Search Results (57)

Green synthesis of copper oxide (CuO) nanoparticles offers a sustainable alternative to conventional chemical methods that often involve toxic reagents and harsh conditions. This study investigates the use of Tithonia diversifolia, an invasive species in Sri Lanka, as a bioreductant for the eco-friendly fabrication of CuO nanoparticles. Using copper sulfate (CuSO₄·5H₂O) as a precursor, eight treatments were conducted by varying precursor concentration, temperature, and reaction time to determine optimal conditions. A visible color change in the reaction mixture initially indicated nanoparticle formation. Among all the conditions, treatment T4 (5 mM CuSO₄, 80 °C, 2 h) yielded the most favorable results in terms of stability, morphology, and crystallinity. UV-Vis spectroscopic analysis confirmed the synthesis, with absorbance peaks between 265 and 285 nm. FTIR analysis revealed organic functional groups and characteristic metal–oxygen vibrations in the fingerprint region (500–650 cm⁻¹), confirming formation. SEM imaging showed that particles were mainly spherical to polygonal, averaging 125–150 nm. However, dynamic light scattering showed larger diameters (~240 nm) due to surface capping agents. Zeta potential values ranged from −16.0 to −28.0 mV, indicating stability. XRD data revealed partial crystallinity with CuO-specific peaks. These findings support the potential of T. diversifolia in green nanoparticle synthesis, suggesting a low-cost, eco-conscious strategy for future applications. Full article

Through a systematic review of sustainable rural dwelling recovery, this study offers a broader reflection on retrofitting practices, viewing eco-efficiency as a means to enhance both cultural heritage and agricultural landscapes. The work is based on the assumption that vernacular architecture in rural contexts embodies historical, cultural, and typological values worthy of preservation, while remaining adaptable to reuse through eco-efficient solutions and technological innovation. Using the PRISMA protocol, 115 scientific contributions were selected from 1711 initial records and classified into four macro-groups: landscape relationships; seismic and energy retrofitting; construction techniques and innovative materials; and morphological–typological analysis. Results show a predominance (over 50%) of passive design strategies, compatible materials, and low-impact techniques, while active systems are applied more selectively to protect cultural integrity. The study identifies replicable methodological models combining sustainability, cultural continuity, and functional adaptation, offering recommendations for future operational guidelines. Conscious eco-efficient retrofitting thus emerges as a strategic tool for the integrated valorization of rural landscapes and heritage. Full article

This article explores the integration of artificial intelligence (AI) in digital marketing through social and mobile networks and its role in fostering sustainable consumer behavior. AI enhances personalization, sentiment analysis, and campaign automation, reshaping marketing dynamics and enabling brands to engage interactively with users. A quantitative study conducted on 501 social media users evaluates how perceived benefits, risks, trust, transparency, satisfaction, and social norms influence the acceptance of AI-driven marketing tools. Using structural equation modeling (SEM), the findings show that social norms and perceived transparency significantly enhance trust in AI, while perceived benefits and satisfaction drive user acceptance; conversely, perceived risks and negative emotions undermine trust. From a sustainability perspective, AI supports the efficient targeting and personalization of eco-conscious content, aligning marketing with environmentally responsible practices. This study contributes to ethical AI and sustainable digital strategies by offering empirical evidence and practical insights for responsible AI integration in marketing. Full article

This investigation examines the psychological mechanisms governing human–virtual influencer relationships and their consequential impact on environmentally-conscious consumer behavior within digital marketing ecosystems. Employing theoretical frameworks from computer-mediated communication and social psychology, this study scrutinizes how algorithmically generated social media personalities cultivate para-social relationships that drive sustainable consumption patterns. The research operationalizes five core virtual influencer characteristics—expertise, similarity, attractiveness, familiarity, and para-social interaction—as predictive variables influencing relationship commitment and subsequent eco-conscious brand engagement. Consumer innovativeness functions as a moderating variable within this theoretical model. The data collection encompassed 677 respondents demonstrating active engagement with sustainability-focused virtual influencer content, analyzed through structural equation modeling (EQS 6.4) and the PLS-SEM methodology (SmartPLS 4.0). The empirical analysis reveals significant positive correlations between virtual influencer characteristics and relationship commitment, with similarity and attractiveness demonstrating the strongest predictive validity. Relationship commitment emerged as a significant mediator influencing sustainable brand attitudes, which subsequently affected purchase intentions for environmentally responsible products. Consumer innovativeness demonstrated positive moderating effects across all virtual influencer characteristics, with particularly robust effects observed for attractiveness and para-social interaction within sustainable brand contexts. This research advances the human–AI interaction literature by elucidating the psychological mechanisms through which virtual influencers facilitate consumer relationship formation and drive behavioral outcomes toward sustainable consumption practices. The findings provide empirically validated strategic frameworks for marketers developing virtual influencer campaigns that promote environmental stewardship, emphasizing the cultivation of perceived similarity and attractiveness while incorporating audience innovativeness as a critical segmentation variable in sustainable marketing initiatives. Full article

