Journal of the Mechanical Behavior of Biomedical Materials最新文献

{"title":"Effect of thermal ageing on physico-mechanical properties and self-healing potential of experimental 3D-printed denture base resin composites","authors":"Mariam Raza Syed, Amr Fawzy","doi":"10.1016/j.jmbbm.2025.107123","DOIUrl":"10.1016/j.jmbbm.2025.107123","url":null,"abstract":"","PeriodicalId":380,"journal":{"name":"Journal of the Mechanical Behavior of Biomedical Materials","volume":"170 ","pages":"Article 107123"},"PeriodicalIF":3.3,"publicationDate":"2025-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144571329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An in vitro study of the effects of pathophysiologically relevant levels of oxidative damage on cortical bone tissue quality","authors":"Faezeh Iranmanesh ,&nbsp;Daniel Y. Dapaah ,&nbsp;Jindra Tupy ,&nbsp;John Montesano ,&nbsp;Thomas L. Willett","doi":"10.1016/j.jmbbm.2025.107108","DOIUrl":"10.1016/j.jmbbm.2025.107108","url":null,"abstract":"<div><div>This study examined the impact of in vitro oxidative damage on cortical bone tissue quality assessed using mechanical testing, biochemical assays, and thermo-analytical methods. The primary hypothesis of this study was that oxidative damage, caused in vivo by oxidative stress—a key factor in aging and various inflammatory diseases—deteriorates bone tissue quality by damaging bone collagen, the main component of the bone's organic phase. To test this hypothesis in vitro, bovine cortical bone specimens were exposed to neutral hypochlorous acid solution (a potent reactive oxygen species) to induce oxidative damage, which was measured in terms of carbonylation. Carbonylation is a stable biomarker of protein oxidation. Mechanical testing revealed degradation of cortical bone mechanical properties due to oxidation. There was a marked degradation of mechanical properties, specifically pre-yield and post-yield properties such as tensile (30–40 %) and compressive (19–23 %) yield strength, as well as tensile (25–45 %) and compressive (11–16 %) ultimate strength. Exposure to neutral hypochlorous acid solutions increased the carbonyl content (normalized to collagen content), confirming protein oxidative damage. In addition, the observed carbonyl levels in the oxidized groups were similar to those measured in human cortical bone specimens. Thermo-analytical tests including differential scanning calorimetry (DSC) and hydrothermal isothermal tension (HIT) tests, providing measures of collagen nativity and connectivity, revealed negative correlations with carbonyl content (r = −0.46, p = 0.0038). The hypothesis that physiological levels of oxidative damage generated in vitro degrade cortical bone mechanical properties by damaging the bone collagen has been confirmed. This suggests that oxidative damage of bone collagen is important towards understanding the degradation of bone quality in aging and various diseases.</div></div>","PeriodicalId":380,"journal":{"name":"Journal of the Mechanical Behavior of Biomedical Materials","volume":"171 ","pages":"Article 107108"},"PeriodicalIF":3.3,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144614813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A 3D generative structural model of trabecular bone using a novel probabilistic approach","authors":"Pengwei Xiao ,&nbsp;Matthew Kirby ,&nbsp;Yizhong Hu ,&nbsp;X. Edward Guo ,&nbsp;Xiaodu Wang","doi":"10.1016/j.jmbbm.2025.107118","DOIUrl":"10.1016/j.jmbbm.2025.107118","url":null,"abstract":"<div><div>This study aims to develop a three-dimensional (3D) generative trabecular bone model capable of rendering digital models that closely resemble real trabecular bone microstructures. This model was constructed based on a previously proposed probability-based framework, integrating image processing, Voronoi tessellation, inverse Monte Carlo simulation, and computer graphics techniques. To evaluate its efficacy, the microstructural and mechanical properties of the synthesized digital models were compared with those of target real bone samples in pairs. The target real bone samples consisted of a total of 542 trabecular cubes, extracted from different anatomical locations of six human cadaver proximal femurs of different ages and sexes. A set of scalar and random variables defining