jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Noura El‐Ahmady El‐Naggar | Asmaa Atallah El-Sawah | Mohamed F. El‐Mansy | Omar T. Elmessiry | Mohanad E. El-Saidy | Mostafa K. El-Sherbeny | Mohamed T. Sarhan | Aya Amin Elhefnawy | Shimaa R. Dalal
Source: Scientific Reports (article, 2024-02-25)
Field: Materials Science — Materials Chemistry

Process optimization for gold nanoparticles biosynthesis by Streptomyces albogriseolus using artificial neural network, characterization and antitumor activities Gold nanoparticles (GNPs) are highly promising in cancer therapy, wound healing, drug delivery, biosensing, and biomedical imaging. Furthermore, GNPs have anti-inflammatory, anti-angiogenic, antioxidants, anti-proliferative and anti-diabetic effects. The present study presents an eco-friendly approach for GNPs biosynthesis using the cell-free supernatant of Streptomyces albogriseolus as a reducing and stabilizing agent. The biosynthesized GNPs have a maximum absorption peak at 540 nm. The TEM images showed that GNPs ranged in size from 5.42 to 13.34 nm and had a spherical shape. GNPs have a negatively charged surface with a Zeta potential of - 24.8 mV. FTIR analysis identified several functional groups including C-H, -OH, C-N, amines and amide groups. The crystalline structure of GNPs was verified by X-ray diffraction and the well-defined and distinct diffraction rings observed by the selected area electron diffraction analysis. To optimize the biosynthesis of GNPs using the cell-free supernatant of S. albogriseolus, 30 experimental runs were conducted using central composite design (CCD). The artificial neural network (ANN) was employed to analyze, validate, and predict GNPs biosynthesis compared to CCD. The maximum experimental yield of GNPs (778.74 μg/mL) was obtained with a cell-free supernatant concentration of 70%, a HAuCl<sub>4</sub> concentration of 800 μg/mL, an initial pH of 7, and a 96-h incubation time. The theoretically predicted yields of GNPs by CCD and ANN were 809.89 and 777.32 μg/mL, respectively, which indicates that ANN has stronger prediction potential compared to the CCD. The anticancer activity of GNPs was compared to that of doxorubicin (Dox) in vitro against the HeP-G2 human cancer cell line. The IC<sub>50</sub> values of Dox and GNPs-based treatments were 7.26 ± 0.4 and 22.13 ± 1.3 µg/mL, respectively. Interestingly, treatments combining Dox and GNPs together showed an IC<sub>50</sub> value of 3.52 ± 0.1 µg/mL, indicating that they targeted cancer cells more efficiently. Streptomyces ; Artificial neural network ; Process (computing) ; Computer science ; Colloidal gold ; Characterization (materials science) ; Nanoparticle ; Biosynthesis ; Artificial intelligence ; Chemistry ; Biochemistry ; Nanotechnology ; Biology ; Materials science ; Gene ; Bacteria ; Genetics Nanoparticles: synthesis and applications ; Microbial Metabolism and Applications ; Computational Drug Discovery Methods
Authors: Jiahui Su | Yadong Yang | Caichao Wan | Xingong Li | Yaling Chai | Huayun Chai | Jianzhong Yuan | Yiqiang Wu
Source: Research (article, 2024-01-01)
Field: Materials Science — Biomaterials

