Search Results (430)

Organoids allow to model healthy and diseased human tissues. and have applications in developmental biology, drug discovery, and cell therapy. Traditionally cultured in immersion/suspension, organoids face issues like lack of standardization, fusion, hypoxia-induced necrosis, continuous agitation, and high media volume requirements. To address these issues, we developed an air–liquid interface (ALi) technology for culturing organoids, termed AirLiwell. It uses non-adhesive microwells for generating and maintaining individualized organoids on an air–liquid interface. This method ensures high standardization, prevents organoid fusion, eliminates the need for agitation, simplifies media changes, reduces media volume, and is compatible with Good Manufacturing Practices. We compared the ALi method to standard immersion culture for midbrain organoids, detailing the process from human pluripotent stem cell (hPSC) culture to organoid maturation and analysis. Air–liquid interface organoids (3D-ALi) showed optimized size and shape standardization. RNA sequencing and immunostaining confirmed neural/dopaminergic specification. Single-cell RNA sequencing revealed that immersion organoids (3D-i) contained 16% fibroblast-like, 23% myeloid-like, and 61% neural cells (49% neurons), whereas 3D-ALi organoids comprised 99% neural cells (86% neurons). Functionally, 3D-ALi organoids showed a striking electrophysiological synchronization, unlike the heterogeneous activity of 3D-i organoids. This standardized organoid platform improves reproducibility and scalability, demonstrated here with midbrain organoids. The use of midbrain organoids is particularly relevant for neuroscience and neurodegenerative diseases, such as Parkinson’s disease, due to their high incidence, opening new perspectives in disease modeling and cell therapy. In addition to hPSC-derived organoids, the method’s versatility extends to cancer organoids and 3D cultures from primary human cells. Full article

The development of Industry 4.0 has accelerated the adoption of sophisticated technologies, including Digital Twins (DTs), Artificial Intelligence (AI), and cybersecurity, within Additive Manufacturing (AM). Enabling real-time monitoring, process optimization, predictive maintenance, and secure data management can redefine conventional manufacturing paradigms. Although their individual importance is increasing, a consistent understanding of how these technologies interact and collectively improve AM procedures is lacking. Focusing on the integration of digital twins (DTs), modular AI, and cybersecurity in AM, this review presents a comprehensive analysis of over 137 research publications from Scopus, Web of Science, Google Scholar, and ResearchGate. The publications are categorized into three thematic groups, followed by an analysis of key findings. Finally, the study identifies research gaps and proposes detailed recommendations along with a framework for future research. The study reveals that traditional AM processes have undergone significant transformations driven by digital threads, digital threads (DTs), and AI. However, this digitalization introduces vulnerabilities, leaving AM systems prone to cyber-physical attacks. Emerging advancements in AI, Machine Learning (ML), and Blockchain present promising solutions to mitigate these challenges. This paper is among the first to comprehensively summarize and evaluate the advancements in AM, emphasizing the integration of DTs, Modular AI, and cybersecurity strategies. Full article

Cultured meat is emerging as a sustainable alternative to conventional animal agriculture, with scaffolds playing a central role in supporting cellular attachment, growth, and tissue maturation. This review focuses on the development of gel-based hybrid biomaterials that meet the dual requirements of biocompatibility and food safety. We explore recent advances in the use of naturally derived gel-forming polymers such as gelatin, chitosan, cellulose, alginate, and plant-based proteins as the structural backbone for edible scaffolds. Particular attention is given to the integration of food-grade functional additives into hydrogel-based scaffolds. These include nanocellulose, dietary fibers, modified starches, polyphenols, and enzymatic crosslinkers such as transglutaminase, which enhance mechanical stability, rheological properties, and cell-guidance capabilities. Rather than focusing on fabrication methods or individual case studies, this review emphasizes the material-centric design strategies for building scalable, printable, and digestible gel scaffolds suitable for cultured meat production. By systemically evaluating the role of each component in structural reinforcement and biological interaction, this work provides a comprehensive frame work for designing next-generation edible scaffold systems. Nonetheless, the field continues to face challenges, including structural optimization, regulatory validation, and scale-up, which are critical for future implementation. Ultimately, hybrid gel-based scaffolds are positioned as a foundational technology for advancing the functionality, manufacturability, and consumer readiness of cultured meat products, distinguishing this work from previous reviews. Unlike previous reviews that have focused primarily on fabrication techniques or tissue engineering applications, this review provides a uniquely food-centric perspective by systematically evaluating the compositional design of hybrid hydrogel-based scaffolds with edibility, scalability, and consumer acceptance in mind. Through a comparative analysis of food-safe additives and naturally derived biopolymers, this review establishes a framework that bridges biomaterials science and food engineering to advance the practical realization of cultured meat products. Full article

