JOURNAL OF BIOENGINEERING, TECHNOLOGIES AND HEALTH

Analysis of Environmental and Social Factors in the Dynamics of Arboviruses in Bahia: A Methodological Proposal

Elias Reis da Silva — 2026-08-18

Arboviruses represent a significant challenge to public health, requiring a careful analysis of the environmental factors that impact their propagation. This research project mapped the relationships between epidemiological, climatic, and environmental data for the development of more effective public policies. The methodology adopted was based on experimental research and followed an iterative and incremental path, divided into stages ranging from data collection to the analysis and interpretation of the results found. The results include the development of a model of the relationships between variables and the analysis of the patterns found.

Growth Kinetics of Lactobacillus acidophilus, Lactiplantibacillus plantarum and Lacticaseibacillus rhamnosus under Different Cultivation Conditions

Sabrina dos Santos Rocha — 2026-08-18

Probiotics are live microorganisms that benefit the health of the host when administered in adequate amounts. Among the various microorganisms with probiotic activity, lactic acid bacteria (LAB) are commonly used for this purpose. In this perspective, we sought to evaluate the growth kinetics of strains of the species Lactobacillus acidophilus, Lactiplantibacillus plantarum, and Lacticaseibacillus rhamnosus, identifying suitable parameters for the cultivation process. The experiment was conducted with the addition of 1% inoculum in MRS broth. Microbial growth and specific rate (µspecific) were determined by measuring optical density (OD600) and cell viability on plates. Three treatments were tested (no agitation, 100, and 150 RPM) at a constant temperature of 37°C. The results obtained demonstrate that L. plantarum presented the highest specific growth rate (µspecific=0.34/h), followed by L. rhamnosus (µspecific=0.32/h) and L. acidophilus (0.19/h). We also demonstrated that all strains showed a decline in viability in the agitation treatments after 24 hours of cultivation. The kinetic values evaluated suggest that the three strains can be cultivated under static conditions for a period of 24 hours without compromising the productivity of the bioprocess in terms of cell viability.

Scientific Integrity and Innovation: A Macroprocess Model for Quality Management in Biomedical Laboratories

Saada Lima Chequer Fernandez — 2026-08-18

Biomedical research, especially when conducted in non-regulated environments, requires a quality management system that ensures traceability, scientific integrity, regulatory compliance, and institutional accountability. The lack of an effective system can lead to serious consequences such as the loss of scientific credibility, retraction of studies, and funding difficulties. However, many laboratories face challenges in structuring and applying these requirements in an integrated, continuous, and auditable manner. This article proposes a macroprocess model that organizes, operationalizes, and monitors the requirements of the WHO’s Quality Practices in Basic Biomedical Research (QPBR) Manual, adapting it to the practical/operational reality of laboratories. The model is structured into seven macroprocesses covering everything from institutional guidelines and personnel management to process digitization, data control, and results management. Each macroprocess is broken down into practical actions linked to key performance indicators and supported by a Standard Operating Procedure (SOP) that guides its step-by-step implementation. Operated in a digital environment (Miro), the model allows for both visual and collaborative tracking as well as evidence repository and continuous monitoring functions. In addition to serving as a technical guide, the model is a strategic tool for quality governance, promoting an organizational culture based on best practices, ethics, biosafety, and continuous improvement. It thus contributes to compliance with national standards and international guidelines while strengthening the credibility of scientific production in contexts of funding, publication, and international cooperation.

Development of Eucalyptus Fiber Masterbatch for Polyethylene Additives

Ilana O. Almeida — 2026-08-18

Growing concerns about sustainability and environmental impact have driven the development of alternative materials, such as polymer composites reinforced with natural fibers. However, a gap remains between scientific advances and large-scale industrial applications of these composites. This study aimed to develop eucalyptus fiber masterbatches as an alternative to optimize the production of high-density polyethylene (HDPE) composites. To obtain the masterbatches, high fiber concentrations (30%, 40%, and 50%) were incorporated into HDPE using twin-screw extrusion. From the 50% concentrate, composites containing 10% fiber were subsequently produced. Optical microscopy analysis showed good fiber dispersion and distribution in the polymer matrix, with an estimated average length of 7.48 mm. Mechanical testing revealed that, although fiber addition reduced tensile strength, it increased the elastic modulus, indicating structural reinforcement. In terms of impact strength, no changes were observed in the composite produced from the masterbatch, confirming adequate fiber distribution and the absence of agglomerates. Overall, the results demonstrate the feasibility of using eucalyptus fiber as reinforcement in HDPE composites produced from fiber concentrates.

