jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Jacem Zidani | Ilham Hamdi Alaoui | Moneim Zannen | E. Birks | Zakaria Chchiyai | Mustapha Majdoub | Bouchaib Manoun | M. El Marssi | Abdelilah Lahmar
Source: Materials (article, 2024-04-12)
Field: Materials Science — Materials Chemistry

On the Lanthanide Effect on Functional Properties of 0.94Na0.5Bi0.5TiO3-0.06BaTiO3 Ceramic The beneficial effects of lanthanide incorporation into 0.94Na<sub>0.5</sub>Bi<sub>0.5</sub>TiO<sub>3</sub>-0.06BaTiO<sub>3</sub> (BNT-BT) matrix on its functional properties were investigated. The conventional solid-state method was used for synthesizing samples. The structural refinement revealed that all samples crystallized in R3c rhombohedral symmetry. Raman spectroscopy study was carried out using green laser excitation and revealed that no clear perceptible variation in frequency is observed. Dielectric measurements unveiled that the introduction of rare earth obstructed the depolarization temperature promoted in BNT-BT, the diffusive phase transition decreasing with increasing lanthanide size. Only dysprosium addition showed comparable diffusion constant and dielectric behavior as the unmodified composition. Further, the comparison of the obtained ferroelectric hysteresis and strain-electric field loops revealed that only Dy-phase exhibited interesting properties comparing parent composition. In addition, the incorporation of lanthanides Ln<sup>3+</sup> into the BNT-BT matrix led to the development of luminescence characteristics in the visible and near infrared regions, depending on the excitation wavelengths. The simultaneous occurrence of photoluminescence and ferroelectric/piezoelectric properties opens up possibilities for BNT-BT-Ln to exhibit multifunctionality in a wide range of applications. Materials science ; Ferroelectricity ; Dielectric ; Lanthanide ; Photoluminescence ; Raman spectroscopy ; Luminescence ; Ceramic ; Hysteresis ; Phase (matter) ; Dysprosium ; Analytical Chemistry (journal) ; Excitation ; Optics ; Composite material ; Condensed matter physics ; Optoelectronics ; Inorganic chemistry ; Ion ; Chemistry Ferroelectric and Piezoelectric Materials ; Microwave Dielectric Ceramics Synthesis ; Multiferroics and related materials
Authors: Anyi He | Jinyi Zhu | Guoxiang Wang | Andriy Lotnyk | S. Cremer | Yimin Chen | Xiang Shen
Source: Applied Physics Letters (article, 2024-05-27)
Field: Materials Science — Materials Chemistry

Development of Sb phase change thin films with high thermal stability and low resistance drift by alloying with Se A single Sb phase demonstrates potential for use in phase change memory devices. However, the rapid crystallization of Sb at room temperature imposes limitations on its practical application. To overcome this issue, Sb is alloyed with Se using a reactive co-sputtering deposition technique, employing both Sb and Sb2Se3 sputter targets. This process results in the formation of Sb-rich Se thin films with varying compositions. Compared to pure Sb, the Sb-rich Se thin films exhibit enhanced thermal stability due to the formation of Sb–Se bonds and reduced resistance drift. In particular, the Sb86.6Se13.4 thin film demonstrates an exceptionally low resistance drift coefficient (0.004), a high crystallization temperature (Tc = 195 °C), a high 10-year data retention temperature (116.3 °C), and a large crystallization activation energy (3.29 eV). Microstructural analysis of the Sb86.6Se13.4 reveals the formation of a trigonal Sb phase with (012) texture at 250 °C, while Sb18Se and Sb2Se3 phases form at 300 °C. Conversely, the Sb98.3Se1.7 thin film shows the formation of the single Sb phase with (001) texture, a Tc of 145 °C, and a low resistance drift coefficient (0.011). Overall, this study demonstrates that the alloying strategy is a viable approach for enhancing thermal stability and reducing resistance drift in Sb-based phase-change materials. Materials science ; Thin film ; Crystallization ; Sputtering ; Thermal stability ; Phase-change memory ; Texture (cosmology) ; Phase (matter) ; Sputter deposition ; Temperature coefficient ; Activation energy ; Analytical Chemistry (journal) ; Deposition (geology) ; Antimony ; Chemical engineering ; Metallurgy ; Composite material ; Nanotechnology ; Chemistry ; Physical chemistry Phase-change materials and chalcogenides ; Chalcogenide Semiconductor Thin Films ; Transition Metal Oxide Nanomaterials
Authors: Martin Česnik | Janko Slavič
Source: International Journal of Mechanical Sciences (article, 2024-11-16)
Field: Materials Science — Materials Chemistry