Background: Precision medicine refers to the formulation of personalized drug regimens according to the individual characteristics of patients to achieve optimal efficacy and minimize adverse reactions. Additive manufacturing (AM), also known as three-dimensional (3D) printing, has emerged as an optimal solution for precision drug delivery, enabling customizable and the fabrication of multifunctional structures with precise control over morphology and release behavior in pharmaceutics. However, the influence of 3D printing parameters on the printed tablets, especially regarding in vitro and in vivo performance, remains poorly understood, limiting the optimization of manufacturing processes for controlled-release profiles. Objective: To establish the fabrication process of 3D-printed controlled-release tablets via comprehensively understanding the printing parameters using fused deposition modeling (FDM) combined with hot-melt extrusion (HME) technologies. HPMC-AS/HPC-EF was used as the drug delivery matrix and carbamazepine (CBZ) was used as a model drug to investigate the in vitro drug delivery performance of the printed tablets. Methodology: Thermogravimetric analysis (TGA) was employed to assess the thermal compatibility of CBZ with HPMC-AS/HPC-EF excipients up to 230 °C, surpassing typical processing temperatures (160–200 °C). The formation of stable amorphous solid dispersions (ASDs) was validated using differential scanning calorimetry (DSC), hot-stage polarized light microscopy (PLM), and powder X-ray diffraction (PXRD). A 15-group full factorial design was then used to evaluate the effects of the fan speed (20–100%), platform temperature (40–80 °C), and printing speed (20–100 mm/s) on the tablet properties. Response surface modeling (RSM) with inverse square-root transformation was applied to analyze the dissolution kinetics, specifically t_50% (time for 50% drug release) and Q_4h (drug released at 4 h). Results: TGA confirmed the thermal compatibility of CBZ with HPMC-AS/HPC-EF, enabling stable ASD formation validated by DSC, PLM, and PXRD. The full factorial design revealed that printing speed was the dominant parameter governing dissolution behavior, with high speeds accelerating release and low speeds prolonging release through porosity-modulated diffusion control. RSM quadratic models showed optimal fits for t_50% (R² = 0.9936) and Q_4h (R² = 0.9019), highlighting the predictability of release kinetics via process parameter tuning. This work demonstrates the adaptability of polymer composite AM for tailoring drug release profiles, balancing mechanical integrity, release kinetics, and manufacturing scalability to advance multifunctional 3D-printed drug delivery devices in pharmaceutics. Full article

The structural design of rail vehicle bodies significantly influences rail vehicle performance, passenger comfort, and operational efficiency. This study presents a comparative analysis of three key concepts of a rail vehicle body, namely a differential, an integral, and a hybrid structure, with a focus on their structural principles, material utilization, and implications for manufacturability and maintenance. Three rail vehicle body variants were developed, each incorporating a low-floor configuration to enhance accessibility and interior layout flexibility. The research explores the suitable placement of technical components such as a power unit and an air-conditioning system, and it evaluates interior layouts aimed at maximizing both passenger capacity and their travelling comfort. Key features, including door and window technologies, thermal comfort solutions, and seating arrangements, are also analyzed. The study emphasizes the importance of compromises between structural stiffness, reparability, production complexity, and passenger-oriented design considerations. A part of the research includes a proposal of three variants of a rail vehicle body frame, together with their strength analysis by means of the finite element method. These analyses identified that the maximal permissible stresses for the individual versions of the frame were not exceeded. Findings contribute to the development of more efficient, accessible, and sustainable regional passenger rail vehicles. Full article

