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16 pages, 1395 KiB  
Article
Anionic Oligo(ethylene glycol)-Based Molecular Brushes: Thermo- and pH-Responsive Properties
by Alexey Sivokhin, Dmitry Orekhov, Oleg Kazantsev, Ksenia Otopkova, Olga Sivokhina, Ilya Chuzhaykin, Ekaterina Spitsina and Dmitry Barinov
Polymers 2024, 16(24), 3493; https://doi.org/10.3390/polym16243493 (registering DOI) - 14 Dec 2024
Abstract
Anionic thermo- and pH-responsive copolymers were synthesized by photoiniferter reversible addition–fragmentation chain transfer polymerization (PI-RAFT). The thermo-responsive properties were provided by oligo(ethylene glycol)-based macromonomer units containing hydrophilic and hydrophobic moieties. The pH-responsive properties were enabled by the addition of 5–20 mol% of strong [...] Read more.
Anionic thermo- and pH-responsive copolymers were synthesized by photoiniferter reversible addition–fragmentation chain transfer polymerization (PI-RAFT). The thermo-responsive properties were provided by oligo(ethylene glycol)-based macromonomer units containing hydrophilic and hydrophobic moieties. The pH-responsive properties were enabled by the addition of 5–20 mol% of strong (2-acrylamido-2-methylpropanesulfonic) and weak (methacrylic) acids. Upon initiation by visible light at 470 nm and in the absence of radical initiators, yields from the ternary copolymers reached 94% in 2.5 h when the process was carried out in continuous flow mode using 4-cyano-4-[(dodecylsulfanylthiocarbonyl)sulfanyl]pentanoic acid as a light-sensitive RAFT agent. The polymers were characterized using size exclusion chromatography, IR and NMR spectroscopy, and differential scanning calorimetry. The copolymers featured a sufficiently high molecular weight (93–146 kDa) consistent with theoretical values and satisfactory dispersities in the range of 1.18–1.45. The pH-responsive properties were studied in deionized water, saline, and buffer solutions. Dramatic differences in LCST behavior were observed in strong and weak acid-based polyelectrolytes. The introduction of sulfonic acid units, even in very small amounts, completely suppressed the LCST transition in deionized water while maintaining it in the saline and buffer solutions, with a negligible LCST dependence on the pH. In contrast, the incorporation of weak methacrylic acid demonstrated a pronounced pH dependence. The peculiarities of micelle formation in aqueous solutions were investigated and critical micelle concentrations and their ability to retain pyrene, a hydrophobic drug model, were determined. It was observed that anionic molecular brushes formed small micelles with aggregation numbers of 1–2 at concentrations in the order of 10−4 mg/mL. These micelles have a high ability to entrap pyrene, which makes them a promising tool for targeted drug delivery. Full article
(This article belongs to the Section Polymer Chemistry)
24 pages, 9053 KiB  
Article
An Ensemble Deep Learning Approach for EEG-Based Emotion Recognition Using Multi-Class CSP
by Behzad Yousefipour, Vahid Rajabpour, Hamidreza Abdoljabbari, Sobhan Sheykhivand and Sebelan Danishvar
Biomimetics 2024, 9(12), 761; https://doi.org/10.3390/biomimetics9120761 (registering DOI) - 14 Dec 2024
Abstract
In recent years, significant advancements have been made in the field of brain–computer interfaces (BCIs), particularly in the area of emotion recognition using EEG signals. The majority of earlier research in this field has missed the spatial–temporal characteristics of EEG signals, which are [...] Read more.
In recent years, significant advancements have been made in the field of brain–computer interfaces (BCIs), particularly in the area of emotion recognition using EEG signals. The majority of earlier research in this field has missed the spatial–temporal characteristics of EEG signals, which are critical for accurate emotion recognition. In this study, a novel approach is presented for classifying emotions into three categories, positive, negative, and neutral, using a custom-collected dataset. The dataset used in this study was specifically collected for this purpose from 16 participants, comprising EEG recordings corresponding to the three emotional states induced by musical stimuli. A multi-class Common Spatial Pattern (MCCSP) technique was employed for the processing stage of the EEG signals. These processed signals were then fed into an ensemble model comprising three autoencoders with Convolutional Neural Network (CNN) layers. A classification accuracy of 99.44 ± 0.39% for the three emotional classes was achieved by the proposed method. This performance surpasses previous studies, demonstrating the effectiveness of the approach. The high accuracy indicates that the method could be a promising candidate for future BCI applications, providing a reliable means of emotion detection. Full article
(This article belongs to the Special Issue Advances in Brain–Computer Interfaces)
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Figure 1

Figure 1
<p>Set of emotions based on the valence and arousal dimensions.</p>
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<p>The main framework of the proposed model.</p>
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<p>Validation of SAM test.</p>
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<p>The duration and order of the music tracks.</p>
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<p>Part of the EEG signal for positive, negative, and neutral stages of T3 and F8 channels for Subject 4.</p>
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<p>The MCCSP process flowchart.</p>
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<p>Proposed ensemble model.</p>
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<p>Visualization of the proposed architecture of the stacked autoencoder.</p>
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<p>Brain topography after applying MCCSP for different classes and frequency bands.</p>
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<p>Performance of the proposed model.</p>
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<p>ROC analysis (<b>a</b>) and confusion matrix (<b>b</b>) based on the proposed model.</p>
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<p>Visualization of a representation of the input data to the network and output of the third filter of the first and second layers for three classes: positive (<b>a</b>), negative (<b>b</b>), and neutral (<b>c</b>).</p>
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<p>Comparing the accuracy (<b>a</b>) and network training time (<b>b</b>) with different functions.</p>
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<p>Visual representation of examples for five different layers of the proposed network: input (<b>a</b>), output of autoencoders (<b>b</b>–<b>d</b>), and SoftMax output (<b>e</b>).</p>
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<p>Visual representation of examples for five different layers of the proposed network with −4 dB SNR: input (<b>a</b>), output of autoencoders (<b>b</b>–<b>d</b>), and SoftMax output (<b>e</b>).</p>
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<p>Traditional ensemble method framework.</p>
Full article ">
16 pages, 1856 KiB  
Article
Vibrational and DFT Studies and Anticancer Activity of Novel Pd(II) and Pt(II) Complexes with Chloro Derivatives of 7-Azaindole-3-Carbaldehyde
by Ksenia Szmigiel-Bakalarz, Dagmara Kłopotowska, Joanna Wietrzyk, Magdalena Malik and Barbara Morzyk-Ociepa
Molecules 2024, 29(24), 5909; https://doi.org/10.3390/molecules29245909 (registering DOI) - 14 Dec 2024
Viewed by 97
Abstract
This study investigates the structural, vibrational, and biological properties of novel palladium(II) and platinum(II) complexes with 5-chloro-7-azaindole-3-carbaldehyde (5ClL) and 4-chloro-7-azaindole-3-carbaldehyde (4ClL) ligands. Infrared and Raman spectroscopy, combined with DFT (ωB97X-D) calculations, provided valuable information about metal–ligand interactions, the cis or trans conformation of [...] Read more.
This study investigates the structural, vibrational, and biological properties of novel palladium(II) and platinum(II) complexes with 5-chloro-7-azaindole-3-carbaldehyde (5ClL) and 4-chloro-7-azaindole-3-carbaldehyde (4ClL) ligands. Infrared and Raman spectroscopy, combined with DFT (ωB97X-D) calculations, provided valuable information about metal–ligand interactions, the cis or trans conformation of the aldehyde group in the ligands, and the presence of trans isomers in the metal complexes obtained in the solid state. In vitro tests were used to evaluate the antiproliferative activity of the novel complexes against several cancer cell lines, including ovarian cancer (A2780), cisplatin-resistant ovarian cancer (A2780cis), colon cancer (HT-29), and triple-negative breast cancer (MDA-MB-231), as well as normal mouse fibroblasts (BALB/3T3). The platinum complex, trans-[PtCl2(5ClL)2], exhibited superior activity against A2780cis (IC50 = 4.96 ± 0.49 µM) and MDA-MB-231 (IC50 = 4.83 ± 0.38 µM) compared to cisplatin, while the palladium complexes (trans-[PdCl2(4ClL)2] and trans-[PdCl2(5ClL)2]) demonstrated enhanced selectivity with reduced toxicity to normal fibroblasts (IC50 = 11.29 ± 6.65 µM and 14.98 ± 5.59 µM, respectively). Full article
Show Figures

Figure 1

Figure 1
<p>The four computational models used in the calculations are as follows: (<b>a</b>) <span class="html-italic">trans</span>-[PdCl<sub>2</sub>(4ClL)<sub>2</sub>] constructed from two <span class="html-italic">cis</span> conformers of 4ClL; (<b>b</b>) <span class="html-italic">trans</span>-[PdCl<sub>2</sub>(4ClL)<sub>2</sub>] constructed from two <span class="html-italic">trans</span> conformers of 4ClL; (<b>c</b>) <span class="html-italic">trans</span>-[MCl<sub>2</sub>(5ClL)<sub>2</sub>] constructed from two <span class="html-italic">cis</span> conformers of 5ClL; and (<b>d</b>) <span class="html-italic">trans</span>-[MCl<sub>2</sub>(5ClL)<sub>2</sub>] constructed from two <span class="html-italic">trans</span> conformers of 5ClL. Intramolecular N1–H···Cl hydrogen bonds (gray dashed lines) in the most stable models of <span class="html-italic">trans</span>-[PdCl<sub>2</sub>(4ClL)<sub>2</sub>] (<b>a</b>) and <span class="html-italic">trans</span>-[MCl<sub>2</sub>(5ClL)<sub>2</sub>] (<b>d</b>) are depicted in (<b>e</b>) and (<b>f</b>), respectively. Structural formulas for the most stable models are shown in (<b>g</b>,<b>h</b>). M = Pd(II) or Pt(II). The terms <span class="html-italic">cis</span> and <span class="html-italic">trans</span> conformers refer to the relative orientation of the C8=O1 (carbonyl) and C3=C2 (pyrrole) bonds along the exocyclic C3–C8 bond in the conformers. The atom numbering scheme is indicated for the more stable structures. Color legend: green-blue—palladium or platinum; red—oxygen; blue—nitrogen; green—chlorine; dark gray—carbon; light gray—hydrogen.</p>
Full article ">Figure 1 Cont.
