jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Lixia Yang | Fei Wang | Jiahao Liao | Zhaofeng Chen | Zongde Kou
Source: Nanomaterials (article, 2022-09-28)
Field: Materials Science — Ceramics and Composites

Microstructure and Mechanical Properties of Unidirectional, Laminated Cf/SiC Composites with α-Al2O3 Nanoparticles as Filler The effects of an α-Al<sub>2</sub>O<sub>3</sub> nanoparticle filler in the SiC matrix on the mechanical properties and failure mechanism of the unidirectional, laminated carbon fiber-reinforced SiC composites were investigated in this work. First, α-Al<sub>2</sub>O<sub>3</sub> nanoparticles were added to the carbon fiber bundles using a slurry impregnation method, and then the C<i><sub>f</sub></i>/SiC composite with an α-Al<sub>2</sub>O<sub>3</sub> nanoparticle filler (C<i><sub>f</sub></i>/SiC-Al<sub>2</sub>O<sub>3</sub>) was fabricated using a precursor infiltration and pyrolysis method. The microstructure of the C<i><sub>f</sub></i>/SiC-Al<sub>2</sub>O<sub>3</sub> composite showed chemical compatibility between the α-Al<sub>2</sub>O<sub>3</sub> and the pyrolysis SiC. The C<i><sub>f</sub></i>/SiC-Al<sub>2</sub>O<sub>3</sub> composite with a low porosity of ~6.67% achieved a good flexural strength of 629.3 MPa and a good fracture toughness of 25.2 MPa·m<sup>1/2</sup>. The interlaminar shear strength of the C<i><sub>f</sub></i>/SiC-Al<sub>2</sub>O<sub>3</sub> composite was 11.7 MPa. The SiC-Al<sub>2</sub>O<sub>3</sub> matrix also presented a considerable Young's modulus of 138.2 ± 8.66 GPa and hardness of 10.3 ± 1.03 GPa. Further analysis indicated that the good mechanical properties with the addition of an α-Al<sub>2</sub>O3 filler were not only related to the dense matrix and the improvement of the mechanical properties of the matrix. They also originated from the thermal residual compressive stress in the SiC matrix close to the α-Al<sub>2</sub>O<sub>3</sub> nanoparticles caused by the thermal expansion mismatch, which could reflect and close the cracks in the matrix. The findings of this study provide more methods for designing new composites exhibiting a good performance. Materials science ; Composite material ; Microstructure ; Composite number ; Flexural strength ; Fracture toughness ; Nanoparticle ; Thermal expansion ; Toughness ; Porosity Advanced ceramic materials synthesis ; Aluminum Alloys Composites Properties ; Advanced materials and composites
Authors: Pei Pei | Rui Zou | Chengming Zhang | Menghui Yu | Sandra Chang | Tan Jia | Jiaxin Li | Xuehua Li | Shizhong Li
Source: BioResources (article, 2022-11-02)
Field: Materials Science — Polymers and Plastics

Optimization of alkali-treated banana pseudo-stem fiber/PBAT/PLA bio-composite for packaging application using response surface methodology The objective of this research was to prepare an optimized bio-composite for packaging based on alkali-treated banana pseudo-stem fiber (BPSF), PBAT, and PLA using response surface methodology (RSM). The effects of three factors, i.e., alkali-treated BPSF (0.8 to 2.4 g), PBAT (0.75 to 2.25 g), and PLA (1.6 to 3.2 g) on two dependent variables, i.e., bending strength and tensile strength of bio-composite, were investigated. Box-Behnken design (BBD) provided the combination for an optimum composite, which was 1.15 g of alkali-treated BPSF, 2.09 g of PBAT, and 2.66 g of PLA, respectively. The bending strength and tensile strength for alkali-treated BPSF/PBAT/PLA composite were 32.62 MPa and 30.91 MPa, which was 20.50% and 16.51% higher than native BPSF/PBAT/PLA composite. The bio-composite prepared using the optimized results was further characterized by Fourier transform infrared spectroscopy (FTIR), thermogravimetry, scanning electron microscopy (SEM), mechanical testing, contact angles, and water absorption tests. Analyses showed that alkali-treatment could improve the adhesion and compatibility of BPSF in the polymer matrix. These outcomes were associated with the use of treated-BPSF for better mechanical strength and lower hygroscopicity. This result demonstrated that alkali-treated agricultural residue and degradable polymer could be used to prepare composite materials for green packaging application. Materials science ; Composite number ; Ultimate tensile strength ; Response surface methodology ; Fourier transform infrared spectroscopy ; Composite material ; Polymer ; Alkali metal ; Scanning electron microscope ; Box–Behnken design ; Fiber ; Chemical engineering ; Chemistry ; Organic chemistry ; Chromatography Natural Fiber Reinforced Composites ; Nanocomposite Films for Food Packaging ; biodegradable polymer synthesis and properties
Authors: A. G. Melnikov | Denis A. Bykov | Alexey S. Varezhnikov | Victor V. Sysoev | Gennady V. Melnikov
Source: Sensors (article, 2022-02-14)
Field: Chemistry — Electrochemistry

