jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Xuesong Wang | Ke Li | Qing Han | Xixingchi Chen | Jiakang Hu | Yunlong Wang | Hui Huang | Yongxin Li
Source: Talanta (review, 2025-07-01)
Field: Materials Science — Materials Chemistry

Development of laccase-like nanozymes and the analytical applications in conjunction with emerging sensing technologies Laccase-like nanozymes, as a significant category of nanozymes, have garnered considerable research attention. Studies primarily focused on the exploration of new nanozymes with laccase-like activity. However, in recent years, the diversity of small-molecule ligands (biological and abiotic) and the rapid advancement of pollutant sensing technologies have contributed to the growing interest in integrating laccase-like nanozymes into various novel analytical applications. This review summarized the laccase-like nanozymes prepared from copper and small-molecule ligands, especially the abiotic ligands over the last three years for the first time. The review further highlights novel intelligent analytical methods based on nanozymes in conjunction with emerging sensing technologies, such as machine learning-assisted sensor arrays, logic gates and time-temperature indicators. We propose possible future directions for the development of laccase-like nanozymes in the hope of deepening the understanding of laccase-like nanozymes by researchers in the fields of food safety, environmental management, etc., and enhancing the application potential of laccase-like nanozymes. Laccase ; Chemistry ; Nanotechnology ; Biochemical engineering Advanced Nanomaterials in Catalysis ; Nanocluster Synthesis and Applications ; Electrochemical sensors and biosensors
Authors: Suisui He | Jiaheng Zhang | Junlin He | Zhonghui Luo | Wen Chen | Huimin Tang | Jiaqi Long | Jun Wang | Hua Wei | Cui‐Yun Yu
Source: Journal of Cleaner Production (article, 2025-07-01)
Field: Chemistry — Inorganic Chemistry

A machine learning-assisted electrochemical nanosensor based on bimetal-codoped MOF composites for simultaneous detection and removal of multiple fluoroquinolone antibiotics Bimetal ; Nanosensor ; Materials science ; Antibiotics ; Electrochemistry ; Nanoparticle ; Nanotechnology ; Composite material ; Electrode ; Chemistry Metal-Organic Frameworks: Synthesis and Applications ; Advanced biosensing and bioanalysis techniques ; Luminescence and Fluorescent Materials
Authors: M. Saravana Kumar | Che‐Hua Yang | M. Vignesh | Francis O. Edoziuno | Valentin Romanovski | Bashir Salah
Source: Polymer Composites (article, 2025-04-04)
Field: Materials Science — Polymers and Plastics

Optimizing the filler distribution to enhance the interlaminar shear strength and impact resistance of fiber reinforced epoxy composites Abstract In recent years, there has been a lot of interest in the use of natural fibers as reinforcements and ceramic particles as fillers in polymer composites. However, unoptimized process parameters frequently result in flaws such as cavity development, non‐homogeneous distribution, poor wettability, and particle agglomeration. By optimizing the filler %, stirring duration, and number of fiber layers, this study seeks to improve the homogeneous distribution of fillers in the matrix and fiber reinforcement. This was accomplished by employing a L 27 orthogonal array to disperse silicon carbide (SiC) fillers in bamboo fiber‐reinforced epoxy composites. The process parameters included varying the SiC filler percentage (5%, 11%, and 17%), stirring duration (5, 10, and 15 min), and bamboo fiber layers (2, 3, and 4). In order to identify the ideal parameter settings and compare experimental results with predictions, the utility analysis, in conjunction with an artificial neural network, was utilized to analyze the response parameters, including porosity, inter laminar shear stress (ILSS), and impact strength. According to the results, using 11% SiC, stirring for 10 min, and adding four layers of bamboo fiber increases the impact strength by 62.3% and the interlaminar shear strength by 60.9% while lowering the porosity to 1.19%. These findings emphasize how crucial it is to precisely manage processing parameters in order to optimize filler distribution and produce high‐performance composites with improved mechanical characteristics and few flaws. Highlights A drastic change in the ILSS from 12 to 18 MPa was witnessed. Porosity was dramatically decreased by 2.5% after 10 min of swirling. Elongated fibers were observed in the interaction region. Four layers of bamboo fibers increase the impact strength by 62.3%. ILSS improved by 60.9% while lowering the porosity to 1.19%. Materials science ; Composite material ; Epoxy ; Impact resistance ; Filler (materials) ; Shear (geology) ; Shear strength (soil) ; Izod impact strength test ; Ultimate tensile strength Natural Fiber Reinforced Composites ; Mechanical Behavior of Composites ; Structural Behavior of Reinforced Concrete
Authors: Jelena Vesković | Antonije Onjia
Source: Talanta Open (article, 2025-10-04)
Field: Chemistry — Electrochemistry

