jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Nisreen A. Nusair | Mithun Bhowmick
Source: Nanomaterials (article, 2026-01-20)
Field: Materials Science — Materials Chemistry

Carbon Dots and Biomimetic Membrane Systems: Mechanistic Interactions and Hybrid Nano-Lipid Platforms Carbon dots (CDs) have emerged as a distinct class of fluorescent nanomaterials distinguished by their tunable physicochemical properties, ultrasmall size, exceptional photoluminescence, versatile surface chemistry, high biocompatibility, and chemical stability, positioning them as promising candidates for biomedical applications ranging from sensing and imaging to drug delivery and theranostics. As CDs increasingly transition toward biological and clinical use, a fundamental understanding of their interactions with biological membranes becomes essential, as cellular membranes govern nanoparticle uptake, intracellular transport, and therapeutic performance. Model membrane systems, such as phospholipid vesicles and liposomes, offer controllable platforms to elucidate CD-membrane interactions by isolating key physicochemical variables otherwise obscured in complex biological environments. Recent studies demonstrate that CD surface chemistry, charge, heteroatom doping, size, and hydrophobicity, together with membrane composition, packing density, and phase behavior, dictate nanoparticle adsorption, insertion, diffusion, and membrane perturbation. In addition, CD-liposome hybrid systems have gained momentum as multifunctional nanoplatforms that couple the fluorescence and traceability of CDs with the encapsulation capacity and biocompatibility of lipid vesicles, enabling imaging-guided drug delivery and responsive theranostic systems. This review consolidates current insights into the mechanistic principles governing CD interactions with model membranes and highlights advances in CD-liposome hybrid nanostructures. By bridging fundamental nanoscale interactions with translational nanomedicine strategies, this work provides a framework for the rational design of next-generation CD-based biointerfaces with optimized structural, optical, and biological performance. Nanomedicine ; Drug delivery ; Membrane ; Biocompatibility ; Nanomaterials ; Biological membrane ; Nanocarriers ; Nanoparticle ; Membrane biophysics Carbon and Quantum Dots Applications ; Polydiacetylene-based materials and applications ; Supramolecular Self-Assembly in Materials
Authors: Viraj P. Nirwan | Bence Bajusz | Norbert Fabók | Marina Rudan Dimlić | Jelena Budimir | Tshepang Mqatywa | Miklós Gyöngy | Márton Ferencz | Dorottya Kocsis | Olexandr Bondarenko | Mariia Rolduhina | Miléna Lengyel | I. Antal | Rebecca Hengsbach | Franciska Erdő | Amir Fahmi
Source: Advanced Healthcare Materials (article, 2026-01-28)
Field: Materials Science — Biomaterials

Hybrid Nanofibers for Multimodal Accelerated Wound Healing Wound healing is a complex physiological process that demands multifunctional therapeutic approaches to ensure effective recovery. This study presents a straightforward approach using blend electrospinning to produce multimodal hybrid nanomaterials that accelerate the wound healing process. Poly(L-lactide-co-ε-caprolactone) (PLCL), cellulose acetate (CA), and polyethylene oxide (PEO) were utilized as biodegradable, compatible, and compliant polymers for generating nanofibers. Hybrid nanofibers functionalized with dexamethasone, ascorbic acid, and hyperbranched polymers introduce anti-inflammatory, regenerative, and antimicrobial properties. Pristine nanofibers with diameters of 0.818 ± 0.028 and 0.845 ± 0.039 µm were generated, while drug-loaded fibers with average diameters of 1.075 ± 0.055 and 1.235 ± 0.075 µm were obtained. The fibers demonstrated a porosity ranging from 72 % to 86 %. Further, attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR), thermogravimetric analysis (TGA), and contact angle, as well as zeta potential measurements, highlight the physicochemical properties of the fibers. In vivo studies of the nanofibers demonstrated that by day 11, there was a significant acceleration in wound healing. A remarkable acceleration was observed in cell proliferation, granulation, and remodeling phases. The findings emphasize the potential of multimodal hybrid nanofibers as advanced wound dressings and the importance of integrative strategies in wound care. Nanofiber ; Electrospinning ; Polymer ; Wound healing ; Cellulose acetate ; Thermogravimetric analysis ; Bacterial cellulose ; Methyl cellulose Electrospun Nanofibers in Biomedical Applications ; Wound Healing and Treatments ; Hydrogels: synthesis, properties, applications
Authors: Shakila Parveen Asrafali | Thirukumaran Periyasamy | Jaewoong Lee
Source: Polymers (article, 2026-01-10)
Field: Materials Science — Biomaterials