Toward a Selective Analysis of Heavy Metal Salts in Aqueous Media with a Fluorescent Probe Array Detection of heavy meals in aqueous media challenges worldwide research in developing particularly fast and affordable methods. Fluorescent sensors look to be an appropriate instrument for such a task, as recently they have been found to have made large progress in the detection of chemical analytes, primarily in the environment, along with biological fluids, which still suffer from not enough selectivity. In this work, we propose a new fluorescent method to selectively recognize heavy metals in an aqueous solution via employing an array of several fluorescent probes: acridine yellow, eosin, and methylene blue, which were taken as examples, being sensitive to a microsurrounding of the probe molecules. The exemplary sensor array generated six channels of spectral information through the use of various combinations of excitation and detection wavelengths. Following the known multisensor approach, we applied a linear discriminant analysis to selectively distinguish the vector signals from the sensor array from salts of heavy metals-Cu, Pb, Zn, Cd, and Cz-at the concentration ranges of 2.41 × 10<sup>-6</sup>-1.07 × 10<sup>-5</sup> M, 2.8 × 10<sup>-5</sup>-5.87 × 10<sup>-4</sup> M, 1.46 × 10<sup>-6</sup>-6.46 × 10<sup>-6</sup> M, 1.17 × 10<sup>-8</sup>-5.2 × 10<sup>-8</sup> M, and 2.11 × 10<sup>-6</sup>-9.33 × 10<sup>-6</sup> M, respectively. The suggested approach was found to be promising due to it employing only one cuvette containing the test solution, simplifying a sample preparation when compared to preparing a variety of solutions in tests with single fluorescence probes. Fluorescence ; Aqueous medium ; Metal ; Aqueous solution ; Chemistry ; Heavy metals ; Nanotechnology ; Environmental chemistry ; Combinatorial chemistry ; Materials science ; Organic chemistry ; Optics ; Physics Electrochemical Analysis and Applications ; Molecular Sensors and Ion Detection ; Analytical chemistry methods development
Authors: Yue Hu | Kaili Jiang | K.M. Liew | Luwen Zhang
Source: Research (article, 2022-01-01)
Field: Materials Science — Surfaces, Coatings and Films

Nanoarray-Embedded Hierarchical Surfaces for Highly Durable Dropwise Condensation Durable dropwise condensation of saturated vapor is of significance for heat transfer and energy saving in extensive industrial applications. While numerous superhydrophobic surfaces can promote steam condensation, maintaining discrete microdroplets on surfaces without the formation of a flooded filmwise condensation at high subcooling remains challenging. Here, we report the development of carbon nanotube array-embedded hierarchical composite surfaces that enable ultra-durable dropwise condensation under a wide range of subcooling (Δ<i>T</i> <sub>sub</sub> = 8 K-38 K), which outperforms existing nanowire surfaces. This performance stems from the combined strategies of the hydrophobic nanostructures that allow efficient surface renewal and the patterned hydrophilic micro frames that protect the nanostructures and also accelerate droplet nucleation. The synergistic effects of the composite design ensure sustained Cassie wetting mode and capillarity-governed droplet mobility (Bond number < 0.055) as well as the large specific volume of condensed droplets, which contributes to the enhanced condensation heat transfer. Our design provides a feasible alternative for efficiently transferring heat in a vapor environment with relatively high temperatures through the tunable multiscale morphology. Materials science ; Condensation ; Wetting ; Nanotechnology ; Nucleation ; Subcooling ; Nanowire ; Surface energy ; Composite number ; Heat transfer ; Chemical engineering ; Composite material ; Thermodynamics ; Chemistry ; Organic chemistry Surface Modification and Superhydrophobicity ; Nanomaterials and Printing Technologies ; Advanced Sensor and Energy Harvesting Materials
Authors: Ho‐Nyeon Lee | Dong-Jin Kim
Source: Nanomaterials (article, 2022-10-13)
Field: Materials Science — Materials Chemistry

