jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Eleni Zoglopiti | Styliani Roufou | Georgios Psakis | Esther Tobechukwu Okafor | Marilena E. Dasenaki | Ruben Gatt | Vasilis Valdramidis
Source: Food Engineering Reviews (article, 2025-07-22)
Field: Materials Science — Materials Chemistry

Unravelling the Hydrodynamic Cavitation Potential in Food Processing: Underlying Mechanisms, Crucial Parameters, and Antimicrobial Efficacy Abstract Food processing, a longstanding practice, employs a range of technologies to regulate microbial populations and ensure consistent quality and safety of products, instilling consumer trust in the food industry. As contemporary demands and safety standards evolve, a pressing need arises for less processed, nutrient-rich food items that adhere to more stringent microbiological criteria, promoting innovative and sustainable processing methods. Among these, hydrodynamic cavitation is presented as a promising technology due to its energy efficiency, low thermal impact, and ability to significantly reduce microbial loads without compromising nutritional value. Recent studies have explored hydrodynamic cavitation application in liquid food sterilization, beverage preservation, and water decontamination, demonstrating notable reductions in both spoilage and microorganisms. However, the exact mechanisms underlying this microbial inactivation ability of hydrodynamic cavitation remain partially understood, posing a challenge to process optimization and broader industrial adoption. This review critically examines the current understanding of hydrodynamic cavitation antimicrobial action, explores key design and operational parameters, and identifies knowledge gaps. Future research directions are proposed to enhance treatment efficacy and to support the integration of hydrodynamic cavitation into scalable, sustainable food processing workflows. Antimicrobial ; Biochemical engineering ; Cavitation ; Biology ; Engineering ; Microbiology ; Physics ; Mechanics Ultrasound and Cavitation Phenomena ; Electrohydrodynamics and Fluid Dynamics ; Crystallization and Solubility Studies
Authors: Xiaoxi Li | Xuanzhe Sha | Tongyao Zhang | Hanwen Wang | Zheng Han
Source: Advanced Functional Materials (article, 2025-04-18)
Field: Materials Science — Materials Chemistry

The Emerging Nano‐Opto‐Electromechanical Systems Based on van der Waals Heterostructures Abstract Nano‐opto‐electromechanical systems (NOEMS) is a new class of hybrid nanoscale or even atomic‐level systems that couple and manipulate optical, electrical, mechanical degrees of freedom in both classical and quantum domains. Recently, van der Waals heterostructures (vdWHs) have been investigated as a promising platform for the construction of NOEMS owing to their unique ability to combine a variety of 2D materials characterizing atomic‐scale, low effective mass, and exceptional optoelectric and mechanical properties. The unparalleled versatility in the selection of 2D materials and the stacking‐sequences of vdWHs open new avenues for the creation of multifunctional devices with tunable properties, paving the way for advanced technologies in nanoresonators, sensors, nano‐optoelectronics, and beyond. In this review, the characteristics of vdWHs applied to NOEMS, fabrication techniques, excitation and detection methods, and representative applications of the vdWHs‐based NOEMS are summarized, then concluded with a discussion of future opportunities and challenges for vdWHs‐based NOEMS, aiming to accelerate the development and application of high‐quality NOEMS. Materials science ; van der Waals force ; Nanotechnology ; Nano- ; Heterojunction ; Optoelectronics ; Quantum mechanics ; Physics ; Composite material 2D Materials and Applications ; Boron and Carbon Nanomaterials Research ; Topological Materials and Phenomena
Authors: Samaneh Niari | Nasser Hamdami | Mohsen Dalvi‐Isfahan | Alain Le‐Bail
Source: Applied Food Research (article, 2025-01-18)
Field: Chemistry — Analytical Chemistry

