crushed to produce standardized specimens in cylindrical molds. A series of static, dynamic, and post-cyclic shear tests were conducted on the MSW at temperatures ranging from 5 °C to 80 °C with normal stresses of 50 kPa, 100 kPa, and 150 kPa. The experimental findings demonstrate that the static, dynamic, and post-cyclic mechanical response of MSW presents temperature range-dependency; temperature variation between 5 °C and 20 °C affects MSW’s mechanical reaction more than variation in temperature between 40 °C and 80 °C under various stress settings; at 5 °C~80 °C, the static peak shear strength of MSW is the highest, being followed by the post-cyclic peak shear strength, while the dynamic peak shear strength is the lowest; the sensitivity of the dynamic shear strength of MSW to temperature variation is the largest, being followed by the post-cyclic peak shear strength, and the static peak shear strength is the lowest. Full article
(This article belongs to the Special Issue Sustainable and Advanced Cementitious Materials)
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<p>The displacement and shear stress relationship of MSW under monotonic shear loading: (<b>a</b>) 50 kPa; (<b>b</b>) 100 kPa; (<b>c</b>) 150 kPa.</p>
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<p>The correlation curves between MSW peak shear strength and temperature.</p>
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<p>The correlation curve between the cycle shear number and the maximum shear stress: (<b>a</b>) 50 kPa; (<b>b</b>) 100 kPa; (<b>c</b>) 150 kPa.</p>
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<p>Dynamic peak shear strength versus temperature curves for MSW.</p>
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<p>The relationship curve of MSW dynamic shear rigidity and cycle number under different normal stress conditions: (<b>a</b>) 50 kPa; (<b>b</b>) 100 kPa; (<b>c</b>) 150 kPa.</p>
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<p>The relationship curve of MSW damping ratio and cycle number under different normal stress conditions: (<b>a</b>) 50 kPa; (<b>b</b>) 100 kPa; (<b>c</b>) 150 kPa.</p>
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<p>MSW shear stress–displacement curves under post-cyclic monotonic shear loading: (<b>a</b>) 50 kPa; (<b>b</b>) 100 kPa; (<b>c</b>) 150 kPa.</p>
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<p>The correlation curves between temperature and MSW post-cyclical peak shear strength.</p>
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<p>The MSW peak shear strength–temperature relationship curves for different stress statuses.</p>
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28 pages, 5188 KiB  
Review
Enhanced Multifaceted Properties of Nanoscale Metallic Multilayer Composites
by Mahmoud Ebrahimi, Bangcai Luo, Qudong Wang and Shokouh Attarilar
Materials 2024, 17(16), 4004; https://doi.org/10.3390/ma17164004 - 12 Aug 2024
Viewed by 270
Abstract
This study explored the fascinating field of high-performance nanoscale metallic multilayer composites, focusing on their magnetic, optical, and radiation tolerance properties, as well as their thermal and electrical properties. In general, nanoscale metallic multilayer composites have a wide range of outstanding properties, which [...] Read more.
This study explored the fascinating field of high-performance nanoscale metallic multilayer composites, focusing on their magnetic, optical, and radiation tolerance properties, as well as their thermal and electrical properties. In general, nanoscale metallic multilayer composites have a wide range of outstanding properties, which differ greatly from those observed in monolithic films. Their exceptional properties are primarily due to the large number of interfaces and nanoscale layer thicknesses. Through a comprehensive review of existing literature and experimental data, this paper highlights the remarkable performance enhancements achieved by the precise control of layer thicknesses and interfaces in these composites. Furthermore, it will discuss the underlying mechanisms responsible for their exceptional properties and provide insights into future research directions in this rapidly evolving field. Many studies have investigated these materials, focusing on their magnetic, mechanical, optical, or radiation-tolerance properties. This paper summarizes the findings in each area, including a description of the general attributes, the adopted synthesis methods, and the most common characterization techniques used. The paper also covers related experimental data, as well as existing and promising applications. The paper also covers other phenomena of interest, such as thermal stability studies, self-propagating reactions, and the progression from nanomultilayers to amorphous and/or crystalline alloys. Finally, the paper discusses challenges and future perspectives relating to nanomaterials. Overall, this paper is a valuable resource for researchers and engineers interested in harnessing the full potential of nanoscale metallic multilayer composites for advanced technological applications. Full article
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<p>The evolution roadmap of nanoscale metallic multilayer composites (NMMCs).</p>
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<p>Superparamagnetic supraparticles. (<b>a</b>) The experimental setup for the evaporation-guided assembly of a magnetic nanoparticle dispersion on a superamphiphobic surface that produces supraparticles, and (<b>b</b>) the drying process of a 3% weight droplet in the absence (<b>upper</b> panel) and presence (<b>bottom</b> panel) of a magnetic field. Note that a 0.5 mm scale bar is used [<a href="#B57-materials-17-04004" class="html-bibr">57</a>].</p>
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<p>AFM image showing magnetic islands with diameters of 140 and 500 nm within a nonmagnetic matrix following patterning. Note that the Ar<sup>+</sup> implantation has caused the matrix regions to enlarge by around 10 nm in height relative to the protected islands [<a href="#B69-materials-17-04004" class="html-bibr">69</a>].</p>
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<p>Unfolded Fermi surface WSe<sub>2</sub> monolayer from the Fe/WSe2/Pt heterostructure along with its structure and spin Seebeck coefficient (<span class="html-italic">S</span><sub>spin</sub>) as a function of chemical potential (<span class="html-italic">μ</span>) [<a href="#B71-materials-17-04004" class="html-bibr">71</a>].</p>
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<p>Diagram showing ferromagnetic A and non-magnetic B layers in magnetic multilayers. Note that d and d′ indicate the layer’s thickness.</p>
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<p>The schematic representation of (<b>a</b>) conventional silica–gold core nanoshells, (<b>b</b>) multilayer gold–silica–gold nanoshells, and (<b>c</b>) conventional silica–gold core and multilayer gold–silica–gold nanoshell calculated spectra with different inner core radii but the silica and outer radii staying the same (Media 1). Note that the lambda shift indicates the multilayer gold–silica–gold nanoshells’ red shift from the conventional silica–gold core nanoshells [<a href="#B85-materials-17-04004" class="html-bibr">85</a>].</p>
