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Search Results (281)

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Keywords = strain response difference field

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10 pages, 1408 KiB  
Communication
Expression of Immune Genes and Leukocyte Population in the Conjunctiva, Harderian Gland and Trachea of Chickens Inoculated with a Live Vaccine and a Field Strain Infectious Laryngotracheitis Virus
by Thanh Tien Tran, Nicholas Andronicos and Priscilla F. Gerber
Poultry 2024, 3(4), 399-408; https://doi.org/10.3390/poultry3040030 - 12 Nov 2024
Viewed by 256
Abstract
Changes in leukocyte populations and immune gene expression associated with attenuated vaccine (SA2) or field (Class 9) strains of infectious laryngotracheitis virus in chicken pullets were observed primarily in the trachea and conjunctiva, while no substantial changes were detected in the Harderian gland. [...] Read more.
Changes in leukocyte populations and immune gene expression associated with attenuated vaccine (SA2) or field (Class 9) strains of infectious laryngotracheitis virus in chicken pullets were observed primarily in the trachea and conjunctiva, while no substantial changes were detected in the Harderian gland. Although there were no significant differences in cellular infiltration in the tissues exposed to Class 9 and SA2, Class 9 induced greater changes in immune gene expression than SA2 in the trachea and conjunctiva and significantly upregulated CD4, CD8A, IRF1, STAT4 and downregulated CXCL12 expression in the trachea. Meanwhile, SA2 significantly upregulated CD14 and downregulated MPO, CCR6 and RAG1 expression in the conjunctiva. In conclusion, gene expression in pullets infected with SA2 and Class 9 were mostly related to inflammatory and tissue-repairing responses in the trachea and conjunctiva. Compared to SA2, Class 9 inoculation was associated with a more robust gene expression of immune markers; however, a larger infiltration of Kul01+, Bu1+ and CD8a+ cells was observed in trachea and conjunctiva after SA2 inoculation. Full article
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<p>Flow chart describes the experimental designs and the combination of data. Birds were inoculated with ILTV vaccine strain (SA2, 10<sup>4.1</sup> pfu) or ILTV field strain (Class 9, 10<sup>3</sup> TCID<sub>50</sub>) by eye-drop (ED, 30 µL delivered in each eye) or oral inoculation (OR, 200 µL). Birds were euthanized for sample collection at 5 and 10 days post-inoculation (dpi).</p>
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<p>The CD4<sup>+</sup>, CD8a<sup>+</sup>, Bu1<sup>+</sup> and Kul01<sup>+</sup> cell quantification in the conjunctiva, Harderian gland and trachea of the birds collected at dpi 5 and 10 after inoculation with SA2 vaccine, Class 9 virulent ILTV or sterile cell culture medium (sham). (<b>a</b>): Photomicrographs of the region of interest (ROI, area inside the white contour) in each tissue type were used to estimate the total and stained areas. (<b>b</b>): The stained area (%) of the CD8a+, CD4+, Bu1+ and Kul01+ cells in the tissues of the individual birds inoculated with SA2 (blue triangle), Class 9 ILTV (orange circle) or sham (green rhombus). The bold lines indicate the mean of the stained area (%) of the cells stimulated by SA2 (blue), Class 9 (orange) or sham inoculation (green). The levels not connected by the same letter are significantly different (<span class="html-italic">p</span> &lt; 0.05). (<b>c</b>): Representative photomicrographs of the CD4+, CD8a+, Kul01+ and Bu1+ cells in the tissues inoculated with SA2 ILTV acquired at a magnification of 20× under fluorescence microscopy. The white scale bar indicates 20 µm in length. The cell subsets were identified by direct immunofluorescence staining using mouse anti-chicken monoclonal antibodies conjugated with FITC (CD8a, CD4 and Kul01) or Alexa Fluor 647 (Bu1). The representative photomicrographs of the cells in the tissues inoculated with Class 9 ILTV are presented in <a href="#app1-poultry-03-00030" class="html-app">Figure S3</a>.</p>
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<p>Differentially expressed genes after ILTV inoculation of chickens in conjunctiva (<b>a</b>), Harderian gland (<b>b</b>) and trachea (<b>c</b>). Gene expression level is presented as fold change (FC) of ILTV-inoculated birds (SA2, Class 9) relative to the sham group. FC values greater than 2 (full line) indicate upregulation, while FC values less than 0.5 (dashed line) indicate downregulation. * signifies a trend towards statistical difference (0.05 ≤ <span class="html-italic">p</span> ≤ 0.10) between groups. ** signifies statistical difference (<span class="html-italic">p</span> &lt; 0.05) between groups. <span class="html-italic">p</span> values were calculated using Student’s <span class="html-italic">t</span>-test of the replicate 2<sup>−ΔCt</sup> values for each gene in the sham-inoculated and ILTV-inoculated groups.</p>
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16 pages, 5610 KiB  
Article
Comparative Genomic and Secretome Analysis of Phytophthora capsici Strains: Exploring Pathogenicity and Evolutionary Dynamics
by Oscar Villanueva, Hai D. T. Nguyen and Walid Ellouze
Agronomy 2024, 14(11), 2623; https://doi.org/10.3390/agronomy14112623 - 7 Nov 2024
Viewed by 419
Abstract
Phytophthora capsici is a destructive oomycete pathogen that poses a significant threat to global agriculture by infecting a wide range of economically important crops in the Solanaceae and Cucurbitaceae families. In Canada, the pathogen has been responsible for substantial losses in greenhouse and [...] Read more.
Phytophthora capsici is a destructive oomycete pathogen that poses a significant threat to global agriculture by infecting a wide range of economically important crops in the Solanaceae and Cucurbitaceae families. In Canada, the pathogen has been responsible for substantial losses in greenhouse and field-grown crops. Despite extensive worldwide research on P. capsici, little is known about the effector content and pathogenicity of the Canadian isolates. In this study, we sequenced and analyzed the genomes of two Canadian P. capsici strains, namely 55330 and 55898, and conducted a comparative secretome analysis with globally referenced strains LT1534 and LT263. The Canadian strains displayed smaller genomes at 57.3 Mb and 60.2 Mb compared to LT263 at 76 Mb, yet retained diverse effector repertoires, including RxLR and CRN effectors, and exhibited robust pathogenic potential. Our analysis revealed that while the Canadian strains have fewer unique effector clusters compared to LT263, they possess comparable CAZyme profiles, emphasizing their capacity to degrade plant cell walls and promote infection. The differences in effector content likely reflect host adaptation, as P. capsici infects a variety of plant species. This study provides valuable insights into the genetic features of Canadian P. capsici isolates and offers a foundation for future efforts in developing targeted disease-management strategies. Full article
(This article belongs to the Special Issue Research Progress on Pathogenicity of Fungi in Crops—2nd Edition)
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<p>Maximum-likelihood phylogenetic tree generated based on concatenated alignment of 50 core genes shared between the 28 <span class="html-italic">Phytophthora</span> spp. genomes sourced from NCBI. The two <span class="html-italic">P. capsici</span> genomes from this study are highlighted in bold. The tree was rooted to <span class="html-italic">P. infestans</span> T30-4. The numbers at each node represent bootstrap support, expressed as percentages.</p>
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<p>Distribution, abundance, and diversity of CAZyme families across <span class="html-italic">P. capsici</span> strains. Glycoside hydrolases (GHs), glycosyl transferases (GTs), polysaccharide lyases (PLs), carbohydrate esterases (CEs), auxiliary activities (AAs), and carbohydrate-binding modules (CBMs).</p>
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<p>CRN motif content across <span class="html-italic">P. capsici</span> strains. CRN motif categories were defined as follows: “complete” contains both motifs of interest (LFLAK + HVLV), “LFLAK only” includes effectors with just the LFLAK motif, and “HVLV only” includes those with just the HVLV motif. The “no motifs” category refers to sequences that matched the HMM profile but lacked either of the motifs of interest.</p>
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<p>CRN-protein orthology analysis of <span class="html-italic">P. capsici</span> strains. (<b>a</b>) Venn diagram showing the number of shared CRN-protein clusters across different <span class="html-italic">P. capsici</span> strains. (<b>b</b>) Homology network representing the CRN clusters unique to each <span class="html-italic">P. capsici</span> strain. (<b>c</b>) Classification of CRN-effector motifs within the unique clusters identified in each <span class="html-italic">P. capsici</span> strain.</p>
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<p>RxLR motif content across <span class="html-italic">P. capsici</span> strains. RxLR motif categories were defined as follows: “complete” contains both motifs of interest (RxLR and EER), “RxLR only” includes effectors with just the RxLR motif, and “EER only” includes those with just the EER motif. The “no motifs” category refers to sequences that matched the HMM profile but lacked either of the motifs of interest.</p>
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<p>RxLR-protein orthology analysis of <span class="html-italic">P. capsici</span> strains. (<b>a</b>) Venn diagram showing the number of shared RxLR-protein clusters across different <span class="html-italic">P. capsici</span> strains. (<b>b</b>) Homology network representing the RxLR clusters unique to each <span class="html-italic">P. capsici</span> strain. (<b>c</b>) Classification of RxLR-effector motifs within the unique clusters identified in each <span class="html-italic">P. capsici</span> strain.</p>
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13 pages, 5162 KiB  
Article
Crack Development and Electrical Degradation in Chromium Thin Films Under Tensile Stress on PET Substrates
by Atif Alkhazali, Sa’d Hamasha, Mohammad M. Hamasha, Haitham Khaled and Raghad Massadeh
Coatings 2024, 14(11), 1403; https://doi.org/10.3390/coatings14111403 - 5 Nov 2024
Viewed by 536
Abstract
The mechanical and electrical deterioration of chromium (Cr) thin films sputtered onto polyethylene terephthalate (PET) substrates under tensile strain was studied. Understanding mechanical and electrical stability due to imposed strain is particularly important for device reliability, as the demand for flexible electronic devices [...] Read more.
The mechanical and electrical deterioration of chromium (Cr) thin films sputtered onto polyethylene terephthalate (PET) substrates under tensile strain was studied. Understanding mechanical and electrical stability due to imposed strain is particularly important for device reliability, as the demand for flexible electronic devices increases. Cr thin films, widely spread across the field of electronic and sensor applications, face crack propagation with electrical degradation with tensile stress that can seriously compromise the performance. Accordingly, this study offers new findings on how Cr film thickness might influence crack formation and electrical resistance differently and also the general guidelines for flexible electronic component design with respect to long-term durability. Electrical resistances were measured while mechanically stretching 100- and 200 nm thin sheets. The study focused on crack development and propagation mechanisms in both film thicknesses and their effects on percentage change in electrical resistance (PCER). Scanning electronic microscopy (SEM) was used to characterize surface morphology and observe cracks as the strain rose. Early crack formation in 100 nm Cr films led to rapid PCER increases due to quick crack propagation and fast electrical degradation. Thicker 200 nm films, however, showed a more gradual PCER rise with fewer but deeper cracks, indicating a regulated strain response. Unlike the sharp PCER spike in 100 nm films, 200 nm samples were more variable, with three out of four showing a slight PCER decrease at the end, hinting at partial crack repair or conductive realignment before full failure. These results underscore the role of layer thickness in managing crack propagation and electrical stability, relevant for flexible electronics and strain sensors. This paper is aligned with the ninth goal of the United Nations Sustainable Development Goals, specifically Target 9.5: Enhance Research and Upgrade Industrial Technologies. Full article
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<p>Schematic illustration of the specimen and grips.</p>
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<p>SEM image of crack formation in a 100 nm thick chromium film stretched to 3.75% of its original length.</p>
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<p>SEM image of crack formation in a 100 nm thick chromium film stretched to 5% of its original length.</p>
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<p>SEM image of crack formation in a 100 nm thick chromium film stretched to 6.25% of its original length.</p>
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<p>SEM image of crack formation in a 200 nm thick chromium film stretched to 3.75% of its original length.</p>
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<p>SEM image of crack formation in a 200 nm thick chromium film stretched to 5% of its original length.</p>
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<p>SEM image of crack formation in a 200 nm thick chromium film stretched to 6.25% of its original length.</p>
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<p>Strain relationship in four 100 nm chromium thin film samples: analysis of PCER under tensile stress.</p>
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<p>The slight decrease in PCER in Sample 1 of the 100 nm chromium thin film.</p>
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<p>Strain relationship in four 200 nm chromium thin film samples: analysis of PCER under tensile stress.</p>
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21 pages, 19527 KiB  
Article
Three-Dimensional Printed Nanocomposites with Tunable Piezoresistive Response
by Francesca Aliberti, Liberata Guadagno, Raffaele Longo, Marialuigia Raimondo, Roberto Pantani, Andrea Sorrentino, Michelina Catauro and Luigi Vertuccio
Nanomaterials 2024, 14(21), 1761; https://doi.org/10.3390/nano14211761 - 2 Nov 2024
Viewed by 826
Abstract
This study explores a novel approach to obtaining 3D printed strain sensors, focusing on how changing the printing conditions can produce a different piezoresistive response. Acrylonitrile butadiene styrene (ABS) filled with different weight concentrations of carbon nanotubes (CNTs) was printed in the form [...] Read more.
