Surface Structure of Hydroxyapatite from Simulated Annealing Molecular Dynamics Simulations

Design Strategies for Hydroxyapatite-Based Materials to Enhance Their Catalytic Performance and Applicability

Hydroxyapatite (HAP) is a green catalyst that has a wide range of applications in catalysis due to its high flexibility and multifunctionality. These properties allow HAP to accommodate a large number of catalyst modifications that can selectively improve the catalytic performance in target reactions. To date, many studies have been conducted to elucidate the effect of HAP modification on the catalytic activities for various reactions. However, systematic design strategies for HAP catalysts are not established yet due to an incomplete understanding of underlying structure-activity relationships. In this review, tuning methods of HAP for improving the catalytic performance are discussed: 1) ionic composition change, 2) morphology control, 3) incorporation of other metal species, and 4) catalytic support engineering. Detailed mechanisms and effects of structural modulations on the catalytic performances for attaining the design insights of HAP catalysts are investigated. In addition, computational studies to understand catalytic reactions on HAP materials are also introduced. Finally, important areas for future research are highlighted.

Molecular Dynamics Simulation of Biomimetic Biphasic Calcium Phosphate Nanoparticles

Biphasic calcium phosphate (BCP) is used as a bone substitute and bone tissue repair material due to its better control over bioactivity and biodegradability. It is crucial to stabilize the implanted biomaterial while promoting bone ingrowth. However, a lack of standard experimental and theoretical protocols to characterize the physicochemical properties of BCP limits the optimization of its composition and properties. Computational simulations can help us better to learn BCP at a nanoscale level. Here, the Voronoi tessellation method was combined with simulated annealing molecular dynamics to construct BCP nanoparticle models of different sizes, which were used to understand the physicochemical properties of BCP (e.g., melting point, infrared spectrum, and mechanical properties). We observed a ∼20 to 30 Å layer of calcium-deficient hydroxyapatite at the HAP/β-TCP interface due to particle migration, which may contribute to BCP stability. The BCP model may stimulate further research into BCP ceramics and multiphasic ceramics. Moreover, our study may facilitate the optimization of compositions of BCP-based biomaterials.

Metaheuristic algorithms for PID controller parameters tuning: review, approaches and open problems

The simplicity, transparency, reliability, high efficiency and robust nature of PID controllers are some of the reasons for their high popularity and acceptance for control in process industries around the world today. Tuning of PID control parameters has been a field of active research and still is. The primary objectives of PID control parameters are to achieve minimal overshoot in steady state response and lesser settling time. With exception of two popular conventional tuning strategies (Ziegler Nichols closed loop oscillation and Cohen-Coon's process reaction curve) several other methods have been employed for tuning. This work accords a thorough review of state-of-the-art and classical strategies for PID controller parameters tuning using metaheuristic algorithms. Methods appraised are categorized into classical and metaheuristic optimization methods for PID parameters tuning purposes. Details of some metaheuristic algorithms, methods of application, equations and implementation flowcharts/algorithms are presented. Some open problems for future research are also presented. The major goal of this work is to proffer a comprehensive reference source for researchers and scholars working on PID controllers.

Impact of physicochemical changes in milk ultrafiltration permeate concentrated by reverse osmosis on calcium phosphate precipitation

This study aimed to characterize and compare the mechanisms of calcium phosphate precipitation in skimmed milk ultrafiltration permeate (MP) and MP preconcentrated by reverse osmosis (ROMP).

Molecular Dynamics Exploration of the Growth Mechanism of Hydroxyapatite Nanoparticles Regulated by Glutamic Acid

Morphological control can enhance the performance of materials like hydroxyapatite (HAP), a well-known bioceramic with various morphologies, including spheres, rods, whiskers, needles, and plates. To obtain certain HAP morphologies, the crystal growth mechanisms at different planes should be investigated. Here, molecular dynamics was employed to understand the mechanism of HAP nanoparticle growth regulated by glutamic acid (Glu). Long-time dynamics simulations and free energy calculations were performed to explore the effect of Glu on calcium and phosphate ion precipitation on the HAP (100) and (001) faces. Without Glu, PO₄^3- prefers binding to the HAP (100) surface, whereas with Glu, the (001) surface is preferred. This could partially explain why HAP changes from needle-like to plate-like with Glu addition in experiments. Our theoretical results indicate that Glu inhibits calcium and phosphate ion deposition on the crystal surfaces by occupying the calcium sites on the outermost layers. In addition, Glu has a strong concentration gradient effect on HAP deposition. At Glu concentrations of >80 mM, ion deposition was inhibited more on the (100) than on the (001) surface. Our results agree with experimental observations and afford insights into complicated HAP crystal growth mechanisms with foreign additives, which will aid in HAP synthesis with morphological control.