Temperature–amplitude spectrum for early full-field vibration-fatigue-crack identification A dynamic structure under vibration loading within its natural frequency range can experience failure due to vibration fatigue. Understanding the causes of such failure requires pinpointing the initiation time and location of fatigue cracks, tracking their propagation, and identifying the frequency range of critical stress responses. This research introduces a novel, thermoelasticity-based method – the Temperature–Amplitude Spectrum (TAS) method – for early-stage, full-field, and non-contact crack detection that operates during uninterrupted vibration testing. This method leverages high-speed infrared imaging to analyze the specimen’s temperature–amplitude spectrum, capturing comprehensive crack-related information, including initiation and propagation, in real time. Experimentally validated on both 3D-printed polymer and aluminum specimens, the TAS method accurately identified crack locations and paths without complex adjustments to the experimental setup or data processing. This new approach advances vibration-fatigue testing by enabling reliable, high-resolution crack detection and analysis while remaining computationally efficient. • Early, full-field crack detection using TAS method. • Sensitive to sub-mK harmonic temperature changes. • Faster and more accurate crack identification than standard thermography. • Computationally efficient IR image processing. Vibration fatigue ; Vibration ; Structural engineering ; Amplitude ; Field (mathematics) ; Materials science ; Fatigue testing ; Frequency spectrum ; Spectrum (functional analysis) ; Identification (biology) ; Acoustics ; Engineering ; Physics ; Mathematics ; Spectral density ; Optics ; Telecommunications Material Properties and Failure Mechanisms ; Structural Health Monitoring Techniques ; Thermography and Photoacoustic Techniques
Authors: Shahrzad Maleki | Elahe Abedi | Seyed Mohammad Bagher Hashemi
Source: Ultrasonics Sonochemistry (article, 2024-10-30)
Field: Chemistry — Analytical Chemistry

