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Search Results (215)

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28 pages, 1604 KiB  
Review
The Metabolomic Footprint of Liver Fibrosis
by Diren Beyoğlu, Yury V. Popov and Jeffrey R. Idle
Cells 2024, 13(16), 1333; https://doi.org/10.3390/cells13161333 - 11 Aug 2024
Viewed by 457
Abstract
Both experimental and clinical liver fibrosis leave a metabolic footprint that can be uncovered and defined using metabolomic approaches. Metabolomics combines pattern recognition algorithms with analytical chemistry, in particular, 1H and 13C nuclear magnetic resonance spectroscopy (NMR), gas chromatography–mass spectrometry (GC–MS) [...] Read more.
Both experimental and clinical liver fibrosis leave a metabolic footprint that can be uncovered and defined using metabolomic approaches. Metabolomics combines pattern recognition algorithms with analytical chemistry, in particular, 1H and 13C nuclear magnetic resonance spectroscopy (NMR), gas chromatography–mass spectrometry (GC–MS) and various liquid chromatography–mass spectrometry (LC–MS) platforms. The analysis of liver fibrosis by each of these methodologies is reviewed separately. Surprisingly, there was little general agreement between studies within each of these three groups and also between groups. The metabolomic footprint determined by NMR (two or more hits between studies) comprised elevated lactate, acetate, choline, 3-hydroxybutyrate, glucose, histidine, methionine, glutamine, phenylalanine, tyrosine and citrate. For GC–MS, succinate, fumarate, malate, ascorbate, glutamate, glycine, serine and, in agreement with NMR, glutamine, phenylalanine, tyrosine and citrate were delineated. For LC–MS, only β-muricholic acid, tryptophan, acylcarnitine, p-cresol, valine and, in agreement with NMR, phosphocholine were identified. The metabolomic footprint of liver fibrosis was upregulated as regards glutamine, phenylalanine, tyrosine, citrate and phosphocholine. Several investigators employed traditional Chinese medicine (TCM) treatments to reverse experimental liver fibrosis, and a commentary is given on the chemical constituents that may possess fibrolytic activity. It is proposed that molecular docking procedures using these TCM constituents may lead to novel therapies for liver fibrosis affecting at least one-in-twenty persons globally, for which there is currently no pharmaceutical cure. This in-depth review summarizes the relevant literature on metabolomics and its implications in addressing the clinical problem of liver fibrosis, cirrhosis and its sequelae. Full article
(This article belongs to the Section Cellular Metabolism)
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<p>The de novo synthesis of ascorbic acid showing potential enzymes involved whose mRNA expression was determined using quantitative RT-PCR. Intermediates are G-6-P, glucose 6-phosphate; F-6-P, fructose 6-phosphate; G-1-P, glucose 1-phosphate; UDPG, uridine diphosphate glucose; UDPGA, uridine diphosphate glucuronic acid. The enzymes are GCK, glucokinase (HK4; EC 2.7.1.1); ADPGK, ADP-dependent glucokinase (EC 2.7.1.147); HK1, hexokinase 1 (EC 2.7.1.1); HK2, hexokinase 2 (EC 2.7.1.1); GPI, glucose 6-phosphate isomerase (EC 5.3.1.9); PGM1, phosphoglucomutase 1 (EC 5.4.2.2); UGP2, UDP-glucose pyrophosphorylase 2 (EC 2.7.7.9); UGDH, UDP glucose 6-dehydrogenase (EC 1.1.1.22); UGT1A1, UDP glucuronosyltransferase family 1 member A1 (EC 2.4.1.17); AKR1A4, aldo-keto reductase family 1, member A1 (aldehyde reductase; EC 1.1.1.2); AKR1B3, aldo-keto reductase family 1, member B3 (aldose reductase; EC 1.1.1.21); RGN, regucalcin (gluconolactonase; EC 3.1.1.17); GULO, gulonolactone oxidase (EC 1.1.3.8). Adapted from [<a href="#B164-cells-13-01333" class="html-bibr">164</a>] with permission.</p>
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<p>The treatments or the chemical constituents contained therein for experimental fibrosis in rodents. Picroside I [<a href="#B166-cells-13-01333" class="html-bibr">166</a>] and (–)-phylligenin [<a href="#B167-cells-13-01333" class="html-bibr">167</a>] were administered as such. Berberine is one of the isoquinoline alkaloids present in <span class="html-italic">Corydalis saxicola</span> Bunting [<a href="#B168-cells-13-01333" class="html-bibr">168</a>]. The ecdysone insect molting hormones are likely significant constituents of the ethanol extract of <span class="html-italic">Periplanata americana</span> (American cockroach) that comprises Ganlong capsules [<a href="#B169-cells-13-01333" class="html-bibr">169</a>]. Gypenoside XVII is a saponin extract derived from <span class="html-italic">Gynostemma pentaphyllum</span> [<a href="#B135-cells-13-01333" class="html-bibr">135</a>,<a href="#B141-cells-13-01333" class="html-bibr">141</a>]. Amarogentin is a secoiridoid glycoside from gentian root [<a href="#B138-cells-13-01333" class="html-bibr">138</a>]. Herbarulide and dankasterone A are from the popular edible fungus <span class="html-italic">Flammulina velutipes</span> [<a href="#B136-cells-13-01333" class="html-bibr">136</a>]. Forsythin and forsythiaside A are from Forsythiae fructus [<a href="#B137-cells-13-01333" class="html-bibr">137</a>].</p>
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<p>Venn diagram showing the upregulated metabolites in mouse, rat and human serum, urine, liver and feces discovered by NMR, GC–MS and LC–MS. Metabolites were included in each section if they had been reported in two or more studies. Note that no metabolites were discovered universally by all three analytical platforms or in common by GC–MS and LC–MS.</p>
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16 pages, 1496 KiB  
Article
Identification of Predictive Biomarkers of Lameness in Transition Dairy Cows
by Ana S. Cardoso, Alison Whitby, Martin J. Green, Dong-Hyun Kim and Laura V. Randall
Animals 2024, 14(14), 2030; https://doi.org/10.3390/ani14142030 - 10 Jul 2024
Viewed by 598
Abstract
The aim of this study was to identify with a high level of confidence metabolites previously identified as predictors of lameness and understand their biological relevance by carrying out pathway analyses. For the dairy cattle sector, lameness is a major challenge with a [...] Read more.
The aim of this study was to identify with a high level of confidence metabolites previously identified as predictors of lameness and understand their biological relevance by carrying out pathway analyses. For the dairy cattle sector, lameness is a major challenge with a large impact on animal welfare and farm economics. Understanding metabolic alterations during the transition period associated with lameness before the appearance of clinical signs may allow its early detection and risk prevention. The annotation with high confidence of metabolite predictors of lameness and the understanding of interactions between metabolism and immunity are crucial for a better understanding of this condition. Using liquid chromatography–tandem mass spectrometry (LC-MS/MS) with authentic standards to increase confidence in the putative annotations of metabolites previously determined as predictive for lameness in transition dairy cows, it was possible to identify cresol, valproic acid, and gluconolactone as L1, L2, and L1, respectively which are the highest levels of confidence in identification. The metabolite set enrichment analysis of biological pathways in which predictors of lameness are involved identified six significant pathways (p < 0.05). In comparison, over-representation analysis and topology analysis identified two significant pathways (p < 0.05). Overall, our LC-MS/MS analysis proved to be adequate to confidently identify metabolites in urine samples previously found to be predictive of lameness, and understand their potential biological relevance, despite the challenges of metabolite identification and pathway analysis when performing untargeted metabolomics. This approach shows potential as a reliable method to identify biomarkers that can be used in the future to predict the risk of lameness before calving. Validation with a larger cohort is required to assess the generalization of these findings. Full article
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<p>Sankey diagram showing the process for choosing the authentic standards to include in the LC-MS/MS analysis.</p>
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<p>Summary plot for ORA (adapted from Metaboanalyst 5.0).</p>
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<p>Network view of all enriched pathways (from Metaboanalyst 5.0). Each node (circle) within the network represents a set of metabolites. The colour and size of the nodes are based on their <span class="html-italic">p</span>-value and fold enrichment, respectively. Two nodes are connected by a line when they share more than 20% of metabolites.</p>
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12 pages, 420 KiB  
Article
Simple Sugars Alter the Odorant Composition of Dairy Cow Manure
by John H. Loughrin, Getahun E. Agga and Nanh Lovanh
Environments 2024, 11(7), 145; https://doi.org/10.3390/environments11070145 - 9 Jul 2024
Viewed by 552
Abstract
A study was conducted to determine if the odor profile of Bos taurus manure could be altered by the addition of the simple saccharides glucose, lactose, and sucrose. Sucrose was added to manure slurry at 0, 12.5, 25, 50, or 125 g L [...] Read more.
