Qian Chen, Duo Xu, Yan Yan, Zhan Qu, Haoyue Zhao, Xinyu Li, Yuying Cao, Chenhong Lang, Wasim Akram, Zhe Sun, Li Niu, Jian Fang
Wearable sensing devices can reliably track players' mobility, revolutionizing sports training. However, current sensing electronics face challenges due to their complex structures, battery dependence, and unreliable sensing signals. Here, a tennis training system is demonstrated using machine learning based on elastic self‐powered sensing yarns. By employing a simple and effective strategy, piezoelectric nanofibers and triboelectric materials are integrated into a single yarn, enabling the simultaneous translation of both triboelectric and piezoelectric signals. Additionally, these yarns exhibit outstanding processability, allowing them to be machine‐knitted into self‐powered sensing fabrics. Due to their great sensitivity, these sensing yarns and fabrics may detect human movement with great precision. Machine learning algorithms can classify and interpret these signals to recognize various human motions. The developed tennis training system aims to maximize its benefits and provide comprehensive training for both players and coaches. This work enhances the applicability of self‐powered sensing systems in smart sports monitoring and training, advancing the field of intelligent sports training.
{"title":"A Self‐powered Tennis Training System Based on Micro‐Nano Structured Sensing Yarn Arrays","authors":"Qian Chen, Duo Xu, Yan Yan, Zhan Qu, Haoyue Zhao, Xinyu Li, Yuying Cao, Chenhong Lang, Wasim Akram, Zhe Sun, Li Niu, Jian Fang","doi":"10.1002/adfm.202414395","DOIUrl":"https://doi.org/10.1002/adfm.202414395","url":null,"abstract":"Wearable sensing devices can reliably track players' mobility, revolutionizing sports training. However, current sensing electronics face challenges due to their complex structures, battery dependence, and unreliable sensing signals. Here, a tennis training system is demonstrated using machine learning based on elastic self‐powered sensing yarns. By employing a simple and effective strategy, piezoelectric nanofibers and triboelectric materials are integrated into a single yarn, enabling the simultaneous translation of both triboelectric and piezoelectric signals. Additionally, these yarns exhibit outstanding processability, allowing them to be machine‐knitted into self‐powered sensing fabrics. Due to their great sensitivity, these sensing yarns and fabrics may detect human movement with great precision. Machine learning algorithms can classify and interpret these signals to recognize various human motions. The developed tennis training system aims to maximize its benefits and provide comprehensive training for both players and coaches. This work enhances the applicability of self‐powered sensing systems in smart sports monitoring and training, advancing the field of intelligent sports training.","PeriodicalId":18,"journal":{"name":"ACS Macro Letters","volume":"5 1","pages":""},"PeriodicalIF":19.0,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142597955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Designing excellent anode materials to enhance the sluggish interfacial kinetics of Na+ is a key challenge in improving the electrochemical performance of sodium‐ion batteries (SIBs). Herein, an ultra‐thin fast‐ionic conductor NaB5C coating TiB2 nanoflowers with vertically aligned nanosheet arrays to form yolk–shell TiB2@NaB5C (TBNBC) nanospheres as an anode material for SIBs. The unique structure creates direct and short ion/electron transfer pathways and reserves enough space to prevent the uneven electrochemical reactions from TiB2 nanosheets aggregation and stacking, thus ensuring the long‐term cycling stability of SIBs. Additionally, the NaB5C coating with fast‐ionic conductor functional interphase provides rapid Na+ transport channels and effectively reduces the Na+ de‐solvation barrier, accelerating Na+ reaction kinetics. Furthermore, a homogeneous and robust solid electrolyte interphase (SEI) film including inorganic boron species and fluorine‐rich inner layer is constructed on the TBNBC electrode to delocalize stress and induce a uniform Na+ flux, further promoting fast Na+ interphase reaction kinetics. Consequently, the optimized composites achieve ultrastable cycling performances of 173 mAh g−1 over 5000 cycles at 10 A g−1. More importantly, they also exhibit an outstanding capacity of 182.2 mAh g−1 at −20 °C. This work offers opportunities for the energy storage use of transition metal borides under extreme conditions.