Enhancing Hydrophobicity in Polyester Fabrics: The Role of PDMS and Silica in Surface Treatment

Paulo Romano Correia — 2026-08-18

Superhydrophobic fabrics play a key role in sustainable industrial applications, including oil/water separation and self-cleaning materials. This study addresses the challenge of enhancing hydrophobicity while preserving fabric functionality by modifying its surface via dip-coating with poly(dimethylsiloxane) (PDMS) and silica nanoparticles. Water contact angle (WCA) measurements were performed by depositing droplets on the fabric surface and capturing images via optical microscopy. The angles were determined using the tangent method in the ImageJ software. Eight measurements were taken per sample to ensure reproducibility. Untreated fabric exhibited a WCA of 84°, while PDMS coatings (2 wt% and 4 wt%) increased WCAs to 129.1° and 131.7°, respectively. The incorporation of silica nanoparticles further enhanced hydrophobicity (WCA: 137°), attributed to the increased roughness on the surface observed by optical microscopy (OM). However, higher PDMS concentrations (4 wt%) reduced fabric permeability, compromising the fluid flow. These results underscore the need for PDMS’s content optimization to maintain breathability while achieving robust water repellency.

Effects of Inoculation in Gray Cast Iron with the Addition of Niobium from Scrap

Henrique Silva — 2026-08-18

Casting is one of the oldest and most widely used manufacturing processes in industry; however, it is known for its high consumption of natural resources and the generation of waste and pollutants. Given the growing need for sustainable practices, this work proposes the reuse of metallic materials through the casting of gray cast iron ingots, using recycled scrap with the addition of niobium from a FeSiNb alloy. The inoculation technique was applied to investigate the influence of niobium on the microstructure and mechanical properties of the cast material. Metallographic and machining tests were carried out to evaluate the quality of the recycled material. The results indicate significant potential in using recycled materials combined with alloying elements such as niobium to improve metallurgical performance and reduce the environmental impact of casting production.

G.R.O.W Project: Development of a Technical Manual for Sustainable and Educational Cultivation in Governador Mangabeira

Alessandra Cardim — 2026-08-18

This study presents the G.R.O.W Project, an educational and technological initiative designed to strengthen sustainable agricultural practices in school and family gardens within the municipality of Governador Mangabeira, Bahia, Brazil. Addressing a socio-environmental context marked by land fragmentation, soil degradation, and limited access to agroecological knowledge, the project integrates the disciplines of geography, chemistry, and mathematics to develop low-cost, replicable solutions for food production and environmental education. Methodologically, the study employed an ethnoscientific approach, combining participatory observation, informal interviews, and bibliographic research to document local agricultural practices and integrate traditional knowledge into technical recommendations. The resulting manual details strategies for soil preparation, crop layout optimization, automated drip irrigation using Arduino-based moisture sensors, rainwater drainage systems, and ecological pest control through botanical extracts and biological competition. Experimental implementation demonstrated the technical and economic feasibility of these systems, with an estimated total cost of R$ 338.34, significantly lower than conventional alternatives, while ensuring water efficiency and crop productivity. The proposed solutions directly support food security, promote environmental preservation, and enhance community autonomy, positioning the school as a hub for rural innovation and socio-environmental transformation.

