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Bioinspired Ultrasensitive Flexible Strain Sensors for Real‑Time Wireless Detection of Liquid Leakage

Nano-Micro Letters 2025年第3期17卷 310-327页

作者： Weilong Zhou Yu Du Yingying Chen Congyuan Zhang Xiaowei Ning Heng Xie Ting Wu Jinlian Hu Jinping Qu Key Laboratory of Material Chemistry for Energy Conversion and Storage Ministry of EducationHubei Key Laboratory of Material Chemistry and Service Failure and Hubei Engineering Research Center for Biomaterials and Medical Protective MaterialsSchool of Chemistry and Chemical EngineeringHuazhong University of Science and TechnologyWuhan 430074People’s Republic of China School of Materials Science and Engineering Wuhan Institute of TechnologyWuhan 430205People’s Republic of China Department of Biomedical Engineering City University of Hong KongHong KongSAR 999077People’s Republic of China

Liquid leakage of pipeline networks not only results in considerableresource wastage but also leads to environmental pollution and ecological *** response to this global issue, a bioinspired superhydrophobic thermoplastic polyurethane/carbon nanotubes/graphene nanosheets flexible strain sensor (TCGS) hasbeen developed using a combination of micro-extrusion compression molding andsurface modification for real-time wireless detection of liquid leakage. The TCGSutilizes the synergistic effects of Archimedean spiral crack arrays and micropores,which are inspired by the remarkable sensory capabilities of scorpions. This designachieves a sensitivity of 218.13 at a strain of 2%, which is an increase of 4300%. Additionally, it demonstrates exceptional durability bywithstanding over 5000 usage cycles. The robust superhydrophobicity of the TCGS significantly enhances sensitivity and stability indetecting small-scale liquid leakage, enabling precise monitoring of liquid leakage across a wide range of sizes, velocities, and compositionswhile issuing prompt alerts. This provides critical early warnings for both industrial pipelines and potential liquid leakage scenariosin everyday life. The development and utilization of bioinspired ultrasensitive flexible strain sensors offer an innovative and effectivesolution for the early wireless detection of liquid leakage.

关键词： Thermoplastic polyurethane Bioinspired Cracks Liquid leakage Flexible strain sensor

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Exploring the thermal properties of gallium sulfide (GaS) for high-temperature applications

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Applied Physics A: Materials Science and Processing 2025年第6期131卷 1-7页

作者： Isik, M. Altuntas, G. Gasanly, N.M. Department of Biomedical Engineering Faculty of Engineering and Architecture İzmir Bakırçay University İzmir35665 Turkey Biomedical Technologies Design Application and Research Center İzmir Bakırçay University İzmir35665 Turkey Faculty of Technology Department of Metallurgical and Materials Engineering Gazi University Ankara Turkey Department of Physics Middle East Technical University Ankara06800 Turkey Virtual International Scientific Research Centre Baku State University Baku1148 Azerbaijan

The thermal stability and decomposition behavior of gallium sulfide (GaS) material are critical factors in determining its suitability for high-temperature applications. This study comprehensively investigates the GaS compound using thermogravimetric analysis (TGA), differential thermal analysis (DTA), and differential scanning calorimetry (DSC) to assess its thermal stability, decomposition mechanisms, and potential applications. TGA results revealed that GaS exhibits remarkable thermal stability up to 722 °C, with a significant weight loss observed at temperatures exceeding 786 °C. The activation energy for the key decomposition process between 722 and 786 °C was calculated to be 257 kJ/mol, indicating an energy-intensive reaction involving sulfur evaporation and structural reorganization. DTA analysis highlighted a major endothermic event at 789 °C. Additionally, DSC analysis identified two thermal processes with activation energies of 117 and 53 kJ/mol, respectively. These findings demonstrate that GaS not only maintains its structural integrity at high temperatures but also possesses unique thermal properties, making it a promising candidate for high-temperature electronics, thermophotovoltaics, and sensor technologies where thermal robustness is essential. © The Author(s) 2025.

