Applications In Industry Research Articles

Magnesium alloys in the automotive industry: Alloying elements and their impact on material performance

This study aims to systematically review and evaluate the application of magnesium (Mg) within the automotive sector, with a focus on enhancing fuel efficiency and supporting environmental sustainability. The review emphasizes the latest advancements in cast magnesium alloys, wrought magnesium alloys, and functional magnesium materials, including the development of novel Mg-based materials. The environmental impact of utilizing magnesium in automotive components is also critically analyzed. Recent innovations, particularly in the fields of nanocomposites and alloying, have significantly enhanced the mechanical properties of magnesium alloys, such as increased strength and improved grain refinement, making them suitable for high-temperature applications. The findings suggest that the competitive pricing and enhanced properties of magnesium and its alloys are key drivers for their widespread adoption in automotive manufacturing. The paper provides a detailed discussion on the current trends in magnesium alloy applications, with particular focus on the role of alloying elements and strategies to address associated challenges. This comprehensive review outlines the recent technological advancements in magnesium materials and their relevance to modern engineering applications in the automotive industry.

An innovative multilayered material fabricated through additive manufacturing for structural applications: method and mechanical properties

Abstract Additive manufacturing (AM) is a cost-effective method for fabricating structurally sound components. Fused filament fabrication (FFF) is a popular AM technique known for its design flexibility, minimal material wastage, and recyclability. Poly lactic acid (PLA) is a thermoplastic widely used in aerospace, biomedical, and automobile industries. Wood-PLA, incorporating wood fillers into PLA, finds applications in several industries. This research explores multilayered materials (MLM) for enhanced performance in various sectors such as aircraft, energy, and biomedical. Mechanical properties of MLM were investigated under different load conditions (tensile, bend, compressive). Properties simulated through Finite Element Method (FEM) showed minimal error (less than 1 %). Microscopic analysis, aided by scanning electron microscope (SEM) fractography, reveals a brittle mode of failure in the specimens. This study provides valuable insights into the mechanical behaviour of MLM, offering potential applications in diverse industries.

Optimization and Analysis of Flow Field Simulations Across Different Mach Regimes Using Discrete Numerical Methods

This article explores the development of flow field models in steady-state environments utilizing Euler equations and potential flow equations, with verification processes conducted using Python. The models demonstrate stability and high accuracy in low-velocity scenarios, capturing essential dynamics effectively. However, as the conditions transition to supersonic speeds, the models begin to exhibit increased errors. This discrepancy highlights the challenges faced in simulating high-speed aerodynamics accurately. The research underscores the importance of improving model fidelity in diverse Mach regimes, particularly in supersonic conditions where traditional methods struggle. Future research directions identified include the development of unsteady flow field models, which are crucial for dynamic analyses, optimization of grid structures for three-dimensional complex fields to improve computational efficiency, and the creation of extensive model libraries. These advancements aim to enhance the accuracy, reliability, and practicality of flow field simulations, extending their applicability in both academic studies and industry applications, particularly in aerospace engineering where precise flow modeling is critical.

Parametric investigation of friction stir welding of aluminum alloy and Inconel 718 using finite element analysis

Friction Stir Welding (FSW) has emerged as a prominent technique for joining metallic materials, offering advantages in both similar and dissimilar material combinations. Despite its effectiveness, further advancements are needed to address industry demands and enhance the understanding of the FSW process. Welding nickel-based superalloys like Inconel 718 poses specific challenges, with existing literature suggesting that achieving successful welds requires high axial forces and precise process parameters, limiting its practical application in industries. To tackle these issues, this research proposes the utilization of 3D finite element models integrating multiphysics aspects, encompassing material flow and heat transfer mechanisms such as conduction, convection, and radiation. These models were validated against existing experimental data and employed to analyze temperature and strain distributions within the heat affected zone and weld nugget. The findings offer insights into the impact of various process parameters, including rotational speed, welding speed, normal force, cooling rate, and the effect of induction preheating, on key performance metrics like temperature profiles, grain size distribution, microhardness, and stress evolution. The outcomes underscore a notable correlation between process variables and performance indicators, facilitating a comprehensive understanding of the FSW process dynamics.