A study was conducted to determine if the odor profile of Bos taurus manure could be altered by the addition of the simple saccharides glucose, lactose, and sucrose. Sucrose was added to manure slurry at 0, 12.5, 25, 50, or 125 g L−1, while glucose and lactose were added at 0, 6.45, 13.2, 26.4, or 65.8 g L−1. One hundred mL slurries were incubated in capped bottles at 30 °C for four weeks. Biogas production was measured throughout the incubations, and the pH and concentrations of short-chain fatty acids were measured at the end of the incubations. Odor compounds of the final manure slurries were isolated by stir bar sorptive extraction and identified by stir bar gas chromatography/mass spectroscopy. Unamended manure had high concentrations of the typical manure malodorants phenol, p-cresol, p-ethylphenol, indole, and skatole. The addition of the sugars decreased these malodors in a dose-dependent manner. The addition of sugars shifted odor production to aliphatic esters including ethyl butyrate and propyl propanoate. The sugar-amended manure therefore had a different odor profile than the unamended manure did. The addition of sugar also caused the accumulation of short-chain fatty acids and, thus, decreased the pH of the manure. The production of lactic acid was particularly enhanced at high concentrations of sugar, suggesting that lactic acid bacteria could be responsible for changes in the odor profile. Future research will investigate if the addition of lesser concentrations of sugars or agricultural and food wastes rich in carbohydrates can reduce manure malodor. Full article
(This article belongs to the Special Issue Environments: 10 Years of Science Together)
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Graphical abstract

Graphical abstract
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<p>pH of cow manure treated with various concentrations of sugars after 28 days of incubation. Lines represent data fitted to a exponential decay model with r<sup>2</sup> = 0.891, 0.971, and 0.818 for glucose, lactose, and sucrose, respectively.</p>
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11 pages, 4107 KiB  
Article
Experimental Study on the Transport Properties of 12 Novel Deep Eutectic Solvents
by Jing Fan, Yuting Pan, Dazhi Gao and Hongwei Qu
Polymers 2024, 16(13), 1946; https://doi.org/10.3390/polym16131946 - 8 Jul 2024
Viewed by 536
Abstract
Deep eutectic solvents (DESs) are complex substances composed of two or three components, wherein hydrogen bond donors and acceptors engage in intricate interactions within a hydrogen bond network. They have attracted extensive attention from researchers due to their easy synthesis, cost-effectiveness, broad liquid [...] Read more.
Deep eutectic solvents (DESs) are complex substances composed of two or three components, wherein hydrogen bond donors and acceptors engage in intricate interactions within a hydrogen bond network. They have attracted extensive attention from researchers due to their easy synthesis, cost-effectiveness, broad liquid range, good stability, and for being green and non-toxic. However, studies on the physical properties of DESs are still scarce and many theories are not perfect enough, which limits the application of DESs in engineering practice. In this study, twelve DESs were synthesized by using choline chloride and betaine as HBAs, and ethylene glycol, polyethylene glycol 600, o-cresol, glycerol, and lactic acid as HBDs. The variation rules of their thermal conductivity and viscosity with temperature at atmospheric pressure were systematically investigated. The experimental results showed that the thermal conductivity of the 1:4 choline chloride/glycerol solvent was the largest at 294 K, reaching 0.2456 W·m−1·K−1, which could satisfy the demand for high efficiency heat transfer by heat-transferring workpieces. The temperature–viscosity relationship of the DESs was fitted using the Arrhenius model, and the maximum average absolute deviation was 6.77%. Full article
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<p>The preparation process of DESs.</p>
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<p>The thermal conductivity experimental system. 1. Sample bottle. 2. Peristaltic pump. 3. Injection valve. 4. Thermal conductivity measurement device. 5. Drain valve. 6. Vacuum valve. 7. Thermostatic bath. 8. Computer.</p>
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<p>(<b>a</b>) Variation in thermal conductivity of DESs with temperature; (<b>b</b>) variation in thermal conductivity of [ChCl][Gl]<sub>4</sub>, Gl, LA, EG, and O-cresol with temperature.</p>
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<p>Thermal conductivity deviation of DESs.</p>
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<p>DES viscosity variation with temperature.</p>
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<p>Linear relationship between <span class="html-italic">T</span><sup>−1</sup> and ln<span class="html-italic">η</span>.</p>
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11 pages, 607 KiB  
Article
Evaluating the Susceptibility of Different Crops to Smoke Taint
by Julie Culbert, Renata Ristic and Kerry Wilkinson
Horticulturae 2024, 10(7), 713; https://doi.org/10.3390/horticulturae10070713 - 5 Jul 2024
Viewed by 777
Abstract
The potential for grapes and wine to be tainted following vineyard exposure to wildfire smoke is well established, with recent studies suggesting hops and apples (and thus beer and cider) can be similarly affected. However, the susceptibility of other crops to ‘smoke taint’ [...] Read more.
The potential for grapes and wine to be tainted following vineyard exposure to wildfire smoke is well established, with recent studies suggesting hops and apples (and thus beer and cider) can be similarly affected. However, the susceptibility of other crops to ‘smoke taint’ has not yet been investigated. Smoke was applied to a selection of fruits and vegetables, as well as potted lavender plants, and their volatile phenol composition determined by gas chromatography–mass spectrometry to evaluate their susceptibility to contamination by smoke. Volatile phenols were observed in control (unsmoked) capsicum, cherry, lavender, lemon, spinach and tomato samples, typically at ≤18 µg/kg, but 52 µg/kg of guaiacol and 83–416 µg/kg of o- and m-cresol and 4-methylsyringol were detected in tomato and lavender samples, respectively. However, significant increases in volatile phenol concentrations were observed as a consequence of smoke exposure; with the highest volatile phenol levels occurring in smoke-exposed strawberry and lavender samples. Variation in the uptake of volatile phenols by different crops was attributed to differences in their physical properties, i.e., their surface area, texture and/or cuticle composition, while the peel of banana, lemon, and to a lesser extent apple samples, mitigated the permeation of smoke-derived volatile phenols into pulp. Results provide valuable insight into the susceptibility of different crops to smoke contamination. Full article
(This article belongs to the Section Biotic and Abiotic Stress)
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<p>Principal component analysis biplot of volatile phenol concentrations measured in different crops, following exposure to smoke.</p>
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26 pages, 8699 KiB  
Article
Environmentally Friendly o–Cresol–Furfural–Formaldehyde Resin as an Alternative to Traditional Phenol–Formaldehyde Resins for Paint Industry
by Marta Depta, Sławomir Napiórkowski, Katarzyna Zielińska, Katarzyna Gębura, Daria Niewolik and Katarzyna Jaszcz
Materials 2024, 17(13), 3072; https://doi.org/10.3390/ma17133072 - 22 Jun 2024
Viewed by 482
Abstract
This paper describes studies on the preparation of an o–cresol–furfural–formaldehyde resin in the presence of an alkaline catalyst and its modification with n-butanol or 2-ethylhexanol. The novelty of this research is to obtain a furfural-based resin of the resole type and its etherification. [...] Read more.