This study explores a novel approach to obtaining 3D printed strain sensors, focusing on how changing the printing conditions can produce a different piezoresistive response. Acrylonitrile butadiene styrene (ABS) filled with different weight concentrations of carbon nanotubes (CNTs) was printed in the form of dog bones via fused filament fabrication (FFF) using two different raster angles (0–90°). Scanning electron microscopy (SEM) and atomic force microscopy (AFM) in TUNA mode (TUNA-AFM) were used to study the morphological features and the electrical properties of the 3D printed samples. Tensile tests revealed that sensitivity, measured by the gauge factor (G.F.), decreased with increasing filler content for both raster angles. Notably, the 90° orientation consistently showed higher sensitivity than the 0° orientation for the same filler concentration. Creep and fatigue tests identified permanent damage through residual electrical resistance values. Additionally, a cross-shaped sensor was designed to measure two-dimensional deformations simultaneously, which is applicable in the robotic field. This sensor can monitor small and large deformations in perpendicular directions by tracking electrical resistance variations in its arms, significantly expanding its measuring range. Full article
(This article belongs to the Section 2D and Carbon Nanomaterials)
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<p>Scheme, image, and optical microscopy of printed samples: (<b>a</b>) 0° printing direction; (<b>b</b>) 90° printing direction.</p>
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<p>Equipment used to perform mechanical and sensing tests.</p>
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<p>Electrical conductivity of single printed filament, 3D printed samples in both 0° and 90° direction, and the spooled filament for the different investigated CNT concentrations (ABS-3%CNTs, ABS-5%CNTs, and ABS-8%CNTs).</p>
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<p>Morphological investigation: (<b>a</b>) SEM images of the raw printed sample, (<b>b</b>) SEM images of the etched printed sample, (<b>c</b>) SEM image of CNTs along a single printed filament, (<b>d</b>) SEM images of the inter-filament region, (<b>e</b>) TUNA current image along a single printed filament, (<b>f</b>) enlargement of TUNA current image.</p>
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<p>Electrical (red curves and right Y-axis) and mechanical responses (blue curves and left Y-axis) of ABS-5%CNTs samples: (<b>a</b>) complete curves of the sample printed in the 0° printing direction, (<b>b</b>) enlargement on the elastic regime of the sample printed in the 0° printing direction; (<b>c</b>) complete curves of the sample printed in the 90° printing direction, (<b>d</b>) enlargement on the elastic regime of the sample printed in the 90° printing direction.</p>
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<p>Electrical (red curves and right Y-axis) and mechanical responses (blue curves and left Y-axis) of samples printed in both the 0° and 90° directions for the other two investigated filler concentrations (ABS-3%CNTs and ABS-8%CNTs).</p>
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<p>Gauge factor (G.F.) variations with printing direction at different filler concentrations (ABS-3%CNTs, ABS-5%CNTs, and ABS-8%CNTs).</p>
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<p>Electrical (red curves and right Y-axis) and mechanical responses (blue curves and left Y-axis) to cyclic tensile loading–unloading tests of ABS-5%CNTs samples printed in (<b>a</b>) 0° printing direction and (<b>b</b>) 90° printing direction.</p>
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<p>Electrical (red curves and right Y-axis) and mechanical responses (blue curves and left Y-axis) to creep and recovery tests of ABS-5%CNTs samples printed in (<b>a</b>) 0° printing direction and (<b>b</b>) 90° printing direction.</p>
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<p>Two-dimensional piezoresistive response when the load is applied in the same direction as the printed filaments: (<b>a</b>) scheme of the two-dimensional sensor; (<b>b</b>) image of the real sample during the tensile test in the printing direction, (<b>c</b>) visualization of material strain and scheme of resistance monitoring during the mechanical test; (<b>d</b>) electrical (red curves and right Y-axis) and mechanical responses (blue curve and left Y-axis) of the two-dimensional sensor during the tensile test in the printing direction.</p>
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<p>Two-dimensional piezoresistive response when the load is applied perpendicularly to the printed filaments: (<b>a</b>) scheme of the two-dimensional sensor; (<b>b</b>) image of the real sample during the tensile test in the perpendicular direction to printed filaments, (<b>c</b>) visualization of material strain and scheme of resistance monitoring during the mechanical test; (<b>d</b>) electrical (red curves and right Y-axis) and mechanical responses (blue curve and left Y-axis) of the two-dimensional sensor the tensile test in the perpendicular direction to printed filaments.</p>
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<p>Two-dimensional piezoresistive response when a bending load is applied: (<b>a</b>) scheme of resistance monitoring and applied bending load direction on the two-dimensional sensor; (<b>b</b>) electrical (red and green curves) and mechanical responses (blue curve) of the two-dimensional sensor the cyclic bending test, (<b>c</b>) image of the real sample during the cyclic bending test.</p>
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<p>Applications of multidirectional piezoresistive sensors: (<b>a</b>) image of the two-dimensional 3D printed sensor applied on the human hand, (<b>b</b>) scheme of resistance monitoring and orientation of the two-dimensional sensor, (<b>c</b>) scheme of sensing test equipment, (<b>d</b>) electrical responses of the two-dimensional sensor applied as a strain sensor of human motion.</p>
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11 pages, 580 KiB  
Perspective
The Role of Next-Generation Sequencing (NGS) in the Relationship between the Intestinal Microbiome and Periprosthetic Joint Infections: A Perspective
by Salvatore Gioitta Iachino, Federica Scaggiante, Claudia Mazzarisi and Christian Schaller
Antibiotics 2024, 13(10), 931; https://doi.org/10.3390/antibiotics13100931 - 1 Oct 2024
Viewed by 897
Abstract
Periprosthetic joint infections are still a challenge in orthopedics and traumatology. Nowadays, genomics comes to the aid of diagnosis and treatment, in addition to traditional methods. Recently, a key role of the intestinal microbiota has been postulated, and great efforts are aimed at [...] Read more.
Periprosthetic joint infections are still a challenge in orthopedics and traumatology. Nowadays, genomics comes to the aid of diagnosis and treatment, in addition to traditional methods. Recently, a key role of the intestinal microbiota has been postulated, and great efforts are aimed at discovering its interconnection, which shows to be at different levels. Firstly, the gut microbiome influences the immune system through the gut-associated lymphoid tissue (GALT). A balanced microbiome promotes a strong immune response, which is essential to prevent all local and systemic infections, including PJI. Thus, a dysbiosis, i.e., the disruption of this system, leads to an imbalance between the various strains of microorganisms co-existing in the gut microbiome, which can result in a weakened immune system, increasing susceptibility to infections, including PJI. Additionally, the dysbiosis can result in the production of pro-inflammatory mediators that enter the systemic circulation, creating a state of chronic inflammation that can compromise the immune system’s ability to fend off infections. Furthermore, the microbiome maintains the integrity of the gut barrier, preventing the translocation of harmful bacteria and endotoxins into the bloodstream; dysbiosis can compromise this protective “wall”. In addition, the gut microbiome may harbor antibiotic-resistance genes; during antibiotic treatment for other infections or prophylaxis, these genes may be transferred to pathogenic bacteria, making the treatment of PJI more difficult. In this complex landscape, next-generation sequencing (NGS) technology can play a key role; indeed, it has revolutionized the study of the microbiome, allowing for detailed and comprehensive analysis of microbial communities. It offers insights into the functional potential and metabolic capabilities of the microbiome, studies the collective genome of the microbiome directly from environmental samples sequencing DNA without isolating individual organisms, analyzes the RNA transcripts to understand gene expression and functional activity of the microbiome, analyzes the RNA transcripts to understand gene expression and functional activity of the microbiome, investigates the metabolites produced by the microbiome and studies the entire set of proteins produced by the microbiome. NGS technology, the study of the micromyoma and its implications in the field of orthopedic trauma are innovative topics on which few publications are yet to be found in the international scientific literature. The costs are still high, the focus of research is maximum, and it will certainly change our approach to infections. Our study is an up-to-date review of the hot topic application of NGS in the study and investigation of periprosthetic infections and the microbiome. Full article
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<p>The design demonstrates the relationship between gut microbiota and bone metabolism.</p>
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17 pages, 6355 KiB  
Article
Strain Sensing in Cantilever Beams Using a Tapered PMF with Embedded Optical Modulation Region
by Xiaopeng Han, Xiaobin Bi, Yundong Zhang, Fan Wang, Siyu Lin, Wuliji Hasi, Chen Wang and Xueheng Yan
Photonics 2024, 11(10), 911; https://doi.org/10.3390/photonics11100911 - 27 Sep 2024
Viewed by 589
Abstract
This paper presents the design of a strain-sensitive, dual ball-shaped tunable zone (DBT) taper structure for light intensity modulation. Unlike conventional tapered optical fibers, the DBT incorporates a central light field modulation zone within the taper. By precisely controlling the fusion parameters between [...] Read more.