Nonlinear analysis of three-dimensional hyperelastic problems using radial point interpolation method

Hyperelastic materials are primarily common in real life as well as in industry applications, and studying this kind of material is still an active research area. Naturally, the characteristic of hyperelastic material will be expressed when it undergoes large deformation, so the geometrical nonlinear effect should be considered. To analyze the behavior of hyperelastic material, the Neo-Hookean model is imposed in this study because of its simplicity. The model shows the nonlinear behavior when the deformation becomes large due to the nonlinear displacement-strain relation. This constitutive relation also gives a good correlation with experimental data. This study performs a meshless method, namely the radial point interpolation method (RPIM), to analyze the nonlinear behavior of Neo-Hookean hyperelastic material under a finite deformation state in three-dimensional space. The standard Newton-Raphson technique is applied to obtain the nonlinear solutions. Unlike mesh-based approaches, the meshless method shows its advantages in large deformation problems due to its mesh independence. In this paper, the numerical results of three-dimensional problems that undergo large deformation will be calculated and validated with solutions derived from previous studies. By investigating the obtained results, the superior ability of RPIM in hyperelastic problems can be proved.

A robust deep learning approach for identification of RNA 5-methyluridine sites

RNA 5-methyluridine (m5U) sites play a significant role in understanding RNA modifications, which influence numerous biological processes such as gene expression and cellular functioning. Consequently, the identification of m5U sites can play a vital role in the integrity, structure, and function of RNA molecules. Therefore, this study introduces GRUpred-m5U, a novel deep learning-based framework based on a gated recurrent unit in mature RNA and full transcript RNA datasets. We used three descriptor groups: nucleic acid composition, pseudo nucleic acid composition, and physicochemical properties, which include five feature extraction methods ENAC, Kmer, DPCP, DPCP type 2, and PseDNC. Initially, we aggregated all the feature extraction methods and created a new merged set. Three hybrid models were developed employing deep-learning methods and evaluated through 10-fold cross-validation with seven evaluation metrics. After a comprehensive evaluation, the GRUpred-m5U model outperformed the other applied models, obtaining 98.41% and 96.70% accuracy on the two datasets, respectively. To our knowledge, the proposed model outperformed all the existing state-of-the-art technology. The proposed supervised machine learning model was evaluated using unsupervised machine learning techniques such as principal component analysis (PCA), and it was observed that the proposed method provided a valid performance for identifying m5U. Considering its multi-layered construction, the GRUpred-m5U model has tremendous potential for future applications in the biological industry. The model, which consisted of neurons processing complicated input, excelled at pattern recognition and produced reliable results. Despite its greater size, the model obtained accurate results, essential in detecting m5U.

Optimizing Test Data Management Strategies in Banking Domain Projects

The steady rise in processing power over the past 20 years has resulted in an enormous volume of data. Furthermore, anybody may now easily create and consume material in any format thanks to recent advancements in Web technology. Large volumes of data are regularly gathered by banking systems, including trade finance data, SWIFT and telex communications, client information, details about transactions, risk profiles, credit card details, limit and collateral details, the compliance or Anti Money Laundering (AML)-related data, and limit and collateral details. Every day, thousands of choices are made at banks. These choices pertain to credit, default, beginning a relationship, investments, AML, and illicit funding, among other things. To make these crucial choices, one must rely on a variety of data and drill down capabilities offered by the banking systems. We created a set of specifications for the kinds of data that should be included in a product catalogue. We ascertained what data the departments need by using a survey and questionnaire of the retailer's staff. We ensured that there was no one standard for the information organisation and then put out our own plan. This enormous amount of data may be mined for information and intriguing patterns, which can then be used to the decision-making process. This article examines and summarises a number of data mining methods that have applications in the banking industry. An overview of data mining methods and procedures is given. It also sheds light on how these methods may be applied in the banking industry to facilitate and enhance decision-making.

