Pub Date : 2026-01-11DOI: 10.1007/s40820-025-01955-2
Wenqi Wang, Xiaolong Wei, Bolong Xu, Hengshuo Gui, Yan Yan, Huiyu Liu, Xianwen Wang
The development of highly efficient and multifunctional nanozymes holds promise for addressing the challenges posed by drug-resistant bacteria. Here, copper single-atom-loaded MoS 2 nanozymes (Cu SAs/MoS 2 ) were developed to effectively combat drug-resistant bacteria by synergistically integrating the triple strategies of oxidative damage, cuproptosis-like death and disruption of cell wall synthesis. Density functional theory revealed that each Cu center coordinated with three sulfur ligands, enhancing the adsorption of H 2 O 2 , which reduced the activation energy of the key step by 17%, thereby improving peroxidase-like (POD-like) activity. The generation of reactive oxygen species in combination with Cu SAs/MoS 2 glutathione peroxidase-like (GSH-Px-like) for glutathione scavenging resulted in an imbalance in redox homeostasis within bacteria. Cu SAs/MoS 2 , which act as nanopioneers, drive oxidative stress to initiate the process of cuproptosis-like death, leading to abnormal aggregation of lipoylated proteins and inactivation of iron‒sulfur cluster proteins. Moreover, Cu SAs/MoS 2 inhibited the biosynthesis of the peptidoglycan synthesis precursors d -glutamate and m-diaminopimelic acid and disrupted the peptidoglycan cross-linking process mediated by penicillin-binding proteins, effectively blocking the compensatory cell wall remodeling pathway of β-lactam-resistant bacteria. Overall, Cu SAs/MoS 2 with multiple functions can not only efficiently kill bacteria but also decelerate the development of bacterial resistance to combat drug-resistant bacterial infections.
{"title":"Copper Single-Atoms Loaded on Molybdenum Disulphide Drive Bacterial Cuproptosis-Like Death and Interrupt Drug-Resistance Compensation Pathways","authors":"Wenqi Wang, Xiaolong Wei, Bolong Xu, Hengshuo Gui, Yan Yan, Huiyu Liu, Xianwen Wang","doi":"10.1007/s40820-025-01955-2","DOIUrl":"https://doi.org/10.1007/s40820-025-01955-2","url":null,"abstract":"The development of highly efficient and multifunctional nanozymes holds promise for addressing the challenges posed by drug-resistant bacteria. Here, copper single-atom-loaded MoS <jats:sub>2</jats:sub> nanozymes (Cu SAs/MoS <jats:sub>2</jats:sub> ) were developed to effectively combat drug-resistant bacteria by synergistically integrating the triple strategies of oxidative damage, cuproptosis-like death and disruption of cell wall synthesis. Density functional theory revealed that each Cu center coordinated with three sulfur ligands, enhancing the adsorption of H <jats:sub>2</jats:sub> O <jats:sub>2</jats:sub> , which reduced the activation energy of the key step by 17%, thereby improving peroxidase-like (POD-like) activity. The generation of reactive oxygen species in combination with Cu SAs/MoS <jats:sub>2</jats:sub> glutathione peroxidase-like (GSH-Px-like) for glutathione scavenging resulted in an imbalance in redox homeostasis within bacteria. Cu SAs/MoS <jats:sub>2</jats:sub> , which act as nanopioneers, drive oxidative stress to initiate the process of cuproptosis-like death, leading to abnormal aggregation of lipoylated proteins and inactivation of iron‒sulfur cluster proteins. Moreover, Cu SAs/MoS <jats:sub>2</jats:sub> inhibited the biosynthesis of the peptidoglycan synthesis precursors <jats:sc>d</jats:sc> -glutamate and m-diaminopimelic acid and disrupted the peptidoglycan cross-linking process mediated by penicillin-binding proteins, effectively blocking the compensatory cell wall remodeling pathway of β-lactam-resistant bacteria. Overall, Cu SAs/MoS <jats:sub>2</jats:sub> with multiple functions can not only efficiently kill bacteria but also decelerate the development of bacterial resistance to combat drug-resistant bacterial infections.","PeriodicalId":714,"journal":{"name":"Nano-Micro Letters","volume":"82 1","pages":""},"PeriodicalIF":26.6,"publicationDate":"2026-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145947289","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Flexible and wearable sensors offer immense potential for rehabilitation medicine, but most rely solely on electrical signals, lacking real-time visual feedback and limiting trainee’s interactivity. Inspired by the structural coloration of Cyanocitta stelleri feathers, we developed a dual-mode sensor by utilizing black conductive polymer hydrogel (CPH)-enhanced structural color strategy. This sensor integrates a hydroxypropyl cellulose (HPC)-based structural color interface with a designed CPH sensing component. Highly visible light-absorbing CPH (absorption rate > 88%) serves as the critical substrate for enhancing structural color performance. By absorbing incoherent scattered light and suppressing background interference, it significantly enhances the saturation of structural color, thereby achieving a high contrast index of 4.92. Unlike the faint and hardly visible structural colors on non-black substrates, the HPC on CPH displays vivid, highly perceptible colors and desirable mechanochromic behavior. Moreover, the CPH acts as a flexible sensing element, fortified by hydrogen and coordination bond networks, and exhibits exceptional electromechanical properties, including 867.1 kPa tensile strength, strain sensitivity (gauge factor of 4.24), and outstanding durability (over 4400 cycles). Compared to traditional single-mode sensors, the integrated sensor provides real-time visual and digital dual feedback, enhancing the accuracy and interactivity of rehabilitation assessments. This technology holds promise for advancing next-generation rehabilitation medicine.
