检索结果-内蒙古大学图书馆

Magnetically separable silica-chitosan hybrids for efficient phosphate adsorption in aqueous solution

Case Studies in Chemical and Environmental Engineering 2025年 11卷

作者： Nuryono, Nuryono Sukamto, Sukamto Kunarti, Eko Sri Krisbiantoro, Philip Anggo Wan Abdullah, Wan Nazwanie Kamiya, Yuichi Department of Chemistry Faculty of Mathematics and Natural Sciences Universitas Gadjah Mada Bulaksumur Yogyakarta 55281 Indonesia of Life Science Hokkaido University Kita 10 Nishi 8 Kita-ku Sapporo 060-0810 Japan International Graduate Program of Molecular Science and Technology National Taiwan University No. 1 Sec. 4 Roosevelt Road Taipei 10617 Taiwan Molecular Science and Technology Program Taiwan International Graduate Program Academia Sinica Taipei 11529 Taiwan Department of Chemical Engineering College of Engineering National Taiwan University Taipei 10617 Taiwan School of Chemical Science Universiti Sains Malaysia Gelugor Penang 11800 Malaysia Faculty of Environmental Earth Science Hokkaido University Nishi 5 Kita 10 Kita-ku Sapporo 060-0810 Japan

In the present study, magnetic silica-chitosan hybrid (NMP@SiO2/CPTMS/Chi) was synthesized via a convenient and green sol-gel technique under room temperature, and the material was used as a highly efficient magnetic ... 详细信息

In the present study, magnetic silica-chitosan hybrid (NMP@SiO₂/CPTMS/Chi) was synthesized via a convenient and green sol-gel technique under room temperature, and the material was used as a highly efficient magnetic adsorbent for the removal of phosphate ions in water. While the magnetic properties of NMP from iron enable the material to be quickly separated via magnetic separation, the abundant active sites from the chitosan made the hybrid exhibit high adsorption capacity for phosphate ions. At pH 6, the removal of phosphate ions followed the pseudo-second-order (PSO) kinetic model with the adsorption rate constant (k₂) of 5.9 × 10^-3 mg g⁻¹ min⁻¹ and obeyed the Langmuir isotherm model with a maximum adsorption capacity (q_max) of 15.06 mg g⁻¹, outperforming most of the previously reported adsorbents. Stability tests and derivative thermogravimetry (DTG) analysis demonstrated that NMP@SiO₂/CPTMS/Chi remained stable even under strongly acidic conditions and possessed high thermal stability, respectively. The synergistic combination of high adsorption capacity, acid stability, thermal stability, and facile magnetic separation renders NMP@SiO₂/CPTMS/Chi a promising adsorbent for wastewater treatment and environmental remediation. Overall, this innovative material represents a significant advancement in phosphate removal, offering a sustainable and effective solution to address the global challenge of water pollution and protect aquatic ecosystems. © 2025 The Authors

关键词： Adsorption Chitosan Magnetic material Phosphate Silica Sol-gel

来源：评论

学校读者我要写书评

暂无评论

The physicochemical properties of liquid biofuel derived from the pyrolysis of low-quality rubber waste

引用

Case Studies in Chemical and Environmental Engineering 2025年 11卷

作者： Moonsin, Preecha Roschat, Wuttichai Phewphong, Sunti Watthanalao, Sittichai Maneerat, Bunterm Arthan, Supakorn Thammayod, Aekkaphon Leelatam, Tappagorn Yoosuk, Boonyawan Janetaisong, Pathompong Promarak, Vinich Program of Chemistry Faculty of Science Ubon Ratchathani Rajabhat University Mueang District Ubon Ratchathani 34000 Thailand Biomass Energy Research Laboratory Center of Excellence on Alternative Energy Research and Development Institution Sakon Nakhon Rajabhat University Mueang District Sakon Nakhon 47000 Thailand Program of Chemistry Faculty of Science and Technology Sakon Nakhon Rajabhat University Mueang District Sakon Nakhon 47000 Thailand Innovation in Chemistry for Community Research Unit Faculty of Science and Technology Sakon Nakhon Rajabhat University Mueang District Sakon Nakhon 47000 Thailand Appropriated Technology Center Faculty of Science and Technology Sakon Nakhon Rajabhat University Mueang District Sakon Nakhon 47000 Thailand National Energy Technology Center (ENTEC) 114 Thailand Science Park Phahonyothin Road Klong Luang Pathumthani 12120 Thailand Department of Material Science and Engineering School of Molecular Science & Engineering Vidyasirimedhi Institute of Science and Technology Wangchan Rayong 21210 Thailand

