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Search Results (1,762)

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14 pages, 3205 KiB  
Article
Antimicrobial Activity of Diffusible Substances Produced by Lactococcus lactis Against Bacillus cereus in a Non-Contact Co-Culture Model
by Yuting Han, Adenike A. Akinsemolu, Christian K. Anumudu, Taghi Miri and Helen Onyeaka
Hygiene 2024, 4(4), 469-482; https://doi.org/10.3390/hygiene4040035 - 5 Nov 2024
Viewed by 122
Abstract
The symptoms of foodborne illness caused by Bacillus cereus often go unreported, complicating the effectiveness of conventional chemical and physical methods used to inhibit its growth in food production. This challenge, combined with the increasing use of lactic acid bacteria (LAB) in the [...] Read more.
The symptoms of foodborne illness caused by Bacillus cereus often go unreported, complicating the effectiveness of conventional chemical and physical methods used to inhibit its growth in food production. This challenge, combined with the increasing use of lactic acid bacteria (LAB) in the food industry and consumer preference for minimally processed products, prompted this study. The antibacterial activity of diffusible substances produced by Lactococcus lactis ATCC 11454 against Bacillus cereus NC11143 and Escherichia coli K-12 MG1655 was investigated using a non-contact co-culture model utilising deMann Rogosa and Sharpe broth, with glucose as a carbon source. This study employed plate counting and flow cytometry to assess the impact of these substances on bacterial growth and to analyse their composition and antimicrobial efficacy. The co-culture of Lactococcus lactis ATCC 11454 resulted in the production of a stable antimicrobial peptide, which was heat resistant and acid tolerant. Purification was achieved via ammonium sulphate precipitation and preparative HPLC, yielding a peptide with a molecular mass of 3.3 kDa, with daughter ion fractions similar to nisin A. Antimicrobial activity studies demonstrated that the diffusible substances effectively inhibited B. cereus growth over a period of eight days and exhibited bactericidal activity, killing 99% of the B. cereus cells. Additionally, these substances also inhibited Escherichia coli K-12 MG1655 grown under similar conditions. Comparative analysis revealed that in the co-culture assay, L. lactis produced a 50% higher yield of the antimicrobial peptides compared to pure cultures. Similarly, the specific growth rate of L. lactis was four times higher. With respect to protein purification and concentration, ammonium sulphate precipitation coupled with solid phase extraction was most effective in the purification and concentration of the diffusible substances. The findings provide a basis for utilising bacteriocin-producing strains as a preservation method, offering an alternative to traditional chemical and physical control approaches especially for the food industry. Full article
(This article belongs to the Special Issue Food Hygiene and Human Health)
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<p>The log CFU/mL of <span class="html-italic">B. cereus</span> (B alone) and <span class="html-italic">B. cereus</span> in the co-culture assay (L + B). The blue trend line indicates the microbial load of <span class="html-italic">B. cereus</span> across the days of incubation while the orange indicates the microbial load of co-culture or <span class="html-italic">B. cereus</span> and <span class="html-italic">Lactococcus lactis</span>.</p>
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<p>The log CFU/mL of <span class="html-italic">E. coli</span> (E alone) and <span class="html-italic">E. coli</span> in the co-culture assay (L + E). The blue trend line indicates the microbial load of <span class="html-italic">E. coli</span> across the days of incubation while the orange indicates the microbial load of co-culture or <span class="html-italic">E. coli</span> and <span class="html-italic">Lactococcus lactis</span>.</p>
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<p>The FCM anaysis of <span class="html-italic">B.cereus</span>.</p>
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<p>The FCM results of <span class="html-italic">E. coli</span> cells.</p>
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<p>Typical colour response curves for BSA protein. The dashed and solid blue line is the trendline indicating colour response to increasing BSA standard concentration which was utilised in the determination of the protein concentration of the diffusible substance.</p>
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<p>The HPLC results for diffusible substances.</p>
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21 pages, 8446 KiB  
Article
Investigating the Effects of the Height-to-Diameter Ratio and Loading Rate on the Mechanical Properties and Crack Extension Mechanism of Sandstone-Like Materials
by Yunbo Gou, Jianbiao Bai, Yanhui Li, Xiangqian Zhao, Lianhai Tai and Zizhao Fu
Appl. Sci. 2024, 14(21), 10049; https://doi.org/10.3390/app142110049 - 4 Nov 2024
Viewed by 398
Abstract
The causes of the size effect (SE) and loading rate effect (LR) for rocks remain unclear. Based on this, a gypsum-mixed material was used to simulate sandstone, where the dosing ratio was 7.5% river sand, 17.5% quartz, 58.3% α-high-strength gypsum, and 16.7% [...] Read more.
The causes of the size effect (SE) and loading rate effect (LR) for rocks remain unclear. Based on this, a gypsum-mixed material was used to simulate sandstone, where the dosing ratio was 7.5% river sand, 17.5% quartz, 58.3% α-high-strength gypsum, and 16.7% water. The specimens were designed to have a height-to-diameter ratio (HDR) of 0.6~2, and three strain rates (SRs)—static, quasi-dynamic, and dynamic—were used to perform single-factor rotational uniaxial compression experiments. PFC2D was used to numerically simulate the damage pattern of a sandstone-like specimen. The results showed that the physical parameters did not change monotonically, as was previously found. The main reason for this is that the end-face friction effect (EFE) is generated when the dynamic SR or the HDR is 0.6~1, with a damage pattern of “X”. Under mechanical analysis, the power consumed by the EFE was inversely proportional to the HDR and directly proportional to the LR, and it can reduce the actual amount of energy transferred inside the specimen. This paper may provide a foundation for the study of non-linear hazards in coal and rock. Full article
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<p>Location of the target coal mine.</p>
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<p>Flow chart of specimen preparation and testing.</p>
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<p>Part of the specimens with different HDRs.</p>
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<p>Stress–strain curves of sandstone and sandstone-like materials.</p>
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<p>Stress–strain curves of specimens with different HDR. (<b>a</b>) HDRs of 0.6–1; (<b>b</b>) HDRs of 1.2–1.6; (<b>c</b>) HDRs of 1.6–2.</p>
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<p>The changing trend of mechanical parameters with different HDRs at a LR of 0.8 mm·min<sup>−1</sup>: (<b>a</b>) UCS; (<b>b</b>) axial peak strain.</p>
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<p>Stress–strain curves of the specimens under different LRs: (<b>a</b>) static (0.1~0.5 mm·min<sup>−1</sup>); (<b>b</b>) quasi-dynamic (1~5 mm·min<sup>−1</sup>); (<b>c</b>) dynamic (10~50 mm·min<sup>−1</sup>).</p>
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<p>Mechanical parameter trends with same HDR at different LRs: (<b>a</b>) UCS; (<b>b</b>) axial peak strain.</p>
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<p>Parallel bonding model (PBM) and failure criterion.</p>
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<p>Comparison of experimental and numerical simulations of stress–strain curves.</p>
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<p>Crack extension in uniaxial compression of the specimens with different HDRs.</p>
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<p>The pattern of variation in the number of internal cracks formed when specimens are damaged: (<b>a</b>) different HDRs; (<b>b</b>) different LRs.</p>
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<p>Crack extension in uniaxial compression of the specimens with different LRs.</p>
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<p>Schematic diagram of the EFE. (<b>a</b>) Mechanical structural modeling of the end face; (<b>b</b>) conical damage angle for specimens of different heights.</p>
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<p>Diagram of the actual input power inside the specimen.</p>
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10 pages, 3337 KiB  
Article
First-Principles Study on Strain-Induced Modulation of Electronic Properties in Indium Phosphide
by Libin Yan, Zhongcun Chen, Yurong Bai, Wenbo Liu, Huan He and Chaohui He
Nanomaterials 2024, 14(21), 1756; https://doi.org/10.3390/nano14211756 - 31 Oct 2024
Viewed by 384
Abstract
Indium phosphide (InP) is widely utilized in the fields of electronics and photovoltaics due to its high electron mobility and high photoelectric conversion efficiency. Strain engineering has been extensively employed in semiconductor devices to adjust physical properties and enhance material performance. In the [...] Read more.
Indium phosphide (InP) is widely utilized in the fields of electronics and photovoltaics due to its high electron mobility and high photoelectric conversion efficiency. Strain engineering has been extensively employed in semiconductor devices to adjust physical properties and enhance material performance. In the present work, the band structure and electronic effective mass of InP under different strains are investigated by ab initio calculations. The results show that InP consistently exhibits a direct bandgap under different strains. Both uniaxial strain and biaxial tensile strain exhibit linear effects on the change in bandgap values. However, the bandgap of InP is significantly influenced by uniaxial compressive strain and biaxial tensile strain, respectively. The study of the InP bandgap under different hydrostatic pressures reveals that InP becomes metallic when the pressure is less than −7 GPa. Furthermore, strain also leads to changes in effective mass and the anisotropy of electron mobility. The studies of electronic properties under different strain types are of great significance for broadening the application of InP devices. Full article
(This article belongs to the Special Issue Theoretical Calculation Study of Nanomaterials: 2nd Edition)
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<p>(<b>a</b>) The conventional unit cell of InP. Schematic illustrations of (<b>b</b>) uniaxial, (<b>c</b>) biaxial and (<b>d</b>) hydrostatic pressure. The red balls denote In atoms, and the yellow balls denote P atoms. The red and blue arrows represent induced strain (<math display="inline"><semantics> <mrow> <msub> <mrow> <mi>ε</mi> </mrow> <mrow> <mi>i</mi> </mrow> </msub> </mrow> </semantics></math>) and optimized strain (<math display="inline"><semantics> <mrow> <msub> <mrow> <mi>ε</mi> </mrow> <mrow> <mn>0</mn> </mrow> </msub> </mrow> </semantics></math>), respectively.</p>
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<p>(<b>a</b>) Optimized strain values and (<b>b</b>) bond lengths of In–P under different strain states. Uniaxial and biaxial correspond to the induced strain values. The dashed lines indicate the parameters of In–P without any strain.</p>
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<p>Strain-induced effects on the bandgap value of InP as functions of uniaxial and biaxial strain. <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>E</mi> </mrow> <mrow> <mi mathvariant="normal">g</mi> </mrow> </msub> </mrow> </semantics></math> represents the difference between the VBM and CBM; the VBM and CBM represent the valance band maximum and conduction band minimum, respectively.</p>
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<p>The band structure evolution of InP with respect to ±10% and ±5% (<b>a</b>) uniaxial and (<b>b</b>) biaxial strain. The bandgap value of unstrained InP (1.43 eV) is set as a reference value, the Fermi level is aligned to zero, and the arrows represent the directions from the VBM to the CBM.</p>
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<p>Electron effective masses of InP as functions of (<b>a</b>) uniaxial strain, (<b>b</b>) biaxial strain and (<b>c</b>) changes in the electron effective mass ratio under a different strain state. The dashed line represents the average electron effective mass and mass ratio of strain-free InP.</p>
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<p>Structure parameters: (<b>a</b>) the lattice constant and (<b>b</b>) the induced strain of InP under different hydrostatic pressures.</p>
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<p>(<b>a</b>) Bandgap properties and (<b>b</b>) electron effective mass under different pressures. The VBM and the CBM represent the valance band maximum and conduction band minimum, respectively.</p>
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<p>(<b>a</b>,<b>d</b>) 200 points, (<b>b</b>,<b>e</b>) 400 points, (<b>c</b>,<b>f</b>) 600 points. Electron effective mass under different numbers of points (200, 400 and 600) used in k-path sampling.</p>
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18 pages, 5372 KiB  
Article
Influence of Ionic Liquids on the Functionality of Optoelectronic Devices Employing CsPbBr3 Single Crystals
by Faisal Alresheedi
Crystals 2024, 14(11), 956; https://doi.org/10.3390/cryst14110956 - 31 Oct 2024
Viewed by 346
Abstract
Regulating the nucleation temperature and growth rates during inverse temperature crystallization (ITC) is vital for obtaining high-quality perovskite single crystals via this technique. Precise control over these parameters enables growing crystals optimized for various optoelectronic devices. In this study, it is demonstrated that [...] Read more.