Biopolymer-Based Active and Intelligent Food Packaging: Recent Advances in Materials, Technologies, and Applications The food packaging industry is undergoing a paradigm shift from conventional petroleum-based materials toward sustainable biopolymer-based alternatives that offer enhanced functionality beyond mere containment and protection. This comprehensive review examines recent advances in the development of active and intelligent food packaging systems utilizing natural biopolymers including polysaccharides, proteins, and their composites. The integration of antimicrobial agents, natural colorimetric indicators, nanofillers, and advanced fabrication techniques has enabled the creation of multifunctional packaging materials capable of extending shelf life, monitoring food quality in real-time, and reducing environmental impact. This review organizes the current research on starch, chitosan-, cellulose-, pectin-, bacterial cellulose-, pullulan-, gelatin-, zein-, and dextran-based packaging systems, with particular emphasis on their physicochemical properties, functional performance, and practical applications for preserving various food products, including meat, fish, fruits, and other perishables. The challenges associated with mechanical strength, water resistance, scalability, and commercial viability are critically evaluated alongside emerging solutions involving chemical modifications, nanocomposite formulations, and innovative processing technologies. Future perspectives highlight the need for standardization, life cycle assessments, regulatory frameworks, and consumer acceptance studies to facilitate the transition from laboratory innovations to industrial-scale implementation of sustainable biopolymer packaging solutions. Active packaging ; Food packaging ; Food industry ; Plastic packaging ; Quality (philosophy) ; Life-cycle assessment ; Natural polymers ; Biopolymer Nanocomposite Films for Food Packaging ; Advanced Cellulose Research Studies ; Polysaccharides Composition and Applications
Authors: Maria Tarapoulouzi | Wenyang Jia | Anastasios Koidis
Source: Sensors (article, 2026-01-14)
Field: Chemistry — Analytical Chemistry

New Developments and Future Challenges of Non-Destructive Near-Infrared Spectroscopy Sensors in the Cheese Industry Near-infrared (NIR) spectroscopy has emerged as a pivotal non-destructive analytical technique within the cheese industry, offering rapid and precise insights into the chemical composition and quality attributes of various cheese types. This review explores the evolution of NIR spectral sensors, highlighting key technological advancements and their integration into cheese production processes as well as final products already in markets. In addition, the review discusses challenges such as calibration complexities, the influence of sample heterogeneity and the need for robust data and interpretation models through spectroscopy coupled with AI methods. The future potential of NIR spectral sensors, including real-time in-line monitoring and the development of portable devices for on-site analysis, is also examined. This review aims to provide a critical assessment of current NIR spectral sensors and their impact on the cheese industry, offering insights for researchers and industry professionals aiming to enhance quality control and innovation in cheese production, as well as authenticity and fraud studies. The review concludes that the integration of advanced NIR spectroscopy with AI represents a transformative approach for the cheese industry, enabling more accurate, efficient and sustainable quality assessment practices that can strengthen both production consistency and consumer trust. Quality (philosophy) ; Consistency (knowledge bases) ; Transformative learning ; Production (economics) ; Process analytical technology ; Quality assessment Spectroscopy and Chemometric Analyses ; Advanced Chemical Sensor Technologies ; Biopolymer Synthesis and Applications
Authors: Jacob Jan van der Wal | Roman Yu. Peshkov | Jorn D. Steen | Nadja A. Simeth | Stefano Crespi
Source: Angewandte Chemie International Edition (article, 2026-02-20)
Field: Chemistry — Organic Chemistry