Ultrasound and microwave assisted extraction of acorn oil (Quercus brantii): Optimization and characterization This study aimed to optimize the extraction parameters and increase the oil yield, by comparing both microwave-assisted extraction (MAE) and ultrasound-assisted extraction (UAE) methods of extracting acorn oil ( Quercus brantii ). The study demonstrates that UAE and MAE are efficient, rapid, and resource-saving techniques for extracting acorn oil compared to conventional methods like Soxhlet extraction and long-duration maceration. UAE achieved a significantly higher oil yield (7.44 %) than MAE (5.45 %), reducing the extraction time from hours to just 33 min, and lowering solvent consumption. This efficiency makes UAE particularly advantageous for industrial-scale operations seeking to minimize environmental impact and operational costs. The findings further emphasize that UAE not only provides superior oil yield but also enhances the total phenolic content of the extracted oil, achieving a value 2.5 times higher than that obtained with MAE. Moreover, UAE demonstrated no significant increase in free fatty acids (FFA), maintaining the oil's quality, while MAE conditions showed a negative effect by increasing FFA levels. In addition to yield and quality, UAE also produced oil with superior color parameters, which could enhance consumer acceptability. These results underscore UAE's potential as a sustainable alternative, capable of reducing the environmental footprint by minimizing energy use, extraction time, and solvent waste. Acorn ; Extraction (chemistry) ; Characterization (materials science) ; Microwave ; Ultrasound ; Materials science ; Chemistry ; Botany ; Medicine ; Biology ; Chromatography ; Computer science ; Nanotechnology ; Radiology Spectroscopy and Chemometric Analyses ; Chemical and Physical Properties in Aqueous Solutions ; Plant biochemistry and biosynthesis
Authors: Vishwanath Kurawattimath | Barnabas Wilson | K. Geetha | Kalpana Divekar
Source: Scientific Reports (article, 2025-08-04)
Field: Materials Science — Biomaterials

Surface functionalized albumin nanoparticles of palbociclib with amplified brain delivery for treating brain glioblastoma Glioblastoma multiforme (GBM) has a global occurrence of 0.59 to 3.69 per one lakh people. Palbociclib (Palbo), an inhibitor of CDK4 (cyclin dependent kinase) and CDK6, is used for treating cancer. Palbo showed a limited therapeutic effect in brains of transgenic mice after oral administration. Further, studies on P-glycoprotein (P-gp) and breast cancer resistant protein (BCRP) knock-out mice showed that P-gp and BCRP (efflux transporters) restrict Palbo's permeability across the blood-brain barrier (BBB). Hence, the clinical usefulness of Palbo for treating GBM is limited. Palbociclib-loaded nanoparticles of albumin (Nps-Bsa-Palbo) and palbociclib-loaded nanoparticles of albumin conjugated with Polysorbate 80 (Nps-Bsa-Palbo-Ps-80) were formulated and optimized using Design Expert<sup>®</sup> 11.0.0. The Nps were prepared by desolvation with suitable size (195 nm and 221 nm) and zeta potential (13.4 mV and 10.6 mV). Nps-Bsa-Palbo and Nps-Bsa-Palbo-Ps-80 exhibited greater inhibition against the SH-SY5Y cell viability in comparison with free Palbo. Studies on healthy male rats confirmed that Nps-Bsa-Palbo-Ps-80 substantially enhanced Palbo distribution over free Palbo in the cerebellum, frontal cortex and posterior brain regions. Palbociclib ; Glioblastoma ; Albumin ; Surface modification ; Medicine ; Nanoparticle ; Cancer research ; Chemistry ; Internal medicine ; Nanotechnology ; Cancer ; Materials science Nanoparticle-Based Drug Delivery ; Advanced Breast Cancer Therapies ; Neuroendocrine Tumor Research Advances
Authors: Andrew Baker | Ljiljana Fruk
Source: Materials Horizons (review, 2025-01-01)
Field: Materials Science — Biomaterials

Reimagining drug nanocarriers: clinical realities and smarter strategies for targeted drug delivery Recent advances in nanomedicine have significantly improved the delivery of small molecule therapies and biologics for cancer treatment, gene therapy, and vaccines, leading to better patient outcomes and improved standard of care. Yet, despite the promise of targeted drug delivery, clinical trials of targeted nanoparticle-based systems have frequently underperformed. In this opinion piece, we explore the persistent obstacles facing nanomedicine, analyse the shortcomings of targeted strategies, and propose a path forward. We argue that progress will require a re-examination of nanoparticle pharmacokinetics, optimisation of dosing regimens, and solutions to antigen depletion. These steps are critical for realising the full potential of nanomedicine. Nanocarriers ; Nanomedicine ; Drug delivery ; Drug ; Targeted drug delivery ; Medicine ; Nanotechnology ; Pharmacology ; Materials science ; Nanoparticle Nanoparticle-Based Drug Delivery ; RNA Interference and Gene Delivery ; Graphene and Nanomaterials Applications
Authors: Iram Naz | Maryam Maryam | Aysha Arif Chahel | Ishtiaq Ahmad | Amber Raza | Muhammad Wasim Haider | Muhammad Saqlain Zaheer | Muhammad Waheed Riaz | Muhammad Rizwan | Salim Manoharadas
Source: Scientific Reports (article, 2025-07-25)
Field: Materials Science — Materials Chemistry