<p>The four computational models used in the calculations are as follows: (<b>a</b>) <span class="html-italic">trans</span>-[PdCl<sub>2</sub>(4ClL)<sub>2</sub>] constructed from two <span class="html-italic">cis</span> conformers of 4ClL; (<b>b</b>) <span class="html-italic">trans</span>-[PdCl<sub>2</sub>(4ClL)<sub>2</sub>] constructed from two <span class="html-italic">trans</span> conformers of 4ClL; (<b>c</b>) <span class="html-italic">trans</span>-[MCl<sub>2</sub>(5ClL)<sub>2</sub>] constructed from two <span class="html-italic">cis</span> conformers of 5ClL; and (<b>d</b>) <span class="html-italic">trans</span>-[MCl<sub>2</sub>(5ClL)<sub>2</sub>] constructed from two <span class="html-italic">trans</span> conformers of 5ClL. Intramolecular N1–H···Cl hydrogen bonds (gray dashed lines) in the most stable models of <span class="html-italic">trans</span>-[PdCl<sub>2</sub>(4ClL)<sub>2</sub>] (<b>a</b>) and <span class="html-italic">trans</span>-[MCl<sub>2</sub>(5ClL)<sub>2</sub>] (<b>d</b>) are depicted in (<b>e</b>) and (<b>f</b>), respectively. Structural formulas for the most stable models are shown in (<b>g</b>,<b>h</b>). M = Pd(II) or Pt(II). The terms <span class="html-italic">cis</span> and <span class="html-italic">trans</span> conformers refer to the relative orientation of the C8=O1 (carbonyl) and C3=C2 (pyrrole) bonds along the exocyclic C3–C8 bond in the conformers. The atom numbering scheme is indicated for the more stable structures. Color legend: green-blue—palladium or platinum; red—oxygen; blue—nitrogen; green—chlorine; dark gray—carbon; light gray—hydrogen.</p>
Full article ">Figure 2
<p>Comparison of the experimental IR (<b>bottom</b>) and Raman (<b>top</b>) spectra of <span class="html-italic">trans</span>-[PdCl<sub>2</sub>(4ClL)<sub>2</sub>] in the range 3600–70 cm<sup>−1</sup>, with the theoretical spectra calculated for the structure shown in <a href="#molecules-29-05909-f001" class="html-fig">Figure 1</a>a using DFT method.</p>
Full article ">Figure 3
<p>Comparison of the experimental IR (<b>bottom</b>) and Raman (<b>top</b>) spectra of trans-[PdCl<sub>2</sub>(5ClL)<sub>2</sub>] in the range 3600–70 cm<sup>−1</sup>, with the theoretical spectra calculated for the structure shown in <a href="#molecules-29-05909-f001" class="html-fig">Figure 1</a>d using DFT method.</p>
Full article ">Figure 4
<p>Comparison of the experimental IR (<b>bottom</b>) and Raman (<b>top</b>) spectra of <span class="html-italic">trans</span>-[PtCl<sub>2</sub>(5ClL)<sub>2</sub>] in the range 3600–70 cm<sup>−1</sup>, with the theoretical spectra calculated for the structure shown in <a href="#molecules-29-05909-f001" class="html-fig">Figure 1</a>d using DFT method.</p>
Full article ">Figure 5
<p>Antiproliferative activity of the investigated platinum(II) and palladium(II) complexes against various cell lines. Legend of colors: <span class="html-italic">cis</span>-[PtCl<sub>2</sub>(NH<sub>3</sub>)<sub>2</sub>] (cisplatin)—red, <span class="html-italic">trans</span>-[PtCl<sub>2</sub>(5ClL)<sub>2</sub>]—dark blue, <span class="html-italic">trans</span>-[PdCl<sub>2</sub>(5ClL)<sub>2</sub>]—green, <span class="html-italic">trans</span>-[PdCl<sub>2</sub>(4ClL)<sub>2</sub>]—yellow. The activity of the 4ClL and 5ClL ligands was not tested in the current study. Previous studies involving 7-azaindolo-3-carbaldehyde and halogenated 7-azaindole derivatives showed that these compounds did not exhibit antiproliferative activity on the tested cancer cell lines [<a href="#B20-molecules-29-05909" class="html-bibr">20</a>,<a href="#B22-molecules-29-05909" class="html-bibr">22</a>,<a href="#B23-molecules-29-05909" class="html-bibr">23</a>]. Based on these findings, it was assumed that the 4ClL and 5ClL ligands would exhibit a similar lack of activity.</p>
Full article ">
15 pages, 12696 KiB  
Article
Coherence Properties of a Supercontinuum Generated by Cascade Raman Processes in a Hollow-Core Fiber Filled with a Mixture of Deuterium and Hydrogen
by Yury Yatsenko, Andrey Pryamikov and Alexey Gladyshev
Photonics 2024, 11(12), 1176; https://doi.org/10.3390/photonics11121176 (registering DOI) - 14 Dec 2024
Viewed by 131
Abstract
Here, we report a numerical study of supercontinuum generation in an antiresonant optical fiber with a hollow core filled with a mixture of deuterium (D2) and hydrogen (H2). For 1 ps pulses at a wavelength of 1.03 μm with [...] Read more.
Here, we report a numerical study of supercontinuum generation in an antiresonant optical fiber with a hollow core filled with a mixture of deuterium (D2) and hydrogen (H2). For 1 ps pulses at a wavelength of 1.03 μm with different chirp values, we demonstrate a possibility of obtaining a mid-IR coherent supercontinuum with a spectral width of 2300 nm, initiated by cascade processes at resonance frequencies of vibrational and rotational levels of D2 and H2. We show that an increase in the chirped pulse duration to 25 ps while maintaining the energy and spectral width allows increasing the quantum conversion efficiency in the mid-IR from 10 to 50% and expanding the range of optimal fiber lengths at which a high degree of supercontinuum coherence is achieved. Full article
(This article belongs to the Special Issue Cutting-Edge Developments in Fiber Laser)
Show Figures

Figure 1

Figure 1
<p>(<b>a</b>) Electron photograph of the fiber cross-section; (<b>b</b>) Waveguide (leakage) loss (black) and dispersion (red) of the fundamental mode as a function of wavelength at partial pressures of deuterium of 12 atm and hydrogen of 20 atm for 5 transmission bands. The vertical dashed lines denote the wavelengths of the pump (1.03 μm), the first Stokes shifts in deuterium (1.49 μm) and hydrogen (1.8 μm), and the two-cascade shifts of 2.6 μm and 3.9 μm. The horizontal line (dots) indicating the zero-dispersion value.</p>
Full article ">Figure 2
<p>(<b>a</b>) Spectrum evolution of a 1 ps pulse (C = 4) with an energy of 200 μJ along the fiber length; (<b>b</b>) Quantum conversion efficiency in different spectral regions depending on the fiber length (here and in the following figures IR is the region of near- and mid-IR wavelengths 1.03–5 μm, MIR is the mid-IR region 2.4–5 μm, AS is the anti-Stokes region &lt;1.03 μm); (<b>c</b>) Spectrum and (<b>d</b>) temporal structure at the initial fiber lengths. Only vibrational SRS transitions are taken into account.</p>
Full article ">Figure 2 Cont.
