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    Dual‐Function Piezo‐Photocatalytic Systems for Sustainable Hydrogen Evolution and Environmental Remediation
    (Wiley, 2025-10-27)
    Nguyễn Hoàng Ly
    ;
    Sang Jun Son
    ;
    ;
    Yasser Vasseghian
    ;
    Sang‐Woo Joo
    Hydrogen (H) production and environmental cleanup, including pollutant breakdown, nano‐plastic removal, and CO reduction, are crucial for achieving environmental sustainability. Piezo‐photocatalysis has appeared in an optimistic approach to address environmental pollution and the escalating energy crisis. Although several reviews on H production and environmental cleanup using piezo‐catalytic technologies have been recently published, there is no review specifically focused on the literature related to dual‐functional piezo‐photocatalytic systems. This research aims to fill that gap as the field continues to grow rapidly. This study reviews dual‐function piezo‐photocatalytic systems, which can be easily fabricated to enhance the effective uncoupling and transfer of photoproduced holes and electrons for H production and environmental cleanup. First, piezoelectric materials, such as metal oxides (e.g., TiO, ZnO, BaTiO), 2D materials (e.g., MoS, MXenes, graphene‐based materials), perovskite materials, and composite/heterostructure materials, are introduced. Second, this work also explores various modification methods that enhance piezo‐photocatalytic efficiency, highlighting the remarkable properties of dual‐function systems designed for sustainable H production and environmental cleanup. Additionally, this work provides insight into the underlying mechanisms of piezo‐photocatalytic activity and suggests new pathways toward high‐performance piezo‐photocatalysts. Finally, this research discusses future directions for piezoelectric materials in environmental applications and sustainable H production.
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    Optimizing fish skin scaffolds for regenerative medicine: A comparative study of physical and chemical decellularization techniques
    (Elsevier BV, 2026-05)
    Esmat Azizipour
    ;
    Hengameh Honarkar
    ;
    Reza Yarahmadi
    ;
    Ahmad Vaez
    ;
    Mehdi Kian
    Fish skin scaffolds have great potential as biocompatible materials for skin regeneration, as they contain high levels of collagen and are structurally similar to the mammalian extracellular matrix (ECM). In this study, we compared the efficiency of physical decellularization with chemical decellularization using sodium dodecyl sulphate (SDS), sodium lauryl ether sulfate (SLES), and Triton X-100 at two concentrations (0.5% and 1%) and two time intervals (6 and 12 h). The decellularization efficiency and quality of scaffolds were assessed via histological observations, glycosaminoglycan (GAG) content, MTT assay to evaluate cytocompatibility, scaffold degradation rate, and scanning electron microscopy (SEM) observations. Silicone membrane physical decellularization preserves the integrity of the ECM, retains higher levels of GAG (1.5 µg/mm³) and higher levels of fibroblast viability (p < 0.001) and demonstrates limited degradation (< 20% on day 14) compared to chemical decellularization. Chemical decellularization caused some breakdown of the ECM, particularly treatments at 1%-12h, and was able to retain lower levels of GAG (0.5–0.9 µg/mm³) while degrading more (up to 150%). SEM shows the scaffolds from the physical decellularization treatment had a clearer fibrous structure compared to the variable porosity of the chemical treatment.