Regulating the nucleation temperature and growth rates during inverse temperature crystallization (ITC) is vital for obtaining high-quality perovskite single crystals via this technique. Precise control over these parameters enables growing crystals optimized for various optoelectronic devices. In this study, it is demonstrated that incorporating a 1-butyl-3-methylimidazolium bromide (BMIB) ionic liquid into the precursor solution of cesium lead bromide (CsPbBr3) brings about a dual enhancement effect. This includes a reduction in nucleation temperature from 85 °C to 65 °C and a significant improvement in both optoelectronic characteristics and crystal properties. The CsPbBr3 single crystals grown using ITC with BMIB added (method (2)) demonstrate improved chemical and physical properties (crystallinity, lattice strain, nonradioactive recombination, and trap density) compared to CsPbBr3 single crystals produced through conventional 85 °C ITC alone (method (1)). The exceptional quality of CsPbBr3 single crystals produced with the inclusion of BMIB allowed for the development of a highly responsive optoelectronic device, demonstrating heightened sensitivity to green light. The findings of this investigation reveal that the growth of perovskite single crystals assisted by ionic liquid exerts a substantial impact on the characteristics of the crystals. This influence proves advantageous for the development of optoelectronic devices based on single crystals. Full article
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<p>Diagram illustrating the synthesis of CsPbBr<sub>3</sub> single crystal under two conditions: (<b>a</b>) without BMIB and (<b>b</b>) with the addition of BMIB.</p>
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<p>(<b>a</b>) Comparative <sup>1</sup>H NMR analysis of BMIB and CsPbBr<sub>3</sub> crystals with incorporated BMIB. (<b>b</b>) ¹H NMR analysis of BMIB and its interaction with PbBr<sub>2</sub> in DMSO-d<sub>6</sub>.</p>
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<p>Room temperature XRD patterns of CsPbBr<sub>3</sub> single crystals.</p>
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<p>Photoluminescence characterization of emission properties in different CsPbBr<sub>3</sub> single crystals (RT).</p>
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<p>(<b>a</b>) Layered structure of the device in schematic form. (<b>b</b>) Analysis of space-charge limited current regimes in CsPbBr<sub>3</sub> single crystals.</p>
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<p>Statistical variations in (<b>a</b>) conductivity, (<b>b</b>) trap density, and (<b>c</b>) mobility of CsPbBr<sub>3</sub> single crystals.</p>
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<p>Statistical variations in (<b>a</b>) conductivity, (<b>b</b>) trap density, and (<b>c</b>) mobility of CsPbBr<sub>3</sub> single crystals.</p>
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<p>(<b>a</b>) Comparative photoluminescence decay analysis of CsPbBr<sub>3</sub> single crystals (RT). Statistical variations in (<b>b</b>) carrier lifetime and (<b>c</b>) diffusion length of CsPbBr<sub>3</sub> single crystals.</p>
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<p>(<b>a</b>) Comparative photoluminescence decay analysis of CsPbBr<sub>3</sub> single crystals (RT). Statistical variations in (<b>b</b>) carrier lifetime and (<b>c</b>) diffusion length of CsPbBr<sub>3</sub> single crystals.</p>
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<p>(<b>a</b>) Current–voltage characterization under illumination and dark conditions. (<b>b</b>) Time-dependent current response.</p>
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<p>(<b>a</b>) J<sub>ph</sub> characterization under varied light intensity. (<b>b</b>) The parameters R, D*, and EQE under varied light intensity. (<b>c</b>) Normalized photocurrent transient at 2 V (green light). (<b>d</b>) Comparative photoresponse kinetics of reference and BMIB-treated PDs under green light.</p>
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<p>(<b>a</b>) J<sub>ph</sub> characterization under varied light intensity. (<b>b</b>) The parameters R, D*, and EQE under varied light intensity. (<b>c</b>) Normalized photocurrent transient at 2 V (green light). (<b>d</b>) Comparative photoresponse kinetics of reference and BMIB-treated PDs under green light.</p>
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15 pages, 5629 KiB  
Article
FBG and BOTDA Based Monitoring of Mine Pressure Under Remaining Coal Pillars Using Physical Modeling
by Dingding Zhang, Zhi Li, Yanyan Duan, Long Yang and Hongrui Liu
Sensors 2024, 24(21), 7037; https://doi.org/10.3390/s24217037 - 31 Oct 2024
Viewed by 235
Abstract
Strong mine pressure often emerges when the working face of the lower coal seam in a closely spaced coal seam system passes through the remaining coal pillar in the overlying goaf. This study investigates the law of overburden movement and the manifestation of [...] Read more.
Strong mine pressure often emerges when the working face of the lower coal seam in a closely spaced coal seam system passes through the remaining coal pillar in the overlying goaf. This study investigates the law of overburden movement and the manifestation of mine pressure during mining under the remaining coal pillar. A physical model measuring 2.5 × 0.2 × 1.503 m is constructed. Fiber Bragg grating sensing technology (FBG) and Brillouin optical time domain analysis technology (BOTDA) are employed in the physical model experiment to monitor the internal strain of the overlying rock as the working face advances. This study determines the laws of overlying rock fracture and working face pressure while mining coal seams beneath the remaining coal pillar. It analyzes the relationship between the pressure at the working face and the strain characteristics of the horizontally distributed optical fiber. A fiber grating characterization method is established for the stress evolution law of overlying rock while passing the remaining coal pillar. The experimental results indicated that the fracture angle of overlying rock gradually decreases during the mining stage through and after the coal pillar. In the mining stage through the coal pillar, the cycle pressure step distance of the working face is reduced by 33.3% compared to the stage after mining through the coal pillar. Initially, the strain pattern of the horizontal optical fiber is unimodal when pressure is first applied to the working face, and it transitions from unimodal to bimodal during periodic pressure. The peak value of fiber Bragg grating compressive strain and the range of influence of advanced support pressure are 3.6 times and 4.8 times, respectively, before passing through the remaining coal pillar. Finally, the accuracy of the FBG characterization method is verified by comparing it to the monitoring curve of the coal seam floor pressure sensor. The research results contribute to applying fiber optic sensing technology in mining physical model experiments. Full article
(This article belongs to the Special Issue Optical Sensors for Industrial Applications)
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<p>Monitoring principle of BOTDA.</p>
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<p>Physical model lithology distribution and sensor layout.</p>
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<p>The collapse form of overlying rock after 1<sup>−2</sup> coal seam mining.</p>
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<p>Characteristics of overlying rock collapse as the working face advances.</p>
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<p>DFOS strain curve before mining through coal pillar. (<b>a</b>) Advance from 500 to 1000 mm; (<b>b</b>) Overlying rock collapse characteristics when advancing 850 mm.</p>
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<p>DFOS strain curve before mining through coal pillar. (<b>a</b>) Advance from 110 to 1250 mm; (<b>b</b>) Overlying rock collapse characteristics when advancing 1250 mm.</p>
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<p>DFOS strain curve after mining through coal pillar. (<b>a</b>) Advance from 1350 to 2300 mm; (<b>b</b>) Overlying rock collapse characteristics when advancing 1450 mm.</p>
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<p>FBG strain changes during the process of advancing the working face.</p>
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<p>FBG test results and their corresponding relationship with the position of the remaining coal pillar.</p>
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<p>Comparison of monitoring curves between FBG and CFP as the working face advances.</p>
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17 pages, 1670 KiB  
Article
Evaluation of Blended Poly(3-hydroxybutyrate-co-3-hydroxyhexanoate) Properties Containing Various 3HHx Monomers
by Nara Shin, Su Hyun Kim, Jinok Oh, Suwon Kim, Yeda Lee, Yuni Shin, Suhye Choi, Shashi Kant Bhatia, Jong-Min Jeon, Jeong-Jun Yoon, Jeong Chan Joo and Yung-Hun Yang
Polymers 2024, 16(21), 3077; https://doi.org/10.3390/polym16213077 - 31 Oct 2024
Viewed by 261
Abstract
Polyhydroxyalkanoate (PHA), specifically poly(3-hydroxybutyrate-co-3-hydroxyhexanoate) (P(3HB-co-3HHx), PHBHHx) with physical properties governed by the 3-hydroxyhexanoate (3HHx) mole fraction, is a promising bioplastic. Although engineered strains used to produce P(3HB-co-3HHx) with various 3HHx mole contents and fermentation techniques have been [...] Read more.