关键词： Temperature distribution

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NIR-Ⅱ-activated whole-cell vaccine with ultra-efficient semiconducting diradical oligomers for breast carcinoma growth and metastasis inhibition

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Acta Pharmaceutica Sinica B 2025年第2期15卷 1159-1170页

作者： Yijian Gao Yachao Zhang Yujie Ma Xiliang Li Yu Wang Huan Chen Yingpeng Wan Zhongming Huang Weimin Liu Pengfei Wang Lidai Wang Chun-Sing Lee Shengliang Li College of Pharmaceutical Sciences the Fourth Affiliated Hospital of Soochow UniversitySuzhou Medical CollegeSoochow UniversitySuzhou 215123China Key Laboratory of Biomedical Imaging Science and System Suzhou Institute of Biomedical Engineering and TechnologyChinese Academy of SciencesSuzhou 215163China Center of Super-Diamond and Advanced Films(COSDAF) Department of ChemistryCity University of Hong KongHong Kong SAR 999077China Department of Biomedical Engineering City University of Hong KongHong Kong SARChina Technical Institute of Physics and Chemistry Chinese Academy of SciencesBeijing 100190China Joint Laboratory of Nano-organic Functional Materials and Devices(TIPC and CityU) City University of Hong KongHong Kong SAR 999077China

High-performance phototheranostics with combined photothermal therapy and photoacoustic imaging have been considered promising approaches for efficient cancer diagnosis and ***,developing phototheranostic materials with efficient photothermal conversion efficiency(PCE),especially over the second near-infrared window(NIR-Ⅱ,1000-1700 nm),remains ***,we report an ultraefficient NIR-Ⅱ-activated nanomedicine with phototheranostic and vaccination capability for highly efficient in vivo tumor elimination and metastasis *** NIR-Ⅱnanomedicine of a semiconducting biradical oligomer with a motor-flexible design was demonstrated with a record-breaking PCE of 87%upon NIR-Ⅱ*** nanomedicine inherently features extraordinary photothermal stability,good biocompatibility,and excellent photoacoustic performance,contributing to high-contrast photoacoustic imaging in living mice and high-performance photothermal elimination of ***,a whole-cell vaccine based on a NIR-Ⅱnanomedicine with NIR-Ⅱ-activated performance was further designed to remotely activate the antitumor immunologic memory and effectively inhibit tumor occurrence and metastasis in vivo,with good ***,this work paves a new avenue for designing NIR-Ⅱactive semiconducting biradical materials as a promising theranostics platform and further promotes the development of NIR-Ⅱnanomedicine for personalized cancer treatment.

关键词： NIR-Ⅱ Semiconducting oligomer Photothermal therapy Vaccine Nanoparticles Theranostics Breast carcinoma Immunotherapy

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Physics-Inspired Generative Models in Medical Imaging

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Annual review of biomedical engineering 2025年第1期27卷 499-525页

作者： Hein, Dennis Bozorgpour, Afshin Merhof, Dorit Wang, Ge Department of Physics KTH Royal Institute of Technology Stockholm Sweden Karolinska University Hospital Stockholm Sweden Faculty of Informatics and Data Science University of Regensburg Regensburg Germany email: dorit.merhof@ur.de Faculty of Informatics and Data Science University of Regensburg Regensburg Germany email: Department of Biomedical Engineering School of Engineering Biomedical Imaging Center Center for Biotechnology and Interdisciplinary Studies Rensselaer Polytechnic Institute Troy New York USA email:

Physics-inspired generative models (GMs), in particular diffusion models and Poisson flow models, enhance Bayesian methods and promise great utility in medical imaging. This review examines the transformative role of such generative methods. First, a variety of physics-inspired GMs, including denoising diffusion probabilistic models, score-based diffusion models, and Poisson flow generative models (including PFGM++), are revisited, with an emphasis on their accuracy, robustness and acceleration. Then, major applications of physics-inspired GMs in medical imaging are presented, comprising image reconstruction, image generation, and image analysis. Finally, future research directions are brainstormed, including unification of physics-inspired GMs, integration with vision-language models, and potential novel applications of GMs. Since the development of generative methods has been rapid, it is hoped that this review will give peers and learners a timely snapshot of this new family of physics-driven GMs and help capitalize their enormous potential for medical imaging.