Assessment of Two Environmental Indicators in Agave sisalana Seedling Production

Ana Nadja Lopes Lucas — 2026-08-18

Sisal (Agave sisalana) is a renewable and versatile natural fiber widely used in ropes, rugs, bags, and composite materials for the automotive and construction industries. Beyond its industrial applications, sisal plays an important socioeconomic role, particularly in semi-arid regions such as northeastern Brazil, where it represents a major source of income for local communities. Maintaining this production chain, however, relies on continuous crop renewal, which depends directly on the availability of healthy and sustainable seedlings. In this context, nursery practices become essential for ensuring productivity and controlling phytosanitary problems, such as red rot, which has significantly affected sisal fields since the 1970s. This study evaluates key environmental indicators associated with the production of Agave sisalana seedlings, focusing on Global Warming Potential (GWP) and Cumulative Energy Demand (CED) of fossil origins. A gate-to-gate life cycle assessment was conducted to quantify the contributions of inputs such as fertilizers, polyethylene, electricity, and transportation. Fertilizer use was identified as the largest contributor to GWP (61.8%), while electricity (56.5%) and polyethylene (27.20%) were the largest contributors to cumulative energy demand. These results highlight significant opportunities for sustainability improvements through renewable energy adoption, input optimization, and enhanced operational efficiency. The integrated assessment provides a basis for advancing sustainable nursery practices and reducing the environmental footprint of Agave sisalana seedling production. Nevertheless, a more comprehensive assessment including additional environmental indicators is required to capture the full range of impacts and to guide more robust sustainability strategies.

Biogas Generation Potential from Swine Manure in the Microregion of Feira de Santana, Brazil

Tiago Silva e Silva — 2026-08-18

This study assesses the potential for biogas generation from swine manure in the microregion of Feira de Santana, Bahia, Brazil, an area with significant pig farming activity. The improper disposal of swine manure poses significant environmental risks, including water and soil pollution and the emission of greenhouse gases. This research aims to quantify the energy potential of these residues by applying anaerobic digestion technology. The methodology involved collecting data on the swine population from official sources such as IBGE and ADAB for the year 2018. Theoretical models and stoichiometric equations were used to estimate the daily and annual production of manure, the potential for biogas generation, and its corresponding energy value. The results indicate a significant potential for biogas production, estimated at approximately 16,083 m3/day, with a methane (CH4) content of about 9,650 m3/day. This volume could be converted into approximately 36.67 MWh of electricity daily, assuming a 35% conversion efficiency. The conclusion highlights the technical feasibility and environmental benefits of implementing biodigesters in the region, transforming an environmental liability into a valuable renewable energy asset, contributing to the local energy matrix and promoting sustainable development. The most viable application identified is the use of biogas as a substitute for cooking gas (LPG), offering a rapid financial return for farmers.

Operational Modeling of Green Hydrogen Production in Sugarcane Biorefineries Considering Electricity Price Variability

Julia Bahia Hufnagel Cavalcante — 2026-08-18

This study evaluates green hydrogen production from surplus electricity in sugarcane biorefineries, considering partial electrolyzer operation as a function of electricity price. A techno-economic model was developed to estimate the Levelized Cost of Hydrogen (LCOH) under different electricity price scenarios. The results indicate that electricity cost is the main driver of LCOH, accounting for approximately 45% of total annual cost under low-price conditions and reaching values close to 80% in high-price scenarios. Distinct operational regimes were identified, with full electrolyzer utilization at low electricity prices (0.04–0.06 R$/kWh), resulting in LCOH between 10.7 and 11.8 R$/kg, and reduced operation at higher prices, leading to a sharp increase in costs. A critical electricity price range between 0.10 and 0.16 R$/kWh was identified, above which the economic viability of green hydrogen deteriorates significantly. Although competitive with values reported in the literature for green hydrogen, the results indicate limited competitiveness compared to grey hydrogen and closer proximity to blue hydrogen costs under favorable conditions. Overall, the findings highlight the potential of the Brazilian sugarcane sector for decentralized green hydrogen production under low-cost electricity conditions.

Climate Vulnerability in Solar Microgeneration: Analysis of the Impacts of Urban Flooding on Photovoltaic Systems

Diogo Antonio Queiroz Gomes — 2026-08-18

The increased frequency of extreme weather events, especially floods, has exposed the vulnerability of photovoltaic microgeneration systems in urban areas. This theoretical, descriptive study analyzed the physical and operational impacts associated with flooding, focusing on three recurring categories in the literature: inverter damage, photovoltaic module failure, and electric shock risk. In addition to financial losses, structural damage was identified, which impacts the safety and resilience of these systems. The results highlighted the importance of preventive measures, such as elevating sensitive components, adopting moisture-resistant materials, and adopting safe shutdown protocols. The conclusion is that, although solar microgeneration is strategic for the energy transition, it directly depends on the adoption of adaptive solutions to mitigate vulnerabilities during extreme hydrometeorological episodes.

