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Tailoring cyano-functionalized covalent organic frameworks with highly ordered charge network structure for efficient hydrogen peroxide photosynthesis 为高效过氧化氢光合作用定制具有高度有序电荷网络结构的氰化共价有机框架
IF 31.6 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2025-09-12 DOI: 10.1016/j.mser.2025.101117
Linjie Zhou , Xiaoke Jia , Yujie Wang , Kun Xiong , Jiani Yang , Yuxuan Kong , Mengchao Guo , Xiaohui Xu , Shuang Li , Xiancheng Ren , Chong Cheng
As a vital industrial oxidant, H2O2 suffers from energy-intensive conventional production methods. Covalent organic frameworks (COFs) have emerged as promising photocatalysts for producing H2O2. Conventional imine-linked COFs suffer from inefficient charge separation due to electron localization at nitrogen atoms, which disrupts π-conjugation and promotes charge recombination. To overcome these limitations, we propose cyano-vinylene-linked COFs with precisely designed highly ordered charge networks as an alternative to conventional imine-linked frameworks. The vinyl bridges establish continuous π-conjugation pathways for charge separation, while the cyano groups guide directional electron transfer, collectively forming an efficient charge transport network. Density functional theory (DFT) calculations reveal that synergy between the π-conjugated backbone and cyano groups enhances electron mobility and facilitates electron injection into O2, accelerating *OOH formation and oxygen reduction. Using benzotrithiophene-2,5,8-tricarboxaldehyde (BTT) as a key building block, we synthesized three distinct COF architectures: an imine-linked framework (Mph-2NH2-COF) and two cyano-vinylene-linked variants (Bph-2CN-COF and Mph-2CN-COF). Experimentally, the optimized Mph-2CN-COF achieves a record H2O2 production rate of 9423.2 μmol g−1 h−1 under alkaline conditions, with stable performance over 8 h in a flow reactor, and completes benzylamine coupling in 90 min. These findings demonstrate that constructing highly ordered charge networks is an effective strategy for high-performance photocatalysis, enabling sustainable H2O2 production and organic synthesis.
H2O2作为一种重要的工业氧化剂,传统的生产方法需要耗费大量能源。共价有机框架(COFs)是一种很有前途的光催化剂。由于氮原子上的电子定位破坏了π共轭作用,促进了电荷的复合,使得传统的亚胺连接COFs的电荷分离效率低下。为了克服这些限制,我们提出了具有精确设计的高度有序电荷网络的氰乙烯链COFs,作为传统亚胺链框架的替代方案。乙烯基桥为电荷分离建立了连续的π共轭通道,而氰基引导定向电子转移,共同形成了有效的电荷传输网络。密度泛函理论(DFT)计算表明,π共轭主链和氰基之间的协同作用增强了电子迁移率,促进了电子注入O2,加速了*OOH的形成和氧还原。以苯并三噻吩-2,5,8-三羧醛(BTT)为主要构建块,我们合成了三种不同的COF结构:亚胺连接的框架(Mph-2NH2-COF)和两个氰基乙烯连接的变体(Bph-2CN-COF和Mph-2CN-COF)。实验结果表明,优化后的Mph-2CN-COF在碱性条件下H2O2产率达到9423.2 μmol g−1 h−1,在流动反应器中稳定性能超过8 h,并在90 min内完成苄胺偶联。这些发现表明,构建高度有序的电荷网络是高效光催化的有效策略,可以实现可持续的H2O2生产和有机合成。
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引用次数: 0
Towards intelligent defect detection in metal powder bed fusion: A review of in situ monitoring, data pre-processing, and machine learning 金属粉末床熔合中的智能缺陷检测:现场监测、数据预处理和机器学习的综述
IF 31.6 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2025-09-11 DOI: 10.1016/j.mser.2025.101112
Pan Wang , Zicheng Wu , Jason Jyi Sheuan Ten, Jiazhao Huang, Mui Ling Sharon Nai
Metal powder bed fusion (PBF) is a pivotal additive manufacturing (AM) technique for producing metallic parts. However, it is plagued by defects such as porosity, cracks, and warping, which compromise the quality of the final product. In response, there is a growing interest in leveraging in situ monitoring, data pre-processing, and machine learning (ML) techniques for defect detection and prediction in the metal PBF process. This review provides a comprehensive analysis of current advancements in these areas. Specifically, we highlight the emerging trend of data pre-processing that serves as a bridge between in situ monitoring and ML. By addressing challenges such as background noise, data loss, and large volumes of data, pre-processing of in situ monitoring data plays a crucial role in improving the accuracy of defect detection and prediction in the metal PBF process. We also discuss notable methodologies, technologies, and trends in the field, offering insights into the current challenges and potential prospects for advancing in situ monitoring, data pre-processing, and ML techniques for defect investigation in metal PBF printed components.