This paper describes studies on the preparation of an o–cresol–furfural–formaldehyde resin in the presence of an alkaline catalyst and its modification with n-butanol or 2-ethylhexanol. The novelty of this research is to obtain a furfural-based resin of the resole type and its etherification. Such resins are not described in the literature and also are not available on the market. The obtained resin based on furfural, which can be obtained from agricultural waste, had a low minimum content of free o–cresol < 1 wt.%, furfural < 0.1 wt.%, and formaldehyde < 0.1 wt.%. The resin structure was characterized by mass spectrometry (ESI-MS), FT-IR, and NMR spectroscopy, which showed the presence of hydroxymethylene groups in the resin before modification and alkyl groups derived from n-butanol and 2-ethylhexanol after modification. The etherified resins had a lower viscosity and were more flexible (DSC) than the resin before modification and they can be used as an environmentally friendly, safe, and sustainable alternative to traditional phenol–formaldehyde resins in the paint industry. They demonstrate the ability to create a protective coating with good adherence to metal substrates and an excellent balance of flexibility and hardness. Full article
(This article belongs to the Special Issue Advances in Biomass-Based Materials and Their Applications)
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<p>Negative ion mode ESI-MS mass spectrum for o–cresol–furfural resin at a molar ratio of 1:1.3, in the presence of 0.21 wt.% Na<sub>2</sub>CO<sub>3</sub> at 120–150 °C after a condensation reaction of 34 h.</p>
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<p>Reaction scheme of the condensation of o–cresol and furfural.</p>
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<p>Reaction scheme of activation of o–cresol–furfural resin with hydroxymethylene groups.</p>
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<p>ESI-MS mass spectrum in negative ion mode for the o–cresol–furfural–formaldehyde resin.</p>
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<p>FT-IR spectrum of unmodified o–cresol–furfural–formaldehyde resin.</p>
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<p>Possible structures along with the numbered carbon atoms (red wavy lines indicate possible attachment sites for subsequent molecules).</p>
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<p><sup>1</sup>H NMR spectrum of o–cresol–furfural–formaldehyde resin.</p>
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<p>Structures of furfurals with –CH<sub>2</sub>–OH and –CH<sub>2</sub>–O– groups attached.</p>
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<p>Partial HSQC spectrum showing the signals of methyl groups and protons of –CH– linkage (C<sub>8</sub>–H): ortho-ortho (o-o), ortho-para (o-p) and para-para (p-p).</p>
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<p>Partial HSQC spectrum showing the signals of hydroxymethylene groups, dimethylene ether bridges, protons and signals of –CH<sub>2</sub>–OH and –CH<sub>2</sub>–O– groups attached to furfural.</p>
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<p>DSC thermogram of unmodified o–cresol–furfural–formaldehyde resin.</p>
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<p>Mass spectrum of ESI-MS in negative ion mode for the o–cresol–furfural–formaldehyde resin etherified with n-butanol, in the presence of malonic acid used as a catalyst.</p>
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<p>Mass spectrum of ESI-MS in negative ion mode for o–cresol–furfural–formaldehyde resin etherified with n-butanol in the presence of oxalic acid used as a catalyst.</p>
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<p>FT−IR spectra of o–cresol–furfural–formaldehyde resin, unmodified and after modification with n-butanol: (<b>A</b>) range 4000–2500 cm<sup>−</sup><sup>1</sup>; (<b>B</b>) range 1700–600 cm<sup>−</sup><sup>1</sup>.</p>
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<p>The <sup>1</sup>H NMR spectrum of o–cresol–furfural–formaldehyderesin: (<b>A</b>) unmodified and (<b>B</b>) modified with n-butanol.</p>
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<p>DSC thermograms of o–cresol–furfural–formaldehyde resin modified with n−butanol.</p>
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<p>ESI-MS mass spectrum in negative ion mode for resin o–cresol–furfural–formaldehyde resin after etherification reaction with 2-ethylhexanol in the presence of malonic acid used as a catalyst.</p>
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<p>ESI-MS mass spectrum in negative ion mode for resin o–cresol–furfural–formaldehyde resin after etherification reaction with 2-ethylhexanol in the presence of oxalic acid used as a catalyst.</p>
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<p>FT-IR spectraof o–cresol–furfural–formaldehyde resin unmodified and modified with 2-ethylhexanol: (<b>A</b>) range 4000–2500 cm<sup>−</sup><sup>1</sup>; (<b>B</b>) range 1700–600 cm<sup>−</sup><sup>1</sup>.</p>
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<p>FT-IR spectraof o–cresol–furfural–formaldehyde resin unmodified and modified with 2-ethylhexanol: (<b>A</b>) range 4000–2500 cm<sup>−</sup><sup>1</sup>; (<b>B</b>) range 1700–600 cm<sup>−</sup><sup>1</sup>.</p>
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<p>The<sup>1</sup>H NMR spectra of resin: (<b>A</b>) unmodified and (<b>B</b>) modified with 2-ethylhexanol.</p>
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<p>DSC thermograms of o–cresol–furfural–formaldehyde resin modified with 2−ethylhexanol in 1st and 2nd runs of heating.</p>
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<p>The coatings obtained from o–cresol–furfural–formaldehyde resins, modified with (<b>A</b>) n-butanol, (<b>B</b>) 2-ethylhexanol, on an acid-resistant plate, after drying at 150 °C for 1 h.</p>
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11 pages, 1129 KiB  
Communication
Dietary Phosphorus Levels Influence Protein-Derived Uremic Toxin Production in Nephrectomized Male Rats
by Dennis P. Cladis, Kendal M. Burstad, Annabel Biruete, Amber H. Jannasch, Bruce R. Cooper and Kathleen M. Hill Gallant
Nutrients 2024, 16(12), 1807; https://doi.org/10.3390/nu16121807 - 8 Jun 2024
Viewed by 751
Abstract
Gut microbiota-derived uremic toxins (UT) accumulate in patients with chronic kidney disease (CKD). Dietary phosphorus and protein restriction are common in CKD treatment, but the relationship between dietary phosphorus, a key nutrient for the gut microbiota, and protein-derived UT is poorly studied. Thus, [...] Read more.
Gut microbiota-derived uremic toxins (UT) accumulate in patients with chronic kidney disease (CKD). Dietary phosphorus and protein restriction are common in CKD treatment, but the relationship between dietary phosphorus, a key nutrient for the gut microbiota, and protein-derived UT is poorly studied. Thus, we explored the relationship between dietary phosphorus and serum UT in CKD rats. For this exploratory study, we used serum samples from a larger study on the effects of dietary phosphorus on intestinal phosphorus absorption in nephrectomized (Nx, n = 22) or sham-operated (sham, n = 18) male Sprague Dawley rats. Rats were randomized to diet treatment groups of low or high phosphorus (0.1% or 1.2% w/w, respectively) for 1 week, with serum trimethylamine oxide (TMAO), indoxyl sulfate (IS), and p-cresol sulfate (pCS) analyzed by LC-MS. Nx rats had significantly higher levels of serum TMAO, IS, and pCS compared to sham rats (all p < 0.0001). IS showed a significant interaction between diet and CKD status, where serum IS was higher with the high-phosphorus diet in both Nx and sham rats, but to a greater extent in the Nx rats. Serum TMAO (p = 0.24) and pCS (p = 0.34) were not affected by dietary phosphorus levels. High dietary phosphorus intake for 1 week results in higher serum IS in both Nx and sham rats. The results of this exploratory study indicate that reducing dietary phosphorus intake in CKD may have beneficial effects on UT accumulation. Full article
(This article belongs to the Section Micronutrients and Human Health)
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<p>Formation of the uremic toxins (UT) trimethylamine-N-oxide (TMAO), indoxyl sulfate (IS), and p-cresol sulfate (pCS). Dietary choline, L-carnitine, tryptophan, tyrosine, and phenylalanine are metabolized by the gut microbiota to form trimethylamine (TMA), indole, and p-cresol. These precursor molecules are absorbed and transported to the liver where they are further metabolized by hepatic enzymes to form UT. (CutC = choline trimethylamine-lyase; CntAB = carnitine monooxygenase; CYP2E1 = cytochrome P450 family 2 subfamily E member 1; FMO3 = flavin-containing monooxygenase 3; Hpd = p-hydroxyphenylacetate decarboxylase; SULT1A1 = sulfotransferase family 1A member 1; ThiH = tyrosine lyase; TIL = tryptophanase (tryptophane indole-lyase)).</p>
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<p>Plasma blood urea nitrogen (BUN) at sacrifice (n = 7–11/group). Nx rats had significantly elevated plasma BUN levels, indicating reduced kidney function. * <span class="html-italic">p</span> &lt; 0.0001. Nx = 5/6th nephrectomized rats; P = phosphorus. Health status refers to sham vs. Nx. Data shown as mean ± SEM.</p>
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<p>Food consumption during 1 week low P (0.1% (<span class="html-italic">w</span>/<span class="html-italic">w</span>)) or high P (1.2% (<span class="html-italic">w</span>/<span class="html-italic">w</span>)) diets. (<b>A</b>) Total food consumption over 7d period on test diet. There were no significant differences between groups (<span class="html-italic">p</span>-values shown in figure). (<b>B</b>) Daily food consumption during 4 h/d time-restricted feeding for each day of study. Rats in all groups consumed more food as the intervention period progressed. Nx = 5/6th nephrectomized rats; P = phosphorus. Health status refers to sham vs. Nx. Data shown as mean ± SEM.</p>
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<p>Serum UT for all rats (n = 7–11/gp) at sacrifice. TMAO (<b>A</b>), pCS (<b>B</b>), and IS (<b>C</b>) were significantly higher in Nx vs. sham rats, though dietary phosphorus level only affected IS levels (<span class="html-italic">p</span>-values shown in figure). * <span class="html-italic">p</span> &lt; 0.0001; lowercase letters indicate significant differences between treatment groups compared to each other (<span class="html-italic">p</span> &lt; 0.05). TMAO = trimethylamine oxide; IS = indoxyl sulfate; pCS = p-cresol sulfate; Nx = 5/6th nephrectomized rats; P = phosphorus. Health status refers to sham vs. Nx. Data shown as mean ± SEM.</p>
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<p>Change in serum UT in a subset of rats (n = 3–4/gp) from baseline to sacrifice. TMAO decreased in all rats (<b>A</b>), with the absolute change being larger in Nx than sham rats (<b>B</b>), though the relative change was the same across all treatment groups (<b>C</b>). pCS increased in all rats (<b>D</b>), with the absolute change being larger in Nx than sham rats (<b>E</b>), though the relative change was not significantly different across treatment groups (<b>F</b>). IS increased in rats on the high P diet but decreased in rats on the low P diet (<b>G</b>,<b>H</b>), regardless of health status; the relative change in IS was significantly different based on dietary phosphorus level (<b>I</b>). Lowercase letters indicate significant differences between treatment groups (<span class="html-italic">p</span> &lt; 0.05). * <span class="html-italic">p</span> &lt; 0.001. TMAO = trimethylamine oxide; IS = indoxyl sulfate; pCS = p-cresol sulfate; Nx = 5/6th nephrectomized rats; P = phosphorus. Health status refers to sham vs. Nx. Data shown as mean ± SEM.</p>
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71 pages, 2773 KiB  
Review
Liquid Chromatography-Mass Spectrometry Analytical Methods for the Quantitation of p-Cresol Sulfate and Indoxyl Sulfate in Human Matrices: Biological Applications and Diagnostic Potentials
by Ala’a R. Al-Dajani, Qi Kun Hou and Tony K. L. Kiang
Pharmaceutics 2024, 16(6), 743; https://doi.org/10.3390/pharmaceutics16060743 - 30 May 2024
Viewed by 591
Abstract
Indoxyl sulfate (IxS) and p-cresyl sulfate (pCS) are toxic uremic compounds with documented pathological outcomes. This review critically and comprehensively analyzes the available liquid chromatography-mass spectrometry methods quantifying IxS and pCS in human matrices and the biological applications of [...] Read more.
