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30 pages, 12252 KiB  
Article
A Novel Strutless Double-Row Structure for Deep Excavation: Working Mechanism Study and Analysis
by Jinqing Jia and Xuegang Pan
Appl. Sci. 2025, 15(4), 2173; https://doi.org/10.3390/app15042173 - 18 Feb 2025
Viewed by 261
Abstract
This paper presents a novel strut-free earth retaining wall system for excavation, referred to as the asymmetric double-row pile wall (ARPW) retaining system. This system comprises three key elements: front-row reinforced concrete piles, back-row walls, and connecting crossbeams at the top of the [...] Read more.
This paper presents a novel strut-free earth retaining wall system for excavation, referred to as the asymmetric double-row pile wall (ARPW) retaining system. This system comprises three key elements: front-row reinforced concrete piles, back-row walls, and connecting crossbeams at the top of the piles. This paper aims to analyze the deformation characteristics and mechanical behavior of the ARPW retaining system, double-row pile wall (DRPW) retaining system, and single-row pile wall (SPW) retaining system using both physical model tests and numerical simulations. The study reveals that, with reasonable row spacing, double-row structures exhibit substantially lower earth pressure and bending moments compared to SPW. Additionally, all double-row structures display reverse bending points. The optimal row spacing for DRPW and ARPW is within the ranges of 2D to 6D and 4D to 8D, respectively. ARPW outperforms DRPW by efficiently utilizing active zone friction force and soil weight force (Gs) to resist overturning moments, thereby resulting in improved anti-overturning capabilities, reduced deformations, lower internal forces, and enhanced stability. The study also presents a case study from the Jinzhonghe Avenue South Side Plot in Tianjin, demonstrating the practical application and effectiveness of the ARPW system in meeting stringent deformation requirements for deep foundation pits. These research findings provide valuable insights for practical engineering applications. Full article
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<p>Model box.</p>
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<p>Definition of model soil properties based on a steady-state line.</p>
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<p>Particle size distribution curve.</p>
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<p>Steady-state line.</p>
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<p>Model pile.</p>
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<p>Sketch of crossbeam. (<b>a</b>) SPW; (<b>b</b>) DRPW; (<b>c</b>) ARPW.</p>
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<p>Layout of retaining structure.</p>
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<p>Layout of the detection device.</p>
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<p>Filling process.</p>
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<p>Test process (<b>a</b>) diagram; (<b>b</b>) excavation process. Note: RS represents the length of row spacing.</p>
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<p>Numerical simulation model.</p>
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<p>Horizontal displacement of pile top during excavation.</p>
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<p>Pile top horizontal displacement (H = 500 mm).</p>
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<p>Horizontal displacement of the pile (H = 500 mm).</p>
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<p>Horizontal displacement contour diagram (H = 500 mm). (<b>a</b>) SPW; (<b>b</b>) DRPW (4D); (<b>c</b>) ARPW (4D).</p>
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<p>Horizontal displacement contour diagram (H = 500 mm). (<b>a</b>) SPW; (<b>b</b>) DRPW (4D); (<b>c</b>) ARPW (4D).</p>
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<p>Ground settlement outside the excavation pit (H = 500 mm).</p>
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<p>Pit bottom uplift (H = 500 mm).</p>
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<p>Earth pressure diagram.</p>
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<p>E<sub>ff</sub> (H = 500 mm).</p>
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<p>E<sub>rr</sub> (H = 500 mm).</p>
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<p>E<sub>fr</sub> (H = 500 mm) (<b>a</b>) model test results and (<b>b</b>) numerical simulation results.</p>
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<p>E<sub>rf</sub> (H = 500 mm) (<b>a</b>) model test results and (<b>b</b>) numerical simulation results.</p>
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<p>Bending moment of SPW.</p>
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<p>Comparison of 2D bending moment with excavation.</p>
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<p>Comparison of 4D bending moment with excavation.</p>
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<p>Comparison of 6D bending moment with excavation.</p>
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<p>Comparison of bending moment (H = 500 mm).</p>
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<p>Foundation pit plan.</p>
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<p>Horizontal displacement of the front pile.</p>
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<p>Layout of ARPW.</p>
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<p>Bending moment of the front pile.</p>
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<p>Schematic diagram of overall stress analysis of soil between piles.</p>
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15 pages, 11075 KiB  
Article
The Development and Characteristics of an In-Wheel Assembly Using a Variable Speed-Reducing Device
by Kyeongho Shin, Kyoungjin Ko and Junha Hwang
World Electr. Veh. J. 2025, 16(2), 92; https://doi.org/10.3390/wevj16020092 - 11 Feb 2025
Viewed by 371
Abstract
This study proposes an in-wheel assembly with a variable speed-reduction device designed to maximize torque and vehicle speed, enabling high-performance vehicle-level driving characteristics in front-engine, rear-wheel drive (FR), internal combustion engine (ICE) vehicles, where conventional EV motors cannot facilitate e-4WD. The proposed system [...] Read more.
This study proposes an in-wheel assembly with a variable speed-reduction device designed to maximize torque and vehicle speed, enabling high-performance vehicle-level driving characteristics in front-engine, rear-wheel drive (FR), internal combustion engine (ICE) vehicles, where conventional EV motors cannot facilitate e-4WD. The proposed system integrates a motor and speed reducer within the wheel while avoiding interference from braking, steering, and suspension components. Through various innovative approaches, concepts for an integrated wheel-bearing planetary reducer and a variable speed planetary reducer were derived. The developed system achieved twice the maximum torque and a 35% increase in top speed compared to previously developed in-wheel systems, all without altering the front hard points. Multi-body dynamic analysis and component testing revealed wheel lock-up issues during reverse driving, and instability in the one-way clutch at high speeds. To address these issues, the power transmission structure was improved, and the type of one-way clutch was modified. Additionally, deficiencies in lubrication supply to the friction surface of the one-way clutch were identified through flow analysis and visualization tests, leading to design improvements. The findings of this study demonstrate that even in in-wheel systems where the application of large and complex transmission devices is challenging, it is possible to simultaneously enhance both maximum torque and top vehicle speed to achieve high-performance vehicle-level driving dynamics. Consequently, implementing an in-wheel e-4WD system in ICE FR vehicles is expected to improve fuel efficiency, achieve high-performance vehicle capabilities, and enhance market competitiveness. Full article
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<p>In-wheel e-4WD configuration of G70.</p>
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<p>(<b>a</b>) Concept of hub bearing integrated PGS. (<b>b</b>) Block diagram of HB-PGS.</p>
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<p>(<b>a</b>) The block diagram of power transmission. (<b>b</b>) The target T-N (torque–speed) curve.</p>
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<p>The operational state of each OWC based on the location of torque generation and the relative rotational speeds of the components in forward.</p>
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<p>The operational state of each OWC based on the location of torque generation and the relative rotational speeds of the components in backward.</p>
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<p>The structure of the new design of preventing OWC interlock.</p>
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<p>Overall structure of in-wheel assembly with the HB-PGS and VOWC-PGS.</p>
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<p>(<b>a</b>) Dynamic analysis of the OWC. (<b>b</b>) Dynamic analysis of the PGS.</p>
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<p>(<b>a</b>) Dynamic analysis of the VOWC in low speed. (<b>b</b>) Test results of the VOWC.</p>
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<p>(<b>a</b>) Test of VOWC engagement limits at high rotational speeds. (<b>b</b>) Test results of the engagement limits. (<b>c</b>) Dynamic analysis of the VOWC at high speed.</p>
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<p>(<b>a</b>) Test of VOWC engagement limits at high rotational speeds. (<b>b</b>) Test results of the engagement limits. (<b>c</b>) Dynamic analysis of the VOWC at high speed.</p>
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<p>Thermal stress in rotor shaft and OWC Rollover.</p>
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<p>(<b>a</b>) Oil flow analysis. (<b>b</b>) Supplied oil visualization.</p>
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<p>(<b>a</b>) Oil flow according to rotational speed of rotor. (<b>b</b>) Changes in the amount of inlet/outlet oil over time. (<b>c</b>) Single sided oil holes in rotor shaft.</p>
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<p>(<b>a</b>) Oil flow according to rotational speed of rotor. (<b>b</b>) Changes in the amount of inlet/outlet oil over time. (<b>c</b>) Single sided oil holes in rotor shaft.</p>
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<p>Performance test for variable reducer in-wheel system. (<b>a</b>) Variable reducer in-wheel assay PT dynamo test. (<b>b</b>) Wheel T-N performance.</p>
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<p>Efficiency for variable reducer in-wheel system.</p>
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<p>Longitudinal dynamic performance analysis.</p>
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16 pages, 4234 KiB  
Article
Predicting Antibody Affinity Changes upon Mutation Based on Unbound Protein Structures
by Zhengshan Chen, Song He, Xiangyang Chi and Xiaochen Bo
Int. J. Mol. Sci. 2025, 26(3), 1343; https://doi.org/10.3390/ijms26031343 - 5 Feb 2025
Viewed by 517
Abstract
Antibodies are key proteins in the immune system that can reversibly and non-covalently bind specifically to their corresponding antigens, forming antigen–antibody complexes. They play a crucial role in recognizing foreign or self-antigens during the adaptive immune response. Monoclonal antibodies have emerged as a [...] Read more.