关键词： Bayesian theorem consistency model diffusion model image analysis image reconstruction image/data synthesis medical imaging PFGM++ physics-inspired generative models Poisson flow generative model

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Cytocompatible and antibacterial Fe-, Cu- and Zn-substituted calcium hydroxyapatite materials for skin applications

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Ceramics International 2025年第9期51卷 11286-11296页

作者： Lukaviciute, L. Lukowiak, A. Stankeviciute, Z. Junka, A. Mortimer, M. Zarkov, A. Yang, J.-C. Ganceviciene, R. Kareiva, A. Faculty of Chemistry and Geosciences Vilnius University Naugarduko st. 24 Vilnius03225 Lithuania Institute of Low Temperature and Structure Research Polish Academy of Sciences Okolna 2 Wroclaw50422 Poland Department of Pharmaceutical Microbiology and Parasitology Wroclaw Medical University Borowska 211A Wroclaw50556 Poland Laboratory of Environmental Toxicology National Institute of Chemical Physics and Biophysics Akadeemia tee 23 Tallinn12618 Estonia Graduate Institute of Nanomedicine and Medical Engineering International Ph.D. Program in Biomedical Engineering College of Biomedical Engineering Research Center of Biomedical Device Research Center of Digital Oral Science and Technology Taipei Medical University Taiwan Faculty of Medicine Vilnius University M.K. Ciurlionio st. 21 Vilnius03101 Lithuania

Calcium hydroxyapatite (C10(PO4)6(OH)2;CHAp) and metal-substituted samples (Fe:CHAp, Cu:CHAp, and Zn:CHAp) were synthesized using a recently developed method. This method involved the wet precipitation of amorphous calcium phosphate (ACP), followed by solid-state reaction synthesis of α-tricalcium phosphate (α-TCP), and finally hydrothermal synthesis of CHAp. The effect of Fe3+, Cu2+, and Zn2+ substitution on the phase purity and antimicrobial properties of CHAp are summarized in this study. Notably, it highlights the phase purity of CHAp and Zn:CHAp (in the presence of Fe3+ and Cu2+ ions, the α- and β-TCP phases have formed) as well as the antimicrobial activity of Zn:CHAp and Cu:CHAp against Staphylococcus aureus and Candida albicans. The synthesized nanosized CHAp, Fe:CHAp, Cu:CHAp, and Zn:CHAp samples were used as additives in the preparation of skin creams. In vitro biological studies of the resulting skin creams demonstrated their antimicrobial activity against Pseudomonas aeruginosa, and showed a reduction in osteoblasts cells viability of in the range of 20–40 %. The addition of zinc enhances antimicrobial efficacy but reduces biocompatibility, while copper maintains both high antimicrobial activity and biocompatibility, making it more suitable for the development of medical or cosmetic materials. Dermal creams containing CHAp with copper and iron ions also show significant antimicrobial activity while preserving good cell viability. These results highlight the importance of optimizing the balance between antimicrobial effectiveness and biocompatibility in these materials. © 2024

关键词： Biocompatibility

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Bright antimicrobial surfaces based on Schottky interfaces: From light illumination to bacterial charging

Smart Materials in Medicine

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Smart Materials in Medicine 2025年第1期6卷 67-94页

作者： Ahmed, Zubair Wang, Zhong Adil, Muhammed Bhatti, Ijaz Ahmad Cao, Huiliang Interfacial Electrochemistry and Biomaterials School of Materials Science and Engineering East China University of Science & Technology Shanghai200237 China Department of Chemistry University of Agriculture Faisalabad38000 Pakistan Engineering Research Center for Biomedical Materials of Ministry of Education East China University of Science and Technology Shanghai200237 China Key Laboratory for Ultrafine Materials of Ministry of Education East China University of Science & Technology Shanghai200237 China

The growing threat of resistant bacterial infections is a global concern. Therefore, it is crucial to discover new antimicrobial agents or alternative mechanisms to address this issue. This article explores the potential of smart antimicrobial surfaces based on Schottky interfaces for mitigating bacterial infections. The article proposes combining the biological features of bacterial cells with the physics of Schottky-Mott theory to describe and explain the disinfection behaviors of Schottky interfaces. The physicochemical properties and associated characterization methods of Schottky interfaces are examined to uncover their smart pathways leading to disinfection. The fabrication of antimicrobial Schottky interfaces is explored, focusing on techniques such as sputtering, evaporation, chemical deposition, and ion implantation. The advantages and challenges of each method are highlighted, along with recent research on their use to create antimicrobial surfaces over different activating procedures, ranging from light adsorption to bacterial charging and capacitive charge storage. Overall, this article provides a comprehensive overview of the knowledge and advancements in smart antimicrobial surfaces based on Schottky interfaces, emphasizing their potential in combating bacterial infections and offering insights into their properties, fabrication, and applications. The article concludes by illuminating the need for additional research to completely understand the dark behaviors of Schottky interfaces against microbes and harness their full potential in smart coating developments. © 2025 The Authors