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    Prediction of consolidation behavior of modified clayey soil reinforced with artificial geo-fibers using explainable artificial intelligence
    (Elsevier BV, 2026-04)
    Mohammed Faisal Noaman
    ;
    Moinul Haq
    ;
    Sanjog Chhetri Sapkota
    ;
    Mehboob Anwer Khan
    ;
    Kausar Ali
    The present study illustrates an experimental, machine learning (ML), and explainable artificial intelligence integrated framework for the prediction of swelling pressure and consolidation characteristics of polypropylene geo-fiber (PPGF) reinforced clayey soil. A dataset of laboratory consolidation tests that included PPGF content, coefficient of consolidation (Cv), coefficient of compressibility (av), compression index (Cc), coefficient of volume change (mv), settlement (S), and swelling pressure values (ps) was compiled. The experimental observations revealed that the Cc, mv, and S was averagely decreased by about 39.5%, 45.31%, and 90%, respectively, at the optimum PPGF content of 0.3%, thus demonstrating the effectiveness of reinforcing fibers in restraining time-dependent deformation. Six machine learning models, including KNN, SVM, ANN, DT, RF, and XGB, were developed using five folds cross-validation. The XGB regressor proved to have the best predictive performances, having an R2 of 0.994 (with RMSE of 3.14) on training and generalizability in testing, with an R2 of 0.913 (having RMSE of 14.05). The remaining models demonstrated comparatively weaker performance, with ANN and DT exhibiting pronounced overfitting, while KNN and SVM failed to adequately capture the nonlinear swelling response of the gels. The XAI analysis using SHAP indicates that polypropylene geofiber content is the most influential factor governing swelling pressure, followed by mv and soil compressibility. An interactive graphical user interface was built based on the optimized XGB model to predict and visualize swelling pressure in real time from given user inputs. The proposed model integrates experimental validation with robust predictive capability and interpretability, and is complemented by a user-friendly interface and a reliable decision-support system for geotechnical design and soil improvement.
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    Fractional factorial design-based evaluation of physicochemical parameters affecting biodiesel properties from Chlorella sp. PG96
    (Elsevier BV, 2026-01)
    Roya Parichehreh
    ;
    Reza Gheshlaghi
    ;
    Mahmood Akhavan Mahdavi
    ;
    Biodiesel, as a renewable energy source synthesized through the transesterification of algal lipids, has received increasing attention in recent years. The quality of biodiesel derived from microalgal lipids depends largely on the composition of fatty acid methyl ester in the fuel. This research employed a fractional factorial design (2 ¹¹⁻⁷) to statistically screen eleven independent factors, including NaHCO3, CO2, MgSO4.7H2O, K2HPO4, NaNO3, NH4Cl, salinity, light spectrum, aeration rate, light intensity, and temperature, for achieving a rich fatty acid profile by Chlorella sp. PG96 (a strain isolated from municipal wastewater), as well as the synthesis of superior-quality biodiesel. The effects of all eleven physicochemical factors and their interactions on the growth characteristics (biomass and lipid production) of Chlorella sp. PG96 were thoroughly investigated in our previous study. According to the experimental results of the present study, the maximum concentrations of palmitic acid (32.23 ± 2.87 %), oleic acid (31.53 ± 3.31 %), saturated fatty acids (38.07 ± 4.03 %), and monounsaturated fatty acids (33.63 ± 3.36 %) in microalgal lipids were obtained when Chlorella sp. PG96 was grown at a low NaHCO3 concentration (0 mg L⁻¹) and white light irradiation. The estimated values of biodiesel properties such as iodine value, unsaturation degree, oxidation stability, cetane number, higher heating value, density, and kinematic viscosity were all in accordance with the quality benchmarks established by ASTM and EN 14214. The findings further demonstrated that temperature and light intensity represented the key determinants influencing fatty acid composition. Aeration rate and salinity had the most significant effects on the cetane number index, whereas the oxidation stability of algal oil was markedly affected by the concentrations of NaNO₃ and NaHCO₃. Moreover, ammonium as a nitrogen source and bicarbonate as a carbon source exhibited greater significance in fatty acid biosynthesis compared with nitrate and CO₂, respectively. The interactions between NaHCO₃ and the light spectrum, as well as between NaHCO₃ and NH₄Cl, were found to be the most significant for all measured responses. It is suggested that Chlorella sp. PG96, when cultivated with elevated NH₄Cl concentration and light intensity but under reduced temperature (320 mg L⁻¹, 22,500 Lux, and 20 °C, respectively), may act as a promising feedstock for biodiesel production.