Antibodies are key proteins in the immune system that can reversibly and non-covalently bind specifically to their corresponding antigens, forming antigen–antibody complexes. They play a crucial role in recognizing foreign or self-antigens during the adaptive immune response. Monoclonal antibodies have emerged as a promising class of biological macromolecule therapeutics with broad market prospects. In the process of antibody drug development, a key engineering challenge is to improve the affinity of candidate antibodies, without experimentally resolved structures of the antigen–antibody complexes as input for computer-aided predictive methods. In this work, we present an approach for predicting the effect of residue mutations on antibody affinity without the structures of the antigen–antibody complexes. The method involves the graph representation of proteins and utilizes a pre-trained encoder. The encoder captures the residue-level microenvironment of the target residue on the antibody along with the antigen context pre- and post-mutation. The encoder inherently possesses the potential to identify paratope residues. In addition, we curated a benchmark dataset specifically for mutations of the antibody. Compared to baseline methods based on complex structures and sequences, our approach achieves superior or comparable average accuracy on benchmark datasets. Additionally, we validate its advantage of not requiring antigen–antibody complex structures as input for predicting the effects of mutations in antibodies against SARS-CoV-2, influenza, and human cytomegalovirus. Our method shows its potential for identifying mutations that improve antibody affinity in practical antibody engineering applications. Full article
(This article belongs to the Section Molecular Immunology)
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<p>Overall framework. The structures of the wild-type antibody, mutant antibody and antigen are represented as residue-level graphs, respectively. These graphs are input into a pre-trained encoder (including convolution and attention modules) to generate residue-level representations of mutations in antibodies, which are then passed through the AutoGluon model to classify whether the mutations increase or decrease antibody affinity.</p>
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<p>Antibodies and mutation types in the benchmark. (<b>A</b>) Pairwise similarity of antibody amino acid sequence. (<b>B</b>) Types of amino acids before and after mutation occurs.</p>
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<p>The mutation representation space after a dimensionality reduction. (<b>A</b>) The two most important components obtained by PCA. (<b>B</b>) The two dimensions of t-SNE across the groups. (<b>C</b>) The two dimensions of UMAP across the groups. Mutations in different groups are marked with different colors and significance is determined by an unpaired Wilcoxon test. ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Evaluation of prediction in stratified three-fold cross-validation.</p>
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<p>Evaluation of prediction in leave-one-antibody-out cross-validation.</p>
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<p>The performance of MutAb in predicting highly increasing affinity and highly decreasing affinity mutations.</p>
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<p>Evaluation of prediction in the anti-SARS-CoV-2 antibody datasets.</p>
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<p>Ab-Ag docking and using the docking conformations as input for FoldX5 and mCSM-AB2. The optimal docking conformations for (<b>A</b>) NC41, (<b>B</b>) 1G2 and (<b>C</b>) NC10 obtained from ClusPro. The antibody component in the experimentally solved structure was superimposed with the antibody in the docking pose of the Ab-Ag complex. The antibody, the antigen in the experimentally solved structure and the antigen in the docking pose are represented in white, orange and cyan, respectively.</p>
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<p>The heatmap shows the scaled values of experimental and predicted affinity changes. From left to right, it sequentially represents experimental ΔΔG, the probability of the mutation increasing antibody affinity predicted by our framework, predictive value from FoldX5 and mCSM-AB2 using the experimentally solved structure as input and the predictive value of FoldX5 and mCSM-AB2 using the docking pose as input.</p>
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18 pages, 17660 KiB  
Article
Simulation of an Orthodontic System Using the Lingual Technique Based on the Finite Element Method
by Abbas Hazem, Felicia Ileana Mărășescu, Mihaela Jana Țuculină, Dragoș Laurențiu Popa, Ionuț Daniel Geonea, Alexandru Iliescu, Petre Mărășescu, Ioan Ovidiu Gheorghe, Alma Roxana Pitru, Eugen Nicolae Tieranu and Ionela Teodora Dascălu
Diagnostics 2024, 14(24), 2832; https://doi.org/10.3390/diagnostics14242832 - 16 Dec 2024
Viewed by 828
Abstract
Backgrounds/Objectives: The finite element method (FEM) is an advanced numerical technique that can be applied in orthodontics to study tooth movements, stresses, and deformations that occur during orthodontic treatment. It is also useful for simulating and visualizing the biomechanical behavior of teeth, tissues, [...] Read more.
Backgrounds/Objectives: The finite element method (FEM) is an advanced numerical technique that can be applied in orthodontics to study tooth movements, stresses, and deformations that occur during orthodontic treatment. It is also useful for simulating and visualizing the biomechanical behavior of teeth, tissues, and orthodontic appliances in various clinical scenarios. The objective of this research was to analyze the mechanical behavior of teeth, tissues, and orthodontic appliances in various clinical scenarios. Materials and Methods: For this study, we utilized a model derived from a set of CBCT scans of a 26-year-old female patient who underwent fixed orthodontic treatment using the lingual technique. Through a series of programs based on reverse engineering, we constructed a three-dimensional reconstruction of the teeth and their internal structures. Using the finite element method (FEM), we obtained six simulations of an orthodontic system utilizing the fixed lingual technique, in which we employed brackets made of chrome–nickel or gold, and archwires made of nitinol, gold, or stainless steel. Results: The study reveals that although the deformation of the archwires during orthodontic treatment is the same, the forces generated by the three types of archwires on brackets differ. The variation in forces applied to the brackets in the fixed lingual orthodontic technique is essential for customizing orthodontic treatment, as these forces must be precisely controlled to ensure effective tooth movement and prevent overloading of the dental structures. Conclusions: The FEM analysis allows for the identification of ideal combinations between the materials used for orthodontic archwires and the materials used for brackets. This ensures that the optimal intensity of forces applied during the fixed lingual orthodontic technique results in desired tooth movements without causing damage to the enamel, dentin, or pulp of the teeth. Full article
(This article belongs to the Special Issue Diagnostic Approach and Innovations in the Different Dentistry Fields)
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<p>CBCT scan of the patient and the initial model of the orthodontic system.</p>
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<p>Initial model of canine 1.3: two views in SolidWorks and one view in Geomagic.</p>
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<p>Offset stages applied to the dentin model of canine 1.3.</p>
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<p>Offset stages applied to the dental pulp model of canine 1.3.</p>
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<p>Models of the enamel, dentin, and pulp of canine 1.3 in SolidWorks.</p>
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<p>Model of canine 1.3: three views with different degrees of transparency.</p>
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<p>Model of the studied orthodontic system.</p>
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<p>Displacement maps (<b>a1</b>,<b>a2</b>), deformation maps (<b>b1</b>,<b>b2</b>), and stress maps (<b>c1</b>,<b>c2</b>) for nitinol orthodontic archwires and chromium–nickel alloy brackets [<a href="#B27-diagnostics-14-02832" class="html-bibr">27</a>].</p>
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<p>Result maps for a section through incisor 1.1.</p>
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<p>Maps of displacements (<b>a</b>), deformations (<b>b</b>), and stresses (<b>c</b>) for nitinol orthodontic archwires and gold brackets.</p>
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<p>Result maps for a section through incisor 1.1.</p>
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<p>Maps of displacements (<b>a</b>), deformations (<b>b</b>), and stresses (<b>c</b>) for gold orthodontic archwires and gold brackets.</p>
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<p>Result maps for a section through incisor 1.1.</p>
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<p>Maps of displacements (<b>a</b>), deformations (<b>b</b>), and stresses (<b>c</b>) for orthodontic archwires made of gold and nickel–chromium alloy brackets.</p>
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<p>Result maps for a section through incisor 1.1.</p>
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<p>Maps of displacements (<b>a</b>), deformations (<b>b</b>), and stresses (<b>c</b>) for stainless steel orthodontic archwires and gold brackets.</p>
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<p>Result maps for a section through incisor 1.1.</p>
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<p>Maps of displacements (<b>a</b>), deformations (<b>b</b>), and stresses (<b>c</b>) for stainless steel orthodontic archwires and nickel–chromium alloy brackets.</p>
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<p>Result maps for a section through incisor 1.1.</p>
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<p>Comparative diagram of maximum displacements.</p>
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<p>Comparative diagram of maximum deformations.</p>
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<p>Comparative diagram of maximum stresses.</p>
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26 pages, 5051 KiB  
Review
Engineering LiBH4-Based Materials for Advanced Hydrogen Storage: A Critical Review of Catalysis, Nanoconfinement, and Composite Design
by Yaohui Xu, Yang Zhou, Yuting Li, Maziar Ashuri and Zhao Ding
Molecules 2024, 29(23), 5774; https://doi.org/10.3390/molecules29235774 - 6 Dec 2024
Viewed by 919
Abstract
Lithium borohydride (LiBH4) has emerged as a promising hydrogen storage material due to its exceptional theoretical hydrogen capacity (18.5 wt.%). However, its practical application is hindered by high dehydrogenation temperature (>400 °C), sluggish kinetics, and limited reversibility due to stable intermediate [...] Read more.