A Novel Flame-Retardant, Smoke-Suppressing, and Superhydrophobic Transparent Bamboo Silica glass, known for its brittleness, weight, and non-biodegradable nature, faces challenges in finding suitable alternatives. Transparent wood, made by infusing polymers into wood, shows promise but is hindered by limited availability of wood in China and fire risks associated with its use. This study explores the potential of utilizing bamboo, which has a shorter growth cycle, as a valuable resource for developing flame-retardant, smoke-suppressing, and superhydrophobic transparent bamboo. A 3-layered flame-retardant barrier, composed of a top silane layer, an intermediate layer of SiO<sub>2</sub> formed through hydrolysis-condensation of Na<sub>2</sub>SiO<sub>3</sub> on the surface, and an inner layer of Na<sub>2</sub>SiO<sub>3</sub>, has been confirmed to be effective in reducing heat release, slowing flame spread, and inhibiting the release of combustible volatiles, toxic smoke, and CO. Compared to natural bamboo and other congeneric transparent products, the transparent bamboo displays remarkable superiority, with the majority of parameters being notably lower by an entire order of magnitude. It achieves a long ignition time of 116 s, low total heat release (0.7 MJ/m<sup>2</sup>), low total smoke production (0.063 m<sup>2</sup>), and low peak CO concentration (0.008 kg/kg). Moreover, when used as a substrate for perovskite solar cells, the transparent bamboo displays the potential to act as a light management layer, leading to a marked efficiency enhancement of 15.29%. The excellent features of transparent bamboo make it an enticing choice for future advancements in flame-retardant glasses and optical devices. Fire retardant ; Bamboo ; Smoke ; Materials science ; Composite material ; Chemistry ; Organic chemistry Advanced Cellulose Research Studies ; Lignin and Wood Chemistry ; Natural Fiber Reinforced Composites
Authors: Marija Branković | Fatima Živić | Nenad Grujović | Ivan Stojadinovic | Strahinja Milenković | Nikola Kotorčević
Source: Biomimetics (article, 2024-03-11)
Field: Materials Science — Biomaterials

Review of Spider Silk Applications in Biomedical and Tissue Engineering This review will present the latest research related to the production and application of spider silk and silk-based materials in reconstructive and regenerative medicine and tissue engineering, with a focus on musculoskeletal tissues, and including skin regeneration and tissue repair of bone and cartilage, ligaments, muscle tissue, peripheral nerves, and artificial blood vessels. Natural spider silk synthesis is reviewed, and the further recombinant production of spider silk proteins. Research insights into possible spider silk structures, like fibers (1D), coatings (2D), and 3D constructs, including porous structures, hydrogels, and organ-on-chip designs, have been reviewed considering a design of bioactive materials for smart medical implants and drug delivery systems. Silk is one of the toughest natural materials, with high strain at failure and mechanical strength. Novel biomaterials with silk fibroin can mimic the tissue structure and promote regeneration and new tissue growth. Silk proteins are important in designing tissue-on-chip or organ-on-chip technologies and micro devices for the precise engineering of artificial tissues and organs, disease modeling, and the further selection of adequate medical treatments. Recent research indicates that silk (films, hydrogels, capsules, or liposomes coated with silk proteins) has the potential to provide controlled drug release at the target destination. However, even with clear advantages, there are still challenges that need further research, including clinical trials. Spider silk ; SILK ; Fibroin ; Tissue engineering ; Self-healing hydrogels ; Regeneration (biology) ; Regenerative medicine ; Drug delivery ; Biomedical engineering ; Nanotechnology ; Materials science ; Biology ; Medicine ; Cell biology ; Stem cell Silk-based biomaterials and applications ; Electrospun Nanofibers in Biomedical Applications ; Biochemical and Structural Characterization
Authors: Shukui Zhang | Hanxue Jiao | Yan Chen | Ruotong Yin | Xinning Huang | Qianru Zhao | Chong Tan | Shenyang Huang | Hugen Yan | Tie Lin | Hong Shen | Jun Ge | Xiangjian Meng | Weida Hu | Ning Dai | Xudong Wang | Junhao Chu | Jianlu Wang
Source: Nature Communications (article, 2024-08-16)
Field: Materials Science — Materials Chemistry

Multi-dimensional optical information acquisition based on a misaligned unipolar barrier photodetector Acquiring multi-dimensional optical information, such as intensity, spectrum, polarization, and phase, can significantly enhance the performance of photodetectors. Incorporating these dimensions allows for improved image contrast, enhanced recognition capabilities, reduced interference, and better adaptation to complex environments. However, the challenge lies in obtaining these dimensions on a single photodetector. Here we propose a misaligned unipolar barrier photodetector based on van der Waals heterojunction to address this issue. This structure enables spectral detection by switching between two absorbing layers with different cut-off wavelengths for dual-band detection. For polarization detection, anisotropic semiconductors like black phosphorus and black arsenic phosphorus inherently possess polarization-detection capabilities without additional complex elements. By manipulating the crystal direction of these materials during heterojunction fabrication, the device becomes sensitive to incident light at different polarization angles. This research showcases the potential of the misaligned unipolar barrier photodetector in capturing multi-dimensional optical information, paving the way for next-generation photodetectors. Photodetector ; Optoelectronics ; Heterojunction ; Polarization (electrochemistry) ; Materials science ; Semiconductor ; Optics ; Physics 2D Materials and Applications ; Perovskite Materials and Applications ; Gas Sensing Nanomaterials and Sensors
Authors: Valeria Ferrara | Caterina Perfili | Giulia Artemi | Brunella Iacolino | Francesca Sciandra | Giordano Perini | Laura Fusco | Maksym Pogorielov | Lucia Gemma Delogu | Massimiliano Papi | Marco De Spirito | Valentina Palmieri
Source: Nanoscale (review, 2024-01-01)
Field: Materials Science — Materials Chemistry

