jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Hazima Tariq | Muhammad Sohail Khan | Abdul Ghani Iqbal | S Nabi | Nasir Khan | Ayesha Saeed
Source: Indus journal of bioscience research. (article, 2025-08-31)
Field: Materials Science — Biomaterials

Magnetic Nanoparticles for Targeted Cancer Diagnosis, Therapy, and Personalized Treatment We conducted a prospective, controlled preclinical study of anti-EGFR–targeted superparamagnetic iron-oxide nanoparticles (Fe₃O₄ core with silica interlayer and PEG shell), including a doxorubicin-loaded therapeutic variant, to test imageable delivery and treatment. Mice bearing A431 tumors received IV nanoparticles; magnetic targeting used a ~0.5 T neodymium array (≈15 T/m gradient), magnetothermal activation used an alternating magnetic field (~300 kHz, 10–15 kA/m, 30 min). MRI at 3 T (plus 0.064 T) with multi-echo GRE provided R₂* maps; phantom calibration converted R₂* to tissue iron; ICP-MS served as reference; analyses were performed in SPSS. Magnetic guidance increased intratumoral iron ~2.1–2.9× at 1 h and 24 h by both MRI and ICP-MS (e.g., 1 h MRI 17.8 vs 6.2 µg Fe/g; ICP-MS 18.4 vs 6.6). Imaging quality improved (tumor CNR 6.1 → 14.8 at 1 h; small-lesion &lt;3 mm detection 85%), and node-level performance versus histology was high (sensitivity 87.5%, specificity 88.5%, AUC 0.92). Therapeutically, outcomes progressed from standard care to untargeted MNP-dox to targeted MNP-dox and were best with targeting + hyperthermia (tumor volume change +210% → −10%, median survival 28 → 54 days), with rising TUNEL and 4-HNE signals and manageable safety labs. These results indicate that the same particles can measure (quantitative MRI), steer/activate (magnetic targeting ± hyperthermia), and treat, enabling image-guided selection and adaptive dosing for personalized nanotheranostics. Magnetic resonance imaging ; Hyperthermia ; Magnetic nanoparticles ; Cancer ; Magnetic hyperthermia ; Imaging phantom ; Washout ; Superparamagnetism Nanoparticle-Based Drug Delivery
Authors: Nageswara Rao Lakkimsetty | Rohini Kumar Palavalasa | Noor Mohammed Said Qahoor | Babu Rao Gaddala | China Subbarao Chikkam | G. Kavitha | Dadapeer Doddamani | Rakesh Namdeti
Source: Journal of Environmental & Earth Sciences (article, 2025-05-09)
Field: Chemistry — Organic Chemistry

Harnessing Avicennia Marina Leaves for Dye Contaminant Removal: An RSM and ANN-Based Study This study examines the efficacy of Avicennia marina (AM) leaves as an environmentally sustainable biosorbent for the extraction of methylene blue (MB) dye from wastewater. A hybrid approach of Response Surface Methodology (RSM) and Artificial Neural Networks (ANN) was implemented to assess, optimize, and forecast biosorption effectiveness across different operating parameters. The experimental design employed a Central Composite Design (CCD) methodology, focusing on critical parameters including pH, initial dye concentration, temperature, and biosorbent dosage. The ideal biosorption parameters were identified as a temperature of 44.3°C, pH 7.1, a biosorbent dosage of 0.3 grams, and an initial dye concentration of 48.4 mg/L, resulting in a maximum removal efficiency of 84.26%. The ANN model exhibited significant prediction accuracy, so confirming its appropriateness for predicting and enhancing intricate biosorption processes. The findings underscore that AM leaves constitute a cost-efficient, plentiful, and ecologically sustainable resource for wastewater treatment purposes. Furthermore, the amalgamation of RSM and ANN shown significant efficacy in process optimization and forecasting. These findings provide significant insights into the advancement of eco-friendly solutions for the treatment of dye-contaminated water. Subsequent study must prioritize the amplification of the procedure for industrial applications, the execution of ongoing system assessments, and the evaluation of the enduring environmental and economic ramifications of utilizing AM leaves as a biosorbent. Avicennia marina ; Environmental science ; Biology ; Mangrove ; Fishery Edible Oils Quality and Analysis ; Dye analysis and toxicity
Authors: Qiang Zhu | Zahra Raza | Dzung Do‐Ha | Elena Costa | Pavlina Sasheva | Luke McAlary | Hadi Mahmodi | Warwick P. Bowen | Lezanne Ooi | Irina V. Kabakova | Haibo Yu
Source: ChemRxiv (preprint, 2025-05-28)
Field: Materials Science — Biomaterials

