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Au‐Nanodots Embedded Self‐Rectifying Analog Charge Trap Memristor with Modified Bias Voltage Application Method for Stable Multi‐Bit Hardware‐Based Neural Network 金纳米点嵌入式自整流模拟电荷捕获晶闸管与用于稳定多位硬件神经网络的修正偏置电压应用方法
Pub Date : 2024-09-13 DOI: 10.1002/admt.202400965
Taegyun Park, Jihun Kim, Young Jae Kwon, Han Joon Kim, Seong Pil Yim, Dong Hoon Shin, Yeong Rok Kim, Hae Jin Kim, Cheol Seong Hwang
The self‐rectifying memristor with a bilayer of trap‐rich HfO2 and insulating Ta2O5 oxide layers is considered one of the most promising candidates for the memristive crossbar array due to its superior switching performance, scalability with 3D stacking, and low operating power. However, the output current variation due to the electron detrapping from trap states can cause the failure of critical operations in neuromorphic applications. This work suggests two solutions to mitigate the switching variations and insufficient data retention time by embedding gold nanodots and modifying the bias voltage application methods for read, write, and erase operations in the crossbar array. The switching mechanism is studied by varying the embedded position of the gold nanodots across the thickness direction of the bilayered oxides, which helped to optimize device performance further. Combining the two solutions into the proposed self‐rectifying memristor enables a single device to have the 7‐possible, stable states by preventing interstate overlap and securing the retention. Consequently, the hardware neural network consisting of self‐rectifying memristors with gold nanodots with the modified bias voltage application methods demonstrates a high inference accuracy of 93.1% in MNIST handwritten digit classification, comparable to the software‐based accuracy of 93.4%, benefiting from the enhanced multi‐state uniformity.
由富含阱的 HfO2 和绝缘的 Ta2O5 氧化层组成的双层自整流忆阻器因其优越的开关性能、三维堆叠的可扩展性和低工作功率而被认为是最有前途的忆阻器横条阵列候选器件之一。然而,由于电子从陷阱态脱离而导致的输出电流变化会导致神经形态应用中的关键操作失效。这项工作提出了两种解决方案,通过嵌入金纳米点和修改交叉条阵列中读取、写入和擦除操作的偏置电压应用方法,缓解开关变化和数据保留时间不足的问题。通过改变金纳米点在双层氧化物厚度方向上的嵌入位置来研究开关机制,这有助于进一步优化器件性能。将这两种解决方案结合到所提出的自校正忆阻器中,通过防止状态间重叠和确保保持,可使单个器件具有 7 种可能的稳定状态。因此,由自整流忆阻器和金纳米点组成的硬件神经网络采用改进的偏置电压应用方法,在MNIST手写数字分类中实现了93.1%的高推理准确率,与基于软件的93.4%的准确率相当,这得益于增强的多态均匀性。
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引用次数: 0
Enhanced Electrochemical Performances of Hard Carbon via Nickel‐Metal Catalyzed Surface Conversion Graphitic Crystallites 通过镍金属催化表面转化石墨晶体提高硬碳的电化学性能
Pub Date : 2024-09-13 DOI: 10.1002/admt.202400907
Junsheng Yuan, Muxuan Li, Mengjing Jin, Yanting Wang, Guowen Sun, Jianqiao Song, Jinyuan Zhou, Xia Ni, Xiaojun Pan
The surface of hard carbon is rich in micropores, disordered graphene layers, defects, and various functional groups that can serve as reactive sites. However, these reaction sites are non‐equivalent sites both electronically and geometrically. Consequently, the solid electrolyte interface (SEI) formed on the hard carbon electrode exhibits instability in the organic electrolyte system, resulting in a continuous depletion of LiPF6 within the electrolyte, thereby compromising its cycling stability. Herein, the formation of stable SEI is induced by modulating the surface structure of hard carbon fibers. The transition metal nickel is utilized to convert the disordered structure on the surface of hard carbon fibers into graphitic crystallites at high temperatures. This also reduces the functional groups, micropores, defects, and disordered graphene layers on the surface of the hard carbon fibers, making the active sites equiv. Meanwhile, the highly active graphene edges are uniformly exposed as nucleation sites on the fibers surface, which induces the formation of a uniform and dense SEI and inhibits the continuous decomposition of LiPF6, thus improving the rate performance and cycling stability of the hard carbon.