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<p>The structural characteristics of nanocomposite Ag-SiO<sub>2</sub> films and the effect of altering co-sputtering duration at film thicknesses [<a href="#B87-materials-17-04004" class="html-bibr">87</a>].</p>
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<p>Analysis of fringe patterns: (<b>a</b>) the diagram illustrates the exciton transition dipole’s schematic representation, with the top figure showing its out-of-plane orientation and the bottom figure demonstrating its inclined angle; (<b>b</b>) the near-field emission wavelength map of Al<sub>2</sub>O<sub>3</sub> (5 nm)/NP/Au is displayed with a topography background; (<b>c</b>) the line-cuts of TEPL intensity at various direction angles; and (<b>d</b>) the fringe period expressed mathematically as a function of the angle. Note that the error bar corresponds to the full width at half maximum (FWHM) of the peak observed in the Fourier transform of the fringe profiles in (<b>c</b>). The scale bar represents 0.5 µm [<a href="#B91-materials-17-04004" class="html-bibr">91</a>].</p>
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<p>Production of monometallic and multimetallic alloy nanoparticles, as well as the simultaneous effects of sublimation, dewetting, and interdiffusion. (<b>a</b>) Diagrams showing how Ag/Pt and Ag/Au/Pt multilayers are deposited on sapphire (0001) (atomic diffusion at low temperatures during annealing (a-1)), (<b>b</b>) sublimation of Ag atoms while alloy nanoparticles (NPs) are formed, (<b>c</b>) Pt and AuPt NP formation following Ag sublimation, (<b>d</b>) extinction rates of common AgPt and Pt NPs are compared, and (<b>e</b>) local e-field distribution using finite difference time domain (FDTD) simulation of a typical Pt NP [<a href="#B102-materials-17-04004" class="html-bibr">102</a>].</p>
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<p>Schematic representation of the operating principle of the Co-OEC/(AuNP/TNP)n photoanode [<a href="#B103-materials-17-04004" class="html-bibr">103</a>].</p>
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<p>The thermal conductivity of Cu/W multilayered nanofilms at room temperature with varying periodic thicknesses, along with bright-field cross-sectional TEM images of the Cu/W multilayered nanofilms: (<b>a1</b>) thermal conductivity of Cu/W multilayered nanofilms curves at room temperature according to varied periodic thicknesses; (<b>a2</b>) structure of Cu/W multilayered nanofilms; (<b>a3</b>) bright-field cross-sectional TEM micrographs of the Cu/W multilayered nanofilms [<a href="#B106-materials-17-04004" class="html-bibr">106</a>].</p>
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<p>Schematic of the thermal resistance of the Al-Ir-MgO material stack [<a href="#B113-materials-17-04004" class="html-bibr">113</a>].</p>
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<p>Thermal transport physics schematics across the interface. (<b>a</b>) Heat dissipation in a large-scale integrated circuit and (<b>b</b>) phonon transport at the interface of materials A and B [<a href="#B115-materials-17-04004" class="html-bibr">115</a>].</p>
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24 pages, 7536 KiB  
Review
Direct Solar Thermal Water-Splitting Using Iron and Iron Oxides at High Temperatures: A Review
by Manuel Fuentes, Diego Pulido, Edward Fuentealba, Alvaro Soliz, Norman Toro, Atul Sagade and Felipe M. Galleguillos Madrid
Appl. Sci. 2024, 14(16), 7056; https://doi.org/10.3390/app14167056 - 12 Aug 2024
Viewed by 298
Abstract
Green hydrogen is poised to play a crucial role in the energy-transition process in developed countries over the coming years, particularly in those countries aiming to achieve net-zero emissions. Consequently, the for green hydrogen is expected to rise significantly. This article explores the [...] Read more.
Green hydrogen is poised to play a crucial role in the energy-transition process in developed countries over the coming years, particularly in those countries aiming to achieve net-zero emissions. Consequently, the for green hydrogen is expected to rise significantly. This article explores the fundamental methods of producing hydrogen, focusing on the oxidation reaction within a thermochemical solar cycle for the dissociation of steam. Solar thermochemical cycles have been extensively researched, yet they remain in the development stage as research groups strive to identify optimal materials and conditions to enhance process efficiency, especially at high temperatures. The article analyses theoretical foundations drawn from exhaustive scientific studies related to the oxidation of iron in steam, the relationship with the activation energy of the corrosive process, thermodynamic aspects, and the kinetic model of a heterogeneous reaction. Additionally, it presents various mechanisms of high-temperature oxidation, pH effects, reactors, and materials (including fluidized beds). This scientific review suggests that hydrogen production via a thermochemical cycle is more efficient than production via electrochemical processes (such as electrolysis), provided the limitations of the cycle’s reduction stage can be overcome. Full article
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<p>Number of publications per year with the keywords “thermal water splitting using iron and oxides at high temperatures” retrieved from Web of Science.</p>
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<p>Step diagram of the non-catalytic superficial heterogeneous reaction of the electrochemical dissolution of iron in water vapour.</p>
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<p>Diagram of the electrochemical dissolution of iron. The symbol “?” means that the question remains about the interaction between metal (Fe) and water vapor.</p>
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<p>The mechanism in O<sub>2</sub>-H<sub>2</sub>O vapour mixtures after long periods (adapted from [<a href="#B62-applsci-14-07056" class="html-bibr">62</a>]).</p>
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<p>(<b>a</b>) Cross-sectional SEM image of oxides formed on iron after 1 h of oxidation at 650 °C and (<b>b</b>) cross-sectional SEM image of oxide scale formed on iron after 10 h of steam oxidation at 650 °C, where the outermost white layer is nickel-plated (from [<a href="#B52-applsci-14-07056" class="html-bibr">52</a>]).</p>
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<p>Operating temperature of typical thermochemical water-splitting cycles in the reduction stage.</p>
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25 pages, 14348 KiB  
Article
Fufang Muji Granules Ameliorate Liver Fibrosis by Reducing Oxidative Stress and Inflammation, Inhibiting Apoptosis, and Modulating Overall Metabolism
by Lei Men, Zhihong Gu, Enhua Wang, Jiwen Li, Zhongyu Li, Keke Li, Chunbin Li and Xiaojie Gong
Metabolites 2024, 14(8), 446; https://doi.org/10.3390/metabo14080446 - 11 Aug 2024
Viewed by 348
Abstract
Fufang Muji granules (FMGs) are a prominent modern prescription Chinese patent formulation derived from the Muji decoction. Utilized in clinical practice for nearly four decades, FMGs have demonstrated efficacy in treating liver diseases. However, the precise mechanism of action remains unclear. This study [...] Read more.