Polyhydroxyalkanoate (PHA), specifically poly(3-hydroxybutyrate-co-3-hydroxyhexanoate) (P(3HB-co-3HHx), PHBHHx) with physical properties governed by the 3-hydroxyhexanoate (3HHx) mole fraction, is a promising bioplastic. Although engineered strains used to produce P(3HB-co-3HHx) with various 3HHx mole contents and fermentation techniques have been studied, mass production with specific 3HHx fractions and monomers depends on the batch, supply of substrates, and strains, resulting in the time-consuming development of strains and complex culture conditions for P(3HB-co-3HHx). To overcome these limitations, we blended poly(3-hydroxybutyrate) [(P(3HB), produced from C. necator H16] and P(3HB-co-20 mol%3HHx) [from C. necator 2668/pCB81] to prepare films with various 3HHx contents. We evaluated the molecular weight and physical, thermal, and mechanical properties of these films and confirmed the influence of the 3HHx monomer content on the mechanical and thermal properties as well as degradability of the blended P(3HB-co-3HHx) films containing various 3HHx mole fractions, similar to that of original microbial-based P(3HB-co-3HHx). Moreover, the degradation rate analyzed via Microbulbifer sp. was >76% at all blending ratios within 2 days, whereas a weaker effect of the 3HHx mole fraction of the blended polymer on degradation was observed. P(3HB-co-3HHx) could be produced via simple blending using abundantly produced P(3HB) and P(3HB-co-20mol%HHx), and the resulting copolymer is applicable as a biodegradable plastic. Full article
15 pages, 1210 KiB  
Article
Cultivable Rhizosphere Microbial Community Structure in the Yaqui Valley’s Agroecosystems
by Valeria Valenzuela Ruiz, Edgar Cubedo-Ruiz, Maria Maldonado Vega, Jaime Garatuza Payan, Enrico Yépez González, Fannie Isela Parra Cota and Sergio de los Santos Villalobos
Soil Syst. 2024, 8(4), 112; https://doi.org/10.3390/soilsystems8040112 - 31 Oct 2024
Viewed by 390
Abstract
Agricultural practices affect the physical, chemical, and biological properties of soil in agroecosystems. This study evaluated the impact of food production strategies on the rhizosphere microbial communities in the Yaqui Valley, Mexico, on key crops (Medicago sativa, Brassica oleracea, Asparagus [...] Read more.
Agricultural practices affect the physical, chemical, and biological properties of soil in agroecosystems. This study evaluated the impact of food production strategies on the rhizosphere microbial communities in the Yaqui Valley, Mexico, on key crops (Medicago sativa, Brassica oleracea, Asparagus officinalis, Phaseolus vulgaris, Citrus sinensis, Zea mays, Solanum tuberosum, Triticum durum, and an undisturbed native ecosystem). Soil samples were collected from 30 cm depths across one-hectare fields and analyzed for bulk density, pH, organic matter content, and electrical conductivity. Standardized methods were used for these analyses, along with microbial isolation through culturing, PCR amplification, and DNA sequencing for microbial identification. The use of synthetic fertilizers in the region was linked to increased salinity and soil compaction. Organic matter content was notably low at ≤1.4%, which negatively impacted microbial diversity. A total of 317 microbial strains were isolated, with bacteria comprising 73% and fungi 27%. Bacillus was the most dominant bacterial genus (41% of isolates), while Aspergillus was the most abundant fungal genus (31% of isolates). Crop-specific microbial strains were identified. This study provides the first detailed insight into how agricultural practices shape microbial communities in the Yaqui Valley’s major crops, highlighting the link between soil properties and microbial diversity. Full article
(This article belongs to the Special Issue Research on Soil Management and Conservation: 2nd Edition)
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<p>Heatmap of cultivable bacterial diversity from eight crops in comparison to the undisturbed native ecosystem in the Yaqui Valley, northwestern Mexico. Joint and hierarchical clustering of 232 bacterial strains associated with important economic crops were calculated by using Euclidean distance and an unweighted pair group method with an arithmetic average (UPGMA) linkage clustering procedure. The dendrogram on the left represents the bacterial genetic relation, while the dendrogram on the top represents the bacterial genera/species relation between the study sites.</p>
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<p>Cultivable fungal diversity from eight crops in comparison to an undisturbed native ecosystem in the Yaqui Valley, Sonora, Mexico. Joint and hierarchical clustering of 85 fungi strains associated with important economics were calculated by using Euclidean distance and an unweighted pair group method with an arithmetic average (UPGMA) linkage clustering procedure. The dendrogram on the left represents the fungi genetic relation, while the dendrogram on the top represents the fungi genera/species relation between the study sites.</p>
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15 pages, 2760 KiB  
Article
Isolation, Antibacterial Activity and Molecular Identification of Avocado Rhizosphere Actinobacteria as Potential Biocontrol Agents of Xanthomonas sp.
by Jesús Rafael Trinidad-Cruz, Gabriel Rincón-Enríquez, Zahaed Evangelista-Martínez, Luis López-Pérez and Evangelina Esmeralda Quiñones-Aguilar
Microorganisms 2024, 12(11), 2199; https://doi.org/10.3390/microorganisms12112199 - 31 Oct 2024
Viewed by 436
Abstract
Actinobacteria, especially the genus Streptomyces, have been shown to be potential biocontrol agents for phytopathogenic bacteria. Bacteria spot disease caused by Xanthomonas spp. may severely affect chili pepper (Capsicum annuum) crops with a subsequent decrease in productivity. Therefore, the objective of [...] Read more.
Actinobacteria, especially the genus Streptomyces, have been shown to be potential biocontrol agents for phytopathogenic bacteria. Bacteria spot disease caused by Xanthomonas spp. may severely affect chili pepper (Capsicum annuum) crops with a subsequent decrease in productivity. Therefore, the objective of the study was to isolate rhizospheric actinobacteria from soil samples treated by physical methods and evaluate the inhibitory activity of the isolates over Xanthomonas. Initially, soil samples collected from avocado tree orchards were treated by dry heat air and microwave irradiation; thereafter, isolation was implemented. Then, antibacterial activity (AA) of isolates was evaluated by the double-layer agar method. Furthermore, the positive/negative effect on AA for selected isolates was evaluated on three culture media (potato-dextrose agar, PDA; yeast malt extract agar, YME; and oat agar, OA). Isolates were identified by 16S rRNA sequence analysis. A total of 198 isolates were obtained; 76 (series BVEZ) correspond to samples treated by dry heat and 122 strains (series BVEZMW) were isolated from samples irradiated with microwaves. A total of 19 dry heat and 25 microwave-irradiated isolates showed AA with inhibition zones (IZ, diameter in mm) ranging from 12.7 to 82.3 mm and from 11.4 to 55.4 mm, respectively. An increment for the AA was registered for isolates cultured on PDA and YME, with an IZ from 21.1 to 80.2 mm and 14.1 to 69.6 mm, respectively. A lower AA was detected when isolates were cultured on OA media (15.0 to 38.1 mm). Based on the 16S rRNA gene sequencing analysis, the actinobacteria belong to the Streptomyces (6) and Amycolatopsis (2) genera. Therefore, the study showed that microwave irradiation is a suitable method to increase the isolation of soil bacteria with AA against Xanthomonas sp. In addition, Streptomyces sp. BVEZ 50 was the isolate with the highest IZ (80.2 mm). Full article
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<p>Concentration of cultured actinobacteria in the soil sample of the avocado rhizosphere pretreated with dry heat (70 °C for 1 h) and microwave irradiation (1100 W for 3 min) in the ISP2 and ISP3 agar culture media. The data are the mean ± standard deviation. Asterisks (*) indicate significant differences between culture media or pretreatments according to Student’s <span class="html-italic">t</span>-test (<span class="html-italic">p</span> ≤ 0.05). NS: not significant.</p>
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<p>Image of initial screening of in vitro antibacterial activity of actinobacteria performed by the punctual inoculation and double-layer agar: (<b>a</b>) BVEZ isolates; (<b>b</b>) BVEZMW isolates.</p>
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<p>Effect of culture medium (PDA, ISP2 and ISP3) on the antibacterial activity of selected actinobacteria of the BVEZ and BVEZMW series against <span class="html-italic">Xanthomonas</span> sp. BV801. The diameter data of the inhibition zone represent the average of four biological repetitions. -: not detected. Different letters on each bar for each culture medium indicate significant differences among the media according to Tukey’s test (<span class="html-italic">p</span> ≤ 0.05).</p>
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<p>Representative image of the effect of culture medium (PDA, ISP2 and ISP3) on the antibacterial activity of eight selected actinobacteria from the BVEZ and BVEZMW series against <span class="html-italic">Xanthomonas</span> sp. BV801 by the double-layer method of agar.</p>
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<p>Phylogenetic neighbor-joining tree based on the 16S rRNA gene sequence showing the phylogenetic relationships among the BVEZ (32, 50, 71, and 73), BVEZMW (12, 30, 60, and 81) actinobacteria and type strains of the genera <span class="html-italic">Streptomyces</span> and <span class="html-italic">Amycolatopsis</span>. The bootstrap values (&gt;50%) are shown next to the branches. The sequence of <span class="html-italic">Rubrobacter radiotolerans</span> DSM 5868<sup>T</sup> was used as an external group. The access numbers to the GenBank sequences are shown in parentheses. Bar = 0.02 substitutions by nucleotide position.</p>
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28 pages, 7582 KiB  
Article
Experimental and Numerical Investigations of Low-Permeability Sandstone Under Water Injection–Induced Dilation in West Oilfield, South China Sea
by Shaowei Wu, Hui Yuan, Huan Chen, Xiao Chen, Yanfeng Cao, Wentao Lao, Yanfang Gao and Dengke Li
Processes 2024, 12(11), 2393; https://doi.org/10.3390/pr12112393 - 30 Oct 2024
Viewed by 296
Abstract
With the development of offshore oil fields, the reservoirs of X oilfield in the west of the South China Sea are poor in physical property, serious in pollution, and increasingly prominent in interlayer contradictions. Water injection dilation technology has strongly affected the development [...] Read more.