Lithium borohydride (LiBH4) has emerged as a promising hydrogen storage material due to its exceptional theoretical hydrogen capacity (18.5 wt.%). However, its practical application is hindered by high dehydrogenation temperature (>400 °C), sluggish kinetics, and limited reversibility due to stable intermediate formation. This review critically analyzes recent advances in LiBH4 modification through three primary strategies: catalytic enhancement, nanostructure engineering, and reactive composite design. Advanced carbon architectures and metal oxide catalysts demonstrate significant improvements in reaction kinetics and cycling stability through interface engineering and electronic modification. Sophisticated nanostructuring approaches, including mechanochemical processing and infiltration techniques, enable precise control over material architecture and phase distribution, effectively modifying thermodynamic and kinetic properties. The development of reactive hydride composites, particularly LiBH4-MgH2 systems, provides promising pathways for thermodynamic destabilization while maintaining high capacity. Despite these advances, challenges persist in maintaining engineered structures and suppressing intermediate phases during cycling. Future developments require integrated approaches combining multiple modification strategies while addressing practical implementation requirements. Full article
(This article belongs to the Collection Green Energy and Environmental Materials)
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Graphical abstract
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<p>The LiBH4 structure at room temperature (<b>a</b>) Boron (top) and (<b>b</b>) lithium (bottom) [<a href="#B27-molecules-29-05774" class="html-bibr">27</a>]. (<b>c</b>) Atomistic structure model of the monoclinic Li<sub>2</sub>B<sub>12</sub>H<sub>12</sub> space group: P21/n, Z = 2; a = 7.358 Å, b = 9.556 Å, c = 6.768 Å, and β = 92.26°. The large, middle, and small spheres denote Li, B, and H atoms, respectively [<a href="#B38-molecules-29-05774" class="html-bibr">38</a>].</p>
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<p>(<b>a</b>) TEM image and the corresponding C- and N-elemental mappings of D-carbon. (<b>b</b>) Isothermal hydrogen desorption curves at 320 °C of LiBH<sub>4</sub>-(D-carbon), LiBH4-(Ac-carbon), and bulk LiBH<sub>4</sub>. (<b>c</b>) XRD patterns of dehydrogenated LiBH4-(Ac-carbon) at 250 °C, 320 °C, and 380 °C for 5 h. (<b>d</b>) FT-IR spectra of the dehydrogenated products of LiBH<sub>4</sub>-(Ac-carbon) at 250 °C, 320 °C and 380 °C for 5 h; pure LiBH<sub>4</sub> is also included for comparison [<a href="#B50-molecules-29-05774" class="html-bibr">50</a>].</p>
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<p>(<b>a</b>) XRD patterns and (<b>b</b>) FTIR spectra of the heat-treated LiBH4 + 0.06Ti(OEt)<sub>4</sub> mixture at 230 °C for 30 min as well as ball-milled mixture and ball-milled LiBH<sub>4</sub>. (<b>c</b>) XPS spectrum of Ti 2p of the heat-treated LiBH<sub>4</sub> + 0.06Ti(OEt)<sub>4</sub> mixture. (<b>d</b>) Schematic illustration of the preparation process of the passionfruit-like p-Fe<sub>3</sub>O<sub>4</sub>@C hybrid. (<b>e</b>) Isothermal dehydrogenation curves of the 6LiBH<sub>4</sub>@4p-Fe<sub>3</sub>O<sub>4</sub>@C system at 300 °C, 325 °C, and 350 °C and that of the pristine LiBH<sub>4</sub> at 350 °C. (<b>f</b>) Kissinger’s plot of the 6LiBH<sub>4</sub>@4p-Fe<sub>3</sub>O<sub>4</sub>@C system, where the inset is the TPD-MS curves measured at different heating rates. (<b>g</b>) Cyclic curves of the 6LiBH4@4p-Fe<sub>3</sub>O<sub>4</sub>@C system with a regime of dehydrogenation at 350 °C for 200 min and hydrogenation at 450 °C under 10 MPa H<sub>2</sub> for 100 min [<a href="#B55-molecules-29-05774" class="html-bibr">55</a>].</p>
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<p>(<b>a</b>) FTIR spectra of SiB<sub>4</sub>/FeB/TiB<sub>2</sub>LiH after hydrogenation at different conditions. The right part is the enlargement of the dashed region in left FTIR, TPD-MS, (<b>b</b>) and isothermal dehydrogenation curve at 400 °C (<b>c</b>) of SiB<sub>4</sub>-LiH samples after hydrogenation at different conditions [<a href="#B64-molecules-29-05774" class="html-bibr">64</a>]. (<b>d</b>) Dehydrogenation of PeC isotherms of the 6LiBH<sub>4</sub>/SrF<sub>2</sub> system at 400, 450, and 500 °C. (<b>e</b>) FTIR spectra of the 6LiBH<sub>4</sub>/SrF<sub>2</sub> system. (<b>f</b>) XRD patterns of different samples [<a href="#B56-molecules-29-05774" class="html-bibr">56</a>].</p>
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<p>(<b>a</b>) The flowchart for the preparation method of the as-milled Sm<sub>5</sub>Mg<sub>41</sub> alloy [<a href="#B75-molecules-29-05774" class="html-bibr">75</a>]. (<b>b</b>) Illustration of the deformation of powder agglomerate during the impact process [<a href="#B76-molecules-29-05774" class="html-bibr">76</a>].</p>
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<p>SEM of (<b>a</b>) 40LBH@NC-NbF<sub>5</sub>, (<b>b</b>) 50LBH@NC-NbF<sub>5</sub>, and (<b>c</b>) 60LBH@NC-NbF<sub>5</sub> in the same magnification. (<b>d</b>) Theoretical and experimental dehydrogenation capacities of <sub>x</sub>LBH@hNCNC and xLBH@NC-NbF<sub>5</sub> and their differences. (<b>e</b>) Cyclic performance with a regime of dehydrogenation at 300 °C in vacuum and rehydrogenation at 300 °C under 12 MPa H<sub>2</sub> [<a href="#B69-molecules-29-05774" class="html-bibr">69</a>].</p>
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<p>(<b>a</b>) Schematic of the preparation. (<b>b</b>) Non-isothermal hydrogenation curves of nano-LiBH<sub>4</sub>. (<b>c</b>) Comparison of dehydrogenation capacity of pristine LiBH<sub>4</sub> (500 °C), nano-LiBH<sub>4</sub> (400 °C), and nano-LiBH<sub>4</sub>/LiH (400 °C) with cycling [<a href="#B73-molecules-29-05774" class="html-bibr">73</a>].</p>
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<p>(<b>a</b>) Schematic of the device for the ball milling with aerosol spraying (BMAS) process in making nano-particles with reactants LiBH<sub>4</sub> and MgH<sub>2</sub> mixing at the nanometer scale [<a href="#B88-molecules-29-05774" class="html-bibr">88</a>]. (<b>b</b>) Hydrogen amount of desorption and absorption as a function of dehydrogenation and re-hydrogenation cycles [<a href="#B90-molecules-29-05774" class="html-bibr">90</a>]. Schematic of the dehydrogenation via the LiBH<sub>4</sub>-Li<sub>2</sub>B<sub>12</sub>H<sub>12</sub> pathway: (<b>c</b>) the (Li<sub>2</sub>B<sub>12</sub>H<sub>12</sub> + 10 LiH) products form a continuous shell outside the LiBH<sub>4</sub> shrinking core, leading to a reaction rate controlled by H<sub>2</sub> gas desorption at the surface of the (Li<sub>2</sub>B<sub>12</sub>H<sub>12</sub> + 10 LiH) product layer, and (<b>d</b>) takes place at the Li<sub>2</sub>B<sub>12</sub>H<sub>12</sub>/MgH<sub>2</sub> interface, leading to the nucleation and growth of MgB<sub>2</sub> + LiH products (shown inside the dashed box) accompanied by H<sub>2</sub> release [<a href="#B92-molecules-29-05774" class="html-bibr">92</a>].</p>
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39 pages, 19800 KiB  
Review
Law and Order of Colloidal Tectonics: From Molecules to Self-Assembled Colloids
by Loïc Leclercq
Molecules 2024, 29(23), 5657; https://doi.org/10.3390/molecules29235657 - 29 Nov 2024
Viewed by 890
Abstract
Since biochemists and biologists have progressed in understanding the mechanisms involved in living organisms, biological systems have become a source of inspiration for chemists. In this context, the concept of colloidal tectonics, describing the spontaneous formation of colloidal particles or supracolloidal structures in [...] Read more.
Since biochemists and biologists have progressed in understanding the mechanisms involved in living organisms, biological systems have become a source of inspiration for chemists. In this context, the concept of colloidal tectonics, describing the spontaneous formation of colloidal particles or supracolloidal structures in which the building blocks are called “tectons”, has emerged. Therefore, a bottom-up edification of tectons towards (supra) colloidal structures is allowed. Each (supra) colloidal system has at least one of the following properties: amphiphilicity, predictability, versatility, commutability, and reversibility. However, for these systems to perform even more interesting functions, it is necessary for tectons to have very precise chemical and physical properties so that new properties emerge in (supra) colloidal systems. In this way, colloidal tectonics enables engineering at the nano- and micrometric level and contributes to the development of smart bioinspired systems with applications in catalysis, drug delivery, etc. In this review, an overview of the concept of colloidal tectonics is illustrated by some biotic systems. The design of abiotic (supra) colloidal systems and their applications in various fields are also addressed (notably Pickering emulsions for catalysis or drug delivery). Finally, theoretical directions for the design of novel self-assembled (supra) colloidal systems are discussed. Full article
(This article belongs to the Special Issue Amphiphilic Molecules, Interfaces and Colloids)
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<p>From tectons (molecules) to supracolloidal systems (<b>A</b>) and schematic illustration of the self-assembled process (<b>B</b>).</p>
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<p>Structure of casein micelles (<b>left</b>) and effect of homogenization on fat and casein fractions in milk (<b>right</b>).</p>
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<p>Ultracentrifuged fresh natural rubber latex fractions (<b>A</b>), schematic representation of liquid fresh rubber latex (<b>B</b>), structure of rubber and non-rubber particles (lutoid and Frey–Wyssling particles) (<b>C</b>), commonly accepted polyisoprene molecular structure (<b>D</b>) indicating the self-binding between the α-end and phospholipids and the ω-end and proteins through electrostatic and hydrophobic interactions (bottom right).</p>
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<p>Presumed structure of rubber particles shell and non-covalent interactions between phosphatidylcholines and proteins (electrostatic and hydrophobic interactions).</p>
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<p>Schematic drawing of two basic types of viruses. In non-enveloped viruses, the genome is condensed in a capsid (coat protein), whereas enveloped viruses have a capsid or nucleocapsid wrapped in a phospholipid bilayer with protein (spike).</p>
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<p>Self-assembly of 60 T asymmetric units (proteins) giving 20 triangular facets, leading to icosahedral nucleocapsid with T = 1 (<b>A</b>) and T = 3 (<b>B</b>).</p>
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<p>Schematic representation of colloidal arrangements in the form of regular icosahedrons (capsid-like structures) made with a single- or bi-component system (<b>A</b>) or (<b>B</b>).</p>
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<p>Structure of linear polyethyleneimine, LPEI, with protonated and unprotonated amine groups, leading to crystallites formed by H-bonds between unprotonated amine groups, thermo-reversible hydrogels, and gelled emulsions (emulgels).</p>
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<p>Structure of copoly(2-methyl/phenyl-2-oxazoline), P(MeOx)-P(PhOx), polymer particles formed by stacking interactions between phenyl side groups, and resulting Pickering emulsion.</p>
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<p>Structures of 1,2-dipalmitoylphosphatidylcholine (DPPC) (<b>A</b>), 1,2-diamidophospholipid (<b>B</b>), and 1,3-diamidophospholipid (<b>C</b>) and their self-assembly in spherical (<b>A’</b>), cuboidal (<b>B’</b>), and Dform (<b>C’</b>) vesicles. The figure highlights the dependence of the geometric shape of liposomes on the intrinsic Gaussian and extrinsic total curvature (K and J, respectively).</p>
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<p>Structure of <span class="html-italic">N</span>,<span class="html-italic">N′</span>-didodecylmethylenediimidazolium ditriflate, schematic representation of H-bonds between imidazolium cations and anions (brown sphere (<b>A</b>)), planar bilayer arrangement with interdigitation of the akyl chains (<b>B</b>), and resulting vesicle with polyhedron core and spherical multilayer coat (<b>C</b>).</p>
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<p>Native cyclodextrin (CD) chemical structure and schematic representation of packing structures of channel, cage, and layer type CD crystals.</p>
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<p>Schematic representation of sequential self-assembly of complementary tectons (CDs and oil molecules), leading to Pickering emulsions.</p>
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<p>Schematic representation of Tetronics<sup>®</sup> 90R4 and 701 (orange = polypropylene oxide block and blue = polyethylene oxide block, black cylinder = central ethylene diamine), structure of α-CD/Tetronics<sup>®</sup> nanocrystallites and resulting Pickering emulsion.</p>