Analytical techniques and source apportionment for heavy metal(loid)s in groundwater: A comprehensive review • Assesses analytical methodology for trace heavy metal(loid)s (HMs) in groundwater • Advances in hyphenated techniques and portable sensors enable on-site HM detection • Instrumental GC- and LC-ICP-MS parameters for Cr, As, Sb, Se, Hg, and Sn speciation • Employs multivariate and isotopic techniques to apportion HM contamination sources • Identifies knowledge gaps and guides future research to improve groundwater safety Groundwater contamination by heavy metal(loid)(HM) is a pervasive global issue threatening drinking water quality and public health. Effective mitigation requires robust analytical methodologies and predictive modeling frameworks. This review critically assesses cutting-edge instrumental techniques and source apportionment methods for detecting and understanding HM pollution in groundwater. Advanced laboratory techniques, exemplified by inductively coupled plasma mass spectrometry (ICP-MS), now achieve extraordinary sensitivity with detection limits in the sub-μg/L range and exhibit high precision (relative standard deviations between 2-3%). Furthermore, hyphenated chromatography-spectrometry techniques, such as ion chromatography coupled to ICP-MS, facilitate detailed chemical speciation, effectively resolving redox-sensitive pairs such as Cr(III)/Cr(VI) and As(III)/As(V) at environmental concentrations (1-50 µg/L). Meanwhile, emerging electrochemical portable sensors enable on-site, real-time monitoring of groundwater quality. For source apportionment, multivariate statistical methods (including receptor models), isotopic fingerprinting, and machine learning algorithms have been increasingly integrated to disentangle complex mixtures of natural versus anthropogenic metal sources. By combining improved detection limits, enhanced speciation insights, and powerful data analytics and modeling tools, modern approaches support groundwater monitoring and pollution source tracking. Nevertheless, challenges such as matrix interferences, instability of metal species during sampling, and overlapping source signatures continue to complicate analysis, underscoring the need for integrated approaches that merge analytical innovation with data-driven tools to refine source attribution and ultimately ensure groundwater safety. Critical knowledge gaps are identified, including the need for more consistent monitoring approaches, closer integration of new analytical tools with field practice, and stronger policies to make sure scientific progress actually leads to better groundwater protection. Groundwater ; Apportionment ; Groundwater pollution ; Environmental monitoring ; Pollution ; Contamination ; Water quality Electrochemical Analysis and Applications ; Geochemistry and Geologic Mapping ; Heavy metals in environment
Authors: Tong Xu | Chenlong Wang | Yanfei Lv | Bin Zhu | Xiaomin Zhang
Source: Nanomaterials (review, 2025-04-30)
Field: Materials Science — Materials Chemistry

Catalytic Oxidative Removal of Volatile Organic Compounds (VOCs) by Perovskite Catalysts: A Review Volatile organic compound (VOC) emissions have become a critical environmental concern due to their contributions to photochemical smog formation, secondary organic aerosol generation, and adverse human health impacts in the context of accelerated industrialization and urbanization. Catalytic oxidation over perovskite-type catalysts is an attractive technological approach for efficient VOC abatement. This review systematically evaluates the advancements in perovskite-based catalysts for VOC oxidation, focusing on their crystal structure-activity relationships, electronic properties, synthetic methodologies, and nanostructure engineering. Emphasis is placed on metal ion doping strategies and supported catalyst configurations, which have been demonstrated to optimize catalytic performance through synergistic effects. The applications of perovskite catalysts in diverse oxidation systems, including photocatalysis, thermal catalysis, electrocatalysis, and plasma-assisted catalysis, are comprehensively discussed with critical analysis of their respective advantages and limitations. It summarizes the existing challenges, such as catalyst deactivation caused by carbon deposition, sulfur/chlorine poisoning, and thermal sintering, as well as issues like low energy utilization efficiency and the generation of secondary pollutants. By consolidating current knowledge and highlighting future research directions, this review provides a solid foundation for the rational design of next-generation perovskite catalysts for sustainable VOC management. Catalysis ; Perovskite (structure) ; Materials science ; Context (archaeology) ; Nanotechnology ; Waste management ; Chemical engineering ; Chemistry ; Organic chemistry Catalytic Processes in Materials Science ; Gas Sensing Nanomaterials and Sensors ; Advanced Photocatalysis Techniques
Authors: Ludi Wang | Xueqing Chen | Yi Du | Yuanchun Zhou | Yang Gao | Wenjuan Cui
Source: International Journal of Machine Learning and Cybernetics (article, 2025-01-15)
Field: Materials Science — Materials Chemistry