The Nonadiabatic Nature of the Substituent Effects in Azobenzene The mechanism of thermal Z → E isomerization in azobenzenes has been debated for nearly a century, with inversion, rotation, and nonadiabatic pathways proposed to account for the nonlinear substituent dependence of the reaction rate. Here, we combine systematic kinetic analysis with temperature-dependent Eyring and isokinetic evaluations to experimentally evaluate the origin of this behavior. A series of para-substituted azobenzenes exhibits uniformly negative entropies of activation, suggesting a single nonadiabatic rotational mechanism is operative across all substituents. We found that the characteristic "V-shaped" Hammett correlation of azobenzene arises not from a mechanistic change, but from the inadequacy of the σ<sub>p</sub> scale to describe the stabilization of the open-shell, diradicaloid species involved in the nonadiabatic pathway. The Creary σ· radical parameter restores linearity, confirming that both electron-donating and electron-withdrawing substituents increase the reaction rate, stabilizing the diradicaloid species. Complementary calculations using different multireference spin-flip and single-reference approaches reproduce the experimental trends and support the predominance of the nonadiabatic pathway, whereas density functional theory (DFT) systematically fails to reproduce these trends. Isomerization ; Substituent ; Azobenzene ; Kinetic energy ; Density functional theory ; Thermal ; Reaction mechanism Synthesis and Properties of Aromatic Compounds ; Photochromic and Fluorescence Chemistry ; Cyclization and Aryne Chemistry
Authors: Yeongyu Kim | Kunwoo Park | Seonggon Han | Dongyan Chen | Donghun Kim | Gumin Kang | Seungbum Hong
Source: Journal of Materials Chemistry C (article, 2026-01-01)
Field: Materials Science — Materials Chemistry

Atomic force microscopy for ferroelectric materials research This review explores the role of AFM in bridging nanoscale domain physics and intrinsic properties. We highlight how multimodal characterization and active manipulation serve as essential strategies for studying ferroelectric materials. Bridging (networking) ; Ferroelectricity ; Atomic force microscopy ; Nanoscopic scale ; Characterization (materials science) ; Piezoresponse force microscopy ; Atomic units Ferroelectric and Piezoelectric Materials ; Force Microscopy Techniques and Applications ; Ferroelectric and Negative Capacitance Devices
Authors: Li Tian | Jiani Du | Jie Sun | Qian Liu | Xue Li | Yang Ou | Qing Qi | Yanan Liu | Fanbin Meng
Source: Advanced Functional Materials (article, 2026-01-07)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Bioinspired Free‐Space Architecture Engineering for Broadband Electromagnetic Absorption and Thermal Management in Graphene‐Based Fibrous Textiles ABSTRACT Next‐generation wearable electronics and stealth technologies demand lightweight, flexible materials that integrate broadband electromagnetic absorption with thermal management. Conventional microwave absorbers often suffer from narrow bandwidth, high thickness, and composition‐driven limitations. Here, we introduce a bioinspired free‐space architecture engineering strategy that programs hierarchical pore–cavity configurations within graphene‐based fibrous textiles. Guided by cavity resonance theory, hollow fibers and aerogel fibers are fabricated via multi‐axis wet‐spinning and directional drying, enabling precise impedance modulation and synergistic conduction–polarization losses. The optimized architectures deliver exceptional performance: RAHF‐2 achieves an effective absorption bandwidth ( EAB ) of 8.6 GHz with the minimum reflection loss value ( RL min ) = −32.8 dB, while RMAF‐5‐E reaches RL min = −59.1 dB and EAB = 8.5 GHz, and RMAF‐10‐EA exhibits strong absorption (−42.0 dB) at an ultrathin thickness of 2.0 mm. Beyond electromagnetic protection, these textiles demonstrate rapid light‐to‐heat conversion (65°C in 60 s), offering multifunctionality for adaptive thermal regulation. This work establishes a structural design paradigm for next‐generation metamaterial textiles, bridging electromagnetic stealth, wearable protection, and intelligent thermal management. Metamaterial ; Broadband ; Microwave ; Reflection loss ; Absorption (acoustics) ; Electronics ; Thermal ; Aerogel ; Bandwidth (computing) Electromagnetic wave absorption materials ; Thermal Radiation and Cooling Technologies ; Metamaterials and Metasurfaces Applications
Authors: Chenxue Su | Jia Che | Zehao Wu | Kai Li | Xiangyu Sun | Yulin Fang | Wenzheng Liu
Source: Foods (article, 2026-01-30)
Field: Chemistry — Analytical Chemistry