Indoxyl sulfate (IxS) and p-cresyl sulfate (pCS) are toxic uremic compounds with documented pathological outcomes. This review critically and comprehensively analyzes the available liquid chromatography-mass spectrometry methods quantifying IxS and pCS in human matrices and the biological applications of these validated assays. Embase, Medline, PubMed, Scopus, and Web of Science were searched until December 2023 to identify assays with complete analytical and validation data (N = 23). Subsequently, citation analysis with PubMed and Scopus was utilized to identify the biological applications for these assays (N = 45). The extraction methods, mobile phase compositions, chromatography, and ionization methods were evaluated with respect to overall assay performance (e.g., sensitivity, separation, interference). Most of the assays focused on human serum/plasma, utilizing acetonitrile or methanol (with ammonium acetate/formate or formic/acetic acid), liquid–liquid extraction, reverse phase (e.g., C18) chromatography, and gradient elution for analyte separation. Mass spectrometry conditions were also consistent in the identified papers, with negative electrospray ionization, select multiple reaction monitoring transitions and deuterated internal standards being the most common approaches. The validated biological applications indicated IxS and/or pCS were correlated with renal disease progression and cardiovascular outcomes, with limited data on central nervous system disorders. Methods for reducing IxS and/or pCS concentrations were also identified (e.g., drugs, natural products, diet, dialysis, transplantation) where inconsistent findings have been reported. The clinical monitoring of IxS and pCS is gaining significant interest, and this review will serve as a useful compendium for scientists and clinicians. Full article
(This article belongs to the Section Pharmacokinetics and Pharmacodynamics)
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<p>Chemical structures for (<b>A</b>) indoxyl sulfate and (<b>B</b>) <span class="html-italic">p</span>-cresyl sulfate.</p>
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<p>Literature screening, exclusion, and inclusion. PBUTs: protein-bound uremic toxins. LC-MS/MS: high-performance liquid chromatography-mass spectrometry. IxS: indoxyl sulfate. <span class="html-italic">p</span>CS: <span class="html-italic">p</span>-cresyl sulfate. N: total number of papers remaining. PBUTs of the highest toxicological interest were determined according to a recent critical review [<a href="#B6-pharmaceutics-16-00743" class="html-bibr">6</a>].</p>
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<p>Literature screening, inclusion, and exclusion for the human biological applications of the validated high-performance liquid chromatography-mass spectrometry assays quantifying indoxyl sulfate and <span class="html-italic">p</span>-cresyl sulfate (in reference to <a href="#pharmaceutics-16-00743-f002" class="html-fig">Figure 2</a>). N: total number of biological applications remaining.</p>
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<p>Summary of common assay preparation, chromatography, and mass spectrometry conditions summarized in this review. ESI: electrospray ionization. IxS: indoxyl sulfate. <span class="html-italic">p</span>CS: <span class="html-italic">p</span>-cresyl sulfate. N: number of LC-MS/MS assays in each category. (–): negative ionization mode.</p>
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<p>Summary of the biological application data citing the validated LC-MS/MS assays included in the review. IxS: indoxyl sulfate. <span class="html-italic">p</span>CS: <span class="html-italic">p</span>-cresyl sulfate. LC-MS/MS: liquid chromatography-mass spectrometry. N: number of biological applications in each category.</p>
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22 pages, 6016 KiB  
Article
A Combined LC-MS and Immunoassay Approach to Characterize Preservative-Induced Destabilization of Human Papillomavirus Virus-like Particles Adsorbed to an Aluminum-Salt Adjuvant
by Ria T. Caringal, John M. Hickey, Nitya Sharma, Kaushal Jerajani, Oluwadara Bewaji, Sarah Brendle, Neil Christensen, Saurabh Batwal, Mustafa Mahedvi, Harish Rao, Vikas Dogar, Rahul Chandrasekharan, Umesh Shaligram, Sangeeta B. Joshi and David B. Volkin
Vaccines 2024, 12(6), 580; https://doi.org/10.3390/vaccines12060580 - 26 May 2024
Viewed by 1153
Abstract
During the multi-dose formulation development of recombinant vaccine candidates, protein antigens can be destabilized by antimicrobial preservatives (APs). The degradation mechanisms are often poorly understood since available analytical tools are limited due to low protein concentrations and the presence of adjuvants. In this [...] Read more.
During the multi-dose formulation development of recombinant vaccine candidates, protein antigens can be destabilized by antimicrobial preservatives (APs). The degradation mechanisms are often poorly understood since available analytical tools are limited due to low protein concentrations and the presence of adjuvants. In this work, we evaluate different analytical approaches to monitor the structural integrity of HPV16 VLPs adsorbed to Alhydrogel™ (AH) in the presence and absence of APs (i.e., destabilizing m-cresol, MC, or non-destabilizing chlorobutanol, CB) under accelerated conditions (pH 7.4, 50 °C). First, in vitro potency losses displayed only modest correlations with the results from two commonly used methods of protein analysis (SDS-PAGE, DSC). Next, results from two alternative analytical approaches provided a better understanding of physicochemical events occurring under these same conditions: (1) competitive ELISA immunoassays with a panel of mAbs against conformational and linear epitopes on HPV16 VLPs and (2) LC-MS peptide mapping to evaluate the accessibility/redox state of the 12 cysteine residues within each L1 protein comprising the HPV16 VLP (i.e., with 360 L1 proteins per VLP, there are 4320 Cys residues per VLP). These methods expand the limited analytical toolset currently available to characterize AH-adsorbed antigens and provide additional insights into the molecular mechanism(s) of AP-induced destabilization of vaccine antigens. Full article
(This article belongs to the Special Issue Recent Advances in Vaccine Adjuvants and Formulation)
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<p>Stability profile of AH-adsorbed HPV16 VLPs as a function of temperature, pH, and AP as determined by a competitive ELISA assay measuring V5 mAb binding. The AH-adsorbed HPV16 VLPs were prepared in formulation buffer at pH 6.5 (blue), 7.0 (red), or 7.4 (green), and stability was monitored over 5 weeks when stored at (<b>A</b>) 4 °C or (<b>B</b>) 50 °C in the absence of APs. The error bars represent the range from two replicates, and the slopes of linear regression fits (percent binding loss per week relative to Time 0) are reported. The dotted lines represent no V5 mAb binding. (<b>C</b>) Stability of AH-adsorbed HPV16 L1 VLPs in presence of various APs (27 mM CB; 72 mM 2-PE; 11 mM MP + 1 mM PP; 28 mM MC; 53 mM PH; 93 mM BA; or 0.25 mM TH) was measured after 24 h at pH 7.4 and 50 °C (see panel legend for indicated AP). The error bars represent 1 SD from three replicates, and the number symbol (#) denotes that no V5 binding was measured. An asterisk symbol (*) denotes that the V5 binding in the AP containing sample was significantly (<span class="html-italic">p</span> &lt; 0.05) lower compared to the control (no-AP) sample. Descriptions of formulation composition and stability study conditions are provided in the Supplemental section.</p>
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<p>DSC and SDS-PAGE analysis of AH-adsorbed HPV16 VLP samples, before and after stressed storage and with and without AP addition. Representative DSC thermograms of AH-adsorbed HPV16 VLPs (<b>A</b>) in the absence of an AP at Time 0 (black trace) and after incubation for 24 h at 50 °C (pink trace) or in the presence of (<b>B</b>) 27 mM CB or (<b>C</b>) 28 mM MC. (<b>D</b>) Summary of the average thermal melting temperature values of AH-adsorbed HPV16 VLPs with the error representing 1 SD from six replicates. An asterisk symbol (*) denotes that the measured Tm values in the HPV16 + CB (or MC) samples were statistically (<span class="html-italic">p</span> &lt; 0.05) lower compared to the control (0 h, HPV16 no-AP) sample. (<b>E</b>) Representative SDS-PAGE analysis of AH-HPV16 VLP samples under reducing conditions at Time 0 (T0) or after 24 h at 50 °C (24). The L1 monomer (black arrow) or dimer (blue arrow) band and higher-molecular-weight bands (number symbol, #) are indicated. The relative abundance of the dimer band in the MC containing sample after thermal stress (24 h, 50 °C) was ~20%, while the corresponding higher-molecular-weight bands were below the LOQ. Descriptions of formulation buffer (pH 7.4), AP concentration, and stability study conditions are provided in the Supplemental Methods section.</p>
