In the past decade, numerous scaffold designs have been presented, including graded structures that are particularly well-suited to promote tissue integration, emphasizing the significance of scaffold morphological and mechanical properties for successful bone regenerative medicine. Most of these structures utilize either foams with an irregular pore arrangement or the consistent replication of a unit cell's design. The methods are circumscribed by the spectrum of target porosities and their impact on mechanical characteristics. A smooth gradient of pore size from the core to the scaffold's perimeter is not easily produced using these techniques. Unlike previous approaches, this work presents a flexible design framework for producing a diversity of three-dimensional (3D) scaffold structures, such as cylindrical graded scaffolds, by utilizing a non-periodic mapping from a defined UC. Firstly, conformal mappings are employed to produce graded circular cross-sections, which are subsequently stacked, with or without a twist between scaffold layers, to form 3D structures. The mechanical performance of different scaffold designs is evaluated and contrasted using an energy-based numerical method, exhibiting the design process's capability of independently managing longitudinal and transverse anisotropic scaffold attributes. A helical structure, exhibiting couplings between transverse and longitudinal attributes, is suggested among these configurations, facilitating an expansion of the adaptability within the proposed framework. In order to determine the capability of standard additive manufacturing methods to create the suggested structures, a subset of these designs was produced using a standard SLA setup and put to the test through experimental mechanical analysis. Observed geometric differences between the initial blueprint and the final structures notwithstanding, the proposed computational approach yielded satisfying predictions of the effective material properties. Concerning self-fitting scaffolds with on-demand properties, the design offers promising perspectives, contingent on the specific clinical application.
To contribute to the Spider Silk Standardization Initiative (S3I), the true stress-true strain curves of 11 Australian spider species from the Entelegynae lineage were established through tensile testing and sorted by the values of the alignment parameter, *. The S3I methodology's application successfully identified the alignment parameter in each case, with values ranging between * = 0.003 and * = 0.065. Building upon earlier findings from other species within the Initiative, these data allowed for the exploration of this strategy's potential through the examination of two simple hypotheses on the alignment parameter's distribution throughout the lineage: (1) whether a consistent distribution can be reconciled with the values observed in the studied species, and (2) whether a trend emerges between the distribution of the * parameter and phylogenetic relationships. Concerning this point, the smallest * parameter values appear in certain members of the Araneidae family, while larger values are observed as the evolutionary divergence from this group widens. Nevertheless, a substantial group of data points deviating from the seemingly prevalent pattern concerning the values of the * parameter are documented.
The precise determination of soft tissue material properties is often necessary in various applications, especially in biomechanical finite element analysis (FEA). Representative constitutive laws and material parameters are challenging to identify, often forming a bottleneck that impedes the successful use of finite element analysis tools. Modeling soft tissues' nonlinear response typically employs hyperelastic constitutive laws. Finite macro-indentation testing is a common method for in-vivo material parameter identification when standard mechanical tests like uniaxial tension and compression are not suitable. The absence of analytical solutions frequently leads to the use of inverse finite element analysis (iFEA) for parameter estimation. This method employs iterative comparison between simulated and experimentally observed values. However, the required data for the definitive characterization of a specific parameter set is not apparent. This investigation analyzes the sensitivity of two measurement categories: indentation force-depth data (measured, for instance, using an instrumented indenter) and full-field surface displacements (e.g., captured through digital image correlation). To ensure accuracy by overcoming model fidelity and measurement errors, we implemented an axisymmetric indentation FE model to create synthetic data for four two-parameter hyperelastic constitutive laws: the compressible Neo-Hookean model, and the nearly incompressible Mooney-Rivlin, Ogden, and Ogden-Moerman models. Objective functions were computed to quantify discrepancies in reaction force, surface displacement, and their combined effects for each constitutive law. The results were visualized for hundreds of parameter sets, encompassing a range of values reported in the literature for the soft tissue complex in human lower limbs. selleck chemicals Furthermore, we measured three metrics of identifiability, which offered valuable insights into the uniqueness (or absence thereof) and the sensitivities of the data. This approach enables a clear and methodical evaluation of parameter identifiability, uninfluenced by the optimization algorithm or the initial estimations specific to iFEA. The indenter's force-depth data, while a prevalent approach for parameter identification, was insufficient for consistently and precisely determining parameters across the investigated materials. In all cases, surface displacement data augmented the parameter identifiability, though the Mooney-Rivlin parameters' identification remained elusive. Guided by the findings, we then explore several identification strategies for each of the constitutive models. The codes generated from this study are released publicly, enabling further investigation into the indentation problem. This flexibility encompasses changes to the geometries, dimensions, meshes, material models, boundary conditions, contact parameters, or objective functions.