Development of a Dynamic Multi-Parameter Prediction Model for the Maturation Process of ‘Ugni Blanc’ Grapes Using Visible and Near-Infrared Spectroscopy In this study, the non-destructive determination of pH, total soluble solids (TSS), total acidity (TA), reducing sugars (RS), seed total phenolic content (TPCD), and skin total phenolic content (TPCN) in Ugni Blanc grapes was performed using visible/near-infrared (Vis/NIR) spectroscopy coupled with chemometric quantitative analysis. Diffuse reflectance spectra in the 400-1507 nm range were measured using a handheld Vis-NIR spectrometer, after which the dataset was partitioned using the SPXY algorithm, accounting for joint X-Y distances. Six spectral preprocessing methods and three modeling algorithms, Partial Least Squares (PLS), Support Vector Machine Regression (SVR), and Convolutional Neural Network (CNN), were used to construct quantitative models based on full-wavelength and feature-wavelength data. Feature-based models outperformed full-spectrum models for TA, RS, and TPCN, whereas full-spectrum models performed better for pH, TSS, and TPCD. The optimal models achieved Rp2 values of 0.940, 0.957, 0.913, 0.889, 0.917, and 0.871 and <i>RPD</i> values of 4.074, 4.798, 3.397, 2.998, 2.904, and 2.786, correspondingly. The findings highlight the applicability of Vis/NIR spectroscopy for the accurate and non-destructive prediction of key physicochemical indicators in Ugni Blanc grapes. Partial least squares regression ; Preprocessor ; Support vector machine ; Spectroscopy ; Convolutional neural network ; Diffuse reflectance infrared fourier transform ; Process (computing) ; Content (measure theory) ; Chemometrics Spectroscopy and Chemometric Analyses ; Soil Geostatistics and Mapping ; Remote Sensing in Agriculture
Authors: Nerea Pascual | Álvaro Martínez | Irantzu Erro | D. Astrain
Source: Energy Conversion and Management (article, 2026-01-08)
Field: Materials Science — Materials Chemistry

Multi-parameter and multi-objective optimisation of thermoelectric modules for enhanced performance in geothermal passive generators Geometrical optimisation studies of thermoelectric modules often overlook the significant influence of system-level components, particularly heat exchangers. This research addresses this critical gap by developing an integrated system-level optimisation approach, applied to a geothermal passive thermoelectric generator installed in Antarctica. The methodology is based on the premise that the thermal and electrical phenomena are interdependent, demanding a holistic design. For the first time, a comprehensive multi-objective, multi-parameter computational model for geometric optimisation of modules is presented, which incorporates all thermoelectric effects, temperature-dependent properties, and all system components. The framework simultaneously maximises electrical power output and minimises semiconductor material volume by adjusting the thermocouple length and cross-sectional area to their optimal values. Application to the Antarctic installation demonstrated that geometric optimisation yields energy production improvements from 3.7% to 12.6% with respect to the commercial modules used in the installation. These improvements correspond to configurations with leg lengths of 0.11 cm and 0.27 cm and cross-sectional areas of 0.023 cm 2 and 0.06 cm 2 , respectively. Crucially, an extended analysis revealed that while the source temperature difference does not affect optimal geometric parameters, the thermal resistances are paramount. Reducing the sum of heat exchanger thermal resistances by 26% increases optimisation potential by 60%, while also reducing semiconductor volume by 18.5%. These results demonstrate a system-level optimisation approach is essential. Findings indicate efforts must first prioritise optimising heat exchangers for the lowest thermal resistance. Subsequently, the optimal module geometry is determined by maximising the thermocouple cross-sectional area before adjusting the length for optimal thermal matching. • Experimentally validated computational model for thermoelectric generators. • Geometric optimisation of thermoelectric modules for a generator in Antarctica. • Enhancement of energy generation by up to 12.6% under real operating conditions. • Formulation of general design rules for thermoelectric generators below 100 °C. Thermocouple ; Thermoelectric generator ; Thermoelectric effect ; Heat exchanger ; Thermal ; Thermoelectric cooling ; Generator (circuit theory) ; Geothermal gradient ; Thermal energy Advanced Thermoelectric Materials and Devices ; Geothermal Energy Systems and Applications ; Integrated Energy Systems Optimization
Authors: Swase Dominic Terkimbi | Reuben Samson Dangana | Solomon Adomi Mbina | Ugwu Okechukwu Paul-Chima | Patrick Maduabuchi Aja | Regan Mujinya
Source: Discover Nano (article, 2026-01-08)
Field: Materials Science — Biomaterials

