Mechanical enhancement of hydroxyapatite via carbon and boron nitride nanotubes: a molecular dynamics study

IF 2.5 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Journal of Molecular Modeling Pub Date : 2025-02-18 DOI:10.1007/s00894-025-06317-8
Bugra Eyidogan, Mesut Kirca
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Abstract

Context

This study explores the mechanical limitations of hydroxyapatite (HAP), a critical bioceramic in bone tissue engineering and orthopedic implants, which is limited by its brittleness and low mechanical strength. By reinforcing HAP with carbon nanotubes (CNTs) and boron nitride nanotubes (BNNTs), the mechanical performance of HAP was significantly enhanced. The inclusion of CNTs led to a 25% increase in ultimate tensile strength (UTS), peaking at 9.18 GPa, while BNNTs improved ductility with a maximum UTS of 8.75 GPa. Toughness, representing the material’s energy absorption capacity, reached 15.8 kJ/m2 in CNT-reinforced composites and 9.3 kJ/m2 in BNNT-reinforced composites, emphasizing their distinct reinforcement contributions. The study highlights the potential of CNT-BNNT combinations, achieving a synergistic balance of strength, ductility, and toughness.

Methods

The study employed molecular dynamics simulations to model and analyze the mechanical behavior of nano-reinforced HAP. Simulations were performed using the LAMMPS software, with the CVFF-Interface Force Field for HAP and the AIREBO potential used to model carbon interactions in CNTs. BNNTs were simulated using the Tersoff potential to account for interactions between boron and nitrogen atoms. The effects of nano-reinforcements on the mechanical properties of HAP were evaluated through tensile stress–strain curves, which quantified improvements in Young's modulus, ultimate tensile strength (UTS), and strain at UTS. Additionally, combinations of CNTs and BNNTs in varying ratios were simulated to assess synergistic interactions, while different inclusion levels were investigated to understand their impact on the composite’s mechanical performance. Toughness values, representing the material's energy absorption capacity, were calculated by integrating the area under the stress–strain curves up to failure, providing deeper insights into the ductility and energy dissipation characteristics of the reinforced HAP composites.

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碳和氮化硼纳米管对羟基磷灰石的机械增强:分子动力学研究
羟基磷灰石(hydroxyapatite, HAP)是骨组织工程和骨科植入物中重要的生物陶瓷,其脆性和低机械强度限制了羟基磷灰石的力学局限性。用碳纳米管(CNTs)和氮化硼纳米管(bnnt)增强HAP,可显著提高HAP的力学性能。CNTs的加入使材料的极限抗拉强度(UTS)提高了25%,达到9.18 GPa的峰值,而bnnt提高了材料的延展性,最大UTS达到8.75 GPa。代表材料能量吸收能力的韧性在碳纳米管增强复合材料中达到15.8 kJ/m2,在bnnt增强复合材料中达到9.3 kJ/m2,强调了它们不同的增强贡献。该研究强调了CNT-BNNT组合的潜力,实现了强度、延展性和韧性的协同平衡。方法采用分子动力学方法对纳米增强HAP的力学行为进行模拟分析。使用LAMMPS软件进行模拟,使用CVFF-Interface Force Field模拟HAP,使用airbo势模拟碳纳米管中的碳相互作用。利用Tersoff势来模拟bnnt,以解释硼原子和氮原子之间的相互作用。通过拉伸应力-应变曲线评估纳米增强剂对HAP力学性能的影响,量化杨氏模量、极限抗拉强度(UTS)和UTS应变的改善。此外,模拟不同比例的CNTs和bnnt组合以评估协同作用,同时研究不同的包合水平以了解它们对复合材料力学性能的影响。通过对破坏前应力应变曲线下的面积进行积分计算,得到了代表材料能量吸收能力的韧性值,从而更深入地了解了增强HAP复合材料的延性和能量耗散特性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Molecular Modeling
Journal of Molecular Modeling 化学-化学综合
CiteScore
3.50
自引率
4.50%
发文量
362
审稿时长
2.9 months
期刊介绍: The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling. Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry. Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.
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