With the development of offshore oil fields, the reservoirs of X oilfield in the west of the South China Sea are poor in physical property, serious in pollution, and increasingly prominent in interlayer contradictions. Water injection dilation technology has strongly affected the development of loose sandstone reservoirs. To explore whether this technology applies to the low-permeability sandstone of X oilfield in the west of the South China Sea and the dilation effect and radius of water injection dilation technology on the target reservoir, low confining pressure rock mechanics experiments and numerical simulation of water injection in this reservoir section are carried out. The triaxial shear experiment of low confining pressure shows that the target reservoir sandstone with low-permeability can have a shear strength of 45 MPa when the effective confining pressure is 0.5 MPa, and the target reservoir core can have dilatancy. When the axial strain is 2.5%, the core dilatancy is 1%, and the permeability changes by 1.17 times. It was found that the core volume dilation was obviously under low effective confining pressure, and the permeability is 2 orders higher than in the initial condition. The numerical simulation of the target reservoir shows that the bottom-hole pressure reaches 47.12 MPa at the end of water injection in typical wells. The reservoir was deformed to different degrees around the well, and the top layer was raised by 5.58 mm. This paper characterizes the rock expansion potential and expansion flow capacity of low-permeability sandstone reservoirs from multiple perspectives and establishes a three-dimensional, full-size wellbore formation crustal stress strict matching geological model for offshore expansion wells. We have provided theoretical guidance for on-site construction. Full article
(This article belongs to the Section Energy Systems)
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<p>Research workflow diagram.</p>
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<p>RTX-3000.</p>
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<p>25 mm × 50 mm core.</p>
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<p>Core stress diagram.</p>
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<p>Specimen loading.</p>
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<p>Data acquisition.</p>
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<p>Tension dilation pressure loading curve.</p>
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<p>Appearance of the sample after the test under effective confining pressure of 0.2 MPa.</p>
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<p>Stress–axial strain curves of rock shear dilation (<b>top</b>) and bulk strain–axial stress curves (<b>bottom</b>) under an effective confining pressure of 0.2 MPa.</p>
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<p>Appearance of the sample after the test under an effective confining pressure of 5 MPa.</p>
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<p>Stress–axial strain curves of rock shear dilation (<b>top</b>) and bulk strain–axial stress curves (<b>bottom</b>) under an effective confining pressure of 5 MPa.</p>
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<p>The CT scan of the rock core after effective confining pressure (0.2 MPa).</p>
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<p>The CT scan of the rock core after high effective confining pressure (5 MPa).</p>
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<p>Effective confining–volume strain curve of 20 °C tensioned dilatation.</p>
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<p>The C.T. scan of Effective confining–volume strain curve of 20 °C tensioned dilatation.</p>
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<p>0.2 MPa effective confining pressure underbody strain–permeability (measured vs. theory).</p>
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<p>5 MPa effective confining pressure underbody strain–permeability (measured vs. theory).</p>
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<p>Evolution of permeability under stress.</p>
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<p>Bottom-hole pressure history fitting.</p>
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<p>Schematic diagram of the modeling process.</p>
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<p>Pore pressure distribution (<b>left</b>) and deformation distribution (<b>right</b>) in typical wells.</p>
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<p>Expansion radius in typical wells.</p>
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13 pages, 3188 KiB  
Article
Silver-Treated Silk Fibroin Scaffolds for Prevention of Critical Wound Infections
by Federica Paladini, Francesca Russo, Annalia Masi, Carmen Lanzillotti, Alessandro Sannino and Mauro Pollini
Biomimetics 2024, 9(11), 659; https://doi.org/10.3390/biomimetics9110659 - 29 Oct 2024
Viewed by 464
Abstract
The risk of infections in chronic wounds represents a serious issue, particularly in aged people and in patients affected by diseases such as diabetes and obesity. Moreover, the growing resistance demonstrated by many bacterial strains has significantly reduced the therapeutic options for clinicians [...] Read more.
The risk of infections in chronic wounds represents a serious issue, particularly in aged people and in patients affected by diseases such as diabetes and obesity. Moreover, the growing resistance demonstrated by many bacterial strains has significantly reduced the therapeutic options for clinicians and has become a great challenge for the researchers in the definition of novel approaches that promote the wound healing process and reduce the healing time. Tissue engineering approaches based on biomaterials and three-dimensional scaffolds have demonstrated huge potential in supporting cell proliferation; among them, Bombyx mori-derived silk fibroin is a very appealing possibility for the development of devices with regenerative properties for wound healing applications. However, due to the high risk of infections in chronic wounds, an antibacterial treatment is also strongly encouraged for preventing bacterial proliferation at the wound site. In this work, to develop a device with regenerative and antibacterial properties, antibacterial silver coatings were deposited onto silk fibroin scaffolds, and the effect of the treatment in terms of chemical–physical and microbiological properties was investigated. The results demonstrated that the silver treatment improved the mechanical properties of the protein scaffold and provided good antibacterial efficacy against representative bacterial strains in wound infection, namely Escherichia coli and antibiotic-resistant Pseudomonas aeruginosa. Full article
(This article belongs to the Special Issue Bioinspired Materials for Tissue Engineering)
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<p>Schematic representation of the silver treatment process performed on fibroin scaffold.</p>
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<p>Untreated (<b>A</b>) and silver-treated (<b>B</b>) fibroin scaffolds.</p>
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<p>Picture of the silver-treated sample (<b>A</b>); SEM image of the silver-treated sample showing the presence of a skin layer and a slightly different porosity between the skin and the core (<b>B</b>); similar inner porosity between untreated (<b>C</b>) and silver-treated samples (<b>D</b>).</p>
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<p>Tensile tests performed on untreated (UT) and silver-treated (T) scaffolds. Image of the sample during the test (<b>A</b>); graph reporting the results of the tensile test as elongation at break (<b>B</b>) and σ at break (<b>C</b>) (<span class="html-italic">t</span>-test, <span class="html-italic">n</span> = 3, * = <span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Tensile tests performed using sutures: preparation of samples with suture thread (<b>A</b>); sample inserted into the machine grippers (<b>B</b>); graph reporting breaking strength (<b>C</b>) (<span class="html-italic">t</span>-test, <span class="html-italic">n</span> = 3, <span class="html-italic">p</span> &gt; 0.05).</p>
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<p>Swelling test: image of the droplet immediately absorbed by the sample (<b>A</b>); picture of the samples after the swelling test (<b>B</b>); percentage of swelling degree (<b>C</b>) calculated for the untreated (UT) and silver-treated (T) samples (<span class="html-italic">t</span>-test, <span class="html-italic">n</span> = 3, <span class="html-italic">p</span> &gt; 0.05).</p>
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<p>Agar diffusion tests performed on silver-treated fibroin scaffolds (T) and control samples (UT) with <span class="html-italic">E. coli</span> (<b>A</b>–<b>D</b>) and antibiotic-resistant <span class="html-italic">P. aeruginosa</span> (<b>E</b>–<b>H</b>) at different degradation time points, namely <span class="html-italic">t</span> = 0 (<b>A</b>,<b>E</b>), <span class="html-italic">t</span> = 1 day (<b>B</b>,<b>F</b>), <span class="html-italic">t</span> = 3 days (<b>C</b>,<b>G</b>), and 7 days (<b>D</b>,<b>H</b>).</p>
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<p>Residual percentage of protein content obtained through BCA at different time points (* = <span class="html-italic">p</span> &lt; 0.05 at 7 days).</p>
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60 pages, 16927 KiB  
Review
1D/2D Heterostructures: Synthesis and Application in Photodetectors and Sensors
by Yuqian Liu, Yihao Lin, Yanbo Hu, Wenzhao Wang, Yiming Chen, Zihui Liu, Da Wan and Wugang Liao
Nanomaterials 2024, 14(21), 1724; https://doi.org/10.3390/nano14211724 - 29 Oct 2024
Viewed by 479
Abstract
Two-dimensional (2D) semiconductor components have excellent physical attributes, such as excellent mechanical ductility, high mobility, low dielectric constant, and tunable bandgap, which have attracted much attention to the fields of flexible devices, optoelectronic conversion, and microelectronic devices. Additionally, one-dimensional (1D) semiconductor materials with [...] Read more.