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<p>Binding of specific mAbs (V5, A2, 7E, E70) to conformational epitopes on HPV16 VLP antigen formulated with AH adjuvant (adsorbed) in the absence or presence of APs. (<b>A</b>) Illustrative model of the known conformational mAb epitope binding sites on the HPV16 L1 pentamer (colored blue). The model was generated in <span class="html-italic">PyMol</span> Ver 2.0.3 using HPV16 L1 pentamer (PDB ID 3J7G) and known binding epitopes from the literature [<a href="#B22-vaccines-12-00580" class="html-bibr">22</a>,<a href="#B23-vaccines-12-00580" class="html-bibr">23</a>]. Please note that the binding epitopes for H16.V5 and H263.A2 are similar and are thus color-coded the same. The binding epitope for H16.E70 (no color) is currently unknown. (<b>B</b>) Representative competitive ELISA binding curves of AH-adsorbed HPV16 VLP samples with the H16.V5 mAb at Time 0 (<b>top</b>) or after 24 h at 4 °C or 50 °C (<b>bottom</b>) in the absence (no-AP) or presence of 27 mM CB or 28 mM MC. (<b>C</b>) Summary of antibody binding results of each individual conformational mAb to AH-adsorbed HPV16 VLPs after 24 h at 50 °C relative to Time 0 in the absence (no-AP) or presence of 27 mM CB or 28 mM MC. Descriptions of formulation buffer (pH 7.4) and stability study conditions are provided in the Supplemental Methods section. The error bars represent the range from two replicates, and the asterisk (*) denotes that no mAb binding was measured.</p>
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<p>Binding of specific mAbs (J4, H5, S1, B20) to linear epitopes on HPV16 VLP antigen formulated with AH adjuvant (adsorbed) in the absence or presence of APs. (<b>A</b>) Illustrative model of the known linear mAb epitope binding sites on the HPV16 L1 pentamer (colored blue). The model was generated in <span class="html-italic">PyMol</span> Ver. 2.0.3 using HPV16 L1 pentamer (PDB ID 3J7G) and known binding epitopes from the literature [<a href="#B22-vaccines-12-00580" class="html-bibr">22</a>,<a href="#B23-vaccines-12-00580" class="html-bibr">23</a>]. The binding epitope for H16.D9 (no color) is currently unknown. (<b>B</b>) Representative competitive ELISA binding curves of AH-adsorbed HPV16 L1 VLP samples to H16.H5 mAb at Time 0 (<b>top</b>) or after 24 h at 4 °C or 50 °C (<b>bottom</b>) in the absence (no-AP) or presence of 27 mM CB or 28 mM MC. (<b>C</b>) Summary of the antibody binding results of each individual linear mAb to AH-adsorbed HPV16 L1 VLPs after 24 h at 50 °C relative to Time 0 in the absence (no-AP) or presence of 27 mM CB or 28 mM MC. Inset for B20: representative binding curves for Time 0. Note that the extensively denatured HPV16 VLP sample (positive control—inset) displayed a sigmoidal curve, while all the other samples, including the reference sample, did not bind to the B20 mAb. There was no binding observed for the D9 mAb as well (<a href="#app1-vaccines-12-00580" class="html-app">Figure S2</a>). Descriptions of formulation buffer (pH 7.4) and stability study conditions are provided in the Supplemental Methods section. The error represents a range from two replicates, and the asterisk (*) denotes that no mAb binding was measured.</p>
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<p>Overview of the LC-MS peptide mapping assay workflow to measure the redox state and accessibility of Cys residues in HPV VLP antigens adsorbed to an aluminum-salt adjuvant. (<b>A</b>) Schematic of the key experimental steps with images created with <a href="http://BioRender.com" target="_blank">BioRender.com</a> (accessed 24 May 2023). (<b>B</b>) Illustrative model of HPV16 L1 pentamer (colored grey) in which one L1 monomer is colored blue and the positions of 11 out of the 12 Cys (C428 not modeled in crystal structure) are indicated in red. The image was created using <span class="html-italic">ProteinImager</span> (<a href="https://3dproteinimaging.com" target="_blank">https://3dproteinimaging.com</a>, accessed 21 April 2023) and an HPV16 L1 pentamer structure (PDB ID 2R5H) [<a href="#B25-vaccines-12-00580" class="html-bibr">25</a>]. (<b>C</b>) Summary of Cys residues within 10 Å relative to one or more residues comprising each known conformational or linear epitope binding site for indicated mAbs.</p>
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<p>Representative extracted ion chromatograms of IAM- or NEM-alkylated C146 in the E145-K152 peptide generated from an AH-adsorbed HPV16 VLP sample at Time 0 (T0, black traces) or after incubation for 24 h at 50 °C and pH 7.4 (blue traces). Samples were incubated in the absence of an AP (panels (<b>A</b>,<b>D</b>)) or in the presence of 27 mM CB (panels (<b>B</b>,<b>E</b>)) or 28 mM MC (panels (<b>C</b>,<b>F</b>)). Panels (<b>A</b>–<b>C</b>) display the ion abundance of the IAM- or -NEM-alkylated E145-K152 peptide, while panels (<b>D</b>–<b>F</b>) display the relative percent of ion abundance. Please note that the T0 chromatograms were offset for easier visualization.</p>
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<p>Summary of LC-MS peptide mapping quantitation of NEM-alkylated peptides containing Cys residues as generated from samples of unstressed and thermally stressed AH-adsorbed HPV16 VLP samples in the absence or presence of APs. Relative ion abundance of each NEM-alkylated Cys residue containing peptides generated from HPV16 L1 protein comprising the HPV16 VLPs is shown (<b>A</b>) in the absence of an AP or in the presence of (<b>B</b>) 27 mM CB or (<b>C</b>) 28 mM MC. Samples were evaluated both at time zero (T0) and after incubation for 24 h at 50 °C. The number (#) symbol denotes that no NEM-alkylated C175 was detected. The asterisk (*) symbol shows a significant difference (<span class="html-italic">p</span> &lt; 0.05) between the relative NEM alkylation levels at T0 vs. 24 h at 50C. Error bars represent 1 SD from triplicate samples. The Cys residues found within the epitope binding site of various mAbs are shown at the bottom. Conformational mAbs are in bold and underlined; the rest are surface linear or buried linear mAbs.</p>
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<p>Summary schematic of HPV16 L1 pentamer antigen within AH-adsorbed HPV16 VLP samples exposed to different stress conditions as shown by (1) epitope-specific changes observed from competitive ELISA using conformational and surface linear mAbs (purple) and (2) Cys residue accessibility changes from LC-MS peptide mapping quantitation (orange). Four storage conditions are shown with AH-adsorbed HPV16 VLP samples (left to right): (<b>A</b>) unstressed (control), (<b>B</b>) elevated temperature stress (50 °C, 24 h, pH 7.4), (<b>C</b>) elevated temperature stress and CB addition, and (<b>D</b>) elevated temperature stress and MC addition. Light grey or dark grey coloring indicates a 34–66% or &gt;66% loss of mAb binding; brown indicates a loss of Cys accessibility under the specified condition relative to Time 0. Each HPV16 L1 pentamer contains five HPV L1 proteins, and a total of 72 HPV pentamers self-assemble to form one HPV16 VLP (see text). Due to visualization limits, epitopes for buried linear mAbs are not shown.</p>
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12 pages, 1150 KiB  
Article
Extrusion of Sodium Hypochlorite in Oval-Shaped Canals: A Comparative Study of the Potential of Four Final Agitation Approaches Employing Agarose-Embedded Mandibular First Premolars
by Aalisha Parkar, Kulvinder Singh Banga, Ajinkya M. Pawar and Alexander Maniangat Luke
J. Clin. Med. 2024, 13(10), 2748; https://doi.org/10.3390/jcm13102748 - 7 May 2024
Viewed by 790
Abstract
Background: The aim of this investigation was to assess the apical extrusion potential of sodium hypochlorite (NaOCl) in agarose-embedded mandibular first premolars employing four final agitation procedures. Methods: Based on CBCT confirmation of single oval-shaped canals, one hundred extracted mandibular first premolars were [...] Read more.