the microstructural features were measured from the target real bone samples and used as inputs for the generative model to synthesize digital models. The results demonstrated that: (1) The microstructural features of the synthesized digital models closely matched those of the target real bone samples in terms of trabecular orientation, size, and spatial arrangement, with <em>mean Hellinger Distance</em> ranging from 0.051 to 0.187. (2) The synthesized digital models captured the histomorphometric parameters of the target real bone samples in terms of <em>BV/TV</em>, <em>PN</em>, <em>RN</em>, <em>R-P Junc.D</em>, <em>R-R Junc.D</em>, and <em>P-P Junc.D</em>. (3) The digital models effectively captured the anisotropic mechanical behavior of the target real bone samples, with <em>R</em>^<em>2</em> values ranging from 0.93 to 0.97 for the stiffness tensor and 0.90 to 0.93 for yield stress. These findings confirm the proposed generative model's efficacy in mimicking the microstructural and mechanical properties of trabecular bone.</div></div>","PeriodicalId":380,"journal":{"name":"Journal of the Mechanical Behavior of Biomedical Materials","volume":"171 ","pages":"Article 107118"},"PeriodicalIF":3.3,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144587957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Glycosaminoglycan depletion lowers the crack resistance of articular cartilage under impact loading","authors":"Ke Ren ,&nbsp;Fenghua Zhao ,&nbsp;Natalia K. Tzaneti ,&nbsp;Hans J. Kaper ,&nbsp;Prashant K. Sharma","doi":"10.1016/j.jmbbm.2025.107122","DOIUrl":"10.1016/j.jmbbm.2025.107122","url":null,"abstract":"<div><div>Osteoarthritis is a degenerative and debilitating disorder affecting diarthrodial joints, where articular cartilage degeneration occurs due to simultaneous, enzymatic degradation and mechanical damage through crack initiation and propagation. Healthy cartilage is effective in absorbing impact loads and resists cracking but physical impact beyond a certain high energy is considered as the critical reason for initiation and propagation of cracks. Enzymatic degradation destroys the molecular structure of cartilage affecting its biomechanical properties and is bound to affect its crack resistance. This research aims to explore the conditions associated with crack initiation in healthy bovine cartilage through indirect assessment of absorbed impact energy, and to determine the influence of enzymatic degradation on cartilage cracking. Cartilage cracks are characterized by length, number of branches and endpoints. Bovine cartilage enzymatic degradation was achieved through treatment with chondroitinase ABC, which reduces the cartilage glucosamine glycan (GAG) content. A drop tower impact test (stainless steel ball-bovine cartilage plug) was applied to evaluate the absolute energy absorption capacity of the cartilage. In contrast, the pendulum test was designed to better replicate a physiological scenario—specifically, cartilage-on-cartilage contact from a massive collision. The absorbed impacting energy by both sides together was obtained in this case. Due to the depletion of GAGs by chondroitinase ABC, the digested cartilage showed more severe cracks under the same impact energy as healthy cartilage. Also single cracks formed from parallel to 45° to perpendicular to the collagen fibers orientation on both cartilage groups.</div></div>","PeriodicalId":380,"journal":{"name":"Journal of the Mechanical Behavior of Biomedical Materials","volume":"170 ","pages":"Article 107122"},"PeriodicalIF":3.3,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144556661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Anisotropic ice-templated collagen scaffolds for soft tissue engineering: a mechanical characterisation toolkit","authors":"Huijie L. Zhang,&nbsp;Ruth E. Cameron,&nbsp;Serena M. Best","doi":"10.1016/j.jmbbm.2025.107121","DOIUrl":"10.1016/j.jmbbm.2025.107121","url":null,"abstract":"<div><div>Collagen-based soft tissues are often anisotropic in structure, and in regenerative medicine, it is important that scaffolds are designed to closely mimic their architecture and mechanical behaviour. Existing testing standards are not directly applicable to anisotropic structures in physiologically relevant conditions. The challenge is