硬碳表面有丰富的微孔、无序石墨烯层、缺陷和各种可作为反应位点的官能团。然而,这些反应位点在电子和几何上都是非等价位点。因此,硬碳电极上形成的固体电解质界面(SEI)在有机电解质体系中表现出不稳定性,导致电解质中的 LiPF6 不断耗竭,从而影响其循环稳定性。在此,通过调节硬碳纤维的表面结构,诱导形成稳定的 SEI。利用过渡金属镍在高温下将硬碳纤维表面的无序结构转化为石墨结晶。这也减少了硬碳纤维表面的官能团、微孔、缺陷和无序石墨烯层,使活性位点等效。同时,高活性石墨烯边缘作为成核点均匀地暴露在纤维表面,从而诱导形成均匀致密的 SEI,抑制 LiPF6 的持续分解,从而提高硬碳的速率性能和循环稳定性。
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引用次数: 0
Self‐Rectifying Short‐Term Memory Phenomena Through Integration of TiOx Oxygen Reservoir and Al2O3 Barrier Layers for Neuromorphic System 为神经形态系统集成氧化钛储氧层和氧化铝阻挡层,实现自矫正短时记忆现象
Pub Date : 2024-09-13 DOI: 10.1002/admt.202400895
Hyeonseung Ji, Sungjoon Kim, Sungjun Kim
In this study, a tri‐layer Pt/Al/TiOx/HfOx/Al2O3/Pt memristor device is fabricated and analyze its electrical characteristics for reservoir computing and neuromorphic systems applications. This device incorporates an oxygen reservoir of a TiOx and a barrier layer of an Al2O3, enabling stable bipolar switching characteristics without the need for an electroforming process over 103 cycles. It also exhibits self‐rectifying properties under a negative bias. Based on these characteristics, it is investigated essential synaptic functions such as long‐term potentiation (LTP), long‐term depression (LTD), paired‐pulse facilitation (PPF), spike‐rate‐dependent plasticity (SRDP), spike‐duration‐dependent plasticity (SDDP), spike‐number‐dependent plasticity (SNDP), and spike‐amplitude‐dependent plasticity (SADP), to assess their suitability for neuromorphic applications that mimic biological synapses. Furthermore, utilizing the short‐term memory characteristics of the device, reservoir computing (RC) measurement from [0000] to [1111] in 4‐bit representation is conducted. This capability enables us to achieve a high accuracy of 95.5% in MNIST pattern recognition tasks. Lastly, the natural decay characteristics caused by oxygen ion migration in the device, examining the transition from short‐term to long‐term memory in image memorization tasks is explored. The potential for deployment in high‐density crossbar arrays by calculating the read margin based on the device I–V curve and programming scheme is also evaluated.