CataLM: empowering catalyst design through large language models The field of catalysis holds paramount importance in shaping the trajectory of sustainable development, prompting intensive research efforts to leverage artificial intelligence (AI) in catalyst design. Presently, the fine-tuning of open-source large language models (LLMs) has yielded significant breakthroughs across various domains such as biology and healthcare. Drawing inspiration from these advancements, we introduce CataLM (Catalytic Language Model), a large language model tailored to the domain of electrocatalytic materials. Our findings demonstrate that CataLM exhibits remarkable potential for facilitating human-AI collaboration in catalyst knowledge exploration and design. To the best of our knowledge, CataLM stands as the pioneering LLM dedicated to the catalyst domain, offering novel avenues for catalyst discovery and development. Computational intelligence ; Computer science ; Catalysis ; Artificial intelligence ; Chemistry Machine Learning in Materials Science ; Topic Modeling ; Electrocatalysts for Energy Conversion
Authors: Sabina Vohl | Irena Ban | Janja Stergar | Mojca Slemnik
Source: Nanomaterials (review, 2025-06-13)
Field: Chemistry — Organic Chemistry

Synthesis, Characterization, and Application of Magnetic Zeolite Nanocomposites: A Review of Current Research and Future Applications Magnetic zeolite nanocomposites (NCs) have emerged as a promising class of hybrid materials that combine the high surface area, porosity, and ion exchange capacity of zeolites with the magnetic properties of nanoparticles (NPs), particularly iron oxide-based nanomaterials. This review provides a comprehensive overview of the synthesis, characterization, and diverse applications of magnetic zeolite NCs. We begin by introducing the fundamental properties of zeolites and magnetic nanoparticles (MNPs), highlighting their synergistic integration into multifunctional composites. The structural features of various zeolite frameworks and their influence on composite performance are discussed, along with different interaction modes between MNPs and zeolite matrices. The evolution of research on magnetic zeolite NCs is traced chronologically from its early stages in the 1990s to current advancements. Synthesis methods such as co-precipitation, sol-gel, hydrothermal, microwave-assisted, and sonochemical approaches are systematically compared, emphasizing their advantages and limitations. Key characterization techniques-including X-Ray Powder Diffraction (XRD), Fourier Transform Infrared Spectroscopy (FTIR), Scanning and Transmission Electron Microscopy (SEM, TEM), Thermogravimetric Analysis (TGA), Nitrogen Adsorption/Desorption (BET analysis), Vibrating Sample Magnetometry (VSM), Zeta potential analysis, Inductively Coupled Plasma Optical Emission Spectroscopy (ICP-OES), and X-Ray Photoelectron Spectroscopy (XPS)-are described, with attention to the specific insights they provide into the physicochemical, magnetic, and structural properties of the NCs. Finally, the review explores current and potential applications of these materials in environmental and biomedical fields, focusing on adsorption, catalysis, magnetic resonance imaging (MRI), drug delivery, ion exchange, and polymer modification. This article aims to provide a foundation for future research directions and inspire innovative applications of magnetic zeolite NCs. Characterization (materials science) ; Nanocomposite ; Zeolite ; Materials science ; Current (fluid) ; Nanotechnology ; Chemical engineering ; Engineering physics ; Engineering ; Chemistry ; Catalysis ; Electrical engineering ; Organic chemistry Nanomaterials for catalytic reactions ; Zeolite Catalysis and Synthesis ; Catalytic Processes in Materials Science
Authors: Yi Tang | Zhao Bi | Yangyang Xie | Xiaodie Xuan | Chenhui Yang
Source: Frontiers in Chemistry (review, 2025-07-23)
Field: Materials Science — Materials Chemistry