Advanced approaches in skin wound healing – a review on the multifunctional properties of MXenes in therapy and sensing In recent years, the use of MXenes, a class of two-dimensional materials composed of transition metal carbides, nitrides, or carbonitrides, has shown significant promise in the field of skin wound healing. This review explores the multifunctional properties of MXenes, focusing on their electrical conductivity, photothermal effects, and biocompatibility in this field. MXenes have been utilized to develop advanced wound healing devices such as hydrogels, patches, and smart bandages for healing examination. These devices offer enhanced antibacterial activity, promote tissue regeneration, and provide real-time monitoring of parameters. The review highlights the synthesis methods, chemical features, and biological effects of MXenes, emphasizing their role in innovative skin repair strategies. Additionally, it discusses the potential of MXene-based sensors for humidity, pH, and temperature monitoring, which are crucial for preventing infections and complications in wound healing. The integration of MXenes into wearable devices represents a significant advancement in wound management, promising improved clinical outcomes and enhanced quality of life for patients. MXenes ; Biocompatibility ; Wound healing ; Materials science ; Nanotechnology ; Regeneration (biology) ; Biomedical engineering ; Medicine ; Surgery ; Biology MXene and MAX Phase Materials ; Advanced Sensor and Energy Harvesting Materials ; Graphene and Nanomaterials Applications
Authors: Imran Mir Chohan | Azlan Ahmad | Nabihah Sallih | Naraindas Bheel | Waleligne Molla Salilew | Abdulrazak H. Almaliki
Source: Scientific Reports (article, 2024-07-17)
Field: Materials Science — Materials Chemistry

Effect of seawater salinity, pH, and temperature on external corrosion behavior and microhardness of offshore oil and gas pipeline: RSM modelling and optimization This research aims to investigate the effects of seawater parameters like salinity, pH, and temperature on the external corrosion behaviour and microhardness of offshore oil and gas carbon steel pipes. The immersion tests were performed for 28 days following ASTM G-1 standards, simulating controlled artificial marine environments with varying pH levels, salinities, and temperatures. Besides, Field emission scanning electron microscopy (FESEM) analysis is performed to study the corrosion morphology. Additionally, a Vickers microhardness tester was used for microhardness analysis. The results revealed that an increase in salinity from 33.18 to 61.10 ppt can reduce the corrosion rate by 28%. In contrast, variations in seawater pH have a significant effect on corrosion rate, with a pH decrease from 8.50 to 7 causing a 42.54% increase in corrosion rate. However, the temperature of seawater was found to be the most prominent parameter, resulting in a 76.13% increase in corrosion rate and a 10.99% reduction in the microhardness of offshore pipelines. Moreover, the response surface methodology (RSM) modelling is used to determine the optimal seawater parameters for carbon steel pipes. Furthermore, the desirability factor for these parameters was 0.999, and the experimental validation displays a good agreement with predicted model values, with around 4.65% error for corrosion rate and 1.36% error for microhardness. Corrosion ; Seawater ; Indentation hardness ; Salinity ; Carbon steel ; Materials science ; Metallurgy ; Submarine pipeline ; Artificial seawater ; Geology ; Geotechnical engineering ; Microstructure ; Oceanography Corrosion Behavior and Inhibition ; Hydrogen embrittlement and corrosion behaviors in metals ; Non-Destructive Testing Techniques
Authors: Yi Hsiao | Haijian Zhang | Ginny Xiaohe Li | Yamei Deng | Fengchao Yu | Hossein Valipour Kahrood | Joel R. Steele | Ralf B. Schittenhelm | Alexey I. Nesvizhskii
Source: bioRxiv (Cold Spring Harbor Laboratory) (preprint, 2024-03-11)
Field: Chemistry — Spectroscopy