Biomolecular Condensates as Emerging Biomaterials: Functional Mechanisms and Advances in Computational and Experimental Approaches Biomolecular condensates, a ubiquitous class of biomaterials in living cells, have been shown to be responsible for key physiological processes, such as gene regulation, signal transduction, and stress response. Since their discovery, extensive efforts have been devoted to this field to better understand their underlying mechanisms using both computational and experimental techniques. While great progress has been achieved, key challenges still exist. With advancements in computational power and methods and improvements in experimental precision, the gap between computation and experimentation is gradually narrowing. By integrating these approaches, researchers can elucidate the molecular mechanisms governing biomolecular condensates. This review summarizes recent progress in utilizing computational and experimental techniques to study biomolecular condensates. Detailed discussions are provided on the key advantages and limitations of each technique, along with their successful applications to specific systems. Moreover, further discus- sions are focused on the possibility of utilizing biomolecular condensates as a versatile platform for drug delivery and novel bioreac- tor design with the help of these techniques. Finally, future directions are outlined for technique development to better understand the role of biomolecular condensates in health and disease and enable their applications as tunable biomaterials. Nanotechnology ; Biochemical engineering ; Computer science ; Computational biology ; Data science ; Materials science ; Engineering ; Biology Supramolecular Self-Assembly in Materials
Authors: Wei Gao | Jinyu Tai | Zhiqiang Xiang | Yunbo Shi | Xin Li | Huan Fei Wen | Fēi Dèng | Zhonghao Li | Zongmin Ma | Hailong Wang | Weixuan Zhang | Zheng Lou | Hao Guo | Jun Tang | Lili Wang | Jun Liu
Source: Microsystems & Nanoengineering (article, 2025-12-10)
Field: Materials Science — Materials Chemistry

Temperature field ultrafast detection and identification quantum sensor based on diamond array Ultrafast temperature field detection and identification is crucial for applications ranging from environmental sensing and biomedical monitoring to thermal management in advanced energy systems. Conventional temperature sensors-comprising discrete sensing arrays, data storage units, and external processors-suffer from high latency due to slow sensor response, repeated analog-to-digital conversions, and extensive data transmission inherent to von Neumann architectures. Here, we report a diamond array-based quantum sensor that integrates temperature sensing and real-time processing within a unified in-sensor computing (ISC) architecture. Exploiting the strong linear correlation between temperature and the zero-field splitting of nitrogen-vacancy (NV) color center centers in diamond, we realize a fixed-frequency temperature sensor with ultrafast response and tunable responsivity, enabled by multi-parameter microwave modulate. Matrix-vector multiplication of temperature intensity and responsivity, combined with Kirchhoff's current summation, enables direct execution of neural-network-style computations on sensed data. The proposed system achieves a single-shot detection and identification latency of just 196.8 μs, as experimentally validated. This work demonstrates a scalable ISC-enabled quantum sensing paradigm, offering a promising route toward high-speed, low-power intelligent temperature field detection. Ultrashort pulse ; Quantum sensor ; Scalability ; Temperature measurement ; Latency (audio) ; Ranging ; Thermal ; Diamond ; Quantum Diamond and Carbon-based Materials Research ; Mechanical and Optical Resonators ; Gas Sensing Nanomaterials and Sensors
Authors: Umair Sarwar | Ainul Akmar Mokhtar | Masdi Muhammad | Shuaib Kaka | Paras Behrani | Daulat Khan
Source: Journal of Advanced Research in Micro and Nano Engieering (article, 2025-05-30)
Field: Materials Science — Materials Chemistry