Two-dimensional vacancy-doped MXene nanomaterials for supercapacitors Supercapacitors (SCs) are high-performance electrochemical energy storage devices, and their performance hinges on the electrode materials. 2D MXene nanomaterials, with their excellent conductivity, tunable interlayer spacing, and rich surface chemistry, have emerged as highly promising electrode materials for SCs. However, the capacitive performance of intrinsic MXene fails to meet application requirements. This review first introduces the composition and principles of SCs in detail, then summarizes the pure MXene nanomaterials in SCs, and systematically explores the regulatory mechanisms of vacancy doping strategies on MXene material structure and capacitive performance. The study reveals the structure-property relationships, providing theoretical basis and direction for designing high-performance MXene-based SCs electrode materials. Supercapacitor ; Nanomaterials ; Materials science ; Nanotechnology ; Capacitive sensing ; Electrode ; Doping ; Vacancy defect ; Energy storage ; Electrochemistry ; Optoelectronics ; Computer science ; Chemistry MXene and MAX Phase Materials ; Supercapacitor Materials and Fabrication ; Advanced Memory and Neural Computing
Authors: M. M. Faruque Hasan | Tyeaba Tasnim Dipti | Liu Leo Liu | Caixia Wan | Feng Li | Zhongyu Yang
Source: Nanomaterials (review, 2025-08-02)
Field: Chemistry — Inorganic Chemistry

Coating Metal–Organic Frameworks (MOFs) and Associated Composites on Electrodes, Thin Film Polymeric Materials, and Glass Surfaces Metal-Organic Frameworks (MOFs) have emerged as advanced porous crystalline materials due to their highly ordered structures, ultra-high surface areas, fine-tunable pore sizes, and massive chemical diversity. These features, arising from the coordination between an almost unlimited number of metal ions/clusters and organic linkers, have resulted in significant interest in MOFs for applications in gas storage, catalysis, sensing, energy, and biomedicine. Beyond their stand-alone properties and applications, recent research has increasingly explored the integration of MOFs with other substrates, particularly electrodes, polymeric thin films, and glass surfaces, to create synergistic effects that enhance material performance and broaden application potential. Coating MOFs onto these substrates can yield significant benefits, including, but not limited to, improved sensitivity and selectivity in electrochemical sensors, enhanced mechanical and separation properties in membranes, and multifunctional coatings for optical and environmental applications. This review provides a comprehensive and up-to-date summary of recent advances (primarily from the past 3-5 years) in MOF coating techniques, including layer-by-layer assembly, in situ growth, and electrochemical deposition. This is followed by a discussion of the representative applications arising from MOF-substrate coating and an outline of key challenges and future directions in this rapidly evolving field. This article aims to serve as a focused reference point for researchers interested in both fundamental strategies and applied developments in MOF surface coatings. Materials science ; Coating ; Nanotechnology ; Metal-organic framework ; Porosity ; Thin film ; Substrate (aquarium) ; Electrochemistry ; Layer (electronics) ; Electrode ; Composite material ; Adsorption ; Organic chemistry ; Chemistry Metal-Organic Frameworks: Synthesis and Applications ; Gas Sensing Nanomaterials and Sensors ; Machine Learning in Materials Science
Authors: Juan Casanova‐Cháfer
Source: ACS Sensors (review, 2025-01-04)
Field: Materials Science — Materials Chemistry