therefore to systematically quantify mechanical anisotropy, nonlinear tensile behaviour, and both <em>in vitro</em> degradation and fatigue in a way appropriate for soft, porous, natural macromolecular structures. In this study, we fabricated collagen scaffolds with elongated porosity via directional freeze-drying and then chemically crosslinked them using 1-ethyl-3-(3-dimethylaminopropyl) carbodiimide hydrochloride (EDC) and N-hydroxysuccinimide (NHS). Compressive mechanical behaviour was monitored along two characteristic directions, and distinct stress-strain curves were observed. The elastic modulus was identified as 6.42 kPa and 1.02 kPa along the two directions. Nonlinear tensile behaviour was characterised using the tangent modulus, which varied from 25 kPa to 270 kPa before failure. Standardised methods for monitoring degradation at 37 <span><math><mrow><mo>°C</mo></mrow></math></span> were developed. <em>In vitro</em> degradation was investigated by immersing scaffolds in deionised water for 60 days, during which the critical stress decreased by 30% in the first 30 days. Fatigue was studied by monitoring the stress-strain curves under 20% tensile strain for 1000 cycles. Scaffolds exhibited weaker mechanical integrity when loaded at 1.43 Hz. This study addresses the lack of standardised testing methods for anisotropic ice-templated collagen scaffolds by establishing a set of protocols to characterise the mechanical anisotropy, quantify tensile behaviour, and monitor scaffold degradation. This flexible characterisation toolkit can be adapted to specific sample treatments during tissue culture.</div></div>","PeriodicalId":380,"journal":{"name":"Journal of the Mechanical Behavior of Biomedical Materials","volume":"171 ","pages":"Article 107121"},"PeriodicalIF":3.3,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144587958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification of heel pad thickness and visco-hyperelastic properties by finite element analysis and Gaussian process regression","authors":"Youngbin Lim ,&nbsp;Luca Quagliato ,&nbsp;Olamide Robiat Hassan ,&nbsp;Bogyoung Kang ,&nbsp;Siwoo Jung ,&nbsp;Yejin Kim ,&nbsp;Sewon Kim ,&nbsp;Taeyong Lee","doi":"10.1016/j.jmbbm.2025.107119","DOIUrl":"10.1016/j.jmbbm.2025.107119","url":null,"abstract":"<div><div>The importance of the heel pad thickness and visco-hyperelastic material properties on gait and quality of life is clear to biomedical engineers and physicians alike. To this end, this contribution presents first an experimental methodology to measure the load-time response on the heel pad by indentation test. Afterward, finite element analysis (FEA) simulations were implemented to replicate the experimental environment and employed for the training of a Gaussian Process Regression (GPR) model, subsequently employed to estimate the hyperelastic model constants and the heel pad thickness. A second-order polynomial strain energy potential was employed in the FEA models, whereas the viscoelastic behavior was modeled with a stretched exponential formulation. The trained GPR model was tested against experimental results on 6 subjects of different ages and genders, where the visco-hyperelastic properties and heel pad thickness were determined. The predicted heel pad thickness was validated by ultrasonography. The results show that the developed methodology allows for real-time estimation (within 10 s) of the visco-elastic material properties and thickness of the heel pad with comparable accuracy to the established models, thus granting a significant reduction in the computation time with no loss in accuracy.</div></div>","PeriodicalId":380,"journal":{"name":"Journal of the Mechanical Behavior of Biomedical Materials","volume":"170 ","pages":"Article 107119"},"PeriodicalIF":3.3,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144588231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Puncturing soft substrates with microneedle Arrays: Experiments, simulations, and machine learning predictions","authors":"Nan Hu,&nbsp;Junjie Liu,&nbsp;Qifang Zhang,&nbsp;Lvfeng Jiang,&nbsp;Yuhong li,&nbsp;Zhipeng Zhou,&nbsp;Guozheng Kang","doi":"10.1016/j.jmbbm.2025.107112","DOIUrl":"10.1016/j.jmbbm.2025.107112","url":null,"abstract":"<div><div>Microneedle arrays are innovative medical