This paper presents the design of a strain-sensitive, dual ball-shaped tunable zone (DBT) taper structure for light intensity modulation. Unlike conventional tapered optical fibers, the DBT incorporates a central light field modulation zone within the taper. By precisely controlling the fusion parameters between single-mode fiber (SMF) and polarization-maintaining fiber (PMF), the ellipticity of the modulation zone can be finely adjusted, thereby optimizing spectral characteristics. Theoretical analysis based on polarization mode interference (PMI) coupling confirms that the DBT structure achieves a more uniform spectral response. In cantilever beam strain tests, the DBT exhibits high sensitivity and a highly linear intensity–strain response (R² = 0.99), with orthogonal linear polarization mode interference yielding sensitivities of 0.049 dB/με and 0.023 dB/με over the 0–244.33 με strain range. Leveraging the DBT’s light intensity sensitivity, a temperature-compensated intensity difference and ratio calculation method is proposed, effectively minimizing the influence of light source fluctuations on sensor performance and enabling high-precision strain measurements with errors as low as ±6 με under minor temperature variations. The DBT fiber device, combined with this innovative demodulation technique, is particularly suitable for precision optical sensing applications. The DBT structure, combined with the novel demodulation method, is particularly well-suited for high-precision and stable measurements in industrial monitoring, aerospace, civil engineering, and precision instruments for micro-deformation sensing. Full article
(This article belongs to the Special Issue Advances in Optical Fiber Sensing Technology)
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<p>Schematic diagram of the DBT structure.</p>
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<p>Optical field transmission simulations: (<b>a</b>) DT structure and (<b>b</b>) DBT structure. (<b>c</b>) Comparative analysis of fiber mode purity. (<b>d</b>) Analysis of the relationship between modulation region geometry and fiber mode purity.</p>
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<p>(<b>a</b>) DBT structure fabrication process. (<b>b</b>) CCD microscopic image of the DBT structure.</p>
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<p>Spectral comparison and CCD images of DT and DBT structures with different modulation region shapes.</p>
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<p>(<b>a</b>) FFT spectral analysis and mode interference analysis of the DBT-S3 structure. (<b>b</b>) IFFT spectral analysis of the DBT-S3 structure.</p>
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<p>Optical fiber cantilever beam strain measurement system.</p>
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<p>(<b>a</b>) Strain response of the DBT-S3 structure spectrum with spherical modulation regions. (<b>b</b>) Strain response of the polarization resonance dip in the x-p. (<b>c</b>) Strain response of the polarization resonance dip in the y-p. (<b>d</b>) Statistical analysis of the strain sensing response at the x and y polarization resonance dips.</p>
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<p>(<b>a</b>) Strain response of the spectrum for the DBT structure with vertical ellipsoidal modulation regions. (<b>b</b>) Strain response of the spectrum for the DBT structure with oblate spheroidal modulation regions. (<b>c</b>) Strain response of the spectrum for the standard concave conical DT structure. (<b>d</b>) Statistical analysis of the intensitystrain sensing response for various parameter structures.</p>
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<p>(<b>a</b>) Temperature response of the spectrum for the DBT structure with spherical modulation regions. (<b>b</b>) Statistical analysis of the temperature-sensing response at the polarization resonance dip.</p>
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<p>Schematic diagram of the temperature-compensated polarization-based intensity difference and ratio calculation framework.</p>
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<p>Statistical analysis of the light intensity and strain sensing after temperature compensation.</p>
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<p>Comparison of demodulation calculation calibration errors: (<b>a</b>) traditional feature point tracking with linear fittingand (<b>b</b>) temperature-compensated polarization-based intensity difference and ratio.</p>
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17 pages, 2821 KiB  
Article
On the Piezomagnetism of Magnetoactive Elastomeric Cylinders in Uniform Magnetic Fields: Height Modulation in the Vicinity of an Operating Point by Time-Harmonic Fields
by Gašper Glavan, Inna A. Belyaeva and Mikhail Shamonin
Polymers 2024, 16(19), 2706; https://doi.org/10.3390/polym16192706 - 25 Sep 2024
Viewed by 5000
Abstract
Soft magnetoactive elastomers (MAEs) are currently considered to be promising materials for actuators in soft robotics. Magnetically controlled actuators often operate in the vicinity of a bias point. Their dynamic properties can be characterized by the piezomagnetic strain coefficient, which is a ratio [...] Read more.
Soft magnetoactive elastomers (MAEs) are currently considered to be promising materials for actuators in soft robotics. Magnetically controlled actuators often operate in the vicinity of a bias point. Their dynamic properties can be characterized by the piezomagnetic strain coefficient, which is a ratio of the time-harmonic strain amplitude to the corresponding magnetic field strength. Herein, the dynamic strain response of a family of MAE cylinders to the time-harmonic (frequency of 0.1–2.5 Hz) magnetic fields of varying amplitude (12.5 kA/m–62.5 kA/m), superimposed on different bias magnetic fields (25–127 kA/m), is systematically investigated for the first time. Strain measurements are based on optical imaging with sub-pixel resolution. It is found that the dynamic strain response of MAEs is considerably different from that in conventional magnetostrictive polymer composites (MPCs), and it cannot be described by the effective piezomagnetic constant from the quasi-static measurements. The obtained maximum values of the piezomagnetic strain coefficient (∼102 nm/A) are one to two orders of magnitude higher than in conventional MPCs, but there is a significant phase lag (35–60°) in the magnetostrictive response with respect to an alternating magnetic field. The experimental dependencies of the characteristics of the alternating strain on the amplitude of the alternating field, bias field, oscillation frequency, and aspect ratio of cylinders are given for several representative examples. It is hypothesized that the main cause of observed peculiarities is the non-linear viscoelasticity of these composite materials. Full article
(This article belongs to the Special Issue Advances in Functional Rubber and Elastomer Composites II)
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Graphical abstract

Graphical abstract
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<p>Schematic diagram of the dynamic behavior of a conventional MS actuator driven by a time-harmonic magnetic field in the vicinity of a bias point (<math display="inline"><semantics> <mrow> <msub> <mi>H</mi> <mrow> <mi>D</mi> <mi>C</mi> </mrow> </msub> <mo>,</mo> <msub> <mi>λ</mi> <mrow> <mi>D</mi> <mi>C</mi> </mrow> </msub> </mrow> </semantics></math>). The red dash-dotted line denotes the tangent of the curve <math display="inline"><semantics> <mrow> <mi>λ</mi> <mo>(</mo> <mi>H</mi> <mo>)</mo> </mrow> </semantics></math> at point <math display="inline"><semantics> <mrow> <mi>H</mi> <mo>=</mo> <msub> <mi>H</mi> <mrow> <mi>D</mi> <mi>C</mi> </mrow> </msub> </mrow> </semantics></math>.</p>
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<p>(<b>a</b>) Schematic diagram of the experimental setup. (<b>b</b>) Images of an isotropic MAE cylinder with an iron content 75 wt% and an aspect ratio <math display="inline"><semantics> <msub> <mi mathvariant="sans-serif">Γ</mi> <mn>0</mn> </msub> </semantics></math> of <math display="inline"><semantics> <mrow> <mn>1.2</mn> </mrow> </semantics></math> in a zero magnetic field (<b>left</b> side) and in a maximum magnetic field (<b>right</b> side).</p>
Full article ">Figure 3
<p>Macroscopic deformation of an isotropic MAE cylinder with 75 wt% of Fe and an aspect ratio <math display="inline"><semantics> <mrow> <msub> <mi mathvariant="sans-serif">Γ</mi> <mn>0</mn> </msub> <mo>=</mo> <mn>1.2</mn> </mrow> </semantics></math>. Here and below, a line connecting experimental points serves as a guide to the eye. (<b>a</b>) Magnetostrictive hysteresis loops with additional minor loops due to superimposed oscillations of a magnetic field at different operation points. (<b>b</b>) Example of the transient response of magnetostrictive strain in a magnetic field (<a href="#FD1-polymers-16-02706" class="html-disp-formula">1</a>). The measured values are shown in blue, and the fitted sinusoidal function is shown as a red curve. The bias field of 77 kA/m was set at the time point of <math display="inline"><semantics> <mrow> <mi>t</mi> <mo>=</mo> <mn>60</mn> </mrow> </semantics></math> s. (<b>c</b>) Longitudinal strain <math display="inline"><semantics> <mi>λ</mi> </semantics></math> versus the momentary value of magnetic field for the case (<b>b</b>). The red ellipse demonstrates the result from the fitted function (<a href="#FD2-polymers-16-02706" class="html-disp-formula">2</a>). (<b>d</b>) Comparison of magnetostrictive response when magnetic field oscillations started with opposite phases (<math display="inline"><semantics> <msub> <mi>H</mi> <mrow> <mi>A</mi> <mi>C</mi> </mrow> </msub> </semantics></math> had the same magnitude, but it was either positive or negative). In (<b>b</b>–<b>d</b>), magnetic field oscillations had a frequency <span class="html-italic">f</span> of 1.0 Hz, an oscillation amplitude <math display="inline"><semantics> <msub> <mi>H</mi> <mrow> <mi>A</mi> <mi>C</mi> </mrow> </msub> </semantics></math> was 25 kA/m, and a bias magnetic field <math display="inline"><semantics> <msub> <mi>H</mi> <mrow> <mi>D</mi> <mi>C</mi> </mrow> </msub> </semantics></math> was 77 kA/m.</p>
Full article ">Figure 4
<p>Dependencies of different characteristics of the alternating strain <math display="inline"><semantics> <msub> <mi>λ</mi> <mo>∼</mo> </msub> </semantics></math> with a frequency <span class="html-italic">f</span> = 1.0 Hz on the magnitude of <math display="inline"><semantics> <msub> <mi>H</mi> <mrow> <mi>A</mi> <mi>C</mi> </mrow> </msub> </semantics></math> for isotropic MAE cylinders with three different weight fractions of Fe (70, 75, 80 wt%) and <math display="inline"><semantics> <mrow> <msub> <mi mathvariant="sans-serif">Γ</mi> <mn>0</mn> </msub> <mo>=</mo> <mn>1.2</mn> </mrow> </semantics></math> in ascending (“up”) or descending (“down”) bias field <math display="inline"><semantics> <mrow> <msub> <mi>H</mi> <mrow> <mi>D</mi> <mi>C</mi> </mrow> </msub> <mo>=</mo> <mn>77</mn> </mrow> </semantics></math> kA/m of a quasi-static magnetostrictive hysteresis loop. In all sub-figures, a specific line color refers to the same value of iron content and the same part of hysteresis loop (ascending/descending). (<b>a</b>) The amplitude of harmonic strain oscillation <math display="inline"><semantics> <msub> <mi>λ</mi> <mrow> <mi>A</mi> <mi>C</mi> </mrow> </msub> </semantics></math> versus <math display="inline"><semantics> <msub> <mi>H</mi> <mrow> <mi>A</mi> <mi>C</mi> </mrow> </msub> </semantics></math>. (<b>b</b>) Piezomagnetic coefficient <math display="inline"><semantics> <msub> <mi>d</mi> <mn>33</mn> </msub> </semantics></math> versus <math display="inline"><semantics> <msub> <mi>H</mi> <mrow> <mi>A</mi> <mi>C</mi> </mrow> </msub> </semantics></math>. (<b>c</b>) Phase lag <math display="inline"><semantics> <mi>ϕ</mi> </semantics></math> versus <math display="inline"><semantics> <msub> <mi>H</mi> <mrow> <mi>A</mi> <mi>C</mi> </mrow> </msub> </semantics></math>. (<b>d</b>) Lissajous figures for different values of <math display="inline"><semantics> <msub> <mi>H</mi> <mrow> <mi>A</mi> <mi>C</mi> </mrow> </msub> </semantics></math>. Continuous lines refer to <math display="inline"><semantics> <mrow> <msub> <mi>H</mi> <mrow> <mi>A</mi> <mi>C</mi> </mrow> </msub> <mo>=</mo> <mn>12.5</mn> </mrow> </semantics></math> kA/m, dashed lines refer to <math display="inline"><semantics> <mrow> <msub> <mi>H</mi> <mrow> <mi>A</mi> <mi>C</mi> </mrow> </msub> <mo>=</mo> <mn>37.5</mn> </mrow> </semantics></math> kA/m, and dash-dotted lines refer to <math display="inline"><semantics> <mrow> <msub> <mi>H</mi> <mrow> <mi>A</mi> <mi>C</mi> </mrow> </msub> <mo>=</mo> <mn>62.5</mn> </mrow> </semantics></math> kA/m.</p>