Fufang Muji granules (FMGs) are a prominent modern prescription Chinese patent formulation derived from the Muji decoction. Utilized in clinical practice for nearly four decades, FMGs have demonstrated efficacy in treating liver diseases. However, the precise mechanism of action remains unclear. This study investigates the hepatoprotective effects of FMGs against liver fibrosis in rats based on untargeted metabolomics and elucidates their underlying mechanisms. A comprehensive model of liver fibrosis was established with 30% CCl4 (2 mL/kg) injected intraperitoneally, and a fat and sugar diet combined with high temperatures and humidity. Rats were orally administered FMGs (3.12 g/kg/d) once daily for six weeks. FMG administration resulted in improved liver fibrosis and attenuated hepatic oxidative stress and apoptosis. Furthermore, FMGs inhibited hepatic stellate cell activation and modulated transforming growth factor β1/Smad signaling. Additionally, FMG treatment influenced the expression levels of interleukin-6, interleukin-1β, and tumour necrosis factor alpha in the injured liver. Metabolic pathways involving taurine and hypotaurine metabolism, as well as primary bile acid biosynthesis, were identified as mechanisms of action for FMGs. Immunohistochemistry, quantitative reverse transcription polymerase chain reaction (RT-qPCR), and quantitative analysis also revealed that FMGs regulated taurine and hypotaurine metabolism and bile acid metabolism. These findings provide a valuable understanding of the role of FMGs in liver fibrosis management. Full article
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<p>Experimental flow chart.</p>
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<p>Protective effect of FMGs on liver fibrosis in rat livers. (<b>A</b>) Histopathologic analysis of livers (400× magnification). (<b>B</b>) Effects of FMGs on the apoptosis of rat hepatocytes (TUNEL staining, 400× magnification). (<b>C</b>,<b>D</b>) Liver function parameters assessed by (alanine transaminase, ALT) and (aspartate aminotransferase, AST). (<b>E</b>–<b>H</b>) Liver fibrosis markers assessed by laminin (LN), type IV collagen (Col-IV), type III procollagen (PC-III), and hyaluronic acid (HA). (n = 6, mean ± SD, * <span class="html-italic">p</span> &lt; 0.05, *** <span class="html-italic">p</span> &lt; 0.001; Con, control group; Mod, model group; Colc, colchicine group; FMG, FMG group).</p>
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<p>Immunohistochemical staining of α-smooth muscle actin (α-SMA) (<b>A</b>) and transforming growth factor β1 (TGF-β1) (<b>B</b>) (magnification 400×). Effects of FMG on the mRNA expression of α-SMA, TGF-β1, and SMAD family members 4 (Smad4) and 7 (Smad7) in the liver tissues measured using qPCR (<b>C</b>–<b>F</b>), n = 3, mean ± SD, * <span class="html-italic">p</span> &lt; 0.05, *** <span class="html-italic">p</span> &lt; 0.001; Con, control group; Mod, model group; FMG, FMG group.</p>
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<p>FMGs ameliorate oxidative stress and inflammatory factors in hepatic fibrosis rats. (<b>A</b>–<b>E</b>) The levels of catalase (CAT), glutathione (GSH), glutathione peroxidases (GSH-Px), superoxide dismutase (SOD), and malondialdehyde (MDA) in the liver were detected by detection kits. (<b>F</b>–<b>H</b>) Effects of FMGs on the mRNA expression of tumour necrosis factor α (TNF-α), interleukin 1β (IL-1β), and interleukin 6 (IL-6) in liver tissues measured using qPCR. (n = 3, mean ± SD, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001; Con, control group; Mod, model group; FMG, FMG group).</p>
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<p>FMGs reverse the metabolic profiles of hepatic fibrosis rats. The PCA plots of the three groups in the positive (<b>A</b>) and negative (<b>B</b>) ion modes (PC1 represents the linear combination with the highest variance in the original data set; PC2 represents the linear combination with the highest variance in the direction orthogonal to the direction in which the first principal component is located.) The PLS-DA score plots of the three groups in the positive (<b>C</b>) and negative (<b>D</b>) ion modes (Component1represents the direction of the greatest variability in the data set; Component2 represents the direction of the second-greatest variability in the data). (<b>E</b>) A cross-comparison of three groups of differential metabolites was conducted using venn diagrams. (Con, control group; Mod, model group; FMG, FMG group).</p>
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<p>Metabolites pathway analysis in the liver. (<b>A</b>) Metabolites pathway impact between control and model groups. (<b>B</b>) Metabolites pathway impact between model and FMG group. (<b>C</b>) Schematic representation of the metabolic network of FMG regulation in rats based on the KEGG database. (<b>D</b>) Metabolic pathway network diagram.</p>
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<p>Metabolites pathway analysis in the liver. (<b>A</b>) Metabolites pathway impact between control and model groups. (<b>B</b>) Metabolites pathway impact between model and FMG group. (<b>C</b>) Schematic representation of the metabolic network of FMG regulation in rats based on the KEGG database. (<b>D</b>) Metabolic pathway network diagram.</p>
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<p>FMGs regulate taurine metabolism and bile metabolism. (<b>A</b>,<b>B</b>) Effects of FMGs on the mRNA expression of cysteine dioxygenase (CDO) and cysteinesulfinic acid decarboxylase (CSAD); (<b>C</b>) The level of taurine (Tau) in serum assessed by ELISA kits. (<b>D</b>–<b>G</b>) Effects of FMGs on the mRNA expression of bile salt export pump (Bsep), cholesterol 7 alpha-hydroxylase cytochrome p450 7A1 (CYP7A1), multidrug resistance protein 2 (Mrp2), and farsenoid X receptor (FXR) in the liver tissues measured using qPCR. (<b>H</b>) Immunohistochemical staining of Bsep (magnification 400×). (n = 3, mean ± SD, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001; Con, control group; Mod, model group; FMG, FMG group).</p>