金属粉末床熔融(PBF)是一种关键的增材制造技术,用于生产金属零件。然而,它受到气孔、裂缝和翘曲等缺陷的困扰,这些缺陷会影响最终产品的质量。因此,人们对利用现场监测、数据预处理和机器学习(ML)技术来检测和预测金属PBF工艺中的缺陷越来越感兴趣。本综述对这些领域的最新进展进行了全面分析。具体来说,我们强调了作为原位监测和机器学习之间桥梁的数据预处理的新兴趋势。通过解决背景噪声、数据丢失和大量数据等挑战,原位监测数据的预处理在提高金属PBF过程中缺陷检测和预测的准确性方面起着至关重要的作用。我们还讨论了该领域中值得注意的方法、技术和趋势,提供了当前的挑战和潜在的前景,以推进原位监测、数据预处理和ML技术,用于金属PBF印刷部件的缺陷调查。
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引用次数: 0
2D hybrid and biodegradable piezoelectric nanogenerators for self-powered systems: Next generation sustainable energy 用于自供电系统的二维混合可生物降解压电纳米发电机:新一代可持续能源
IF 31.6 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2025-09-10 DOI: 10.1016/j.mser.2025.101114
Ravi Kumar , Pashupati Pratap Neelratan , Shivom , Yogendra Kumar Mishra , Ajeet Kaushik , Sanjeev Kumar Sharma
The growing global demand for sustainable and portable energy solutions has fueled research into nanogenerators (NGs), primarily those leveraging piezoelectric effects for energy harvesting. The increasing demand for biodegradable (BD), biocompatible, wearable, and flexible electronics has driven the development of advanced NGs, capable of converting mechanical, frictional, or thermal energy into electrical power. Piezoelectric NGs (PENGs), utilizing 2D hybrid (HD) and BD components, offer a promising path towards next-generation self-powered devices combining high-performance energy harvesting systems with environmental sustainability, making them ideal for innovative and eco-friendly electronics. Compared to traditional materials, 2D HD offers atomic-scale thickness, high mechanical strength, and intrinsic piezoelectric properties at the monolayer level. Integration of 2D HD with BD substrates enables the fabrication of fully degradable, biocompatible, and flexible/non-flexible devices capable of harvesting energy from mechanical motions, such as vibrations, bending, or body movement. This review highlights the latest developments in 2D HD and BD materials for flexible/non-flexible PENGs, focusing on their design, working principles, and application in real-time sensing and self-powered electronics. Special emphasis is given to material innovations, structural configurations, and the role of biodegradability in enhancing device sustainability. Current challenges and prospects are also discussed for scalable and reliable BD-based self-powered systems tailored for next-generation sustainable energy technologies.