Nanotechnology, as a burgeoning interdisciplinary field, has a significant application potential in food nutrition and human health due to its distinctive structural characteristics and surface effects. This paper methodically examines the recent advancements in nanotechnology pertaining to food production, functional nutrition delivery, and health intervention. In food manufacturing, nanoparticles have markedly enhanced food safety and quality stability via technologies such as antimicrobial packaging, intelligent sensing, and processing optimization. Nutritional science has used nanocarrier-based delivery systems, like liposomes, nanoemulsions, and biopolymer particles, to make active substances easier for the body to access and target. Nanotechnology offers innovative approaches for chronic illness prevention and individualized treatment in health interventions by enabling accurate nutritional delivery and functional regulation. Nonetheless, the use of nanotechnology encounters hurdles, including safety evaluations and regulatory concerns that require additional investigation. Future research should concentrate on refining the preparation process of nanomaterials, conducting comprehensive examinations of their metabolic mechanisms within the human body, and enhancing pertinent safety standards to facilitate the sustainable advancement of nanotechnology in food production, nutrition, and health. Full article

In the context of increasing demands for sustainability and individualization in the food industry, additive manufacturing (AM) represents a promising technology with the potential to transform manufacturing processes. This study proposes an integrated engineering–environmental analysis of the applicability of additive manufacturing in the food sector through a combined methodological framework, including techno-economic assessment (TEA) and life cycle assessment (LCA). This article provides a structured methodology and practical engineering models for assessing additive manufacturing. These can support strategic decision-making by industrial manufacturers and research communities aiming for sustainable and flexible manufacturing systems. Full article

Semiconductor device fabrication is conducted through highly precise manufacturing processes. An essential component of the semiconductor package is the lead frame on which the silicon dies are assembled. Impurities such as oxides or organic matter on the surfaces have an impact on the process yield. Plasma cleaning is a vital process in semiconductor manufacturing, employed to enhance production yield through precise and efficient surface preparation essential for device fabrication. This paper explores the various facets of plasma cleaning, with a particular emphasis on its application in the cleaning of lead frames used in semiconductor packaging. To provide comprehensive context, this paper also reviews the critical role of plasma in advanced and emerging packaging technologies. This study investigates the fundamental physics governing plasma generation, the design of plasma systems, and the composition of the plasma medium. A central focus of this work is the comparative analysis of different plasma systems in terms of their effectiveness in removing organic contaminants and oxide residues from substrate surfaces. By utilizing reactive species generated within the plasma—such as oxygen radicals, hydrogen ions, and other chemically active constituents—these systems enable a non-contact, damage-free cleaning method that offers significant advantages over conventional wet chemical processes. Additionally, the role of non-reactive species, such as argon, in sputtering processes for surface preparation is examined. Sputtering is the ejection of individual atoms from a target surface due to momentum transfer from an energetic particle (usually an ion). Sputtering is therefore a physical process driven by momentum transfer. Energetic ions, such as argon (Ar⁺), are accelerated from the plasma to bombard a target surface. Upon impact, these ions transfer sufficient kinetic energy to atoms within the material’s lattice to overcome their surface binding energy, resulting in their physical ejection. This paper also provides a comparative assessment of various plasma sources, including direct current, dielectric barrier discharge, radio frequency, and microwave-based systems, evaluating their suitability and efficiency for lead frame cleaning applications. Furthermore, it addresses critical parameters affecting plasma cleaning performance, such as gas chemistry, power input, pressure regulation, and substrate handling techniques. The ultimate aim of this paper is to provide a concise yet comprehensive resource that equips technical personnel with the essential knowledge required to make informed decisions regarding plasma cleaning technologies and their implementation in semiconductor manufacturing. This paper provides various tables which provide the reader with comparative assessments of the various plasma sources and gases used. Scoring mechanisms are also introduced and utilized in this paper. The scores achieved by both the sources and the plasma gases are then summarized in this paper’s conclusions. Full article