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<p>The possible mechanism of FMGs in the treatment of liver fibrosis.</p>
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<p>Pearson correlation analysis of biochemical parameters and potential biomarker metabolites. Blue squares indicate significant negative correlations, and red squares indicate significant positive correlations (*** <span class="html-italic">p</span> &lt; 0.001, ** <span class="html-italic">p</span> &lt; 0.01, * <span class="html-italic">p</span> &lt; 0.05, correlation significance between two variables).</p>
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12 pages, 1708 KiB  
Article
Fabricating High Strength Bio-Based Dynamic Networks from Epoxidized Soybean Oil and Poly(Butylene Adipate-co-Terephthalate)
by Bin Xu, Zhong-Ming Xia, Rui Zhan and Ke-Ke Yang
Polymers 2024, 16(16), 2280; https://doi.org/10.3390/polym16162280 - 11 Aug 2024
Viewed by 343
Abstract
Amid the rapid development of modern society, the widespread use of plastic products has led to significant environmental issues, including the accumulation of non-degradable waste and extensive consumption of non-renewable resources. Developing healable, recyclable, bio-based materials from abundant renewable resources using diverse dynamic [...] Read more.
Amid the rapid development of modern society, the widespread use of plastic products has led to significant environmental issues, including the accumulation of non-degradable waste and extensive consumption of non-renewable resources. Developing healable, recyclable, bio-based materials from abundant renewable resources using diverse dynamic interactions attracts increasing global attention. However, achieving a good balance between the self-healing capacity and mechanical performance, such as strength and toughness, remains challenging. In our study, we address this challenge by developing a new type of dynamic network from epoxidized soybean oil (ESO) and poly(butylene adipate-co-terephthalate) (PBAT) with good strength and toughness. For the synthetic strategy, a thiol–epoxy click reaction was conducted to functionalize ESO with thiol and hydroxyl groups. Subsequently, a curing reaction with isocyanates generated dynamic thiourethane and urethane bonds with different bonding energies in the dynamic networks to reach a trade-off between dynamic features and mechanical properties; amongst these, the thiourethane bonds with a lower bonding energy provide good dynamic features, while the urethane bonds with a higher bonding energy ensure good mechanical properties. The incorporation of flexible PBAT segments to form the rational multi-phase structure with crystalline domains further enhanced the products. A typical sample, OTSO100-PBAT100, exhibited a tensile strength of 33.2 MPa and an elongation at break of 1238%, demonstrating good healing capacity and desirable mechanical performance. This study provides a promising solution to contemporary environmental and energy challenges by developing materials that combine mechanical and repair properties. It addresses the specific gap of achieving a trade-off between tensile strength and elongation at break in bio-based self-healing materials, promising a wide range of applications. Full article
(This article belongs to the Section Biomacromolecules, Biobased and Biodegradable Polymers)
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<p>(<b>A</b>) Synthetic route, (<b>B</b>) 1H NMR spectrum, and (<b>C</b>) FT-IR spectrum of OTSO.</p>
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<p>DSC curves of OTSO−based networks and PBAT: (<b>A</b>) cooling scan and (<b>B</b>) heating scan with a scanning rate of 10 °C/min.</p>
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<p>Stress relaxation curves of (<b>A</b>) OTSO<sub>100</sub>-PBAT<sub>100</sub> and (<b>B</b>) TSO<sub>100</sub>-IPDI<sub>100</sub>, and their apparent activation energy (<b>C</b>,<b>D</b>), respectively.</p>
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<p>(<b>A</b>) Stress–strain curves of samples. (<b>B</b>) Comparison of mechanical properties of this work with relevant references as noted. [<a href="#B42-polymers-16-02280" class="html-bibr">42</a>,<a href="#B45-polymers-16-02280" class="html-bibr">45</a>,<a href="#B46-polymers-16-02280" class="html-bibr">46</a>,<a href="#B48-polymers-16-02280" class="html-bibr">48</a>,<a href="#B49-polymers-16-02280" class="html-bibr">49</a>,<a href="#B50-polymers-16-02280" class="html-bibr">50</a>,<a href="#B51-polymers-16-02280" class="html-bibr">51</a>] (<b>C</b>) Self-healing processes of OTSO<sub>100</sub>-PBAT<sub>100</sub> at 120 °C within 2.5 h.</p>
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10 pages, 249 KiB  
Article
Pathway to Fractional Integrals, Fractional Differential Equations, and Role of the H-Function
by Arak M. Mathai and Hans J. Haubold
Axioms 2024, 13(8), 546; https://doi.org/10.3390/axioms13080546 - 11 Aug 2024
Viewed by 209
Abstract
In this paper, the pathway model for the real scalar variable case is re-explored and its connections to fractional integrals, solutions of fractional differential equations, Tsallis statistics and superstatistics in statistical mechanics, the reaction-rate probability integral, Krätzel transform, pathway transform, etc., are explored. [...] Read more.