devices used for drug delivery, tissue adhesion, and neural signal detection. Understanding how their geometric features influence puncture performance in soft substrates is crucial for optimal design. This study first investigates the effects of shaft diameter and tip angle of a single microneedle through puncture experiments, revealing that reducing these parameters decreases the critical puncture force and depth. Subsequently, the puncture of three types of microneedle arrays: planar, “arrow-shaped”, and “wave-shaped”, are investigated via experiments and simulations. Key geometric factors, including height difference, spacing, tip angle, and diameter of microneedles within each microneedle array, are analyzed for their impact on the peak puncture force and the puncture efficiency. Results indicate that the height variation significantly affects the peak puncture force of “wave-shaped” arrays, while increased spacing enhances the puncture efficiency and the peak puncture force across all designs. Though larger tip angles reduce the puncture efficiency, this effect is mitigated in “array-shaped” and “wave-shaped” arrays. Smaller diameters lower the peak puncture force and improve the puncture efficiency in all cases. Furthermore, 152 simulation results are utilized to train an artificial neural network (ANN), which successfully predicts the puncture force at a specified depth for a microneedle array when the geometric parameters of the array are provided. This study provides insights into the combined effects of microneedle array geometries on puncture performance, guiding the design of more effective microneedle systems.</div></div>","PeriodicalId":380,"journal":{"name":"Journal of the Mechanical Behavior of Biomedical Materials","volume":"170 ","pages":"Article 107112"},"PeriodicalIF":3.3,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144556660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nano-mechanical variations in chamber units of dry cuttlebone","authors":"Zhengze Li ,&nbsp;Lei Wang ,&nbsp;Jianbo Tang ,&nbsp;Jan Seidel","doi":"10.1016/j.jmbbm.2025.107117","DOIUrl":"10.1016/j.jmbbm.2025.107117","url":null,"abstract":"<div><div>Natural hierarchical structures have evolved to exhibit tailored mechanical properties, such as those found in various seashells. Due to their high impact-resisting mechanical properties, these structures have been widely investigated and form the basis of bio-inspired composite materials. This approach requires an accurate understanding of their mechanical properties at the level of individual micro- and nanoscale structural components, which are formed out of a mainly inorganic mineral with biopolymer inclusions in a layered arrangement. Here, we present an AFM study of the mechanical properties of cuttlebone and quantify the elastic modulus of its main micro-nanoscale constituents. The obtained results reveal the detailed mechanical properties of the hierarchical structure of cuttlebone and provide a strategy for accurately testing nanoscale mechanical properties of advanced composite materials.</div></div>","PeriodicalId":380,"journal":{"name":"Journal of the Mechanical Behavior of Biomedical Materials","volume":"170 ","pages":"Article 107117"},"PeriodicalIF":3.3,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144549381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mechanical and adhesive properties of additively manufactured dental tray materials with variable sustainability profiles","authors":"Petra Clarkson ,&nbsp;Rachael Heenan ,&nbsp;Xiaoyun Liu ,&nbsp;Andrew B. Cameron ,&nbsp;Kathryn Newsham-West ,&nbsp;John M. Aarts ,&nbsp;Joanne J.E. Choi","doi":"10.1016/j.jmbbm.2025.107115","DOIUrl":"10.1016/j.jmbbm.2025.107115","url":null,"abstract":"<div><h3>Objective</h3><div>To assess the mechanical and adhesive properties of additively manufactured (AM) materials with variable sustainability and recyclability as alternatives to traditional light-cured acrylic resin for dental custom trays.