Insights into kinetic, isotherm, and thermodynamic of ultrasound mode- and amplitude-dependent carotenoid and chlorophyll degradation or/and adsorption Experimental data were analyzed to investigate the underlying adsorption or degradation mechanism of carotenoids and chlorophylls over the bleaching of sunflower oil through different amplitudes of horn and bath ultrasound (ultrasound-assisted bleaching; UAB), temperature, time, and bleaching clay. Quantifying the color removal efficiency in both batch and continuous systems, along with the corresponding process time and energy consumption, is paramount for evaluating the energy-related performance of the treatment method. The adsorption of pigments onto activated bentonite was notably rapid and effective when ultrasound was employed. In both bleaching processes, the adsorption kinetics of carotenoids and chlorophyll exhibited a pseudo-second-order behavior. At the same time, a pseudo-first-order equation provided a better fit for the control conditions. Moreover, intra-particle diffusion contributed to the adsorption mechanism, although it was not the only rate-limiting step in the adsorption of pigments on the clay. It is hypothesized that carotenoid and chlorophyll adsorption occur through physisorption in control conditions, while chemical reactions play a role in pigment removal under sonication. The Freundlich isotherm yielded precise estimates of the adsorption equilibrium data for carotenoid and chlorophyll during ultrasonic bleaching, suggesting a multilayer adsorption mechanism under ultrasound exposure. The thermodynamic study found that pigment adsorption was feasible, spontaneous, and endothermic. According to the results, horn and bath ultrasound, especially at higher voltages, can remarkably remove carotenoid and chlorophyll from sunflower oil compared to the traditional bleaching process. Adsorption ; Degradation (telecommunications) ; Carotenoid ; Kinetic energy ; Chemistry ; Chlorophyll ; Thermodynamics ; Sorption isotherm ; Sonochemistry ; Chlorophyll a ; Kinetics ; Chemical engineering ; Materials science ; Physical chemistry ; Organic chemistry ; Biochemistry ; Physics Spectroscopy and Chemometric Analyses ; Dye analysis and toxicity ; Edible Oils Quality and Analysis
Authors: Arina Pavlova | Ksenia Maleeva | Ivan V. Moskalenko | Vadim E. Belyaev | Mikhail V. Zhukov | Demid A. Kirilenko | Kirill Bogdanov | Evgeny Smirnov
Source: International Journal of Molecular Sciences (article, 2024-11-28)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Self-Assembled Gold Nanoparticles as Reusable SERS Substrates for Polyphenolic Compound Detection Natural polyphenolic compounds play a pivotal role in biological processes and exhibit notable antioxidant activity. Among these compounds, chlorogenic acid stands out as one of the most widespread and important polyphenols. The accurate detection of chlorogenic acid is crucial for ensuring the quality and classification of the raw materials used in its extraction, as well as the final products in the food, pharmaceutical, and cosmetics industries that contain this bioactive compound. Raman spectroscopy emerges as a powerful analytical tool, particularly in field applications, due to its versatility and sensitivity, offering both qualitative and quantitative analyses. By using the self-assembly of gold nanoparticles at liquid-liquid interfaces and the developed "aqua-print" process, we propose a facile and inexpensive route to fabricate enhanced substrates for surface-enhanced Raman spectroscopy with high reproducibility. To ensure substrate reliability and accurate molecule detection in SERS experiments, a benchmarking procedure was developed. This process involved the use of non-resonant rhodamine 6G dye in the absence of charge transfer and was applied to all synthesized nanoparticles and fabricated substrates. The latter revealed the highest enhancement factor of 4 × 10<sup>4</sup> for 72 nm gold nanoparticles among nanoparticle diameters ranging from 14 to 99 nm. Furthermore, the enhanced substrate was implemented in the detection of chlorogenic acid with a concentration range from 10 μM to 350 μM, demonstrating high accuracy (R<sup>2</sup> > 99%). Raman mapping was employed to validate the good uniformity of the signal (the standard deviation was below 15%). The findings of this study were also supported by DFT calculations of the theoretical Raman spectra, demonstrating the formation of the chlorogenic acid dimer. The proposed method is strategically important for the development of the class of in-field methods to detect polyphenolic compounds in raw materials such as plants, extracted plant proteins, and polyphenolic compounds. Chlorogenic acid ; Colloidal gold ; Rhodamine 6G ; Surface-enhanced Raman spectroscopy ; Nanoparticle ; Substrate (aquarium) ; Raman spectroscopy ; Nanotechnology ; Materials science ; Melamine ; Polyphenol ; Chemistry ; Chromatography ; Molecule ; Raman scattering ; Organic chemistry ; Antioxidant Gold and Silver Nanoparticles Synthesis and Applications ; Spectroscopy Techniques in Biomedical and Chemical Research ; Spectroscopy and Chemometric Analyses
Authors: Diego Silva Melo | Carlos Toshiyuki Hiranobe | Gabrieli Roefero Tolosa | José Antônio Malmonge | Cícero Cena | Aldo Eloízo Job | Renivaldo José dos Santos | Michael Jones da Silva
Source: Applied Sciences (article, 2024-10-05)
Field: Materials Science — Materials Chemistry

Analyzing the Reinforcement of Multiwalled Carbon Nanotubes in Vulcanized Natural Rubber Nanocomposites Using the Lorenz–Park Method In this study, multiwalled carbon nanotubes (MWCNTs) were incorporated into vulcanized natural rubber (VNR) matrixes to create nanocomposites with improved mechanical, thermal, and electrical properties. The interfacial interaction of the MWCNTs with the VNR matrix was quantitatively evaluated based on the crosslink density value calculated using the Flory–Rehner methodology. Various rheometric parameters were influenced by the addition of the MWCNTs, including minimum torque (ML), maximum torque (MH), and scorch time (tS1). The MWCNTs significantly enhanced the vulcanization of the composites based on the VNR matrix. This study highlights the impact of MWCNTs on crosslink density, improving mechanical properties and reducing swelling in the VNR matrix. We discovered that the MWCNTs and the VNR matrix interact strongly, which improved the mechanical properties of the matrix. The MWCNTs improved the hardness, tensile strength, and abrasion resistance of the VNR/MWCNT nanocomposites. Based on dynamic mechanical analysis, MWCNT incorporation improved stiffness as indicated by a change in storage modulus and glass transition temperatures. The addition of MWCNTs to the VNR/MWCNT nanocomposites significantly improved their electrical properties, reaching a percolation threshold where conductive pathways were formed, enhancing their overall conductivity. Overall, this study demonstrates the versatility and functionality of VNR/MWCNT nanocomposites for a variety of applications, including sensors, electromagnetic shielding, and antistatic blankets. Vulcanization ; Materials science ; Reinforcement ; Natural rubber ; Composite material ; Nanocomposite ; Carbon nanotube ; Polymer science Carbon Nanotubes in Composites ; Polymer Nanocomposites and Properties ; Tribology and Wear Analysis
Authors: Kris Wonggasem | Papis Wongchaisuwat | Pongsan Chakranon | Damrongvudhi Onwimol
Source: Agronomy (article, 2024-09-02)
Field: Chemistry — Analytical Chemistry