Mechanical and Thermal Characteristics of Films from Glycerol Mixed Emulsified Carnauba Wax/Polyvinyl Alcohol

Poly(vinyl alcohol) (PVA)-based films have drawn significant attention owing to their potential applications in various industries. The application of wax to PVA films enhanced their resistance to dissolution and water infiltration. Nevertheless, waxed PVA films often exhibit inadequate mechanical properties owing to crack formation. In this study, we evaluated the impact of glycerol as a plasticizer in varying concentrations of Carnauba wax (CW). The addition of glycerol to the PVA/CW blend led to enhanced mechanical properties compared to the blend without glycerol. The functional group and morphology of the blends confirm glycerol compatibility with PVA/CW films. Glycerol was fully dispersed to form a consistent polymer matrix and equally improved the film’s contact angle. Furthermore, the thermal property from differential scanning calorimetry and thermogravimetric analysis highlights the plasticizing effect of glycerol in PVA/CW films, potentially broadening their use in food packaging and wrapping applications.

Valorization of Potato Peels (Solanum tuberosum) Using Infrared-Assisted Extraction: A Novel Sprouting Suppressant and Antibacterial Agent

Recently, there has been a growing interest in reducing waste to promote environmental sustainability, with particular focus on agricultural by-products, especially fruits and vegetables. Potato, a widely used crop across various industries, generates a significant amount of peel waste. This study aims to valorize potato peels using water bath extraction (WBE) and infrared-assisted extraction (IRAE), both with distilled water as the solvent, followed by assessments of antioxidant, antibacterial, and anti-sprouting activities. Optimization using response surface methodology identified optimal extraction conditions for WBE (90 °C for 70 min) and IRAE (80 °C for 10 min), with both methods yielding 3.5 mg GAE/g DM in polyphenol content. IRAE demonstrated superior energy efficiency and enhanced antioxidant activity. The extracts exhibited antibacterial properties against both Gram-positive (Listeria monocytogenes) and Gram-negative bacteria (Proteus sp. and Salmonella sp.), with inhibition zones ranging from 10 to 14 mm. Furthermore, the potato peels extract showed significant anti-sprouting effects at room temperature, reducing both the number and size of sprouts compared with the control. HPLC analysis showed the presence of different phenolic compounds such as rutin, catechin, caffeic acid, protocatechuic acid, chlorogenic acid, p-coumaric acid, and gallic acid in one or both extracts. These findings suggest that potato peels extract holds potential for applications in the food industry as a natural preservative due to its antioxidant properties, as well as a sprout suppressant. The antibacterial activity of the extracts suggests their potential as a natural preservative as well, offering protection against both Gram-positive and Gram-negative bacteria that may be present in food.

Water-soluble chlorogenic acid-chitosan and polydatin-chitosan conjugates: antibacterial activity and inhibition of lipid and protein oxidation.

Chitosan (CS), an abundant alkaline polysaccharide, is valued for its biocompatibility, non-toxicity, and antibacterial properties. However, its limited solubility and modest antioxidant activity constrain its utility. Grafting polyphenols onto chitosan through the use of grafting reactions can enhance both the solubility and bioactivity of chitosan. Among the techniques employed, the free radical grafting method is favored for its simplicity, environmental sustainability, and its effectiveness in preserving biological activity. In this study, chlorogenic acid (CGA) and polydatin (PLD) were conjugated successfully to chitosan by a Vc/H2O2 redox system. Analytical techniques such as ultraviolet-visible (UV-visible) spectroscopy, fourier transform infrared (FTIR) spectroscopy, X-ray diffraction (XRD), and proton nuclear magnetic resonance (1H NMR) were employed to confirm the formation of covalent bonding between the polyphenol molecules and the chitosan backbone. The novel conjugates displayed superior antioxidant properties in comparison with pristine chitosan, as evidenced by their enhanced 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical, 2,2'-azinobis-(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) radical, and hydroxyl radical scavenging capacities, and Fe2+ reducing power. Both CGA-CS and PLA-CS exhibited excellent lipid and protein oxidation inhibition capabilities. Furthermore, the conjugates were shown to have significant antibacterial effects against four common pathogenic bacteria: Pseudomonas fluorescens, Pseudomonas aeruginosa, Pseudomonas putida, and Staphylococcus aureus (P < 0.05). The newly synthesized water-soluble polyphenol-chitosan conjugates demonstrated remarkable biological activity, particularly CGA-CS. This study offers new insights and a strong theoretical foundation for developing natural food preservation materials with potential applications in the food industry. © 2024 Society of Chemical Industry.