全球对可持续和便携式能源解决方案的需求不断增长,推动了纳米发电机(NGs)的研究,主要是利用压电效应进行能量收集的纳米发电机。对生物可降解(BD)、生物相容性、可穿戴和柔性电子产品日益增长的需求推动了先进的ngg的发展,能够将机械能、摩擦力或热能转化为电能。利用2D混合(HD)和BD组件的压电NGs (PENGs)为下一代自供电设备提供了一条有前途的道路,将高性能能量收集系统与环境可持续性相结合,使其成为创新和环保电子产品的理想选择。与传统材料相比,2D HD具有原子级厚度、高机械强度和单层固有压电特性。2D HD与BD基板的集成使制造完全可降解,生物相容性和柔性/非柔性设备能够从机械运动(如振动,弯曲或身体运动)中收集能量。本文综述了用于柔性/非柔性peng的2D HD和BD材料的最新进展,重点介绍了它们的设计、工作原理以及在实时传感和自供电电子中的应用。特别强调的是材料创新,结构配置,以及生物降解性在提高设备可持续性中的作用。本文还讨论了为下一代可持续能源技术量身定制的可扩展、可靠的基于bd的自供电系统的当前挑战和前景。
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引用次数: 0
Low-dimensional optoelectronic memristors: From quantum confinement to neuromorphic vision 低维光电忆阻器:从量子约束到神经形态视觉
IF 31.6 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2025-09-10 DOI: 10.1016/j.mser.2025.101115
Yifei Pei , Jiaming Zhang , Mengya Guo , Jianhui Zhao , Liyu Wang , Jisiqi Chen , Xiaobing Yan
The von Neumann architecture's inherent separation of memory and computation has become a critical bottleneck in the era of big data, driving the search for integrated computing-memory solutions. Memristors, with their intrinsic ability to unify storage and processing, have emerged as a transformative platform. The exceptional physical properties of low-dimensional materials have played a critical role in this progress, enabling unprecedented device miniaturization, increased storage density, and tunable optoelectronic functionality through their outstanding electronic, optical, and quantum characteristics. This review explores the pivotal role of low-dimensional materials in revolutionizing optoelectronic memristors, focusing on their quantum confinement effects, tunable optoelectronic properties, and neuromorphic applications. We systematically analyze how 0D quantum dots enable light-modulated conductive pathways through precise carrier trapping, 1D nanowires leverage anisotropic charge transport for ultrafast photoresponse, and 2D materials facilitate heterostructure engineering to enhance switching stability. We then deeply analyze the transformative impact of optoelectronic memristors based on low-dimensional materials in neuromorphic computing, particularly their remarkable advantages in simulating complex synaptic dynamics and developing low-energy artificial vision systems. Finally, we specifically outline future research directions, focusing on overcoming bottlenecks in the precise synthesis and scalable fabrication of low-dimensional materials, and leveraging their exceptional optoelectronic properties and tunable quantum characteristics to emulate more intricate synaptic dynamics, thereby bridging the gap between electronic and biological systems. These efforts aim to amplify the role of optoelectronic memristors in future neuromorphic computing and highly integrated chip applications.
冯·诺伊曼架构固有的内存和计算分离已经成为大数据时代的一个关键瓶颈,推动了对计算-内存集成解决方案的探索。忆阻器具有统一存储和处理的内在能力,已经成为一个变革的平台。低维材料的特殊物理特性在这一进程中发挥了关键作用,通过其出色的电子、光学和量子特性,实现了前所未有的器件小型化、存储密度的增加和可调谐的光电功能。本文综述了低维材料在光电子忆阻器革命中的关键作用,重点介绍了它们的量子约束效应、可调谐光电子特性和神经形态应用。我们系统地分析了0D量子点如何通过精确的载流子捕获实现光调制导电通路,1D纳米线如何利用各向异性电荷输运实现超快光响应,以及2D材料如何促进异质结构工程以增强开关稳定性。然后,我们深入分析了基于低维材料的光电忆阻器在神经形态计算中的变革性影响,特别是它们在模拟复杂突触动力学和开发低能量人工视觉系统方面的显着优势。最后,我们特别概述了未来的研究方向,重点是克服低维材料精确合成和可扩展制造的瓶颈,并利用其卓越的光电特性和可调量子特性来模拟更复杂的突触动力学,从而弥合电子和生物系统之间的差距。这些努力旨在扩大光电忆阻器在未来神经形态计算和高度集成芯片应用中的作用。
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引用次数: 0
Advances in vat photopolymerization 3D printing: Multifunctional materials, process innovations, and emerging applications 还原光聚合3D打印的进展:多功能材料、工艺创新和新兴应用
IF 31.6 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2025-09-10 DOI: 10.1016/j.mser.2025.101120
Karim Khan , Muhammad Irfan Hussain , Ayesha Khan Tareen , Ali Asghar , Muhammad Hamza , Zhangwei Chen
Additive manufacturing (AM), commonly referred to as 3D printing, enables the on-demand conversion of computer-aided design (CAD) models into physical objects, eliminating the need for expensive moulds, dies, or lithographic masks. Among the various AM techniques, light-based vat photopolymerization (VPP) stands out for its focus on polymer-based pure and composite materials. The VPP offers exceptional versatility in printing formats, speed, and precision. Known for its rapid fabrication, high dimensional accuracy, and superior surface finish, VPP is especially well-suited for creating complex geometries. VPP operates by curing photopolymer resins using specific wavelengths of light, typically via vector scanning or mask projection methods. Remarkably, VPP is also adaptable to powder-polymer composite slurry systems and preceramic polymer liquids, enabling additional functionalities and widespread use in lightweight structural components, architectural designs, and optical devices. The integration of nanomaterials (NMs) into VPP-based 3D printing has further expanded its capabilities, enhancing mechanical, thermal, optical, magnetic, catalytic, sensing, and electrical properties. This review provides a comprehensive overview of VPP technology, detailing its underlying principles and recent advancements in materials development, particularly nanocomposites. It also examines key factors influencing the performance of VPP systems and explores their potential applications across sectors such as biomedicine, catalysis, renewable energy, sensing, and aerospace. Finally, the review addresses current challenges and outlines future prospects for VPP-based material systems. This review bridges critical gaps by correlating material design with process scalability and application-specific performance, offering valuable insights into the optimization of VPP for diverse industrial applications.