关键词： Metallic biomaterials Semiconductor Proton-coupled electron transfer Bacteria Infection

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Disease Progression Modelling and Stratification for Detecting Sub-trajectories in the Natural History of Pathologies: Application to Parkinson’s Disease Trajectory Modelling

Disease Progression Modelling and Stratification for Detec...

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Workshop on Longitudinal Disease Tracking and Modeling with Medical Images and Data, LDTM 2024, 5th International Workshop on Multiscale Multimodal Medical Imaging, MMMI 2024, 1st Workshop on Machine Learning for Multimodal/-sensor Healthcare Data, ML4MHD2024 and Workshop on Multimodal Learning and Fusion Across Scales for Clinical Decision Support, ML-CDS 2024 held in conjunction with the 27th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024

作者： Viani, Alessandro Gutman, Boris A. d’Angremont, Emile Lorenzi, Marco Epione Research Team Inria Center of Université Côte d’Azur Sophia Antipolis France Department of Biomedical Engineering Illinois Institute of Technology Chicago United States Department of Anatomy and Neurosciences Amsterdam University Medical Center Amsterdam Netherlands

ISBN: (纸本)9783031845246

Modelling the progression of Degenerative Diseases (DD) is essential for detection, prevention, and treatment, yet it remains challenging due to the heterogeneity in disease trajectories among individuals. Factors such as demographics, genetic conditions, and lifestyle contribute to diverse phenotypical manifestations, necessitating patient stratification based on these variations. Recent methods like Subtype and Stage Inference (SuStaIn) have advanced unsupervised stratification of disease trajectories, but they face potential limitations in robustness, interpretability, and temporal granularity. To address these challenges, we introduce Disease Progression Modelling and Stratification (DP-MoSt), a novel probabilistic method that optimises clusters of continuous trajectories over a long-term disease time-axis while estimating the confidence of trajectory sub-types for each biomarker. We validate DP-MoSt using both synthetic and real-world data from the Parkinson’s Progression Markers Initiative (PPMI). Our results demonstrate that DP-MoSt effectively identifies both sub-trajectories and sub-populations, and is a promising alternative to current state-of-the-art models. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Neurodegenerative diseases

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Downregulation of STAT3 transcription factor reverses synaptotoxic phenotype of reactive astrocytes associated with prion diseases

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Acta Neuropathologica Communications 2025年第1期13卷 1-22页

作者： Kushwaha, Rajesh Molesworth, Kara Makarava, Natallia Baskakov, Ilia V. Center for Biomedical Engineering and Technology University of Maryland School of Medicine 111 S. Penn St Baltimore 21201 MD United States Department of Neurobiology University of Maryland School of Medicine Baltimore 21201 MD United States

In neurodegenerative diseases, including prion diseases, astrocytes adopt reactive phenotypes that persist throughout disease progression. While astrocyte reactivity may initially serve as a protective response to prion infection, it transitions into a neurotoxic phenotype that disrupts homeostatic functions and exacerbates disease pathology. The transcription factor Stat3 has been recognized as a master regulator of astrocyte reactivity in neurodegenerative diseases, yet its role in prion disease-associated astrocyte reactive phenotypes remains unexplored. The current study addresses this gap by investigating the effects of Stat3 deletion in reactive astrocytes isolated from prion-infected mice. We demonstrate that Stat3 deletion mitigates the reactive astrocyte phenotype and alleviates their synaptotoxic effects. Stat3-dependent activation of astrocytes was reproduced by co-culturing naïve astrocytes with reactive microglia isolated from prion-infected animals or exposing them to microglia-conditioned media. A cytokine array profiling of 40 molecules revealed partially overlapping inflammatory signatures in reactive microglia and astrocytes, with IL-6 prominently upregulated in both cell types. Notably, IL-6 treatment elevated phosphorylated Stat3 levels in naïve astrocytes and triggered astrocyte reactivity. These findings indicate that the synaptotoxic phenotype of astrocytes in prion diseases can be sustained by reactive microglia and self-reinforced in a cell-autonomous manner. Our work highlights the pivotal role of Stat3 signaling in astrocyte activation and suggests that Stat3 inhibition may suppress the reactive phenotype of astrocytes associated with prion diseases. © The Author(s) 2025.