Effects of Acetylation on the Morphological, Physicochemical, and Thermal Properties of Enterolobium cyclocarpum Starch

AbstractThis study investigates the impact of acetylation treatment on Enterolobium cyclocarpum (Parota) starch, focusing Morphological, Physico‐chemical and thermal impact induced by varying acetylation levels. The research employed scanning electron microscopy (SEM), differential scanning calorimetry (DSC), and thermogravimetric analysis (TGA) to examine the structural and thermal alterations resulting from acetylation. These analyses also evaluated the starch's thermal stability. Through titration, the degree of substitution and acetyl group content were quantified, demonstrating significant morphological transformations in the starch, such as increased particle size and the appearance of surface cracks on the granules. The study revealed that the degree of substitution, which changes with the duration of acetylation, markedly influences the starch's physicochemical properties, including hydrophobicity and thermal stability. Initially, acetylation reduced the gelatinization temperature, suggesting a decrease in the energy required for gelatinization. Over longer acetylation periods, however, the gelatinization temperature increased, likely due to enhanced crystallinity or molecular reorganization. These findings indicate that acetylated Parota starch has potential applications in the food industry as an encapsulating agent and in the thermoplastics industry as a plasticizer, dependent on the level of acetylation. This research underscores the utility of specific chemical modifications to adapt starch properties for various industrial applications.

Upcycling of waste polyethylene terephthalate (PET) into CoFe@C for highly efficient PV-driven bifunctional seawater splitting via a “waste materialization” strategy

Developing green and efficient techniques to convert plastic wastes into functional materials is attractive and remains highly challenging. This study employs a hydrothermal combining with pyrolysis process for constructing a Co3Fe1@C heterostructure from the polyethylene terephthalate (PET) waste-mediated metal-organic frameworks. The as-obtained Co3Fe1@C shows a core-shell structure and possesses good performance towards water electrolysis. The Co3Fe1@C can attain the current density of 100 mA cm−2 with an overpotential of 250 mV for oxygen evolution reaction (OER). In addition, the bifunctional Co3Fe1@C can realize the overall seawater electrolysis at 50 mA cm−2 with good stability for 280 h driven by a 2.2 V commercial silicon solar cell. Overall, this study demonstrates a green chemistry approach to simultaneous plastic waste upcycling and cost-effective electrocatalyst fabrication, which may stimulate further research on the “waste materialization” approach to converting solid waste into highly efficient catalysts for various chemistry and energy industry applications.

Drones and Technopreneurship in Malaysia: Unlocking the Economic Potential of Drones in Built Environment Development