This research explores the potential of low-quality rubber waste as a feedstock for liquid biofuel production via pyrolysis, achieving a conversion rate of 65–70 %. The study presents a comprehensive analysis of waste rubber pyrolysis oil (WRPO) using FT-IR, ¹H and ¹³C NMR, and GC-MS techniques to identify its chemical composition and fuel properties. FT-IR analysis reveals a complex mixture of saturated and unsaturated hydrocarbons, aromatic rings, and oxygenated compounds, while NMR analysis confirms the diverse chemical structure of WRPO. GC-MS identifies key compounds, including D-Limonene, Dimethyl phthalate, Methyl hexadecanoate, and Oleic acid methyl ester, with 18.49 % saturated hydrocarbons and 81.51 % unsaturated hydrocarbons. The TGA results show that WRPO exhibits evaporation and thermal decomposition characteristics similar to B10 diesel, with evaporation beginning below 40 °C and complete decomposition at 300 °C, highlighting its potential as an efficient and environmentally friendly biofuel. Fuel property testing reveals WRPO has a kinematic viscosity of 1.47 cSt, a density of 785 kg/m³, and favorable low pour and cloud points (<−5 °C), making it suitable for cold climates. However, WRPO has a lower heating value of 9675 kcal/kg compared to B10 diesel (11083 kcal/kg) and a high acid number of 4.24 mg KOH/g, which may lead to oxidation and corrosion. In conclusion, WRPO shows considerable promise as a biofuel but would benefit from blending with higher-energy fuels, such as B10 diesel, palm oil biodiesel, or waste cooking oil biodiesel, to improve its stability, combustion efficiency, and heating value. This blending strategy enhances WRPO's potential for sustainable biofuel production and engine use. © 2024 The Authors

关键词： Biomass energy Liquid biofuel Low-quality rubber waste Physicochemical properties Pyrolysis

来源：评论

学校读者我要写书评

暂无评论

Matrix-Free Quantum Dot-Deposited Films with Perfect Color Conversion for Automotive Taillights

引用

Advanced Materials Technologies 2025年

作者： Ahn, Hyerim Oh, Jong-Min Shin, Weon Ho Kim, Sang-Wook Kim, Sunghoon Center for Brain Busan 21 Plus Program Department of Applied Chemistry Dong-Eui University Busan47227 Korea Republic of Department of Electronic Materials Engineering Kwangwoon University Seoul01897 Korea Republic of Department of Molecular Science and Technology Ajou University Suwon16499 Korea Republic of

Automotive taillights play crucial roles in providing essential signals about vehicle status, representing brand design identity, and contributing to aesthetic appeal. In this study, a host matrix-free quantum dot (QD)-deposited films for automotive taillight applications is developed using the aerosol-assisted deposition (AAD) method. Direct deposition of thin high-density red-emitting QD (RQD) layers (≈4.3 µm thick) onto blue mini-light-emitting diodes (LEDs) (mini-BLEDs) as light sources resulted in complete wavelength conversion with no blue light leakage. This approach addresses the limitations of conventional inorganic-phosphor-based LEDs by achieving high color purity, uniform surface emission, and enhanced luminous efficiency. RQD-deposited films embedded with spherical silica particles as scattering agents demonstrated a luminous efficiency of 32.9 lm W⁻¹. The AAD method enabled large-area patterned deposition with exceptional uniformity, as confirmed by color coordinate variations of less than 0.003 across a 10 cm × 10 cm film. A fabricated taillight prototype exhibited vivid red emission and high visibility. These findings demonstrate the potential of the QD-BLED technology as a next-generation lighting solution for automotive applications, offering a balance between technical performance and design flexibility. © 2025 Wiley-VCH GmbH.