本研究制作了一种三层铂/铝/氧化钛/氧化铪/氧化铝/铂忆阻器器件,并分析了其在存储计算和神经形态系统应用中的电气特性。该器件包含一个由 TiOx 组成的储氧层和一个由 Al2O3 组成的阻挡层,无需经过 103 次循环的电铸过程,即可实现稳定的双极开关特性。在负偏压下,它还具有自整流特性。基于这些特性,研究人员对长期延时(LTP)、长期抑制(LTD)、成对脉冲促进(PPF)、尖峰速率依赖性可塑性(SRDP)、尖峰持续时间依赖性可塑性(SDDP)、尖峰数量依赖性可塑性(SNDP)和尖峰振幅依赖性可塑性(SADP)等基本突触功能进行了研究,以评估它们是否适合模拟生物突触的神经形态应用。此外,我们还利用该设备的短期存储器特性,以 4 位表示法进行了从 [0000] 到 [1111] 的储层计算 (RC) 测量。这一功能使我们在 MNIST 模式识别任务中实现了 95.5% 的高准确率。最后,我们还探讨了氧离子在器件中迁移引起的自然衰减特性,研究了图像记忆任务中从短期记忆到长期记忆的过渡。此外,我们还评估了根据器件 I-V 曲线和编程方案计算读取余量,在高密度交叉条阵列中进行部署的潜力。
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引用次数: 0
Initiator‐Free Crosslinking Process Without Organic Solvent for Polymer Gel Electrolyte of Lithium Metal Batteries 用于锂金属电池聚合物凝胶电解质的无有机溶剂无引发剂交联工艺
Pub Date : 2024-09-13 DOI: 10.1002/admt.202400851
Sanghyun Park, Chi Keung Song, Mincheol Jung, Seong Min Jeon, Changhee Chae, Woo‐Jin Song, Kyung Jin Lee
For the next generation of lithium batteries, polymer‐based electrolytes are promising candidates for resolving issues from liquid electrolytes such as leakage, flammability, and explosion. Various attempts have been carried out to develop polymer electrolytes based on poly(ethylene oxide) (PEO), polyacrylonitrile, polyvinylidene fluoride, etc., resulting in suppression for dendrite growth on Li metal and mechanical support against internal or external shock as well. Among these polymer electrolytes, PEO has been widely used due to their relatively high ionic conduction through the hopping of Li ions. Herein, poly(GAP‐co‐THF) diol (PGT) having a similar main chain to PEO while containing azide groups in a side chain is synthesized. To enhance the processability of polymer electrolytes, the thermal crosslinking process is performed via azide‐alkene cycloaddition between PGT and poly(ethylene glycol) diacrylate with lithium bis(trifluoromethanesulfonyl)imide without any initiators and organic solvents. Thickness controllable thin film of polymer electrolyte is obtained after the crosslinking process, resulting in outstanding advantages with respect to stacking of batteries. To check the electrochemical stabilities and cell performances of these polymer electrolytes, cyclic voltammetry, linear symmetric voltammetry, LiFePO4∥Li cell, and Li symmetric cell tests are accomplished.
对于下一代锂电池,聚合物电解质是解决液态电解质泄漏、易燃和爆炸等问题的有前途的候选材料。人们已经进行了各种尝试,开发基于聚环氧乙烷(PEO)、聚丙烯腈、聚偏氟乙烯等的聚合物电解质,从而抑制锂金属上的枝晶生长,并提供机械支持以抵御内部或外部冲击。在这些聚合物电解质中,聚醚砜因其通过锂离子跳跃产生的相对较高的离子传导性而被广泛使用。在此,我们合成了主链与 PEO 相似,但侧链中含有叠氮基团的聚(GAP-co-THF)二元醇(PGT)。为了提高聚合物电解质的加工性能,在不使用任何引发剂和有机溶剂的情况下,通过叠氮-烯环加成法在 PGT 和聚乙二醇二丙烯酸酯与双(三氟甲磺酰基)亚胺锂之间进行热交联。交联后可获得厚度可控的聚合物电解质薄膜,从而在电池堆叠方面具有突出优势。为了检验这些聚合物电解质的电化学稳定性和电池性能,我们完成了循环伏安法、线性对称伏安法、LiFePO4∥Li 电池和 Li 对称电池测试。
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引用次数: 0
Scalable Reduced Graphene Oxide Conductive Layer‐Based Particulate Photocathodes for Photoelectrochemical Water Splitting 用于光电化学水分离的可扩展还原氧化石墨烯导电层颗粒光电阴极
Pub Date : 2024-09-13 DOI: 10.1002/admt.202400392
Ruiyuan Sun, Qinglu Liu, Qitao Liu, Weilong Qin, Jiabo Le, Xiaopei Ren, Muhammad Bilal Akbar, Yang Zhou, Chonghan Xia, Licheng Sun, Yongbo Kuang
Particle transfer method photoelectrodes show superior photoelectrochemical performance compared to traditional powder‐based methods, making them a promising solution for solar water splitting in sustainable energy. This study introduces an innovative nonvacuum particle transfer method for fabricating photoelectrodes on a conductive carbon substrate, addressing the challenges associated with the high costs and vacuum deposition processes of traditional methods. Utilizing a p‐type CuFeO2 powder semiconductor, a unique substrate is developed by applying a graphene oxide layer mixed with a small amount of silica binder on the particle layer's backside through ultrasonic atomization spraying. This layer is converted into multilayered reduced graphene oxide (ML‐rGO) via wet chemical reduction, resulting in a substrate boasting a high work function (4.8 eV), alongside remarkable chemical stability, mechanical strength, and conductivity. The fabricated CuFeO2 photocathode demonstrated an onset potential of 0.97 V versus RHE and a photocurrent density of 1.5 mA cm−2 at 0.6 V versus RHE for H2O2 reduction. Further enhancement is achieved by depositing Pt as a cocatalyst, which ensured stability for over 20 h in an alkaline medium for water splitting. This study sets a new benchmark for developing CuFeO2‐based photocathodes, paving the way for broader particle transfer method applications.