Gamified Strategies for Teaching Construction Planning

Regina Maria Cunha Leite — 2026-08-18

This study examines a gamified interface that can be accessed over the Web and aims to develop social and cognitive skills in students enrolled in undergraduate civil engineering and technical building courses who will ultimately work in construction companies. The methodological approach chosen is Design Science. This study is aligned with the generalization phase of a gamified solution for construction workers. To support the activities developed in the classroom, considering aspects of context, educational objectives, required skills, desired behaviors, and interactions, the gamified system was evaluated by 7 teachers and students, who focused on the functionalities, usability of the system (System Usability Scale - SUS) and promotability (Net Promoter Score - NPS). It also helps future technicians and engineers learn the importance of meeting deadlines, planning, and organizing the dynamics of the work that needs to be done, negotiating, and making decisions as a group, and reading the instructions to perform the tasks that need to be done in planning and budgeting for construction sites. The approach that the model takes to teach construction planning and budgeting is new and can captivate students, as well as encourage leadership and teamwork among the participants.

Numerical and Experimental Analysis of Radial Compression in Umbilical Cables Using the Finite Alement Method

Bruno da Cunha Diniz — 2026-08-18

This study evaluates the performance of a two-dimensional numerical radial compression model applied to umbilical cables, comparing its results with experimental data. These cables are multifunctional structures essential to the oil and gas industry, responsible for interconnecting platforms and subsea systems, enabling control, monitoring, and fluid injection. Their internal configuration may include hydraulic hoses, electrical cables, optical fibers, steel tubes, filler elements, and armor layers. Installation is carried out by Pipe Laying Support Vessels (PLSVs), operating in vertical or horizontal lay modes. During installation, tensioners apply radial compression and axial tension, and, secondarily, cause radial crushing of the armor layers onto the core due to their helical arrangement. The numerical model was developed using the Finite Element Method in HyperWorks, with OptiStruct as the solver, adopting two-dimensional elements under the plane stress assumption. Loading was divided into three stages, simulating internal pressurization, shoe compression, and crushing pressure from axial tension. Layer interactions were assessed with Helica software. The results showed good agreement for residual and compressed diameters, with absolute errors <1.5 mm and relative errors <1% in most measurements. However, larger discrepancies were observed in residual ovalization, particularly for low-magnitude values, where the relative error was amplified. Thus, the use of absolute error is recommended as the criterion for evaluating sensitive quantities, such as ovalization and deformation.

Development of the Goodman Diagram for DD5 Composite Using a Modular ANN

Bruno da Cunha Diniz — 2026-08-18

This work presents an analysis of how the learning rate in a modular Artificial Neural Network (ANN) influences the development of the Goodman Diagram for the DD5 composite material. Experimental data involving multiple S-N curves were collected, and a mathematical approach based on the Generalized Power Law was employed to determine the stress amplitude and the average number of cycles to failure. The Goodman Diagram was constructed by calculating the mean stress from the stress amplitude and fatigue ratio. Data normalization was applied to prevent neuron saturation and enhance the generalization capability of the ANN. For training, three fatigue ratio values (R = 0.1, 2, and 10) were chosen, while an additional value (R = 0.5) was reserved for validation purposes. The hidden layer neuron count varied from 5 to 25, with learning rates tested at 0.05, 0.1, and 0.5 over 3000 training epochs. Analysis of the mean squared error (MSE) demonstrated that learning rates of 0.05 and 0.1 yielded errors on the order of 10⁻⁴, whereas the 0.5 rate produced higher errors around 10⁻³. The best performance was achieved with the 0.1 learning rate, as its Goodman Diagram curves closely matched the experimental data, reflecting superior learning ability and robustness of the model. This methodology illustrates that modular ANNs provide an efficient, fast, and cost-effective alternative for fatigue life analysis of composite materials, supporting improvements in structural design with enhanced safety and reliability.