关键词： Luminescent devices

来源：评论

学校读者我要写书评

暂无评论

Association of long-term ozone exposure with the incidence and progression of hypertension, diabetes, and chronic kidney disease: A national retrospective cohort study

引用

science of the Total Environment 2025年 975卷 179209页

作者： Li, Yu-Ling Chang, Po-Ya Chuang, Ting-Wu Hsieh, Yi-Chen Wang, Bo-Sian Chen, Szu-Ying Chiou, Hung-Yi Institute of Population Health Sciences National Health Research Institutes Miaoli County Zhunan Taiwan Department of Leisure Industry and Health Promotion National Taipei University of Nursing and Health Sciences Taipei Taiwan Department of Molecular Parasitology and Tropical Diseases School of Medicine College of Medicine Taipei Medical University Taipei Taiwan Ph.D. Program in Medical Neuroscience College of Medical Science and Technology Taipei Medical University Taipei Taiwan Master Program in Applied Epidemiology College of Public Health Taipei Medical University Taipei Taiwan

Evidence suggests that ozone is associated with an increased risk of hypertension, diabetes, or chronic kidney disease (CKD). However, the associations of ozone exposure with the dynamic progression of these diseases among Asian population remain unknown. This study included 9,256,945 participants from Taiwan's National Health Insurance Research Database between 2006 and 2021. Multimorbidity was defined as the coexistence of CKD and either hypertension or diabetes. The ordinary kriging method was used to estimate daily concentrations of ozone, sulfur dioxide, carbon monoxide, nitrogen dioxide, suspended fine particles, and suspended particles. Then, five-year average concentrations of pollutants were calculated. We performed multi-state survival models to analyze the association between ozone and dynamic progression of these diseases. During follow-up, 3,555,498 participants experienced hypertension, diabetes, or CKD;656,515 experienced multimorbidity;and 792,555 died. Ozone exposure was significantly associated with incidence of the results in all transitions. The hazard ratios of each IQR (3.57 ppb) increment in ozone for the transition to incident disease were 1.016 [95 % confidence interval (CI): 1.014, 1.017], for the transition to death were 1.04 [95 % CI: 1.036, 1.043], for the transition to multimorbidity were 1.015 [95 % CI: 1.012, 1.017]. Furthermore, with each IQR increase of ozone, the hazard ratios for transition from the disease incidence to death and from multimorbidity to death were 1.03 [95 % CI: 1.026, 1.033] and 1.007 [95 % CI: 1.002, 1.013], respectively. Our results suggest long-term exposure to ozone might be an important determinant for the incidence and dynamic progression of hypertension, diabetes, and CKD in Taiwan. © 2025 Elsevier B.V.

关键词： Health insurance

来源：评论

学校读者我要写书评

暂无评论

Biomedical data and AI

引用

science China Life sciences 2025年第5期68卷 1536-1540页

作者： Hao Xu Shibo Zhou Zefeng Zhu Vincenzo Vitelli Liangyi Chen Ziwei Dai Ning Yang Luhua Lai Shengyong Yang Sergey Ovchinnikov Zhuoran Qiao Sirui Liu Chen Song Jianfeng Pei Han Wen Jianfeng Feng Yaoyao Zhang Zhengwei Xie Yang-Yu Liu Zhiyuan Li Fulai Jin Hao Li Mohammad Lotfollahi Xuegong Zhang Ge Yang Shihua Zhang Ge Gao Pulin Li Qi Liu Jing-Dong Jackie Han Peking-Tsinghua Center for Life Sciences (CLS) Academy for Advanced Interdisciplinary StudiesPeking University Center for Quantitative Biology (CQB) Academy for Advanced Interdisciplinary StudiesPeking University Peking University-Tsinghua University-National Institute of Biological Sciences Joint Graduate Program Academy for Advanced Interdisciplinary StudiesPeking University Department of Physics University of Chicago School of Life Sciences Southern University of Science and Technology Peking University Chengdu Academy for Advanced Interdisciplinary Biotechnologies College of Chemistry and Molecular Engineering Peking University Department of Biotherapy Cancer Center and State Key Laboratory of BiotherapyWest China HospitalSichuan University Department of Biology Massachusetts Institute of Technology Lambic Therapeutics Inc. Changping Laboratory Al for Science Institute Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence Fudan University Department of Obstetrics and Gynecology West China Second University HospitalSichuan University Peking University International Cancer Institute and Peking University-Yunnan Baiyao International Medical Institute and State Key Laboratory of Natural and Biomimetic Drugs Department of Molecular and Cellular PharmacologySchool of Pharmaceutical SciencesPeking University Health Science CenterPeking University Channing Division of Network Medicine Department of MedicineBrigham and Women's Hospital and Harvard Medical School Center for Artificial Intelligence and Modeling the Carl R.Woese Institute for Genomic BiologyUniversity of Illinois Urbana-Champaign Department of Genetics and Genome Sciences School of Medicine and Department of Computer and Data Sciences and Department of Population and Quantitative Health SciencesCase Western Reserve University Department of Biochemistry and Biophysics University of California Sanger Institute Department of Automation Tsinghua University State Key Laboratory of Multimodal Artificial Intelligence Systems I