Investigating the use of green synthesized copper oxide nanoparticles from Melia azedarach to combat cadmium stress in wheat Wheat (Triticum aestivum L.) is a staple crop that is essential for global food security and nutrition. However, cadmium (Cd) stress significantly impairs plant growth and development by disrupting biological processes. This study investigated the potential of the use of CuO nanoparticles synthesized from Melia azedarach (MA-CuONPs) as a strategy to mitigate the lethal effects of CdCl<sub>2</sub> and enhance the resilience of T. aestivum L. cv. Arooj-22. The experiment utilized a completely randomized design with a two-factor factorial arrangement and three replications. The green synthesis of MA-CuONPs was achieved via the use of M. azedarach leaves, where copper ions are reduced by plant extracts. The NPs were analyzed via a UV spectrophotometer, which showed a maximum absorbance at 218 nm, confirming the successful formation of green-synthesized MA-CuONPs. The CdCl<sub>2</sub> concentrations used were 0, 10, 20, and 30 ppm, whereas MA-CuONPs were applied at concentrations of 0, 10, 15, and 20 ppm. CdCl<sub>2</sub> was administered 15 days postgermination, and MA-CuONPs were foliar sprayed during three growth stages, namely, tillering, jointing, and heading, with Tween 80 as a surfactant. The morphological, physiological, and anatomical parameters of the stem and root and yield parameters were recorded and analyzed via Statisticin 8.1 (two-way ANOVA). The results indicated that at the highest Cd concentration (30 ppm), all the measured parameters significantly decreased, reflecting the adverse effects of Cd stress. Conversely, the application of 20 ppm MA-CuONPs significantly increased all the parameters, demonstrating their ability to mitigate Cd-induced stress. As the Cd concentration increased, a corresponding decline in plant performance was observed, while increasing the CuNP concentration led to improved growth and resilience. This study highlights the potential of CuNPs to increase wheat performance under heavy metal stress, positioning them as a promising approach for improving wheat resilience and productivity in contaminated environments. Melia azedarach ; Copper ; Cadmium ; Nanoparticle ; Materials science ; Botany ; Metallurgy ; Nanotechnology ; Biology Nanoparticles: synthesis and applications
Authors: Daniele Tanzilli | Lorenzo Strani | Maxime Metz | Jean Michel Roger | Matthieu Lesnoff | Cyril Ruckebusch | Marina Cocchi | Raffaele Vitale
Source: Analytica Chimica Acta (article, 2025-05-09)
Field: Chemistry — Analytical Chemistry

Locally-weighted-RoBoost-PLS: a multivariate calibration approach to simultaneously cope with non-linearities and outliers This paper describes a novel multivariate calibration approach named LW-RoBoost-PLS, which provides a solution for predictive modelling in scenarios where outliers and non-linearities co-exist. LW-RoBoost-PLS simultaneously handles non-linearities and outliers by combining local and robust modelling strategies, leading to improved prediction accuracy and reduced bias. Chemistry ; Outlier ; Multivariate statistics ; Calibration ; Multivariate analysis ; Statistics ; Pattern recognition (psychology) ; Artificial intelligence ; Mathematics ; Computer science Spectroscopy and Chemometric Analyses ; Advanced Chemical Sensor Technologies ; Fault Detection and Control Systems
Authors: Sandeep Kumar | S N Suman | M. Muthukumar | Kuldeep Mishra | Anju Bajpai | Ajay Kumar Tiwari | Gaurav Srivastava | Shonak Bansal | Kavita Chaturvedi | Shubham Maurya | T. Damodaran | Bharati Killadi | Dinesh Ranjan
Source: Frontiers in Nanotechnology (article, 2025-07-28)
Field: Materials Science — Materials Chemistry