{"title":"Constructing a Functional Fast‐Ion Conductor Interface for Vertically Aligned Titanium Boride Nanosheets to Achieve Superior Sodium‐Ion Storage Performances","authors":"Wenqing Wang, Qian Liu, Zhe Cui, Jinqi Zhu, Mengluan Gao, Lingjian Zhang, Fuming Weng, Rujia Zou","doi":"10.1002/adfm.202417457","DOIUrl":"https://doi.org/10.1002/adfm.202417457","url":null,"abstract":"Designing excellent anode materials to enhance the sluggish interfacial kinetics of Na<jats:sup>+</jats:sup> is a key challenge in improving the electrochemical performance of sodium‐ion batteries (SIBs). Herein, an ultra‐thin fast‐ionic conductor NaB<jats:sub>5</jats:sub>C coating TiB<jats:sub>2</jats:sub> nanoflowers with vertically aligned nanosheet arrays to form yolk–shell TiB<jats:sub>2</jats:sub>@NaB<jats:sub>5</jats:sub>C (TBNBC) nanospheres as an anode material for SIBs. The unique structure creates direct and short ion/electron transfer pathways and reserves enough space to prevent the uneven electrochemical reactions from TiB<jats:sub>2</jats:sub> nanosheets aggregation and stacking, thus ensuring the long‐term cycling stability of SIBs. Additionally, the NaB<jats:sub>5</jats:sub>C coating with fast‐ionic conductor functional interphase provides rapid Na<jats:sup>+</jats:sup> transport channels and effectively reduces the Na<jats:sup>+</jats:sup> de‐solvation barrier, accelerating Na<jats:sup>+</jats:sup> reaction kinetics. Furthermore, a homogeneous and robust solid electrolyte interphase (SEI) film including inorganic boron species and fluorine‐rich inner layer is constructed on the TBNBC electrode to delocalize stress and induce a uniform Na<jats:sup>+</jats:sup> flux, further promoting fast Na<jats:sup>+</jats:sup> interphase reaction kinetics. Consequently, the optimized composites achieve ultrastable cycling performances of 173 mAh g<jats:sup>−1</jats:sup> over 5000 cycles at 10 A g<jats:sup>−1</jats:sup>. More importantly, they also exhibit an outstanding capacity of 182.2 mAh g<jats:sup>−1</jats:sup> at −20 °C. This work offers opportunities for the energy storage use of transition metal borides under extreme conditions.","PeriodicalId":18,"journal":{"name":"ACS Macro Letters","volume":"14 1","pages":""},"PeriodicalIF":19.0,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142596598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jiamin Ye, Yueyue Fan, Yong Kang, Mengbin Ding, Gaoli Niu, Jinmei Yang, Ruiyan Li, Xiaoli Wu, Peng Liu, Xiaoyuan Ji
The existence of the blood–brain barrier (BBB) and the characteristics of the immunosuppressive microenvironment in glioblastoma (GBM) present significant challenges for targeted GBM therapy. To address this, a biomimetic hybrid cell membrane‐modified dual‐driven heterojunction nanomotor (HM@MnO2‐AuNR‐SiO2) is proposed for targeted GBM treatment. These nanomotors are designed to bypass the BBB and target glioma regions by mimicking the surface characteristics of GBM and macrophage membranes. More importantly, the MnO2‐AuNR‐SiO2 heterojunction structure enables dual‐driven propulsion through near‐infrared‐II (NIR‐II) light and oxygen bubbles, allowing effective treatment at deep tumor sites. Meanwhile, the plasmonic AuNR‐MnO2 heterostructure facilitates the separation of electron–hole pairs and generates reactive oxygen species (ROS), inducing immunogenic tumor cell death under NIR‐II laser irradiation. Furthermore, MnO2 in the tumor microenvironment reacts to release Mn2+ ions, activating the cGAS‐STING pathway and enhancing antitumor immunity. In vitro and in vivo experiments demonstrate that these dual‐driven biomimetic nanomotors achieve active targeting and deep tumor infiltration, promoting M1 macrophage polarization, dendritic cell maturation, and effector T‐cell activation, thereby enhancing GBM catalysis and immunotherapy through ROS production and STING pathway activation.