与传统的粉末法相比,颗粒转移法光电极显示出更优越的光电化学性能,使其成为可持续能源中太阳能水分离的一种前景广阔的解决方案。本研究介绍了一种在导电碳基底上制造光电极的创新型非真空粒子转移方法,解决了传统方法的高成本和真空沉积工艺带来的挑战。利用 p 型 CuFeO2 粉末半导体,通过超声波雾化喷涂在颗粒层背面涂上一层氧化石墨烯和少量二氧化硅粘合剂,从而开发出一种独特的基底。这层氧化石墨烯通过湿化学还原法转化为多层还原氧化石墨烯(ML-rGO),从而产生了一种具有高功函数(4.8 eV)、出色的化学稳定性、机械强度和导电性的基底。制备的 CuFeO2 阴极在还原 H2O2 时的起始电位为 0.97 V(相对于 RHE),光电流密度为 1.5 mA cm-2(相对于 RHE 为 0.6 V)。通过沉积铂作为共催化剂,可进一步提高其性能,从而确保其在碱性介质中超过 20 小时的水分离稳定性。这项研究为开发基于 CuFeO2 的光电阴极树立了新的标杆,为更广泛的粒子转移法应用铺平了道路。
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引用次数: 0
3D Printing and Biomedical Applications of Piezoelectric Composites: A Critical Review 压电复合材料的 3D 打印和生物医学应用:评论
Pub Date : 2024-09-13 DOI: 10.1002/admt.202401160
Suyun Li, Yanbo Shan, Jingyi Chen, Xiaotong Chen, Zengqin Shi, Lisheng Zhao, Rujie He, Ying Li
Piezoelectric composites have received widespread attentions in the fields of biomedicine and in vitro wearable devices due to their ability to convert mechanical forces into charge signals. The preparation of piezoelectric composites with complex structures through 3D printing technology can not only effectively improve their piezoelectric output, but also enable their customized therapeutic applications. This paper first introduces the types of piezoelectric composites and reviews the 3D printing technology commonly used in their preparation, analyzing the advantages and disadvantages of each 3D printing technology. Then, the state‐of‐the‐art of the biomedical applications of piezoelectric composites, including drug sustained‐release, wound healing promotion, bone tissue cells growth promoting, neurorehabilitation stimulating, ultrasonic diagnosis, and in vivo biosensing and in vitro wearable sensing, are emphasized. Finally, the main factors affecting the applications of 3D printed piezoelectric composites are outlooked, and an in‐depth discussion on the challenges toward 3D printed piezoelectric composites are analyzed. This review is believed to provide some fundamental knowledge of 3D printed piezoelectric composites.