Two-dimensional (2D) semiconductor components have excellent physical attributes, such as excellent mechanical ductility, high mobility, low dielectric constant, and tunable bandgap, which have attracted much attention to the fields of flexible devices, optoelectronic conversion, and microelectronic devices. Additionally, one-dimensional (1D) semiconductor materials with unique physical attributes, such as high surface area and mechanical potency, show great potential in many applications. However, isolated 1D and 2D materials often do not meet the demand for multifunctionality. Therefore, more functionality is achieved by reconstructing new composite structures from 1D and 2D materials, and according to the current study, it has been demonstrated that hybrid dimensional integration yields a significant enhancement in performance and functionality, which is widely promising in the field of constructing novel electronic and optoelectronic nanodevices. In this review, we first briefly introduce the preparation methods of 1D materials, 2D materials, and 1D/2D heterostructures, as well as their advantages and limitations. The applications of 1D/2D heterostructures in photodetectors, gas sensors, pressure and strain sensors, as well as photoelectrical synapses and biosensors are then discussed, along with the opportunities and challenges of their current applications. Finally, the outlook of the emerging field of 1D/2D heterojunction structures is given. Full article
(This article belongs to the Special Issue 2D Materials for Advanced Sensors: Fabrication and Applications)
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<p>1D/2D heterostructures: synthesis and application in photodetectors and sensors. Reproduced with permission from the authors of [<a href="#B5-nanomaterials-14-01724" class="html-bibr">5</a>,<a href="#B6-nanomaterials-14-01724" class="html-bibr">6</a>,<a href="#B7-nanomaterials-14-01724" class="html-bibr">7</a>,<a href="#B8-nanomaterials-14-01724" class="html-bibr">8</a>,<a href="#B9-nanomaterials-14-01724" class="html-bibr">9</a>,<a href="#B10-nanomaterials-14-01724" class="html-bibr">10</a>,<a href="#B11-nanomaterials-14-01724" class="html-bibr">11</a>,<a href="#B12-nanomaterials-14-01724" class="html-bibr">12</a>].</p>
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<p>(<b>a</b>) Schematic representation of the setup for the growth of MoS<sub>2</sub> nanobelts. The S powder is positioned upstream of the MoO<sub>3</sub>-loaded quartz boat, which is positioned in the center of the quartz tube. Reproduced with permission from the authors of [<a href="#B39-nanomaterials-14-01724" class="html-bibr">39</a>]. (<b>b</b>) Complete synthesis process of the graphene oxide (RGO)/carbon nanocoil (CNC)/carbon nanofiber (CNF)/metal oxide nanoparticles (M-NPs) hierarchical aerogel. Reproduced with permission from the authors of [<a href="#B41-nanomaterials-14-01724" class="html-bibr">41</a>]. (<b>c</b>) Schematic diagram of the growth of Au-sensitized ZnO NWs on silicon wafers. Reproduced from [<a href="#B44-nanomaterials-14-01724" class="html-bibr">44</a>] with permission from the authors.</p>
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<p>(<b>a</b>) Configuration of the experiment for the CVD development of mica-substrate-based TiS<sub>2</sub> nanosheets. Reproduced from [<a href="#B18-nanomaterials-14-01724" class="html-bibr">18</a>] with permission from the authors. (<b>b</b>) Diagram showing the experimental configuration used to create CrTe nanoflakes. Reproduced with permission from the authors of [<a href="#B50-nanomaterials-14-01724" class="html-bibr">50</a>]. (<b>c</b>) Illustrative diagram of dual-zone furnace chemical vapor deposition device. The direction of gas flow is switched by turning on/off gas valves 1 and 4 or 2 and 3. Reproduced with permission from the authors of [<a href="#B52-nanomaterials-14-01724" class="html-bibr">52</a>].</p>
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<p>(<b>a</b>) Illustrative diagram of the heterogeneous structure synthesis process, in which a mixture of MoO<sub>3</sub> and Bi<sub>2</sub>O<sub>3</sub> operated as a solid source and heatedly interacted with S vapor. (<b>b</b>) Comparison of optical images of typical heterostructures before and after probe scratching, where a portion of the nanowires were scraped off by the probe, exposing the nucleation region below. (<b>c</b>) The AFM height image is in the enlarged red frame region (<b>b</b>). The green dotted ring marks the nucleation region, and the blue dotted box indicates the region covered by the Bi<sub>2</sub>S<sub>3</sub> nanowires. The small figure at the bottom right also shows the height distribution along the black line, indicating no connection between the nanowires and the MoS<sub>2</sub> monolayer other than the nucleation site. (<b>d</b>) The AFM phase image is in the same region in (<b>c</b>). The area selected by the green dashed circle clearly shows the lower SiO<sub>2</sub> substrate after the Bi<sub>2</sub>S<sub>3</sub> nanowires have been scraped off by part of the adjacent MoS<sub>2</sub> nanosheet after being connected at the nucleation site. Reproduced with permission from the authors of [<a href="#B5-nanomaterials-14-01724" class="html-bibr">5</a>].</p>
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<p>(<b>a</b>–<b>d</b>) SEM images of ZnS nanostructures grown at different temperatures: (<b>a</b>) 500 °C (<b>b</b>) 460 °C (<b>c</b>) 800 °C (<b>d</b>) 850 °C. Reproduced with permission from the authors of [<a href="#B19-nanomaterials-14-01724" class="html-bibr">19</a>]. (<b>e</b>) Schematic diagram of the setup used for the growth of ZnO nanoneedles by thermal evaporation method. (<b>f<sub>1</sub></b>,<b>f<sub>2</sub></b>) Low and high magnification of FESEM images of the ZnO nanoneedles grown under 20 mL/min Ar flow rates. Reproduced with permission from the authors of [<a href="#B15-nanomaterials-14-01724" class="html-bibr">15</a>].</p>
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<p>(<b>a</b>) A diagram illustrating the crystal structures of α- and β-MoO<sub>3</sub>. Atoms are denoted by red spheres for Mo and blue spheres for O. (<b>b</b>) Diagram illustrating the experimental setup for producing MoO<sub>3−x</sub> homogeneous quasi-2D layers through thermal evaporation of MoO<sub>3</sub> powder. The flow of Ar is indicated by blue arrows. Reproduced with permission from the authors of [<a href="#B61-nanomaterials-14-01724" class="html-bibr">61</a>]. Diagrammatical representation of the growth kinetics and mechanisms of numerous PbI<sub>2</sub> nanostructures obtained using different substrates and process conditions. (<b>c</b>) The growth behavior of 2D nanosheets on a smooth Si substrate is placed in a flat position. The illustration shows the atomic model of PbI<sub>2</sub>, demonstrating its layered structure and repeated I-Pb-I unit cells stacked along the c-axis. (<b>d</b>) At a relatively low process pressure, the figure shows the formation of high-density and tightly packed self-supporting nanosheets on the substrate with a rough surface. (<b>e</b>) As shown in the figure, the process pressure starts to increase, and the less dense, independent nanosheets form on the rough surface substrate. (<b>f</b>) The nanowires are grown on a rough-surface substrate with the highest process pressure. Reproduced with permission from the authors of [<a href="#B22-nanomaterials-14-01724" class="html-bibr">22</a>]. (<b>g</b>) Schematic for PVD expansion of 2D SnS flakes. Reproduced with permission from the authors of [<a href="#B23-nanomaterials-14-01724" class="html-bibr">23</a>].</p>
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<p>(<b>a</b>) Schematic illustration for Te NWs synthesis setup. (<b>b</b>) The band structure of the Te–MoS<sub>2</sub> heterostructure as shown in the figure. (<b>c</b>) Charge difference isosurfaces of Te–MoS<sub>2</sub> heterostructures. (<b>d</b>) AFM image of Te–MoS<sub>2</sub> heterostructure. (<b>e</b>) KPFM image of Te–MoS<sub>2</sub> heterostructure. (<b>f</b>) SP histogram of Te and MoS<sub>2</sub>. Reproduced with permission from the authors of [<a href="#B6-nanomaterials-14-01724" class="html-bibr">6</a>].</p>
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<p>(<b>a</b>) Schematics of the fabrication process of the WS<sub>2</sub>/Te device and the local atomic struc-ture. (<b>b</b>) The device’s photoresponse spectrum spans 400–1000 nm. (<b>c</b>) The device’s I–V curves at varying light intensities. In the presence of a bias voltage of 1 V, the incident light power. The device’s I–V curves at varying light intensities. The incident light power depends on the bias voltage, which is 1 V. (<b>d</b>) Photocurrent. (<b>e</b>) Responsivity and detectivity. (<b>f</b>) Temporal photoresponse under the bias of 1 V. (<b>g</b>) Photoswitching characteristics of the WS<sub>2</sub>/Te photodetector in 110 cycles. Reproduced with permission from the authors of [<a href="#B67-nanomaterials-14-01724" class="html-bibr">67</a>].</p>
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<p>The MoS<sub>2</sub>/WO<sub>3</sub> composite’s synthesis is depicted schematically. Reproduced with permission from the authors of [<a href="#B70-nanomaterials-14-01724" class="html-bibr">70</a>].</p>
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<p>(<b>a</b>) UV-Vis absorption spectra of RhB solution at various Sb<sub>2</sub>S<sub>3</sub>@MoS<sub>2</sub> nanorod reaction times. (<b>b</b>) The photocatalytic activities of different products in the same condition. (<b>c</b>) The cyclic performance of Sb<sub>2</sub>S<sub>3</sub>@MoS<sub>2</sub> nanorods under simulated sunlight. Reproduced with permission from the authors of [<a href="#B71-nanomaterials-14-01724" class="html-bibr">71</a>]. (<b>d</b>) The cross-sectional SEM images represent vertically arranged 1D MoS<sub>2</sub>-TiO<sub>2</sub> NBs. (<b>e</b>) The UV-Vis absorption spectrum can clearly show the effect of absorption enhancement attributes on the deposition of MoS<sub>2</sub> nanosheets. (<b>f</b>,<b>g</b>) Finite element method (FEM) simulation effects of the near-field electric field allocation of the 2H MoS<sub>2</sub>-TiO<sub>2</sub> NB heterostructures excited by different wavelengths in two configurations, and (<b>h</b>) PEC photocurrent under 1.5 AM in 0.5 M Na<sub>2</sub>SO<sub>4</sub> electrolyte. Reproduced with permission from the authors of [<a href="#B27-nanomaterials-14-01724" class="html-bibr">27</a>]. (<b>i</b>) Diagram showing charge transfer and separation for CO<sub>2</sub> reduction under UV-visible light irradiation at the TiO<sub>2</sub>/MoS<sub>2</sub> heterojunction. (<b>j</b>) The transmission of charge between rutile homojunction and anatase. Reproduced with permission from the authors of [<a href="#B72-nanomaterials-14-01724" class="html-bibr">72</a>].</p>
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<p>Illustrative diagram and morphological characterizations of the Sb<sub>2</sub>Se<sub>3</sub>/WS<sub>2</sub> p-n heterostructure. (<b>a</b>) Schematic representation of the growth heterostructure. The W atom is represented by a red ball, the S atom by a yellow ball, the Sb atom by a blue ball, and the Se atom by a green ball. (<b>b</b>) The optical image shows the Sb<sub>2</sub>Se<sub>3</sub>/WS<sub>2</sub> p-n heterostructure. (<b>c</b>) The SEM image shows the Sb<sub>2</sub>Se<sub>3</sub>/WS<sub>2</sub> p-n heterostructure. (<b>d</b>) AFM image of the corresponding region marked by the red rectangle in (<b>b</b>). Reproduced with permission from the authors of [<a href="#B7-nanomaterials-14-01724" class="html-bibr">7</a>].</p>