This study empirically examines the impact of 30% alternative fuel (AF) adoption on the emission of CO₂ to the environment in the UAE cement industry. The researchers employed a quantitative method to robustly analyze secondary data obtained from the 12 cement manufacturing units of the UAE, the International Energy Agency (IEA), the United States Geological Survey (USGS), and peer-reviewed published papers. The researcher’s main focus was on data from 2018 to 2024 and aligned that with the UAE Green Agenda 2030. The data analysis was conducted through a well-known software, the Statistical Package for Social Sciences (SPSS), and tests like descriptive statistics, correlation, and regression were employed. The correlation analysis showed that there is a strong negative relationship between AF adoption and CO₂ emissions. The test also showed that the relationship is inverse, that is, increasing the adoption rate of AF lowers CO₂ emissions and thus positively impacts the environment. The Pearson correlation analysis (r = −0.82) showed a strong inverse relationship between the independent and dependent variables. This strong relationship was further revealed and confirmed by the regression analysis, and AF as an individual independent variable explained a 67% reduction in CO₂ emission (R² = 0.67), while a combination with mediating variables, such as economic incentives and the integration of advanced technologies, further increased the impact to 83%, where the explanatory power jumped to R² = 0.83 (p < 0.001). As the relationship is strongly inverse between the independent and dependent variables, this reinforces the hypothesis that AF adoption is a good strategy to decarbonize the production of cement and make the operations sustainable. Full article

Three-dimensional food printing (3DFP), a specialized application of additive manufacturing (AM), employs a layer-by-layer deposition process guided by digital image files to fabricate edible structures. Utilizing heavily modified 3D printers and Computer-Aided Design (CAD) software technology allows for the precise creation of customized food items tailored to individual aesthetic preferences and nutritional requirements. Three-dimensional food printing holds significant potential in revolutionizing the food industry by enabling the production of personalized meals, enhancing the sensory dining experience, and addressing specific dietary constraints. Despite these promising applications, 3DFP remains one of the most intricate and technically demanding areas within AM, particularly in the context of modern gastronomy. Challenges such as the rheological behaviour of food materials, print stability, and the integration of cooking functions must be addressed to fully realize its capabilities. This article explores the possibilities of applying classical modified 3D printers in the food industry. The behaviour of certain recipes is also tested. Two test case scenarios are covered. The first scenario is the work and formation of a homogenized meat mass. The second scenario involves finding a chocolate recipe that is suitable for printing relatively detailed chocolate decorative elements. The current advancements, technical challenges, and future opportunities of 3DFP in the field of engineering, culinary innovation and nutritional science are also explored. Full article

Fennel (Foeniculum vulgare), a member of the Apiaceae family, is known for its culinary and medicinal uses, as well as its potential to cause allergic reactions. Thermal and nonthermal technologies are commonly applied during the production of fruit and vegetable-based products, which may contain allergenic proteins. Consequently, understanding how these processing treatments affect allergenicity is crucial for managing allergenic risks during manufacturing and for identifying technologies that can reduce the allergenic potential of the final products. Currently, there is limited information available on how thermal and ultrasonic processing methods affect the allergenic properties of fennel. The aim of this study was to investigate the effects of ultrasound and heat treatment on the in vitro immunoreactivity of protein extracts from fennel. After sonication and heat treatment, the protein extracts were analyzed by denaturing polyacrylamide gel electrophoresis, Western blot and enzyme-linked immunosorbent assay. All treatments altered the protein patterns of fennel and partially degraded proteins in the range of 15–80 kDa. In addition, all treatments reduced IgE binding, indicating lower allergenicity. Western blotting with IgE from fennel-allergic patients confirmed these effects. The ultrasound probe had the strongest effect, almost eliminating IgE reactivity for several allergens. Heat treatment reduced allergenicity by about 30%, while sonication showed a reduction of about 15% and lower. A larger sample size is needed to better understand the effects of these treatments and the differences in individual allergic responses. Full article