<p>(<b>a</b>) Spectrum evolution of a 1 ps pulse (C = 4) with an energy of 200 μJ along the fiber length; (<b>b</b>) Quantum conversion efficiency in different spectral regions depending on the fiber length (here and in the following figures IR is the region of near- and mid-IR wavelengths 1.03–5 μm, MIR is the mid-IR region 2.4–5 μm, AS is the anti-Stokes region &lt;1.03 μm); (<b>c</b>) Spectrum and (<b>d</b>) temporal structure at the initial fiber lengths. Only vibrational SRS transitions are taken into account.</p>
Full article ">Figure 3
<p>(<b>a</b>) Evolution of the spectrum of a 1 ps chirped pulse (C = 20) with an energy of 200 μJ along the fiber length; (<b>b</b>) Quantum conversion efficiency in different spectral regions depending on the fiber length; (<b>c</b>) Spectrum and (<b>d</b>) temporal structure at the initial fiber lengths. Only vibrational SRS transitions are taken into account.</p>
Full article ">Figure 4
<p>The degree of coherence of the supercontinuum in the wavelength range of 500–5000 nm with pumping at 1030 nm by 1 ps input chirped pulses with (<b>a</b>) C = 4 and (<b>b</b>) C = 20 taking into account vibrational transitions in D<sub>2</sub> and H<sub>2</sub>. Pump energy is 200 μJ. The fiber length is 0.7 m.</p>
Full article ">Figure 5
<p>Spectrally averaged coherence (<math display="inline"><semantics> <mrow> <mo>&lt;</mo> <mfenced open="|" close="|" separators="|"> <mrow> <msubsup> <mrow> <mi>g</mi> </mrow> <mrow> <mn>12</mn> </mrow> <mrow> <mfenced separators="|"> <mrow> <mn>1</mn> </mrow> </mfenced> </mrow> </msubsup> <mfenced separators="|"> <mrow> <mi>λ</mi> </mrow> </mfenced> </mrow> </mfenced> <mo>&gt;</mo> </mrow> </semantics></math>) in the mid-IR wavelength region (2.4–5 μm) depending on the energy of 1 ps input chirped pulses at 1.03 μm with C = 4 (triangles) and C = 20 (dots). Only vibrational transitions in D<sub>2</sub> and H<sub>2</sub> are taken into account.</p>
Full article ">Figure 6
<p>(<b>a</b>) Quantum conversion efficiency in different spectral regions at optimal fiber lengths corresponding to the maximum supercontinuum bandwidth; (<b>b</b>) Supercontinuum bandwidth (BW) in the mid-IR region &gt;2.4 μm and optimal fiber length (Lopt) versus energy, when pumped at 1.03 μm with 1 ps chirped pulses (C = 4). Only D<sub>2</sub> and H<sub>2</sub> vibrational transitions are taken into account.</p>
Full article ">Figure 7
<p>(<b>a</b>) Supercontinuum evolution at initial fiber lengths when launching a 1 ps chirped pulse (C = 4) with an energy of 200 μJ into the fiber; (<b>b</b>) Quantum conversion efficiency in different spectral regions depending on the fiber length. Vibrational and rotational transitions of SRS are taken into account.</p>
Full article ">Figure 8
<p>(<b>a</b>) Spectrally averaged coherence (<math display="inline"><semantics> <mrow> <mo>&lt;</mo> <mfenced open="|" close="|" separators="|"> <mrow> <msubsup> <mrow> <mi>g</mi> </mrow> <mrow> <mn>12</mn> </mrow> <mrow> <mfenced separators="|"> <mrow> <mn>1</mn> </mrow> </mfenced> </mrow> </msubsup> <mfenced separators="|"> <mrow> <mi>λ</mi> </mrow> </mfenced> </mrow> </mfenced> <mo>&gt;</mo> </mrow> </semantics></math>) in the mid-IR wavelength region (2.4–5 μm) dependent on the energy of 1 ps input chirped pulses at 1.03 μm with C = 4 (triangles) and C = 20 (dots); (<b>b</b>) Quantum conversion efficiency and spectrally averaged coherence in the Mid-IR obtained for 1 ps pulses (C = 4) with the energy of 250 μJ as a function of fiber length. Vibrational and rotational transitions in D<sub>2</sub> and H<sub>2</sub> are taken into account.</p>
Full article ">Figure 9
<p>(<b>a</b>) Spectrogram and (<b>b</b>) quantum efficiency obtained for 25 ps input chirped pulses with C = 100 and an energy of 250 μJ on a 2 m optical fiber length; (<b>c</b>) Spectrum and (<b>d</b>) temporal structure at the initial fiber lengths. Only vibrational SRS transitions are taken into account.</p>
Full article ">Figure 10
<p>(<b>a</b>) Spectrogram and (<b>b</b>) quantum conversion efficiency obtained for 25 ps input pulses with a chirp of C = 100 and an energy of 250 μJ on a 2 m optical fiber length; (<b>c</b>) Dependence of the quantum conversion efficiency in the Stokes-anti-Stokes regions of the spectrum on the energy of the input pulse; (<b>d</b>) Dependence of the spectrally averaged coherence in different parts of the spectrum on the length of the fiber at an energy of 250 μJ. The duration of the input pulse is 25 ps, chirp C = 100. Vibrational and rotational transitions of SRS are taken into account.</p>
Full article ">
21 pages, 617 KiB  
Article
Quantum PSO-Based Optimization of Secured IRS-Assisted Wireless-Powered IoT Networks
by Abid Afridi, Iqra Hameed and Insoo Koo
Appl. Sci. 2024, 14(24), 11677; https://doi.org/10.3390/app142411677 (registering DOI) - 13 Dec 2024
Viewed by 253
Abstract
In this paper, we explore intelligent reflecting surface (IRS)-assisted physical layer security (PLS) in a wireless-powered Internet of Things (IoT) network (WPIN) by combining an IRS, a friendly jammer, and energy harvesting (EH) to maximize sum secrecy throughput in the WPIN. Specifically, we [...] Read more.
In this paper, we explore intelligent reflecting surface (IRS)-assisted physical layer security (PLS) in a wireless-powered Internet of Things (IoT) network (WPIN) by combining an IRS, a friendly jammer, and energy harvesting (EH) to maximize sum secrecy throughput in the WPIN. Specifically, we propose a non-line-of-sight system where a hybrid access point (H-AP) has no direct link with the users, and a secure uplink transmission scheme utilizes the jammer to combat malicious eavesdroppers. The proposed scheme consists of two stages: wireless energy transfer (WET) on the downlink (DL) and wireless information transmission (WIT) on the uplink (UL). In the first phase, the H-AP sends energy to users and the jammer, and they then harvest energy with the help of the IRS. Consequently, during WIT, the user transmits information to the H-AP while the jammer emits signals to confuse the eavesdropper without interfering with the legitimate transmission. The phase-shift matrix of the IRS and the time allocation for DL and UL are jointly optimized to maximize the sum secrecy throughput of the network. To tackle the non-convex problem, an alternating optimization method is employed, and the problem is reformulated into two sub-problems. First, the IRS phase shift is solved using quantum particle swarm optimization (QPSO). Then, the time allocation for DL and UL are optimized using the bisection method. Simulation results demonstrate that the proposed method achieves significant performance improvements as compared to other baseline schemes. Specifically, for IRS elements N = 35, the proposed scheme achieves a throughput of 19.4 bps/Hz, which is 85% higher than the standard PSO approach and 143% higher than the fixed time, random phase (8 bps/Hz) approach. These results validate the proposed approach’s effectiveness in improving network security and overall performance. Full article
(This article belongs to the Special Issue 5G and Beyond: Technologies and Communications)
10 pages, 495 KiB  
Article
Determination of Tire Wear Particle-Type Polymers by Combination of Quantitative Nuclear Magnetic Resonance Spectroscopy and Soxhlet Extraction
by Marcel Günther, Gizem Kirimlioglu Sayilik and Wolfgang Imhof
Molecules 2024, 29(24), 5899; https://doi.org/10.3390/molecules29245899 - 13 Dec 2024
Viewed by 159
Abstract
Tire wear particles (TWPs) are among the most relevant sources of microplastic pollution of the environment. Nevertheless, common analytical methods like IR and Raman spectroscopy are highly impaired by additives and filler materials, leaving only thermogravimetric methods for chemical analysis of TWPs in [...] Read more.
Tire wear particles (TWPs) are among the most relevant sources of microplastic pollution of the environment. Nevertheless, common analytical methods like IR and Raman spectroscopy are highly impaired by additives and filler materials, leaving only thermogravimetric methods for chemical analysis of TWPs in most cases. We herein present quantitative NMR spectroscopy (qNMR) as an alternative tool for the quantification of the polymeric material used for the production of tires, including natural rubber (NR), styrene–butadiene–copolymer (SBR), polyethylene–co-propylene (EPR) and polybutadiene (BR). Limits of quantification (LOQ) between 3 µg and 43 µg per sample and recovery rates of 72–92% were achieved for all tested polymer types. The first results of combining these measurements with Soxhlet extraction as a sample preparation tool are presented alongside the qNMR experiments. Full article
19 pages, 1337 KiB  
Article
Two-Loop Corrections in Power Spectrum in Models of Inflation with Primordial Black Hole Formation
by Hassan Firouzjahi
Universe 2024, 10(12), 456; https://doi.org/10.3390/universe10120456 - 13 Dec 2024
Viewed by 295
Abstract
We calculated the two-loop corrections in the primordial power spectrum in models of single-field inflation incorporating an intermediate USR phase employed for PBH formation. Among the overall eleven one-particle irreducible Feynman diagrams, we calculated the corrections from the “double scoop” two-loop diagram involving [...] Read more.
We calculated the two-loop corrections in the primordial power spectrum in models of single-field inflation incorporating an intermediate USR phase employed for PBH formation. Among the overall eleven one-particle irreducible Feynman diagrams, we calculated the corrections from the “double scoop” two-loop diagram involving two vertices of quartic Hamiltonians. We demonstrate herein the fractional two-loop correction in power spectrum scales, like the square of the fractional one-loop correction. We confirm our previous findings that the loop corrections become arbitrarily large in the setup where the transition from the intermediate USR to the final slow-roll phase is very sharp. This suggests that in order for the analysis to be under perturbative control against loop corrections, one requires a mild transition with a long enough relaxation period towards the final attractor phase. Full article
(This article belongs to the Special Issue Primordial Black Holes from Inflation)
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<p>The one-particle irreducible Feynman diagrams for the two-loop corrections constructed from the solutions of Equation (<a href="#FD18-universe-10-00456" class="html-disp-formula">18</a>). The diagrams (<b>a</b>,<b>b</b>) belong to category (1) in Equation (<a href="#FD18-universe-10-00456" class="html-disp-formula">18</a>), diagrams (<b>c</b>,<b>d</b>) to category (2), diagrams (<b>e</b>–<b>h</b>) to category (3), diagrams (<b>k</b>,<b>l</b>) belong to categories (4), and diagram (<b>m</b>) belongs to category (5).</p>
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<p>The arrangement of momenta inside each loop and the relative positions of <math display="inline"><semantics> <msub> <mi>τ</mi> <mn>1</mn> </msub> </semantics></math> and <math display="inline"><semantics> <msub> <mi>τ</mi> <mn>2</mn> </msub> </semantics></math>.</p>
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27 pages, 6702 KiB  
Article
Assimilating Satellite-Based Biophysical Variables Data into AquaCrop Model for Silage Maize Yield Estimation Using Water Cycle Algorithm
by Elahe Akbari, Ali Darvishi Boloorani, Jochem Verrelst and Stefano Pignatti
Remote Sens. 2024, 16(24), 4665; https://doi.org/10.3390/rs16244665 - 13 Dec 2024
Viewed by 281
Abstract
Accurate crop yield estimation is critical to successful agricultural operations. Current crop growth models often overlook the spatial and geographic components of the lands, leading to suboptimal yield estimates. To address this issue, assimilation of satellite vegetation products into these models can account [...] Read more.