Drones, with diverse technological capabilities, are poised to revolutionise various traditional tasks, particularly in-built environment development while driving economic growth, innovation, and job creation. Within the Malaysian context, drones have evolved beyond recreational use to become sophisticated unmanned aerial vehicles with untapped business potential. Against this backdrop, this paper explores a comprehensive review of drone development in Malaysia. Using a multidisciplinary approach, the review includes selected publication data from academic journals and online media published between 2018 and 2023, complemented with insights gathered from expert interviews. Aiming to bridge the discursive gap surrounding emerging drone technologies, the review focuses on identifying patterns and trends in recent Malaysian publications on drone applications, as well as understanding current issues related to its technology adoption. The thematic findings reveal a notable surge in interest in drone-related publications and draw clear connections between drone applications and diverse industrial sectors over the past six years. The paper emphasises critical issues such as community acceptance, the transforming landscape of business, diverse industry applications of drone technology, and government strategies for advancing drone technology. As a preliminary study, this paper establishes the foundation for leveraging the benefits of drone technology within the broader context of the built environment, social, and economic landscape. By shedding light on the evolving drone ecosystem in Malaysia, the paper contributes to fostering informed discussions and strategic initiatives in the integration and advancement of drone technologies. Thus, it offers valuable insights for professionals, economists, engineers, policymakers, and researchers alike.

Pulses as Sustainable Protein Sources: Benefits, Drawbacks, and Gaps

Abstract: Pulses have redeemed the interest in terms of a sustainable and healthy diet due to their high protein content. Furthermore, the vitamins, minerals, and phytochemicals they contain also make them more valuable nutritionally. A sustainable diet should improve public health and food security and has a low environmental footprint. Pulses have been considered one of the emerging plant food proteins. Although they have beneficial components such as vitamins, minerals, phytochemicals, and antioxidants, many drawbacks limit their use to consumers and the food industry. One of the drawbacks is their incomplete proteins due to the lack of sulfur-containing amino acids in their protein profile. Furthermore, the protein digestibility of pulses is low due to the antinutritional compounds they contain. The other drawback of pulses is their beany flavor and bitter taste that limits the acceptability of consumers. From the consumer's point of view, the other disadvantage is the laborious and timeconsuming preparation period. : This article provides a concise overview of the current state of knowledge on pulses as sustainable protein sources, underlining the gaps that limit their extensive application in the food industry. Based on the available scientific facts on pulses, finding an efficient method for removing beany flavor and overall sensorial acceptability and antinutritional factors, thus increasing protein digestibility is crucial. The most promising option to increase pulse protein digestibility seems to combine conventional and novel technologies that can modulate digestibility by different mechanisms, such as the removal of antinutritional factors, protein denaturation, and the design of the food matrix.

Machine Learning and IoT-Based Solutions in Industrial Applications for Smart Manufacturing: A Critical Review

The Internet of Things (IoT) has radically changed the industrial world, enabling the integration of numerous systems and devices into the industrial ecosystem. There are many areas of the manufacturing industry in which IoT has contributed, including plants’ remote monitoring and control, energy efficiency, more efficient resources management, and cost reduction, paving the way for smart manufacturing in the framework of Industry 4.0. This review article provides an up-to-date overview of IoT systems and machine learning (ML) algorithms applied to smart manufacturing (SM), analyzing four main application fields: security, predictive maintenance, process control, and additive manufacturing. In addition, the paper presents a descriptive and comparative overview of ML algorithms mainly used in smart manufacturing. Furthermore, for each discussed topic, a deep comparative analysis of the recent IoT solutions reported in the scientific literature is introduced, dwelling on the architectural aspects, sensing solutions, implemented data analysis strategies, communication tools, performance, and other characteristic parameters. This comparison highlights the strengths and weaknesses of each discussed solution. Finally, the presented work outlines the features and functionalities of future IoT-based systems for smart industry applications.

Worker Presence Monitoring in Complex Workplaces Using BLE Beacon-Assisted Multi-Hop IoT Networks Powered by ESP-NOW