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<p>Schematic representation of self-assembled β-CD/SDS inclusion complexes (2:1 stoichiometry) into lamellar, helical tubular, and hollow rhombic dodecahedral architectures. The right inset shows the basic unit cell of columnar inclusion complexes in a 2D rhombic packing (quasi-monoclinic with the following parameters a = b ≠ c and α = β = 90° and γ ≠ 90°).</p>
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<p>Schematic representation of self-assembled γ-CD/<span class="html-italic">N</span>,<span class="html-italic">N′</span>-didodecyl-<span class="html-italic">N</span>,<span class="html-italic">N</span>,<span class="html-italic">N′</span>,<span class="html-italic">N′</span>-tetramethyl-<span class="html-italic">N</span>,<span class="html-italic">N′</span>-hexamethylenediamines inclusion complexes into lamellar, tubular, and spherical vesicular architectures. The right inset shows the basic unit cell of columnar inclusion complexes in a tetragonal packing.</p>
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<p>Schematic representation of self-assembled catanionic mixtures into icosahedral architectures made of about 10<sup>6</sup> ion pairs. The right inset shows one of the twelve pores produced by about 200 molecules due to the partial segregation of the anionic surfactant in excess.</p>
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<p>Schematic representation of self-assembled mixtures into inorganic–organic hybrid nanoparticle architectures made of H<sub>3</sub>PW<sub>12</sub>O<sub>40</sub> (1 equiv) and dodecyltrimethylammonium hydroxide (3 equiv). The lamellar internal arrangement allows the incorporation of small organic molecules, leading to swollen nanoparticles.</p>
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<p>Schematic representation of the two catalytic systems using inorganic–organic hybrid nanoparticle architectures: Pickering emulsions (<b>left</b>) and dispersion (<b>right</b>).</p>
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<p>Schematic representation of the sequential synthesis of hybrid architectures by self-assembly of CD and 1-decanol followed by addition of POMs.</p>
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<p>Synthesis of acidic/amphiphilic silica nanoparticles C<sub>n</sub>-SiO<sub>2</sub>-SO<sub>3</sub>H (n = 3, 8 or 18) and their schematic representation: (a) 1 g of Aerosil<sup>®</sup> 200, 4 mmol of alkyltrimethoxysilane, 16 mmol of (3-mercaptopropyl)trimethoxysilane, H<sub>2</sub>O/EtOH pH 9.6, reflux, 24 h; (b) 60 mL H<sub>2</sub>O<sub>2</sub> (50%), CH<sub>3</sub>CN, 40 °C, 24 h.</p>
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<p>Schematic representation of oxidative cleavage of epoxycyclohexane in a water-in-toluene Pickering emulsion stabilized by [C<sub>12</sub>]<sub>3</sub>[PW<sub>12</sub>O<sub>40</sub>] and C<sub>n</sub>-SiO<sub>2</sub>-SO<sub>3</sub>H catalytic nanoparticles.</p>
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<p>Schematic representation of epoxidation of cyclooctene in a water-in-toluene Pickering emulsion stabilized by [C<sub>12</sub>]<sub>3</sub>[PW<sub>12</sub>O<sub>40</sub>] and Au/SiO<sub>2</sub>-C<sub>3</sub> nanoparticles acting, respectively, as catalyst and as on-site heater/plasmon activators under UV irradiation.</p>
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<p>Self-assembled colloids from the colloidal tectonics approach versus surfactant aggregates.</p>
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14 pages, 2031 KiB  
Article
The Coordinated Control Strategy of Engine Starting Process in Power Split Hybrid Electric Vehicle Based on Load Observation
by Lijin Han, Xuan Zhou and Ningkang Yang
Electronics 2024, 13(17), 3373; https://doi.org/10.3390/electronics13173373 - 25 Aug 2024
Viewed by 778
Abstract
During the process of moving, the power splitting hybrid vehicle is required to start the engine to transfer from pure electric mode to hybrid drive mode. According to the structural characteristics of the system, the engine starting process was divided into four stages, [...] Read more.
During the process of moving, the power splitting hybrid vehicle is required to start the engine to transfer from pure electric mode to hybrid drive mode. According to the structural characteristics of the system, the engine starting process was divided into four stages, the engine starting process was established, and a multi-stage engine starting coordination control strategy was designed. In the engine reverse-drag process, the coordination control strategy was transformed into the optimal rotation rate tracker problem. In order to solve the load torque required in the tracking problem, a reduced-order observer was designed. Finally, the validity of the coordination control strategy was verified on the simulation platform of the electro-mechanical composite transmission system. The feasibility of the coordination control strategy was verified by hardware-in-the-loop simulation. The results show that the engine start coordination control strategy could achieve steady and fast engine start control. The maximal impact of the whole vehicle is reduced from 30 to 2.5 m/s3. Full article
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<p>Power split hybrid system structure diagram.</p>
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<p>Motor torque control algorithm in the phase of clutch speed regulation.</p>
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<p>Torque coordinated control coefficient of motor A.</p>
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<p>Coordinated control strategy for active speed regulation of engine.</p>
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<p>Ground load observer block diagram.</p>
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<p>Ground load observer simulation results.</p>
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<p>Engine starting process without coordinated control strategy.</p>
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<p>Engine starting process without coordinated control strategy.</p>
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<p>Engine starting process using a multi-stage coordinated control strategy.</p>
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<p>Engine starting process using a multi-stage coordinated control strategy.</p>
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<p>Hybrid system test bench.</p>
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<p>Hybrid system test bench connection diagram.</p>
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<p>Bench test results.</p>
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24 pages, 3196 KiB  
Review
Cutting-Edge Biomaterials in Intervertebral Disc Degeneration Tissue Engineering
by Yifan Wang, Chuyue Zhang, Junyao Cheng, Taoxu Yan, Qing He, Da Huang, Jianheng Liu and Zheng Wang
Pharmaceutics 2024, 16(8), 979; https://doi.org/10.3390/pharmaceutics16080979 - 24 Jul 2024
Cited by 1 | Viewed by 1575
Abstract
Intervertebral disc degeneration (IVDD) stands as the foremost contributor to low back pain (LBP), imposing a substantial weight on the world economy. Traditional treatment modalities encompass both conservative approaches and surgical interventions; however, the former falls short in halting IVDD progression, while the [...] Read more.
Intervertebral disc degeneration (IVDD) stands as the foremost contributor to low back pain (LBP), imposing a substantial weight on the world economy. Traditional treatment modalities encompass both conservative approaches and surgical interventions; however, the former falls short in halting IVDD progression, while the latter carries inherent risks. Hence, the quest for an efficacious method to reverse IVDD onset is paramount. Biomaterial delivery systems, exemplified by hydrogels, microspheres, and microneedles, renowned for their exceptional biocompatibility, biodegradability, biological efficacy, and mechanical attributes, have found widespread application in bone, cartilage, and various tissue engineering endeavors. Consequently, IVD tissue engineering has emerged as a burgeoning field of interest. This paper succinctly introduces the intervertebral disc (IVD) structure and the pathophysiology of IVDD, meticulously classifies biomaterials for IVD repair, and reviews recent advances in the field. Particularly, the strengths and weaknesses of biomaterials in IVD tissue engineering are emphasized, and potential avenues for future research are suggested. Full article
(This article belongs to the Special Issue Application Prospects of Hydrogels in Drug Delivery Systems)
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<p>Biomaterials used in intervertebral disc degeneration tissue engineering. Abbreviations: HA, hyaluronic acid; PEG, polyethylene glycol; PVA, polyvinyl alcohol; PAA, polyacrylic acid; PLA, poly(lactic acid); PLGA, poly(lactic-coglycolic acid); EVs, extracellular vesicles; IVDD, intervertebral disc degeneration.</p>
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<p>Application of natural hydrogels in IVDD tissue engineering. (<b>a</b>) Nucleobase-driven self-gelled hyaluronic acid-based injectable adhesive hydrogel [<a href="#B49-pharmaceutics-16-00979" class="html-bibr">49</a>]. Reproduced with permission from Copyright 2024 Wiley. (<b>b</b>) Dynamic self-healing gelatin hydrogel loaded with Kartogenin [<a href="#B58-pharmaceutics-16-00979" class="html-bibr">58</a>]. Reproduced with permission from Copyright 2023 Elsevier. (<b>c</b>) Injectable mesoporous bioactive glass/sodium alginate hydrogel loaded with melatonin [<a href="#B65-pharmaceutics-16-00979" class="html-bibr">65</a>]. Reproduced with permission from Copyright 2023 Elsevier. (<b>d</b>) Thermosensitive injectable chitosan hydrogel loaded with celecoxib [<a href="#B69-pharmaceutics-16-00979" class="html-bibr">69</a>]. Reproduced with permission from Copyright 2022 Frontiers.</p>
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<p>Application of synthetic hydrogels in IVDD tissue engineering. (<b>a</b>) Rapidly in situ forming an injectable chitosan/PEG hydrogel [<a href="#B85-pharmaceutics-16-00979" class="html-bibr">85</a>]. Reproduced with permission from Copyright 2023 Elsevier. (<b>b</b>) ROS-responsive PVA-tsPBA injectable hydrogel loaded with SLC7A11-modRNA [<a href="#B90-pharmaceutics-16-00979" class="html-bibr">90</a>]. Reproduced with permission from Copyright 2024 Wiley. (<b>c</b>) A novel biomimetic proteoglycan (BPG) by covalently linking natural chondroitin sulfate (CS) brushes to a synthetic PAA core [<a href="#B97-pharmaceutics-16-00979" class="html-bibr">97</a>]. Reproduced with permission from Copyright 2018 Elsevier.</p>
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<p>Injectable “peptide-cell-hydrogel” GelMA microsphere system [<a href="#B115-pharmaceutics-16-00979" class="html-bibr">115</a>]. Reproduced with permission from Copyright 2021 American Chemical Society.</p>
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<p>Thread-structural microneedles loaded with BMSCs-derived exosomes [<a href="#B125-pharmaceutics-16-00979" class="html-bibr">125</a>]. Reproduced with permission from Copyright 2024 Elsevier.</p>
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<p>Application of nanocarriers in IVDD tissue engineering. (<b>a</b>) Biomaterial pre-modification cell strategy using esterase-responsive ibuprofen nanomicelles [<a href="#B155-pharmaceutics-16-00979" class="html-bibr">155</a>]. Reproduced with permission from Copyright 2023 Elsevier. (<b>b</b>) Injectable kartogenin and apocynin-loaded nanomicelles [<a href="#B156-pharmaceutics-16-00979" class="html-bibr">156</a>]. Reproduced with permission from Copyright 2021 Elsevier. (<b>c</b>) Nanozyme consisting of a Co-doped NiO nanoparticle (CNO) core encapsulated with a polydopamine (PDA) shell [<a href="#B160-pharmaceutics-16-00979" class="html-bibr">160</a>]. Reproduced with permission from Copyright 2024 American Chemical Society. (<b>d</b>) A redox homeostasis modulatory hydrogel with GLRX3+ extracellular vesicles [<a href="#B167-pharmaceutics-16-00979" class="html-bibr">167</a>]. (A) The GDC@EVs-GLRX3 hydrogel system was synthesized from GelDA, Borax-ACS, and EVs-GLRX3. (B) The GDC@EVs-GLRX3 hydrogel system attenuated mitochondrial damage, decreased local senescence state, and restored matrix deposition of NP cells via ROS microenvironment mitigation. Reproduced with permission from Copyright 2023 American Chemical Society.</p>
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24 pages, 3427 KiB  
Article
New Frontiers in Water Distribution System Management and Monitoring: First Development of a Water Safety Plan Based on Heritage Building Information Modeling (HBIM) in Neptune Fountain, Bologna, Italy
by Maria Rosaria Pascale, Domenico Simone Roggio, Ester Barbieri, Federica Marino, Carlo Derelitto, Luna Girolamini, Cristiana Bragalli, Gabriele Bitelli and Sandra Cristino
Water 2024, 16(15), 2075; https://doi.org/10.3390/w16152075 - 23 Jul 2024
Viewed by 1761
Abstract
The World Health Organization (WHO) recommends the introduction of a water safety plan (WSP) approach on drinking water, in all types of settings. This study represents the first WSP developed on the Neptune Fountain, in Bologna (Italy), based on an interdisciplinary approach, integrating [...] Read more.