Accurate crop yield estimation is critical to successful agricultural operations. Current crop growth models often overlook the spatial and geographic components of the lands, leading to suboptimal yield estimates. To address this issue, assimilation of satellite vegetation products into these models can account for spatial variations in the land and improve estimation accuracy. In this paper, the AquaCrop model, a water-driven crop growth model, was selected for recalibration and assimilation of satellite-derived biophysical products due to its simplicity and lack of computational complexity. To this end, field samples of soil (sampled before cultivation) and crop features were collected during the growing season of silage maize. Digital hemisphere photography (DHP) and destructive sampling methods were used for measuring fraction vegetation cover (fCover) and biomass in Qaleh-Now County, southern Tehran, in 2019. Based on our proposed workflow in previous studies, a Gaussian process regression–particle swarm optimization (GPR-PSO) algorithm and global sensitivity analysis were applied to retrieve the fCover and biomass from Sentinel-2 satellite data and to identify the most sensitive parameters in the AquaCrop model, respectively. Here, we propose the use of an optimization water cycle algorithm (WCA) instead of a PSO algorithm as an assimilation method for the parameter calibration of AquaCrop. This study also focused on using both fCover and biomass state variables simultaneously in the model, as opposed to only the fCover, and found that using both variables led to significantly higher calibration accuracy. The WCA method outperformed the PSO method in AquaCrop’s calibration, leading to more accurate results on maize yield estimates. It has enhanced results, decreasing RMSE values by 3.8 and 4.7 ton/ha, RRMSE by 6.4% and 10%, and increasing R2 by 0.17 and 0.35 for model calibration and validation, respectively. These results suggest that assimilating satellite-derived data and optimizing the calibration process through WCA can significantly improve the accuracy of crop yield estimations in water-driven crop growth models, highlighting the potential of this approach for precision agriculture. Full article
(This article belongs to the Special Issue Cropland and Yield Mapping with Multi-source Remote Sensing)
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<p>Study area in Iran and Tehran province (<b>a</b>). Experiment site in Ghale-Nou County (<b>b</b>).</p>
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<p>Field sampling according to the silage maize phenology [<a href="#B44-remotesensing-16-04665" class="html-bibr">44</a>].</p>
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<p>Samples of DHP taken in ESUs at different phenology stages of silage maize [<a href="#B44-remotesensing-16-04665" class="html-bibr">44</a>].</p>
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<p>The AquaCrop model’s calculation scheme with four (1, 2, 3, and 4 numbers) steps and processes (dotted arrows) influenced by water (a to e) and temperature stress (f to g). CC is green canopy cover; Zr, rooting depth; ETo, reference evapotranspiration; WP*, normalized biomass water productivity; HI, harvest index; and GDD, growing degree day. Water stress: (a) slows canopy expansion, (b) accelerates canopy senescence, (c) decreases root deepening, but only if severe, (d) reduces stomatal opening and transpiration, and (e) affects harvest index. Cold temperature stress (f) reduces crop transpiration. Hot or cold temperature stress (g) inhibits pollination and reduces HI [<a href="#B50-remotesensing-16-04665" class="html-bibr">50</a>].</p>
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<p>The workflow of remote sensing data assimilation into AquaCrop model using WCA.</p>
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<p>Comparative analysis of estimated and observed yield using only fCover as state variable, with data assimilation for both PSO and WCAs for AquaCrop calibration and without data assimilation.</p>
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<p>Comparative analysis of estimated and observed values of yield using fCover combined with biomass, with data assimilation for both PSO and WCAs for AquaCrop calibration and without data assimilation.</p>
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<p>Comparative analysis of estimated and observed values of yield using fCover combined with biomass, with data assimilation for both PSO and WCAs for AquaCrop calibration and without data assimilation.</p>
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<p>Comparative transcendency of data assimilation into the AquaCrop model based on output yield in the validation phase of the model using fCover alone and in combination with biomass (R<sup>2</sup> and RRMSE (%)). The graphs illustrate the transcendency of methods in the vertical axis compared with those in the horizontal axis. Each method is denoted by a letter (according to the given matrix in this Figure) with transcendency of each method compared pair-wise. PSO and WCA are the meta-heuristic algorithms used for calibration; one and two allude to the number of state variables used.</p>
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<p>Pixel-based map of estimated crop yield for 19 September. The numbers (i.e., 1–11 in the figure) represent lands that were not included in the calibration and validation of the AquaCrop model and were therefore used to evaluate the final map.</p>
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<p>Evaluation and comparison of estimated crop yield obtained from pixel-based map with observed values in lands not included in the calibration and validation of AquaCrop model.</p>
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18 pages, 3388 KiB  
Article
The Molecular Mechanism Regulating Flavonoid Production in Rhododendron chrysanthum Pall. Against UV-B Damage Is Mediated by RcTRP5
by Fushuai Gong, Jinhao Meng, Hongwei Xu and Xiaofu Zhou
Int. J. Mol. Sci. 2024, 25(24), 13383; https://doi.org/10.3390/ijms252413383 - 13 Dec 2024
Viewed by 192
Abstract
Elevated levels of reactive oxygen species (ROS) are caused by ultraviolet B radiation (UV-B) stress. In response, plants strengthen their cell membranes, impeding photosynthesis. Additionally, UV-B stress initiates oxidative stress within the antioxidant defense system and alters secondary metabolism, particularly by increasing the [...] Read more.
Elevated levels of reactive oxygen species (ROS) are caused by ultraviolet B radiation (UV-B) stress. In response, plants strengthen their cell membranes, impeding photosynthesis. Additionally, UV-B stress initiates oxidative stress within the antioxidant defense system and alters secondary metabolism, particularly by increasing the quantity of UV-absorbing compounds such as flavonoids. The v-myb avian myeloblastosis viral oncogene homolog (MYB) transcription factor (TF) may participate in a plant’s response to UV-B damage through its regulation of flavonoid biosynthesis. In this study, we discovered that the photosynthetic activity of Rhododendron chrysanthum Pall. (R. chrysanthum) decreased when assessing parameters of chlorophyll (PSII) fluorescence parameters under UV-B stress. Concurrently, antioxidant system enzyme expression increased under UV-B exposure. A multi-omics data analysis revealed that acetylation at the K68 site of the RcTRP5 (telomeric repeat binding protein of Rhododendron chrysanthum Pall.) transcription factor was upregulated. This acetylation modification of RcTRP5 activates the antioxidant enzyme system, leading to elevated expression levels of peroxidase (POD), superoxide dismutase (SOD), and catalase (CAT). Upregulation is also observed at the K95 site of the chalcone isomerase (CHI) enzyme and the K178 site of the anthocyanidin synthase (ANS) enzyme. We hypothesize that RcTRP5 influences acetylation modifications of CHI and ANS in flavonoid biosynthesis, thereby indirectly regulating flavonoid production. This study demonstrates that R. chrysanthum can be protected from UV-B stress by accumulating flavonoids. This could serve as a useful strategy for enhancing the plant’s flavonoid content and provide a valuable reference for research on the metabolic regulation mechanisms of other secondary substances. Full article
(This article belongs to the Special Issue Abiotic Stress in Plant)
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<p>Trends in <span class="html-italic">R. chrysanthum’s</span> photosynthetic characteristics under UV-B stress: (<b>a</b>–<b>d</b>) real-time fluorescence actual, quantum yield of modulatable quenching in PSII, quantum yield of non-modulatable quenching in PSII, and photosynthetic efficiency of PSII, respectively. The data represent the mean ± SD for <span class="html-italic">n</span> = 3. A significant difference among treatments at <span class="html-italic">p</span> &lt; 0.05 is indicated by different letters (a, b).</p>
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<p>Flavonoid trends in six <span class="html-italic">R. chrysanthum</span> species in response to UV-B exposure: (<b>a</b>–<b>f</b>) gallocatechin, 6-methoxyflavone, kaempferol-3-O-arabinoside, naringenin chalcone, butin, and quercetin-3-O-arabinoside, respectively. The data represent the mean ± SD for <span class="html-italic">n</span> = 3. A significant difference among treatments at <span class="html-italic">p</span> &lt; 0.05 is indicated by different letters (a, b).</p>
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<p>Enrichment analysis of MYB transcription factors significantly altered by UV-B stress in the <span class="html-italic">R. chrysanthum</span>: (<b>a</b>) there were notable variations in the expression levels of eight MYB transcription factors in rhododendron that respond to UV-B stress; red indicates higher expression levels and green lower expression levels; (<b>b</b>) eight MYB transcription factors in the <span class="html-italic">R. chrysanthum</span> were analyzed for enrichment.</p>
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<p>Response of antioxidant enzyme system of <span class="html-italic">R. chrysanthum</span> to UV-B stress and correlation analysis with <span class="html-italic">RcTRP5</span>: (<b>a</b>–<b>c</b>) POD: peroxidase; CAT1: catalase isozyme 1; SODCC: superoxide dismutase; SODCP: superoxide dismutase; (<b>d</b>) the more pinkish the color, the stronger the positive correlation; the more bluish the color, the stronger the negative correlation. The data represent the mean ± SD for <span class="html-italic">n</span> = 3. A significant difference among treatments at <span class="html-italic">p</span> &lt; 0.05 is indicated by different letters (a, b). Asterisks denote treatments with significant changes (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p><span class="html-italic">R. chrysanthum</span> regulates the production of flavonoids: (<b>a</b>) data on metabolite content and enzyme gene expression were shown on a heat map after being normalized using the formula (Xi − min(x))/(max(x) − min(x)). Heatmaps with dark-red and dark-blue hues show changes in metabolite expression, with redder hues denoting higher expression and bluer hues denoting lower expression. Red and green heatmaps show changes in the expression of enzyme genes; redder hues denote higher expression, while greener hues denote lower expression; (<b>b</b>,<b>c</b>) the more pinkish the color, the stronger the positive correlation; the more bluish the color, the stronger the negative correlation. For <span class="html-italic">n</span> = 3, the data are the mean ± SD. Asterisks denote treatments with significant changes (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Examination of two important enzymes’ acetylation changes in the <span class="html-italic">R. chrysanthum</span> flavonoid biosynthesis pathway: (<b>a</b>) from left to right: the three-dimensional architectures of the CHI’s hydrophobic clusters, salt bridges, and acetylation modification sites; (<b>b</b>) from left to right: the three-dimensional architectures of the ANS’s hydrophobic clusters, salt bridges, and acetylation modification sites.</p>
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<p>Correlation analysis of <span class="html-italic">R. chrysanthum’s</span> antioxidant enzyme systems and photosynthetic parameters under UV-B stress. The stronger the association, the more pinkish the color, and the stronger the correlation, the more bluish the color. For <span class="html-italic">n</span> = 3, the data are the mean ± SD. Asterisks denote treatments with significant changes (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Diagram illustrating the defense mechanisms that <span class="html-italic">R. chrysanthum</span> uses against UV-B rays. <span class="html-italic">R. chrysanthum’s</span> enzyme systems and flavonoid biosynthesis pathways under normal light and UV-B stress are depicted in the left and right leaves, respectively. The damaging injuries and reactions to UV-B stress in <span class="html-italic">R. chrysanthum</span> are shown by the red lines. Acetylation modification sites and their upregulation are indicated by pink arrows. Inhibitory effects are indicated by blue lines.</p>
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20 pages, 8448 KiB  
Article
Failure Behavior of Nano-Metakaolin Concrete Under Splitting Tension Based on Digital Image Correlation Method
by Hao Chen, Yingfang Fan, Qiuchao Li and Chang Peng
Polymers 2024, 16(24), 3482; https://doi.org/10.3390/polym16243482 - 13 Dec 2024
Viewed by 278
Abstract
Nano metakaolin (NMK) has attracted considerable interest for its potential to improve the durability of cementitious materials. However, the effect of NMK on the splitting tensile performance of concrete has not been systematically investigated. This study investigates the splitting tensile performance of NMK [...] Read more.