Quantum Mechanical Analysis Based on Perturbation Theory of CdSe/ZnS Quantum-Dot Light-Emission Properties A simulation of quantum dot (QD) energy levels was designed to reproduce a quantum mechanical analytic method based on perturbation theory. A Schrödinger equation describing an electron-hole pair in a QD was solved, in consideration of the heterogeneity of the material parameters of the core and shell. The equation was solved numerically using single-particle basis sets to obtain the eigenstates and energies. This approach reproduced an analytic solution based on perturbation theory, while the calculation was performed using a numerical method. Owing to the effectiveness of the method, QD behavior according to the core diameter and external electric field intensity could be investigated reliably and easily. A 9.2 nm diameter CdSe/ZnS QD with a 4.2 nm diameter core and 2.5 nm thick shell emitted a 530 nm green light, according to an analysis of the effects of core diameter on energy levels. A 4 nm redshift at 5.4×105 V/cm electric field intensity was found while investigating the effects of external electric field on energy levels. These values agree well with previously reported experimental results. In addition to the energy levels and light emission wavelengths, the spatial distributions of wavefunctions were obtained. This analysis method is widely applicable for studying QD characteristics with varying structure and material compositions and should aid the development of high-performance QD technologies. Quantum dot ; Electric field ; Wave function ; Physics ; Eigenvalues and eigenvectors ; Perturbation theory (quantum mechanics) ; Electron ; Wavelength ; Schrödinger equation ; Atomic physics ; Computational physics ; Molecular physics ; Quantum mechanics Quantum Dots Synthesis And Properties ; Semiconductor Quantum Structures and Devices ; Chalcogenide Semiconductor Thin Films
Authors: Guowei Zhang | Mingjie Wang | Huan Yu | Hong Xu | An Wan
Source: Nanomaterials (article, 2022-09-19)
Field: Materials Science — Materials Chemistry

Molecular Dynamics and Experimental Investigation on the Interfacial Binding Mechanism in the Fe/Cu1−x-Nix Bimetallic Interface To systematically investigate the diffusion behavior of Fe/Cu bimetallic materials and the influence of the Ni element on the diffusion and mechanical properties of the Fe/Cu bimetallic interface, the diffusion distance, diffusion coefficient, and strain-stress process based on molecular dynamics (MD) calculations and experimental testing were analyzed. All simulation results indicated that the liquid Cu matrix had a higher diffusion coefficient but hardly diffused into the Fe matrix, and the solid Fe matrix had a smaller diffusion coefficient but diffused deep into the Cu matrix at the same temperature. Compared with the initial state, the addition of nickel atoms to the Cu matrix favored the improvement of the diffusion coefficient and the diffusion distance of Fe/Cu bimetallic materials. Moreover, we found that the diffusion distance and the yield strength simultaneously increased and then decreased with the increase in Ni atoms, which is in agreement with the experimental test results. These improvements in the diffusion and mechanical properties were attributed to the enrichment of Ni atoms at the interface, but excessive Ni content resulted in deteriorated properties. Finally, our research described the enhancement mechanism of the addition of nickel atoms to the Fe/Cu bimetallic diffusion system. An analysis of the contributions of the diffusion distance, the diffusion coefficient, and the yield strength revealed that the diffusion properties of nickel atoms play an important role in Fe/Cu bimetallic materials. Bimetallic strip ; Diffusion ; Materials science ; Nickel ; Effective diffusion coefficient ; Yield (engineering) ; Atomic diffusion ; Grain boundary diffusion coefficient ; Molecular dynamics ; Chemical physics ; Analytical Chemistry (journal) ; Metallurgy ; Thermodynamics ; Crystallography ; Chemistry ; Microstructure ; Computational chemistry ; Metal ; Organic chemistry Microstructure and mechanical properties ; Aluminum Alloys Composites Properties ; Aluminum Alloy Microstructure Properties
Authors: Xueting Ma | Huaping Luo | Fei ZHANG | Feng GAO
Source: Food Science and Technology (article, 2022-01-01)
Field: Chemistry — Analytical Chemistry