Roadmap for Borophene Gas Sensors Borophene, a two-dimensional allotrope of boron, has emerged as a promising material for gas sensing because of its exceptional electronic properties and high surface reactivity. This review comprehensively overviews borophene synthesis methods, properties, and sensing applications. However, it is crucial to acknowledge the substantial gap between the abundance of theoretical literature and the limited experimental studies. While theoretical investigations have elucidated the stability and remarkable sensing capabilities of various borophene polymorphs across different gases, significant experimental challenges have hindered the translation of these theoretical predictions into practical devices. Consequently, this review carefully studies these challenges and shortcomings that are jeopardizing the practical implementation of borophene in real-world settings. Specifically, four key issues are thoroughly studied, such as superficial borophene oxidation upon exposure to the air, interference from relative humidity on gas molecule detection, lack of selectivity, and synthesis scalability. Finally, novel strategies are proposed to overcome these bottlenecks. By adopting these approaches, borophene can pave the way to drive the advancement of the next generation of sensing devices. Borophene ; Scalability ; Nanotechnology ; Computer science ; Materials science ; Biochemical engineering ; Database ; Engineering ; Monolayer Boron and Carbon Nanomaterials Research ; MXene and MAX Phase Materials ; 2D Materials and Applications
Authors: Haoran Sun | Bingqian Song | Xiaomin Sun | X.P. Cui | Zhan‐Guo Liu | Meng Cong | Mingyuan Sun | Zimeng Zhu | Yu Tian | Shuyu Liu | Ping Xu | Bing Dai | Lei Wang
Source: The Chemical Record (review, 2025-05-08)
Field: Materials Science — Materials Chemistry

Recent Representative Progress of Surface Coating Technology Surface coating technologies have become fundamental in modern industrial development, offering effective methods to enhance material surface properties while maintaining bulk characteristics. These technologies span from traditional methods like electroplating to advanced techniques such as physical vapor deposition (PVD), chemical vapor deposition (CVD), and atomic layer deposition (ALD), serving crucial functions in corrosion protection, wear resistance, and various specialized applications across industries. The field has witnessed significant advancement in both process sophistication and application scope, driven by increasing demands for enhanced material performance and environmental sustainability. The integration of nanotechnology and smart materials has led to the development of multifunctional coatings with unprecedented properties, while emerging technologies (such as smart manufacturing and biomedical coatings) like cold spray and biomimetic surface modification continue to expand the possibilities for surface engineering applications. Bearing it in mind, we would like to offer a timely and concisely summary for the recent representative progress of surface coating technology, hoping to provide basic understanding and fundamental guidance for the development of the field. Nanotechnology ; Coating ; Materials science ; Scope (computer science) ; Chemical vapor deposition ; Computer science ZnO doping and properties ; Metal and Thin Film Mechanics ; High-Temperature Coating Behaviors
Authors: Kuoteng Sun | Wancai Zhong | Songqiang Huang | Xuemin He | Weichen Cai | Rong Ma | Tao Jiang | Shuxin You | Lianbo Wang | Wenge Li
Source: Coatings (article, 2025-01-21)
Field: Materials Science — Materials Chemistry

Research Progress on the Corrosion Mechanism and Protection Monitoring of Metal in Power Equipment The stability and reliability of power supply are crucial for driving economic growth and ensuring sustainable development. Among the factors threatening engineering equipment safety, metal corrosion is particularly significant, with iron (Fe), aluminum (Al), and their alloys being the most vulnerable to degradation. This review provides a systematic overview of the corrosion mechanisms, protection strategies, and monitoring technologies for Fe and Al metals and their alloys. The discussion begins with an analysis of the primary corrosion forms affecting these materials, emphasizing the role of environmental and material-specific factors. Advances in corrosion protection methods, including surface treatments, protective coatings, and the utilization of corrosion products to enhance material durability, are examined in detail. Furthermore, the application of real-time and unmanned platform technologies for corrosion monitoring is highlighted, with a focus on their potential to improve monitoring efficiency, accuracy, and safety evaluations. These technologies provide robust data and technical support for the development of targeted corrosion-resistant solutions. This review aims to offer insights into the current challenges and future directions in the study of Fe and Al corrosion resistance, serving as a reference for both researchers and practitioners in the field of engineering. Mechanism (biology) ; Corrosion ; Nuclear engineering ; Protection mechanism ; Forensic engineering ; Environmental science ; Metallurgy ; Materials science ; Engineering ; Mechanical engineering ; Physics Corrosion Behavior and Inhibition ; Concrete Corrosion and Durability ; Hydrogen embrittlement and corrosion behaviors in metals