Nano metakaolin (NMK) has attracted considerable interest for its potential to improve the durability of cementitious materials. However, the effect of NMK on the splitting tensile performance of concrete has not been systematically investigated. This study investigates the splitting tensile performance of NMK concrete and analyzes its failure behavior under splitting load. Different NMK dosages (0%, 1%, 3%, 5%, and 7%) were considered, and splitting tensile tests were conducted. The crack propagation process, crack width, and crack growth rate on the surface of NMK concrete during the splitting tensile test are analyzed using the Digital Image Correlation (DIC) method. The mechanisms by which NMK affects the splitting tensile performance of concrete were examined using X-ray Diffraction (XRD), Fourier Transform Infrared Spectroscopy (FT-IR), Scanning Electron Microscopy/Energy Dispersive Spectroscopy (SEM/EDS), and Thermogravimetric Analysis (TG). The results indicate that the incorporation of NMK enhances the splitting tensile performance of concrete. Concrete with 5% NMK addition exhibited the highest splitting tensile strength, with an increase of 17.4% compared to ordinary concrete. NMK improved the cracking resistance and overall integrity under splitting tensile load. With 5% NMK addition, the surface crack length, width, and main crack propagation rate of the concrete decreased by 4.5%, 35.3%, and 29.6%, respectively. NMK contributed to a denser internal structure of the concrete, promoted the formation of C-S-H gel, and increased the degree of cement hydration. Moreover, a lower thickness and Ca/Si ratio of interfacial transition zone (ITZ) were observed in NMK concrete. The ITZ thickness and Ca/Si ratio of concrete with 5% NMK were reduced by 64.4% and 85.4%, respectively, compared to ordinary concrete. In summary, the influence mechanism of NMK addition on the splitting tensile strength and failure behavior of concrete is explored in this study, providing experimental data to support the application of NMK concrete in practical engineering. Full article
(This article belongs to the Special Issue Polymer Admixture-Modified Cement-Based Materials)
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<p>The physical index of materials. (<b>a</b>) XRD pattern; (<b>b</b>) TEM morphology; (<b>c</b>) particle size distribution.</p>
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<p>Preparation of NMK concrete.</p>
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<p>The setup of the compressive and splitting tensile strength tests.</p>
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<p>The test devices and the required samples.</p>
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<p>The splitting tensile strength of NMK concrete.</p>
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<p>Splitting tensile load-displacement curves of NMK concrete.</p>
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<p>The strain clouds of NMK concrete surface at different loading stages.</p>
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<p>The process of initiation, propagation, and penetration of main crack.</p>
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<p>Failure crack pattern of NMK concrete.</p>
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<p>The fractal dimension of NMK concrete.</p>
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<p>Relationship between fractal dimension of failure cracks and splitting tensile strength.</p>
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<p>XRD patterns of NMK concrete.</p>
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<p>FTIR curves of NMK concrete.</p>
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<p>SEM images of NMK concrete.</p>
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<p>Schematic diagram of EDS line scan position.</p>
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<p>Distribution Patterns of Ca and Si in NM0.</p>
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<p>Distribution Characteristics of Ca and Si in NMK Concrete.</p>
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<p>Distribution Characteristics of Ca and Si in NMK Concrete.</p>
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<p>TG-DTG curves of concrete with NMK content.</p>
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26 pages, 5107 KiB  
Article
A Zeolitic Imidazolate Framework-Based Antimicrobial Peptide Delivery System with Enhanced Anticancer Activity and Low Systemic Toxicity
by Jingwen Jiang, Kaderya Kaysar, Yanzhu Pan, Lijie Xia and Jinyao Li
Pharmaceutics 2024, 16(12), 1591; https://doi.org/10.3390/pharmaceutics16121591 - 13 Dec 2024
Viewed by 388
Abstract
Background: The clinical efficacies of anticancer drugs are limited by non-selective toxic effects on healthy tissues and low bioavailability in tumor tissue. Therefore, the development of vehicles that can selectively deliver and release drugs at the tumor site is critical for further improvements [...] Read more.
Background: The clinical efficacies of anticancer drugs are limited by non-selective toxic effects on healthy tissues and low bioavailability in tumor tissue. Therefore, the development of vehicles that can selectively deliver and release drugs at the tumor site is critical for further improvements in patient survival. Methods: We prepared a CEC nano-drug delivery system, CEC@ZIF-8, with a zeolite imidazole framework-8 (ZIF-8) as a carrier, which can achieve the response of folate receptor (FR). We characterized this system in terms of morphology, particle size, zeta potential, infrared (IR), x-ray diffraction (XRD), and transcriptome analysis, and examined the in vitro cytotoxicity and cellular uptake properties of CEC@ZIF-8 using cervical cancer cells. Lastly, we established a TC-1 tumor-bearing mouse model and evaluated its in vivo anti-cervical cancer activity. Results: The CEC@ZIF-8 nano-delivery system had favorable biocompatibility, heat stability, and pH responsiveness, with a CEC loading efficiency of 12%, a hydrated particle size of 174 ± 5.8 nm, a zeta potential of 20.57 mV, and slow and massive drug release in an acidic environment (pH 5.5), whereas release was 6% in a neutral environment (pH 7.4). At the same time, confocal imaging and cell viability assays demonstrated greater intracellular accumulation and more potent cytotoxicity against cancer cells compared to free CEC. The mechanism was analyzed by a series of transcriptome analyses, which revealed that CEC@ZIF-8 NPs differentially regulate the expression levels of 1057 genes in cancer cells, and indicated that the enriched pathways were mainly cell cycle and apoptosis-related pathways via the enrichment analysis of the differential genes. Flow cytometry showed that CEC@ZIF-8 NPs inhibited the growth of HeLa cells by arresting the cell cycle at the G0/G1 phase. Flow cytometry also revealed that CEC@ZIF-8 NPs induced greater apoptosis rates than CEC, while unloaded ZIF-8 had little inherent pro-apoptotic activity. Furthermore, the levels of reactive oxygen species (ROS) were also upregulated by CEC@ZIF-8 NPs while ROS inhibitors and caspase inhibitors reversed CEC@ZIF-8 NPs-induced apoptosis. Finally, CEC@ZIF-8 NPs also reduced the growth rate of xenograft tumors in mice without the systemic toxicity observed with cisplatin treatment. Conclusions: The CEC@ZIF-8 nano-drug delivery system significantly enhanced the anti-cervical cancer effect of CEC both in vivo and in vitro, providing a more promising drug delivery system for clinical applications and tumor management. At the same time, this work demonstrates the clinical potential of CEC-loaded ZIF-8 nanoparticles for the selective destruction of tumor tissues. Full article
(This article belongs to the Section Drug Delivery and Controlled Release)
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<p>Characterization of the CEC@ZIF-8 nanoparticles and ZIF-8 nanoparticles. (<b>a</b>) TEM images of CEC@ZIF-8 and ZIF-8 nanoparticles. Scale bar, 200 nm. (<b>b</b>) SEM images of CEC@ZIF-8 and ZIF-8 nanoparticles. (<b>c</b>) DLS profile of ZIF-8, CEC@ZIF-8. (<b>d</b>) Zeta potentials of ZIF-8 NPs and CEC@ZIF-8 NPs (The red line represents ZIF-8, and the black line represents CEC@ZIF-8).</p>
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<p>Basic properties of ZIF-8 and CEC@ZIF-8. (<b>a</b>) XRD patterns of CEC@ZIF-8, ZIF-8, and simulated ZIF-8. (<b>b</b>) FTIR spectrum of ZIF-8 and CEC@ZIF-8. (<b>c</b>) TGA curves of ZIF-8 and CEC@ZIF-8.</p>