A bibliometric and visual analysis of fruit quality detection research To understand the research status and current dynamics of fruit quality detection and objectively reflect the influence of different countries, research institutions and authors in this field, the software CiteSpace was used to bibliometrically and visually analyze the relevant literature on fruit quality detection in Web of Science (WoS) database from 1982 to 2021. The results showed that the number of publications on fruit quality detection showed a trend of slow in the early stage, rapid in the middle stage and intensified in the late stage. China has the largest number of international publications, accounting for 21.80% of the WoS database, but its intermediary centrality is inferior to that of the United States, Germany, Italy and Spain; the United States is at the core of international cooperation, establishing cooperative relations with most countries; through keywords co-occurrence network and keyword clustering, it is concluded that the research mainly focuses on fruit quality detection based on spectral technology or electronic nose technology, fruit composition detection based on high-performance liquid chromatography (HPLC), fruit edible safety detection, and genetic analysis of fruit quality-related traits. Bibliometrics and visual analysis of this fruit quality detection research can provide a certain reference for relevant researchers. Bibliometrics ; Quality (philosophy) ; Web of science ; Computer science ; Biology ; Library science ; MEDLINE Spectroscopy and Chemometric Analyses ; Smart Agriculture and AI ; Date Palm Research Studies
Authors: Yasiru Ranasinghe | H.M.H.K. Weerasooriya | Sanjaya Herath | M. P. B. Ekanayake | Vijitha Herath | Roshan Godaliyadda | Terrence Madhujith
Source: IEEE Access (article, 2022-01-01)
Field: Chemistry — Analytical Chemistry

Transmittance Multispectral Imaging for Reheated Coconut Oil Differentiation Oil reheating has a significant impact on global health due to its extensive consumption, especially in South Asia, and severe health risks. Nevertheless, food image analysis using multispectral imaging systems(MISs) has not been applied to oil reheating analysis despite their vast application in rapid food quality screening. To that end, the paper discusses the application of a low-cost MSI to estimate the ‘reheat cycle count classes’ (number of times an oil sample is recursively heated) and identify ‘critical classes’ at which substantial changes in the oil sample have materialized. Firstly, the reheat cycle count class is estimated with Bhattacharyya distance between the reheated and a pure oil sample as the input. The classification was performed using a support vector machine classifier that resulted in an accuracy of 83.34% for reheat cycle count identification. Subsequently, an unsupervised clustering procedure was introduced using a modified spectral clustering (SC) algorithm to distinguish critical classes under reheating. In addition, laboratory experiments were performed to ascertain the ramifications of the reheating process with a chemical analysis. The chemical analysis of the coconut oil samples used in the experiment coincided with the image analysis results and was statistically significant ( <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$p &lt; 0.05$ </tex-math></inline-formula> ). Accordingly, the proposed work closes the gap for using multispectral imaging for oil reheating and proposes a novel algorithm for unsupervised detection of critical property changes in the oil. Hence, the proposed research work is significant in its practical implications, contribution to food image analysis, and unsupervised classification mechanisms. Multispectral image ; Cluster analysis ; Computer science ; Artificial intelligence ; Multispectral pattern recognition ; Pattern recognition (psychology) ; Bhattacharyya distance ; Coconut oil ; Classifier (UML) ; Sample (material) ; Process engineering ; Food science ; Chemistry ; Chromatography ; Engineering Spectroscopy and Chemometric Analyses ; Advanced Chemical Sensor Technologies ; Edible Oils Quality and Analysis
Authors: David Ribar | Tjaša Rijavec | Irena Kralj Cigić
Source: Journal of Analytical Science & Technology (article, 2022-04-08)
Field: Chemistry — Spectroscopy