{"title":"Dual-Mode Sensor with Saturated Mechanochromic Structural Color Enhanced by Black Conductive Hydrogel for Interactive Rehabilitation Monitoring","authors":"Zhiyuan Sun, Binhong Yu, Chao Dong, Chengjun Yu, Lianghe Sheng, Zhe Cui, Yaming Liu, Zhenni Lu, Bingda Chen, Daixi Xie, Zhandong Huang, Songshan Zeng, Qingdong Ou","doi":"10.1007/s40820-025-01963-2","DOIUrl":"https://doi.org/10.1007/s40820-025-01963-2","url":null,"abstract":"Flexible and wearable sensors offer immense potential for rehabilitation medicine, but most rely solely on electrical signals, lacking real-time visual feedback and limiting trainee’s interactivity. Inspired by the structural coloration of Cyanocitta stelleri feathers, we developed a dual-mode sensor by utilizing black conductive polymer hydrogel (CPH)-enhanced structural color strategy. This sensor integrates a hydroxypropyl cellulose (HPC)-based structural color interface with a designed CPH sensing component. Highly visible light-absorbing CPH (absorption rate > 88%) serves as the critical substrate for enhancing structural color performance. By absorbing incoherent scattered light and suppressing background interference, it significantly enhances the saturation of structural color, thereby achieving a high contrast index of 4.92. Unlike the faint and hardly visible structural colors on non-black substrates, the HPC on CPH displays vivid, highly perceptible colors and desirable mechanochromic behavior. Moreover, the CPH acts as a flexible sensing element, fortified by hydrogen and coordination bond networks, and exhibits exceptional electromechanical properties, including 867.1 kPa tensile strength, strain sensitivity (gauge factor of 4.24), and outstanding durability (over 4400 cycles). Compared to traditional single-mode sensors, the integrated sensor provides real-time visual and digital dual feedback, enhancing the accuracy and interactivity of rehabilitation assessments. This technology holds promise for advancing next-generation rehabilitation medicine.","PeriodicalId":714,"journal":{"name":"Nano-Micro Letters","volume":"44 1 1","pages":""},"PeriodicalIF":26.6,"publicationDate":"2026-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145947290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Recent years have witnessed the significant breakthrough in the field of new materials discovery brought about by the artificial intelligence (AI). AI has successfully been applied for predicting the formability, revealing the properties, and guiding the experimental synthesis of materials. Rapid progress has been made in the integration of increasing database and improved computing power. Though some reviews present the development from their unique aspects, reviews from the view of how AI empowered both discovery of new materials and cognition of existing materials that covers the completed contents with two synergistical aspects are few. Here, the newest development is systematically reviewed in the field of AI empowered materials, reflecting advanced design of the intelligent systems for discovery, synthesis, prediction and validation of materials. First, background and mechanisms are briefed, after which the design for the AI systems with data, machine learning and automated laboratory included is illustrated. Next, strategies are summarized to obtain the AI systems for materials with improved performance which comprehensively cover the aspects from the in-depth cognizance of existing material and the rapid discovery of new materials, and then, the design thought for future AI systems in material science is pointed out. Finally, some perspectives are put forward.