The increasing adoption of Internet of Things (IoT) technologies has facilitated the creation of advanced applications in various industries, notably in complex workplaces where safety and efficiency are paramount. This paper addresses the challenge of monitoring worker presence in vast workplaces such as shipyards, large factories, warehouses, and other construction sites due to a lack of traditional network infrastructure. In this context, we developed a novel system integrating Bluetooth Low Energy (BLE) beacons with multi-hop IoT networks by using the ESP-NOW communications protocol, first introduced by Espressif Systems in 2017 as part of its ESP8266 and ESP32 platforms. ESP-NOW is designed for peer-to-peer communication between devices without the need for a WiFi router, making it ideal for environments where traditional network infrastructure is limited or nonexistent. By leveraging the BLE beacons, the system provides real-time presence data of workers to enhance safety protocols. ESP-NOW, a low-power communications protocol, enables efficient, low-latency communication across extended ranges, making it suitable for complex environments. Utilizing ESP-NOW, the multi-hop IoT network architecture ensures extensive coverage by deploying multiple relay nodes to transmit data across large areas without Internet connectivity, effectively overcoming the spatial challenges of complex workplaces. In addition, the Message Queuing Telemetry Transport (MQTT) protocol is used for robust and efficient data transmission, connecting edge devices to a central Node-RED server for real-time remote monitoring. Moreover, experimental results demonstrate the system’s ability to maintain robust communication with minimal latency and zero packet loss, enhancing worker safety and operational efficiency in large, complex environments. Furthermore, the developed system enhances worker safety by enabling immediate identification during emergencies and by proactively identifying hazardous situations to prevent accidents.

A fundamental analytical model for micro topography of skived gear surface

Surface topography is important for gear components, as it exerts influence on noise, wear, lubrication, and life expectancy. Different gear finishing processes result in varying micro tooth topographies, which lead to different driving and lubricating performances. The advanced technology of gear skiving, a recent industry application known for its high efficiency and flexibility in both roughing and finishing of cylindrical gears, has become the focus of extensive research. However, investigations into the micro topography of skived tooth flanks have been limited, primarily due to the absence of a highly efficient algorithm, which hinders the prediction and optimization of driving performance. By demonstrating that the skived surface can be obtained through the collection of micro-sections of the cutter trace in a specific order, this paper proposes a comprehensive analytical model for the micro topography of the skived surface. Both numerical and experimental studies reveal the topology texture, surface roughness, and the effects of the cutter and cutting settings. Results indicate that a higher installation angle, feed rate, and cutter tooth number are more effective in reducing roughness.

Fruit and vegetable waste as a raw material for obtaining functional antioxidants and their applications: A review of a sustainable strategy

AbstractThe growing concern about environmental sustainability and increasing fruit and vegetable waste (FVW) generation have stimulated research into their potential valorization. This paper explores using this type of waste to obtain beneficial antioxidants in various fields of study. It is imperative to delve into the problems associated with FVW, shedding light on the staggering amounts generated and the environmental and economic challenges of waste disposal. The biochemical composition of FVW reveals the diverse array of components present, such as carbohydrates, proteins, lipids, vitamins, minerals, and of course antioxidants, which can be obtained through different extraction methods, depending on the conditions, the efficiency and the purpose that is required during the process of separation of these compounds from the organic matter. Antioxidants are compounds that can neutralize free radicals, which contributes to combating various conditions and diseases to promote and preserve human health. Several groups of antioxidants have been described, such as polyphenolic compounds in significant amounts in plant biomass as FVW. These antioxidants demonstrate benefits, efficacy and potential applications in industries like medicine, cosmetics, pharmaceuticals and functional foods. The valorization of FVW as a source of antioxidants presents a promising avenue for sustainable waste management and the production of natural antioxidants. This approach contributes to environmental preservation and promotes circular economy principles by transforming waste into valuable resources. This paper provides valuable insights into the vast potential of FVW valorization for antioxidant production and its application across diverse industries.

Anabasis setifera leaf extract from arid habitat: A treasure trove of bioactive phytochemicals with potent antimicrobial, anticancer, and antioxidant properties.