In the pursuit of environmental sustainability, reduced emissions, and alignment with circular economy principles, bio-epoxy resin nanocomposites have emerged as a promising alternative to traditional petroleum-based resins. This study investigates the development of novel bio-epoxy nanocomposites incorporating iron-oxide nanoparticles (Fe₂O₃, MnP) as multifunctional fillers at loadings of 0.5 wt.% and 3.0 wt.%. MnP nanoparticles were synthesized and subsequently functionalized with citric acid (MnP-CA) to enhance their surface properties. Comprehensive characterization of MnP and MnP-CA was performed using X-ray diffraction (XRD) to determine the crystalline structure, attenuated total reflection Fourier-transform infrared spectroscopy (ATR-FTIR), thermogravimetric analysis (TGA), and zeta potential measurements to confirm surface functionalization. The bio-epoxy resins matrix (bio-EP), optimized for compatibility with MnP and MnP-CA, was thoroughly analyzed in terms of chemical structure, thermal stability, curing behavior, dynamic–mechanical properties, and surface characteristics. Non-isothermal differential scanning calorimetry (DSC) was employed to evaluate the curing kinetics of both the neat (bio-EP) and the MnP/MnP-CA-reinforced composites, offering insights into the influence of nanoparticle functionalization on the resin system. Surface zeta potential measurements further elucidated the effect of filler content on the surface charge and hydrophilicity. Magnetic characterization revealed superparamagnetic behavior in all MnP- and MnP-CA-reinforced (bio-EP) composites. This research provides a foundational framework for the design of green bio-epoxy nanocomposites, demonstrating their potential as environmentally friendly materials and representing an emerging class of sustainable alternatives. The results underscore the viability of bio-epoxy systems as a transformative solution for advancing sustainable resin technologies across eco-conscious industries. Full article

Eco-friendly packaging for functional foods aims to reduce environmental impact while maintaining product integrity and ensuring consumer safety. Both the food industry and consumers must transition toward packaging solutions that are sustainable, biodegradable, and non-toxic. Among the key benefits of using environmentally friendly materials for functional food packaging are their sustainability, growing consumer preference, and regulatory compliance. Functional foods are products that offer health benefits beyond basic nutrition, such as enhancing immunity, improving digestion, or promoting overall well-being. This review emphasizes that the packaging of functional foods using an eco-friendly design approach is aligned with the Sustainable Development Goals and the consumers’ preferences. It included the definition and regulatory framework of functional foods, the bioactivity and health effects of bioactive compounds/microorganisms, packaging requirements and solutions for functional foods, as well as conventional and innovative analytical techniques for bioactive compound analysis. Eco-friendly packaging for functional foods is environmentally vital for waste reduction, socially crucial for meeting conscious demand, and economically sound for driving sustainable innovation and green markets. Full article

With the global emphasis on sustainable growth and development, the depletion of natural energy reserves due to reliance on fossil fuels and non-renewable sources remains a critical concern. Despite strides in transitioning to electrical mobility, rural and agricultural communities depend heavily on liquefied petroleum gas and firewood for cooking, lacking viable, sustainable alternatives. This study focuses on community-led efforts to advance biogas adoption, providing an eco-friendly and reliable energy alternative for rural and farming households. By designing and developing balloon-type anaerobic biodigesters, this initiative provides a robust, cost-effective, and scalable method to convert farm waste into biogas for household cooking. This approach reduces reliance on traditional fuels, mitigating deforestation and improving air quality, and generates organic biofertilizer as a byproduct, enhancing agricultural productivity through organic farming. The study focuses on optimizing critical parameters, including the input feed rate, gas production patterns, holding time, biodigester health, gas quality, and liquid manure yield. Statistical tools, such as descriptive analysis, regression analysis, and ANOVA, were employed to validate and predict biogas output data based on experimental and industrial-scale data. Artificial neural networks (ANNs) were also utilized to model and predict outputs, inspired by the information processing mechanisms of biological neural systems. A comprehensive database was developed from experimental and literary data to enhance model accuracy. The results demonstrate significant improvements in cooking practices, health outcomes, economic stability, and solid waste management among beneficiaries. The integration of statistical analysis and ANN modeling validated the biodigester system’s effectiveness and scalability. This research highlights the potential to harness renewable energy to address socio-economic challenges in rural areas, paving the way for a sustainable, equitable future by fostering environmentally conscious practices, clean energy access, and enhanced agricultural productivity. Full article