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<p>(<b>a</b>) Illustrative diagram of MoS<sub>2</sub>/CuO nanosheet-on-1D heterojunction photodiode. (<b>b</b>) The photocurrent curves of MoS<sub>2</sub>/CuO nanosheet one-dimensional heterojunction photodiodes under the illumination wavelengths of 560 nm, 600 nm, 700 nm, and 760 nm, respectively, under the incident optical power of 1 mW and under the dark condition. Reproduced with permission from the authors of [<a href="#B8-nanomaterials-14-01724" class="html-bibr">8</a>]. (<b>c</b>,<b>d</b>) Enlarged portions of the transient photoresponse of p-MoS<sub>2</sub>/n-ZnO heterostructure PD under 365 nm and 532 nm light irradiations at a bias of +5 V, respectively. Reproduced with authorization from the authors of [<a href="#B100-nanomaterials-14-01724" class="html-bibr">100</a>]. (<b>e</b>) Transfer characteristic curves of Device C (V<sub>DS</sub> = 10 V) exposed to various wavelengths. (<b>f</b>) Transfer characteristic curves of Device A without laser annealing with the incident light (V<sub>DS</sub> = 10 V, k = 280 nm, 440 nm), Device B with laser annealing at 150 mJ/cm<sup>2</sup>, and Device C with laser annealing at 150 mJ/cm<sup>2</sup>. Reproduced with permission from the authors of [<a href="#B81-nanomaterials-14-01724" class="html-bibr">81</a>]. (<b>g</b>) MoS<sub>2</sub>/V<sub>2</sub>O<sub>5</sub> responses v/s varying UV, visible, and NIR intensities: exhibits the highest responses. Reproduced with permission from the authors [<a href="#B79-nanomaterials-14-01724" class="html-bibr">79</a>]. (<b>h</b>) The average resistance versus temperature plot shows the negative temperature coefficient of the resistance (N = 3). Reproduced with permission from the authors of [<a href="#B101-nanomaterials-14-01724" class="html-bibr">101</a>].</p>
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<p>Photocurrent responses of a single GaTe nanowire PD (blue) and nanosheet PD (red) under illumination at different excitation intensities at the wavelengths of (<b>a</b>) 325 nm, (<b>b</b>) 405 nm, (<b>c</b>) 532 nm, (<b>d</b>) 633 nm, and (<b>e</b>) 808 nm (to explain the reference to color in this graphic legend, see the web version of this article). Reproduced with permission from the authors of [<a href="#B107-nanomaterials-14-01724" class="html-bibr">107</a>].</p>
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<p>Self-supplied electro-optic response characteristics of heterostructure devices under 635 nm illumination. (<b>a</b>) The Voc and Isc of the equipment are related to the illumination power intensity. (<b>b</b>) At the 0 V bias, the photocurrent and R<sub>λ</sub> change with the incident intensity. (<b>c</b>) EQE and D* as a function of the optical power intensity. (<b>d</b>) Rise and decay time of the device under 24.27 mW cm<sup>−2</sup>. (<b>e</b>) Photo response of a photodetector with 300 cycles. Reproduced with permission from the authors of [<a href="#B93-nanomaterials-14-01724" class="html-bibr">93</a>].</p>
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<p>(<b>a</b>) Electron band structure of ReS<sub>2</sub>. (<b>b</b>) Electron band structure of Te. (<b>c</b>) Band alignment of the Te/ReS<sub>2</sub> heterojunction. (<b>d</b>) Energy band diagram and carrier transport of the Te and ReS<sub>2</sub> before contact, after contact, and under light irradiation. The Fermi energy is set as zero energy. Reproduced with permission from the authors of [<a href="#B31-nanomaterials-14-01724" class="html-bibr">31</a>].</p>
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<p>The performance of the Se/InSe photodetector. (<b>a</b>) The responsivity of this photodetector at zero bias voltage. (<b>b</b>) EQE at zero bias voltage. (<b>c</b>) The detectivity at −1 V. Reproduced with permission from the authors of [<a href="#B112-nanomaterials-14-01724" class="html-bibr">112</a>].</p>
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<p>Schematic of a 1D FET for gas sensing and signal processing integrated side by side on the same chip. The change in environmental chemistry from (<b>a</b>) to (<b>b</b>) does not influence the signal processing FET, which is topped with a passivating layer that prevents the 1D material from interacting with the environment, so the current flowing through the FET, the I<sub>DS</sub>, depends only on the bias conditions (compare the blue traces in (<b>a</b>,<b>b</b>)). In contrast, in a gas-sensing FET, the 1D material is in touch with the environment directly, so that the I<sub>DS</sub> will change when the chemical composition of the environment changes (for example, the presence of NO<sub>2</sub> molecules) under a given two-base condition (compare the red traces in (<b>a</b>,<b>b</b>)). The same principle is suitable for 2D FETs. One-dimensional and two-dimensional FET gas sensor architecture and electrical behavior. (<b>c</b>) The figure shows the typical architecture and bias mode of a one dimensional FET gas sensor based on a single NW. (<b>d</b>) Transfer characteristics of P-type, N-type, and bipolar FETs. (<b>e</b>) Transfer-characteristics of depleted and enhanced N-type FETs. (<b>f</b>) Architecture description of 1D and 2D FET gas sensors: 1. 1D-FET based on aligned NW networks; 2. 1D-FET based on NW random network; 3. 2D-FE based on a single sheet. The inset shows a 2D-FET based on a single-layer sheet, characterized by Hall rod geometry; 4. 2D-FET based on a slice irregular network. (<b>g</b>) Output characteristics of an n-type FET. (<b>h</b>) The black solid line represents the linear transfer characteristic, and the blue solid line represents the logarithmic transfer characteristic of the N-type FET. (<b>i</b>) The output characteristics are close to V<sub>DS</sub> = 0, highlighting the electrical behavior of FETs with Ohmic and Schottky contacts. Reproduced with permission from the authors of [<a href="#B143-nanomaterials-14-01724" class="html-bibr">143</a>].</p>
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<p>(<b>a</b>) Response of the WS<sub>2</sub> NF (orange), WS<sub>2</sub> NT (black) sensor to 800 ppb NO<sub>2</sub> (four repeated response and recovery cycles) at an operating temperature of 150 °C. (<b>b</b>) Response and recovery of the WS<sub>2</sub> NF (orange), WS<sub>2</sub> NT (black) sensor to a pulse with increasing NO<sub>2</sub> gas concentration (from 50 to 300 ppb). The sensor was operated at 150 °C. Repeated response and recovery cycles of WS<sub>2</sub> NT nanomaterials to different NO<sub>2</sub> concentrations. The operating temperature is set to 150 °C unless otherwise specified. (<b>c</b>) 5 ppb; (<b>d</b>) 10 ppb; (<b>e</b>) five repeated measurements of consecutive 10 and 20 ppb pulses; (<b>f</b>) four repeated measurements were made for concentration pulses in the range of 50 to 800 ppb; (<b>g</b>) four repeated measurements of 800 ppb pulses were performed while operating at room temperature; (<b>h</b>) three repeated measurements of 800 ppb were performed on a dry and 50%RH background. Reproduced with permission from the authors of [<a href="#B144-nanomaterials-14-01724" class="html-bibr">144</a>]. (<b>i</b>) The room temperature dynamic sensing response of the gas sensors to NO<sub>2</sub> under red light stimulation. (<b>j</b>) Sensitivity of Se/GeSexOy heterostructure sensor as a function of NO<sub>2</sub> concentration: 0.05–10 ppm. (<b>k</b>) The heterostructure’s reaction and recovery time in relation to the concentration of NO<sub>2</sub>. (<b>l</b>) The selectivity of the sensor towards H<sub>2</sub> (1%), CO (500 ppm), NH<sub>3</sub> (300 ppm), SO<sub>2</sub> (50 ppm), H<sub>2</sub>S (50 ppm), CH<sub>4</sub> (1%), and NO<sub>2</sub> (10 ppm). Reproduced with permission from the authors of [<a href="#B9-nanomaterials-14-01724" class="html-bibr">9</a>]. The gas sensitivity performance of NO<sub>2</sub> gas sensor based on 1D SnO<sub>2</sub>-2D SnSe<sub>2</sub> heterostructure is improved by introducing backgate bias. (<b>m</b>) Dynamic resistance curves of a gas sensor based on 1D SnO<sub>2</sub>-2D SnSe<sub>2</sub> hybrid nanowire network for different NO<sub>2</sub> gas concentrations of 10–50 ppm at room temperature. Electrical characteristics evaluated with V<sub>DS</sub> = 1 V and V<sub>g</sub> = 0, 0.5, 1.0, 1.5, 2.0, and 2.5 V. (<b>n</b>) Response and recovery times as a function of gate voltage at a concentration of 50 ppm NO<sub>2</sub> gas and at room temperature. (<b>o</b>) Comparison of NO<sub>2</sub> gas sensing response at different backgate bias and gas concentrations of 10–50 ppm. Reproduced with permission from the authors of [<a href="#B34-nanomaterials-14-01724" class="html-bibr">34</a>].</p>
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<p>(<b>a</b>–<b>c</b>) The picture shows the dynamic ethanol response recovery curve of s BW/TiO<sub>2</sub>-3HNF-based flexible sensor under different bending states. The inset shows an optical image of a flexible sensing device with different bending states. (<b>d</b>) The sensitivity of the flexible sensor piece based on BW/TiO<sub>2</sub>-3HNFs varies with the bending angle. (<b>e</b>) Long-term stability measurement of flexible sensor elements based on BW/TiO<sub>2</sub>-3HNFs. Reprinted with permission from the authors of [<a href="#B138-nanomaterials-14-01724" class="html-bibr">138</a>].</p>
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<p>(<b>a</b>) Side profile view of a mixed-channel GFET. (<b>b</b>) Transfer characteristics of mixed-channel GFETs after each completion step, (<b>c</b>) Transfer characteristics of GFETs with Gr channels at different pressures, (<b>d</b>) Transfer characteristics of mixed-channel GFETs under different pressures. The source drain voltage (V<sub>D</sub>) was fixed at 1 V. (<b>e</b>) The Dirac point of transferred from Gr to ZnO-NR in the hybrid-channel GFET at different pressures; (<b>f</b>) Sensitivity of transferred from Gr to ZnO-NR in mixed-channel GFET at different pressures; (<b>g</b>) Electron concentration transferred from Gr to ZnO-NR in mixed-channel GFET at different pressures. Reproduced with permission from the authors of [<a href="#B123-nanomaterials-14-01724" class="html-bibr">123</a>]. (<b>h</b>) Illustrative diagram of the manufacturing process of piezoresistive pressure sensor. (<b>i</b>) Electrical resistance of latex rubber coated with ethanol and toluene, respectively. (<b>j</b>) Hysteresis loops of pressure sensor based on latex rubber coated with ethanol and toluene, respectively. Due to the high resistance from the uncoated region, a noisy signal was observed from the pressure sensor coated with ethanol. (<b>k</b>) Pressure sensor durability tested at high pressure (100 kPa) for 1000 loading/unloading cycles. Reproduced with permission from the authors of [<a href="#B151-nanomaterials-14-01724" class="html-bibr">151</a>].</p>
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<p>(<b>a</b>) Schematic diagram of device structure and working mechanism of ZnO-Ti-WSe<sub>2</sub> piezoelectric gate transistor. (<b>b</b>) The large figure shows the SEM image of ZnO-Ti-WSe<sub>2</sub> piezoelectric gate transistor. The inset figure shows the AFM profile of WSe<sub>2</sub> sheet thickness and the high-power SEM image of ZnO-NR at 45° tilt. (<b>c</b>) The figure shows the energy diagram of the piezoelectric gated Schottky barrier mechanism, and the lower red line is the energy band diagram after applying strain to the ZnO NR. (<b>d</b>) Transfer characteristics of ZnO-WSe<sub>2</sub> piezoelectric gate transistors under different weight loads. (<b>e</b>) Output characteristics of ZnO-WSe<sub>2</sub> piezoelectric gate transistors under different weight loads. (<b>f</b>) The function of the applied weight is calculated by the drain source current change ((ΔIds/Ids)%); scattering points come from transfer and output characteristics. Reproduced with permission from the authors of [<a href="#B10-nanomaterials-14-01724" class="html-bibr">10</a>].</p>
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29 pages, 6187 KiB  
Article
Promoting Sustainability: Collaborative Governance Pathways for Virtual Water Interactions and Environmental Emissions
by Jiawen Yu, Shengyang Pu, Hui Cheng, Cai Ren, Xiaoying Lai and Aihua Long
Sustainability 2024, 16(21), 9309; https://doi.org/10.3390/su16219309 - 26 Oct 2024
Viewed by 751
Abstract
This study explores the water consumption and greenhouse gas (GHG) emissions in the Yarkand River Basin, focusing on their dynamic interactions across industrial sectors. Utilizing environmental input–output analysis (IOA), the CROPWAT model, and life cycle assessment (LCA), we quantified the historical evolution of [...] Read more.