增材制造(AM),通常被称为3D打印,可以按需将计算机辅助设计(CAD)模型转换为物理对象,从而消除了对昂贵的模具、模具或光刻掩模的需求。在各种增材制造技术中,基于光的还原光聚合(VPP)以其对基于聚合物的纯材料和复合材料的关注而脱颖而出。VPP在打印格式、速度和精度方面提供了卓越的多功能性。VPP以其快速制造,高尺寸精度和卓越的表面光洁度而闻名,特别适合于创建复杂的几何形状。VPP的工作原理是使用特定波长的光固化光聚合物树脂,通常通过矢量扫描或掩模投影方法。值得注意的是,VPP还适用于粉末-聚合物复合浆料系统和预陶瓷聚合物液体,实现了额外的功能,并广泛应用于轻质结构部件、建筑设计和光学器件。将纳米材料(NMs)集成到基于vpp的3D打印中,进一步扩展了其功能,增强了机械、热、光学、磁、催化、传感和电学性能。这篇综述提供了VPP技术的全面概述,详细介绍了其基本原理和材料发展的最新进展,特别是纳米复合材料。它还研究了影响VPP系统性能的关键因素,并探讨了它们在生物医药、催化、可再生能源、传感和航空航天等领域的潜在应用。最后,回顾了当前的挑战,并概述了基于vpp的材料系统的未来前景。本综述通过将材料设计与工艺可扩展性和特定应用性能相关联,弥合了关键差距,为各种工业应用的VPP优化提供了有价值的见解。
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引用次数: 0
Emerging metal oxide based triboelectric nanogenerators for energy collection and self-powered sensing 用于能量收集和自供电传感的新型金属氧化物摩擦电纳米发电机
IF 31.6 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2025-09-09 DOI: 10.1016/j.mser.2025.101119
Wei-Bin Chen , Shu-Zheng Liu , Jiaqing Zhuang , Dan Zhang , Xin-Gui Tang , Vellaisamy A.L. Roy , Qi-Jun Sun
Triboelectric nanogenerators (TENGs) have obtained extensive global research attention for their promising applications in energy harvesting and self-powered sensing. The energy conversion efficiency of TENGs can be significantly enhanced by incorporating metal oxides, attributable to their high dielectric constant, tunable electron affinity, and chemical stability. This review comprehensively summarizes the latest progress on metal oxide based TENGs (MO-TENGs), including the working principles, materials selection criterion, and applications. Moreover, the remaining challenges and future prospect of MO-TENGs are introduced and discussed in detail. This review should provide guidance on the construction and application of high-performance TENGs in future.