An exploration into the use of Hansen solubility parameters for modelling reversed-phase chromatographic separations Abstract The suitability of Hansen solubility parameters as descriptors for modelling analyte retention during reversed-phase chromatographic experiments was investigated. A novel theoretical model using Hansen solubility parameters as the basis for a complete mathematical derivation of the model was developed. The theoretical model also includes the cavitation volumes of the analytes, which were calculated using ab initio density functional theory methods. A set of three homologous phthalates was used for experimental data collection and subsequent model construction. The training error and the generalization error of the model were additionally evaluated using a range of chemically diverse analytes. Statistical evaluation of the results revealed that the model is suitable for analyte retention prediction but is limited to the analytes used in the model construction. Therefore, the resulting theoretical model cannot be easily generalized. A retention anomaly attributed to the column temperature and mobile phase composition was experimentally observed and mathematically investigated. Analyte ; Generalization ; Solubility ; Chemistry ; Phase (matter) ; Chromatography ; Hildebrand solubility parameter ; Biological system ; Mathematics ; Organic chemistry Analytical Chemistry and Chromatography ; Chromatography in Natural Products ; Crystallization and Solubility Studies
Authors: Abbes Benchadlı | T. Mellal | Tarik Attar | Boumédiène Dali Youcef | Esma Choukchou-Braham
Source: Revista Mexicana de Física (article, 2022-06-23)
Field: Materials Science — Polymers and Plastics

Optimization of inhibition efficiencies process of polyvinylpyrrolidone using response surface methodology Inhibition efficiencies (IE) process in polyvinylpyrrolidone (PVP) which is influenced by independent factors, concentration and size of PVP, temperature, time of immersion, and perchloric acid concentration was investigated in this paper. The relationship between factors and their responses is established by the concept of response surface methodology (RSM) explicitly through regression statistical analysis and probabilistic analysis is used in this work. The concept is a combination of mathematical and statistical techniques allowing the modeling and problems analysis by experimental design. In this study, the results based on statistical analysis showed that the quadratic models for the inhibition efficiencies (IE) were significant at the value of probability P &lt; 0.0001 and the coefficient of multiple regressions R2=0.9997, for further validation of the model, R2Adj=0.9993 indicated a good model. The observed experimental values were in good agreement with predicted ones and the model washighly significant with Q2= 0.9884. The optimal conditions of inhibition efficiencies (IE) obtained are 104.301% for a concentration of 3.55×10−3 mol/L, temperature of 20.15°C, immersion time of 2h, size of PVP 58000 g/mol, and acid concentration of 0.5 mol/L. Polyvinylpyrrolidone ; Response surface methodology ; Immersion (mathematics) ; Materials science ; Regression analysis ; Perchloric acid ; Biological system ; Statistical model ; Correlation coefficient ; Design of experiments ; Chemistry ; Statistics ; Mathematics ; Chromatography ; Organic chemistry ; Polymer chemistry Polymer Science and PVC
Authors: Anzhela Galstyan | Konstantin Strokov
Source: Photochemical & Photobiological Sciences (article, 2022-05-05)
Field: Materials Science — Biomaterials

Influence of photosensitizer concentration and polymer composition on photoinduced antimicrobial activity of PVA- and PVA-chitosan-based electrospun nanomaterials cross-linked with tailor-made silicon(IV) phthalocyanine The ongoing effort to eradicate pathogenic bacteria and viruses is a major endeavor that requires development of new and innovative materials. Materials based on photodynamic action represent an emerging and attractive area of research, and therefore, a broad understanding of chemical design principles is required. In the present study, we investigated the antibacterial and antiviral activities of five different nanofibrous membranes composed of poly(vinyl alcohol) or poly(vinyl alcohol)-chitosan mixture cross-linked through silicon(IV)phthalocyanine derivative with the aim to identify the role of the carrier polymer and photosensitizers concentration on its efficacy. A straightforward cross-linking process was adopted to create a water-stable material with an almost uniform distribution of the fiber structure, as revealed by scanning electron microscopy. The results of the antimicrobial studies showed that the increase in the amount of chitosan in the polymer mixture, rather than the increase in the photosensitizer concentration, enhanced the activity of the material. Due to their visible light-triggered antimicrobial activity, the resulting materials provide valuable opportunities for both topical antimicrobial photodynamic therapy and the area of environmental remediation. Photosensitizer ; Vinyl alcohol ; Antimicrobial ; Nanomaterials ; Chitosan ; Phthalocyanine ; Polymer ; Materials science ; Photodynamic therapy ; Nanotechnology ; Membrane ; Chemistry ; Chemical engineering ; Organic chemistry ; Composite material Electrospun Nanofibers in Biomedical Applications ; Nanoplatforms for cancer theranostics ; Photodynamic Therapy Research Studies