In this paper, the pathway model for the real scalar variable case is re-explored and its connections to fractional integrals, solutions of fractional differential equations, Tsallis statistics and superstatistics in statistical mechanics, the reaction-rate probability integral, Krätzel transform, pathway transform, etc., are explored. It is shown that the common thread in these connections is their H-function representations. The pathway parameter is shown to be connected to the fractional order in fractional integrals and fractional differential equations. Full article
(This article belongs to the Section Mathematical Physics)
23 pages, 8069 KiB  
Article
The Role of –OEt Substituents in Molybdenum-Assisted Pentathiepine Formation—Access to Diversely Functionalized Azines
by Roberto Tallarita, Lukas M. Jacobsen, Siva S. M. Bandaru, Benedict J. Elvers and Carola Schulzke
Molecules 2024, 29(16), 3806; https://doi.org/10.3390/molecules29163806 - 11 Aug 2024
Viewed by 260
Abstract
1,2,3,4,5-pentathiepines (PTEs) are naturally occurring polysulfides of increasing scientific interest based on their identified pharmacological activities. Artificial PTEs with N-heterocyclic backbones are efficiently synthesized via mediation by a molybdenum–oxo-bistetrasulfido complex. A common feature of all precursor alkynes successfully used to date in [...] Read more.
1,2,3,4,5-pentathiepines (PTEs) are naturally occurring polysulfides of increasing scientific interest based on their identified pharmacological activities. Artificial PTEs with N-heterocyclic backbones are efficiently synthesized via mediation by a molybdenum–oxo-bistetrasulfido complex. A common feature of all precursor alkynes successfully used to date in this reaction is the presence of a –CH(OEt)2 group since the previously postulated mechanism requires the presence of one OEt as the leaving group, and the second must become a transient ethoxonium moiety. This raised the question of whether there really is a need for two, maybe only one, or possibly even zero ethoxy substituents. This research problem was systematically addressed by respective variations in the precursor-alkyne derivatives and by employing one related allene species. It was found that the total absence of ethoxy substituents prevents the formation of PTEs entirely, while the presence of a single ethoxy group results in the possibility to distinctly functionalize the position on the resulting N-heterocyclic pyrrole five ring in the target compound. This position was previously exclusively occupied by an –OEt for all products of the molybdenum-mediated reaction. The allene was applied with similar success as precursor as with the related alkyne. The now-employable significant change in precursor composition gives access to a whole new PTE subfamily, allowing further modulation of (physico)-chemical properties such as solubility, and provides additional insight into the mechanism of PTE formation; it comprises a merely partial validation of the previous hypothesis. The new alkyne precursors and pentathiepines were characterized by a variety of instrumental analyses (NMR, mass spec, UV–vis) and in six cases (one alkyne precursor, one unexpected side product, and four PTEs) by single-crystal X-ray diffraction. Syntheses, isolation procedures, analytical data, and the impact of the findings on the previously proposed mechanism are described in detail herein. Full article
(This article belongs to the Special Issue Cyclization Reactions in Organic Synthesis: Recent Developments)
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<p>General reaction scheme for the synthesis of 1,2,3,4,5-pentathiepino[6,7-a]indolizines, from diversely substituted 2-(3-ethoxyprop-1-yn-1-yl)pyridines. In all previous reports: R = –OEt; in this report: R = –Me, –Ph, –CH<sub>2</sub>CH<sub>2</sub>OH, and –CH<sub>2</sub>CH<sub>2</sub>CH<sub>2</sub>OH. The blue digits represent the atom numbering scheme for this type of tricyclic pentathiepine.</p>
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<p>Most feasible general synthetic route for the preparation of the precursor alkynes bearing a single ethoxy substituent; retrosynthetic presentation with precursor numbering pattern to be used throughout.</p>
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<p>Proposed reaction mechanism(s) for the molybdenum-mediated pentathiepine formation. To the left: the originally proposed transformations [<a href="#B15-molecules-29-03806" class="html-bibr">15</a>]; to the right: those we consider more likely based on the observations described below. In the green boxes, events are shown that are strongly supported by the study presented here.</p>
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<p>Expected (<b>5b’</b>) and actual (<b>5b</b>, only traces found) reaction products employing precursor <b>4b</b>.</p>
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<p>(<b>Left</b>): Synthesis of <b>5c</b> from <b>4c</b> via the molybdenum-mediated pathway providing access to the first indolizine derived PTE lacking the usual –OEt on C-6. (<b>Right</b>): Molecular structure of <b>5c</b>. Ellipsoids are shown at the 50% probability level.</p>
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<p>UV–vis spectrum of <b>5c</b> compared to the reported spectrum of <b>5b</b> (both with normalized absorbance) showing that replacing an ethoxy by a methyl substituent has only a moderate impact on the frontier orbitals (i.e., the molecule’s electronic structure).</p>
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<p>Attempt to replace one –OEt group of <b>6</b> by a phenyl substituent leading to <b>8</b> instead. (<b>Top</b>): hypothesized reaction and product <b>4d</b>. (<b>Bottom</b>): Actual reaction/product <b>8</b> plus unreacted starting material. On the right: The postulated stabilized intermediate <b>9</b> likely supporting the formation of <b>8</b>.</p>