Full article ">Figure 5
<p>Dependencies of different characteristics of the alternating strain <math display="inline"><semantics> <msub> <mi>λ</mi> <mo>∼</mo> </msub> </semantics></math> with a frequency <span class="html-italic">f</span> = 1.0 Hz on the magnitude of <math display="inline"><semantics> <msub> <mi>H</mi> <mrow> <mi>D</mi> <mi>C</mi> </mrow> </msub> </semantics></math> for isotropic MAE cylinders with three different weight fractions of Fe (70, 75, 80 wt%), and <math display="inline"><semantics> <mrow> <msub> <mi mathvariant="sans-serif">Γ</mi> <mn>0</mn> </msub> <mo>=</mo> <mn>1.2</mn> </mrow> </semantics></math> in the ascending (“up”) or descending (“down”) bias field <math display="inline"><semantics> <msub> <mi>H</mi> <mrow> <mi>D</mi> <mi>C</mi> </mrow> </msub> </semantics></math> of a quasi-static magnetostrictive hysteresis loop. The value of <math display="inline"><semantics> <msub> <mi>H</mi> <mrow> <mi>A</mi> <mi>C</mi> </mrow> </msub> </semantics></math> is fixed at 25 kA/m. In all sub-figures, a specific line color refers to the same value of iron content and the same part of hysteresis loop (ascending/descending). (<b>a</b>) <math display="inline"><semantics> <msub> <mi>d</mi> <mn>33</mn> </msub> </semantics></math> versus <math display="inline"><semantics> <msub> <mi>H</mi> <mrow> <mi>D</mi> <mi>C</mi> </mrow> </msub> </semantics></math>. Dashed black line designates the position of the maximums of <span class="html-italic">d</span> for the descending part of the quasi-static hysteresis curves. (<b>b</b>) <span class="html-italic">d</span> versus <math display="inline"><semantics> <msub> <mi>H</mi> <mrow> <mi>D</mi> <mi>C</mi> </mrow> </msub> </semantics></math>, calculated as a finite central difference from experimental results of [<a href="#B41-polymers-16-02706" class="html-bibr">41</a>]. Black arrows designate the direction of field change. (<b>c</b>) Phase delay <math display="inline"><semantics> <mi>ϕ</mi> </semantics></math> versus <math display="inline"><semantics> <msub> <mi>H</mi> <mrow> <mi>D</mi> <mi>C</mi> </mrow> </msub> </semantics></math>. (<b>d</b>) Lissajous figures for different values of <math display="inline"><semantics> <msub> <mi>H</mi> <mrow> <mi>D</mi> <mi>C</mi> </mrow> </msub> </semantics></math>. Continuous lines refer to <math display="inline"><semantics> <mrow> <msub> <mi>H</mi> <mrow> <mi>D</mi> <mi>C</mi> </mrow> </msub> <mo>=</mo> <mn>52</mn> </mrow> </semantics></math> kA/m, dashed lines refer to <math display="inline"><semantics> <mrow> <msub> <mi>H</mi> <mrow> <mi>D</mi> <mi>C</mi> </mrow> </msub> <mo>=</mo> <mn>102</mn> </mrow> </semantics></math> kA/m, and dash-dotted lines refer to <math display="inline"><semantics> <mrow> <msub> <mi>H</mi> <mrow> <mi>D</mi> <mi>C</mi> </mrow> </msub> <mo>=</mo> <mn>25</mn> </mrow> </semantics></math> kA/m.</p>
Full article ">Figure 6
<p>Dependencies of different characteristics of the alternating strain <math display="inline"><semantics> <msub> <mi>λ</mi> <mo>∼</mo> </msub> </semantics></math> with a frequency <span class="html-italic">f</span> = 1.0 Hz on the magnitude of <math display="inline"><semantics> <msub> <mi>H</mi> <mrow> <mi>D</mi> <mi>C</mi> </mrow> </msub> </semantics></math> for anisotropic MAE cylinders with three different weight fractions of Fe (70, 75, 80 wt%), and <math display="inline"><semantics> <mrow> <msub> <mi mathvariant="sans-serif">Γ</mi> <mn>0</mn> </msub> <mo>=</mo> <mn>1.2</mn> </mrow> </semantics></math> in ascending (“up”) or descending (“down”) bias field <math display="inline"><semantics> <msub> <mi>H</mi> <mrow> <mi>D</mi> <mi>C</mi> </mrow> </msub> </semantics></math> of a quasi-static magnetostrictive hysteresis loop. The value of <math display="inline"><semantics> <msub> <mi>H</mi> <mrow> <mi>A</mi> <mi>C</mi> </mrow> </msub> </semantics></math> is fixed at 25 kA/m. In all sub-figures, a specific line color refers to the same value of iron content and the same part of hysteresis loop (ascending/descending). (<b>a</b>) <math display="inline"><semantics> <msub> <mi>d</mi> <mn>33</mn> </msub> </semantics></math> versus <math display="inline"><semantics> <msub> <mi>H</mi> <mrow> <mi>D</mi> <mi>C</mi> </mrow> </msub> </semantics></math>. (<b>b</b>) Phase delay <math display="inline"><semantics> <mi>ϕ</mi> </semantics></math> versus <math display="inline"><semantics> <msub> <mi>H</mi> <mrow> <mi>D</mi> <mi>C</mi> </mrow> </msub> </semantics></math>. (<b>c</b>) Lissajous figures for different values of ascending (“up”) bias field <math display="inline"><semantics> <msub> <mi>H</mi> <mrow> <mi>D</mi> <mi>C</mi> </mrow> </msub> </semantics></math>. (<b>d</b>) Lissajous figures for different values of descending (“down”) bias field <math display="inline"><semantics> <msub> <mi>H</mi> <mrow> <mi>D</mi> <mi>C</mi> </mrow> </msub> </semantics></math>.</p>
Full article ">Figure 7
<p>Dependencies of different characteristics of the alternating strain <math display="inline"><semantics> <msub> <mi>λ</mi> <mo>∼</mo> </msub> </semantics></math> on the oscillation frequency <span class="html-italic">f</span> for isotropic MAE cylinders with three different weight fractions of Fe (70, 75, 80 wt%) and <math display="inline"><semantics> <mrow> <msub> <mi mathvariant="sans-serif">Γ</mi> <mn>0</mn> </msub> <mo>=</mo> <mn>1.2</mn> </mrow> </semantics></math> in ascending (“up”) or descending (“down”) bias field of a quasi-static magnetostrictive hysteresis loop. The value of <math display="inline"><semantics> <msub> <mi>H</mi> <mrow> <mi>A</mi> <mi>C</mi> </mrow> </msub> </semantics></math> is fixed at 25 kA/m. The value of <math display="inline"><semantics> <msub> <mi>H</mi> <mrow> <mi>D</mi> <mi>C</mi> </mrow> </msub> </semantics></math> is fixed at 77 kA/m. In all sub-figures, a specific line color refers to the same value of iron content and the same part of the hysteresis loop (ascending/descending). (<b>a</b>) <math display="inline"><semantics> <msub> <mi>d</mi> <mn>33</mn> </msub> </semantics></math> versus <span class="html-italic">f</span>. (<b>b</b>) Phase delay <math display="inline"><semantics> <mi>ϕ</mi> </semantics></math> versus <span class="html-italic">f</span>. (<b>c</b>) Lissajous figures for different values of frequency <span class="html-italic">f</span> in an ascending (“up”) bias field <math display="inline"><semantics> <msub> <mi>H</mi> <mrow> <mi>D</mi> <mi>C</mi> </mrow> </msub> </semantics></math> of 77 kA/m. (<b>d</b>) Lissajous figures for different values of frequency <span class="html-italic">f</span> in a descending (“down”) bias field <math display="inline"><semantics> <msub> <mi>H</mi> <mrow> <mi>D</mi> <mi>C</mi> </mrow> </msub> </semantics></math> of 77 kA/m.</p>
Full article ">Figure 8
<p>Dependencies of different characteristics of the alternating strain <math display="inline"><semantics> <msub> <mi>λ</mi> <mo>∼</mo> </msub> </semantics></math> on the aspect ratio <math display="inline"><semantics> <msub> <mi mathvariant="sans-serif">Γ</mi> <mn>0</mn> </msub> </semantics></math> for isotropic MAE cylinders with 75 wt% of Fe in ascending (“up”) or descending (“down”) bias field of a quasi-static magnetostrictive hysteresis loop. The value of <math display="inline"><semantics> <msub> <mi>H</mi> <mrow> <mi>A</mi> <mi>C</mi> </mrow> </msub> </semantics></math> is fixed at 25 kA/m. The value of <math display="inline"><semantics> <msub> <mi>H</mi> <mrow> <mi>D</mi> <mi>C</mi> </mrow> </msub> </semantics></math> is fixed at 77 kA/m. The frequency <span class="html-italic">f</span> is fixed at 1.0 Hz. In all sub-figures, a specific line color refers to the same part of the hysteresis loop (ascending/descending). (<b>a</b>) <math display="inline"><semantics> <msub> <mi>d</mi> <mn>33</mn> </msub> </semantics></math> versus <math display="inline"><semantics> <msub> <mi mathvariant="sans-serif">Γ</mi> <mn>0</mn> </msub> </semantics></math>. (<b>b</b>) Phase delay <math display="inline"><semantics> <mi>ϕ</mi> </semantics></math> versus aspect ratio <math display="inline"><semantics> <msub> <mi mathvariant="sans-serif">Γ</mi> <mn>0</mn> </msub> </semantics></math>. (<b>c</b>) Lissajous figures for different aspect ratios <math display="inline"><semantics> <msub> <mi mathvariant="sans-serif">Γ</mi> <mn>0</mn> </msub> </semantics></math> in an ascending (“up”) bias field <math display="inline"><semantics> <msub> <mi>H</mi> <mrow> <mi>D</mi> <mi>C</mi> </mrow> </msub> </semantics></math> of 77 kA/m. (<b>d</b>) Lissajous figures for different aspect ratios <math display="inline"><semantics> <msub> <mi mathvariant="sans-serif">Γ</mi> <mn>0</mn> </msub> </semantics></math> in a descending (“down”) bias field <math display="inline"><semantics> <msub> <mi>H</mi> <mrow> <mi>D</mi> <mi>C</mi> </mrow> </msub> </semantics></math> of 77 kA/m. Dash-dotted lines correspond to <math display="inline"><semantics> <mrow> <msub> <mi mathvariant="sans-serif">Γ</mi> <mn>0</mn> </msub> <mo>=</mo> <mn>0.4</mn> </mrow> </semantics></math>, continuous lines correspond to <math display="inline"><semantics> <mrow> <msub> <mi mathvariant="sans-serif">Γ</mi> <mn>0</mn> </msub> <mo>=</mo> <mn>0.8</mn> </mrow> </semantics></math>, and dashed lines correspond to <math display="inline"><semantics> <mrow> <msub> <mi mathvariant="sans-serif">Γ</mi> <mn>0</mn> </msub> <mo>=</mo> <mn>1.2</mn> </mrow> </semantics></math>.</p>
Full article ">Figure A1
<p>Time dependencies of the longitudinal strain (blue curve) for harmonic magnetic field modulations (orange curve) when the DC magnetic field is increasing (<b>a</b>) and when it is decreasing (<b>b</b>). Parameters of the sample and measurement conditions are given within the figures.</p>
Full article ">Figure A2
<p>Magnetostrictive response to oscillating magnetic field when the bias magnetic field is increasing (<b>a</b>) and when the bias field is decreasing (<b>b</b>). Blue dots and lines refer to the positive value of <math display="inline"><semantics> <mrow> <msub> <mi>H</mi> <mrow> <mi>A</mi> <mi>C</mi> </mrow> </msub> <mo>=</mo> <mn>25</mn> </mrow> </semantics></math> kA/m, and orange dots and lines refer to the negative value of <math display="inline"><semantics> <mrow> <msub> <mi>H</mi> <mrow> <mi>A</mi> <mi>C</mi> </mrow> </msub> <mo>=</mo> <mo>−</mo> <mn>25</mn> </mrow> </semantics></math> kA/m. Parameters of the sample and measurement conditions are given within the figures.</p>
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19 pages, 7437 KiB  
Article
Comparative Study on Growth and Metabolomic Profiles of Six Lactobacilli Strains by Sodium Selenite
by Longrui Wang, Jiasheng Ju, Huichun Xie, Feng Qiao, Qiaoyu Luo and Lianyu Zhou
Microorganisms 2024, 12(10), 1937; https://doi.org/10.3390/microorganisms12101937 - 24 Sep 2024
Viewed by 530
Abstract
Selenium (Se) has garnered increasing attention in the field of nutrition, as it is essential for both humans and animals. Certain microorganisms can enrich inorganic selenium and convert it into organic selenium. The growth and metabolomic profiles of six lactobacilli strains exposed to [...] Read more.