{"title":"Biomimetic Dual‐Driven Heterojunction Nanomotors for Targeted Catalytic Immunotherapy of Glioblastoma","authors":"Jiamin Ye, Yueyue Fan, Yong Kang, Mengbin Ding, Gaoli Niu, Jinmei Yang, Ruiyan Li, Xiaoli Wu, Peng Liu, Xiaoyuan Ji","doi":"10.1002/adfm.202416265","DOIUrl":"https://doi.org/10.1002/adfm.202416265","url":null,"abstract":"The existence of the blood–brain barrier (BBB) and the characteristics of the immunosuppressive microenvironment in glioblastoma (GBM) present significant challenges for targeted GBM therapy. To address this, a biomimetic hybrid cell membrane‐modified dual‐driven heterojunction nanomotor (HM@MnO<jats:sub>2</jats:sub>‐AuNR‐SiO<jats:sub>2</jats:sub>) is proposed for targeted GBM treatment. These nanomotors are designed to bypass the BBB and target glioma regions by mimicking the surface characteristics of GBM and macrophage membranes. More importantly, the MnO<jats:sub>2</jats:sub>‐AuNR‐SiO<jats:sub>2</jats:sub> heterojunction structure enables dual‐driven propulsion through near‐infrared‐II (NIR‐II) light and oxygen bubbles, allowing effective treatment at deep tumor sites. Meanwhile, the plasmonic AuNR‐MnO<jats:sub>2</jats:sub> heterostructure facilitates the separation of electron–hole pairs and generates reactive oxygen species (ROS), inducing immunogenic tumor cell death under NIR‐II laser irradiation. Furthermore, MnO<jats:sub>2</jats:sub> in the tumor microenvironment reacts to release Mn<jats:sup>2+</jats:sup> ions, activating the cGAS‐STING pathway and enhancing antitumor immunity. In vitro and in vivo experiments demonstrate that these dual‐driven biomimetic nanomotors achieve active targeting and deep tumor infiltration, promoting M1 macrophage polarization, dendritic cell maturation, and effector T‐cell activation, thereby enhancing GBM catalysis and immunotherapy through ROS production and STING pathway activation.","PeriodicalId":18,"journal":{"name":"ACS Macro Letters","volume":"45 1","pages":""},"PeriodicalIF":19.0,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142596686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nuno E. Silva, Ampattu R. Jayakrishnan, Adrian Kaim, Katarzyna Gwozdz, Leonardo Domingues, J. S. Kim, Marian C. Istrate, Corneliu Ghica, Mario Pereira, Luís Marques, M. J. M. Gomes, Robert L. Z. Hoye, Judith L. MacManus‐Driscoll, José P. B. Silva
Self‐powered near‐infrared (NIR) photodetectors are essential for surveillance systems, sensing in IoT electronics, facial recognition, health monitoring, optical communication networks, night vision, and biomedical imaging. However, silicon commercial detectors need external power to operate and cooling to suppress large dark currents. This work demonstrates a new class of CMOS‐compatible self‐powered NIR photodetector based on ferroelectric 5‐nm thick ZrO2 films which do not require cooling and therefore have two key advantages over Si, and at the same time have comparable performance metrics. At room‐temperature, under 940 nm wavelength illumination (1.4 mW cm−2 power density, 10 Hz repetition rate), and without any power applied, fast rise and fall times of ≈2 and 4 µs, respectively, are achieved in Al/Si/SiOx/ZrO2/ITO devices, along with responsivity, detectivity and sensitivity values of up to ≈3.4 A W−1, 1.2 × 1010 Jones and 4.2 × 103, respectively, far exceeding all other emerging self‐powered systems. Furthermore, dual‐band NIR detection is shown for different NIR wavelengths, proof‐of‐concept feasibility being demonstrated for the smart identification of NIR targets. Therefore, it is demonstrated, for the first time, that coupling together the pyroelectric effect, the photovoltaic effect, and the ferroelectric effect is a novel method to significantly enhance the performance of CMOS‐compatible ZrO2‐based self‐powered photodetectors in the NIR region.