The development of artificial intelligence(AI) and the mining of biomedical data complement each other. From the direct use of computer vision results to analyze medical images for disease screening, to now integrating biological knowledge into models and even accelerating the development of new AI based on biological discoveries, the boundaries of both are constantly expanding, and their connections are becoming closer.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Endometrial tumorigenesis involves epigenetic plasticity demarcating non-coding somatic mutations and 3D-genome alterations

引用

Genome Biology 2025年第1期26卷 1-31页

作者： Gregoricchio, Sebastian Kojic, Aleksandar Hoogstraat, Marlous Schuurman, Karianne Stelloo, Suzan Severson, Tesa M. O’Mara, Tracy A. Droog, Marjolein Singh, Abhishek A. Glubb, Dylan M. Wessels, Lodewyk F. A. Vermeulen, Michiel van Leeuwen, Flora E. Zwart, Wilbert Division of Oncogenomics Oncode Institute The Netherlands Cancer Institute Plesmanlaan 121 1066 CX Amsterdam Netherlands Division of Molecular Carcinogenesis Oncode Institute The Netherlands Cancer Institute Plesmanlaan 121 1066 CX Amsterdam Netherlands Department of Molecular Biology Faculty of Science Radboud Institute for Molecular Life Sciences Oncode Institute Radboud University Nijmegen Geert Grooteplein Zuid 28 Nijmegen 6525GA Netherlands Cancer Research Program QIMR Berghofer Medical Research Institute Locked Bag 2000 Brisbane 4029 QLD Australia Division of Molecular Genetics Oncode Institute The Netherlands Cancer Institute Plesmanlaan 121 1066 CX Amsterdam Netherlands Department of Epidemiology The Netherlands Cancer Institute Plesmanlaan 121 1066 CX Amsterdam Netherlands Laboratory of Chemical Biology and Institute for Complex Molecular Systems Department of Biomedical Engineering Eindhoven University of Technology P.O. Box 513 Eindhoven 5600 MB Netherlands

Background: The incidence and mortality of endometrial cancer (EC) is on the rise. Eighty-five percent of ECs depend on estrogen receptor alpha (ERα) for proliferation, but little is known about its transcriptional regulation in these tumors. Results: We generate epigenomics, transcriptomics, and Hi-C datastreams in healthy and tumor endometrial tissues, identifying robust ERα reprogramming and profound alterations in 3D genome organization that lead to a gain of tumor-specific enhancer activity during EC development. Integration with endometrial cancer risk single-nucleotide polymorphisms and whole-genome sequencing data from primary tumors and metastatic samples reveals a striking enrichment of risk variants and non-coding somatic mutations at tumor-enriched ERα sites. Through machine learning-based predictions and interaction proteomics analyses, we identify an enhancer mutation which alters 3D genome conformation, impairing recruitment of the transcriptional repressor EHMT2/G9a/KMT1C, thereby alleviating transcriptional repression of ESR1 in EC. Conclusions: In summary, we identify a complex genomic-epigenomic interplay in EC development and progression, altering 3D genome organization to enhance expression of the critical driver ERα. © The Author(s) 2025.

关键词： 3D genome organization Endometrial cancer Epigenetic plasticity in tumor development Estrogen receptor Gene regulation Non-coding somatic mutations

来源：评论

学校读者我要写书评

暂无评论

A Deep Learning Approach for Nerve Injury Classification in Brachial Plexopathies Using Magnetic Resonance Neurography with Modified Hiking Optimization Algorithm

引用

Academic Radiology 2025年

作者： Dahou, Abdelghani Elaziz, Mohamed Abd Khattap, Mohamed G. Hassan, Hend Galal Eldeen Mohamed Ali School of Computer Science and Technology Zhejiang Normal University Jinhua 321004 China Mathematics and Computer Science department University of Ahmed DRAIA Adrar 01000 Algeria Department of Mathematics Faculty of Science Zagazig University Zagazig 44519 Egypt Faculty of Computer Science and Engineering Galala University Suez 435611 Egypt Artificial Intelligence Research Center (AIRC) Ajman University Ajman 346 United Arab Emirates Department of Diagnostic Interventional Radiology and Molecular Imaging Faculty of Medicine Ain Shams University Cairo 11591 Egypt Technology of Radiology and Medical Imaging Program Faculty of Applied Health Sciences Technology Galala University Suez 435611 Egypt