Analysis and visualization of quantitative proteomics data using FragPipe-Analyst The FragPipe computational proteomics platform is gaining widespread popularity among the proteomics research community because of its fast processing speed and user-friendly graphical interface. Although FragPipe produces well-formatted output tables that are ready for analysis, there is still a need for an easy-to-use and user-friendly downstream statistical analysis and visualization tool. FragPipe-Analyst addresses this need by providing an R shiny web server to assist FragPipe users in conducting downstream analyses of the resulting quantitative proteomics data. It supports major quantification workflows including label-free quantification, tandem mass tags, and data-independent acquisition. FragPipe-Analyst offers a range of useful functionalities, such as various missing value imputation options, data quality control, unsupervised clustering, differential expression (DE) analysis using Limma, and gene ontology and pathway enrichment analysis using Enrichr. To support advanced analysis and customized visualizations, we also developed FragPipeAnalystR, an R package encompassing all FragPipe-Analyst functionalities that is extended to support site-specific analysis of post-translational modifications (PTMs). FragPipe-Analyst and FragPipeAnalystR are both open-source and freely available. Computer science ; Visualization ; Workflow ; Cluster analysis ; Proteomics ; Graphical user interface ; Downstream (manufacturing) ; Data visualization ; Python (programming language) ; Data mining ; Data science ; Database ; Artificial intelligence ; Engineering Advanced Proteomics Techniques and Applications ; Bioinformatics and Genomic Networks ; Metabolomics and Mass Spectrometry Studies
Authors: John S. McCloy | Brian J. Riley | Malin C. Dixon Wilkins | Jonathan S. Evarts | John Bussey | John D. Vienna | Paul A. Bingham | Daniel J. Gregg | Michael I. Ojovan | Sophie Schuller | Kazuyoshi Uruga | Damien Perret | Élise Régnier | Isabelle Giboire | Wooyong Um | Kai Xu | Ashutosh Goel | Albert A. Kruger
Source: Materials Today (article, 2024-09-25)
Field: Materials Science — Materials Chemistry

International perspectives on glass waste form development for low-level and intermediate-level radioactive waste The global transition to low-carbon energy sources will require a significant contribution of nuclear energy to achieve emission goals. Low-level radioactive wastes (LLW) and intermediate-level radioactive wastes (ILW) are created in various phases of the nuclear fuel cycle for power generation, as well as from nuclear accidents, legacy weapons production, contaminated site decommissioning, and other nuclear activities such as radiopharmaceutical production. In this review, we will summarize recent developments, state-of-the-art glass formulations, and thermal treatment process developments for vitrification of nuclear LLW and ILW from programs in Europe, Asia, Australia, and North America. Throughout, we will discuss the selection of glass over other possible waste forms and any special processing considerations due to the nature of the waste. The characteristics of the wastes, such as mixed technological waste, waste coming from dismantling of reprocessing facilities, site decommissioning, and accident site decontamination, are important considerations. This is balanced with the suite of technologies available to vitrify these wastes, e.g., variations of incineration, in-can melting, and plasma treatment. Glass properties and microstructural aspects are compared to give an overview of the versatility of packaging matrices, such as homogeneous glasses, composites, and crystalline matrices. The volume and heterogeneity of the waste, specific radionuclide content, and solubility of components in silicate melts, all factor into the selection of a given waste form, processing route, and technology. Case studies include examples from the United States, United Kingdom, the Russian Federation, France, Australia, Japan, Korea, and China. Nuclear decommissioning ; Vitrification ; Radioactive waste ; Waste management ; Nuclear transmutation ; Nuclear fuel cycle ; High-level waste ; Spent nuclear fuel ; Environmental science ; Incineration ; Nuclear fuel ; Glass recycling ; Hazardous waste ; Materials science ; Nuclear engineering ; Engineering Nuclear materials and radiation effects ; Recycling and utilization of industrial and municipal waste in materials production ; Glass properties and applications
Authors: Wentao Yuan | Bingwei Chen | Zhongkang Han | Ruiyang You | Ying Jiang | Rui Qi | Guanxing Li | Hanglong Wu | M. V. Ganduglia-Pirovano | Yong Wang
Source: Nature Communications (article, 2024-02-22)
Field: Materials Science — Surfaces, Coatings and Films