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<p>Synthesis of <b>2d</b>. N.B.: Lower temperatures lead to an increased amount of side products such as compound <b>12,</b> which was isolated from a reaction at −60 °C.</p>
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<p>Chemical (<b>left</b>) and molecular (<b>right</b>) structures of 1-phenylprop-2-yn-1-one <b>12</b>, the side product from the Grignard reaction conducted at −60 °C. Ellipsoids are shown at the 50% probability level.</p>
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<p>Sonogashira coupling reaction towards <b>3d</b> and complications arising from Lewis acid-supported or spontaneous rearrangements to <b>13</b>.</p>
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<p>Top: Irvine–Purdie etherification of <b>3d</b> to yield <b>4d</b> followed by pentathiepine formation of <b>5d</b>. Bottom: Failed Williamson etherification.</p>
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<p>(<b>Left</b>): Molecular structure of <b>5d</b>. Ellipsoids are shown at the 50% probability level. (<b>Right</b>): Superimposition of the structures of <b>5c</b> (methyl carbon shown in dark blue) and <b>5d</b> (phenyl carbons shown in green). Overlay computed and visualized with Mercury [<a href="#B38-molecules-29-03806" class="html-bibr">38</a>].</p>
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<p>(<b>Left</b>): Synthesis of precursors <b>4e</b> and <b>4f</b> from <b>6</b> and transformation to the pentathiepines <b>5e</b> and <b>5f</b>, bearing free alcohol functions linked aliphatically to carbon C-6. (<b>Right</b>): Incompletely reacted side product <b>14</b> in the reaction towards <b>4e</b>.</p>
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<p><sup>1</sup>H-NMR spectroscopic fingerprint sections for <b>5b</b> (<b>left</b>), <b>5e</b> (<b>center</b>), and <b>5f</b> (<b>right</b>), showing the diastereoisotopic –CH<sub>2</sub>– pattern, which confirms PTE formation for all known species bearing an –OCH<sub>2</sub>– moiety on the pyrrolic carbon C-6. (For full spectra, see previous publication for <b>5b</b> [<a href="#B16-molecules-29-03806" class="html-bibr">16</a>], <a href="#app1-molecules-29-03806" class="html-app">Figure S31</a> for <b>5e</b>, and <a href="#app1-molecules-29-03806" class="html-app">Figure S33</a> for <b>5f</b>.)</p>
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<p>Molecular structures of <b>5e</b> (<b>left</b>) and <b>5f</b> (<b>right</b>) with free alcohol functions attached to carbon C-6 by an aliphatic linker. Ellipsoids are shown at the 50% probability level. The structure of <b>5f</b> is disordered in the –C<sub>3</sub>H<sub>6</sub>OH chain; only the major component (accounting for 52% of occupancy) is shown.</p>
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<p>Synthesis of precursor <b>4g</b> from <b>4c</b> and transformation to the pentathiepine <b>5c</b> under standard conditions.</p>
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11 pages, 2207 KiB  
Article
The Effect of α-Fe2O3(0001) Surface Containing Hydroxyl Radicals and Ozone on the Formation Mechanism of Environmentally Persistent Free Radicals
by Danli Liang, Jiarong Liu, Chunlin Wang, Kaipeng Tu, Li Wang, Lili Qiu, Xiuhui Zhang and Ling Liu
Toxics 2024, 12(8), 582; https://doi.org/10.3390/toxics12080582 - 10 Aug 2024
Viewed by 376
Abstract
The formation of environmentally persistent free radicals (EPFRs) is mediated by the particulate matter's surface, especially transition metal oxide surfaces. In the context of current atmospheric complex pollution, various atmospheric components, such as key atmospheric oxidants ·OH and O3, are often [...] Read more.
The formation of environmentally persistent free radicals (EPFRs) is mediated by the particulate matter's surface, especially transition metal oxide surfaces. In the context of current atmospheric complex pollution, various atmospheric components, such as key atmospheric oxidants ·OH and O3, are often absorbed on particulate matter surfaces, forming particulate matter surfaces containing ·OH and O3. This, in turn, influences EPFRs formation. Here, density functional theory (DFT) calculations were used to explore the formation mechanism of EPFRs by C6H5OH on α-Fe2O3(0001) surface containing the ·OH and O3, and compare it with that on clean surface. The results show that, compared to EPFRs formation with an energy barrier on a clean surface, EPFRs can be rapidly formed through a barrierless process on these surfaces. Moreover, during the hydrogen abstraction mechanism leading to EPFRs formation, the hydrogen acceptor shifts from a surface O atom on a clean surface to an O atom of ·OH or O₃ on these surfaces. However, the detailed hydrogen abstraction process differs on surfaces containing oxidants: on surfaces containing ·OH, it occurs directly through a one-step mechanism, while, on surfaces containing O3, it occurs through a two-step mechanism. But, in both types of surfaces, the essence of this promotional effect mainly lies in increasing the electron transfer amounts during the reaction process. This research provides new insights into EPFRs formation on particle surfaces within the context of atmospheric composite pollution. Full article
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<p>The energy profile for the reaction of C<sub>6</sub>H<sub>5</sub>OH on the α-Fe<sub>2</sub>O<sub>3</sub>(0001) surface containing ·OH together with the corresponding structures. Energy is in kJ/mol, and bond length is in Å. Color code: Fe (blue), C (gray), O (red), and H (white). Line: O1-H1 (red line), O2-H1 (black line).</p>
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<p>The energy profile for the reaction of C<sub>6</sub>H<sub>5</sub>OH on the α-Fe<sub>2</sub>O<sub>3</sub>(0001)) surface containing O<sub>3</sub> together with the corresponding structures. Energy is in kJ/mol, and bond length is in Å. Color code: Fe (blue), C (gray), O (red), and H (white). Line: O1-H1 (red line), O2-H1 (black line).</p>