Hyaluronic acid (HA) dermal fillers represent a cornerstone of modern esthetic medicine, providing a minimally invasive solution for facial volume restoration and skin rejuvenation. However, the diversity of available products, each utilizing distinct crosslinking technologies, presents a challenge for objective comparison and clinical decision making. This study introduces a scientific framework to evaluate and categorize the physicochemical properties of HA fillers based on two key parameter groups: dynamic parameters (e.g., rheology and gel content) and consistency parameters (e.g., extrusion force, water uptake, and gel particle size). Using standardized methodologies, 23 commercially available fillers from five major manufacturers were analyzed, enabling cross-technology comparisons. The findings reveal how specific crosslinking approaches influence the rheological behavior, handling characteristics, and potential clinical applications. By offering an integrated and reproducible assessment, this work helps practitioners select the most suitable filler for individualized treatment plans and encourages manufacturers to enhance product transparency through harmonized testing protocols. Full article

Background/Objectives: The growing interest in personalized medicine has accelerated the exploration of three-dimensional (3D) printing technologies in pharmaceutical applications. This study investigates the potential of selective laser sintering (SLS) as a flexible, small-scale manufacturing method for atomoxetine tablets tailored for individualized therapy, comparing it with conventional direct compression. Methods: Atomoxetine tablets were produced using SLS 3D printing with varying laser scanning speeds and compared to tablets made via a compaction simulator. Formulations were based on hydroxypropyl methylcellulose (HPMC) as the primary matrix former. The physical properties, drug content, disintegration time, and dissolution profiles were evaluated. The structural and chemical integrity were assessed using SEM, FTIR, DSC, and XRPD. Results: The SLS tablets exhibited comparable mechanical properties and drug content to those made by compaction. Lower laser speeds produced harder tablets with slower disintegration, while higher speeds yielded more porous tablets with ultra-rapid drug release (>85% in 15 min). All tablets met the European Pharmacopoeia dissolution criteria. No significant drug–excipient interactions or changes in crystallinity were detected. Conclusions: SLS printing is a viable alternative to traditional tablet manufacturing, offering control over drug release profiles through parameter adjustment. The technique supports the development of high-quality, patient-specific dosage forms and shows promise for broader implementation in personalized pharmaceutical therapy. Full article

Digitalization has shaped every part of our world, from education to healthcare, from finance to entertainment, and from manufacturing to social interactions. This digital transformation has put tremendous power in the hands of individuals and delivered even better results than sticking to old, traditional ways. Such effective digitalization cannot be achieved easily; a good digitized system is the product of a lot of effort. In this paper, we explore the state-of-the-art advancements in smart education technologies, analyze existing digital solutions, and outline considerations for developing a tailored system to digitalize the Teaching at the Right Level (TaRL) assessment for Moroccan primary education. Our approach aims to bridge skill gaps by integrating serious games, adaptive learning techniques, and real-time analytics to enhance assessment effectiveness and ease educators’ workloads. Full article

Although traditional drug delivery methods are widely used in clinical practice, their inherent limitations often compromise therapeutic efficacy. Therefore, the development of more precise and efficient drug delivery systems is essential to enhance treatment outcomes and reduce adverse effects. Implantable drug delivery systems (IDDSs) represent intelligent platforms capable of autonomously regulating drug release in response to a patient’s physiological state. By enabling controlled release and personalized dosing, IDDSs have been widely applied in the management of chronic conditions such as diabetes and cancer. With ongoing technological advancements, modern IDDSs must meet increasing demands for both precision delivery and real-time physiological monitoring. In this context, organic electrochemical transistor (OECT)-based biosensors, known for their high sensitivity and excellent real-time signal processing capabilities, have demonstrated significant advantages in early diagnosis and continuous pathological monitoring. While both IDDS and OECT technologies have shown promising progress individually, challenges remain in achieving long-term stability, biocompatibility, scalable manufacturing, and system-level integration. This review systematically summarizes recent advances in IDDSs and functional OECT-based biosensors across various application domains. Furthermore, it explores potential future directions for their combined development, focusing on technological convergence, materials innovation, interdisciplinary collaboration, and the design of intelligent control systems. Looking ahead, the seamless integration of OECT-based biosensors with IDDSs holds the potential to create more precise and efficient closed-loop therapeutic platforms, accelerating progress in the fields of personalized and precision medicine. Full article