Selenium (Se) has garnered increasing attention in the field of nutrition, as it is essential for both humans and animals. Certain microorganisms can enrich inorganic selenium and convert it into organic selenium. The growth and metabolomic profiles of six lactobacilli strains exposed to 50 μg/mL of sodium selenite were performed using gas chromatography tandem time-off light mass spectrometry (GC-TOF-MS) analysis. The addition of selenium significantly increased both the population and weight of the Lacticaseibacillus rhamnosus PS5, Lbs. rhamnosus RT-B, Limosilactobacillus reuteri 3630, and Lmb. reuteri 1663 strains, while those of the other two strains decreased. A total of 271 metabolites were determined, with their concentrations ranked from highest to lowest as follows: organic acids and derivatives, oxygen compounds, lipids and lipid-like molecules, and benzenoids. In certain groups, the concentrations of serine, aspartic acid, trehalose, palmitic acid, methylthreonine, and melibiose increased significantly, whereas glucuronic acid, ribose, ornithine, and methionine were downregulated. The metabolic pathways were significantly associated with ABC transporters, glycine, serine, threonine metabolism, and aminobenzoate degradation and other pathways. Based on these findings, we concluded that the transport, absorption, assimilation, and stress response to selenium by lactobacilli in metabolomic changed. Furthermore, the metabolomic alterations among different types of lactobacilli varied primarily due to their distinct properties. Full article
(This article belongs to the Section Food Microbiology)
Show Figures

Figure 1

Figure 1
<p>Pie plot of metabolite classification and proportion of metabolites found in the strain samples.</p>
Full article ">Figure 2
<p>Principle component analysis (PCA) score plot of first, second, and third PCs from 12 lactobacilli strain samples. PC1: the first principal component; PC2: the second principal component; PC3: the third principal component. FGCK, LBCK, RSCK, SSCK, StCK, and WXCK represent strains grown without Se. FGSe, LBSe, RSSe, SSSe, StSe, and WXSe represent strains grown in the presence of selenium.</p>
Full article ">Figure 3
<p>Heatmap and hierarchical cluster analysis for the 272 metabolites in the lactobacilli strain samples. The abscissa represents the different sample groups, the ordinate represents all metabolites, and the color blocks at different positions represent the correspondence and the relative expression of the metabolite at the location; red indicates high expression of the substance, and blue indicates low expression of the substance (see scale bar). RSCK-1_1, RSCK-2_1, RSCK-3_1, and RSSe-1_1, RSSe-2_1, RSSe-3_1 represent three parallel control groups without selenium addition and three 50 µg/mL selenium-added parallel control groups in the RS group, respectively, and so on.</p>
Full article ">Figure 4
<p>Marked metabolites in heatmap of hierarchical clustering analysis for groups without selenium (CK) vs. 50 µg/mL selenium-added groups (Se). Red and blue blocks indicate higher and lower metabolite levels, respectively (see scale bar). The subfigures (<b>a</b>–<b>f</b>) represent the results before and after the addition of selenium comparison of the strains of FG, LB, RS, SS, St, and WX, respectively.</p>
Full article ">Figure 4 Cont.
<p>Marked metabolites in heatmap of hierarchical clustering analysis for groups without selenium (CK) vs. 50 µg/mL selenium-added groups (Se). Red and blue blocks indicate higher and lower metabolite levels, respectively (see scale bar). The subfigures (<b>a</b>–<b>f</b>) represent the results before and after the addition of selenium comparison of the strains of FG, LB, RS, SS, St, and WX, respectively.</p>
Full article ">Figure 5
<p>Venn analysis for six strains with and without Se. Each dot represents a group, and the Set Size corresponding to each dot represents the number of metabolites contained in the group. The dot connections corresponding to the abscissa of the column chart represent the comparisons of the groups, and the ordinate shows the number of differential metabolites shared by each group. LBCK-SSLB, FGCK-FGSe, WXCK-WXSe, StCK-StSe, SSCK-SSSe, and RSCK-RSSe represent the comparison of the results before and after the addition of selenium for the strains of LB, FG, WX, St, SS, and RS, respectively.</p>
Full article ">Figure 6
<p>KEGG classification for group FGCK vs. FGSe (<b>a</b>), LBCK vs. LBSe (<b>b</b>), RSCK vs. RSSe (<b>c</b>), SSCK vs. SSSe (<b>d</b>), StCK vs. StSe (<b>e</b>), and WXCK vs. WXSe (<b>f</b>) in sequence. The abscissa represents the percentage of the number of annotated differential metabolites in a pathway compared to the number of all annotated differential metabolites, and the ordinate represents the name of the enriched KEGG metabolic pathway.</p>
Full article ">Figure 6 Cont.
<p>KEGG classification for group FGCK vs. FGSe (<b>a</b>), LBCK vs. LBSe (<b>b</b>), RSCK vs. RSSe (<b>c</b>), SSCK vs. SSSe (<b>d</b>), StCK vs. StSe (<b>e</b>), and WXCK vs. WXSe (<b>f</b>) in sequence. The abscissa represents the percentage of the number of annotated differential metabolites in a pathway compared to the number of all annotated differential metabolites, and the ordinate represents the name of the enriched KEGG metabolic pathway.</p>
Full article ">Figure 6 Cont.
<p>KEGG classification for group FGCK vs. FGSe (<b>a</b>), LBCK vs. LBSe (<b>b</b>), RSCK vs. RSSe (<b>c</b>), SSCK vs. SSSe (<b>d</b>), StCK vs. StSe (<b>e</b>), and WXCK vs. WXSe (<b>f</b>) in sequence. The abscissa represents the percentage of the number of annotated differential metabolites in a pathway compared to the number of all annotated differential metabolites, and the ordinate represents the name of the enriched KEGG metabolic pathway.</p>
Full article ">Figure 6 Cont.
<p>KEGG classification for group FGCK vs. FGSe (<b>a</b>), LBCK vs. LBSe (<b>b</b>), RSCK vs. RSSe (<b>c</b>), SSCK vs. SSSe (<b>d</b>), StCK vs. StSe (<b>e</b>), and WXCK vs. WXSe (<b>f</b>) in sequence. The abscissa represents the percentage of the number of annotated differential metabolites in a pathway compared to the number of all annotated differential metabolites, and the ordinate represents the name of the enriched KEGG metabolic pathway.</p>
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14 pages, 2174 KiB  
Article
Metabolome Shift in Centella asiatica Leaves Induced by the Novel Plant Growth-Promoting Rhizobacterium, Priestia megaterium HyangYak-01
by Min-Chul Kim, HyungWoo Jo, Kyeongmo Lim, Ikwhan Kim, Hye-Been Kim, Sol Kim, Younhwa Nho, Misun Kim, Hyeyoun Kim, Chaeyun Baek, Young Mok Heo, Haeun Lee, Seunghyun Kang, Dong-Geol Lee, Kyudong Han and Jae-Ho Shin
Plants 2024, 13(18), 2636; https://doi.org/10.3390/plants13182636 - 21 Sep 2024
Viewed by 780
Abstract
Centella asiatica, a traditional herb, is widely recognized for its pharmacologically active components, such as asiaticoside, madecassoside, asiatic acid, and madecassic acid. These components render it a highly sought-after ingredient in various industries, including cosmetics and pharmaceuticals. This study aimed to enhance [...] Read more.
Centella asiatica, a traditional herb, is widely recognized for its pharmacologically active components, such as asiaticoside, madecassoside, asiatic acid, and madecassic acid. These components render it a highly sought-after ingredient in various industries, including cosmetics and pharmaceuticals. This study aimed to enhance the production and activity of these pharmacological constituents of C. asiatica using the plant growth-promoting rhizobacterium Priestia megaterium HyangYak-01 during its cultivation. To achieve this goal, the researchers conducted field experiments, which revealed an increase in the production of pharmacologically active compounds in C. asiatica cultivated with a P. megaterium HyangYak-01 culture solution. Additionally, quadrupole time-of-flight mass spectrometry (Q-TOF MS) confirmed that the composition ratios of the C. asiatica extract treated with the P. megaterium HyangYak-01 culture solution differed from those of the untreated control and type strain-treated groups. Skin cell experiments indicated that the C. asiatica extract treated with the P. megaterium HyangYak-01 culture solution exhibited greater skin barrier improvement and less pronounced inflammatory responses than those from plants grown without the bacterial culture solution. This study demonstrates that microbial treatment during plant cultivation can beneficially influence the production of pharmacological constituents, suggesting a valuable approach toward enhancing the therapeutic properties of plants. Full article
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<p>Phenotypical parameters of <span class="html-italic">C. asiatica</span> across the different experimental groups. (<b>A</b>) Chlorophyll content, (<b>B</b>) leaf fresh weight, (<b>C</b>) leaf dry weight, (<b>D</b>) root length, (<b>E</b>) root fresh weight, and (<b>F</b>) root dry weight. Student’s <span class="html-italic">t</span>-test was used for statistical calculations; NS <span class="html-italic">p</span> &gt; 0.05, * <span class="html-italic">p</span> ≤ 0.05, ** <span class="html-italic">p</span> ≤ 0.01, and *** <span class="html-italic">p</span> ≤ 0.001.</p>
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<p>Untargeted metabolomic analysis results. Principal component analysis results of (<b>A</b>) ESI<sup>+</sup> and (<b>B</b>) ESI<sup>−</sup> and orthogonal partial least squares discriminant analysis results of (<b>C</b>) ESI<sup>+</sup> and (<b>D</b>) ESI<sup>−</sup>.</p>
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<p>Top 50 differentially abundant metabolites in both (<b>A</b>) ESI<sup>+</sup> and (<b>B</b>) ESI<sup>−</sup> modes.</p>
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<p>Relative quantification of main bioactive compounds and fold change values of categorized metabolites. Quantification results for asiatic acid (<b>A</b>), asiaticoside (<b>B</b>), and madecassoside (<b>C</b>). Metabolites were classified by their class and compared between groups (<b>D</b>).</p>
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<p>Cell experiment results following <span class="html-italic">C. asiatica</span> leaf extract treatment. The relative mRNA expression levels of (<b>A</b>) FLG and (<b>B</b>) CLDN1 were analyzed for their skin barrier improvement and moisturizing effects and those of (<b>C</b>) IL-1α and (<b>D</b>) IL-1β for their anti-inflammatory properties; <span class="html-italic">p</span> &gt; 0.05, * <span class="html-italic">p</span> ≤ 0.05, ** <span class="html-italic">p</span> ≤ 0.01, *** <span class="html-italic">p</span> ≤ 0.001, and **** <span class="html-italic">p</span> ≤ 0.0001.</p>
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21 pages, 24384 KiB  
Article
Analysis of Failure Mechanism of Medium-Steep Bedding Rock Slopes under Seismic Action
by Xiuhong Zheng, Qihua Zhao, Sheqin Peng, Longke Wu, Yanghao Dou and Kuangyu Chen
Sustainability 2024, 16(17), 7729; https://doi.org/10.3390/su16177729 - 5 Sep 2024
Viewed by 553
Abstract
Medium-steep bedding rock slopes (MBRSs) are generally considered relatively stable, because the dip angle of the rock layers (45–55°) is larger than the slope angle (40–45°). However, the stability of MBRSs was significantly impacted during the 1933 Diexi earthquake, leading to slope instability. [...] Read more.