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<p>The adsorption energy of C<sub>6</sub>H<sub>5</sub>OH on the different surfaces: (<b>a</b>) clean α-Fe<sub>2</sub>O<sub>3</sub>(0001) surface, (<b>b</b>) α-Fe<sub>2</sub>O<sub>3</sub>(0001) surface containing ·OH and (<b>c</b>) α-Fe<sub>2</sub>O<sub>3</sub>(0001) surface containing O<sub>3</sub>. Energy is in kJ/mol.</p>
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<p>The amount of electron transfer during EPFRs formation: (<b>a</b>) clean α-Fe<sub>2</sub>O<sub>3</sub>(0001) surface, (<b>b</b>) α-Fe<sub>2</sub>O<sub>3</sub>(0001) surface containing ·OH, and (<b>c</b>) α-Fe<sub>2</sub>O<sub>3</sub>(0001) surface containing O<sub>3</sub>.</p>
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<p>The amount of electron transfer of surface on the different surfaces: (<b>a</b>) clean α-Fe<sub>2</sub>O<sub>3</sub>(0001) surface, (<b>b</b>) α-Fe<sub>2</sub>O<sub>3</sub>(0001) surface containing ·OH, and (<b>c</b>) α-Fe<sub>2</sub>O<sub>3</sub>(0001) surface containing O<sub>3</sub>.</p>
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<p>The amount of electron transfer of Fe site on the different surfaces: (<b>a</b>) clean α-Fe<sub>2</sub>O<sub>3</sub>(0001) surface, (<b>b</b>) α-Fe<sub>2</sub>O<sub>3</sub>(0001) surface containing ·OH, and (<b>c</b>) α-Fe<sub>2</sub>O<sub>3</sub>(0001) surface containing O<sub>3</sub>.</p>
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15 pages, 112653 KiB  
Article
Improving Mechanical Performance of Self-Binding Fiberboards from Untreated Perennial Low-Input Crops by Variation of Particle Size
by Lüders Moll, Alexander Klein, Sören Jannis Heidemann, Georg Völkering, Jessica Rumpf and Ralf Pude
Materials 2024, 17(16), 3982; https://doi.org/10.3390/ma17163982 - 10 Aug 2024
Viewed by 295
Abstract
Studies on self-binding hot-pressed fiberboards using agricultural byproducts aim to identify alternatives to scarce wood resources. Particle size and mixture significantly impact strength, although direct comparisons are difficult due to differences in study methods. We evaluated fiberboards made from the two perennial biomass [...] Read more.
Studies on self-binding hot-pressed fiberboards using agricultural byproducts aim to identify alternatives to scarce wood resources. Particle size and mixture significantly impact strength, although direct comparisons are difficult due to differences in study methods. We evaluated fiberboards made from the two perennial biomass crops Miscanthus and Paulownia and compared them to Picea (spruce), using five distinct particle size blends prepared from milled and sieved particles, respectively. The boards were evaluated for their modulus of elasticity, modulus of rupture, reaction to fire, water absorption, and thickness swelling. All specimens exhibited normal ignitability, as defined by Euroclass E according to EN13501-1. The results indicate that mechanical performance improves with increasing density, which correlates with higher proportions of finer particles. Notably, the finer Miscanthus blends and all Paulownia samples met the modulus of elasticity requirements of EN 622. Full article
(This article belongs to the Special Issue Recent Developments in Bio-Based Particleboards and Fiberboards)
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<p>Photographic depiction of of the three different biomass types. (<b>a</b>) <span class="html-italic">Picea</span> in mixed forest (second level). (<b>b</b>) Juvenile <span class="html-italic">Paulownia</span> Stand. (<b>c</b>) Established <span class="html-italic">Miscanthus</span> Stand.</p>
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<p>Schematic representation of the sequential steps involved in the production of a variant set, with a particular emphasis on the self-binding fiberboard acquisition process. The different particle size variants are composed of: V0 = native distribution &lt; 0.5 mm; and decreasing particle size from V1 = 0.25–0.5 mm (100%) to V5 = &lt; 0.25 mm (100%) in 25% intervals.</p>
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<p>Self-binding fiberboards of particle sizes V0 (left) to V5 (right) from the three different biomasses (<b>a</b>) <span class="html-italic">Picea</span>, (<b>b</b>) <span class="html-italic">Paulownia</span>, and (<b>c</b>) <span class="html-italic">Miscanthus</span>.</p>
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<p>Boxplots showing the density of self-binding fiberboards from the three biomass types <span class="html-italic">Picea</span>, <span class="html-italic">Paulownia</span> and <span class="html-italic">Miscanthus</span> depending on different particle size variants: V0 = native distribution &lt; 0.5 mm; and decreasing particle size from V1 = 0.25–0.5 mm (100%) to V5 = &lt; 0.25 mm (100%) in 25% intervals. Statistical significance is indicated by different letters, representing differences between means based on the Tukey-HSD test at a 95% significance level (<span class="html-italic">n</span> = 4).The boxplots consist of the central line representing the median value; the box edges show the 25th percentile (Q1) and 75th percentile (Q3) of the data, with the interquartile range (IQR) as range between Q1 and Q3, representing the middle 50% of the data. The whiskers extend from the edges of the box to the smallest and largest values within 1.5 times the IQR from the quartiles. (<b>a</b>) <span class="html-italic">Picea</span>. (<b>b</b>) <span class="html-italic">Paulownia</span>. (<b>c</b>) <span class="html-italic">Miscanthus</span>.</p>