{"title":"Ultra‐Sensitive, Self‐powered, CMOS‐Compatible Near‐Infrared Photodetectors for Wide‐Ranging Applications","authors":"Nuno E. Silva, Ampattu R. Jayakrishnan, Adrian Kaim, Katarzyna Gwozdz, Leonardo Domingues, J. S. Kim, Marian C. Istrate, Corneliu Ghica, Mario Pereira, Luís Marques, M. J. M. Gomes, Robert L. Z. Hoye, Judith L. MacManus‐Driscoll, José P. B. Silva","doi":"10.1002/adfm.202416979","DOIUrl":"https://doi.org/10.1002/adfm.202416979","url":null,"abstract":"Self‐powered near‐infrared (NIR) photodetectors are essential for surveillance systems, sensing in IoT electronics, facial recognition, health monitoring, optical communication networks, night vision, and biomedical imaging. However, silicon commercial detectors need external power to operate and cooling to suppress large dark currents. This work demonstrates a new class of CMOS‐compatible self‐powered NIR photodetector based on ferroelectric 5‐nm thick ZrO<jats:sub>2</jats:sub> films which do not require cooling and therefore have two key advantages over Si, and at the same time have comparable performance metrics. At room‐temperature, under 940 nm wavelength illumination (1.4 mW cm<jats:sup>−2</jats:sup> power density, 10 Hz repetition rate), and without any power applied, fast rise and fall times of ≈2 and 4 µs, respectively, are achieved in Al/Si/SiO<jats:sub><jats:italic>x</jats:italic></jats:sub>/ZrO<jats:sub>2</jats:sub>/ITO devices, along with responsivity, detectivity and sensitivity values of up to ≈3.4 A W<jats:sup>−1</jats:sup>, 1.2 × 10<jats:sup>10</jats:sup> Jones and 4.2 × 10<jats:sup>3</jats:sup>, respectively, far exceeding all other emerging self‐powered systems. Furthermore, dual‐band NIR detection is shown for different NIR wavelengths, proof‐of‐concept feasibility being demonstrated for the smart identification of NIR targets. Therefore, it is demonstrated, for the first time, that coupling together the pyroelectric effect, the photovoltaic effect, and the ferroelectric effect is a novel method to significantly enhance the performance of CMOS‐compatible ZrO<jats:sub>2</jats:sub>‐based self‐powered photodetectors in the NIR region.","PeriodicalId":18,"journal":{"name":"ACS Macro Letters","volume":"25 1","pages":""},"PeriodicalIF":19.0,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142596689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-08DOI: 10.1038/s42255-024-01165-x
Here, we introduce Artificial Intelligence Ready and Equitable Atlas for Diabetes Insights (AI-READI), a multidisciplinary data-generation project designed to create and share a multimodal dataset optimized for artificial intelligence research in type 2 diabetes mellitus.