Medium-steep bedding rock slopes (MBRSs) are generally considered relatively stable, because the dip angle of the rock layers (45–55°) is larger than the slope angle (40–45°). However, the stability of MBRSs was significantly impacted during the 1933 Diexi earthquake, leading to slope instability. Field investigations revealed that no continuous sliding surface was recognized in the failure slopes. Instead, the source areas of landslides present a “reverse steps” feature, where the step surfaces are perpendicular to the bedding surface, and their normal directions point towards the crest of the slopes. These orientations of “reverse steps” differ significantly from those of steps formed under static conditions, which makes it difficult to explain the phenomenon using traditional failure mechanism of the slope. Therefore, a large-scale shaking table test was conducted to replicate the deformation and failure processes of MBRSs under seismic action. The test revealed the elevation amplification effect, where the amplification factors of the acceleration increased with increasing elevation. As the amplitude of the input seismic wave increased, the acceleration amplification factor initially rose and subsequently decreased with the increase in the shear strain of the rock mass. The dynamic response of the slope under Z-direction seismic waves is stronger than that under X-direction seismic waves. The deformation and failure were mainly concentrated in the upper part of the slope, which was in good agreement with the field observations. Based on these findings, the deformation and failure mechanism of MBRSs was analyzed by considering both the spatial relationship between the seismogenic fault and the slope, and the propagation characteristics of seismic waves along the slope. The seismic failure mode of MBRSs in the study area was characterized as flexural–tensile failure. This work can provide a reference for post-earthquake disaster investigation, as well as disaster prevention and mitigation, in seismically active regions. Full article
(This article belongs to the Special Issue Sustainability in Natural Hazards Mitigation and Landslide Research)
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<p>Geological overview map of the study area. The basic geological maps are sourced from the 1:200,000 geological maps [<a href="#B4-sustainability-16-07729" class="html-bibr">4</a>,<a href="#B5-sustainability-16-07729" class="html-bibr">5</a>]; the Songpinggou Fault is based on Zhao et al. [<a href="#B6-sustainability-16-07729" class="html-bibr">6</a>].</p>
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<p>Geological structures and historical earthquakes near study area. (Adapted from Ren et al. [<a href="#B25-sustainability-16-07729" class="html-bibr">25</a>] and Pei et al. [<a href="#B26-sustainability-16-07729" class="html-bibr">26</a>]).</p>
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<p>Schematic diagram of “reverse step” at the rear edge of landslide.</p>
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<p>“Reverse steps” at the rear edge of the SPVE landslide (A and B are the failure areas). (<b>a</b>–<b>c</b>) Aerial 3D images (0.2 m resolution) captured by an unmanned aerial vehicle (UAV). (<b>d</b>,<b>e</b>) Digital elevation model (DEM) images (Gauss–Krüger projection, 0.2 m resolution) captured by an UAV. These images are provided by Sichuan Metallurgical Geological Survey and Design Group Co., Ltd., Chendu, China.</p>
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<p>Small steps at the rear edge of the SPVE landslide. (<b>a</b>) Digital Orthophoto Map (DOM) (Gauss–Krüger projection, 0.2 m resolution). (<b>b</b>) Sketch drawing. (<b>c</b>) Strike rosette plot of steps. Aerial orthophoto image was provided by Sichuan Metallurgical Geological Survey and Design Group Co., Ltd., Chendu, China.</p>
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<p>Geological cross-section along line I-I′ of the SPVE landslide (A and B are the failure areas). Aerial 3D image (0.2 m resolution) was provided by Sichuan Metallurgical Geological Survey and Design Group Co., Ltd., Chendu, China.</p>
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<p>Schematic diagram of steps. (<b>a</b>) Steps formed under static conditions (red arrow indicates the direction of movement). (<b>b</b>) “Reverse steps” in the source areas of the SPVE landslide.</p>
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<p>Sketch of the model slope and layout of the accelerometers (unit: mm).</p>
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<p>Main process of making the model. (<b>a</b>) Sketching the outline of the model. (<b>b</b>) Scraping the surface. (<b>c</b>) Covering with plastic film.</p>
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<p>Lateral view of model slopes.</p>
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<p>Acceleration time history and Fourier spectrum of the <span class="html-italic">DX</span> wave in both the <span class="html-italic">SN</span> and <span class="html-italic">UD</span> directions.</p>
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<p>Location map of test model and data acquisition equipment.</p>
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<p>Illustration and photographs of slope deformation under the excitation of a 0.2 g sine wave (A–D indicate the numbered black discolorations).</p>
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<p>Curve of amplification factor with elevation under the excitation of seismic waves with amplitudes of 0.1 g and 0.2 g.</p>
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<p>Transfer function curve of the model slope under white noise excitations.</p>
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<p>Illustration and photographs of slope deformations under the excitation of DX waves with amplitudes ranging from 0.4 g to 0.6 g.</p>
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<p>Illustration and photographs of the slope deformations under the excitation of sine waves with amplitudes ranging from 0.3 g to 0.5 g.</p>
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<p>Curve of the amplification factor with elevation under the excitation of seismic waves with different amplitudes.</p>
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<p>Illustration and photographs of the slope deformation under the excitation of a 0.6 g sine wave. (<b>a</b>) Schematic diagram of the model. (<b>b</b>) Exposed bedding planes. (<b>c</b>) The scarp at the rear of the failure area. (<b>d</b>) Partial surface spalling of the model. (<b>e</b>) Landslide deposit.</p>
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<p>Contour maps of AAFs under the loading of <span class="html-italic">DX</span> waves in different directions. (<b>a</b>) Horizontal (<span class="html-italic">X</span>) direction. (<b>b</b>) Vertical (<span class="html-italic">Z</span>) direction.</p>
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<p>Deformation and failure process of the MBRSs under seismic action. (<b>a</b>) Bending of rock layers towards the free face. (<b>b</b>) Fracture of rock layers. (<b>c</b>) Slope failure (arrow indicates the direction of movement).</p>
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12 pages, 1580 KiB  
Review
Response of Escherichia coli to Acid Stress: Mechanisms and Applications—A Narrative Review
by Zepeng Li, Zhaosong Huang and Pengfei Gu
Microorganisms 2024, 12(9), 1774; https://doi.org/10.3390/microorganisms12091774 - 28 Aug 2024
Viewed by 1700
Abstract
Change in pH in growth conditions is the primary stress for most neutralophilic bacteria, including model microorganism Escherichia coli. However, different survival capacities under acid stress in different bacteria are ubiquitous. Research on different acid-tolerance mechanisms in microorganisms is important for the [...] Read more.
Change in pH in growth conditions is the primary stress for most neutralophilic bacteria, including model microorganism Escherichia coli. However, different survival capacities under acid stress in different bacteria are ubiquitous. Research on different acid-tolerance mechanisms in microorganisms is important for the field of combating harmful gut bacteria and promoting fermentation performance of industrial strains. Therefore, this study aimed to carry out a narrative review of acid-stress response mechanism of E. coli discovered so far, including six AR systems, cell membrane protection, and macromolecular repair. In addition, the application of acid-tolerant E. coli in industry was illustrated, such as production of industrial organic acid and developing bioprocessing for industrial wastes. Identifying these aspects will open the opportunity for discussing development aspects for subsequent research of acid-tolerant mechanisms and application in E. coli. Full article
(This article belongs to the Special Issue Microorganisms: A Way Forward for Sustainable Development?)
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<p>Schematic diagram of the acid-resistance system of <span class="html-italic">Escherichia coli</span> and its regulatory network.</p>
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<p>Protection and repair mechanism of acid-resistant cells in <span class="html-italic">Escherichia coli</span>. (<b>A</b>) Protection of cell membrane. (<b>B</b>) Repair of macromolecule.</p>
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<p>Acid-resistant <span class="html-italic">Escherichia coli</span> in industry.</p>
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27 pages, 23720 KiB  
Article
Assessment of Digital Image Correlation Effectiveness and Quality in Determination of Surface Strains of Hybrid Steel/Composite Structures
by Paweł J. Romanowicz, Bogdan Szybiński and Mateusz Wygoda
Materials 2024, 17(14), 3561; https://doi.org/10.3390/ma17143561 - 18 Jul 2024
Viewed by 960
Abstract
The application of the digital image correlation (DIC) contactless method has extended the possibilities of reliable assessment of structure strain fields and deformations throughout the last years. However, certain weak points in the analyses using the DIC method still exist. The fluctuations of [...] Read more.