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<p>In vitro therapy effect of CEC@ZIF-8 against cervical cancer cells. (<b>a</b>) CLSM images of the distribution of drugs in HeLa cells incubated with CEC@ZIF-8 (scale bar = 25 µm). (<b>b</b>) Cell viability of HeLa cells after treatment with (1) free CEC, (2) CEC@ZIF-8, and (3) ZIF-8 for 24 h. (<b>c</b>) Differences in the number of HeLa cell clones formed by different concentrations of CEC@ZIF-8; (<b>d</b>) Statistics of the number of HeLa cell clones formed by different concentrations of CEC@ZIF-8; Compared to the control group, *** <span class="html-italic">p</span> &lt; 0.001, ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>(<b>a</b>) Principal component analysis of HeLa cells based on (control) untreated control (Triangle representation) and (CEC@ZIF-8) CEC@ZIF-8 treatment groups (Circular representation). (<b>b</b>) Volcano plots to determine the DEGs of the control vs. CEC@ZIF-8 groups. (<b>c</b>) GO pathway annotation analysis of differential genes.</p>
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<p>Anticancer action mechanism of CEC@ZIF-8 on HeLa cells. (<b>a</b>,<b>b</b>) Flow cytometric analysis of HeLa cell cell cycle arrest induced by CEC@ZIF-8 and free CEC. (<b>c</b>,<b>d</b>) Flow cytometric analysis of HeLa cell apoptosis induced by CEC@ZIF-8 and free CEC. Compared to the control group, *** <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.</p>
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<p>Anticancer action mechanism of CEC@ZIF-8 on HeLa cells. (<b>a</b>) ROS production in HeLa cells after CEC@ZIF-8 NPs treatment for 3, 6, and 24 h, the cells were stained with the fluorescent probe DCFH-DA and analyzed using flow cytometry. (<b>b</b>) The statistical figure. (<b>c</b>) HeLa cells were treated with 30 and 35 μg/mL CEC@ZIF-8NPs and free CEC (35 μg/mL) as the control. After 24 h, cells were treated with JC-1 dye and analyzed by inverted fluorescence microscope. (<b>d</b>) Flow cytometry was used to analyze the changes in JC-1 fluorescence. (<b>e</b>) HeLa cells were pretreated with 10 mM NAC for 1 h, and then treated with CEC@ZIF-8 NPs and CEC for 24 h. The cells were stained with the fluorescent probe DCFH-DA and analyzed using flow cytometry, and the statistical figure. Compared to the control group, *** <span class="html-italic">p</span> &lt; 0.001. At the same concentration, the group treated with inhibitor was compared with the group without inhibitor treatment, # <span class="html-italic">p</span> &lt; 0.05, ### <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Effect of different concentrations of CEC@ZIF-8 nanoparticles on the migration of tumor cells. (<b>a</b>) HeLa cells were treated with different concentrations of CEC@ZIF-8 nanoparticles for 0 h and 24 h. (<b>b</b>) Statistical chart of the migration ability of HeLa cells. (<b>c</b>) Tumor cell invasion and statistics of HeLa cells treated with different concentrations of CEC@ZIF-8 nanoparticles for 24 h. (<b>d</b>) Statistical plot of the invasion ability of HeLa cells. Compared to the control group, *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>1 × 10<sup>5</sup> TC-1 cells were injected into the right back of mice, and when the tumor was palpable, the mice were randomly divided into 5 groups. (<b>a</b>) The tumor volume and (<b>b</b>) body weight of the mice were measured every two days during drug treatment. Compared to the control group, * <span class="html-italic">p</span> &lt; 0.05. (<b>c</b>,<b>d</b>) On day 25, the mice were sacrificed and weighed for tumor photography and weight. (<b>e</b>) Tissue sections of TC-1 tumor-bearing mice after CEC@ZIF-8NPs treatment: (1) a section of tumor tissue, (2) liver tissue section, (3) kidney tissue section. Compared to the control group, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001. ZIF-8 group compared with CEC@ZIF-8 group, # <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Synthesis of CEC@ZIF-8.</p>
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15 pages, 5236 KiB  
Article
Kinetic Study of Infrared Heat Curing of Thermosetting Polymers
by Tongzhao Wang, Isaac Yu Fat Lun, Liang Xia, Yongji Wang and Song Pan
Coatings 2024, 14(12), 1560; https://doi.org/10.3390/coatings14121560 - 13 Dec 2024
Viewed by 202
Abstract
Infrared (IR) radiation curing technology has a high potential to improve the curing process of thermosetting polymers. To investigate the IR curing reaction mechanism, the present study explores the curing kinetics of glycidyl methacrylate (GMA)/dodecanedioic acid (DDDA) powder coatings subjected to IR radiation. [...] Read more.
Infrared (IR) radiation curing technology has a high potential to improve the curing process of thermosetting polymers. To investigate the IR curing reaction mechanism, the present study explores the curing kinetics of glycidyl methacrylate (GMA)/dodecanedioic acid (DDDA) powder coatings subjected to IR radiation. Fourier-transformed infrared (FT-IR) spectroscopy is employed to record the concentration of epoxide groups with respect to time under different temperature conditions, with the reaction conducted under IR radiation. The resulting data are then fitted by the Levenberg–Marquardt algorithm using MATLAB software to obtain the kinetic parameters, namely the rate constant (k), catalytic constants (n, m), manifestation activation energy (E), and the pre-exponential factor (A) of the curing reaction. Additionally, this study proposes a new concept: the ‘photo-thermal synergistic effect’ of infrared curing and its evaluation criteria using a dimensionless quantity. Incredibly, this index integrates the impact of IR curing technology on two aspects: the curing process and the properties of the cured product. Overall, this study deepens our understanding of the IR curing reaction mechanism and provides a reference for the application of this technology in practical engineering. Full article
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<p>Digital photographs of the galvanized steel substrates.</p>
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<p>(<b>a</b>) Digital photograph of the infrared (IR) curing furnace; (<b>b</b>) emission spectrum of the radiant panel of the equipment.</p>
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<p>PerkinElmer Spectrum Two FT-IR Spectrometer.</p>
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<p>Schematic illustration of the curing reaction between GMA acrylic resin and dodecanedioic acid.</p>
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<p>Fourier infrared (FTIR) absorption spectrum of the uncured powder coating.</p>
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<p>FTIR absorption spectra of GMA/DDDA samples IR−cured for different time intervals at (<b>a</b>) 150 °C, (<b>b</b>) 160 °C, and (<b>c</b>) 170 °C.</p>
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<p>Kinetic model fitting of the cure rate vs. time data obtained for the samples IR-cured at (<b>a</b>) 150 °C, (<b>b</b>) 160 °C, and (<b>c</b>) 170 °C.</p>
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<p>Kinetic model fitting of the cure rate vs. time data obtained for the samples IR-cured at (<b>a</b>) 150 °C, (<b>b</b>) 160 °C, and (<b>c</b>) 170 °C.</p>
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<p>Arrhenius plot for IR curing process of GMA/DDDA.</p>
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<p>Comparison of experimental and model-predicted kinetic behavior of the curing reaction at 165 °C.</p>
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<p>Heat transfer modes of the IR curing process.</p>
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<p>Evaluation of IR curing technology based on the photo-thermal synergistic index (PTSI).</p>
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<p>Artificial neural network for PTSI.</p>
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19 pages, 4533 KiB  
Article
Synthesis Strategy Toward Minimizing Adventitious Oxygen Contents in the Mechanochemically Made Semiconductor Kesterite Cu2ZnSnS4 Nanopowders
by Katarzyna Kapusta, Zbigniew Olejniczak and Jerzy F. Janik
Materials 2024, 17(24), 6091; https://doi.org/10.3390/ma17246091 - 13 Dec 2024
Viewed by 204
Abstract
A multipronged approach to the refined mechanochemical synthesis of the semiconductor kesterite Cu2ZnSnS4 with minimal quantities of adventitious oxygen as well as to optimizing handling procedures from that angle is described. Three precursor systems are used to provide a pool [...] Read more.