Rationale and Objectives: Brachial plexopathies (BPs) encompass a complex spectrum of nerve injuries affecting motor and sensory function in the upper extremities. Diagnosis is challenging due to the intricate anatomy and symptom overlap with other neuropathies. Magnetic Resonance Neurography (MRN) provides advanced imaging but requires specialized interpretation. This study proposes an AI-based framework that combines deep learning (DL) with the modified Hiking Optimization Algorithm (MHOA) enhanced by a Comprehensive Learning (CL) technique to improve the classification of nerve injuries (neuropraxia, axonotmesis, neurotmesis) using MRN data. Materials and Methods: The framework utilizes MobileNetV4 for feature extraction and MHOA for optimized feature selection across different MRI sequences (STIR, T2, T1, and DWI). A dataset of 39 patients diagnosed with BP was used. The framework classifies injuries based on Seddon's criteria, distinguishing between normal and abnormal conditions as well as injury severity. Results: The model achieved excellent performance, with 1.0000 accuracy in distinguishing normal from abnormal conditions using STIR and T2 sequences. For injury severity classification, accuracy was 0.9820 in STIR, outperforming the original HOA and other metaheuristic algorithms. Additionally, high classification accuracy (0.9667) was observed in DWI. The proposed framework outperformed traditional methods and demonstrated high sensitivity and specificity. Conclusion: The proposed AI-based framework significantly improves the diagnosis of BP by accurately classifying nerve injury types. By integrating DL and optimization techniques, it reduces diagnostic variability, making it a valuable tool for clinical settings with limited specialized neuroimaging expertise. This framework has the potential to enhance clinical decision-making and optimize patient outcomes through precise and timely diagnoses. © 2025 The Association of University Radiologists

关键词： Brachial Plexopathy (BP) Comprehensive Learning (CL) Deep Learning (DL) Feature Selection (FS) Hiking Optimization Algorithm (HOA) Magnetic Resonance Neurography (MRN) MobileNetV4

来源：评论

学校读者我要写书评

暂无评论

Human induced pluripotent stem cell derived nanovesicles for cardiomyocyte protection and proliferation

引用

Bioactive Materials 2025年 50卷 585-602页

作者： Wei, Yuhua Geng, Xiaoxiao You, Qing Zhang, Yu Cao, Fangfang Narayanan, Gunaseelan Nguyen, Thanh Chen, Xiaoyuan Zhang, Jianyi Ye, Lei Department of Diagnostic Radiology Yong Loo Lin School of Medicine National University of Singapore 1190742 United States Department of Chemical and Biomolecular Engineering College of Design and Engineering National University of Singapore 1175753 Singapore Department of Biomedical Engineering College of Design and Engineering National University of Singapore 1175754 Singapore Department of Pharmacy and Pharmaceutical Sciences Faculty of Science National University of Singapore 1175445 Singapore Clinical Imaging Research Centre Centre for Translational Medicine Yong Loo Lin School of Medicine National University of Singapore 1175996 Singapore Nanomedicine Translational Research Program Yong Loo Lin School of Medicine National University of Singapore 1175977 Singapore Theranostics Center of Excellence (TCE) Yong Loo Lin School of Medicine National University of Singapore 1386678 Singapore Institute of Molecular and Cell Biology Agency for Science Technology and Research (A∗STAR) 138673 United States