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<p>Boxplots showing the Modulus of Elasticity (MOE) of self-binding fiberboards from the three biomass types <span class="html-italic">Picea</span>, <span class="html-italic">Paulownia</span> and <span class="html-italic">Miscanthus</span> depending on different particle size variants: V0 = native distribution &lt; 0.5 mm; and decreasing particle size from V1 = 0.25–0.5 mm (100%) to V5 = &lt; 0.25 mm (100%) in 25% intervals. The red line at 2300 N mm<sup>−2</sup> marks the threshold for dry load-bearing applications according to EN 622 [<a href="#B40-materials-17-03982" class="html-bibr">40</a>] standards. Statistical significance is indicated by different letters, representing differences between means based on the Tukey-HSD test at a 95% significance level (<span class="html-italic">n</span> = 4). The boxplots consist of the central line representing the median value; the box edges show the 25th percentile (Q1) and 75th percentile (Q3) of the data, with the IQR as range between Q1 and Q3, representing the middle 50% of the data. The whiskers extend from the edges of the box to the smallest and largest values within 1.5 times the IQR from the quartiles. (<b>a</b>) <span class="html-italic">Picea</span>. (<b>b</b>) <span class="html-italic">Paulownia</span>. (<b>c</b>) <span class="html-italic">Miscanthus</span>.</p>
Full article ">Figure 6
<p>Boxplots showing the Modulus of Rupture (MOR) of self-binding fiberboards from the three biomass types <span class="html-italic">Picea</span>, <span class="html-italic">Paulownia</span> and <span class="html-italic">Miscanthus</span> depending on different particle size variants: V0 = native distribution &lt; 0.5 mm; and decreasing particle size from V1 = 0.25–0.5 mm (100%) to V5 = &lt; 0.25 mm (100%) in 25% intervals. Statistical significance is indicated by different letters, representing differences between means based on the Tukey-HSD test at a 95% significance level (<span class="html-italic">n</span> = 4). The boxplots consist of the central line representing the median value; the box edges show the 25th percentile (Q1) and 75th percentile (Q3) of the data, with the IQR as range between Q1 and Q3, representing the middle 50% of the data. The whiskers extend from the edges of the box to the smallest and largest values within 1.5 times the IQR from the quartiles. (<b>a</b>) <span class="html-italic">Picea</span>. (<b>b</b>) <span class="html-italic">Paulownia</span>. (<b>c</b>) <span class="html-italic">Miscanthus</span>.</p>
Full article ">Figure 7
<p>Relationship between Modulus of Elasticity (MOE) and density, as well as Modulus of Rupture (MOR) and density for the three biomass types <span class="html-italic">Picea</span>, <span class="html-italic">Paulownia</span>, and <span class="html-italic">Miscanthus</span>. The coefficient of determination (R<sup>2</sup>) is provided, when the Mandel test favoured linear over quadratic function. (<b>a</b>) <span class="html-italic">Picea</span>. (<b>b</b>) <span class="html-italic">Paulownia</span>. (<b>c</b>) <span class="html-italic">Miscanthus</span>.</p>
Full article ">Figure 8
<p>Boxplots showing the Thickness Swelling (TS) and Water Absorption (WA) of self-binding fiberboards from the three biomass types <span class="html-italic">Picea</span>, <span class="html-italic">Paulownia</span> and <span class="html-italic">Miscanthus</span> depending on different particle size variants: V0 = native distribution &lt; 0.5 mm; and decreasing particle size from V1 = 0.25–0.5 mm (100%) to V5 = &lt; 0.25 mm (100%) in 25% intervals. Statistical significance is indicated by different letters, representing differences between means based on the Tukey-HSD test at a 95% significance level (<span class="html-italic">n</span> = 10). The boxplots consist of the central line representing the median value; the box edges show the 25th percentile (Q1) and 75th percentile (Q3) of the data, with the IQR as range between Q1 and Q3, representing the middle 50% of the data. The whiskers extend from the edges of the box to the smallest and largest values within 1.5 times the IQR from the quartiles. Outliers are marked by an empty circle. Due to the instability of measurements and significant sample losses (<span class="html-italic">n</span> &lt; 5), the variants V1 and V2 for <span class="html-italic">Miscanthus</span> have been marked by "NA" and been excluded from the plots and subsequent analysis. (<b>a</b>) TS of <span class="html-italic">Picea</span>. (<b>b</b>) TS of <span class="html-italic">Paulownia</span>. (<b>c</b>) TS of <span class="html-italic">Miscanthus</span>. (<b>d</b>) WA of <span class="html-italic">Picea</span>. (<b>e</b>) WA of <span class="html-italic">Paulownia</span>. (<b>f</b>) WA of <span class="html-italic">Miscanthus</span>.</p>
Full article ">Figure 9
<p>Boxplots showing the height of the damaged zone at 30 s flame exposure of self-binding fiberboards from the three biomass types <span class="html-italic">Picea</span>, <span class="html-italic">Paulownia</span> and <span class="html-italic">Miscanthus</span> depending on different particle size variants: V0 = native distribution &lt; 0.5 mm; and decreasing particle size from V1 = 0.25 – 0.5 mm (100%) to V5 = &lt; 0.25 mm (100%) in 25% intervals. Statistical significance is indicated by different letters, representing differences between means based on the Tukey-HSD test at a 95% significance level (<span class="html-italic">n</span> = 4). The boxplots consist of the central line representing the median value; the box edges show the 25th percentile (Q1) and 75th percentile (Q3) of the data, with the IQR as range between Q1 and Q3, representing the middle 50% of the data. The whiskers extend from the edges of the box to the smallest and largest values within 1.5 times the IQR from the quartiles. (<b>a</b>) <span class="html-italic">Picea</span>. (<b>b</b>) <span class="html-italic">Paulownia</span>. (<b>c</b>) <span class="html-italic">Miscanthus</span>.</p>
Full article ">
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