This study explores the water consumption and greenhouse gas (GHG) emissions in the Yarkand River Basin, focusing on their dynamic interactions across industrial sectors. Utilizing environmental input–output analysis (IOA), the CROPWAT model, and life cycle assessment (LCA), we quantified the historical evolution of physical and virtual water cycles in relation to the water–carbon nexus. Our findings reveal that the planting industry, particularly the production of export-oriented, water-intensive crops like cotton, significantly contributes to both blue and green water consumption, exacerbating regional water scarcity. The persistent external market demand drives this over-extraction, further strained by the basin’s limited water retention capabilities. Although advancements have been made in reducing the per-unit water footprint of crops, total water consumption continues to rise due to agricultural expansion, intensifying pressure on blue water resources. Additionally, agricultural GHG emissions have surged, driven by increased electricity consumption, heavy fertilizer use, and escalating soil N2O emissions. In light of these challenges, our research underscores the critical need for integrated resource management strategies that align with sustainable development goals. By promoting efficient water allocation within the agricultural sector and diversifying crop structures downstream, we can enhance ecosystem resilience and reduce environmental degradation. Furthermore, the advancement of value-added agricultural processing and the implementation of innovative water conservation technologies are essential for fostering economic sustainability. These strategies not only mitigate the environmental impacts associated with agricultural practices but also strengthen the region’s adaptive capacity in the face of climate change and fluctuating market demands. Our findings contribute to the broader discourse on sustainable agricultural practices, emphasizing the interconnectedness of water management, climate resilience, and economic viability in arid regions. Full article
(This article belongs to the Special Issue Recent Advances in Climate Change and Water Resources)
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<p>Geographical map of the study area.</p>
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<p>The transfer process of physical water and virtual water during cotton production.</p>
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<p>Changes in the structure of physical water and virtual water consumption.</p>
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<p>The scale of different planting subsectors and the spatial distribution of blue–green physical water consumption.</p>
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<p>Flow and transfer of blue–green virtual water among sectors in 2015.</p>
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<p>The influence and driving force correlation coefficient of the dominant industry.</p>
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<p>Temporal and spatial changes of crop production water footprint from 1990 to 2015.</p>
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<p>The interannual variation trend of crop water footprint by county-level administrative regions from 1990 to 2015.</p>
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<p>Changes in GHG emissions and carbon footprint (<span class="html-italic">CF</span>) composition from crop production between 1990 and 2015.</p>
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<p>Composition and trends of the carbon footprint (<span class="html-italic">CF</span>) from crop production in each county.</p>
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<p>The correlation and driving mechanisms between industry water–carbon footprint and policy measures.</p>
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<p>The mutation test and piecewise linear fitting of crop production the water–carbon footprint.</p>
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33 pages, 9655 KiB  
Article
Development of Technology for the Synthesis of Nanocrystalline Cerium Oxide Under Production Conditions with the Best Regenerative Activity and Biocompatibility for Further Creation of Wound-Healing Agents
by Ekaterina V. Silina, Victor A. Stupin, Natalia E. Manturova, Elena L. Chuvilina, Akhmedali A. Gasanov, Anna A. Ostrovskaya, Olga I. Andreeva, Natalia Y. Tabachkova, Maxim A. Abakumov, Aleksey A. Nikitin, Alexey A. Kryukov, Svetlana A. Dodonova, Aleksey V. Kochura and Maksim A. Pugachevskii
Pharmaceutics 2024, 16(11), 1365; https://doi.org/10.3390/pharmaceutics16111365 - 25 Oct 2024
Viewed by 358
Abstract
Background/Objectives: The issue of effective wound healing remains highly relevant. The objective of the study is to develop an optimal method for the synthesis of nanosized cerium oxide powder obtained via the thermal decomposition of cerium carbonate precipitated from aqueous nitrate solution for [...] Read more.
Background/Objectives: The issue of effective wound healing remains highly relevant. The objective of the study is to develop an optimal method for the synthesis of nanosized cerium oxide powder obtained via the thermal decomposition of cerium carbonate precipitated from aqueous nitrate solution for the technical creation of new drugs in production conditions; the select modification of synthesis under different conditions based on the evaluation of the physicochemical characteristics of the obtained material and its biological activity, and an evaluation of the broad-spectrum effect on cells involved in the regeneration of skin structure as well as antimicrobial properties. Methods: Several modes of the industrial synthesis of cerium dioxide nanoparticles (NPs) were carried out. The synthesis stages and the chemical and physical parameters of the obtained NPs were described using transmission electron microscopy (TEM), X-ray diffraction, Raman spectroscopy, and mass spectrometry. The cell cultures of human fibroblasts and keratinocytes were cultured with different concentrations of different nanoceria variations, and the cytotoxicity and the metabolic and proliferative activity were investigated. An MTT test and cell counting were performed. The antimicrobial activity of CeO2 variations at a concentration of 0.1–0.0001 M against Pseudomonas aeruginosa was studied. Results: The purity of the synthesized nanoceria powders in all the batches was >99.99%. According to TEM data, the size of the NPs varied from 1 nm to 70 nm under different conditions and methodologies. The most optimal technology for the synthesis of the nanoceria with the maximum biological effect was selected. A method for obtaining the most bioactive NPs of optimal size (up to 10 nm) was proposed. The repeatability of the results of the proposed method of nanoceria synthesis in terms of particle size was confirmed. It was proven that the more structural defects on the surface of the CeO2 crystal lattice, the higher the efficiency of the NPs due to oxygen vacancies. The strain provided the best redox activity and antioxidant properties of the nanoceria, which was demonstrated by better regenerative potential on various cell lines. The beneficial effect of synthesized nanoceria on the proliferative and metabolic activity of the cell lines involved in skin regeneration (human fibroblasts, human keratinocytes) was demonstrated. The antimicrobial effect of synthesized nanoceria on the culture of the most-resistant-to-modern-antibiotics microorganism Pseudomonas aeruginosa was confirmed. The optimal concentrations of the nanoceria to achieve the maximum biological effect were determined (10−3 M). Conclusions: It was possible to develop a method for the industrial synthesis of nanoceria, which can be used to produce drugs and medical devices containing CeO2 NPs. Full article
(This article belongs to the Special Issue Nanoformulations for Local Treatment of Cancer, Infections and Wounds)
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<p>TEM images of CeO<sub>2</sub>-I powder: (<b>a</b>) overview image of agglomerate and (<b>b</b>) its electronogram; (<b>c</b>–<b>f</b>) enlarged image before visualization of individual nanoparticles with scale bar from 100 nm to 10 nm.</p>
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<p>Grain size distribution of CeO<sub>2</sub>-I powder nanoparticles.</p>
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<p>TEM image of CeO<sub>2</sub>-II powder particles: (<b>a</b>) overview image of agglomerate and (<b>b</b>) electronogram from this agglomerate; (<b>c</b>–<b>f</b>) enlarged image of individual nanoparticles with scale bar from 100 nm to 5 nm.</p>
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<p>Particle size distribution for CeO<sub>2</sub>-II powder.</p>
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<p>TEM image of CeO<sub>2</sub>-III powder particles: (<b>a</b>) overview image of agglomerate and (<b>b</b>) its electronogram; (<b>c</b>–<b>f</b>) enlarged image of individual grains with ruler of different sizes up to 5 nm.</p>
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<p>Grain size distribution for CeO<sub>2</sub>-III powder.</p>
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<p>TEM images of CeO<sub>2</sub>-I sols in the lower fraction: (<b>a</b>) overview image of large aglomerate and (<b>b</b>) electronogram from this agglomerate; (<b>c</b>–<b>f</b>) enlarged image of individual grains with ruler of different sizes.</p>
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<p>TEM images of a sample of CeO<sub>2</sub>-I sol from the middle. (<b>a</b>–<b>c</b>) Light-field (left), dark-field (middle) PEM images, and electronograms (right) of this agglomerate; (<b>d</b>–<b>f</b>) photographs at different magnifications.</p>
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<p>Histogram of crystallite size distribution of middle part of CeO<sub>2</sub> sol.</p>
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<p>Brightfield (<b>a</b>,<b>c</b>,<b>d</b>) and darkfield (<b>b</b>) TEM images at different magnifications from the upper nano-ceria fraction (top 10% of sol after sedimentation).</p>
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<p>X-ray diffraction analysis patterns of CeO<sub>2</sub>-I (<b>a</b>), CeO<sub>2</sub>-II (<b>b</b>), CeO<sub>2</sub>-III (<b>c</b>).</p>
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<p>Raman spectra of CeO<sub>2</sub> samples.</p>
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<p>Effect of different methods and concentrations of cerium dioxide nanoparticles on metabolic activity of human fibroblasts in MTT test (ANOVA OD:F = 101.418; df 9, <span class="html-italic">p</span> &lt; 0.001; *—different from control at <span class="html-italic">p</span> &lt; 0.001).</p>
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<p>Effect of nanoceria production methodology and its concentrations on proliferative activity of fibroblasts (BJTERT cell line) by direct cell counting using automated cell counter. Mean percentages from control are presented (ANOVA OD:F = 5.216; df 9, <span class="html-italic">p</span> &lt; 0.001; difference from control at *—<span class="html-italic">p</span> &lt; 0.001; Bonferroni and Dunnett tests).</p>
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<p>Comparison of MTT test results on fibroblasts during nanoceria synthesis with and without sedimentation (<sup>#</sup>—different between subgroups at <span class="html-italic">p</span> &lt; 0.001).</p>
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<p>Photographs of fibroblasts after 72 h of co-cultivation with CeO<sub>2</sub> of different synthesis modifications and at different concentrations (magnification ×20).</p>
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<p>Effect of different methods and concentrations of cerium dioxide nanoparticles on metabolic activity of human keratinocytes in MTT test (ANOVA OD: F = 195.19; df 9, <span class="html-italic">p</span> &lt; 0.001; * different from control at <span class="html-italic">p</span> &lt; 0.001; red *—significant depression, green *—significant stimulation of cells relative to Control).</p>
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<p>Effect of nanoceria synthesis methodology and its concentrations on proliferative activity of keratinocytes by direct cell counting using an automatic cell counter. Mean percentages from control are presented (ANOVA OD: F = 31.852; df 9, <span class="html-italic">p</span> &lt; 0.001; difference from control at * ; <span class="html-italic">p</span> &lt; 0.001; Bonferroni and Dunnett tests).</p>
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<p>Photographs of keratinocytes after 72 h of co-cultivation with CeO<sub>2</sub> of different synthesis modifications and at different concentrations. All the photographs were taken at the same magnification (×20). Visually, the seemingly smaller size of keratinocytes in the CeO<sub>2</sub>-II samples is associated with a higher concentration of more active keratinocytes, which are more pressed together compared to less active and rarer cells (due to this, they seem visually larger) in the CeO<sub>2</sub>-III sample.</p>
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<p>Growth retardation zones against <span class="html-italic">Pseudomonas aeruginosa</span> nanoceria obtained by different methods and at different concentrations.</p>
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9 pages, 197 KiB  
Article
Eight Conditions That Will Change Mining Work in Mining 4.0
by Joel Lööw and Jan Johansson
Mining 2024, 4(4), 904-912; https://doi.org/10.3390/mining4040050 - 24 Oct 2024
Viewed by 602
Abstract
The mining industry is undergoing a transformation driven by the adoption of Industry 4.0 technologies, implementing autonomous trucks, drones, positions systems, and similar technologies. This article, drawing on experiences and observations from several studies conducted in the mining industry, explores the impact of [...] Read more.