摩擦电纳米发电机(TENGs)在能量收集和自供电传感方面具有广阔的应用前景,受到了全球的广泛关注。由于金属氧化物具有较高的介电常数、可调节的电子亲和力和化学稳定性,因此可以显著提高材料的能量转换效率。本文综述了金属氧化物基TENGs (MO-TENGs)的工作原理、材料选择标准和应用等方面的最新研究进展。此外,还对mo - teng存在的挑战和未来的发展前景进行了详细的介绍和讨论。本文的研究成果对高性能材料的构建和应用具有一定的指导意义。
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引用次数: 0
Revealing the origins of superior ion diffusion in biphasic layered oxide cathode for sodium-ion batteries 揭示钠离子电池双相层状氧化物阴极优越离子扩散的来源
IF 31.6 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2025-09-08 DOI: 10.1016/j.mser.2025.101110
Ming-Yuan Shen, Zhi-Jie Zhu, Wensha Niu, Tao Wu, Wen-Cui Li, An-Hui Lu
P2/O3 biphasic materials have emerged as competitive candidates for high-performance sodium-ion battery cathodes, and a thorough understanding of the ion diffusion behavior in biphasic structures particularly at phase interface is critical for unlocking their full potential. Herein, the NaxZn0.07Ni0.30Mn0.53Ti0.10O2 cathodes with finely-tuned P2/O3 phase ratios are designed and their ion diffusion mechanism is revealed through in-depth structural-electrochemical investigation. Experiments verify that a balanced phase composition of P2/O3-Na0.82 with 52.83 % P2 and 47.17 % O3 can maximize the coupling advantages of the biphasic structure and exhibit excellent Na+ diffusion kinetics, delivering a remarkable rate capability (143.0 mAh g−1 at 0.2 C, 100.2 mAh g−1 at 10 C with 70.1 % retention), outperforming most reported P2/O3 biphasic cathodes. High-resolution transmission electron microscopy and X-ray absorption fine structure results indicate that the coordination environment of Ni-O and Ni-TM paths undergoes conspicuous local symmetry breaking, driving the P2/O3-Na0.82 interface structure distortions, which exhibit unique characteristics distinct from single-phase systems. Theoretical analyses reveal that the interfacial distortions structures facilitate the overlap of Na+ energy distributions and create interconnecting bridges across different Na+ sites, ultimately promoting low-energy-barrier Na+ diffusion. These findings establish an atomic-level insight into the interface-induced ion diffusion acceleration mechanism in biphasic materials.
P2/O3双相材料已成为高性能钠离子电池阴极的有力候选材料,深入了解双相结构中离子扩散行为,特别是在相界面处,对于释放其全部潜力至关重要。本文设计了具有微调P2/O3相比的NaxZn0.07Ni0.30Mn0.53Ti0.10O2阴极,并通过深入的结构电化学研究揭示了其离子扩散机理。实验证实,P2/O3- na0.82的平衡相组成(52.83 % P2和47.17 % O3)可以最大限度地发挥双相结构的耦合优势,并表现出优异的Na+扩散动力学,提供了显着的速率能力(0.2 C时143.0 mAh g−1,10 C时100.2 mAh g−1,保留率为70.1 %),优于大多数报道的P2/O3双相阴极。高分辨率透射电镜和x射线吸收精细结构结果表明,Ni-O和Ni-TM路径的配位环境发生了明显的局部对称性破缺,导致P2/O3-Na0.82界面结构畸变,表现出不同于单相体系的独特特征。理论分析表明,界面畸变结构促进了Na+能量分布的重叠,并在不同的Na+位点之间建立了互连桥,最终促进了低能垒Na+的扩散。这些发现建立了对双相材料中界面诱导离子扩散加速机制的原子水平的洞察。
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引用次数: 0
Antiviral molecularly imprinted polymers: Engineered precision for multifunctional therapeutic strategies 抗病毒分子印迹聚合物:多功能治疗策略的工程精度
IF 31.6 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2025-09-05 DOI: 10.1016/j.mser.2025.101099
Xiaohan Ma , Latifa W. Allahou , Ren Yang , Yingqi Ma , Myrto Dimoula , David Y.S. Chau , Gareth R. Williams , Jonathan C. Knowles , Alessandro Poma
The pressing need for innovative antiviral therapies has accelerated the exploration of molecularly imprinted polymers (MIPs), which exhibit selective and specific biomimetic recognition capabilities. Although originally developed for chemical sensing and diagnostic applications, MIPs have shown considerable potential in antiviral contexts due to their structural adaptability, chemical stability, tunable physicochemical properties, and capacity for tailored target recognition that can rival natural antibodies in certain applications. This review provides a comprehensive overview of virological principles and the limitations of conventional antiviral strategies, followed by a rationale for employing MIPs in antiviral therapeutic applications. It briefly summarizes MIP fabrication methods and examines their antiviral potential across four strategic domains. These include inhibiting viral entry by recognizing intact virions or surface components, disrupting genome synthesis and replication by targeting structural and non-structural proteins as well as viral nucleic acids, enhancing immune responses by interfering with viral immune evasion and promoting immune-mediated clearance, and facilitating antiviral drug delivery through sustained-release carriers, stimuli-responsive platforms, and applications in pharmaceutical detection and purification. In addition to highlighting these applications, the review addresses critical translational challenges such as biocompatibility, off-target effects, large-scale manufacturing, and regulatory considerations, which remain key barriers to real-world deployment of antiviral MIP technologies. Future efforts should emphasize intelligent design tools, biosafety optimization, and standardization to support the safe and effective clinical translation of antiviral MIPs. Together, these insights position MIPs as a highly promising, multifunctional, and technologically adaptable platform that addresses key limitations of conventional therapies and paves the way for next-generation precision antiviral interventions.