Direct in-situ insights into the asymmetric surface reconstruction of rutile TiO2 (110) The reconstruction of rutile TiO<sub>2</sub> (110) holds significant importance as it profoundly influences the surface chemistry and catalytic properties of this widely used material in various applications, from photocatalysis to solar energy conversion. Here, we directly observe the asymmetric surface reconstruction of rutile TiO<sub>2</sub> (110)-(1×2) with atomic-resolution using in situ spherical aberration-corrected scanning transmission electron microscopy. Density functional theory calculations were employed to complement the experimental observations. Our findings highlight the pivotal role played by repulsive electrostatic interaction among the small polarons -formed by excess electrons following the removal of neutral oxygen atoms- and the subsequent surface relaxations induced by these polarons. The emergence and disappearance of these asymmetric structures can be controlled by adjusting the oxygen partial pressure. This research provides a deeper understanding, prediction, and manipulation of the surface reconstructions of rutile TiO<sub>2</sub> (110), holding implications for a diverse range of applications and technological advancements involving rutile-based materials. Rutile ; Surface reconstruction ; Polaron ; Materials science ; In situ ; Chemical physics ; Density functional theory ; Nanotechnology ; Transmission electron microscopy ; Electron ; Photocatalysis ; Oxygen ; Surface (topology) ; Catalysis ; Chemical engineering ; Chemistry ; Computational chemistry ; Physics Electron and X-Ray Spectroscopy Techniques ; Copper-based nanomaterials and applications ; Electronic and Structural Properties of Oxides
Authors: Giulia Giubertoni | Liru Feng | K. Klein | Guido Giannetti | Luco Rutten | Yeji Choi | Anouk van der Net | Gerard Castro-Linares | Federico Caporaletti | Dimitra Micha | Johannes Hunger | Antoine Deblais | Daniel Bonn | Nico A. J. M. Sommerdijk | Anđela Šarić | Ioana M. Ilie | Gijsje H. Koenderink | Sander Woutersen
Source: Proceedings of the National Academy of Sciences (article, 2024-03-07)
Field: Materials Science — Biomaterials

Elucidating the role of water in collagen self-assembly by isotopically modulating collagen hydration Water is known to play an important role in collagen self-assembly, but it is still largely unclear how water-collagen interactions influence the assembly process and determine the fibril network properties. Here, we use the H[Formula: see text]O/D[Formula: see text]O isotope effect on the hydrogen-bond strength in water to investigate the role of hydration in collagen self-assembly. We dissolve collagen in H[Formula: see text]O and D[Formula: see text]O and compare the growth kinetics and the structure of the collagen assemblies formed in these water isotopomers. Surprisingly, collagen assembly occurs ten times faster in D[Formula: see text]O than in H[Formula: see text]O, and collagen in D[Formula: see text]O self-assembles into much thinner fibrils, that form a more inhomogeneous and softer network, with a fourfold reduction in elastic modulus when compared to H[Formula: see text]O. Combining spectroscopic measurements with atomistic simulations, we show that collagen in D[Formula: see text]O is less hydrated than in H[Formula: see text]O. This partial dehydration lowers the enthalpic penalty for water removal and reorganization at the collagen-water interface, increasing the self-assembly rate and the number of nucleation centers, leading to thinner fibrils and a softer network. Coarse-grained simulations show that the acceleration in the initial nucleation rate can be reproduced by the enhancement of electrostatic interactions. These results show that water acts as a mediator between collagen monomers, by modulating their interactions so as to optimize the assembly process and, thus, the final network properties. We believe that isotopically modulating the hydration of proteins can be a valuable method to investigate the role of water in protein structural dynamics and protein self-assembly. Algorithm ; Artificial intelligence ; Computer science ; Materials science Collagen: Extraction and Characterization ; Marine Biology and Environmental Chemistry