{"title":"AI-READI: rethinking AI data collection, preparation and sharing in diabetes research and beyond","authors":"","doi":"10.1038/s42255-024-01165-x","DOIUrl":"https://doi.org/10.1038/s42255-024-01165-x","url":null,"abstract":"Here, we introduce Artificial Intelligence Ready and Equitable Atlas for Diabetes Insights (AI-READI), a multidisciplinary data-generation project designed to create and share a multimodal dataset optimized for artificial intelligence research in type 2 diabetes mellitus.","PeriodicalId":18,"journal":{"name":"ACS Macro Letters","volume":"70 1","pages":""},"PeriodicalIF":20.8,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142597489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-08DOI: 10.1038/s42256-024-00923-6
Ruijiang Li, Jiang Lu, Ziyi Liu, Duoyun Yi, Mengxuan Wan, Yixin Zhang, Peng Zan, Song He, Xiaochen Bo
Variational graph encoders effectively combine graph convolutional networks with variational autoencoders, and have been widely employed for biomedical graph-structured data. Lam and colleagues developed a framework based on the variational graph encoder, NYAN, to facilitate the prediction of molecular properties in computer-assisted drug design. In NYAN, the low-dimensional latent variables derived from the variational graph autoencoder are leveraged as a universal molecular representation, yielding remarkable performance and versatility throughout the drug discovery process. In this study we assess the reusability of NYAN and investigate its applicability within the context of specific chemical toxicity prediction. The prediction accuracy—based on NYAN latent representations and other popular molecular feature representations—is benchmarked across a broad spectrum of toxicity datasets, and the adaptation of NYAN latent representation to other surrogate models is also explored. NYAN, equipped with common surrogate models, shows competitive or better performance in toxicity prediction compared with other state-of-the-art molecular property prediction methods. We also devise a multi-task learning strategy with feature enhancement and consensus inference by leveraging the low dimensionality and feature diversity of NYAN latent space, further boosting the multi-endpoint acute toxicity estimation. The analysis delves into the adaptability of the generic graph variational model, showcasing its aptitude for tailored tasks within the realm of drug discovery.
{"title":"Reusability report: exploring the utility of variational graph encoders for predicting molecular toxicity in drug design","authors":"Ruijiang Li, Jiang Lu, Ziyi Liu, Duoyun Yi, Mengxuan Wan, Yixin Zhang, Peng Zan, Song He, Xiaochen Bo","doi":"10.1038/s42256-024-00923-6","DOIUrl":"https://doi.org/10.1038/s42256-024-00923-6","url":null,"abstract":"<p>Variational graph encoders effectively combine graph convolutional networks with variational autoencoders, and have been widely employed for biomedical graph-structured data. Lam and colleagues developed a framework based on the variational graph encoder, NYAN, to facilitate the prediction of molecular properties in computer-assisted drug design. In NYAN, the low-dimensional latent variables derived from the variational graph autoencoder are leveraged as a universal molecular representation, yielding remarkable performance and versatility throughout the drug discovery process. In this study we assess the reusability of NYAN and investigate its applicability within the context of specific chemical toxicity prediction. The prediction accuracy—based on NYAN latent representations and other popular molecular feature representations—is benchmarked across a broad spectrum of toxicity datasets, and the adaptation of NYAN latent representation to other surrogate models is also explored. NYAN, equipped with common surrogate models, shows competitive or better performance in toxicity prediction compared with other state-of-the-art molecular property prediction methods. We also devise a multi-task learning strategy with feature enhancement and consensus inference by leveraging the low dimensionality and feature diversity of NYAN latent space, further boosting the multi-endpoint acute toxicity estimation. The analysis delves into the adaptability of the generic graph variational model, showcasing its aptitude for tailored tasks within the realm of drug discovery.</p>","PeriodicalId":18,"journal":{"name":"ACS Macro Letters","volume":"35 1","pages":""},"PeriodicalIF":23.8,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142596493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Layered transition metal oxide (LTMO) cathode materials of sodium‐ion batteries (SIBs) have shown great potential in large‐scale energy storage applications owing to their distinctive periodic layered structure and 2D ion diffusion channels. However, several challenges have hindered their widespread application, including phase transition complexities, interface instability, and susceptibility to air exposure. Fortunately, an impactful solution has emerged in the form of a high‐entropy doping strategy employed in energy storage research. Through the implementation of high‐entropy doping, LTMOs can overcome the aforementioned limitations, thereby elevating LTMO materials to a highly competitive and attractive option for next‐generation cathodes of SIBs. Thus, a comprehensive overview of the origins, definition, and characteristics of high‐entropy doping is provided. Additionally, the challenges associated with LTMOs in SIBs are explored, and discussed various modification methods to address these challenges. This review places significant emphasis on conducting a thorough analysis of the research advancements about high‐entropy LTMOs utilized in SIBs. Furthermore, a meticulous assessment of the future development trajectory is undertaken, heralding valuable research insights for the design and synthesis of advanced energy storage materials.