A multipronged approach to the refined mechanochemical synthesis of the semiconductor kesterite Cu2ZnSnS4 with minimal quantities of adventitious oxygen as well as to optimizing handling procedures from that angle is described. Three precursor systems are used to provide a pool of freshly made cubic prekesterite nanopowders with no semiconductor properties and the thermally annealed at 500 °C tetragonal kesterite nanopowders of the semiconductor. Based on the previously reported high propensity of such nanopowders to long-term deteriorating oxidation in ambient air, suitable modifications of all crucial synthesis steps are implemented, which are directed toward excluding or limiting the materials’ exposure to air. The nanopowders are comprehensively characterized by powder XRD, FT-IR/Raman/UV-Vis spectroscopies, solid-state 65Cu/119Sn MAS NMR, TGA/DTA-QMS analysis, SEM, BET/BJH specific surface area, and helium density determinations, and, significantly, are directly analyzed for oxygen and hydrogen contents. The important finding is that following the anaerobic procedures and realistically minimizing the materials’ exposure to air in certain manipulation steps results in the preparation of better oxidation-resistant nanopowders with a dramatic relative decrease in their oxygen content than previously reported. The adherence to the strict synthesis conditions that limit contact of the no-oxygen-containing kesterite nanopowders with ambient air is emphasized. Full article
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Graphical abstract

Graphical abstract
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<p>Powder XRD patterns for cubic prekesterite (<b>left column</b>) and tetragonal kesterite (<b>right column</b>) polytypes prepared via the anaerobic mechanochemical synthesis method from three different precursor systems: CE (constituent elements), MS (metal sulfides), and CA (copper alloys). Reference bar charts for cubic sphalerite ZnS (<b>left column</b>) and tetragonal kesterite (<b>right column</b>), which are copied from cards with specific reference numbers in any of the PDF (Powder Diffraction File) databases, as well as assigned space groups, are shown in the bottom row. Patterns include data of the average crystallite sizes <span class="html-italic">D<sub>av</sub></span> and the cell parameters <span class="html-italic">a</span> and <span class="html-italic">c</span>.</p>
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<p>Typical SEM images of all nanopowders exemplified with different magnifications for CE precursor system products: <b>upper row</b>—prekesterite, <b>bottom row</b>—kesterite.</p>
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<p>FT-IR spectra of prekesterite and kesterite nanopowders prepared from CE precursor system. Note that the curvature of the baseline is due to nonspecific light absorption in KBr pellets.</p>
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<p>Micro-Raman spectra for prekesterites (<b>left</b>) and kesterites (<b>right</b>) from CE, MS, and CA precursor systems. Vertical dashed lines are in positions of residual carbon and are guides for the eye, only.</p>
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<p>UV-Vis spectra for thermally annealed tetragonal kesterite nanopowders from CE, MS, and CA precursor systems. In inserts, Tauc (αhν)2 vs. hν [energy] plots (α approximated by Kubelka–Munk transformation), and the energy band gaps E<sub>g</sub> derived from them, are shown.</p>
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<p>Oxygen O 1s, sulfur S 2p, and copper Cu 2p XPS spectra for nanopowders from MS and CA precursor systems. For each system, XPS signals for prekesterite are shown in the upper row and for kesterite in the bottom row.</p>
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<p><sup>65</sup>Cu (<b>left</b>) and <sup>119</sup>Sn (<b>right</b>) MAS NMR spectra for annealed kesterite nanopowders from CE, MS, and CA precursor systems. Dashed vertical lines in left column show <sup>65</sup>Cu peak positions for kesterite (broad peak) and CuCl (sharp peak, 0 ppm). Solid vertical lines in the right column show approx. positions of two deconvoluted <sup>119</sup>Sn peaks shown in red—labeled 1 and 2 The lines are guides for the eye only. Asterisks (*) indicate spinning sidebands.</p>
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<p>TGA/DTA-QMS determinations for prekesterite (<b>left</b>) and kesterite (<b>right</b>) nanopowders from CE precursor system. The top row shows thermogravimetric (TGA—dotted line) and thermal (DTA—solid line) changes, whereas the rows below show gas evolution curves for m/e corresponding to, from top to bottom, CS<sub>2</sub>, SO<sub>2</sub>, COS, CO<sub>2</sub>, and H<sub>2</sub>O. Vertical dashed lines indicate peak positions of evolving compounds and are guides for the eye, only.</p>
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<p>TGA/DTA-QMS determinations for prekesterite (<b>left</b>) and kesterite (<b>right</b>) nanopowders from the MS precursor system. The top row shows thermogravimetric (TGA—dotted line) and thermal (DTA—solid line) changes, whereas the rows below show gas evolution curves for m/e corresponding, from top to bottom, to CS<sub>2</sub>, SO<sub>2</sub>, COS, CO<sub>2</sub>, and H<sub>2</sub>O. Vertical dashed lines indicate peak positions of evolving compounds and are guides for the eye, only.</p>
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<p>TGA/DTA-QMS determinations for prekesterite (<b>left</b>) and kesterite (<b>right</b>) nanopowders from the CA precursor system. The top row shows thermogravimetric (TGA—dotted line) and thermal (DTA—solid line) changes, whereas the rows below show gas evolution curves for m/e corresponding, from top to bottom, to CS<sub>2</sub>, SO<sub>2</sub>, COS, CO<sub>2</sub>, and H<sub>2</sub>O. Vertical dashed lines indicate peak positions of evolving compounds and are guides for the eye, only.</p>
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10 pages, 4525 KiB  
Article
Investigation on the Coordination Bonding Nature of Actinide-Doped Endohedral Borospherenes An@B400/+/− (An = U, Np, Pu, Am, Cm)
by Xiao-Ni Zhao, Zhi-Hong Wei and Si-Dian Li
Molecules 2024, 29(24), 5879; https://doi.org/10.3390/molecules29245879 - 13 Dec 2024
Viewed by 243
Abstract
Endohedral metallo-borospherenes M@B40 have received considerable attention since the discovery of B40 in 2014. However, the coordination bonding nature of most of actinide-doped endohedral An@B40 still remains in dispute or unexplored. Extensive and systematic first-principles theory calculations performed herein unveil [...] Read more.
Endohedral metallo-borospherenes M@B40 have received considerable attention since the discovery of B40 in 2014. However, the coordination bonding nature of most of actinide-doped endohedral An@B40 still remains in dispute or unexplored. Extensive and systematic first-principles theory calculations performed herein unveil the ground states of triplet U@B40 (1, C2v, 3A2), quartet U@B40 (2, C2v, 4B1), quintet Np@B40+ (3, C2v, 5A1), sextet Np@B40 (4, C2, 6A), septet Pu@B40 (5, C2v, 7A2), octet Am@B40 (6, C2v, 8A2), and octet Cm@B40+ (7, C2v, 8A2) at the coupled-cluster with triple excitations CCSD(T) level. Detailed principal interacting spin orbital (PISO) and adaptive natural density partitioning (AdNDP) analyses reveal their coordination bonding patterns and show that, with the numbers of unpaired α-electrons in parallel spins varying from nα = 2, 3, 4, 5, 6, 7, to 7 in these complexes, the percentage contribution of the An 5f-involved PISO pairs to overall coordination bonding interactions decreases monotonously from 41% to 1%, and the contribution of An 6d-involved PISO pairs increases monotonously from 47% to 72%, while the marginal contribution of An 7s-involved PISO pairs remains basically unchanged (4~7%). The IR, Raman, and photoelectron spectra of the most concerned species are computationally simulated to facilitate their characterizations in future experiments. Full article
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Figure 1

Figure 1
<p>Three optimized low-lying isomers of (<b>a</b>) U@B<sub>40</sub> and (<b>b</b>) U@B<sub>40</sub><sup>−</sup> with their relative energies indicated in eV at PBE0, TPSSh (parentheses), and CCSD(T)/PBE0 (square brackets) levels, respectively, and optimized ground-state structures of (<b>c</b>) <span class="html-italic">C</span><sub>2<span class="html-italic">v</span></sub> U@B<sub>40</sub> (<b>1</b>,<sup>3</sup>A<sub>2</sub>), <span class="html-italic">C</span><sub>2<span class="html-italic">v</span></sub> U@B<sub>40</sub><sup>−</sup> (<b>2</b>, <sup>4</sup>B<sub>1</sub>), <span class="html-italic">C</span><sub>2<span class="html-italic">v</span></sub> Np@B<sub>40</sub><sup>+</sup> (<b>3</b>, <sup>5</sup>A<sub>1</sub>), <span class="html-italic">C</span><sub>2</sub> Np@B<sub>40</sub> (<b>4</b>, <sup>6</sup>A), <span class="html-italic">C</span><sub>2<span class="html-italic">v</span></sub> Pu@B<sub>40</sub> (<b>5</b>, <sup>7</sup>A<sub>2</sub>), <span class="html-italic">C</span><sub>2<span class="html-italic">v</span></sub> Am@B<sub>40</sub> (<b>6</b>, <sup>8</sup>A<sub>2</sub>), and <span class="html-italic">C</span><sub>2<span class="html-italic">v</span></sub> Cm@B<sub>40</sub><sup>+</sup> (<b>7</b>, <sup>8</sup>A<sub>2</sub>) at the PBE0 level.</p>
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<p>(<b>a</b>) AdNDP bonding pattern of triplet <span class="html-italic">C</span><sub>2<span class="html-italic">v</span></sub> U@B<sub>40</sub> (<b>1</b>), with the occupation numbers (ON) indicated. (<b>b</b>) PISO bonding pattern of <span class="html-italic">C</span><sub>2<span class="html-italic">v</span></sub> U@B<sub>40</sub> (<b>1</b>) with the U coordination center and B<sub>40</sub> ligand as interacting fragments, with the corresponding occupation numbers (PISO Pop.), PIO-based bond indexes (PBI), and percentage contributions (contrib/%) to the overall coordination interactions indicated.</p>
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<p>Unpaired PISO α-orbitals of U@B<sub>40</sub> (<b>1</b>, <sup>3</sup>A<sub>2</sub>), U@B<sub>40</sub><sup>−</sup> (<b>2</b>, <sup>4</sup>B<sub>1</sub>), Np@B<sub>40</sub><sup>+</sup> (<b>3</b>, <sup>5</sup>A<sub>1</sub>), Np@B<sub>40</sub> (<b>4</b>, <sup>6</sup>A), Pu@B<sub>40</sub> (<b>5</b>, <sup>7</sup>A<sub>2</sub>), Am@B<sub>40</sub> (<b>6</b>, <sup>8</sup>A<sub>2</sub>), and Cm@B<sub>40</sub><sup>+</sup> (<b>7</b>, <sup>8</sup>A<sub>2</sub>), with the α-spin occupation numbers (PISO Pop.) associated with the principal interacting spin orbitals, PISO-based bond indexes (PBI), and their percentage contributions (contrib/%) to the overall coordination interactions between the An coordination center and B<sub>40</sub> ligand indicated. The corresponding AdNDP analyses of the singly occupied 1c–1e α-5f orbitals in <b>1</b>, <b>2</b>, <b>3</b>, <b>5</b>, <b>6</b>, and <b>7</b> and 41c–1e α-bond in Np@B<sub>40</sub> (<b>4</b>) are compared at the bottom, with the occupation numbers (ON) indicated.</p>
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<p>Variation of the calculated overall An--B<sub>40</sub> coordination interaction energies highlighted in blue and the corresponding PISO percentage contributions of 5f-, 6d-, and 7s-orbital-involved pair interactions highlighted in red in U@B<sub>40</sub> (<b>1</b>, <sup>3</sup>A<sub>2</sub>), U@B<sub>40</sub><sup>−</sup> (<b>2</b>, <sup>4</sup>B<sub>1</sub>), Np@B<sub>40</sub><sup>+</sup> (<b>3</b>, <sup>5</sup>A<sub>1</sub>), Np@B<sub>40</sub> (<b>4</b>, <sup>6</sup>A), Pu@B<sub>40</sub> (<b>5</b>, <sup>7</sup>A<sub>2</sub>), Am@B<sub>40</sub> (<b>6</b>, <sup>8</sup>A<sub>2</sub>), and Cm@B<sub>40</sub><sup>+</sup> (<b>7</b>, <sup>8</sup>A<sub>2</sub>) with the numbers of singly occupied 5f electrons (n<sub>α</sub>) at the PBE0 level.</p>
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<p>Simulated IR, Raman, and UV–Vis spectra of (<b>a</b>) <span class="html-italic">C</span><sub>2<span class="html-italic">v</span></sub> U@B<sub>40</sub> (<b>1</b>, <sup>3</sup>A<sub>2</sub>), and IR, Raman, and photoelectron spectra (PES) of (<b>b</b>) <span class="html-italic">C</span><sub>2<span class="html-italic">v</span></sub> U@B<sub>40</sub><sup>−</sup> (<b>2</b>, <sup>4</sup>B<sub>1</sub>) at the PBE0 level.</p>
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16 pages, 4976 KiB  
Brief Report
Assessment of the Effect of Deleting the African Swine Fever Virus Gene R298L on Virus Replication and Virulence of the Georgia2010 Isolate
by Elizabeth Ramirez-Medina, Lauro Velazquez-Salinas, Alyssa Valladares, Ediane Silva, Leeanna Burton, Douglas P. Gladue and Manuel V. Borca
Viruses 2024, 16(12), 1911; https://doi.org/10.3390/v16121911 - 13 Dec 2024
Viewed by 272
Abstract
African swine fever (ASF) is a lethal disease of domestic pigs that is currently challenging swine production in large areas of Eurasia. The causative agent, ASF virus (ASFV), is a large, double-stranded and structurally complex virus. The ASFV genome encodes for more than [...] Read more.