Utilization of Machine Learning and Hyperspectral Imaging Technologies for Classifying Coated Maize Seed Vigor: A Case Study on the Assessment of Seed DNA Repair Capability The conventional evaluation of maize seed vigor is a time-consuming and labor-intensive process. By contrast, this study introduces an automated, nondestructive framework for classifying maize seed vigor with different seed DNA repair capabilities using hyperspectral images. The selection of coated maize seeds for our case study also aligned well with practical applications. To ensure the accuracy and reliability of the results, rigorous data preprocessing steps were implemented to extract high-quality information from raw spectral data obtained from the hyperspectral images. In particular, commonly used pretreatment methods were explored. Instead of analyzing all the wavelengths of spectral data, a competitive adaptive reweighted sampling method was used to select more informative wavelengths, optimizing analysis efficiency. Furthermore, this study leveraged machine learning models, enriched through oversampling techniques to address data imbalance at the seed level. The results obtained using a support vector machine with enhanced techniques demonstrated promising results with 100% sensitivity, 96.91% specificity, and a 0.9807 Matthews correlation coefficient (MCC). Thus, this study highlighted the effectiveness of hyperspectral imaging and machine learning in modern seed assessment practices. By introducing a seed vigor classification system that can even accommodate coated seeds, this study offers a potential pathway for empowering seed producers in practical, real-world applications. Hyperspectral imaging ; Agricultural engineering ; Agronomy ; Environmental science ; Computer science ; Artificial intelligence ; Machine learning ; Biology ; Engineering Spectroscopy and Chemometric Analyses ; Smart Agriculture and AI ; Genetics and Plant Breeding
Authors: Inés Álvarez‐Miguel | Beatrice Fodor | Guillermo G. López | Catalina Biglione | Erik Svensson Grape | A. Ken Inge | Tania Hidalgo | Patricia Horcajada
Source: ACS Applied Materials & Interfaces (article, 2024-06-11)
Field: Chemistry — Inorganic Chemistry

Metal–Organic Frameworks: Unconventional Nanoweapons against COVID The SARS-CoV-2 (COVID-19) pandemic outbreak led to enormous social and economic repercussions worldwide, felt even to this date, making the design of new therapies to combat fast-spreading viruses an imperative task. In the face of this, diverse cutting-edge nanotechnologies have risen as promising tools to treat infectious diseases such as COVID-19, as well as challenging illnesses such as cancer and diabetes. Aside from these applications, nanoscale metal-organic frameworks (nanoMOFs) have attracted much attention as novel efficient drug delivery systems for diverse pathologies. However, their potential as anti-COVID-19 therapeutic agents has not been investigated. Herein, we propose a pioneering anti-COVID MOF approach by studying their potential as safe and intrinsically antiviral agents through screening various nanoMOF. The iron(III)-trimesate MIL-100 showed a noteworthy antiviral effect against SARS-CoV-2 at the micromolar range, ensuring a high biocompatibility profile (90% of viability) in a real infected human cellular scenario. This research effectively paves the way toward novel antiviral therapies based on nanoMOFs, not only against SARS-CoV-2 but also against other challenging infectious and/or pulmonary diseases. Coronavirus disease 2019 (COVID-19) ; Nanotechnology ; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ; Pandemic ; 2019-20 coronavirus outbreak ; Drug delivery ; Risk analysis (engineering) ; Intensive care medicine ; Biochemical engineering ; Materials science ; Infectious disease (medical specialty) ; Outbreak ; Virology ; Medicine ; Engineering ; Disease Metal-Organic Frameworks: Synthesis and Applications ; Nanoplatforms for cancer theranostics ; COVID-19 Clinical Research Studies
Authors: Gezahagn Tadesse Ayanie | Yilkal Dessie | Eneyew Tilahun Bekele
Source: Materials Technology (article, 2024-05-01)
Field: Materials Science — Materials Chemistry