The World Health Organization (WHO) recommends the introduction of a water safety plan (WSP) approach on drinking water, in all types of settings. This study represents the first WSP developed on the Neptune Fountain, in Bologna (Italy), based on an interdisciplinary approach, integrating hydraulic and microbiological features, in a Building Information Modeling (BIM). The aim was to develop a dynamic and digital platform to update and share the maintenance program, promoting collaboration among microbiologists, engineers, and municipal staff. Water samples were collected along fountain water distribution systems (WDS) from 2016 to 2021 to monitor water quality through the heterotrophic bacteria at 22 °C and 37 °C, as well as to conduct an Enterococci, Coliform bacteria, Escherichia coli, Pseudomonas aeruginosa, Clostridium perfringens, and Staphylococcus aureus assessment. Simultaneously, hydraulic measures were performed, and advanced geomatics techniques were used to detect the WDS structural components, with a focus on the water treatment system (WTS). The WTS consisted of 10 modules corresponding to specific treatments: descaling, carbon–sand filtration, reverse osmosis, and ultraviolet disinfection. Fecal indicators, heterotrophic bacteria, and P. aeruginosa exceeded the reference limits in most of the modules. Several disinfections and washing treatments, other than changing the maintenance procedure scheduling, were performed, improving the WTS and controlling the contamination. The developed microbiological results, hydraulic measurements, and maintenance procedures were integrated in the BIM model to optimize the data storage, updating procedures and the real-time data sharing. This approach improved the fountain management, operation, and material conservation, ultimately preserving the health of daily visitors. Full article
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<p>Neptune Fountain in Bologna with a detail of the water games.</p>
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<p>The overall scheme of the current operation of the Neptune Fountain (the light blue lines represent the water game trajectories).</p>
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<p>Neptune Fountain WDS layout: Water treatment system (WTS) in green lines and reintegration system (RS) in blue lines.</p>
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<p>Post-processing steps for a section of the Neptune Fountain’s RS from the point cloud to the HBIM model: (<b>A</b>) 3D point cloud model; (<b>B</b>) 3D point cloud model vs HBIM model; (<b>C</b>) final HBIM model.</p>
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<p>WTS layout of Neptune Fountain with sampling points for microbiological (indicated in black) and hydraulic analysis (indicated in pink). The WTS and RS are indicated with green and blue lines, respectively.</p>
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<p>Neptune Fountain WTS 3D model: (<b>A</b>) WTS plan; (<b>B</b>) the two main treatment systems; (<b>C</b>) the subsystems called modules; (<b>D</b>) single WTS hydraulics and treatments components.</p>
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<p>(<b>A</b>) Section of WTS 3D visualization on BIM Vision<sup>®</sup> software; (<b>B</b>) selection of a sampling point along the WTS and IFC tree structure that displays how the model works. In detail, when a specific point is clicked (green colour), all relevant information is reported (e.g., pipeline material, type of pumps, volume of storage tank, etc.), and a URL link led to the storage folders; (<b>C</b>) example of storage folder associated with the individual sampling points containing the files related to the microbiological water assessment files.</p>
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29 pages, 18651 KiB  
Article
Realization of Impression Evidence with Reverse Engineering and Additive Manufacturing
by Osama Abdelaal and Saleh Ahmed Aldahash
Appl. Sci. 2024, 14(13), 5444; https://doi.org/10.3390/app14135444 - 23 Jun 2024
Cited by 1 | Viewed by 1584
Abstract
Significant advances in reverse engineering and additive manufacturing have the potential to provide a faster, accurate, and cost-effective process chain for preserving, analyzing, and presenting forensic impression evidence in both 3D digital and physical forms. The objective of the present research was to [...] Read more.
Significant advances in reverse engineering and additive manufacturing have the potential to provide a faster, accurate, and cost-effective process chain for preserving, analyzing, and presenting forensic impression evidence in both 3D digital and physical forms. The objective of the present research was to evaluate the capabilities and limitations of five 3D scanning technologies, including laser scanning (LS), structured-light (SL) scanning, smartphone (SP) photogrammetry, Microsoft Kinect v2 RGB-D camera, and iPhone’s LiDAR (iLiDAR) Sensor, for 3D reconstruction of 3D impression evidence. Furthermore, methodologies for 3D reconstruction of latent impression and visible 2D impression based on a single 2D photo were proposed. Additionally, the FDM additive manufacturing process was employed to build impression evidence models created by each procedure. The results showed that the SL scanning system generated the highest reconstruction accuracy. Consequently, the SL system was employed as a benchmark to assess the reconstruction quality of other systems. In comparison to the SL data, LS showed the smallest absolute geometrical deviations (0.37 mm), followed by SP photogrammetry (0.78 mm). In contrast, the iLiDAR exhibited the largest absolute deviations (2.481 mm), followed by Kinect v2 (2.382 mm). Additionally, 3D printed impression replicas demonstrated superior detail compared to Plaster of Paris (POP) casts. The feasibility of reconstructing 2D impressions into 3D models is progressively increasing. Finally, this article explores potential future research directions in this field. Full article
(This article belongs to the Special Issue Advances in 3D Sensing Techniques and Its Applications)
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<p>Examples of impression evidence types: (<b>a</b>) 3D tire–footwear plastic impression in dry sand; (<b>b</b>) 2D latent fingerprint developed on aluminum foil [<a href="#B12-applsci-14-05444" class="html-bibr">12</a>]; (<b>c</b>) 2D visible footwear impression (courtesy of Scott Campbell, Ron Smith &amp; Associates, Inc. (Collinsville, MS, USA)).</p>
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<p>Classification for 3D scanning techniques.</p>
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<p>Classification of AM processes.</p>
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<p>Generic additive manufacturing procedure.</p>
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<p>Schematic of the FDM additive manufacturing process.</p>
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<p>The reference footwear. Vertical red arrows refer to the artificial individual characteristics: (<b>1</b>) wear, (<b>2</b>) hole, (<b>3</b>) scratches and (<b>4</b>) cut. Horizontal blue arrows refer to class characteristics: (<b>5</b>) brand name, (<b>6</b>) logo, and (<b>7</b>) size.</p>
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<p>The footwear impression in the sandbox. The white target dots are reflective reference points used by 3D laser scanner to generate 3D coordinates.</p>
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<p>Workflow of footwear impression 3D reconstruction using HandySCAN 307 laser scanner: (<b>a</b>) scanning; (<b>b</b>) image processing; (<b>c</b>) impression model.</p>
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<p>3D reconstruction of footwear impression by using the EinScan-SP structured-light scanner: (<b>a</b>) scanning; (<b>b</b>) image processing; (<b>c</b>) impression model.</p>
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<p>3D reconstruction of footwear impression by photogrammetry using Autodesk Recap Photo: (<b>a</b>) Taking a series of overlapping photos; (<b>b</b>) image processing; (<b>c</b>) impression model.</p>
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<p>3D reconstruction of footwear impression by Microsoft Kinect v2 depth sensor: (<b>a</b>) scanning; (<b>b</b>) image processing; (<b>c</b>) impression model.</p>
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<p>(<b>a</b>) The main features of the LiDAR system in iPhone 13; (<b>b</b>) the 3D reconstruction scene of footwear impression by in Polycam app; and (<b>c</b>) impression model.</p>
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<p>Workflow of 3D digital reconstruction and 3D Printing of the plastic footwear impression models: (<b>a</b>) the reference footwear outsole, (<b>b</b>) impression, (<b>c</b>) 3D scanning, (<b>d</b>) processing, (<b>e</b>) final impression model, (<b>f</b>) preparation for printing, (<b>g</b>) 3D printing of 3D footwear impression, and (<b>h</b>) the 3D printed final impression.</p>
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<p>Workflow of 3D reconstruction and 3D Printing of 2D latent fingerprint impressions: (<b>a</b>) lifting the fingerprint at crime scene; (<b>b</b>) fingerprint image preparation and enhancement (adopted from Priesnitz et al. [<a href="#B29-applsci-14-05444" class="html-bibr">29</a>] with permission from Elsevier); (<b>c</b>) generation of 2D vector model; (<b>d</b>) create 3D CAD model; (<b>e</b>) STL model slicing and toolpath generation; and (<b>f</b>) 3D printing the impression in different scales.</p>
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<p>Workflow of 3D reconstruction and 3D Printing of a 2D visible impressions: (<b>a</b>) Photographing the shoe print at crime scene; (<b>b</b>) preparing the image and applying enhancements, if necessary (impression adopted from [<a href="#B30-applsci-14-05444" class="html-bibr">30</a>], with permission from Elsevier); (<b>c</b>) photograph Applied to substrate surface in Solidworks; (<b>d</b>) generating 3D CAD model by 3D texture tool; (<b>e</b>) STL slicing, toolpath and G-Code generation in Cura; and (<b>f</b>) 3D printing of the model.</p>
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<p>The overall reconstruction scene of the footwear outsole impression (<b>a</b>) acquired via: (<b>b</b>) structured-light scanner; (<b>c</b>) handheld laser scanner; (<b>d</b>) Smartphone photogrammetry; (<b>e</b>) Kinect v2 RGB-D camera; and (<b>f</b>) iPhone LiDAR.</p>
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<p>Side by side morphometrical comparison of the known footwear outsole (<b>a</b>), and surface models of footwear outsole impressions in dry sand generated by: (<b>b</b>) EinScan-SP structured-light 3D scanner; (<b>c</b>) HandySCAN 3D handheld laser scanner; (<b>d</b>) smartphone photogrammetry; (<b>e</b>) MS Kinect v2 RGB-D sensor; (<b>f</b>) iPhone’s LiDAR sensor. (Scale bar: 50 mm).</p>