{"title":"Progress and Perspective of High‐Entropy Strategy Applied in Layered Transition Metal Oxide Cathode Materials for High‐Energy and Long Cycle Life Sodium‐Ion Batteries","authors":"Lei Wang, Leilei Wang, Haichao Wang, Hanghang Dong, Weiwei Sun, Li‐Ping Lv, Chao Yang, Yao Xiao, Feixiang Wu, Yong Wang, Shulei Chou, Bing Sun, Guoxiu Wang, Shuangqiang Chen","doi":"10.1002/adfm.202417258","DOIUrl":"https://doi.org/10.1002/adfm.202417258","url":null,"abstract":"Layered transition metal oxide (LTMO) cathode materials of sodium‐ion batteries (SIBs) have shown great potential in large‐scale energy storage applications owing to their distinctive periodic layered structure and 2D ion diffusion channels. However, several challenges have hindered their widespread application, including phase transition complexities, interface instability, and susceptibility to air exposure. Fortunately, an impactful solution has emerged in the form of a high‐entropy doping strategy employed in energy storage research. Through the implementation of high‐entropy doping, LTMOs can overcome the aforementioned limitations, thereby elevating LTMO materials to a highly competitive and attractive option for next‐generation cathodes of SIBs. Thus, a comprehensive overview of the origins, definition, and characteristics of high‐entropy doping is provided. Additionally, the challenges associated with LTMOs in SIBs are explored, and discussed various modification methods to address these challenges. This review places significant emphasis on conducting a thorough analysis of the research advancements about high‐entropy LTMOs utilized in SIBs. Furthermore, a meticulous assessment of the future development trajectory is undertaken, heralding valuable research insights for the design and synthesis of advanced energy storage materials.","PeriodicalId":18,"journal":{"name":"ACS Macro Letters","volume":"13 1","pages":""},"PeriodicalIF":19.0,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142594657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Photodynamic therapy (PDT) stands out as a highly promising modality for tumor treatment, yet previous works have primarily centered around either boosting the production of reactive oxygen species (ROS) in tumor tissues or restricting it in normal tissues. The current challenge lies in the urgent need to achieve precise modulation of ROS production by simultaneously controlling both aspects. To achieve this goal, a precise PDT platform through a “locking-unlocking-boosting” ROS production strategy is presented, in which the generation of ROS is modulated by bidirectionally regulating the upconversion luminescence (UCL) of lanthanide-doped nanoparticles (LnNPs), thus ROS production is “locked” in normal tissues but “boosted” in tumor tissues. In detail, by introducing an energy acceptor BHQ3, the UCL is initially quenched to prevent Chlorin e6 (Ce6) from generating ROS. However, under the tumor microenvironment with overexpressed miR-21, LnNPs are sequestered from BHQ3 to “unlock” ROS generation and then assembled with QDs@B2, which functions as an antenna to sensitize LnNPs luminescence, to further “boost” ROS generation. With the assistance of spherical nucleic acids, this therapeutic agent effectively traverses the blood-brain barrier (BBB), enabling efficient PDT for glioblastoma.