Effect of volume ratios on the novel <i>Solanum lycopersicum</i> leaf extract-mediated production of ZnO and Co <sub>3</sub> O <sub>4</sub> nanoparticles for potential antifungal applications Antimicrobial infectious disease has become a major problem in the world. It has been found as its continual distribution is at extremely frightening rate. The most curable technique is the design and synthesis of effective nano-based drugs as green alternative. In this study, ZnO and Co3O4 nanoparticles (NPs) were produced from their precursor salts in the volume ratios of 1:3, 1:1, and 3:1 with Solanum lycopersicum leaf as a capping and reducing agent. Characterizations were performed using TGA/DTA, XRD, SEM, TEM, HRTEM, SAED, UV-Vis, and FTIR techniques. After 450°C and 500°C, ZnO and Co3O4 NPs were found to be thermally stable, respectively. For the ZnO and Co3O4 NPs in 1:3, 1:1, and 3:1 volume ratios, respectively, their average crystalline sizes were 51, 20, 29 and 26, 21 and 28 nm. The degree of crystallinity is confirmed by SEM in conjunction with TEM-HRTEM, and SAED. Among the numerous volume ratios, Co3O4 (1:3) and Co3O4 (1:1) showed 100% promised activity against Alternaria solani pathogen. Solanum ; Volume (thermodynamics) ; Antifungal ; Materials science ; Nanoparticle ; Horticulture ; Production (economics) ; Botany ; Chemical engineering ; Nanotechnology ; Biology ; Physics ; Engineering ; Thermodynamics Nanoparticles: synthesis and applications ; Medicinal Plant Research ; Nanocomposite Films for Food Packaging
Authors: Jiaojiao Zhou | Chen Liu | Yujun Zhong | Zhihui Luo
Source: Foods (article, 2024-12-10)
Field: Chemistry — Analytical Chemistry

Applications of Near-Infrared Spectroscopy for Nondestructive Quality Analysis of Fish and Fishery Products Fish has become one of the most popular aquatic products for its beneficial effects. The quality of fish and fishery products may be influenced by their geographical origin, transportation, processing, and storage conditions. The availability of rapid and reliable techniques is important for nondestructive determination of their quality. Recently, near-infrared spectroscopy (NIRS) has been widely employed in the nondestructive evaluation of fish and fishery products. However, a comprehensive review on NIRS for this topic remains to be published. Based on this demand, the applications of NIRS in the nondestructive evaluation of fish and fishery products have been discussed in this review. This review firstly introduces the fundamentals of NIRS. Then the application of NIRS for the assessment of species, geographical origin, adulteration, freshness, nutrient components, and texture is summarized. In addition, the application of near-infrared hyperspectral imaging technology in fish and fishery products is also discussed. Finally, the challenges and prospects are outlined. The current review may provide a reference for research on NIRS in this field. In the future, NIRS could be used for online assessment of quality attributes in the fish industry through the development of new instruments and chemometrics. Fish <Actinopterygii> ; Chemometrics ; Quality (philosophy) ; Environmental science ; Fishery ; Biochemical engineering ; Hyperspectral imaging ; Nondestructive testing ; Computer science ; Fish products ; Biology ; Engineering ; Artificial intelligence ; Machine learning Spectroscopy and Chemometric Analyses ; Spectroscopy Techniques in Biomedical and Chemical Research ; Advanced Chemical Sensor Technologies
Authors: Gökalp Çınarer | Nizamettin Erbaş | Abdurrahman Öcal
Source: Brazilian Archives of Biology and Technology (article, 2024-01-01)
Field: Chemistry — Analytical Chemistry

Rice Classification and Quality Detection Success with Artificial Intelligence Technologies HIGHLIGHTS Accelerating the process of product classification and to classifying correctly crops by qualities. Provides the opportunity to offer products in accordance with different consumer groups and market conditions. It is views that a very high classification result of 99.18% is accomplished by machine learning algorithms analysis values. This model shows that it can also be applied to other crops. Quality (philosophy) ; Computer science ; Product (mathematics) ; Process (computing) ; Artificial intelligence ; Machine learning ; Mathematics Spectroscopy and Chemometric Analyses ; Smart Agriculture and AI