对创新抗病毒疗法的迫切需求加速了对分子印迹聚合物(MIPs)的探索,这种聚合物具有选择性和特异性的仿生识别能力。虽然最初是为化学传感和诊断应用而开发的,但由于其结构适应性、化学稳定性、可调的物理化学性质以及在某些应用中可与天然抗体相媲美的定制目标识别能力,MIPs在抗病毒环境中显示出相当大的潜力。这篇综述提供了病毒学原理和传统抗病毒策略的局限性的全面概述,其次是在抗病毒治疗应用中使用MIPs的基本原理。它简要地总结了MIP的制造方法,并检查了它们在四个战略领域的抗病毒潜力。这些包括通过识别完整的病毒粒子或表面成分来抑制病毒进入,通过靶向结构蛋白和非结构蛋白以及病毒核酸来破坏基因组的合成和复制,通过干扰病毒免疫逃避和促进免疫介导的清除来增强免疫反应,通过缓释载体、刺激反应平台促进抗病毒药物的递送,以及在药物检测和纯化中的应用。除了强调这些应用之外,该综述还解决了关键的转化挑战,如生物相容性、脱靶效应、大规模生产和监管考虑,这些仍然是实际应用抗病毒MIP技术的主要障碍。未来的工作应强调智能设计工具、生物安全优化和标准化,以支持抗病毒MIPs安全有效的临床翻译。总之,这些见解将MIPs定位为一个非常有前途的、多功能的、技术适应性强的平台,解决了传统疗法的主要局限性,并为下一代精确抗病毒干预铺平了道路。
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引用次数: 0
Unveiling the biomaterial facet of polarized piezoelectric sodium potassium niobate: A comprehensive study 揭示极化压电铌酸钠的生物材料面:一项综合研究
IF 31.6 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2025-09-05 DOI: 10.1016/j.mser.2025.101111
Subhasmita Swain , Ashutosh Kumar Dubey , Tapash R. Rautray
The fabrication of electro-active bone substitute materials has sparked a significant attention due to the intrinsic electrical characteristics of bone. Recent studies have focused on improving the interaction between biomaterials and bone, recognizing its critical role in implant functionality. Early-stage implantation significantly influences the long-term success of an implant, with post-operative infections posing a major clinical challenge. This underscores the urgent need for advanced biocompatible materials that not only enhance tissue regeneration but also provide effective antibacterial defense. The exploration of bioelectricity in facilitating tissue repair has gained momentum, driven by the growing understanding of piezoelectric properties in natural bone. Harnessing the intrinsic electrical activity of biomaterials presents a promising approach, as bioelectricity is an inherent feature of bone cells, directly regulating their metabolic processes and contributing to tissue regeneration. Having a perovskite structure, lead-free piezo-ceramic sodium potassium niobate (NKN) possesses remarkable electroactive characteristics such as significantly high dielectric constant, superior piezoelectric characteristics, and strong electromechanical coupling coefficient, making it a potential electroactive candidate for tissue engineering. Due to the evidence of enhanced cytocompatibility, osteogenesis, antibacterial activities, along with electrical characteristics, it has been recognized as a potential electro-active bone substitute. This review provides a comprehensive analysis of bone and its intrinsic electrical properties, along with an in-depth examination of NKN—including its doping strategies, electroactive response mechanisms, and structural characteristics. Additionally, the role of poling in enhancing NKN’s electroactivity is explored, reinforcing its potential for biomedical applications. The review highlights NKN’s implications in bone tissue regeneration, soft tissue repair (nerve and vascular regeneration), and cancer therapy, underscoring its relevance across various fields of biomedical engineering. Finally, the summary outlines future research directions, emphasizing opportunities for further exploration and optimization of NKN-based biomaterials.