Finite Element Modelling of Mechano-electrochemical Effect of High Strength Steel Pipeline Corrosion High-strength low alloy steels are cost-effective steel grades, and they are susceptible to corrosion-induced degradation, posing significant safety and economic concerns. Understanding the interaction of mechano-electrochemical (M-E) in corrosion processes is crucial for ensuring the integrity and longevity of these pipelines. The study presents a finite element (FE) modelling approach to investigate the M-E effect of high-strength steel pipeline corrosion. The results of the FE model were verified using experimental measurements. The modelling results, which include the corrosion current density and corrosion potential, agree well with the experimental measurements for the steel pipe in a near-neutral pH environment. The study reveals that increasing longitudinal tensile strain and corrosion defect depth lead to localized stress enhancements on the pipe wall. While tensile strain induces an overall stress level increase, deeper corrosion defects concentrate stress at the defect centre. The M-E effect of pipe corrosion is elucidated through the integration of mechanical, electrochemical, and electric fields in the model. The research also underscores the importance of understanding these interactions for predicting and mitigating corrosion-induced failures in high-strength steel pipelines. Pipeline (software) ; Finite element method ; Corrosion ; Electrochemistry ; Materials science ; Structural engineering ; Metallurgy ; Engineering ; Mechanical engineering ; Electrode ; Chemistry Corrosion Behavior and Inhibition ; Hydrogen embrittlement and corrosion behaviors in metals ; Non-Destructive Testing Techniques
Source: International Journal of Science and Innovation (article, 2025-01-01)
Field: Materials Science — Biomaterials

Aptamer-Driven Nanovehicles for Targeted Therapy of HER2 Overexpressing Breast Cancer Cells Aptamers are single-stranded small nucleotide segments capable of interacting with numerous biomolecules with solid affinity and have gained significant attention in cancer biomarkers and targeted therapy.Recently, a drug delivery nanovehicle incorporating an anticancer compound targeting the HER2 receptor in breast cancer has been developed.This demonstrates how useful aptamer-based nanovehicles are for creating indicators unique to cancer, reducing side effects, and enhancing treatment effectiveness.The interior of the nanovehicle contains a protamine-aptamer complex that binds to epigallocatechin gallate (EGCG: an anticancer medication), while the surface comprises a HER2 affinity aptamer.The nanovehicle is a carrier bound to cancer cells and transports the anticancer medication into them.Our hypothesis is that the HB5 aptamer on the nanovehicle surface interacts with the particular HER2 receptor area to identify HER2+ cancer cells.AlphaFold web server was used for the HER2 receptor 3D structure.We conducted in silico investigations to estimate aptamers' three-dimensional structure and interactions with HER2 and protamine.We discovered that the surface aptamer creates a particular linear shape necessary for HER2 receptor interactions.The inner aptamer is small and forms a patterned structure with the protamine, releasing EGCG into the cytoplasm in the presence of abundant cytoplasmic ATP.These findings would benefit in understanding aptamer-receptor binding, cancer medicine release mechanism, and creating a possible accurate and safe drug-delivery vehicle. Aptamer ; Breast cancer ; Cancer research ; Cancer ; Cancer therapy ; Targeted therapy ; Medicine ; Computational biology ; Internal medicine ; Biology ; Molecular biology Nanoparticle-Based Drug Delivery ; Dendrimers and Hyperbranched Polymers ; Supramolecular Self-Assembly in Materials
Authors: Moritz Liesegang | Simon Ettmüller
Source: Research Square (preprint, 2025-09-08)
Field: Materials Science — Polymers and Plastics

A novel approach to rapidly process vitrimer composites using power ultrasonics Ultrasonic sensor ; Consolidation (business) ; Composite number ; Thermosetting polymer ; Fabrication ; Stiffness ; Epoxy Polymer composites and self-healing
Authors: Dirk Englund | Yuqin Duan | Qing Gu | Yong Hu | Kevin C. Chen | Matthew E. Trusheim
Source: Research Square (preprint, 2025-07-16)
Field: Materials Science — Materials Chemistry

Atomic Localization Fluorescent Microscopy Microscopy ; Scaling ; Photon ; Diffraction ; Physics ; Optics ; Lattice (music) ; Materials science ; Computational physics ; Mathematics Diamond and Carbon-based Materials Research ; Force Microscopy Techniques and Applications ; Electronic and Structural Properties of Oxides
Authors: Natalia Menshutina | D. A. Kunaev | Andrey Abramov | Alekseev Aleksandr
Source: Polymers (article, 2025-12-29)
Field: Materials Science — Biomaterials