African swine fever (ASF) is a lethal disease of domestic pigs that is currently challenging swine production in large areas of Eurasia. The causative agent, ASF virus (ASFV), is a large, double-stranded and structurally complex virus. The ASFV genome encodes for more than 160 proteins; however, the functions of most of these proteins are still in the process of being characterized. The ASF gene R298L, which has previously been characterized as able to encode a functional serine protein kinase, is expressed late in the virus infection cycle and may be part of the virus particle. There is no description of the importance of the R298L gene in basic virus functions such as replication or virulence in the natural host. Based on its evolution, it is proposed that there are four different phenotypes of R298L of ASFV in nature, which may have potential implications for R298L functionality. We report here that a recombinant virus lacking the R298L gene in the Georgia 2010 isolate, ASFV-G-∆R298L, does not exhibit significant changes in its replication in primary cultures of swine macrophages. In addition, when experimentally inoculated in pigs, ASFV-G-∆R298L induced a fatal form of the disease similar to that caused by the parental virulent ASFV-G. Therefore, deletion of R298L does not significantly affect virus replication and virulence in domestic pigs of the ASFV Georgia 2010 isolate. Full article
(This article belongs to the Collection African Swine Fever Virus (ASFV))
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Figure 1

Figure 1
<p>Phylogenetic dynamics of <span class="html-italic">R298L</span> gene in nature. (<b>A</b>) Phylogenetic analysis conducted by the neighbor-joining method using the full-length sequence of the <span class="html-italic">R298L</span> gene indicates the existence of three potential phylogenetic groups. Numbers in the parenthesis indicate the genotype of different strains based on the <span class="html-italic">B646L</span> classification. Percentage of nucleotide (nt) and amino acid (AA) identities within groups are displayed. Pairwise distance analysis showing differences at the nucleotide (<b>B</b>) and amino acid level (<b>C</b>) between phylogenetic groups are exhibited. (<b>D</b>) Phylogenic tree reconstructed by the maximum likelihood method using full length amino acid sequences of <span class="html-italic">R298L</span>. ASFV labeled with the same shape indicates 100% amino acid sequence identity.</p>
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<p>Amino acid similarities of <span class="html-italic">R298L</span> among ASFV representative strains. Amino acid alignment showing similarities of the <span class="html-italic">R298L</span> protein among a group of representative ASFV isolates. The protein kinase/catalytic domain spans between residues 46 and 277. Asterisks above specific sites indicate ATP binding residues in <span class="html-italic">R298L</span>. Conservation plot scores reflect the nature of the change in specific sites. Increased scores reflect substitutions between residues with similar biological properties. The analysis was conducted in the software Jalview version 2.11.1.7.</p>
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<p>Evolutionary dynamics of <span class="html-italic">R298L</span> gene in nature. (<b>A</b>) Comparison between synonymous (dS) and nonsynonymous (dN) substitutions rates during the evolution of the <span class="html-italic">R298L</span> gene. Significant differences between dS and dN were determined by the unpaired <span class="html-italic">t</span>-test. (<b>B</b>) Graphic representation obtained by SLAC analysis, showing the ratio dN-dS at specific codon sites in the <span class="html-italic">R298L</span> gene of ASFV. Identification of specific codon sites under positive selection (blue asterisks) and negative selection (green asterisks). Orange asterisks represent sites of negative selection at internal nodes. Results were obtained by MEME (<span class="html-italic">p</span>-value threshold of 0.1) and FEL (<span class="html-italic">p</span>-value threshold of 0.1). Numbers close to the asterisk indicate the specific codon position.</p>
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<p>Ancestral reconstruction analysis of codon sites under positive selection at <span class="html-italic">R298L</span>. The analysis shows the evolutionary dynamics among the predicted phylogenetic groups in <span class="html-italic">R298L</span> at codon 36 (<b>A</b>), 137 (<b>B</b>) and 182 (<b>C</b>). Each phylogenetic tree displays the predicted codon sequences at internal nodes (most probable common ancestor sequence associated with the divergence between and within phylogenetic groups) and leaf nodes (represented by different isolates). Analysis was conducted using the algorithm MEME. Results were saved in json format and visualized in the MEME analysis result visualization tool (<a href="https://observablehq.com/@spond/meme" target="_blank">https://observablehq.com/@spond/meme</a>, accessed on 25 October 2024).</p>
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<p>Detection of epistasis/co-evolution in <span class="html-italic">R298L</span>. (<b>A</b>) Pairs of co-evolving sites identified by BMG analysis (posterior probability cutoff 0.5). P [Site 1 –&gt; Site 2] indicates the probability of site 2 to be conditionally dependent on site 1. P [Site 2 –&gt; Site 1] indicates the probability of site 1 to be conditionally dependent on site 2. P [Site 1 &lt;–&gt; Site 2] indicates the probability that sites 1 and 2 are not conditionally independent. Ancestral reconstruction analysis using MEME was conducted to show the evolutionary dynamics of pairs of co-evolving sites 114–137 (<b>B</b>) and 238–256 (<b>C</b>). For each phylogenetic tree, the predicted amino acid sequences at internal nodes are shown (most probable common ancestor sequence associated with the divergence between and within phylogenetic groups) and leaf nodes (represented by different isolates). Phylogenetic trees were obtained using the MEME analysis result visualization tool (<a href="https://observablehq.com/@spond/meme" target="_blank">https://observablehq.com/@spond/meme</a>, accessed on 25 October 2024).</p>
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<p>Expression of ASFV gene <span class="html-italic">R298L</span> in swine macrophages infected with ASFV-G. Reverse transcription qPCR was performed to assess the expression of the <span class="html-italic">R298L</span> gene at different time points post infection. Results obtained using specific qPCRs to detect the expression of ASFV genes encoding early protein p30 and late protein p72 are used as references. Transcription levels of different ASFV genes are expressed as relative quantities of mRNA accumulation (estimated by 2<sup>−ΔΔCt</sup>). Values are expressed in log<sub>10</sub>. Dashed line reflects the background (≤1.26 log<sub>10</sub> 2<sup>−ΔΔCt</sup>) associated with potential traces of DNA contamination after treatment of the RNA samples with DNase I.</p>
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<p>Schematic for the development of ASFV-G-∆R298L. The recombinant vector, containing the mCherry reporter gene under the ASFV p72 promoter activity and the gene positions are shown. The nucleotide positions of the area that was deleted in the ASFV-G genome are indicated by the dashed lines. The resulting ASFV-G-∆R298L virus with the cassette inserted is shown on the bottom.</p>
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<p>In vitro growth kinetics in primary swine macrophage cell cultures for ASFV-G-∆R298L and parental ASFV-G (MOI = 0.01). Data represent means and standard deviations of two replicas. Sensitivity using this methodology for detecting virus is ≥log10<sup>1.8</sup> HAD<sub>50</sub>/mL.</p>
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<p>Evolution of body temperature in animals (5 animals/group) IM infected with 10<sup>2</sup> HAD<sub>50</sub> of either ASFV-G-∆R298L or parental ASFV-G.</p>
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<p>Evolution of mortality in animals IM infected with 10<sup>2</sup> HAD<sub>50</sub> of either ASFV-G-∆R298L or parental virulent ASFV-G.</p>
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<p>Viremia titers detected in pigs IM inoculated with 10<sup>2</sup> HAD<sub>50</sub> of either ASFV-G-∆R298L or ASFV-G. Each symbol represents individual viremia titers in each animal in the groups. Sensitivity of virus detection: ≥log10 <sup>1.8</sup> TCID<sub>50</sub>/mL.</p>
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