压电复合材料能够将机械力转化为电荷信号,因此在生物医学和体外可穿戴设备领域受到广泛关注。通过三维打印技术制备具有复杂结构的压电复合材料,不仅能有效提高其压电输出,还能实现定制化治疗应用。本文首先介绍了压电复合材料的类型,并回顾了制备压电复合材料常用的 3D 打印技术,分析了每种 3D 打印技术的优缺点。然后,重点介绍了压电复合材料在生物医学方面的应用现状,包括药物缓释、促进伤口愈合、促进骨组织细胞生长、刺激神经康复、超声波诊断、体内生物传感和体外可穿戴传感等。最后,展望了影响 3D 打印压电复合材料应用的主要因素,并深入探讨了 3D 打印压电复合材料面临的挑战。相信这篇综述能为读者提供一些有关 3D 打印压电复合材料的基础知识。
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引用次数: 0
Wireless Power and Data Transfer Technologies for Flexible Bionic and Bioelectronic Interfaces: Materials and Applications 用于柔性仿生和生物电子界面的无线供电和数据传输技术:材料与应用
Pub Date : 2024-09-12 DOI: 10.1002/admt.202400797
Massimo Mariello, Christopher M. Proctor
The next‐generation bionics and, more specifically, wearable and implantable bioelectronics require wireless, battery‐free, long‐term operation and seamless bio‐integration. Design considerations, materials choice, and implementation of efficient architectures have become crucial for the fabrication and deployment of wireless devices, especially if they are flexible or soft. Wireless power and data transfer represent key elements for the development of robust, efficient, and reliable systems for health monitoring, advanced disease diagnosis and treatment, personalized medicine. Here, the recent advances in materials and technologies used for wireless energy sourcing and telemetry in bio‐integrated flexible bionic and bioelectronic systems are reviewed. The study tackles different challenges related to mechanical compliance, low thickness, small footprint, biocompatibility, biodegradability, and in vivo implementation. The work also delves into the main figures of merit that are mostly adopted to quantify the wireless power/data transfer performances. Lastly, the pivotal applications of wearable and implantable wireless bionics/bioelectronics are summarized, such as electrical stimulation/recording, real‐time monitoring of physiological parameters, light delivery trough optical interfaces, electromechanical stimulation via ultrasounds, highlighting their potential for future implementation and the challenges related to their commercialization.
下一代仿生学,更具体地说,可穿戴和植入式生物电子学,需要无线、无电池、长期运行和无缝生物集成。设计考虑因素、材料选择和高效架构的实施对无线设备的制造和部署至关重要,尤其是柔性或软性设备。无线供电和数据传输是为健康监测、先进疾病诊断和治疗以及个性化医疗开发稳健、高效和可靠系统的关键要素。本文回顾了用于生物集成柔性仿生和生物电子系统中的无线能量来源和遥测的材料和技术的最新进展。该研究探讨了与机械顺应性、低厚度、小尺寸、生物相容性、生物降解性和体内实施有关的各种挑战。研究还深入探讨了用于量化无线功率/数据传输性能的主要性能指标。最后,还总结了可穿戴和植入式无线仿生学/生物电子学的关键应用,如电刺激/记录、生理参数实时监测、光学接口光传输、通过超声波进行机电刺激等,强调了其未来实施的潜力及其商业化的相关挑战。
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引用次数: 0
Physical Virtualization of a GFET for a Versatile, High‐Throughput, and Highly Discriminating Detection of Target Gas Molecules at Room Temperature 物理虚拟化 GFET,实现室温下目标气体分子的多功能、高通量和高分辨检测
Pub Date : 2024-09-11 DOI: 10.1002/admt.202400985
Michele Zanotti, Sonia Freddi, Luigi Sangaletti
An e‐nose is built on a single graphene field effect transistor (GFET), based on a graphene/Si3N4/p‐Si stack of layers. Multichannel data acquisition, enabling to mimic the architecture of a sensor array, is achieved by steering the gate potential, thus yielding a virtual array of 2D chemiresistors on a single sensing layer. This setting allows for the detection of volatile compounds with a remarkable discrimination capability, boosted by intensive machine learning analysis and accuracy maximization through the choice of the number of virtual sensors. Sensing of gas phase NH3 is tested, along with a set of possible interferents, and discrimination of NH3+NO2 mixtures is successfully probed. High throughput in terms of sensitivity is achieved by tracking the shift of the minimum of the GFET transfer curve versus NH3 concentration. With this readout scheme, a 20‐fold sensitivity increase over a 5–50 ppm range is registered to the same layer used as a chemiresistor. High discrimination capability is probed by leveraging machine learning algorithms, from principal component analysis (PCA) to Uniform Manifold Approximation and Projection (U‐MAP) and, finally, to a Deep Neural Networks (DNN) where input neurons are the virtual sensors created by the gate voltage driving. For the tested case, the DNN maximum accuracy is achieved with 21 virtual sensors.