The mining industry is undergoing a transformation driven by the adoption of Industry 4.0 technologies, implementing autonomous trucks, drones, positions systems, and similar technologies. This article, drawing on experiences and observations from several studies conducted in the mining industry, explores the impact of these technologies on mining work. It identifies eight key potential changes in working conditions. Firstly, routine and dangerous tasks are increasingly automated, reducing physical strain but potentially leading to job displacement and increased maintenance demands. Secondly, operators and managers are shifting toward handling disturbances and training algorithms, as AI takes over decision-making processes. Thirdly, managers are responsible for more capital with fewer people, potentially altering managerial roles and spans of control. Fourthly, the global connectivity of operations makes the world both larger and smaller, with a universal language blurring boundaries. Fifthly, work becomes location-independent, allowing for remote operation and management. Sixthly, the distinction between work and private life blurs, with increased availability expected from operators and managers. Seventhly, technology expands human senses, providing real-time data and situational awareness. Eighthly and lastly, the pervasive collection and retention of data create a scenario where one’s history is inescapable, raising concerns about data ownership and privacy. These changes necessitate a strategic response from the mining industry to ensure socially sustainable technology development and to attract a future workforce. Full article
(This article belongs to the Special Issue Envisioning the Future of Mining, 2nd Edition)
18 pages, 2848 KiB  
Article
Comparative Study on the Fermentation Characteristics of Selective Lactic Acid Bacteria in Shanxi Aged Vinegar: Pure Culture Versus Co-Culture
by Qi Li, Yujing Zhang, Chaomin Wang, Xiaoyu Zhang, Ruteng Wei, Yunlong Li, Qiqiong Li and Nv Xu
Foods 2024, 13(21), 3374; https://doi.org/10.3390/foods13213374 - 23 Oct 2024
Viewed by 600
Abstract
The diversity of the microbial community structure plays a crucial role in the flavor and nutritional value of Shanxi aged vinegar in fermentation. Illumina Miseq high-throughput sequencing identified thirteen bacterial genera, with Lactobacillales (44.89%) and Acetobacter (21.04%) being the predominant species. Meanwhile, the [...] Read more.
The diversity of the microbial community structure plays a crucial role in the flavor and nutritional value of Shanxi aged vinegar in fermentation. Illumina Miseq high-throughput sequencing identified thirteen bacterial genera, with Lactobacillales (44.89%) and Acetobacter (21.04%) being the predominant species. Meanwhile, the fermentation characteristics of selected lactic acid bacteria strains isolated from Shanxi aged vinegar were studied in different media. The results showed that the biomass, and physical and chemical indices, as well as flavor compounds of the four strains of lactic acid bacteria in the simulated vinegar fermented grains medium were superior to those in barley and pea medium and sorghum juice medium. The bacterial interaction was conducted to investigate the effects on growth, the physicochemical indices, and flavor substances in order to determine the optimal combination. Furthermore, the interaction between pure cultures and co-cultures of lactic acid bacteria in a simulated vinegar culture medium was investigated, with a focus on the impact of this interaction on strain growth, fermentation characteristics, and flavor compound production. Compared with the pure culture, when strains L7 and L729 were co-inoculated, the reducing sugar content was 0.31 ± 0.01 g/100 g, total acid content was 3.02 ± 0.06 g/100 g, acetoin content was 2.41 ± 0.07 g/100 g, and total organic acid content was 3.77 ± 0.17 g/100 g. In terms of flavor compounds, the combined culture system exhibited higher levels of esters, aldehydes, and acids compared to pure cultures or other co-culture systems. This study revealed the fermentation characteristics of selected lactic acid strains in Shanxi aged vinegar under different conditions and their interaction in simulated vinegar fermentation media, which could provide theoretical support for the safety and health evaluation of aged vinegar. Full article
(This article belongs to the Section Food Biotechnology)
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<p>Dynamic changes in <span class="html-italic">lactic acid</span> bacteria biomass at the phylum and genus level in different batches of Shanxi aged vinegar during alcohol and acetic acid fermentation stages. Notes: #1 is the first batch of secondary samples; #2 is the second batch sample. (<b>A</b>) Traditional handmade two batches of alcohol fermentation stage <span class="html-italic">lactic acid</span> bacteria biomass. (<b>B</b>) Traditional handmade two batches of acetic acid fermentation stage <span class="html-italic">lactic acid</span> bacteria biomass. (<b>C</b>) Dynamic changes in bacterial phylum level during the fermentation process of aged vinegar. (<b>D</b>) Dynamic changes in bacterial genus level during the fermentation process of aged vinegar.</p>
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<p>Colony morphology and cell morphology of <span class="html-italic">lactic acid</span> bacteria. Notes: L7: <span class="html-italic">Lactobacillus plantarum</span> SAVndL 7. L19: <span class="html-italic">Lactobacillus plantarum</span> SAVndL 19. L729: <span class="html-italic">Pediococcus acidilactici</span> SAVndL 729. L2422: <span class="html-italic">Pediococcus pentosaceus</span> SAVndL 2422.</p>
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<p>Growth characteristics of different <span class="html-italic">Lactobacillus</span> strains L7, L19, L729, and L2422 in different media and the characteristics of total acid production, reducing sugar, and acetoin production. Notes: (<b>A</b>) Biomass of <span class="html-italic">lactic acid</span> bacteria in barley and pea medium. (<b>B</b>) Biomass of <span class="html-italic">lactic acid</span> bacteria in sorghum juice medium. (<b>C</b>) The biomass of <span class="html-italic">lactic acid</span> bacteria in the fermented fermentation medium was simulated. (<b>D</b>) Reducing sugar utilization of <span class="html-italic">lactic acid</span> bacteria in different media. (<b>E</b>) Acid-producing properties of <span class="html-italic">lactic acid</span> bacteria in different media. (<b>F</b>) Acetoin production properties of <span class="html-italic">lactic acid</span> bacteria in different media. Capital letters represent changes in different strains in the same medium; lowercase letters represent changes in different media of the same strain.</p>
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<p>Characterization of organic acids and volatile aroma substances of <span class="html-italic">Lactobacillus</span> strains L7, L19, L729, and L2422 in different media. Notes: (<b>A</b>) The differences in organic acid content in different media. (<b>B</b>) Heat map of organic acid content in different media. (<b>C</b>) Aroma component content in barley and pea medium. (<b>D</b>) Aroma component content in sorghum juice medium. (<b>E</b>) Simulated the content of aroma components in simulated vinegar culture medium.</p>
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<p>Biomass and physical and chemical indexes in pure culture and co-culture systems. Notes: (<b>A</b>) biomass of L7 in pure and co-culture systems; (<b>B</b>) biomass of L19 in pure and co-culture systems; (<b>C</b>) biomass of L729 in pure and co-culture systems; and (<b>D</b>) biomass of L2422 in pure and co-culture systems. (<b>E</b>) Changes in the content of sugars, total acids, total esters, and acetoin.</p>
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<p>Determination and analysis of organic acid content and volatile aroma components in pure culture and co-culture systems. Notes: (<b>A</b>) Histogram analysis of organic acid content changes in pure culture and co-culture systems. (<b>B</b>) Heat map of organic acid content change in pure culture and co-culture system. (<b>C</b>) Changes in the contents of volatile aroma components esters in pure culture and co-culture systems. (<b>D</b>) Changes in the contents of volatile aroma components aldehydes in pure culture and co-culture systems. (<b>E</b>) Changes in the contents of volatile aroma components alcohols in pure culture and co-culture systems. (<b>F</b>) Changes in the contents of volatile aroma components ketones in pure culture and co-culture systems. (<b>G</b>) Changes in the acid content of volatile aroma components in pure culture and co-culture system. (<b>H</b>) Changes in other types of volatile aroma components in pure culture and co-culture systems.</p>
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