Background: The aim of this investigation was to assess the apical extrusion potential of sodium hypochlorite (NaOCl) in agarose-embedded mandibular first premolars employing four final agitation procedures. Methods: Based on CBCT confirmation of single oval-shaped canals, one hundred extracted mandibular first premolars were chosen. Using 5.25% NaOCl, the teeth were prepared using the XP Endo Shaper and divided into experimental and control groups. The following were the experimental groups: Group 1 comprised the XP-Endo Finisher, Group 2 the Ultrasonic Activation, Group 3 the Gentle File Finisher Brush, and Group 4 the 27-gauge side-vented needle. To test extrusion, the teeth were placed in a 0.2% agarose gel that contained the pH-sensitive dye m-cresol purple, allowing pixel quantification via ImageJ software (version 1.54i). Results: The XP Endo Finisher featured the most pixels, depicting higher apical extrusion (p < 0.01), followed by the side-vented needle, Gentle File Finisher Brush, and PUI, while the Control Group endured no extrusion. Conclusions: The effective irrigation method for root canal therapy is critical, especially in situations of open apices, resorption, or perforation. According to in vitro experiments, the XP-Endo Finisher has the maximum sodium hypochlorite extrusion, which is determined by parameters such as apical preparation size and irrigation system. Full article
(This article belongs to the Special Issue New Frontiers in Endodontic Dentistry)
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<p><b>Specimen selection:</b> (<b>a</b>) teeth placed into a wax mold for assessment of the presence of oval-shaped canals; (<b>b</b>) buccolingual dimension of the canal at 4 mm from the apex; (<b>c</b>) mesiodistal dimension of the canal at 4 mm from the apex; (<b>d</b>) buccolingual diameter 2.5 times the canal’s mesiodistal diameter.</p>
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<p>Prepared tooth mounted in agarose gel and fixed using self-curing acrylic resin.</p>
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<p><b>Irrigation agitation/activation techniques:</b> (<b>a</b>) a gel model setup along with rubber dam, (<b>b</b>) the final agitation using an XP Endo Finisher, (<b>c</b>) the final agitation using a side-vented needle, (<b>d</b>) the final agitation using a Gentle File Finisher Brush, and (<b>e</b>) the final agitation using Passive Ultrasonic Activation.</p>
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<p><b>Evaluation of the extruded hypochlorite:</b> (<b>a</b>) the preoperative image before irrigation initiation and its corresponding pixel and (<b>b</b>) the postoperative image showing the extruded NaOCl in the agarose gel model and its corresponding pixel.</p>
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16 pages, 1745 KiB  
Article
Investigation of Effects of Novel Bifidobacterium longum ssp. longum on Gastrointestinal Microbiota and Blood Serum Parameters in a Conventional Mouse Model
by Merle Rätsep, Kalle Kilk, Mihkel Zilmer, Sirje Kuusik, Liina Kuus, Mirjam Vallas, Oksana Gerulis, Jelena Štšepetova, Aivar Orav and Epp Songisepp
Microorganisms 2024, 12(4), 840; https://doi.org/10.3390/microorganisms12040840 - 22 Apr 2024
Cited by 1 | Viewed by 932
Abstract
Representatives of the genus Bifidobacterium are widely used as probiotics to modulate the gut microbiome and alleviate various health conditions. The action mechanisms of probiotics rely on their direct effect on the gut microbiota and the local and systemic effect of its metabolites. [...] Read more.
Representatives of the genus Bifidobacterium are widely used as probiotics to modulate the gut microbiome and alleviate various health conditions. The action mechanisms of probiotics rely on their direct effect on the gut microbiota and the local and systemic effect of its metabolites. The main purpose of this animal experiment was to assess the biosafety of the Bifidobacterium longum strain BIOCC1719. Additional aims were to characterise the influence of the strain on the intestinal microbiota and the effect on several health parameters of the host during 15- and 30-day oral administration of the strain to mice. The strain altered the gut microbial community, thereby altering luminal short-chain fatty acid metabolism, resulting in a shift in the proportions of acetic, butyric, and propionic acids in the faeces and serum of the test group mice. Targeted metabolic profiling of serum revealed the possible ability of the strain to positively affect the hosts’ amino acids and bile acids metabolism, as the cholic acid, deoxycholic acid, aspartate, and glutamate concentration were significantly higher in the test group. The tendency to increase anti-inflammatory polyamines (spermidine, putrescine) and neuroprotective 3-indolepropionic acid metabolism and to lower uremic toxins (P-cresol-SO4, indoxyl-SO4) was registered. Thus, B. longum BIOCC1719 may exert health-promoting effects on the host through modulation of the gut microbiome and the host metabolome via inducing the production of health-promoting bioactive compounds. The health effects of the strain need to be confirmed in clinical trials with human volunteers. Full article
(This article belongs to the Special Issue Probiotics, Prebiotics, and Gut Microbes)
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<p>Experimental design.</p>
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<p>Principal coordinate analysis (PCoA) plot of bacterial communities in faecal samples based at genus level. PCoA plot demonstrates clustering of different samples per cage. Fifteen-day intervention period: CG1—control group, TG1—test group; thirty-day intervention period: TG2—test group, CG2—control group.</p>
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<p>Dynamics of faecal microbial communities in mouse faeces on phylum (<b>a</b>) and genera (<b>b</b>) levels. Faecal samples were collected per cage during the three days prior to the feeding trial; CG—control group, TG—test group.</p>
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<p>Short-chain fatty acid proportions (%) in faecal and serum samples of mice after (<b>a</b>) 15-day and (<b>b</b>) 30-day intervention periods. CG—control group, TG—test group; tot-BCFA—total branched-chain fatty acids: isobutyric acid and isovaleric acid.</p>
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14 pages, 1780 KiB  
Article
Emission Characteristics of Odorous Compounds from a Swine Farm on Jeju Island, Korea
by Jung-Min Song
Atmosphere 2024, 15(3), 327; https://doi.org/10.3390/atmos15030327 - 6 Mar 2024
Cited by 1 | Viewed by 903
Abstract
This study investigated 26 malodorous substances emitted from a swine farm on Jeju Island, South Korea, to discern their specific emission characteristics and potential implications for workers’ health and environmental management. A detailed analysis of emissions from livestock buildings, the compost facility, and [...] Read more.
This study investigated 26 malodorous substances emitted from a swine farm on Jeju Island, South Korea, to discern their specific emission characteristics and potential implications for workers’ health and environmental management. A detailed analysis of emissions from livestock buildings, the compost facility, and the manure storage tank was conducted. Accurate quantification involved rigorous collection methods measuring concentrations of NH3, hydrogen sulfide (H2S), trimethylamine (TMA), aldehyde compounds, volatile organic compounds (VOCs), volatile fatty acids (VFAs), p-cresol, indole, and skatole. High concentrations of NH3 and H2S, particularly in the manure storage tank, raised concerns about the health of workers. TMA levels were notably elevated in the livestock building, whereas aldehydes and VOCs remained within limits. VFAs were prevalent in the livestock building, with p-cresol, indole, and skatole in the manure storage tank. Distinct emission profiles across farm facilities highlight the need for tailored odor management strategies, ensuring worker well-being and effective environmental practices. These findings offer valuable insights for implementing targeted mitigation measures in similar agricultural settings. Full article
(This article belongs to the Section Air Quality and Human Health)
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<p>Comparisons of ammonia concentrations in the nursery pig house, growing pig house, finishing pig house, compost facility, and manure storage tank (n = 4).</p>
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<p>Comparisons of TMA concentrations in the nursery pig house, growing pig house, finishing pig house, compost facility, and manure storage tank (n = 4).</p>
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<p>Comparisons of the concentrations of sulfur compounds in the nursery pig house, growing pig house, finishing pig house, compost facility, and manure storage tank (n = 4).</p>
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<p>Comparisons of the concentrations of aldehyde compounds in the nursery pig house, growing pig house, finishing pig house, compost facility, and manure storage tank (n = 4).</p>
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<p>Comparisons of VOC concentrations in the nursery pig house, growing pig house, finishing pig house, compost facility, and manure storage tank (n = 4).</p>
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<p>Comparisons of VFA concentrations in the nursery pig house, growing pig house, finishing pig house, compost facility, and manure storage tank (n = 4).</p>
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<p>Comparisons of phenolic and IND compound concentrations in the nursery pig house, growing pig house, finishing pig house, compost facility, and manure storage tank (n = 4).</p>
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<p>Comparisons of odor contributions of different swine facilities and chemical components.</p>
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16 pages, 78304 KiB  
Article
Fractal Fractional Derivative Models for Simulating Chemical Degradation in a Bioreactor
by Ali Akgül and J. Alberto Conejero
Axioms 2024, 13(3), 151; https://doi.org/10.3390/axioms13030151 - 26 Feb 2024
Cited by 2 | Viewed by 985
Abstract
A three-differential-equation mathematical model is presented for the degradation of phenol and p-cresol combination in a bioreactor that is continually agitated. The stability analysis of the model’s equilibrium points, as established by the study, is covered. Additionally, we used three alternative kernels to [...] Read more.