关键词： Interleukin 6 Neuroinflammation Prion diseases Prions Reactive astrocytes Reactive microglia Stat3 transcription factor

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IoT-Enabled Reinforcement Learning for Autonomous Robotic Lawn Mowers in Residential Gardens 3

IoT-Enabled Reinforcement Learning for Autonomous Robotic La...

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3rd International Conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025

作者： Helenprabha, K. Amarnath, Raveendra N. Mohankumar, N. Gopi, B. Aishwarya, N. Murugan, S. Department of Electronics and Communication Engineering R.M.D.Engineering College Tamil Nadu Chennai India Mphasis Campbell Dr MelissaTX United States Nagpur Campus Pune India Innovation Center Department of Biomedical Engineering Sona College of Technology Tamil Nadu Salem India Tamil Nadu Salem India Department of Biomedical Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Tamil Nadu Chennai India

ISBN: (纸本)9798331527549

Traditional automated lawn mowers sometimes have difficulties in navigating complex garden designs and changing to changing conditions, which causes ineffective efficiency and limited coverage. This research introduces a new way to improve the efficiency and autonomy of robotic lawn mowers in residential settings by combining Reinforcement Learning (RL) algorithms with Internet of Things (IoT) technologies. To help the robotic mower respond appropriately to environmental signals it presents a system that uses IoT sensors to collect data on topography, weather, and vegetation in real-time. It uses RL methods to make the mower better at mowing and navigating over time. With the autonomous mower attaining more accuracy in grass cutting while reducing energy consumption and operating expenses, our trial findings show considerable increases in coverage and efficiency compared to traditional techniques. Building on previous work in smart gardening technology to the body of understanding on IoT enabled autonomous systems for home use. The research addresses inefficient lawn management through the integration of IoT and RL, resulting in adaptive, accurate, and dependable robotic mowing for enhanced energy efficiency and coverage. © 2025 IEEE.

关键词： Reinforcement learning

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Radiolabeling lipoproteins to study and manage disease

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European Journal of Nuclear Medicine and Molecular Imaging 2025年 1-18页

作者： Pérez-Medina, Carlos Fisher, Edward A. Fayad, Zahi A. Mulder, Willem J. M. Teunissen, Abraham J. P. Madrid Spain New York University Grossman School of Medicine New YorkNY United States Biomedical Engineering and Imaging Institute Icahn School of Medicine at Mount Sinai New YorkNY United States Department of Biomedical Engineering Eindhoven University of Technology Eindhoven Netherlands Department of Internal Medicine and Radboud Center for Infectious Diseases Radboud University Medical Center Nijmegen Netherlands Icahn School of Medicine at Mount Sinai Cardiovascular Research Institute New YorkNY United States Icahn Genomics Institute Icahn School of Medicine at Mount Sinai New YorkNY United States

Purpose: Lipoproteins are endogenous nanoparticles with essential roles in lipid transport and inflammation. Lipoproteins are also valuable in diagnosing and treating disease. For instance, certain lipoproteins are overexpressed in patients with atherosclerotic cardiovascular disease, and reconstituted lipoproteins have been extensively used for drug delivery. Radiolabeling has proven an especially powerful approach for studying and therapeutically exploiting lipoproteins. This review details how radiochemistry and nuclear imaging can facilitate the study of lipoproteins in health and disease. Among other topics, we discuss approaches for radiolabeling lipoproteins and detail how these have helped advance our understanding of lipoprotein biology and the diagnosis and treatment of diseases, including atherosclerosis, cancer, and hypercholesteremia. Methods: We performed an extensive literature search on all peer-reviewed studies involving radiolabeled lipoproteins and selected representative examples to provide a high-level overview of the most important discoveries and technological advancements. Results: More than 200 peer-reviewed papers involved radiolabeled lipoproteins, spanning mechanistic, diagnostic, and therapeutic studies across a wide range of diseases. Conclusion: Radiolabeling has been critical in advancing our understanding of lipoprotein biology and leveraging these nanomaterials for diagnosing and treating disease. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025.

关键词： Positron emission tomography

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