Brain-skull phantoms serve as beneficial tools for studying surgical operations, which are typically challenging to scrutinize directly in humans. A significant lack of studies can be observed that precisely duplicate the full anatomical link between the brain and skull. The examination of wider mechanical occurrences in neurosurgery, exemplified by positional brain shift, relies heavily on these models. A new fabrication workflow for a biofidelic brain-skull phantom is showcased in this work. Key components include a complete hydrogel brain with fluid-filled ventricle/fissure spaces, elastomer dural septa, and a fluid-filled skull. Crucial to this workflow is the use of the frozen intermediate curing phase of an established brain tissue surrogate, enabling a novel technique for skull installation and molding, resulting in a far more complete anatomical recreation. The mechanical verisimilitude of the phantom was substantiated by indentation testing of the phantom's brain and simulation of the supine-to-prone transition, while the phantom's geometric realism was demonstrated via magnetic resonance imaging. Employing a novel measurement technique, the developed phantom captured the supine-to-prone brain shift with a magnitude consistent with those reported in the existing literature.
This work involved the preparation of pure zinc oxide nanoparticles and a lead oxide-zinc oxide nanocomposite via flame synthesis, followed by investigations into their structural, morphological, optical, elemental, and biocompatibility characteristics. The hexagonal structure of ZnO and the orthorhombic structure of PbO within the ZnO nanocomposite were evident from the structural analysis. A scanning electron microscopy (SEM) image displayed a nano-sponge-like surface morphology for the PbO ZnO nanocomposite, and energy dispersive X-ray spectroscopy (EDS) confirmed the absence of any unwanted impurities. Employing transmission electron microscopy (TEM), the particle size was determined to be 50 nanometers for zinc oxide (ZnO) and 20 nanometers for lead oxide zinc oxide (PbO ZnO). From a Tauc plot study, the optical band gap for ZnO was established as 32 eV and for PbO as 29 eV. Medications for opioid use disorder Anticancer studies unequivocally demonstrate the exceptional cytotoxicity of both compounds. A nanocomposite of PbO and ZnO displayed the greatest cytotoxicity towards the HEK 293 tumor cell line, exhibiting an IC50 value as low as 1304 M.
Nanofiber material usage is increasing in significance for biomedical advancements. Scanning electron microscopy (SEM) and tensile testing are well-established procedures for the material characterization of nanofiber fabrics. food colorants microbiota While comprehensive in their assessment of the entire specimen, tensile tests do not account for the properties of individual fibers. Though SEM images exhibit the structures of individual fibers, their resolution is limited to a very small area on the surface of the specimen. The recording of acoustic emission (AE) provides a promising means of comprehending fiber-level failures induced by tensile stress, albeit the weak signal makes it challenging. Acoustic emission data acquisition facilitates the discovery of valuable information about invisible material failures without influencing the outcomes of tensile tests. This work showcases a technology for recording the weak ultrasonic acoustic emissions of tearing nanofiber nonwovens, a method facilitated by a highly sensitive sensor. Evidence of the method's functionality is shown through the utilization of biodegradable PLLA nonwoven fabrics. The stress-strain curve's almost imperceptible bend in the nonwoven fabric underscores the potential benefit, manifesting as a noteworthy level of adverse event intensity. Standard tensile tests on unembedded nanofiber material, slated for safety-critical medical applications, have yet to incorporate AE recording.