A three-differential-equation mathematical model is presented for the degradation of phenol and p-cresol combination in a bioreactor that is continually agitated. The stability analysis of the model’s equilibrium points, as established by the study, is covered. Additionally, we used three alternative kernels to analyze the model with the fractal–fractional derivatives, and we looked into the effects of the fractal size and fractional order. We have developed highly efficient numerical techniques for the concentration of biomass, phenol, and p-cresol. Lastly, numerical simulations are used to illustrate the accuracy of the suggested method. Full article
(This article belongs to the Special Issue Advances in Dynamical Systems and Control)
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<p>Solutions of (14)–(16) for <math display="inline"><semantics> <mrow> <mi>β</mi> <mo>=</mo> <mn>1</mn> </mrow> </semantics></math>, fractal dimension 1, and <math display="inline"><semantics> <mrow> <mi>α</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mn>0.9</mn> <mo>,</mo> <mn>0.8</mn> <mo>,</mo> <mn>0.7</mn> </mrow> </semantics></math> with the power-law kernel.</p>
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<p>Solutions of (14)–(16) for <math display="inline"><semantics> <mrow> <mi>β</mi> <mo>=</mo> <mn>1</mn> </mrow> </semantics></math>, fractal dimension <math display="inline"><semantics> <mrow> <mn>0.8</mn> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <mi>α</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mn>0.9</mn> <mo>,</mo> <mn>0.8</mn> <mo>,</mo> <mn>0.7</mn> </mrow> </semantics></math> with the power-law kernel.</p>
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<p>Solutions of (14)–(16) for <math display="inline"><semantics> <mrow> <mi>β</mi> <mo>=</mo> <mn>0.5</mn> </mrow> </semantics></math>, fractal dimension 1, and <math display="inline"><semantics> <mrow> <mi>α</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mn>0.9</mn> <mo>,</mo> <mn>0.8</mn> <mo>,</mo> <mn>0.7</mn> </mrow> </semantics></math> with the power-law kernel.</p>
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<p>Solutions of (14)–(16) for <math display="inline"><semantics> <mrow> <mi>β</mi> <mo>=</mo> <mn>0.5</mn> </mrow> </semantics></math>, fractal dimension <math display="inline"><semantics> <mrow> <mn>0.9</mn> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <mi>α</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mn>0.9</mn> <mo>,</mo> <mn>0.8</mn> <mo>,</mo> <mn>0.7</mn> </mrow> </semantics></math> with the power-law kernel.</p>
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<p>Solutions of (39)–(41) for <math display="inline"><semantics> <mrow> <mi>β</mi> <mo>=</mo> <mn>1</mn> </mrow> </semantics></math>, fractal dimension 1, and <math display="inline"><semantics> <mrow> <mi>α</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mn>0.9</mn> <mo>,</mo> <mn>0.8</mn> <mo>,</mo> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <mn>0.7</mn> </mrow> </semantics></math> with exponential decay kernel.</p>
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<p>Solutions of (39)–(41) for <math display="inline"><semantics> <mrow> <mi>β</mi> <mo>=</mo> <mn>1</mn> </mrow> </semantics></math>, fractal dimension <math display="inline"><semantics> <mrow> <mn>0.7</mn> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <mi>α</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mn>0.9</mn> <mo>,</mo> <mn>0.8</mn> <mo>,</mo> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <mn>0.7</mn> </mrow> </semantics></math> with exponential decay kernel.</p>
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<p>Solutions of (39)–(41) for <math display="inline"><semantics> <mrow> <mi>β</mi> <mo>=</mo> <mn>0.8</mn> </mrow> </semantics></math>, fractal dimension 1, and <math display="inline"><semantics> <mrow> <mi>α</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mn>0.9</mn> <mo>,</mo> <mn>0.8</mn> <mo>,</mo> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <mn>0.7</mn> </mrow> </semantics></math> with exponential decay kernel.</p>
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<p>Solutions of (39)–(41) for <math display="inline"><semantics> <mrow> <mi>β</mi> <mo>=</mo> <mn>0.8</mn> </mrow> </semantics></math>, fractal dimension <math display="inline"><semantics> <mrow> <mn>0.7</mn> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <mi>α</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mn>0.9</mn> <mo>,</mo> <mn>0.8</mn> <mo>,</mo> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <mn>0.7</mn> </mrow> </semantics></math> with exponential decay kernel.</p>
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<p>Solutions of (54)–(56) for <math display="inline"><semantics> <mrow> <mi>β</mi> <mo>=</mo> <mn>1</mn> </mrow> </semantics></math>, fractal dimension 1, and <math display="inline"><semantics> <mrow> <mi>α</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mn>0.9</mn> <mo>,</mo> <mn>0.8</mn> <mo>,</mo> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <mn>0.7</mn> </mrow> </semantics></math> with Mittag–Leffler kernel.</p>
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<p>Solutions of (39)–(41) for <math display="inline"><semantics> <mrow> <mi>β</mi> <mo>=</mo> <mn>1</mn> </mrow> </semantics></math>, fractal dimension <math display="inline"><semantics> <mrow> <mn>0.5</mn> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <mi>α</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mn>0.9</mn> <mo>,</mo> <mn>0.8</mn> <mo>,</mo> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <mn>0.7</mn> </mrow> </semantics></math> with Mittag–Leffler kernel.</p>
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<p>Solutions of (39)–(41) for <math display="inline"><semantics> <mrow> <mi>β</mi> <mo>=</mo> <mn>0.5</mn> </mrow> </semantics></math>, fractal dimension 1, and <math display="inline"><semantics> <mrow> <mi>α</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mn>0.9</mn> <mo>,</mo> <mn>0.8</mn> <mo>,</mo> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <mn>0.7</mn> </mrow> </semantics></math> with Mittag–Leffler kernel.</p>
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<p>Solutions of (39)–(41) for <math display="inline"><semantics> <mrow> <mi>β</mi> <mo>=</mo> <mn>0.5</mn> </mrow> </semantics></math>, fractal dimension <math display="inline"><semantics> <mrow> <mn>0.6</mn> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <mi>α</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mn>0.9</mn> <mo>,</mo> <mn>0.8</mn> <mo>,</mo> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <mn>0.7</mn> </mrow> </semantics></math> with Mittag–Leffler kernel.</p>
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19 pages, 2091 KiB  
Article
Analysis of Relationships between Metabolic Changes and Selected Nutrient Intake in Women Environmentally Exposed to Arsenic
by Monika Sijko-Szpańska and Lucyna Kozłowska
Metabolites 2024, 14(1), 75; https://doi.org/10.3390/metabo14010075 - 22 Jan 2024
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Abstract
Nutrients involved in the metabolism of inorganic arsenic (iAs) may play a crucial role in mitigating the adverse health effects associated with such exposure. Consequently, the objective of this study was to analyze the association between the intake levels of nutrients involved in [...] Read more.