Polyacrylonitrile Nanofiber Mats Produced by Solution Blow Spinning: Influence of Process Parameters on Fiber Diameter and Residual Solvent Content This study reports on the fabrication of polyacrylonitrile (PAN) nanofiber mats by solution blow spinning. A fabrication protocol is presented together with a comprehensive investigation of how key process parameters (polymer solution concentration, air pressure, and solution flow rate) affect the residual solvent content and the diameter of the resulting nanofibers. The following dependencies were identified: increasing solution concentration leads to larger fiber diameters, whereas increasing air pressure and decreasing solution flow rate both result in smaller diameters. The residual solvent content exhibits a non-linear dependence on the process parameters with an expressed minimum. The number-average diameter of the nanofibers ranges from 428 to 221 nm. Regression analysis confirmed the statistical significance of the effects of the studied factors on fiber diameter, and the fact that the calculated value of the Fisher criterion is lower than the critical tabulated value indicates that the proposed model is adequate. The determination coefficient of 0.85 demonstrates a high degree of consistency between the model and the experimental data. Polyacrylonitrile ; Nanofiber ; Fabrication ; Fiber ; Residual ; Solvent ; Volumetric flow rate ; Process (computing) Electrospun Nanofibers in Biomedical Applications ; Fiber-reinforced polymer composites ; Advanced Cellulose Research Studies
Authors: Qingdong Zhong | Xuemei Wang
Source: Surface Science and Technology (article, 2025-07-29)
Field: Materials Science — Materials Chemistry

Investigation of localized corrosion behavior in a copper-stainless steel curved surface coupling system in chloride-containing acidic environments using wire beam electrode techniques Abstract To investigate the galvanic corrosion behavior of a copper (Cu)-304 stainless steel curved surface coupling system in a chloride-containing acidic environment, wire beam electrode (WBE) technology was innovatively integrated with dynamic electrochemical monitoring. The approach enabled a systematic analysis of how the geometric characteristics of a curved surface and variations in cathode area jointly influence local corrosion dynamics. A series of flat and curved (curvature radius: 3 mm) Cu WBE models, along with cathode areas of varying diameters (ϕ0.3–0.9 mm), were constructed. By coupling these with in situ current distribution mapping, electrochemical impedance spectroscopy, and polarization curve analysis, it was revealed that the curved surface geometry significantly enhanced chloride ions/proton mass transport and facilitated the dynamic breakdown of passive films, thereby elevating the local corrosion intensity index to 2.9 times that observed under flat-surface conditions. Further investigations demonstrated that a moderate cathode size (ϕ0.7 mm diameter) effectively optimized the interfacial microenvironment, markedly suppressed the anodic dissolution rate (total current density reduced by 28%). And it increased the breakdown potential of the stainless steel passivation film, enhanced the self-repairing ability of the passivation film. This study, for the first time, elucidates the dynamic mechanisms underlying the synergistic regulation of galvanic current distribution by surface curvature and cathode area, offering critical theoretical insights for the corrosion-resistant design and life prediction of dissimilar metal joints with complex geometries in aggressive environments. Copper ; Materials science ; Corrosion ; Electrode ; Chloride ; Copper wire ; Coupling (piping) ; Metallurgy ; Beam (structure) ; Composite material ; Chemistry ; Structural engineering ; Engineering Corrosion Behavior and Inhibition ; Hydrogen embrittlement and corrosion behaviors in metals ; Concrete Corrosion and Durability
Authors: Dalei Wang | Xiaotao Han | Hao Wang | Zenan Li | Zhaomin Chen | Qing Yang | Mingcheng Yang | Zexin Zhang | Yizhi Zhu | Jintao Tong | Jie Lin | Jingsong Huang | Daping Luo | Tao Wang | Wei Liu | Wenxue Li | Chunxiang Xu | Bin Dong | Zhenhui Kang
Source: Nature Communications (article, 2025-07-01)
Field: Materials Science — Materials Chemistry

Directional white-light emission from sintered carbon dot titanium dioxide structures based on near-field confinement Directional light source not only helps to advance scientific progresses but also has great potentials in many application fields. However, it is still challenging to achieve the directional white light without optical elements. Here, we report a highly directional white-light emitter driven by 1064 nm near-infrared laser with 1/60 solid angle that does not require the introduction of optical elements. The emitter which consists of binary components, i.e. carbon dot and titanium oxide, possesses a microlens-shape surface formed during the synthesis process. Upon near-infrared light excitation, carbon dot emits white light based on a fundamentally different mechanism, which may involve a process similar to bremsstrahlung, multiphoton and thermal processes. The emitted white light is then regulated in the near field by the microlens-shape surface due to the confinement effect, resulting in the high directionality. The highly directional white-light emitter exhibits excellent stability and repeatability, making it promising for applications including targeted illumination and projection. Materials science ; White light ; Titanium dioxide ; Carbon fibers ; Carbon dioxide ; White (mutation) ; Optoelectronics ; Composite material ; Chemistry Carbon and Quantum Dots Applications ; Luminescence and Fluorescent Materials ; Quantum Dots Synthesis And Properties
Authors: Kambiré Sobamfou Marius | Gnanwa Mankambou Jacques | Mariko Kalifa | Karamoko Bonito Aristide
Source: Tropical Journal of Natural Product Research (article, 2025-10-30)
Field: Materials Science — Materials Chemistry