Grover's Algorithm Using IBM's Fake Providers

Frank Acasiete — 2026-08-18

In this work we will show Grover's algorithm using Fake Providers which are images of real quantum computers to give us an idea of their behavior in the implementation in Qiskit and we will show the fidelities with respect to the quantum simulator which gives us the result closest to the analytical one.

Immersive Quantum Phenomena Laboratories: Principle of Light and Polarization

Rafael Bulcão — 2026-08-19

Teaching quantum physics concepts and phenomena can be facilitated through experimental practices. However, these practices are often costly and require dedicated space, making them unfeasible for low-resource educational institutions. Given these limitations, the use of virtual and augmented reality technology has emerged as an intermediary mechanism and teaching resource for quantum physics teaching. This study presents the preliminary development of the designed artifact and the applicability of an immersive laboratory to demonstrate the phenomena of polarization and the principle of light. This research follows the design science research (DSR) approach, proposing the initial development of the artifact and indicating its applicability as a quantum physics teaching tool, specifically for quantum optics phenomena. The proof-of-concept was developed within the UNITY engine and tested with the Meta Quest 3 and 3s headsets. As a result, an immersive, interactive, and functional environment was created for testing, evaluation, and use as a teaching tool. This work contributes to the development of a mobile and reusable teaching laboratory, proposing innovation in the educational path of quantum technologies.

A Critical Review of the Trading of Surplus Renewable Energy in the Context of a Proposal for a Universalization System

Abdon Campos dos Santos — 2026-08-19

The growing participation of prosumers in the energy matrix has challenged the traditional models of regulation of the Brazilian electricity sector. This article presents a critical review of the current legislation, especially Law 14,300/2022, which regulates distributed micro and minigeneration, allowing credit compensation for the surplus of energy generated, but without enabling its free commercialization in the market. The limitations of the current remuneration model and the legislative proposals under discussion in Brazil are explored, such as Bill 4530/2019 and the sectoral reform planned for 2025–2028. In this context, it is proposed the development of a System for the Universalization of the Commercialization of Renewable Energy Surpluses, which is intended to unify and streamline the management of distributed generation credits, with the possibility of fostering innovation and sustainability in the Brazilian electricity sector.

Production of Cellulose Nanofibrils from Agro-Industrial Residues: Systematic Review and Experimental Design via Glycerol Swelling and Extrusion

Marina R. de Andrade — 2026-08-19

This study presents the systematic review and analysis of scientific articles on cellulose nanofibril (CNF) production from vegetable fibers, with a focus on environmentally friendly methods. The research followed the PRISMA protocol, selecting works that addressed complete extraction processes starting from vegetal fibers and reporting parameters such as length-to-diameter ratio (L/D), crystallinity, and yield of CNFs. Based on the bibliographic findings, a process flowchart and an experimental design were developed for CNF extraction from peach palm sheath, combining glycerol swelling, single-screw extrusion, and dilute acid hydrolysis (0.4–0.6% H₂SO₄). The choice of this route was based on its potential to promote controlled mechanical shear after glycerol plasticization, facilitating the opening of the cell wall and selective removal of amorphous regions while preserving crystallinity. The proposed methodology, supported by literature evidence, offers a technically feasible and sustainable approach for the valorization of agro-industrial residues, with potential for scaling up to pilot and industrial levels.

Review of the Main Parameters for the Development of Antifouling Supports

Jamile de Melo Carvalho — 2026-08-19

Marine biofouling is the process by which organisms such as barnacles, mollusks, algae, and corals attach themselves to submerged surfaces, compromising the performance of structures such as ship hulls, sensors, and pipes. This accumulation increases hydrodynamic resistance, raises fuel consumption, and favors the spread of invasive species. To mitigate these effects, anti-fouling coatings began to be used, initially formulated with highly toxic biocides such as tributyltin (TBT) and triphenyltin (TPT). However, due to the prolonged environmental impacts of these compounds, their use was banned. Given this scenario, alternatives based on natural compounds, polymers, bio-inspired surfaces, and nanoparticles have emerged. This study aimed to conduct a systematic review of the literature to identify the main parameters involved in the development of anti-fouling coatings applied in marine environments. The search was conducted in the ScienceDirect, Scopus, Web of Science, PubMed, and SciELO databases, using the keyword “antifouling,” with no time restriction. Approaches regarding material types, physicochemical properties, evaluation methods, and technical gaps were analyzed. VOSviewer software was used to map trends through keyword analysis. The results indicated a significant growth in publications from 2020 onwards, with contributions from China, the United States, and Brazil standing out. The review identified technological approaches, as well as testing standards that seek to ensure effectiveness, durability, and environmental safety. Despite advances, challenges such as field validation and the long-term durability of coatings remain significant obstacles.