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    Resveratrol protects against isoflurane-induced testicular injury: a stereological and molecular study in mice
    (Elsevier BV, 2026-01)
    Zahra Mohammadi
    ;
    Sanaz Alaee
    ;
    Majid Kamali-Dolat Abadi
    ;
    Somayyeh Karami-Mohajeri
    ;
    Zahra Khodabandeh
    Background This study examines the therapeutic effects of resveratrol, known for its antioxidant and anti-inflammatory properties, in mitigating the harmful effects of isoflurane, an inhalation anesthetic, on testicular tissues in mice. Methods Sixty adult male C57BL/6 mice were grouped into six categories: control (normal saline), isoflurane only (1.5% for 1-hour/day), low-dose Resveratrol (RSV, 50 mg/kg/day), high-dose RSV (100 mg/kg/day), isoflurane combined with low-dose RSV, and isoflurane combined with high-dose RSV. After 35-days, the mice were euthanized, and their testes were harvested for stereological analysis and the assessment of antioxidant and apoptotic markers. Results Exposure to isoflurane resulted in decreased seminiferous tubule volume and length, along with increased interstitial tissue volume of the testis. Co-treatment with resveratrol, especially at higher doses, mitigated these changes. Additionally, resveratrol modulated the expression of the apoptotic genes Bcl2l1, Bax , and Caspase-3 , and enhanced the expression of antioxidant genes GPX1, Sod1 , and catalase in mice that received isoflurane. Conclusions The findings suggest that resveratrol effectively counters isoflurane-induced damage in testicular structures and gene expression, enhancing tubular integrity and antioxidant defense. This indicates a potential therapeutic approach to protect against isoflurane-induced testicular toxicity.
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    Alginate hydrogel film reinforced with Fe3O4@SiO2/Schiff-base/Cu(II) nanoparticles in promoting diabetic wound healing
    (Elsevier BV, 2026-04)
    Sedigheh Azadi
    ;
    Alireza Abbaspour
    ;
    Seyed Reza Kasaee
    ;
    Farhad Koohpeyma
    ;
    Esmat Azizipour
    In the quest to enhance diabetic wound healing, we synthesized Fe3O4@SiO2/Schiff-base complex of Cu(II) magnetic nanoparticles (MNPs) embedded in sodium alginate hydrogel. This study analyzed the effects of 1% and 10% Cu(II) nanoparticles (NPs) concentrations on wound closure and tissue regeneration in a diabetic rat model. Streptozotocin-induced diabetic Sprague-Dawley rats were used to evaluate the in vivo efficacy of NPs. Characterization involved digital photography for wound closure quantification, histopathological analysis for tissue repair assessment, and statistical methods for data interpretation. Our findings indicated that the 1% Cu nanoparticle (NP) -embedded hydrogel significantly improved wound healing, including enhanced reepithelialization, collagen deposition, neovascularization, granulation tissue formation, and fibroblast activation, while also reducing inflammation. The 10% Cu NP formulation did not demonstrate the same level of efficacy, suggesting a concentration-dependent therapeutic window for copper ion release. This novel NP hydrogel showcases the potential of copper-based NPs in diabetic wound management, offering a cost-effective and promising approach for treating a global health issue.