Technical review on different metal nanoparticles and their formulations on growth, agronomic and economic traits of crop plants Metal nanoparticles (MNPs) are emerging as powerful inputs for sustainable agriculture due to their high surface reactivity, bioavailability, and controlled release properties leading to better resource availability and higher productivity. This technical review critically examines the application of eight metal nanoparticle (MNP) formulations—zinc, iron, copper, silver, calcium, titanium, gold, and selenium—in enhancing agronomic and economic traits in agriculture. The review highlights the potential of these MNPs to improve crop yield, disease resistance, nutrient uptake, and overall plant health, offering insights into their mechanisms of action and practical applications in sustainable farming. ZnO-NPs, Fe 2 O 3 -NPs, Cu-NPs, and Ag-NPs have proven to enhance nutrient use efficiency in crops. ZnO and Fe 2 O 3 -NPs improve nutrient uptake, boost photosynthesis, and increase stress tolerance, especially to drought and salinity. Cu-NPs and Ag-NPs stand out for their antibacterial and antifungal properties, offering a novel approach to managing plant diseases. Calcium and titanium nanoparticles boost resilience under salt and oxidative stress. Au-NPs and Se-NPs enhance antioxidant activity and growth, but their effects are dose-dependent. Higher MNP concentrations may cause adverse effects, highlighting the need for careful optimization. In conclusion, while metal nanoparticles (MNPs) hold great potential for enhancing crop plant traits, issues such as dosage optimization, formulation protocols, and environmental and toxicological concerns need careful consideration. To overcome these challenges, the integration of green technologies using microbial and phyto-metabolites could provide safer, more sustainable alternatives, ensuring effective and environmentally friendly use of MNPs in agriculture. Crop ; Agronomy ; Metal ; Nanoparticle ; Agricultural engineering ; Biotechnology ; Materials science ; Environmental science ; Nanotechnology ; Engineering ; Biology ; Metallurgy Nanoparticles: synthesis and applications
Authors: Chenying Li | Xiao Tan | Liguo Liu | Wei Zhang | Qiming Yang | Jingying Cao | E Zhou | Mingzhen Li | Zaixin Song
Source: Materials (article, 2025-01-22)
Field: Materials Science — Materials Chemistry

Investigation of Near-Infrared Spectroscopy for Assessing the Macroscopic Mechanical Properties of Cross-Linked Polyethylene During Thermal Aging The present study investigates the relationship between the near-infrared (NIR) spectral characteristics of cross-linked polyethylene (XLPE) insulation materials and their macroscopic properties, with the aim of establishing a reference framework for non-destructive material aging analysis. Accelerated thermal aging tests were conducted on samples of XLPE cables. These samples underwent Fourier-transform infrared spectroscopy (FTIR), elongation at break (EAB), and tensile strength (TS) tests. The temporal variation curves of the carbonyl index (CI), EAB, and TS were obtained at aging temperatures of 105 °C, 135 °C, 155 °C, and 180 °C. Additionally, NIR spectroscopy was performed on the aged XLPE samples, producing absorbance curves corresponding to different aging times at these temperatures. The absorption peaks of 'C-H (-CH<sub>2</sub>-)' (1730 nm/1764 nm) were analyzed to determine their temporal variation patterns. Finally, a correlation analysis was conducted between the NIR results and those of the FTIR, EAB, and TS tests, revealing numerical relationships between NIR characteristic peaks and FTIR, EAB, and TS data. These quantified correlations demonstrate that NIR can effectively represent macroscopic mechanical properties, thereby simplifying the procedures for monitoring material aging and providing valuable results without requiring destructive testing. Results indicate that there is a certain feasibility in replacing traditional cable aging tests with NIR. Fourier transform infrared spectroscopy ; Materials science ; Polyethylene ; Absorbance ; Cross-linked polyethylene ; Near-infrared spectroscopy ; Ultimate tensile strength ; Composite material ; Spectroscopy ; Infrared ; Infrared spectroscopy ; Accelerated aging ; Elongation ; Analytical Chemistry (journal) ; Optics ; Chemistry ; Organic chemistry ; Chromatography High voltage insulation and dielectric phenomena ; Electrical Fault Detection and Protection ; Infrastructure Maintenance and Monitoring
Authors: Yundie Guan | Xiangyu Zhang | Zheming Liang | Tao Chen
Source: IET Renewable Power Generation (article, 2025-01-01)
Field: Materials Science — Materials Chemistry