电子鼻是建立在单个石墨烯场效应晶体管(GFET)上的,该场效应晶体管基于石墨烯/Si3N4/p-Si 层叠。通过调节栅极电位,可实现多通道数据采集,从而在单个传感层上形成一个虚拟的二维化学电阻器阵列,以模仿传感器阵列的结构。通过密集的机器学习分析,以及通过选择虚拟传感器的数量来最大限度地提高准确性,这种设置可以检测挥发性化合物,并具有显著的分辨能力。对气相 NH3 以及一系列可能的干扰物的传感进行了测试,并成功探测了 NH3+NO2 混合物的分辨能力。通过跟踪 GFET 转移曲线的最小值相对于 NH3 浓度的移动,实现了灵敏度方面的高通量。采用这种读出方案,在 5-50 ppm 的范围内,作为化学电阻器使用的同一层的灵敏度提高了 20 倍。通过利用机器学习算法,从主成分分析 (PCA) 到均匀曲面逼近和投影 (U-MAP),最后到深度神经网络 (DNN),其中输入神经元是由栅极电压驱动创建的虚拟传感器,从而探测高分辨能力。在测试案例中,21 个虚拟传感器实现了 DNN 的最高精度。
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引用次数: 0
Bioinks from All‐Natural Pickering Emulgels Co‐Stabilized by Cationic CNC and Inclusion Complexes Formed by α‐Cyclodextrin 由阳离子 CNC 和 α-Cyclodextrin 形成的包涵复合物共同稳定的全天然 Pickering Emulgels 生物墨水
Pub Date : 2024-09-11 DOI: 10.1002/admt.202400549
Esther E. Jaekel, Rubina Ajdary, Nathan Holwell, Sean Mathew, Brian G. Amsden, Kevin J. De France, Orlando J. Rojas, Markus Antonietti, Svitlana Filonenko
Direct ink writing is especially relevant to the biomedical field due to the customizable extrusion and the possibility of creating pre‐designed architectures. Abundant natural polymers are sustainable and biocompatible alternatives to synthetic and persistent polymers. The printing of pure nanocellulose suspensions proves difficult due to low solid loadings, high shrinkage, as well as non‐fitting rheology. Emulsion gels (emulgel) alternatives gain attention in the field owing to their favorable viscoelastic properties and the possibility of creating multiphase systems. The authors’ sulfur‐free cationic cellulose nanocrystals (CNC) of low degree of substitution enable straightforward deployment in Pickering emulsions. An emulgel ink co‐stabilized by cationic CNC and α‐cyclodextrin is introduced as an interfacial inclusion complex. All ink components are natural and biodegradable compounds. The produced emulgel inks allow for high fidelity printing and minimum shrinkage upon drying that relaxes the need for supports, even in complex overhanging structures. A low yield stress (230–270 Pa) facilitates the inclusion of cells for biomedical applications into the formulation. The emulgel can be tuned to the desired rheological properties and be equipped with both polar and apolar compounds due to the biphasic system, making it a promising platform for biocompatible additive manufacturing.