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<p>Enlarged view of heel area of: (<b>a</b>) the known reference outsole; (<b>b</b>) POP Cast, and 3D CAD Models of the questioned outsole impressions acquired by: (<b>c</b>) EinScan-SP structured-light 3D scanner; (<b>d</b>) HandySCAN 3D handheld laser scanner; (<b>e</b>) smartphone photogrammetry; (<b>f</b>) MS Kinect v2 RGB-D camera; (<b>g</b>) iLiDAR sensor. Class characteristics, indicated by numbered vertical blue arrows, include the brand name (FORKLIFT) (<b>1</b>), size (44/10) (<b>2</b>), and general trade design. Individual characteristics, marked by numbered horizontal red arrows, comprise the hole (<b>3</b>) and wear region (<b>4</b>). (Scale bar: 20 mm).</p>
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<p>Enlarged view of forefoot area of: (<b>a</b>) the known reference outsole; (<b>b</b>) POP cast, and 3D CAD models of the questioned outsole impressions acquired by: (<b>c</b>) EinScan-SP structured-light 3D scanner; (<b>d</b>) HandySCAN 3D handheld laser scanner; (<b>e</b>) smartphone photogrammetry; (<b>f</b>) MS Kinect v2 RGB-D camera; (<b>g</b>) iLiDAR sensor. Class characteristics noted with numbered vertical blue arrow (logo (CE) (<b>1</b>), and general trade design). Individual characteristics noted with numbered horizontal red arrows (cuts (<b>2</b>), and scratches (<b>3</b>,<b>4</b>)). (Scale bar: 20 mm).</p>
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<p>Color maps and distance plots of the impression point clouds generated by: (<b>a</b>) EinScan-SP structured-light 3D scanner (reference mesh); (<b>b</b>) HandySCAN 3D handheld laser scanner; (<b>c</b>) smartphone photogrammetry; (<b>d</b>) MS Kinect v2 RGB-D sensor; and (<b>e</b>) iPhone’s LiDAR sensor, contracted against a photograph of the plastic footwear impression in dry sand (<b>f</b>). Distance values are in millimeters.</p>
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<p>Color maps and distance plots of the impression point clouds generated by: (<b>a</b>) EinScan-SP structured-light 3D scanner (reference mesh); (<b>b</b>) HandySCAN 3D handheld laser scanner; (<b>c</b>) smartphone photogrammetry; (<b>d</b>) MS Kinect v2 RGB-D sensor; and (<b>e</b>) iPhone’s LiDAR sensor, contracted against a photograph of the plastic footwear impression in dry sand (<b>f</b>). Distance values are in millimeters.</p>
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<p>A histogram of the comparison analysis results for impression model acquired by HandySCAN 3D handheld laser scanner.</p>
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<p>A side-by-side comparison of 3D printed impression replicas build from models acquired by: (<b>d</b>) EinScan-SP structured-light 3D scanner; (<b>e</b>) HandySCAN 3D handheld laser scanner; (<b>f</b>) smartphone photogrammetry; (<b>g</b>) MS Kinect v2 RGB-D sensor; and (<b>h</b>) iPhone’s LiDAR sensor contrasted against (<b>a</b>) the reference footwear outsole; (<b>b</b>) the impression; and (<b>c</b>) the POP cast.</p>
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<p>A side-by-side comparison of 3D printed impression replicas build from models acquired by: (<b>d</b>) EinScan-SP structured-light 3D scanner; (<b>e</b>) HandySCAN 3D handheld laser scanner; (<b>f</b>) smartphone photogrammetry; (<b>g</b>) MS Kinect v2 RGB-D sensor; and (<b>h</b>) iPhone’s LiDAR sensor contrasted against (<b>a</b>) the reference footwear outsole; (<b>b</b>) the impression; and (<b>c</b>) the POP cast.</p>
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<p>Surface quality of the as-built FDMed plastic impressions: (<b>a</b>) 3D printed outsole plastic impression; (<b>b</b>) Enlarged view showing the free-form nature of 3D printed outsole impression surface with different inclination of the sidewall and near-flat surfaces; and (<b>c</b>) representation of corresponding stair-step effect inherent to FDM at different build inclinations.</p>
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<p>FDM-printed latent fingerprint impression: (<b>a</b>) fingerprint reference image (adopted from Priesnitz et al. [<a href="#B29-applsci-14-05444" class="html-bibr">29</a>] with permission from Elsevier); (<b>b</b>) corresponding FDM-printed fingerprint replica in scaled up and life sizes. (Scale bar: 30 mm).</p>
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<p>FDM-printed model of 2D visible impression of a known footwear: (<b>a</b>) Reference 2D visible impression (adopted from [<a href="#B30-applsci-14-05444" class="html-bibr">30</a>], with permission from Elsevier); (<b>b</b>) corresponding FDM-printed model of the 2D visible impression of the known footwear outsole.</p>
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<p>FDM-printed models of 2D visible impression of an unknown footwear: footwear im-pression in blood on white cotton before enhancement (<b>a</b>) and after enhancement (<b>b</b>) (both adopted from [<a href="#B32-applsci-14-05444" class="html-bibr">32</a>], with permission from Elsevier); (<b>c</b>) corresponding FDM-printed replica; (<b>d</b>) corresponding inverted FDM-printed replica for extra visualization. (Scale bar: 40 mm).</p>
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32 pages, 6718 KiB  
Article
Understanding the SARS-CoV-2–Human Liver Interactome Using a Comprehensive Analysis of the Individual Virus–Host Interactions
by Giovanni Colonna
Livers 2024, 4(2), 209-239; https://doi.org/10.3390/livers4020016 - 30 Apr 2024
Cited by 3 | Viewed by 1431
Abstract
Many metabolic processes at the molecular level support both viral attack strategies and human defenses during COVID-19. This knowledge is of vital importance in the design of antiviral drugs. In this study, we extracted 18 articles (2021–2023) from PubMed reporting the discovery of [...] Read more.
Many metabolic processes at the molecular level support both viral attack strategies and human defenses during COVID-19. This knowledge is of vital importance in the design of antiviral drugs. In this study, we extracted 18 articles (2021–2023) from PubMed reporting the discovery of hub nodes specific for the liver during COVID-19, identifying 142 hub nodes. They are highly connected proteins from which to obtain deep functional information on viral strategies when used as functional seeds. Therefore, we evaluated the functional and structural significance of each of them to endorse their reliable use as seeds. After filtering, the remaining 111 hubs were used to obtain by STRING an enriched interactome of 1111 nodes (13,494 interactions). It shows the viral strategy in the liver is to attack the entire cytoplasmic translational system, including ribosomes, to take control of protein biosynthesis. We used the SARS2-Human Proteome Interaction Database (33,791 interactions), designed by us with BioGRID data to implement a reverse engineering process that identified human proteins actively interacting with viral proteins. The results show 57% of human liver proteins are directly involved in COVID-19, a strong impairment of the ribosome and spliceosome, an antiviral defense mechanism against cellular stress of the p53 system, and, surprisingly, a viral capacity for multiple protein attacks against single human proteins that reveal underlying evolutionary–topological molecular mechanisms. Viral behavior over time suggests different molecular strategies for different organs. Full article
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<p>Comprehensive interactome of liver tissue proteins during COVID-19. STRING calculated the graph through enrichment, using as seeds the set of 111 hub proteins obtained after pruning. We enriched this network with 500 first-order (direct) nodes and 500 second-order (indirect) nodes. Settings: interaction score of 0.900 (highest confidence); all six channels open. Network parameters: number of nodes, 1111; number of edges, 13,494, while expected statistical number is 8838; average node degree, 24.3; avg. local clustering coefficient, 0.623; PPI <span class="html-italic">p</span>-value, &lt;1.0 × 10<sup>−16</sup>; network diameter, 7; network density, 0.022; network heterogeneity, 1.030; network centralizations, 0.128; connected components, 1. (Topological parameters calculated by Cytoscape).</p>
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<p>Role of TP53 (p53) and RPS27A in liver infection by SARS-CoV-2. The network is that of <a href="#livers-04-00016-f001" class="html-fig">Figure 1</a> and the nodes at the top left have been carefully extrapolated to highlight both the mutual relationships and the abundance of functional connections with the central core of the network. The degree for each single node is RPL11, 104; MDM2, 45; TP53, 133; RPS27A, 161; TP53BP1, 23; SIRT1, 26; HIF1A, 35; HIF1AN, 5. The colors of the individual nodes show the type of metabolic stress (DNA damage and/or hypoxia) induced by COVID-19 in the liver. The biological stress processes (GO) activated are those shown in <a href="#livers-04-00016-t002" class="html-table">Table 2</a>.</p>
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<p>Distribution of viral proteins interacting with single human proteins. The curve is the exponential fit (displayed at the top right). Data calculated from <a href="#app1-livers-04-00016" class="html-app">EXCEL FILE S3</a>. The figure also shows the most targeted human proteins (from 10 onwards). The asterisked proteins are those that also interact with ORF1ab.</p>
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<p>Linear distributions of interacting viral proteins with a single human protein (log–log scales). <b>Upper figure</b>—Distribution graph considered as a single power law. Fitting: f(x) = 431.26 x<sup>−1.66</sup> and R<sup>2</sup> is 0.3675. <b>Lower figure</b>—Biphasic representation of the power law. The graph displays the fitting equations. TD is the transition degree, the estimated point (marked by blue star) at which the slope of the distribution sharply changes. Its value is around 12.</p>
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<p>Linear distributions of interacting viral proteins with a single human protein (log–log scales). <b>Upper figure</b>—Distribution graph considered as a single power law. Fitting: f(x) = 431.26 x<sup>−1.66</sup> and R<sup>2</sup> is 0.3675. <b>Lower figure</b>—Biphasic representation of the power law. The graph displays the fitting equations. TD is the transition degree, the estimated point (marked by blue star) at which the slope of the distribution sharply changes. Its value is around 12.</p>
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17 pages, 1727 KiB  
Review
Cell Culture Adaptive Amino Acid Substitutions in FMDV Structural Proteins: A Key Mechanism for Altered Receptor Tropism
by Hassan Mushtaq, Syed Salman Shah, Yusra Zarlashat, Mazhar Iqbal and Wasim Abbas
Viruses 2024, 16(4), 512; https://doi.org/10.3390/v16040512 - 27 Mar 2024
Viewed by 2463
Abstract
The foot-and-mouth disease virus is a highly contagious and economically devastating virus of cloven-hooved animals, including cattle, buffalo, sheep, and goats, causing reduced animal productivity and posing international trade restrictions. For decades, chemically inactivated vaccines have been serving as the most effective strategy [...] Read more.