The application of the digital image correlation (DIC) contactless method has extended the possibilities of reliable assessment of structure strain fields and deformations throughout the last years. However, certain weak points in the analyses using the DIC method still exist. The fluctuations of the results caused by different factors as well as certain deficiencies in the evaluation of DIC accuracy in applications for hybrid steel/composite structures with adhesive joints are one of them. In the proposed paper, the assessment of DIC accuracy based on the range of strain fluctuation is proposed. This relies on the use of a polynomial approximation imposed on the results obtained from the DIC method. Such a proposal has been used for a certain correction of the DIC solution and has been verified by the introduction of different error measures. The evaluation of DIC possibilities and accuracy are presented on the examples of the static tensile tests of adhesively bonded steel/composite joints with three different adhesives applied. The obtained results clearly show that in a non-disturbed area, very good agreement between approximated DIC and FEM results is achieved. The relative average errors in an area, determined by comparison of DIC and FEM strains, are below 15%. It is also observed that the use of approximated strains by polynomial function leads to a more accurate solution with respect to FEM results. It is concluded that DIC can be successfully applied for the analyses of hybrid steel/adhesive/composite samples, such as determination of strain fields, non-contact visual detection of faults of manufacturing and their development and influence on the whole structure behavior during the strength tests, including the elastic response of materials. Full article
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<p>Illustration of the principle of DIC method operation with a reference subset (<b>left-hand side</b>) and an evaluated target subset (<b>right-hand side</b>).</p>
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<p>Geometry of tested samples, location of paths 1–3, and definition of axis <span class="html-italic">x</span>.</p>
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<p>Photographs of tested samples: (<b>a</b>) after gluing before painting and with speckle patterns applied, (<b>b</b>) 1_S&amp;P220, (<b>c</b>) 2_DP6310NS, and (<b>d</b>) 3_HY4080GY.</p>
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<p>DIC measurement and analysis system: (<b>a</b>) flowchart with applied methodology and (<b>b</b>) photo of the measurement system.</p>
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<p>General view of the model: (<b>a</b>) quarter part of the investigated structure and (<b>b</b>) magnification of the zone with a rectangular hole.</p>
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<p>Finite element model with mesh and boundary conditions applied: (<b>a</b>) quarter part of the investigated structure and (<b>b</b>) magnification of the zone with a rectangular hole.</p>
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<p>Scheme of sample thickness measurements.</p>
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<p>Distribution of average thickness of adhesive layer in sample: (<b>a</b>) 1_S&amp;P220, (<b>b</b>) 2_DP6310NS, and (<b>c</b>) 3_HY4080GY.</p>
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<p>Exemplary results of the convergence study for the 3_HY4080GY sample.</p>
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<p>Distribution of equivalent von Mises stress (3_HY4080GY): (<b>a</b>) quarter part of the investigated structure and (<b>b</b>) magnification of the zone with a rectangular hole.</p>
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<p>Distribution of total mechanical surface strains <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>ε</mi> </mrow> <mrow> <mi>x</mi> </mrow> </msub> </mrow> </semantics></math> (DIC) for sample 1_S&amp;P220 and tensile force <span class="html-italic">F</span> equal to: (<b>a</b>) 20 kN, (<b>b</b>) 30 kN, (<b>c</b>) 40 kN, and (<b>d</b>) 47.5 kN.</p>
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<p>Distribution of total mechanical surface strains <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>ε</mi> </mrow> <mrow> <mi>x</mi> </mrow> </msub> </mrow> </semantics></math> (DIC) for sample 2_DP6310NS and tensile force <span class="html-italic">F</span> equal to: (<b>a</b>) 20 kN, (<b>b</b>) 30 kN, (<b>c</b>) 40 kN, and (<b>d</b>) 47.5 kN.</p>
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<p>Distribution of total mechanical surface strains <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>ε</mi> </mrow> <mrow> <mi>x</mi> </mrow> </msub> </mrow> </semantics></math> (DIC) for sample 3_HY4080GY and tensile force <span class="html-italic">F</span> equal to: (<b>a</b>) 20 kN, (<b>b</b>) 30 kN, (<b>c</b>) 40 kN, and (<b>d</b>) 47.5 kN.</p>
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<p>Comparison of DIC and FEM results (total mechanical strain <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>ε</mi> </mrow> <mrow> <mi>x</mi> </mrow> </msub> </mrow> </semantics></math>) for maximal static load <span class="html-italic">F</span> = 47.5 kN for strengthened specimens with applied adhesive: (<b>a</b>) S&amp;P Resin 220, (<b>b</b>) DP6310NS, (<b>c</b>) HY4080GY, and (<b>d</b>) strain legend.</p>
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<p>Distributions of calculated (FEM) and measured (DIC) total mechanical strains on the surface of the sample with S&amp;P Resin 220 adhesive.</p>
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<p>Distributions of calculated (FEM) and measured (DIC) total mechanical strains on the surface of the sample with DP6310NS adhesive.</p>
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<p>Distributions of calculated (FEM) and measured (DIC) total mechanical strains on the surface of the sample with HY4080GY adhesive.</p>
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<p>Comparison of calculated (FEM) and measured (DIC) and approximated (DIC) total mechanical strains on the surface of the sample with S&amp;P Resin 220 adhesive.</p>
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<p>Comparison of calculated (FEM) and measured (DIC) and approximated (DIC) total mechanical strains on the surface of the sample with DP6310NS adhesive.</p>
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<p>Comparison of calculated (FEM) and measured (DIC) and approximated (DIC) total mechanical strains on the surface of the sample with HY4080GY adhesive.</p>
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<p>Distribution of error <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>E</mi> <mi>R</mi> <mi>R</mi> </mrow> <mrow> <mn>1</mn> </mrow> </msub> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>E</mi> <mi>R</mi> <mi>R</mi> </mrow> <mrow> <mn>2</mn> </mrow> </msub> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>E</mi> <mi>R</mi> <mi>R</mi> </mrow> <mrow> <mn>3</mn> </mrow> </msub> </mrow> </semantics></math> parameters for sample 1_S&amp;P220: (<b>a</b>) path 1—overlay 1, (<b>b</b>) path 3—overlay 2, and (<b>c</b>) path 2—core.</p>
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<p>Distribution of error <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>E</mi> <mi>R</mi> <mi>R</mi> </mrow> <mrow> <mn>1</mn> </mrow> </msub> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>E</mi> <mi>R</mi> <mi>R</mi> </mrow> <mrow> <mn>2</mn> </mrow> </msub> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>E</mi> <mi>R</mi> <mi>R</mi> </mrow> <mrow> <mn>3</mn> </mrow> </msub> </mrow> </semantics></math> parameters for sample 2_DP6310NS: (<b>a</b>) path 1—overlay 1, (<b>b</b>) path 3—overlay 2, and (<b>c</b>) path 2—core.</p>
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<p>Distribution of error <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>E</mi> <mi>R</mi> <mi>R</mi> </mrow> <mrow> <mn>1</mn> </mrow> </msub> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>E</mi> <mi>R</mi> <mi>R</mi> </mrow> <mrow> <mn>2</mn> </mrow> </msub> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>E</mi> <mi>R</mi> <mi>R</mi> </mrow> <mrow> <mn>3</mn> </mrow> </msub> </mrow> </semantics></math> parameters for sample 3_HY4080GY: (<b>a</b>) path 1—overlay 1, (<b>b</b>) path 3—overlay 2, and (<b>c</b>) path 2—core.</p>
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<p>Distribution of errors <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>E</mi> <mi>R</mi> <mi>R</mi> </mrow> <mrow> <mn>1</mn> </mrow> </msub> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>E</mi> <mi>R</mi> <mi>R</mi> </mrow> <mrow> <mn>2</mn> </mrow> </msub> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>E</mi> <mi>R</mi> <mi>R</mi> </mrow> <mrow> <mn>3</mn> </mrow> </msub> </mrow> </semantics></math> in steel core in sample: (<b>a</b>) 1_S&amp;P220, (<b>b</b>) 2_DP6310NS, and (<b>c</b>) 3_HY4080GY.</p>
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<p>Distribution of errors <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>E</mi> <mi>R</mi> <mi>R</mi> </mrow> <mrow> <mn>1</mn> </mrow> </msub> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>E</mi> <mi>R</mi> <mi>R</mi> </mrow> <mrow> <mn>2</mn> </mrow> </msub> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>E</mi> <mi>R</mi> <mi>R</mi> </mrow> <mrow> <mn>3</mn> </mrow> </msub> </mrow> </semantics></math> in overlays in sample: (<b>a</b>) 1_S&amp;P220, (<b>b</b>) 2_DP6310NS, and (<b>c</b>) 3_HY4080GY.</p>
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24 pages, 7137 KiB  
Article
Quantitative Proteomic Analysis of Macrophages Infected with Trypanosoma cruzi Reveals Different Responses Dependent on the SLAMF1 Receptor and the Parasite Strain
by Alfonso Herreros-Cabello, Javier del Moral-Salmoral, Esperanza Morato, Anabel Marina, Beatriz Barrocal, Manuel Fresno and Núria Gironès
Int. J. Mol. Sci. 2024, 25(13), 7493; https://doi.org/10.3390/ijms25137493 - 8 Jul 2024
Viewed by 963
Abstract
Chagas disease is caused by the intracellular protozoan parasite Trypanosoma cruzi. This disease affects mainly rural areas in Central and South America, where the insect vector is endemic. However, this disease has become a world health problem since migration has spread it [...] Read more.
Chagas disease is caused by the intracellular protozoan parasite Trypanosoma cruzi. This disease affects mainly rural areas in Central and South America, where the insect vector is endemic. However, this disease has become a world health problem since migration has spread it to other continents. It is a complex disease with many reservoirs and vectors and high genetic variability. One of the host proteins involved in the pathogenesis is SLAMF1. This immune receptor acts during the infection of macrophages controlling parasite replication and thus affecting survival in mice but in a parasite strain-dependent manner. Therefore, we studied the role of SLAMF1 by quantitative proteomics in a macrophage in vitro infection and the different responses between Y and VFRA strains of Trypanosoma cruzi. We detected different significant up- or downregulated proteins involved in immune regulation processes, which are SLAMF1 and/or strain-dependent. Furthermore, independently of SLAMF1, this parasite induces different responses in macrophages to counteract the infection and kill the parasite, such as type I and II IFN responses, NLRP3 inflammasome activation, IL-18 production, TLR7 and TLR9 activation specifically with the Y strain, and IL-11 signaling specifically with the VFRA strain. These results have opened new research fields to elucidate the concrete role of SLAMF1 and discover new potential therapeutic approaches for Chagas disease. Full article
(This article belongs to the Section Molecular Microbiology)
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<p>BALB/c macrophages infected by Y strain vs. non-infected BALB/c macrophages. (<b>A</b>) Volcano plot of detected proteins with log<sub>2</sub> fold change in mean intensities and −log<sub>10</sub> FDR of each protein. Thresholds of significance are shown as dashed lines: &lt;−0.5 and &gt;0.5 for the log<sub>2</sub> fold change and &gt;1.3 for the −log<sub>10</sub> FDR. Significant down- or upregulated proteins are represented in blue or red, respectively. Non-significant proteins are marked in grey. (<b>B</b>) Bar plot of the significant proteins (&gt;1.3 for the −log<sub>10</sub> FDR) classified by log<sub>2</sub> fold change. Thresholds are shown as dashed lines: &lt;−0.5 and &gt;0.5.</p>
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<p>GO enrichment analysis by Enrichr webtool of upregulated proteins in BALB/c macrophages infected with the Y strain. Significant biological processes’ GO terms are displayed in bubbles. Highly similar GO terms are linked by edges, and the line width indicates the degree of similarity. Color is determined by the log<sub>10</sub> (<span class="html-italic">p</span>-value), with red being the most and beige being the least statistically significant, respectively. LCFA, long-chain fatty acid; ALA, alpha-linolenic acid; TLR, toll-like receptor; IFN, interferon; IL, interleukin.</p>
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<p>GO enrichment analysis by Enrichr webtool of downregulated proteins in BALB/c macrophages infected with the Y strain. Significant biological processes’ GO terms are displayed in bubbles. Highly similar GO terms are linked by edges, and the line width indicates the degree of similarity. Color is determined by the log<sub>10</sub> (<span class="html-italic">p</span>-value), with blue being the most and white being the least statistically significant, respectively.</p>
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<p><span class="html-italic">Slamf1<sup>-/-</sup></span> macrophages infected by Y strain vs. non-infected <span class="html-italic">Slamf1<sup>-/-</sup></span> macrophages. (<b>A</b>) Volcano plot of detected proteins with log<sub>2</sub> fold change in mean intensities and −log<sub>10</sub> FDR of each protein. Thresholds of significance are shown as dashed lines: &lt;−0.5 and &gt;0.5 for the log<sub>2</sub> fold change and &gt;1.3 for the −log<sub>10</sub> FDR. Significant down- or upregulated proteins are represented in blue or red, respectively. Non-significant proteins are marked in grey. (<b>B</b>) Bar plot of the significant proteins (&gt;1.3 for the −log<sub>10</sub> FDR) classified by log<sub>2</sub> fold change. Thresholds are shown as dashed lines: &lt;−0.5 and &gt;0.5.</p>
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<p>GO enrichment analysis by Enrichr webtool of upregulated proteins in <span class="html-italic">Slamf1<sup>-/-</sup></span> macrophages infected with the Y strain. Significant biological processes’ GO terms are displayed in bubbles. Highly similar GO terms are linked by edges, and the line width indicates the degree of similarity. Color is determined by the log<sub>10</sub> (<span class="html-italic">p</span>-value), with red being the most and beige being the least statistically significant, respectively. LCFA, long-chain fatty acid; ALA, alpha-linolenic acid; TLR, toll-like receptor; IFN, interferon; IL, interleukin.</p>
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<p>GO enrichment analysis by Enrichr webtool of downregulated proteins in <span class="html-italic">Slamf1<sup>-/-</sup></span> macrophages infected with the Y strain. Significant biological processes’ GO terms are displayed in bubbles. Highly similar GO terms are linked by edges, and the line width indicates the degree of similarity. Color is determined by the log<sub>10</sub> (<span class="html-italic">p</span>-value), with blue being the most and white being the least statistically significant, respectively.</p>
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<p>Venn diagrams of shared proteins between macrophage conditions. (<b>A</b>) Upregulated proteins. (<b>B</b>) Downregulated proteins. Tables display the shared proteins in each combination.</p>
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<p>Venn diagrams of enriched GO terms shared between macrophage conditions. (<b>A</b>) Enriched upregulated GO terms. (<b>B</b>) Enriched downregulated GO terms.</p>
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<p>BioPlanet database functional enrichment analysis of BALB/c macrophages. Significant pathways of BALB/c macrophages infected by the Y strain and the VFRA strain according to the significantly upregulated and downregulated proteins.</p>
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<p>BioPlanet database functional enrichment analysis of <span class="html-italic">Slamf1<sup>-/-</sup></span> macrophages. Significant pathways of <span class="html-italic">Slamf1<sup>-/-</sup></span> macrophages infected by the Y strain and the VFRA strain according to the significantly upregulated and downregulated proteins.</p>
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15 pages, 6354 KiB  
Article
Optimizing Fatigue Performance in Gradient Structural Steels by Manipulating the Grain Size Gradient Rate
by Meichen Pan, Xin Chen, Meiling He, Yi Kong, Yong Du, Alexander Hartmaier, Xiaoyu Zheng and Yuling Liu
Materials 2024, 17(13), 3210; https://doi.org/10.3390/ma17133210 - 1 Jul 2024
Viewed by 915
Abstract
As a new type of high-performance material, gradient structural steel is widely used in engineering fields due to its unique microstructure and excellent mechanical properties. For the prevalent fatigue failure problem, the rate of change in the local grain size gradients along the [...] Read more.