直接墨水书写技术与生物医学领域尤为相关,因为它可以进行定制挤压,还可以创建预先设计好的结构。丰富的天然聚合物是合成聚合物和持久性聚合物的可持续和生物相容性替代品。由于固体含量低、收缩率高以及流变性不合适,纯纳米纤维素悬浮液的印刷非常困难。乳液凝胶(emulgel)替代品因其良好的粘弹性能和创建多相系统的可能性而在该领域备受关注。作者的低取代度无硫阳离子纤维素纳米晶体(CNC)可直接用于皮克林乳液。一种由阳离子 CNC 和 α-环糊精共同稳定的乳胶油墨作为界面包合复合物被引入。所有油墨成分均为天然可生物降解的化合物。生产出的乳胶油墨可实现高保真印刷,干燥时收缩率最小,即使在复杂的悬挂结构中也无需支撑物。低屈服应力(230-270 帕)有利于在配方中加入生物医学应用细胞。由于采用了双相体系,这种乳胶凝胶可根据所需的流变特性进行调整,并同时含有极性和非极性化合物,使其成为生物相容性增材制造的理想平台。
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引用次数: 0
Rationalizing Defective Biomimetic Ceria: In Vitro Demonstration of a Potential “Trojan Horse” Nanozyme Based‐Platform Leveraging Photo‐Redox Activities for Minimally Invasive Therapy 合理化缺陷仿生铈:基于纳米酶的潜在 "特洛伊木马 "平台的体外演示:利用光氧化还原活性进行微创治疗
Pub Date : 2024-09-10 DOI: 10.1002/admt.202400556
Sayoni Sarkar, Diksha Malhotra, Monalisha Debnath, Gopal C. Kundu, Rohit Srivastava, Ajit R. Kulkarni
Semiconductor nanostructures with surface defect‐mediated chemistry have garnered pronounced interest due to their exceptional photo‐induced intracellular bio‐catalytic (enzyme‐mimicking) responses. However, designing defective nanozymes with pH‐responsive multi‐bio‐catalytic functions without any dopants is challenging. Herein, oxygen‐deficient “trojan horse‐like” folate‐functionalized, L‐arginine‐coated ceria (FA‐L‐arg‐CeO2) nanozymes with synergistic multi‐enzyme‐mimicking and anti‐cancer potential are introduced. Intrinsic surface oxygen vacancies (VO) are strategically created in the nanozymes under kinetically favorable synthesis conditions. Increased surface VO promotes band structure reconstruction and amplified photochemical‐response efficacy under single laser irradiation (808 nm), outperforming the defect‐free commercial nano‐CeO2 in rapid anti‐tumorigenic activities. Through folate receptor‐mediated endocytosis, these biostable nanozymes localized in MDA‐MB‐231 cells (84% in 48 h) and demonstrated NIR‐accelerated enzymatic functions depending on the pH of the biological milieu. The reduced band gap energy facilitated effective electron‐hole separation, up‐regulating in vitro photo‐redox reactions that impart exceptional therapeutic potential and inhibit 62% cell metastasis within only 12 h. By perturbing intratumoural redox homeostasis, VO‐rich FA‐L‐arg‐CeO2 nanozymes unanimously killed 86% of MDA‐MB‐231 cancer cells while preferentially shielding benign L929 cells. Transcending beyond conventional drug‐loaded or dopant‐incorporated‐CeO2 nanoplatforms, these defective multi‐modal nanozymes unravel a new avenue for developing smart, low‐cost, bio‐active agents with enhanced efficacy and bio‐safety.
具有表面缺陷介导化学性质的半导体纳米结构因其卓越的光诱导细胞内生物催化(模拟酶)反应而受到广泛关注。然而,要在不使用任何掺杂剂的情况下设计出具有 pH 响应的多重生物催化功能的缺陷纳米分子,却极具挑战性。本文介绍了具有协同多酶模拟和抗癌潜力的缺氧 "特洛伊木马式 "叶酸功能化、L-精氨酸涂层陶瓷(FA-L-arg-CeO2)纳米酶。在动力学上有利的合成条件下,内在表面氧空位(VO●)被策略性地制造在纳米酶中。在单次激光照射(808 纳米)下,增加的表面氧空位●促进了带状结构的重构和光化学响应功效的放大,在快速抗肿瘤活性方面优于无缺陷的商用纳米二氧化硒。通过叶酸受体介导的内吞作用,这些生物稳定的纳米酶在 MDA-MB-231 细胞中定位(48 小时内定位率达 84%),并根据生物环境的 pH 值显示出近红外加速酶功能。通过扰乱瘤内氧化还原平衡,富含 VO● 的 FA-L-arg-CeO2 纳米酶一致杀死了 86% 的 MDA-MB-231 癌细胞,同时优先保护了良性 L929 细胞。这些有缺陷的多模态纳米分子超越了传统的药物负载或掺杂-CeO2纳米平台,为开发具有更高的功效和生物安全性的智能、低成本、生物活性制剂开辟了一条新途径。
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引用次数: 0
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Advanced Materials & Technologies
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