The foot-and-mouth disease virus is a highly contagious and economically devastating virus of cloven-hooved animals, including cattle, buffalo, sheep, and goats, causing reduced animal productivity and posing international trade restrictions. For decades, chemically inactivated vaccines have been serving as the most effective strategy for the management of foot-and-mouth disease. Inactivated vaccines are commercially produced in cell culture systems, which require successful propagation and adaptation of field isolates, demanding a high cost and laborious time. Cell culture adaptation is chiefly indebted to amino acid substitutions in surface-exposed capsid proteins, altering the necessity of RGD-dependent receptors to heparan sulfate macromolecules for virus binding. Several amino acid substations in VP1, VP2, and VP3 capsid proteins of FMDV, both at structural and functional levels, have been characterized previously. This literature review combines frequently reported amino acid substitutions in virus capsid proteins, their critical roles in virus adaptation, and functional characterization of the substitutions. Furthermore, this data can facilitate molecular virologists to develop new vaccine strains against the foot-and-mouth disease virus, revolutionizing vaccinology via reverse genetic engineering and synthetic biology. Full article
(This article belongs to the Special Issue Viral Receptors and Tropism)
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<p>Genomic organization of FMDV and capsid assembly. Panel (<b>a</b>): The FMDV genome contains a 5′ UTR covalently attached to a viral genome linked protein (VPg) and a large open reading frame followed by a 3′ UTR with a 100 base pair long stem-loop structure. Panel (<b>b</b>): A large open reading frame encodes a polyprotein precursor processed into four distinct structural and eleven non-structural proteins via cellular and viral proteases. Non-structural proteins, including Lb pro, Lab pro, 2A, 2B, 2C, 3A, 3B1, 3B2, 3B3, and 3D, chiefly regulate the FMDV maturation and replication, while structural proteins VP1, VP2, VP3, and VP4 are building blocks of the virus capsid. Structural proteins are synthesized during the initial cleavage of the polyprotein P1 region, such as VP1, VP0, and VP3, and are assembled to form an outer capsid. The further cleavage of VP0 produces VP2 and VP4 proteins arranged to make internal capsid surfaces. Panel (<b>c</b>): The FMDV capsid has a T = psuedo3 icosahedral symmetry, tightly packed with twelve asymmetrical pentamers, each containing five protomers made up of four structural proteins.</p>
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<p>Cartoon diagram of a VP1 protein. A 3D model of VP1 was constructed from serotype O FMDV (PDB ID: 1FOD) with PyMOL protein visualization software, V2.5.4. The RGD motif that is mainly responsible for binding with integrin receptors is highlighted in green color, while surface-exposed loops (i.e., EF loops and HI loops) are highlighted in brown circles.</p>
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<p>Cartoon diagram of the VP2 protein. A 3D model was constructed from Serotype O FMDV (PDB ID: 1qqp) with PyMOL protein visualization software V2.5.4. The surface exposed loops (E-F loop, B-C loop, H-I loop, and F-G loop) are highlighted in brown circles.</p>
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<p>Cartoon diagram of VP3 protein. A 3D model was constructed from Serotype O FMDV (PDB ID: 1qqp) with PyMOL protein visualization software V2.5.4. The surface exposed loops (E-F loop, B-C loop, H-I loop, D-E loop) are highlighted in brown circles.</p>
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<p>Cartoon diagram of VP4 protein. A 3D model was constructed from Serotype O FMDV (PDB ID: 1qqp) with PyMOL protein visualization software V2.5.4. The structure of VP4 residue 40 to 64 is still unresolved and shown here in the form of a gap.</p>
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16 pages, 6404 KiB  
Article
3D Reverse-Time Migration Imaging for Multiple Cross-Hole Research and Multiple Sensor Settings of Cross-Hole Seismic Exploration
by Fei Cheng, Daicheng Peng and Sansheng Yang
Sensors 2024, 24(3), 815; https://doi.org/10.3390/s24030815 - 26 Jan 2024
Cited by 1 | Viewed by 1200
Abstract
The two-dimensional (2D) cross-hole seismic computed tomography (CT) imaging acquisition method has the potential to characterize the target zone optimally compared to surface seismic surveys. It has wide applications in oil and gas exploration, engineering geology, etc. Limited to 2D hole velocity profiling, [...] Read more.
The two-dimensional (2D) cross-hole seismic computed tomography (CT) imaging acquisition method has the potential to characterize the target zone optimally compared to surface seismic surveys. It has wide applications in oil and gas exploration, engineering geology, etc. Limited to 2D hole velocity profiling, this method cannot acquire three-dimensional (3D) information on lateral geological structures outside the profile. Additionally, the sensor data received by cross-hole seismic exploration constitute responses from geological bodies in 3D space and are potentially affected by objects outside the well profiles, distorting the imaging results and geological interpretation. This paper proposes a 3D cross-hole acoustic wave reverse-time migration imaging method to capture 3D cross-hole geological structures using sensor settings in multi-cross-hole seismic research. Based on the analysis of resulting 3D cross-hole images under varying sensor settings, optimizing the observation system can aid in the cost-efficient obtainment of the 3D underground structure distribution. To verify this method’s effectiveness on 3D cross-hole structure imaging, numerical simulations were conducted on four typical geological models regarding layers, local high-velocity zones, large dip angles, and faults. The results verify the model’s superiority in providing more reliable and accurate 3D geological information for cross-hole seismic exploration, presenting a theoretical basis for processing and interpreting cross-hole data. Full article
(This article belongs to the Special Issue Advances in 3D Imaging and Multimodal Sensing Applications)
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<p>Flowchart of implementation.</p>
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<p>XOY plan of well location and the observation system with sensor settings of cross-hole seismic method.</p>
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<p>3D theoretical geological models: (<b>a</b>) three-horizontal-strata geological model; (<b>b</b>) layer structure embedded with a high-velocity ellipsoid model; (<b>c</b>) 60° dip angel geological model; (<b>d</b>) fault geological model. All parameters in the models are shown in <a href="#sensors-24-00815-t002" class="html-table">Table 2</a>.</p>
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<p>Comparison of single-shot RTM image denoising of 3D layered model.</p>
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<p>Comparison of single-shot RTM image denoising of 3D layered model.</p>
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<p>(<b>a</b>) Observation system of the wells’ location; (<b>b</b>) experimental layered model.</p>
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<p>Schematic diagram of different well locations with sensor settings for different observation systems: (<b>a</b>) 4 wells; (<b>b</b>) 6 wells; (<b>c</b>–<b>e</b>) 8 wells; (<b>f</b>) 12 wells.</p>
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<p>3D RTM imaging results for different well locations: (<b>a</b>) 4 wells; (<b>b</b>) 6 wells; (<b>c</b>–<b>e</b>) 8 wells; (<b>f</b>) 12 wells.</p>
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<p>Model-1 records and 3D RTM imaging results: (<b>a</b>) well-3 received records; (<b>b</b>) well-7 received records; (<b>c</b>) 3D imaging results of model-1.</p>
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<p>Model-2 records and 3D RTM imaging results: (<b>a</b>) well-3 received records; (<b>b</b>) well-7 received records; (<b>c</b>) 3D imaging results of model-2.</p>
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<p>Model-3 and model-4 3D RTM imaging results: (<b>a</b>) imaging results of the model with large dip angle interface; (<b>b</b>) imaging result of a complicated model (fault model).</p>
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<p>Model-1 records and 3D RTM imaging results of data contaminated with random noise: (<b>a</b>) single-shot recording of data contaminated with random noise; (<b>b</b>) imaging result of data contaminated with random noise.</p>
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23 pages, 4651 KiB  
Review
Recent Advances in the Preparation and Application of DNA-Encoded Metal Nanoclusters
by Fang Yin, Jiangtao Ren and Erkang Wang
Chemistry 2023, 5(4), 2418-2440; https://doi.org/10.3390/chemistry5040160 - 10 Nov 2023
Viewed by 1892
Abstract
DNA as an intriguing organic ligand has been widely employed for synthesizing metal nanoclusters and engineering their properties. This review aims to present recent progress on DNA-encoded metal (Ag, Cu, Au, Ag/Pt, Cu/Ag, etc.) nanoclusters (DNA-MNCs), focusing on their applications in the fields [...] Read more.