A learning‐based energy management strategy for hybrid energy storage systems with compressed air and solid oxide fuel cells Abstract The intermittency and volatility of renewable energy have been major challenges in modern power systems. This paper proposes a self‐adaptive energy management strategy based on deep reinforcement learning (DRL) to integrate renewable energy sources into a system comprising compressed air energy storage, battery energy storage systems, and solid oxide fuel cells. However, the basic deep deterministic policy gradient algorithm lacks sensitivity to environmental changes, particularly when there is a mismatch in module capacity within the system. This limitation may affect the proper selection of the charging and discharging actions for the hybrid energy storage system. Thus, some modifications are dedicated to the careful replay buffer design in the basic algorithm, improving the ability to identify subtle changes in the reward function. The proposed method is also compared with other DRL methods to validate the feasibility and effectiveness. The simulation results demonstrate the compatibility of the improved algorithm with the proposed energy management strategy and better performance in terms of economic benefits. Energy management ; Compressed air energy storage ; Energy storage ; Fuel cells ; Compressed air ; Computer science ; Process engineering ; Automotive engineering ; Energy (signal processing) ; Environmental science ; Chemical engineering ; Engineering ; Mechanical engineering ; Physics ; Power (physics) ; Thermodynamics Advancements in Solid Oxide Fuel Cells ; Electrocatalysts for Energy Conversion ; Fuel Cells and Related Materials
Authors: Liang Wang | Bo Zhang | Xiaoqing Dong | Qi Lu | Hao Shen | Yi Ni | Yuechen Liu | Haitao Song
Source: Electronics (article, 2025-07-07)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Multi-Band Terahertz Metamaterial Absorber Integrated with Microfluidics and Its Potential Application in Volatile Organic Compound Sensing In this study, a terahertz microfluidic multi-band sensor was designed. Unlike previous microfluidic absorption sensors that rely on dipole resonance, the proposed sensor uses a physical mechanism for absorption by exciting higher-order lattice resonances in microfluidic structures. With a Fabry–Perot cavity, the sensor can form an absorption peak with a high quality factor (Q) and narrow full width at half maximum (FWHM). A high Q value and a narrow FWHM are valuable in the field of sensing and provide strong support for high-precision sensing. On this basis, the sensing performance of the device was investigated. The simulation results clearly show that the absorption sensor has ultra-high sensitivity, which reaches 400 GHz/Refractive Index Unit (RIU). In addition, the sensor generates three absorption peaks, overcoming the limitations of a single frequency band in a composite resonance mode and multidimensional frequency response, which has potential application value in the field of volatile organic compound (VOC) sensing. Terahertz radiation ; Metamaterial ; Materials science ; Optoelectronics ; Microfluidics ; Terahertz metamaterials ; Metamaterial absorber ; Tunable metamaterials ; Nanotechnology ; Optics ; Physics ; Far-infrared laser Metamaterials and Metasurfaces Applications ; Terahertz technology and applications ; Molecular Communication and Nanonetworks
Authors: Kyle Kernick | Robyn Woudstra | Mark Berjanskii | Scott MacKay | David S. Wishart
Source: Nucleic Acids Research (article, 2025-05-05)
Field: Chemistry — Physical and Theoretical Chemistry

Heatmapper2: web-enabled heat mapping made easy First released in 2016, Heatmapper provided the first comprehensive, web-based platform for easily visualizing and manipulating heat maps for a wide range of applications in biology, epidemiology, ecology, and many other areas of science and social science. However, as Heatmapper's popularity grew, limitations in its performance and functionality became more apparent, necessitating the development of a new version: Heatmapper2 (https://heatmapper2.ca/). Heatmapper2 represents a substantial upgrade to the original Heatmapper web server, with much of the code being completely rewritten to improve performance, enhance capabilities and integrate new web technologies. Among the key changes are the conversion of the back-end code from R to Python (for better processing speed), the migration away from R Shiny to Shiny Python, and the use of WebAssembly. WebAssembly enables high performance, graphically intense applications to be run client-side in a web browser. Moving computationally intense calculations away from a central server and on to client computers eliminates server congestion and significantly improves performance. In addition to its significantly improved performance, Heatmapper2 now supports a wider range of heat mapping options including: time-series or animated heat maps (for geospatial applications), 3D heat maps (for mapping data on organisms or body parts); protein structure heat maps (for mapping molecular dynamic processes), molecular spatial heat maps (for spatial omics applications), and spectrometric heat maps (for mass spectrometry applications). Heatmapper2's redesigned interface also supports much more extensive customization, more easily editable tables, and more efficient handling of large datasets. These enhancements should make Heatmapper2 much more appealing for a wider range of researchers and research applications. Python (programming language) ; Geospatial analysis ; Computer science ; Web application ; Personalization ; Database ; Upgrade ; World Wide Web ; Distributed computing ; Operating system ; Cartography thermodynamics and calorimetric analyses ; Physiological and biochemical adaptations ; Metabolomics and Mass Spectrometry Studies