{"title":"miR-21-Trigged Precise Photodynamic Therapy Through a “Locking-Unlocking-Boosting” ROS Production Strategy","authors":"Mengting Zhu, Tao Liang, Yupei Zhao, Zhen Li","doi":"10.1002/adfm.202418016","DOIUrl":"https://doi.org/10.1002/adfm.202418016","url":null,"abstract":"Photodynamic therapy (PDT) stands out as a highly promising modality for tumor treatment, yet previous works have primarily centered around either boosting the production of reactive oxygen species (ROS) in tumor tissues or restricting it in normal tissues. The current challenge lies in the urgent need to achieve precise modulation of ROS production by simultaneously controlling both aspects. To achieve this goal, a precise PDT platform through a “locking-unlocking-boosting” ROS production strategy is presented, in which the generation of ROS is modulated by bidirectionally regulating the upconversion luminescence (UCL) of lanthanide-doped nanoparticles (LnNPs), thus ROS production is “locked” in normal tissues but “boosted” in tumor tissues. In detail, by introducing an energy acceptor BHQ3, the UCL is initially quenched to prevent Chlorin e6 (Ce6) from generating ROS. However, under the tumor microenvironment with overexpressed miR-21, LnNPs are sequestered from BHQ3 to “unlock” ROS generation and then assembled with QDs@B2, which functions as an antenna to sensitize LnNPs luminescence, to further “boost” ROS generation. With the assistance of spherical nucleic acids, this therapeutic agent effectively traverses the blood-brain barrier (BBB), enabling efficient PDT for glioblastoma.","PeriodicalId":18,"journal":{"name":"ACS Macro Letters","volume":"44 1","pages":""},"PeriodicalIF":19.0,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142588352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Efficient lithium/magnesium (Li+/Mg2+) separation attainment is fundamental to the extraction of lithium from brine by nanofiltration membrane separation process, which is essential for resource recovery and a circular water economy. However, for poly(piperazine-amide) nanofilm composite membranes, the higher electronegativity affects the Mg2+ rejection and consequently Li+/Mg2+ separation performance. Manipulating the positive charge density and pore size regulation of the nanofiltration membranes are determinative of the Li+/Mg2+ separation performance improvement. Here, a new monomer 1,1′-(hexane-1,6-diyl)bis(1-methylpiperazin-1-ium) bromide containing bis-quaternary ammonium cations is employed as a molecular building block to fabricate polyamide nanofilms via interfacial polymerization. The dual quaternary ammoniums and the rod-shaped conformation of the monomer confer enhanced electropositivity, steric hindrance, loosely packed microporous network structure (pore diameter∼0.8–1.35 nm), and high free volume. The resultant membrane exhibits high water permeance of 28.34 L m−2 h−1 bar−1 with good Li+/Mg2+ selectivity of up to 76.9. In addition, the membrane also exhibits chlorine stability performance owing to the lack of the chlorine sensitive −NH groups in the formed tertiary amide structures. Computational insights on the structural properties, nanofilm formation, and transmembrane water and ion transport behaviors are provided. This study offers insightful theoretical and technological concepts to design and construct membrane materials for energy-efficient separations.
{"title":"Poly(bis(1-methylpiperazin-1-ium-amide) Nanofilm Composite Membrane with Nanochannel‑Enabled Microporous Structure and Enhanced Steric Hindrance for Magnesium/Lithium Separation","authors":"Faizal Soyekwo, Changkun Liu, Xin Mao, Xinyu Shi","doi":"10.1002/adfm.202412463","DOIUrl":"https://doi.org/10.1002/adfm.202412463","url":null,"abstract":"Efficient lithium/magnesium (Li<sup>+</sup>/Mg<sup>2+</sup>) separation attainment is fundamental to the extraction of lithium from brine by nanofiltration membrane separation process, which is essential for resource recovery and a circular water economy. However, for poly(piperazine-amide) nanofilm composite membranes, the higher electronegativity affects the Mg<sup>2+</sup> rejection and consequently Li<sup>+</sup>/Mg<sup>2+</sup> separation performance. Manipulating the positive charge density and pore size regulation of the nanofiltration membranes are determinative of the Li<sup>+</sup>/Mg<sup>2+</sup> separation performance improvement. Here, a new monomer 1,1′-(hexane-1,6-diyl)bis(1-methylpiperazin-1-ium) bromide containing bis-quaternary ammonium cations is employed as a molecular building block to fabricate polyamide nanofilms via interfacial polymerization. The dual quaternary ammoniums and the rod-shaped conformation of the monomer confer enhanced electropositivity, steric hindrance, loosely