It remains a significant challenge to reactivate the cell cycle activity of adult mammalian cardiomyocytes (CMs). This study created a hypo-immunogenic human induced pluripotent stem cell (hiPSC) line using clustered regularly interspaced palindromic repeats (CRISPR)/Cas9 gene editing to knockout β2-microglobulin in hiPSCs (^B2MKOhiPSCs) for manufacturing nanovesicles (^B2MKOhiPSC-NVs). Approximately 9500 ^B2MKOhiPSC-NVs were produced from a single ^B2MKOhiPSC. Proteomic analyses indicated that, compared to ^B2MKOhiPSCs, the cargos of ^B2MKOhiPSC-NVs were enriched in spindle and chromosomal proteins, as well as proteins that regulate the cell cycle and scavenge reactive oxygen species (ROS). When administrated to hiPSCs derived CMs (hiPSC-CMs), ^B2MKOhiPSC-NVs reduced lactate dehydrogenase leakage and apoptosis in hypoxia-cultured hiPSC-CMs through activating the AKT pathway, protected hiPSC-CMs from H₂O₂-induced damage by ROS scavengers in the NV cargo, increased hiPSC-CM proliferation via the YAP pathway, and were hypoimmunogenic when co-cultured with human CD8⁺ T cells or delivered to mice. Furthermore, when ^B2MKOhiPSC-NVs or 0.9 % NaCl were intramyocardially injected into mice after cardiac ischemia/reperfusion injury, cardiac function and infarct size, assessed 4 weeks later, were significantly improved in the ^B2MKOhiPSC-NV group, with increased mouse CM survival and cell cycle activity. Thus, the proteins in the ^B2MKOhiPSC-NV cargos convergently activated the AKT pathway, scavenged ROS to protect CMs, and upregulated YAP signaling to induce CM cell cycle activity. Thus, ^B2MKOhiPSC-NVs hold great potential for cardiac protection and regeneration. © 2025 The Authors

关键词： Cell cycle Myocardial protection Nanovesicles Pluripotent stem cells Regeneration

来源：评论

学校读者我要写书评

暂无评论

Conditional Generative Modeling for Amorphous Multi-Element Materials

arXiv

引用

arXiv 2025年

作者： Li, Honglin Liu, Chuhao Guo, Yongfeng Luo, Xiaoshan Chen, Yijie Liu, Guangsheng Li, Yu Wang, Ruoyu Wang, Zhenyu Wu, Jianzhuo Ma, Cheng Xie, Zhuohang Lv, Jian Ding, Yufei Zhang, Huabin Luo, Jian Zhong, Zhicheng Li, Mufan Wang, Yanchao Li, Wan-Lu Key Laboratory of Material Simulation Methods and Software Ministry of Education College of Physics Jilin University Changchun China Aiiso Yufeng Li Family Department of Chemical and Nano Engineering University of California La Jolla San DiegoCA United States Institute of Molecular Engineering Plus College of Chemistry Fuzhou University Fuzhou China College of Chemistry and Molecular Engineering Peking University Beijing China School of Physics Nankai University Tianjin China Institute of Modern Physics Fudan University Shanghai China Program in Materials Science and Engineering University of California La Jolla San DiegoCA United States School of Artificial Intelligence and Data Science University of Science and Technology of China Hefei230026 China Suzhou Institute for Advanced Research University of Science and Technology of China Suzhou215123 China International Center of Future Science Jilin University Changchun China Department of Computer Science and Engineering University of California La Jolla San DiegoCA United States Center for Renewable Energy and Storage Technologies Physical Science and Engineering Division King Abdullah University of Science and Technology Thuwal Saudi Arabia Suzhou Lab Suzhou215123 China

Amorphous multi-element materials offer unprecedented tunability in composition and properties, yet their rational design remains challenging due to the lack of predictive structure-property relationships and the vast configurational space. Traditional modeling struggles to capture the intricate short-range order that dictates their stability and functionality. We here introduce ApolloX, a pioneering predictive framework for amorphous multi-element materials, establishing a new paradigm by integrating physics-informed generative modeling with particle swarm optimization, using chemical short-range order as an explicit constraint. By systematically navigating the disordered energy landscape, ApolloX enables the targeted design of thermodynamically stable amorphous configurations. It accurately predicts atomic-scale arrangements, including composition-driven metal clustering and amorphization trends, which are well-validated by experiments, while also guiding synthesis by leveraging sluggish diffusion to control elemental distribution and disorder. The resulting structural evolution, governed by composition, directly impacts catalytic performance, leading to improved activity and stability with increasing amorphization. This predictive-experimental synergy transforms the discovery of amorphous materials, unlocking new frontiers in catalysis, energy storage, and functional disordered systems. Copyright © 2025, The Authors. All rights reserved.

关键词： Amorphization

来源：评论

学校读者我要写书评

暂无评论

BPS2025 - Elucidating the nanoscale clustering profiles of chimeric antigen receptors

引用

Biophysical Journal 2025年第3期124卷 105a-105a页

作者： Robert J. Pyron Sarah Binion Sarah A. Shelby Genome Science and Technology Program University of Tennessee Knoxville TN USA Department of Biochemistry and Cellular and Molecular Biology University of Tennessee Knoxville TN USA

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：