The main objective of this study was to evaluate the biological activities of Anabasis setifera extract, including its antimicrobial, anticancer, and antioxidant properties. In the current study, Anabasis setifera leaves extract was evaluated for antimicrobial, anticancer, antioxidant activities and phytochemical analyses. Ethyl acetate extract of Anabasis setifera (EA-AS) exhibited promising antimicrobial activity toward Escherichia coli, Staphylococcus aureus, Salmonella typhimurium, Bacillus subtilis, Candida albicans, Aspergillus brasiliensis, Aspergillus fumigatus with MICs 62.5, 125, 62.5, 31.25, 62.5, 125 and 125 μg/mL respectively. Moreover, EA-AS showed anticancer activity at safe concentrations, where IC50 were 36.4 and 44 μg/mL toward Hep-G2 and MCF-7 cancerous cell lines. EA-AS was found to contain 55 significant compounds identified through gas chromatography mass spectrophotometry (GCMS). The most abundant compounds were 1,4-dimethoxy-6,7,8,9-tetrahydro-5-benzocycloheptenone (26.04%), hexa-2,4-diyn-1-ylbenzene (8.40%), dihydrobenzo[b]fluoranthene (6.10%), ethanone, 1-[2,3-dihydro-2-(1-methylethenyl)-5-benzofuranyl (6.10%), and valerenol (4.08%). GC mass analysis confirmed the antioxidant properties of AS by detecting several compounds with antioxidant activity, including hexa-2,4-diyn-1-ylbenzene, nerolidol, spathulenol, -naphthalenem ethanol, decahydro-4-trimethyl-8-methylene, hexadecenoic acid, tremetone, desmethoxyencecalin, heptadecyn-1-ol, thunbergol, hexadecanol, dotriacontane, taylorione, ligulatin, retinoic acid, and falcarinol. The analysis of EA-AS reveals that it is a rich source of valuable phytochemicals: total Phenolic Content: a promising 4,264 μg/mL /, suggesting substantial biological and pharmacological potential. Total tannin content: 391.17 μg/mL, indicating potential applications in industries like nutraceuticals, pharmaceuticals, and cosmetics. Total flavonoid content exceptionally high at 5,163 μg/mL, while the total alkaloid content measured 1,036.26 μg/mL. Additionally, EA-AS demonstrated antioxidant activity with an EC50 of 30.6 μg/mL. In conclusion, the comprehensive analysis of the EA-AS reveals its immense potential as a rich source of valuable phytochemicals with diverse bioactivities, warranting further in-depth studies to unlock its full pharmaceutical and commercial prospects. Our results suggest substantial biological and pharmacological prospects for EA-AS as a promising antimicrobial, anticancer, and potent antioxidant.

Slippery Liquid-Infused Porous Surfaces Containing UiO-66 Incorporated with 8-Hydroxyquinoline for Excellent Corrosion Protection of AZ31 Mg Alloys.

The conventional slippery liquid-infused porous surfaces (SLIPSs) provide relatively limited corrosion protection and self-healing performance for AZ31 Mg alloys. To this end, 8-hydroxyquinoline (8-HQ) was incorporated into a zirconium-based metal-organic framework UiO-66 through coordination (8-HQ@UiO-66), which was then dispersed into silicone oil to fabricate nanoparticle-enhanced-SLIPSs (8-HQ@UiO-66-SLIPSs). Especially, the influences of 8-HQ@UiO-66 concentration on the surface morphology, surface hydrophobicity, and corrosion resistance were studied. It was found that the surface hydrophobicity first increased and then decreased with increasing concentration, showing the highest water contact angle of 121.2° at a concentration of 1 mg mL-1 (8-HQ@UiO-66-SLIPS-1). This was attributed to the development of well-constructed hierarchical micro/nanostructures. Moreover, it also exhibited the best anticorrosion property, with the lowest corrosion current density of 1.24 × 10-10 A cm-2 and the highest impedance modulus of 9.88 × 108 Ω cm2 at 0.01 Hz, primarily associated with the synergistic interaction of 8-HQ and UiO-66. Further, the self-healing performance was evaluated using the scanning vibration electrode technique (SVET), verifying the superior self-healing performance of 8-HQ@UiO-66-SLIPS-1. Hence, the nanoparticle-enhanced-SLIPSs exhibit considerable potential in the corrosion protection of Mg alloys, thereby accelerating their extensive applications in industry.