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    Unveiling Environmental Sustainability Drivers: Green Innovation Insights From ISO 14001‐Certified Manufacturers With Robust Green Information Systems and Technological Intensity
    (Wiley, 2026-01-29)
    Jie Cheng
    ;
    Yi‐Cheng Zhang
    ;
    ;
    Harcharanjit Singh Mahinder Singh
    This paper examines the key drivers of green innovation and its subsequent influence on environmental sustainability performance, considering the moderating effects of the green information system and technological intensity. To validate the proposed research model, ISO 14001 manufacturing enterprises were invited to participate in a questionnaire. Following the receipt of 314 responses, the first-hand data underwent analysis through structural equation modeling employing the SmartPLS software. The findings revealed that green supplier integration and green digital learning orientation are critical variables driving green innovation, while green information system functions as a moderator of the link between green digital learning orientation and green innovation. Furthermore, green innovation exhibits a positive relationship with environmental sustainability performance, and technological intensity serves as a significant moderator that amplifies this relationship. Manufacturing companies can benefit from this study by learning the key elements influencing green innovation and, subsequently, environmental sustainability performance. Green digital learning is positively related to innovation, and the correlation is stronger when a green information system is present. Green innovation also deserves considerable attention, as it largely affects environmental sustainability performance, especially when technological intensity is higher, highlighting its importance in driving sustainable outcomes.
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    Multifunctional silver nanoparticles-based composites for SERS detection and photocatalytic degradation of micro- and/or nano-plastics
    (Elsevier BV, 2026-04)
    Nguyễn Hoàng Ly
    ;
    ;
    Yasser Vasseghian
    ;
    Sang-Woo Joo
    Micro- and/or nano-plastics (MNPs) pose an emerging environmental issue due to their widespread presence in aquatic habitats, persistence in the environment, and potential toxic effects on ecosystems and public health. Silver nanoparticles (AgNPs) are well-known not only as plasmonic materials but also as mediators of photocatalysis, which is one of the most promising tools for identifying and degrading MNPs. This review covers recent advances in surface-enhanced Raman scattering (SERS) detection and the photocatalytic degradation of common plastics (e.g., polystyrene, polypropylene, polyvinyl chloride, etc.) using multifunctional AgNPs-based composites. These SERS substrates can detect MNPs in contaminated environmental water with consistent signals and high sensitivity. Notably, upon irradiation, these composites produce reactive oxygen species, triggering chain reactions that break down polymer chains into new compounds. Although AgNPs-based composites are stable, their photocatalytic efficiency is often limited by poor solar spectrum utilization, mass transfer resistance, and electron-hole recombination, leading to lower degradation rates and variable results. Some research highlights the ongoing need to improve photocatalyst design, reactor setups, and assessment methods for degradation. Additionally, the possible formation of toxic intermediates raises safety concerns, underscoring the need for further studies on ecotoxicological effects. When combined with other treatment methods, AgNPs-based SERS detection and photocatalysis provide a promising approach for addressing MNPs and other emerging pollutants in water treatment.
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    Revolutionizing corrosion protection: MXenes as next-generation materials for sustainable and high-performance solutions
    (Elsevier BV, 2026-01)
    Ehsan Vafa
    ;
    Reza Bazarganlari
    ;
    Hengameh Honarkar
    ;
    Lobat Tayebi
    ;
    Peyman Asadi
    Corrosion is a pervasive problem that has spurred the development of innovative materials and technologies aimed at mitigating its impact across industries worldwide. MXenes, a rapidly growing family of 2D transition metal carbides, nitrides, and carbonitrides, have emerged as promising candidates for corrosion protection due to their exceptional properties, including high surface area, mechanical strength, electrical conductivity, and tunable surface chemistry. This review highlights the diverse applications of MXenes in corrosion science, particularly their use as corrosion-resistant coatings, inhibitors, and sensors. We emphasize the key properties, such as barrier performance, electrochemical activity, and the ability to form protective layers, that make MXenes highly effective in combating corrosion. Specific applications, including their role in composite coatings, self-healing systems, and multifunctional inhibitors in both acidic and alkaline environments, are discussed. Additionally, the potential in electrochemical corrosion monitoring and the mitigation of specific corrosion types, such as pitting and high-temperature corrosion, were explored. While these applications demonstrate promising performance, further research is needed to address challenges related to stability, scalability, and environmental impact. This review provides a comprehensive overview of current MXene-based corrosion protection technologies, aiming to inspire further innovation and advance the practical application of MXenes in addressing one of the most significant challenges in materials science today.