</div></div><div><h3>Materials and method</h3><div>Four different AM materials; a photopolymer resin tray material printed with DLP and three FDM printed polylactic acid (PLA), recycled PLA and Polyethylene Terephthalate Glycol (PETG) and a conventional light-cure acrylic resin (LC PMMA) as a control were used to construct dumbbell (tensile testing), rectangular (flexural testing) to verify suitability for custom trays (<em>n=</em>10/group). To evaluate bond strength, specimens were manufactured at 0, 45 and 90° printing orientation (<em>n=</em>10/group). Surface roughness was evaluated with confocal scanning microscopy. The three mechanical tests were completed in a universal testing machine (Instron) according to ISO 527-2 and ISO 20795-1. Results were statistically analysed with PRISM (Version 10) Software using one-way ANOVA and Kruskal-Wallis tests, with statistical significance set at <em>p</em> &lt; 0.05. Confocal analysis and SEM analysis were conducted for quantitative and qualitative surface analysis.</div></div><div><h3>Results</h3><div>For tensile and flexural strength, PLA (Recycled) and PETG showed no statistically significant difference (<em>p</em> &gt; 0.05) from LC PMMA. AM materials yielded a higher bond strength than the LC PMMA material. Print orientation was found to affect the bond strength of some materials with varying surface roughness as contributing factors.</div></div><div><h3>Conclusion</h3><div>LC PMMA, PLA (Recycled), and PETG have the greatest flexural and tensile strengths. PLA (Recycled) and PETG were the highest performing AM options with regard to flexural and tensile strength for custom trays. All AM materials showed a significantly higher bond strength compared to LC PMMA. To maximise the bond strength, PLA (Recycled) should be printed at an angle of 0°, and PETG at 0 or 90°. Dental practitioners should consider the varying degrees of recyclability of materials, in addition to their mechanical properties.</div></div>","PeriodicalId":380,"journal":{"name":"Journal of the Mechanical Behavior of Biomedical Materials","volume":"170 ","pages":"Article 107115"},"PeriodicalIF":3.3,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144510994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting rat lumbar vertebral failure patterns as synthetic μCT images using a deep convolutional generative adversarial network","authors":"Allison Tolgyesi ,&nbsp;Cari Whyne ,&nbsp;Michael Hardisty","doi":"10.1016/j.jmbbm.2025.107116","DOIUrl":"10.1016/j.jmbbm.2025.107116","url":null,"abstract":"<div><div>This study aims to develop a generative deep learning (DL) model to predict fracture patterns through creation of synthetic 3D μCT images of fractured rat lumbar vertebrae. The proposed model is a 3D conditional generative adversarial network (cGAN). The dataset contained sequential 3D μCT images of rat lumbar vertebrae acquired during axial compressive loading (unloaded, after 1500 μm of displacement, after fracture). Three experiments were run: unloaded input predicting 1500 μm, 1500 μm predicting fracture, and unloaded predicting fracture. The cGAN was trained on 64 μCT images of rat lumbar vertebral motion segments and was validated on 8 images. Quantitative metrics (dice similarity coefficient (DSC), Jaccard index (JAC), Fréchet inception distance (FID), structural similarity index measure (SSIM)) assessed predicted image quality. Qualitative measures investigating fracture location and disease severity (or lack thereof) were also assessed. The unloaded to 1500 μm experiment generated realistic examples of loaded (unfractured) rat vertebrae. These included maintenance of the presence of metastatic disease when relevant and yielded the best quantitative metrics. The 1500 μm to fracture experiment performed significantly better on the FID and SSIM metrics than the unloaded to fracture configuration. The 1500 μm to fracture experiment predicted more true positive fractures and fewer false negative fractures than the unloaded to fracture experiment. Both fracture experiments had a low false positive fracture prediction rate (&lt;10 %). The presented cGAN generates realistic rat lumbar vertebrae failure patterns as 3D μCT images and shows promise for future generative DL applications to model damage behaviour of biological structures.</div></div>","PeriodicalId":380,"journal":{"name":"Journal of the Mechanical Behavior of Biomedical Materials","volume":"170 ","pages":"Article 107116"},"PeriodicalIF":3.3,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144502246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}