Comparative Study on Factors Governing Binding Mechanisms in Polylactic Acid-Hydroxyapatite and Polyethylene-Hydroxyapatite Systems via Molecular Dynamics Simulations

Binding mechanisms in polylactic acid-hydroxyapatite (PLA-HAp) and polyethylene-hydroxyapatite (PE-HAp) systems are comparatively elucidated on HAp (110) surfaces in unprecedented detail using molecular dynamics simulations conducted with the systematically varying number of monomers (N) between 10 and 400 at 310 K (NVT). Although PE seems to gradually cover the HAp surface more effectively compared to PLA, evident from the corresponding radius of gyration and occupied area values, the interface density and total binding energy in PLA-HAp systems is higher compared to those of PE-HAp systems. It is shown that a linear relationship between the binding energy and the surface area occupied by the monomer exists, consistent with our finding that binding energy converges to a limiting value with respect to monomer size on a constant surface area. The major constituent of the total binding energy is, rather surprisingly, shown to be the energy change in the bulk structure in HAp upon interaction; the next most important contributor is found to be the energy corresponding to surface-polymer interactions. The interplay between mainly these two contributors, acting in different fashions in two systems investigated here, seems to control the total binding energies. Increasing monomer size N initially results in enhanced densification of the interface in the HAp-PLA system up until N ≈ 200 with the positioning of mainly ═O units of PLA onto the HAp surface, consistent with the increasing Ca-O coordination numbers. Further increases in PLA size (N > 200) result in decreasing intensities of the peaks in the concentration profile consistent with the decreasing surface-polymer interaction energies while increased stabilization of the energy of the bulk is pronounced in this region. On the other hand, increasing N leads to a constantly increasing concentration at the interface in PE-HAp systems; -H atoms of the PE chain are positioned closer to the HAp surface than are -C atoms. These changes are coupled with increasing surface-polymer interaction energies in PE-HAp complexes, while slight destabilization in the energy of the bulk is observed for N > 100. A detailed examination of binding mechanisms in these technologically important systems as presented here is essential in material discovery; this valuable information, that will not be available from experiments can be attained through molecular simulations. The current study, to the best of our knowledge, comprises one of the first steps in achieving this goal for PLA/PE-HAp systems.

A comparative study of the dissolubility of pure and silicon substituted hydroxyapatite from density functional theory calculations

Introduction of silicon into hydroxyapatite (HA) is one of the effective ways to modulate the bioactivity of HA-based biomaterials. The bulk and surface structures of silicate-substituted HA (Si-HA) were characterized by using density functional theory calculations. The energetically favorable structures were identified from a number of candidate structures. Particular attention was paid to the surface structures of Si-HA, whose bioactivity is closely relevant to their surface atoms. Compared to the surface of pure HA, the Si-HA surface has similar surface energy but different charge distribution. Under the implicit solvent model, the exposed calcium/oxygen atoms become more positive/negative in net charge, resulting in a considerable change in the surface electrostatic potential at van der Waals distances. However, changes in the dissolution of surface calcium ions are not remarkable, as depicted by their activation energy leaving from the surface. Our calculations reveal that the surface structures and properties of HA were changed to some extent by silicate substitution, which provides some hints for understanding the experimentally observed changes in bioactivity and biodegradability of Si-HA that still remain controversial in many aspects.

One-step formation of a double Pickering emulsion via modulation of the oil phase composition

A facile one-step emulsification strategy was developed to generate a food-grade W/O/W double Pickering emulsion by using corn-peptide-functionalized calcium phosphate particles (CP-CaP) as emulsifier.

Molecular Modelling of Peptide-Based Materials for Biomedical Applications

The molecular-level interactions between peptides and medically-relevant biomaterials, including nanoparticles, have the potential to advance technologies aimed at improving performance for medical applications including tissue implants and regenerative medicine. Peptides can possess materials-selective non-covalent adsorption properties, which in this instance can be exploited to enhance the biocompatibility and possible multi-functionality of medical implant materials. However, at present, their successful implementation in medical applications is largely on a trial-and-error basis, in part because a deep comprehension of general structure/function relationships at these interfaces is currently lacking. Molecular simulation approaches can complement experimental characterisation techniques and provide a wealth of relevant details at the atomic scale. In this Chapter, progress and prospects for advancing peptide-mediated medical implant surface treatments via molecular simulation is summarised for two of the most widely-found medical implant interfaces, titania and hydroxyapatite.