Nanoparticles in HIV treatment for improved drug delivery, clinical translation, and future direction HIV remains a major global health challenge with antiretroviral therapy (ART) effectively suppressing viral replication. However traditional ART does not eliminate viral reservoirs and is limited by systemic toxicity, long-term adherence burdens, and incomplete tissue penetration. These limitations highlight an important scientific problem in the inability of conventional ART to achieve durable remission or cure. Nanoparticle-mediated drug delivery systems have emerged as a transformative approach to address these limitations by improving drug solubility, stability, and targeted delivery to infected cells and viral sanctuaries such as the brain, lymphoid organs, and gastrointestinal mucosa. Different nanocarrier platforms including liposomes, polymeric nanoparticles, dendrimers, and lipid-based vesicles enable both passive and active targeting strategies. Functionalization with ligands such as antibodies, peptides, aptamers, and sugar moieties enhance cellular uptake, reduces off-target effects, and optimizes pharmacokinetics and biodistribution. Controlled-release formulations extend drug half-life and reduce dosing frequency, supporting long-acting regimens. Beyond drug delivery, nanoparticles also facilitate immunomodulatory therapies, therapeutic vaccines, and advanced gene-editing technologies such as CRISPR-Cas9. The convergence of nanotechnology, mRNA platforms, and artificial intelligence-driven drug development represents a paradigm shift toward individualized and precision HIV treatment. Despite these advances, significant translational challenges remain, including nanotoxicity, long-term safety, large-scale GMP manufacturing, regulatory barriers, and cost-effectiveness. Addressing these barriers is essential to unlock the full potential of nanoparticle-based strategies and translate them into equitable and sustainable clinical solutions. Nanocarriers ; Drug ; Drug delivery ; Targeted drug delivery ; Human immunodeficiency virus (HIV) ; Drug discovery ; Nanomedicine ; Clinical Practice Nanoparticle-Based Drug Delivery ; RNA Interference and Gene Delivery ; HIV Research and Treatment
Authors: Hyon Hee Kim | Suji Im | Jiyun Kim | Yebin Jo | Eunbi Hong | Soon Young Jang | Jiha Sung | Emanuela Jacchetti | Manuela Teresa Raimondi | Eun-Ju Ryu | Yeong-Jun Kim | Jaehyun Sim | SEYEON PARK
Source: Scientific Reports (article, 2026-01-17)
Field: Chemistry — Organic Chemistry

QAL333’s antitumor activity and predictive modeling: integrated transcriptomic-bioinformatic analysis reveals selective cytotoxicity and sensitivity determinants Despite significant advances in chemotherapy, tumor heterogeneity and resistance mechanisms continue to limit clinical efficacy, underscoring the need for novel compounds with mechanistic biomarkers that enable patient stratification. QAL333 is a newly synthesized isoindolin-1-one derivative identified as a promising anticancer candidate. We evaluated its activity across 15 human cancer and three non-malignant cell lines, as well as in zebrafish xenograft models. QAL333 exhibited potent and selective cytotoxicity in colorectal cancer, with IC₅₀ values in the low micromolar range (7.8 µM in SW620), while showing limited efficacy in triple-negative breast cancer (IC₅₀ > 90 µM). In vivo, QAL333 (20 µM) significantly suppressed tumor growth in SW620 xenografts, whereas MDA-MB-231 xenografts showed minimal response. Transcriptomic profiling revealed that QAL333 downregulated cell cycle regulators (CDK1, CDC25A, CCND2, CCNE2, and PCNA) and suppressed PI3K–Akt and p53 signaling in sensitive cells, while resistant cells activated NF-κB–driven stress pathways. By integrating drug-induced transcriptomic data with machine learning, we developed a composite pathway score derived from three KEGG pathways: Metabolic pathways, Proteoglycans in cancer, and Cytoskeleton in muscle cells. This score correlated strongly with IC₅₀ values across 16 lines (Pearson correlation coefficient = 0.737, p = 0.0011), providing a mechanistically interpretable biomarker for predicting sensitivity. These findings support QAL333 as a selective anticancer agent with translational biomarker potential. Secondary observations also indicated that QAL333 interferes with quorum sensing pathways, broadening its pharmacological relevance beyond the central focus of this study. Cytotoxicity ; Transcriptome ; Biomarker ; Zebrafish ; KEGG ; Signal transduction ; Cell culture ; Cell cycle ; Cell Synthesis and pharmacology of benzodiazepine derivatives ; HER2/EGFR in Cancer Research ; Signaling Pathways in Disease