{"title":"Artificial Intelligence Empowered New Materials: Discovery, Synthesis, Prediction to Validation.","authors":"Ying Cao,Hong Fu,Jian Lu,Yuejiao Chen,Titao Jing,Xi Fan,Bingang Xu","doi":"10.1007/s40820-025-01945-4","DOIUrl":"https://doi.org/10.1007/s40820-025-01945-4","url":null,"abstract":"Recent years have witnessed the significant breakthrough in the field of new materials discovery brought about by the artificial intelligence (AI). AI has successfully been applied for predicting the formability, revealing the properties, and guiding the experimental synthesis of materials. Rapid progress has been made in the integration of increasing database and improved computing power. Though some reviews present the development from their unique aspects, reviews from the view of how AI empowered both discovery of new materials and cognition of existing materials that covers the completed contents with two synergistical aspects are few. Here, the newest development is systematically reviewed in the field of AI empowered materials, reflecting advanced design of the intelligent systems for discovery, synthesis, prediction and validation of materials. First, background and mechanisms are briefed, after which the design for the AI systems with data, machine learning and automated laboratory included is illustrated. Next, strategies are summarized to obtain the AI systems for materials with improved performance which comprehensively cover the aspects from the in-depth cognizance of existing material and the rapid discovery of new materials, and then, the design thought for future AI systems in material science is pointed out. Finally, some perspectives are put forward.","PeriodicalId":714,"journal":{"name":"Nano-Micro Letters","volume":"84 1","pages":"109"},"PeriodicalIF":26.6,"publicationDate":"2026-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145937632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wood, once regarded primarily as a structural material, possesses rich physicochemical complexity that has long been underexplored. In the context of industrialization and carbon imbalance, it is now emerging as a renewable and multifunctional platform for green nanotechnologies. Recent advances in wood nanotechnology have enabled the transformation of natural wood into programmable substrates with tailored nanoarchitectures, establishing it as a representative class of bio-based nanomaterials. This review systematically categorizes wood-specific nanoengineering strategies-including thermal carbonization, laser-induced graphenization, targeted delignification, nanomaterial integration, and mechanical processing-highlighting their mechanisms and impacts on wood's multiscale structural and functional properties. Importantly, these functionalization strategies can be flexibly combined in a modular, "Lego-like" manner, enabling wood to be reconfigured and optimized for diverse application scenarios. We summarize recent progress in applying functionalized wood to sustainable technologies such as energy storage (e.g., metal-ion batteries, Zn-air systems, supercapacitors), water treatment (e.g., adsorption, photothermal filtration, catalytic degradation), and energy conversion (e.g., solar evaporation, ionic thermoelectrics, hydrovoltaics, and triboelectric nanogenerators). These studies reveal how nanoengineered wood structures can enable efficient charge transport, selective adsorption, and enhanced light-to-heat conversion. Finally, the review discusses current challenges-such as scalable fabrication, material integration, and long-term environmental stability-and outlines future directions for the development of wood-based platforms in next-generation green energy and environmental systems.
{"title":"Functionalized Wood: A Green Nanoengineering Platform for Sustainable Technologies.","authors":"Tuo Zhang,Mingwei Gu,Yizhu Liu,Guangyao Chen,Haiyang Zhang,Liguo Chen,Xingwen Zhou,Lining Sun,Zhen Wen,Yunlei Zhou,Haibo Huang","doi":"10.1007/s40820-025-01953-4","DOIUrl":"https://doi.org/10.1007/s40820-025-01953-4","url":null,"abstract":"Wood, once regarded primarily as a structural material, possesses rich physicochemical complexity that has long been underexplored. In the context of industrialization and carbon imbalance, it is now emerging as a renewable and multifunctional platform for green nanotechnologies. Recent advances in wood nanotechnology have enabled the transformation of natural wood into programmable substrates with tailored nanoarchitectures, establishing it as a representative class of bio-based nanomaterials. This review systematically categorizes wood-specific nanoengineering strategies-including thermal carbonization, laser-induced graphenization, targeted delignification, nanomaterial integration, and mechanical processing-highlighting their mechanisms and impacts on wood's multiscale structural and functional properties. Importantly, these functionalization strategies can be flexibly combined in a modular, \"Lego-like\" manner, enabling wood to be reconfigured and optimized for diverse application scenarios. We summarize recent progress in applying functionalized wood to sustainable technologies such as energy storage (e.g., metal-ion batteries, Zn-air systems, supercapacitors), water treatment (e.g., adsorption, photothermal filtration, catalytic degradation), and energy conversion (e.g., solar evaporation, ionic thermoelectrics, hydrovoltaics, and triboelectric nanogenerators). These studies reveal how nanoengineered wood structures can enable efficient charge transport, selective adsorption, and enhanced light-to-heat conversion. Finally, the review discusses current challenges-such as scalable fabrication, material integration, and long-term environmental stability-and outlines future directions for the development of wood-based platforms in next-generation green energy and environmental systems.","PeriodicalId":714,"journal":{"name":"Nano-Micro Letters","volume":"57 1","pages":"108"},"PeriodicalIF":26.6,"publicationDate":"2026-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145937633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}