由于骨固有的电特性,电活性骨替代材料的制造引起了人们的极大关注。最近的研究集中在改善生物材料与骨之间的相互作用,认识到其在种植体功能中的关键作用。早期植入显著影响植入的长期成功,术后感染是主要的临床挑战。这强调了迫切需要先进的生物相容性材料,不仅可以增强组织再生,还可以提供有效的抗菌防御。随着对天然骨中压电特性的理解不断加深,生物电在促进组织修复方面的探索获得了动力。利用生物材料的固有电活动是一种很有前途的方法,因为生物电是骨细胞的固有特征,直接调节其代谢过程并有助于组织再生。无铅压电陶瓷铌酸钠(NKN)具有钙钛矿结构,具有显著的高介电常数、优异的压电特性和强的机电耦合系数等显著的电活性特性,是组织工程中潜在的电活性候选材料。由于有证据表明其具有增强的细胞相容性、成骨性、抗菌活性以及电特性,它已被认为是一种潜在的电活性骨替代品。这篇综述提供了骨骼及其内在电学特性的全面分析,以及对nkn的深入研究,包括其掺杂策略、电活性响应机制和结构特征。此外,极点在增强NKN的电活动中的作用进行了探索,加强了其生物医学应用的潜力。这篇综述强调了NKN在骨组织再生、软组织修复(神经和血管再生)和癌症治疗中的意义,强调了它在生物医学工程各个领域的相关性。最后,总结了未来的研究方向,强调了基于nkn的生物材料的进一步探索和优化的机会。
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引用次数: 0
Bioinspired textured sensor arrays with early temporal processing for ultrafast robotic tactile recognition 具有早期时间处理的仿生纹理传感器阵列用于超快速机器人触觉识别
IF 31.6 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2025-09-03 DOI: 10.1016/j.mser.2025.101113
Tingyu Wang , Zhiyi Gao , Chengyu Li , Guanbo Min , Kun Xu , En Zhao , Ke Wang , Wei Tang
Rapid tactile processing is one of the most effective and direct strategies for robots to interact with surrounding environment. However, achieving both fast and accurate tactile recognition remains a challenge due to the inherent trade-off between sensor sensitivity and reaction time. In this study, we developed a bioinspired textured sensor array (TSA) using a circular grid arrangement, which could provide rich information on dynamic tactile processes in a self-powered manner. Early tactile process model (ETPM) was introduced to prioritize early-stage tactile data, which enables ultrafast decision-making speed without compromising classification accuracy. Specifically, our system achieved early predictions of object classification with an accuracy of 92 % while using only the initial 19 % (48 ms) of tactile data. The practicability of this system was examined through integration into a robotic arm. An ultrafast reaction time of 89 ms was achieved in real-time object property prediction, which is even faster than human hands. This advancement provides a robust foundation for rapid and precise tactile recognition in robotic perception systems, improving the robot’s response speed, reliability, and intelligence in real-world applications, including collaborative manufacturing, assistive technologies, and interactive service environments.
快速触觉处理是机器人与周围环境进行交互的最有效、最直接的策略之一。然而,由于传感器灵敏度和反应时间之间的内在权衡,实现快速和准确的触觉识别仍然是一个挑战。在这项研究中,我们开发了一种采用圆形网格排列的仿生纹理传感器阵列(TSA),它可以以自供电的方式提供动态触觉过程的丰富信息。引入早期触觉过程模型(ETPM)对早期触觉数据进行优先排序,在不影响分类精度的前提下实现超快的决策速度。具体来说,我们的系统在仅使用最初的19 %(48 ms)触觉数据的情况下,以92 %的准确率实现了物体分类的早期预测。通过将该系统集成到机械臂上,验证了该系统的实用性。在实时的物体属性预测中,达到了89 ms的超快反应时间,甚至比人的手还快。这一进步为机器人感知系统中快速精确的触觉识别提供了坚实的基础,提高了机器人在现实世界应用中的响应速度、可靠性和智能,包括协同制造、辅助技术和交互式服务环境。
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Materials Science and Engineering: R: Reports
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