As a new type of high-performance material, gradient structural steel is widely used in engineering fields due to its unique microstructure and excellent mechanical properties. For the prevalent fatigue failure problem, the rate of change in the local grain size gradients along the structure (referred to as the gradient rate) is a key parameter in the design of gradient structures, which significantly affects the fatigue performance of gradient structural steel. In this study, a new method of ‘Voronoi primary + secondary modeling’ is adopted to successfully establish three typical high-strength steel models corresponding to the convex-, linear-, and concave-type gradient rates for gradient structures, focusing on the stress–strain response and crack propagation in structural steel with different gradient rates under cyclic loading. It was found that the concave gradient rate structural model is dominated by finer grains with larger volume fraction, which is conducive to hindering fatigue crack propagation and has the longest fatigue life, which is 16.16% longer than that of the linear gradient rate structure and 23.66% longer than that of the convex gradient rate structure. The simulation results in this study are consistent with the relevant experimental phenomena. Therefore, when regulating the gradient rate, priority should be given to increasing the volume fraction of fine grains and designing a gradient rate structure dominated by fine grains to improve the fatigue life of the material. This study presents a new strategy for designing engineering materials with better service performance. Full article
(This article belongs to the Section Metals and Alloys)
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Figure 1
<p>Schematic diagram of the modeling process of gradient polycrystalline models with the three grain size gradient rates, and the different colors in the modes indicate different grains.</p>
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<p>Schematic diagram of random distribution and grain size distribution in gradient polycrystalline seed intervals: (<b>a</b>) grain seed distribution (top) and particle size distribution (bottom) in the convex gradient rate model; (<b>b</b>) grain seed distribution (top) and particle size distribution (bottom) in the linear gradient rate model; (<b>c</b>) grain seed distribution (top) and particle size distribution (bottom) in the concave gradient rate model.</p>
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<p>Engineering stress–strain curves and true stress–strain curves of materials: (<b>a</b>) the engineering stress–strain curves of materials in the convex gradient rate model; (<b>b</b>) the engineering stress–strain curves of materials in the linear gradient rate model; (<b>c</b>) the engineering stress–strain curves of materials in the concave gradient rate model; (<b>d</b>) the true stress–strain curves of materials in the convex gradient rate model; (<b>e</b>) the true stress–strain curves of materials in the linear gradient rate model; (<b>f</b>) the true stress–strain curves of materials in the concave gradient rate model.</p>
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<p>Engineering stress–strain curves and true stress–strain curves of materials: (<b>a</b>) the engineering stress–strain curves of materials in the convex gradient rate model; (<b>b</b>) the engineering stress–strain curves of materials in the linear gradient rate model; (<b>c</b>) the engineering stress–strain curves of materials in the concave gradient rate model; (<b>d</b>) the true stress–strain curves of materials in the convex gradient rate model; (<b>e</b>) the true stress–strain curves of materials in the linear gradient rate model; (<b>f</b>) the true stress–strain curves of materials in the concave gradient rate model.</p>
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<p>Stress–strain curves with progressive damage degradation.</p>
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<p>Schematic diagram of the model after applying boundary conditions and cyclic loads in Abaqus software (Version 2020): (<b>a</b>) the convex gradient rate model; (<b>b</b>) the linear gradient rate model; (<b>c</b>) the concave gradient rate model; (<b>d</b>) schematic diagram of the cyclic load amplitude curve applied to the model. The different colors in the figure indicate different grains, the arrows on the top surface indicate the direction of displacement loading, the arrows at the bottom and left side indicate that the boundary conditions of the model are fully fixed, and the right side of the model is prefabricated with a microcrack measuring 2 μm × 1 μm.</p>
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<p>Mises stress results under cyclic loading for the three types of gradient rate models: (<b>a</b>) the convex gradient rate model; (<b>b</b>) the linear gradient rate model; (<b>c</b>) the concave gradient rate model.</p>
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<p>Equivalent plastic strain results under cyclic loading for three types of gradient rate models: (<b>a</b>) the convex gradient rate model; (<b>b</b>) the linear gradient rate model; (<b>c</b>) the concave gradient rate model.</p>
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<p>Fatigue life curves of three types of gradient models under cyclic loads: curve A belongs to the convex gradient rate model, curve B belongs to the linear gradient rate model, and curve C belongs to the concave gradient rate model.</p>
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<p>Fatigue data scatter and fitting results: (<b>a</b>) data scatter of fatigue crack propagation rate, d<span class="html-italic">a</span>/d<span class="html-italic">N</span>, and stress intensity factor amplitude, ∆<span class="html-italic">K</span>; (<b>b</b>) data scatter and linear fitting results of double logarithmic lg(d<span class="html-italic">a</span>/d<span class="html-italic">N</span>) and lg(∆<span class="html-italic">K</span>).</p>
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<p>Fitting curves of fatigue crack propagation rate, d<span class="html-italic">a</span>/d<span class="html-italic">N</span>, and stress intensity factor amplitude, ∆<span class="html-italic">K</span>.</p>
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16 pages, 8739 KiB  
Article
Experimental Investigation of Low-Frequency Distributed Acoustic Sensor Responses to Two Parallel Propagating Fractures
by Teresa Reid, Gongsheng Li, Ding Zhu and A. Daniel Hill
Sensors 2024, 24(12), 3880; https://doi.org/10.3390/s24123880 - 15 Jun 2024
Cited by 1 | Viewed by 795
Abstract
Low-frequency distributed acoustic sensing (LF-DAS) is a diagnostic tool for hydraulic fracture propagation with far-field monitoring using fiber optic sensors. LF-DAS senses strain rate variation caused by stress field change due to fracture propagation. Fiber optic sensors are installed in the monitoring wells [...] Read more.
Low-frequency distributed acoustic sensing (LF-DAS) is a diagnostic tool for hydraulic fracture propagation with far-field monitoring using fiber optic sensors. LF-DAS senses strain rate variation caused by stress field change due to fracture propagation. Fiber optic sensors are installed in the monitoring wells in the vicinity of a fractured well. From the strain responses, fracture propagation can be evaluated. To understand subsurface conditions with multiple propagating fractures, a laboratory-scale hydraulic fracture experiment was performed simulating the LF-DAS response to fracture propagation with embedded distributed optical fiber strain sensors under these conditions. The experiment was performed using a transparent cube of epoxy with two parallel radial initial flaws centered in the cube. Fluid was injected into the sample to generate fractures along the initial flaws. The experiment used distributed high-definition fiber optic strain sensors with tight spatial resolutions. The sensors were embedded at two different locations on opposite sides of the initial flaws, serving as observation/monitoring locations. We also employed finite element modeling to numerically solve the linear elastic equations of equilibrium continuity and stress–strain relationships. The measured strains from the experiment were compared to simulation results from the finite element model. The experimentally derived strain and strain-rate waterfall plots from this study show the responses to both fractures propagating, while the fracture at the lower position took most of the fluid during the experiment. Interestingly, a fracture first began propagating from the upper flaw of the two flaws, but once the lower fracture was initiated, it grew much faster than the upper fracture. Both fibers were intercepted by the lower fracture, further verifying the strain signature as a fracture is approaching and intersecting an offset fiber. Full article
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<p>Schematic representation of a fiber optic sensor in a monitoring well [<a href="#B5-sensors-24-03880" class="html-bibr">5</a>]. A treatment well has fractures that propagate due to the high-pressure injection. A far-field monitoring well has a fiber optic sensor installed along the wellbore which senses the strain rate variation in the surrounding formation due to the fracture propagation. As fractures approach the monitoring well, the LF-DAS registers the strain rate change.</p>
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<p>LF-DAS waterfall plot during hydraulic fracturing in offset well where the color represents strain (blue for compression and red for extension) (adopted from Raterman [<a href="#B9-sensors-24-03880" class="html-bibr">9</a>]).</p>
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<p>Schematic representation of the lab-scale hydraulic fracture experiment with two parallel fractures. Injection tubing serves as treatment well, and fiber sensors serves as monitoring wells. Pressure, injection rate, and fracture geometry are monitored during injection, in addition to strain monitoring by fiber sensor.</p>
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<p>(<b>a</b>) Schematic representation of epoxy specimen of two parallel fractures from side view with two fiber optic cables; (<b>b</b>) picture from side view of fracture specimen before injection test; (<b>c</b>) picture from top angle view of fracture specimen before injection test.</p>
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<p>Time-ordered fracture geometry in fracture specimen: (<b>a</b>) initial, (<b>b</b>) top-fracture filled, (<b>c</b>) bottom-fracture filled, (<b>d</b>) both fractures propagate, (<b>e</b>) bottom fracture over-grow, and (<b>f</b>) bottom fracture dominates.</p>
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<p>Top view of the specimen during experiment showing the fracture intercepting fiber sensors: (<b>a</b>) fracture hit north fiber, (<b>b</b>) fracture intercepted with both fibers, (<b>c</b>) fracture passed both fibers, (<b>d</b>) fracture breakthrough the block, and (<b>e</b>) experiment complete.</p>
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<p>Experimental results for south fiber: (<b>a</b>) strain waterfall plot from fiber measurements and (<b>b</b>) calculated strain-rate waterfall plots—for a propagating fracture intersecting the embedded north fiber (see <a href="#sensors-24-03880-f005" class="html-fig">Figure 5</a>) at 454 s. (<b>c</b>) The injection rate (blue dashed line) and averaged pressure (solid black line) profiles are plotted at the corresponding time during the experiment. The black vertical lines indicate fracture growth and the red dotted line indicates when fracture intercepts the fiber.</p>
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<p>(<b>a</b>) DAS recorded strain waterfall plot and (<b>b</b>) calculated strain-rate waterfall plot—for a propagating fracture intersecting the embedded south fiber (see <a href="#sensors-24-03880-f005" class="html-fig">Figure 5</a>) at 501 s. (<b>c</b>) The injection rate (blue dashed line) and averaged pressure (solid black line) profiles for the south fiber. The black vertical lines indicate fracture growth and the red dotted line indicates when fracture intercepts the fiber.</p>
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<p>Comparison of strain rate plot for one-fracture system and two-fracture system. (<b>a</b>) single fracture, (<b>b</b>) two fractures.</p>
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<p>Strain waterfall with marked zero-strain locations (black line) where tension (fracture propagation) become compression (non-fractured rock).</p>
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<p>Measured and estimated fracture radii using the zero-strain location method.</p>
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<p>Measured and estimated distance to fracture front using the zero-strain location method.</p>
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<p>(<b>a</b>) Picture from top angle view of fracture specimen before injection test; (<b>b</b>) schematic representation of epoxy specimen of two parallel fractures from side view with two fiber optic cables; (<b>c</b>) finite-element model domain with north fiber location in red line.</p>
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<p>(<b>a</b>) Schematic representation of two parallel fractures from side view with north fiber optic cable; (<b>b</b>) comparison of measured and finite element modeled strains at 300 s.</p>
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