Thermal Stability and Kinetic Characterization of Insect-Derived Glycosidases Using the Arrhenius Model Enzymes derived from insects are increasingly recognized as promising alternatives to conventional microbial or plant-derived enzymes, owing to their adaptation to diverse ecological niches and their potential for unique biochemical properties. Among these, glycosidases play a central role in biomass conversion and related industrial processes, where stability under varying environmental conditions is essential. In this study, we investigated the thermal stability and inactivation kinetics of two insect-derived glycosidases, β-glucosidase (Rpbglu) and β-galactosidase (Rpbgal), isolated from the digestive tract of Rhynchophorus palmarum&nbsp;larvae. The primary objective was to evaluate their kinetic and thermodynamic behaviors during heat treatment using the Arrhenius model, to explore their potential for industrial and biotechnological applications. Experimental results demonstrated that both enzymes exhibited a progressive loss of activity in a temperature- and time-dependent manner, following first-order kinetics. Inactivation rate constants (k) increased with rising temperatures. The calculated activation energies (Ea) were 62.78 kJ·mol⁻¹ for β-glucosidase and 54.45 kJ·mol⁻¹ for β-galactosidase. Thermodynamic analyses revealed average activation enthalpies (ΔH#) of 60.01 and 51.64 kJ·mol⁻¹, respectively, and positive Gibbs free energies of activation (ΔG#), indicating that inactivation is a non-spontaneous process requiring external energy input. The negative activation entropies (ΔS#) further suggested a transition to a more ordered molecular state during inactivation. These findings highlight the notable thermal resilience of insect-derived glycosidases and provide fundamental insights into their kinetic properties. Overall, this study underscores their suitability as potential candidates for future biotechnological and industrial applications, particularly in sectors where catalytic efficiency and stability under heat stress are critical. Arrhenius equation ; Activation energy ; Gibbs free energy ; Kinetics ; Kinetic energy ; Thermal stability ; Enthalpy ; Thermodynamic equilibrium Thermal and Kinetic Analysis ; Insect Utilization and Effects ; thermodynamics and calorimetric analyses
Authors: Haneen Abdulamir Alasady | Luay Salam Khaleefah | Ahmed Adel Alomer
Source: Natural and Engineering Sciences (article, 2025-12-09)
Field: Materials Science — Biomaterials

Green Biopolymer-Based Edible Coatings for Quality Retention and Extended Shelf Life of Table Eggs This study aimed to evaluate the effectiveness of edible films and coatings formulated using Chitosan and whey protein in improving the internal quality, shelf life, and microbial safety of chicken eggs during storage. New eggs were divided into chitosan-coated, whey protein coated, combined Chitosan whey protein, and uncoated control groups, immersed in their respective solutions, dried, and stored at room temperature for 28 days. Egg quality parameters, including Haugh unit, albumen height, and weight loss, were recorded weekly, and microbial contamination was measured using standard plate counts. Egg-coated showed considerably greater Haugh units, lesser weight loss, and lower microbial loads compared to uncoated ones. Chitosan and combined chitosan/ whey protein coatings were found to have the best preservative properties because they have better properties regarding the barrier and inherent antimicrobial activity, which maintains albumen quality and prolongs the shelf life. The findings verify the fact that biodegradable chitosan and whey protein films provide an eco-friendly alternative to conventional egg preservation. Simultaneously, progress in the research on animal vocalizations has improved conservation efforts by ensuring accurate biodiversity tracking and preventing ecological disturbances at an early stage. Sound-related ecological measurements, further enriched by the acoustic recognition systems (AI-based), enable automated detection of species, evaluation of the quality of habitat, and the detection of degradation of ecosystem soundscapes introduced by pollution. These are technologies that are commonly applied in wildlife conservation that demonstrate the wider scope of applying biosensing and machine learning techniques to the study of food preservation, offering new avenues of real-time tracking of food spoilage, microbial activities, and environmental changes. Shelf life ; Whey protein ; Quality (philosophy) ; Food quality ; Food preservation ; Food safety ; Preservative ; Chitosan Nanocomposite Films for Food Packaging ; Animal Nutrition and Physiology ; Insect Utilization and Effects