DNA as an intriguing organic ligand has been widely employed for synthesizing metal nanoclusters and engineering their properties. This review aims to present recent progress on DNA-encoded metal (Ag, Cu, Au, Ag/Pt, Cu/Ag, etc.) nanoclusters (DNA-MNCs), focusing on their applications in the fields of analysis, logic operation, and therapy based on properties including fluorescence, electrochemiluminescence (ECL), and antibacterial and catalytic activity, and summarizes the attractive features of the latest research. The key points are briefly described as follows. (1) Analytical systems have been constructed based on fluorescence regulation, and nuclease-assisted and enzyme-free amplification strategies have been extensively adopted with fluorescent DNA-MNCs for amplified analysis. (2) DNA-MNCs may play more than one role (emitter, quencher, or catalyst) in ECL-based analytical systems. (3) Apart from antibacterial activity, DNA-MNCs also possess apparent catalytic capability, such as enzyme-like activity (i.e., nanozymes), which has been applied in colorimetric systems. (4) Reversibly regulating the catalytic activity of DNA-MNCs has been attained with DNA systems. It is believed that through in-depth investigation of the relationship between atomic structure and property, more novel DNA-MNCs will be explored and applied in the future. Full article
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<p>(<b>A</b>) Schematic illustration of a universal ratiometric nanoprobe based on spectral conversion of DNA-Ag NCs due to adjacent poly G sequence after hybridization, reproduced with permission from Ref. [<a href="#B61-chemistry-05-00160" class="html-bibr">61</a>]. Copyright 2022, Elsevier B.V. Publishers. (<b>B</b>) A scheme illustrating detection of two ARGs in aquatic environments based on chameleon DNA-Ag NCs, due to adjacent poly G, reproduced with permission from Ref. [<a href="#B62-chemistry-05-00160" class="html-bibr">62</a>]. Copyright 2023, Elsevier B.V. Publishers.</p>
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<p>(<b>A</b>) The principle of a simple and sensitive miRNA detection strategy based on inhibition of DSNSA on the fluorescence enhancement, reproduced with permission from Ref. [<a href="#B63-chemistry-05-00160" class="html-bibr">63</a>]. Copyright 2022, Elsevier B.V. Publishers. (<b>B</b>) A sensing system for HBV DNA detection by virtue of CRISPR-Cas12a enzyme and DNA-MNCs luminescent nanoprobes, reproduced with permission from Ref. [<a href="#B74-chemistry-05-00160" class="html-bibr">74</a>]. Copyright 2022, Elsevier B.V. Publishers. (<b>C</b>) DNA-Cu NC-based and Exo III-assisted amplified detection of miRNA-122, reproduced with permission from Ref. [<a href="#B71-chemistry-05-00160" class="html-bibr">71</a>]. Copyright 2023, MDPI Publishers.</p>
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<p>(<b>A</b>) The principle of a multifunctional biosensing platform for bacterial gene detection, in combination with LAMP, CRISPR/Cas12a, and DNA-Ag NCs, reproduced with permission from Ref. [<a href="#B64-chemistry-05-00160" class="html-bibr">64</a>]. Copyright 2022, Elsevier B.V. Publishers. (<b>B</b>) The principle of SMN detection for diagnosis of SMA by using PCR, RCA, and fluorescent poly T-Cu NCs, reproduced with permission from Ref. [<a href="#B73-chemistry-05-00160" class="html-bibr">73</a>]. Copyright 2020, Elsevier B.V. Publishers.</p>
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<p>(<b>A</b>) The principle of a label-free and enzyme-free method for DNA detection based on CHA and DNA-Ag NCs, reproduced with permission from Ref. [<a href="#B65-chemistry-05-00160" class="html-bibr">65</a>]. Copyright 2022, Elsevier B.V. Publishers. (<b>B</b>) The cascaded CHA for ratiometric detection of circRNA with chameleon DNA-Ag NCs, reproduced with permission from Ref. [<a href="#B66-chemistry-05-00160" class="html-bibr">66</a>]. Copyright 2022, Elsevier B.V. Publishers.</p>
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<p>(<b>A</b>) A scheme illustrating a logic device based on dimeric DNA-Ag NCs using a hairpin DNA template with two emitter-nucleation sequences, unique fluorescence property, and input-stimulated emission change, reproduced with permission from Ref. [<a href="#B67-chemistry-05-00160" class="html-bibr">67</a>]. Copyright 2020, WILEY-VCH Verlag GmbH &amp; Co. KGaA Publishers. (<b>B</b>) Schematic illustration of a fluorescent platform for one-pot rapid identification of fusion gene subtypes based on dimerization of DNA-Ag NCs and fluorescence change, reproduced with permission from Ref. [<a href="#B2-chemistry-05-00160" class="html-bibr">2</a>]. Copyright 2023, Wiley-VCH Publishers.</p>
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<p>(<b>A</b>) A scheme illustrating Aam detection based on FRET between SCUCNPs and DNA-Ag NCs, reproduced with permission from Ref. [<a href="#B68-chemistry-05-00160" class="html-bibr">68</a>]. Copyright 2022, Elsevier B.V. Publishers. (<b>B</b>) DNA nanoribbon-guided DNA-Cu NC synthesis and fluorescence improvement, reproduced with permission from Ref. [<a href="#B69-chemistry-05-00160" class="html-bibr">69</a>]. Copyright 2020, Wiley-VCH Publishers.</p>
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<p>(<b>A</b>) The principle of a label-free ECL biosensor with DNA-Cu NCs as ELC luminophores for detection of RNaseH activity, the red stars indicate thiol group, reproduced with permission from Ref. [<a href="#B96-chemistry-05-00160" class="html-bibr">96</a>]. Copyright 2022, Elsevier B.V. Publishers. (<b>B</b>) An amplified ECL method for detecting telomerase activity based on DNA walker-triggered ECL-RET between CdS QDs and probe-Ag NCs, reproduced with permission from Ref. [<a href="#B97-chemistry-05-00160" class="html-bibr">97</a>]. Copyright 2020, Elsevier B.V. Publishers. (<b>C</b>) A ratiometric biosensor for sensitive detection of estriol based on the FL-RET between Ag NCs and Pt NPs and ECL-RET between CdS QDs and Ag NCs, reproduced with permission from Ref. [<a href="#B106-chemistry-05-00160" class="html-bibr">106</a>]. Copyright 2023, Elsevier B.V. Publishers. (<b>D</b>) DNA nanoribbon-guided assembling of DNA-MNCs and ECL enhancement, * indicate the excited state of Cu NCs, reproduced with permission from Ref. [<a href="#B3-chemistry-05-00160" class="html-bibr">3</a>]. Copyright 2023, Wiley-VCH Publishers.</p>
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<p>Preparation of one antibacterial DNA hydrogel containing DNA-Ag NCs, reproduced with permission from Ref. [<a href="#B5-chemistry-05-00160" class="html-bibr">5</a>]. Copyright 2022, American Chemical Society Publishers.</p>
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<p>A colorimetric and amplified method for CEA detection based on POD-like catalytic activity of DNA-Ag/Pt NCs and nuclease-assisted DNA amplification reactions, reproduced with permission from Ref. [<a href="#B118-chemistry-05-00160" class="html-bibr">118</a>]. Copyright 2022, Elsevier B.V. Publishers.</p>
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<p>(<b>A</b>) Preparation of DNA-Cu/Ag NCs with a C/G-rich DNA sequence and their application for glucose based on POD-like catalytic activity, reproduced with permission from Ref. [<a href="#B120-chemistry-05-00160" class="html-bibr">120</a>]. Copyright 2020, Wiley-VCH Verlag GmbH &amp; Co. KGaA Publishers. (<b>B</b>) Reversible regulation of catalytic activity of DNA-Ag NCs based on their differential interactions with DNA structures and stimuli-responsive structural transition, reproduced with permission from Ref. [<a href="#B4-chemistry-05-00160" class="html-bibr">4</a>]. Copyright 2020, Wiley-VCH GmbH Publishers.</p>
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19 pages, 12682 KiB  
Article
Biomechanical Hand Prosthesis Design
by Emilia Furdu Lunguţ, Lucian Matei, Maria Magdalena Roşu, Mihaiela Iliescu and Corina Radu (Frenţ)
Machines 2023, 11(10), 964; https://doi.org/10.3390/machines11100964 - 16 Oct 2023
Cited by 4 | Viewed by 4038
Abstract
There are various studies on the structural and functional constructions of hand prostheses inspired by human biomechanics, and there are different kinds of prostheses available on the market. This paper aims to present the relevant stages of designing a hand prosthesis prototype that [...] Read more.
There are various studies on the structural and functional constructions of hand prostheses inspired by human biomechanics, and there are different kinds of prostheses available on the market. This paper aims to present the relevant stages of designing a hand prosthesis prototype that is innovative due to its mechanical structure and, therefore, the prosthesis fingers’ DOF and mobility. The prosthesis is designed to have independent finger motion with the rotations of each of the three phalanges and, most importantly, rotation for each of the fingers relative to the palm. All these motions are generated and controlled by micromotors, a microcontroller, and sensors. A reverse engineering technique was applied for obtaining the exterior surface dimensions of the prosthesis and this consequently ensures that this prosthesis looks as realistic as possible. Small, light mechanical parts were designed as components of the mechanical system for the motions of finger phalanges and most of them (gears, levers, shells) were made using 3D-printing technologies (digital light processing (DLP) and/or selective laser sintering (SLS)). Aspects of some technical problems which arose during the prototype assembly are also recorded in the paper. Further research development will focus on the tests conducted on the prosthesis and the consequent adjustments of the prototype. Full article
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<p>Upper limb prosthesis concept: (<b>a</b>) prosthesis; (<b>b</b>) hand.</p>
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<p>Hand prosthesis design: (<b>a</b>) main components; (<b>b</b>) 3D model.</p>
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<p>Hand prosthesis’s finger concept: (<b>a</b>) 3D model; (<b>b</b>) kinematic scheme.</p>
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<p>Hand prosthesis’s finger block scheme.</p>
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<p>Kinematic analysis program lines.</p>
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<p>Reverse engineering applied for prosthesis exterior surface design: (<b>a</b>) 3D scanning; (<b>b</b>) scan of hand surface; (<b>c</b>) fingers section dimensions.</p>
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<p>Hand prosthesis logical schema.</p>
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<p>Command and control components scheme.</p>
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<p>Worm wheel geometric details: (<b>a</b>) worm wheel—geometric part reference; (<b>b</b>) geometric details—part 1.</p>
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<p>Hand prosthesis 3D model.</p>
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<p>Fuse 1-printed components.</p>
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<p><b><a href="#machines-11-00964-f004" class="html-fig">Figure 4</a></b>-printed components.</p>
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<p>Thumb prosthesis subassembly.</p>
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<p>Thumb prosthesis functional tests—teeth worn out.</p>
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<p>Hand prosthesis prototype: (<b>a</b>) grabs object with a cylindrical surface; (<b>b</b>) rotation of index and middle fingers.</p>
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<p>Questionnaire answers on the need for hand prostheses.</p>
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