Nutrients involved in the metabolism of inorganic arsenic (iAs) may play a crucial role in mitigating the adverse health effects associated with such exposure. Consequently, the objective of this study was to analyze the association between the intake levels of nutrients involved in iAs metabolism and alterations in the metabolic profile during arsenic exposure. The study cohort comprised environmentally exposed women: WL (lower total urinary arsenic (As), n = 73) and WH (higher As, n = 73). The analysis included urinary untargeted metabolomics (conducted via liquid chromatography–mass spectrometry) and the assessment of nutrient intake involved in iAs metabolism, specifically methionine, vitamins B2, B6, and B12, folate, and zinc (based on 3-day dietary records of food and beverages). In the WL group, the intake of all analyzed nutrients exhibited a negative correlation with 5 metabolites (argininosuccinic acid, 5-hydroxy-L-tryptophan, 11-trans-LTE4, mevalonic acid, aminoadipic acid), while in the WH group, it correlated with 10 metabolites (5-hydroxy-L-tryptophan, dihyroxy-1H-indole glucuronide I, 11-trans-LTE4, isovalerylglucuronide, 18-oxocortisol, 3-hydroxydecanedioic acid, S-3-oxodecanoyl cysteamine, L-arginine, p-cresol glucuronide, thromboxane B2). Furthermore, nutrient intake demonstrated a positive association with 3 metabolites in the WL group (inosine, deoxyuridine, glutamine) and the WH group (inosine, N-acetyl-L-aspartic acid, tetrahydrodeoxycorticosterone). Altering the intake of nutrients involved in iAs metabolism could be a pivotal factor in reducing the negative impact of arsenic exposure on the human body. This study underscores the significance of maintaining adequate nutrient intake, particularly in populations exposed to arsenic. Full article
(This article belongs to the Section Nutrition and Metabolism)
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<p>Study design. Abbreviations: As—total urinary arsenic; WL—the group of women with lower total urinary arsenic; WH—the group of women with higher total urinary arsenic.</p>
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<p>Analysis of fold change in metabolite features between WL and WH groups. Abbreviations: WL—the group of women with lower total urinary arsenic; WH—the group of women with higher total urinary arsenic.</p>
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<p>The receiver operating characteristic curves of biomarker and box-plot of the signal intensity of the metabolites between two groups WL and WH: (<b>a</b>) mevalonic acid; (<b>b</b>) 18-oxocortisol; (<b>c</b>) 5-hydroxy-L-tryptophan; (<b>d</b>) isovalerylglucuronide; (<b>e</b>) S-3-oxodecanoyl cysteamine; (<b>f</b>) dihyroxy-1H-indole glucuronide I. The sensitivity is on the y-axis, and the specificity is on the x-axis. The area under the curve is in blue. Abbreviations: WL—the group of women with lower total urinary arsenic; WH—the group of women with higher total urinary arsenic.</p>
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<p>Negative association between intake of nutrients involved in iAs metabolism and putatively annotated metabolites and related potential adverse health effects.</p>
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19 pages, 7994 KiB  
Article
Catalysts Based on Iron Oxides for Wastewater Purification from Phenolic Compounds: Synthesis, Physicochemical Analysis, Determination of Catalytic Activity
by Binara T. Dossumova, Larissa R. Sassykova, Tatyana V. Shakiyeva, Dinara Muktaly, Aigul A. Batyrbayeva and Madina A. Kozhaisakova
ChemEngineering 2024, 8(1), 8; https://doi.org/10.3390/chemengineering8010008 - 1 Jan 2024
Viewed by 2002
Abstract
In this work, the synthesis of magnetite nanoparticles and catalysts based on it stabilized with silicon and aluminum oxides was carried out. It is revealed that the stabilization of the magnetite surface by using aluminum and silicon oxides leads to a decrease in [...] Read more.
In this work, the synthesis of magnetite nanoparticles and catalysts based on it stabilized with silicon and aluminum oxides was carried out. It is revealed that the stabilization of the magnetite surface by using aluminum and silicon oxides leads to a decrease in the size of magnetite nanocrystals in nanocomposites (particle diameter less than ~10 nm). The catalytic activity of the obtained catalysts was evaluated during the oxidation reaction of phenol, pyrocatechin and cresol with oxygen. It is well known that phenolic compounds are among the most dangerous water pollutants. The effect of phenol concentration and the effect of temperature (303–333 K) on the rate of oxidation of phenol to Fe3O4/SiO2 has been studied. It has been determined that the dependence of the oxidation rate of phenol on the initial concentration of phenol in solution is described by a first-order equation. At temperatures of 303–313 K, incomplete absorption of the calculated amount of oxygen is observed, and the analysis data indicate the non-selective oxidation of phenol. Intermediate products, such as catechin, hydroquinone, formic acid, oxidation products, were found. The results of UV and IR spectroscopy showed that catalysts based on magnetite Fe3O4 are effective in the oxidation of phenol with oxygen. In the UV spectrum of the product in the wavelength range 190–1100 nm, there is an absorption band at a wavelength of 240–245 nm and a weak band at 430 nm, which is characteristic of benzoquinone. In the IR spectrum of the product, absorption bands were detected in the region of 1644 cm−1, which is characteristic of the oscillations of the C=O bonds of the carbonyl group of benzoquinone. The peaks also found at 1353 cm−1 and 1229 cm−1 may be due to vibrations of the C-H and C-C bonds of the quinone ring. It was found that among the synthesized catalysts, the Fe3O4/SiO2 catalyst demonstrated the greatest activity in the reaction of liquid-phase oxidation of phenol. Full article
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<p>X-ray diffraction patterns of magnetite Fe<sub>3</sub>O<sub>4</sub> (<b>a</b>), Fe<sub>3</sub>O<sub>4</sub> stabilized Al<sub>2</sub>O<sub>3</sub> (<b>b</b>) and Fe<sub>3</sub>O<sub>4</sub> stabilized SiO<sub>2</sub> (<b>c</b>).</p>
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<p>X-ray diffraction patterns of magnetite Fe<sub>3</sub>O<sub>4</sub> (<b>a</b>), Fe<sub>3</sub>O<sub>4</sub> stabilized Al<sub>2</sub>O<sub>3</sub> (<b>b</b>) and Fe<sub>3</sub>O<sub>4</sub> stabilized SiO<sub>2</sub> (<b>c</b>).</p>
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<p>Size distribution of magnetite nanoparticles. The black line with an arrow represents the cumulative percentage curve. The red line with a red arrow is the distribution of particles along the largest chord.</p>
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<p>Mössbauer spectrum of magnetite Fe<sub>3</sub>O<sub>4</sub> (<b>a</b>), Fe<sub>3</sub>O<sub>4</sub> stabilized by Al<sub>2</sub>O<sub>3</sub> (<b>b</b>) and SiO<sub>2</sub> (<b>c</b>).</p>
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<p>Mössbauer spectrum of magnetite Fe<sub>3</sub>O<sub>4</sub> (<b>a</b>), Fe<sub>3</sub>O<sub>4</sub> stabilized by Al<sub>2</sub>O<sub>3</sub> (<b>b</b>) and SiO<sub>2</sub> (<b>c</b>).</p>
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<p>Fe<sub>3</sub>O<sub>4</sub>/Al<sub>2</sub>O<sub>3</sub>: (<b>a</b>) and (<b>d</b>) X-ray fluorescence spectrum; (<b>b</b>) and (<b>c</b>) SEM images (the image magnification is 20,000).</p>
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<p>Fe<sub>3</sub>O<sub>4</sub>/SiO<sub>2</sub>: (<b>a</b>) X-ray fluorescence spectrum; (<b>b</b>) and (<b>c</b>) -SEM images (the image magnification is 30,000).</p>
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<p>IR spectra: (<b>a</b>) pure magnetite; (<b>b</b>) magnetite stabilized with SiO<sub>2</sub>; (<b>c</b>) magnetite stabilized with Al<sub>2</sub>O<sub>3</sub>.</p>
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<p>IR spectra: (<b>a</b>) pure magnetite; (<b>b</b>) magnetite stabilized with SiO<sub>2</sub>; (<b>c</b>) magnetite stabilized with Al<sub>2</sub>O<sub>3</sub>.</p>
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<p>Oxidation of phenol with oxygen on the catalysts: Fe<sub>3</sub>O<sub>4</sub>, Fe<sub>3</sub>O<sub>4</sub>/Al<sub>2</sub>O<sub>3</sub>, and Fe<sub>3</sub>O<sub>4</sub>/SiO<sub>2</sub>: dependence of oxygen absorption rate from the amount of oxygen absorbed, at T = 343 K, P<sub>atm</sub> = 93.7 kPa, pH = 5–6.</p>
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<p>Absorption spectra of the initial aqueous solution of phenol and the reaction product.</p>
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<p>Oxidation of phenol, pyrocatechol and cresol with oxygen in the presence of Fe<sub>3</sub>O/SiO<sub>2</sub>: dependence of the rate of oxygen absorption on the amount of absorbed oxygen at T = 343 K, P<sub>atm</sub> = 93.7 kPa, pH = 5–6.</p>
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<p>Oxidation of phenol with oxygen in the presence of Fe<sub>3</sub>O<sub>4</sub>/SiO<sub>2</sub> at T = 333 K, C<sub>C2H5OH</sub>·10, mol/L: 1–0.5; 2–1.0; 3–2.0; 4–3.0.</p>
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<p>The IR spectra of the product of oxidation of phenol with oxygen in the presence of Fe<sub>3</sub>O<sub>4</sub>/SiO<sub>2</sub> at T = 333 K.</p>
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