packed microporous network structure (pore diameter∼0.8–1.35 nm), and high free volume. The resultant membrane exhibits high water permeance of 28.34 L m<sup>−2</sup> h<sup>−1</sup> bar<sup>−1</sup> with good Li<sup>+</sup>/Mg<sup>2+</sup> selectivity of up to 76.9. In addition, the membrane also exhibits chlorine stability performance owing to the lack of the chlorine sensitive −NH groups in the formed tertiary amide structures. Computational insights on the structural properties, nanofilm formation, and transmembrane water and ion transport behaviors are provided. This study offers insightful theoretical and technological concepts to design and construct membrane materials for energy-efficient separations.","PeriodicalId":18,"journal":{"name":"ACS Macro Letters","volume":"16 1","pages":""},"PeriodicalIF":19.0,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142588348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Joaquin E. Urrutia Gómez, Meijun Zhou, Nikolaj K. Mandsberg, Julian A. Serna, Julius von Padberg, Sida Liu, Markus Reischl, Pavel A. Levkin, Anna A. Popova
The droplet microarray (DMA) platform is a powerful tool for high-throughput biological and chemical applications, enabling miniaturization and parallelization of experimental processes. Capable of holding hundreds of nanoliter droplets, it facilitates the screening and analysis of samples, such as cells, bacteria, embryos, and spheroids. Handling thousands of small volumes in parallel presents significant challenges. In this study, we utilize the open format of the DMA for controlled, parallel high-throughput liquid manipulations using the sandwich technique. We demonstrate high-throughput medium replacement at nanoliter-scale, maintaining high cell viability on DMA for up to 7 days; for HeLa-CLL2 cells (adherent) and SU-DHL4 cells (suspension), and up to 14 days for HEK293 spheroids. Additionally, we achieve highly parallel aliquot uptake from nanoliter droplets, enabling non-destructive cell viability assessments. Furthermore, the presented method enables the parallel transfer of cell spheroids between different DMAs, allowing transfer and pooling of spheroids in seconds without damage. These advances significantly enhance the capabilities of the DMA platform, enabling long-term cell culture in nanoliter droplets and parallel sampling for high-throughput cell or spheroid manipulation. This broadens the scope of DMA's potential applications in fields such as cell-based high-throughput screening, formation of complex 3D cell models for drug screening, and microtissue engineering.
{"title":"Highly Parallel and High-Throughput Nanoliter-Scale Liquid, Cell, and Spheroid Manipulation on Droplet Microarray","authors":"Joaquin E. Urrutia Gómez, Meijun Zhou, Nikolaj K. Mandsberg, Julian A. Serna, Julius von Padberg, Sida Liu, Markus Reischl, Pavel A. Levkin, Anna A. Popova","doi":"10.1002/adfm.202410355","DOIUrl":"https://doi.org/10.1002/adfm.202410355","url":null,"abstract":"The droplet microarray (DMA) platform is a powerful tool for high-throughput biological and chemical applications, enabling miniaturization and parallelization of experimental processes. Capable of holding hundreds of nanoliter droplets, it facilitates the screening and analysis of samples, such as cells, bacteria, embryos, and spheroids. Handling thousands of small volumes in parallel presents significant challenges. In this study, we utilize the open format of the DMA for controlled, parallel high-throughput liquid manipulations using the sandwich technique. We demonstrate high-throughput medium replacement at nanoliter-scale, maintaining high cell viability on DMA for up to 7 days; for HeLa-CLL2 cells (adherent) and SU-DHL4 cells (suspension), and up to 14 days for HEK293 spheroids. Additionally, we achieve highly parallel aliquot uptake from nanoliter droplets, enabling non-destructive cell viability assessments. Furthermore, the presented method enables the parallel transfer of cell spheroids between different DMAs, allowing transfer and pooling of spheroids in seconds without damage. These advances significantly enhance the capabilities of the DMA platform, enabling long-term cell culture in nanoliter droplets and parallel sampling for high-throughput cell or spheroid manipulation. This broadens the scope of DMA's potential applications in fields such as cell-based high-throughput screening, formation of complex 3D cell models for drug screening, and microtissue engineering.","PeriodicalId":18,"journal":{"name":"ACS Macro Letters","volume":"28 1","pages":""},"PeriodicalIF":19.0,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142588869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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