Application of Machine Learning Techniques in the Optimization of Produced Water Treatment: A Literature Review

Diogo Souza Neiva Cardoso — 2026-08-19

The increasing complexity and variability of operational and physicochemical conditions in produced water treatment within the oil and gas industry require advanced computational solutions capable of managing multivariate data and modeling nonlinear behaviors. In this context, machine learning (ML) techniques have emerged as powerful tools for predicting critical parameters, optimizing treatment processes, and supporting decision-making. This study presents a critical review of publications from 2015 to 2025, focusing on the application of ML in the optimization of produced water treatment. The literature search was conducted in the Scopus database using specific descriptors and Boolean operators, and resulted in 81 selected studies. The number of publications has grown significantly since 2020, with the United States, China, Canada, and Brazil leading the research effort. The predominant techniques include artificial neural networks (ANNs), support vector machines (SVM), and ensemble models such as Random Forest and XGBoost, which showed high predictive accuracy (R² > 0.90 in most studies). Key input variables included operational parameters, ionic composition, and historical production data. Reported outcomes include improved removal efficiency, scale control, and operational cost reduction of up to 30%. Despite advances, limitations remain regarding overfitting risks, lack of long-term validation, and model interpretability. Overall, the findings suggest that ML techniques represent a promising approach to enhance produced water treatment, enabling more efficient, adaptable, and economically viable industrial applications.

Mapping the Scientific Production on Artificial Intelligence Training for Workers in the Industrial Sector

Maine Maurícia Serra Dantas — 2026-08-19

The advent of Artificial Intelligence (AI), based technologies within the industrial sector has precipitated profound and disruptive transformations in operational routines and work dynamics, exerting a direct influence on the skill profile required of workers. These changes directly impact the set of skills required of professionals, who now need to transcend traditional technical expertise and develop new dimensions of knowledge. Given this context, the objective of this study is to map national and international scientific production about AI literacy for industrial workers. This is narrative research whose purpose is to identify, as evidenced in the literature, both the gaps and opportunities for improvement in professional training. The study revealed that, despite growing industry investments in intelligent systems, initiatives aimed at cultivating AI literacy among non-specialist professionals continue to be neglected. Furthermore, the available courses show a low alignment with industrial practice and fail to adequately consider the sociocultural profile of participants. Research indicates that AI training should go beyond the acquisition of technical knowledge, encompassing the development of reflective, adaptive, and interventional skills. Moreover, the literature highlights the importance of integrating inclusive strategies that address cultural, generational, and skills-level diversity in industrial environments, as these factors directly influence engagement, learning outcomes, and the equitable distribution of opportunities in an AI-driven economy. The expected results of this research are to identify the main challenges that can support more effective and sustainable educational strategies for professional qualification in the use of AI in the industrial sector.

Technological Overview: Analysis of Patents Related to the Use of Core-Shell Catalysts and ALD in Solid Oxide Fuel Cells

Iuri Dantas Passos da Mota — 2026-08-19

This study analyzes patents registered between 2010 and 2025 involving solid oxide fuel cells (SOFC), atomic layer deposition (ALD), and core-shell structures. Data from Lens.org show that the combination of ALD and core-shell accounts for the largest number of registrations, reflecting broad industrial applicability. Combinations with SOFCs, on the other hand, have a low incidence, suggesting an area in the early stages of intellectual property protection. Only two registrations simultaneously associate SOFC, ALD, and core-shell, evidencing a little-explored technological frontier. Most filings occur in the US, Japan, South Korea, and the European Patent Office (EPO), with an emphasis on companies and research institutions. Brazil's presence is limited to one registration involving SOFC and core-shell, indicating the need for greater investment in applied research and intellectual property protection. The interface between these technologies represents an emerging niche with high innovative potential.