The depletion of the ozone layer and climate change have increased exposure to ultraviolet (UV) radiation, driving the search for natural photoprotective agents. Marine macroalgae, particularly Gracilaria sp. (Rhodophyta) and Sargassum polyceratium (Ochrophyta), are rich in UV-absorbing bioactives, such as mycosporine-like amino acids (MAAs) and fucoxanthin, offering natural alternatives to synthetic sunscreens. This study aimed to develop and optimize a nanoemulsion incorporating both algal extracts, with MAAs and fucoxanthin strategically distributed in the aqueous and oil phases, respectively, to enhance synergistic broad-spectrum UV protection. MAAs were quantified in Gracilaria sp. using UHPLC-DAD, revealing 8.03 mg/g dry weight, primarily composed of shinorine and porphyra-334. Fucoxanthin was identified in S. polyceratium at 0.98 mg/g dry weight. A Box–Behnken design (BBD) was employed to optimize the nanoemulsion, targeting minimal droplet size and optimal ζ potential. The resulting formulation achieved a droplet size less than 100 nm and a ζ potential less than −25.0 mV. In vitro spectrophotometric analysis demonstrated significant photoprotective potential. The nanoemulsion containing only 375 ppm of algal extracts exhibited a UVA ratio of 1.25 and a critical wavelength of 379 nm, meeting the criteria for broad-spectrum protection and outperforming the commercial natural filter Helioguard^®365. These results confirm the efficacy of combining red and brown algae extracts in a nanoemulsion platform to deliver sustainable, low-dose photoprotection. This work presents, for the first time, the incorporation of red and brown algae extracts into a single nanoemulsion system, representing a novel strategy to maximize the combined photoprotective potential of MAAs and fucoxanthin. Ultimately, this investigation contributes to the growing field of marine-derived sunscreens and supports the advancement of “blue beauty” innovations aligned with eco-conscious formulation principles. Full article

This paper provides a conceptual analysis of pollution control in the hospitality industry, focusing on pollution generated by hotel operations. Hotels produce significant waste, emissions, and wastewater, impacting environmental and public health. We propose a framework distinguishing between flow and stock pollutants to highlight how both immediate emissions and long-term pollutant accumulation inform pollution management strategies. Using a conceptual framework, with an optimal dynamic model for pollution control, we illustrate the trade-offs hotels face in optimizing pollution control. Practical methods, from regulatory compliance to voluntary sustainability initiatives and economic incentives, are explored to support effective pollution mitigation. While achieving zero emissions is often impractical, an optimal pollution level allows hotels to balance environmental responsibility with economic feasibility, contributing to sustainable tourism and aligning with the values of eco-conscious consumers. Full article

The present study investigates consumer preferences for eco-friendly practices implemented by outdoor sport brands, identifying which practices are perceived as most significant among the overall consumer group and within consumer segments differentiated by ecological consciousness. This study targeted consumers who had purchased outdoor sport brand products within the past one to two years. The results indicated that overall consumers regarded ‘Materials usage’, particularly ‘100% organic materials’, as the most critical eco-friendly attribute. The second most significant attribute identified was the ‘Type of campaign’, specifically ‘Consumer behavioral engagement campaigns’. ‘Carbon footprint reduction’, notably ‘Reducing 50% by 2030’, ranked third, while ‘Implementation of donations’ was considered the least important. Segment-specific analysis revealed that high-ecological-conscious consumers prioritized carbon footprint reduction more than other groups. Furthermore, the optimal combination of eco-friendly practices identified for overall and low-ecological-consciousness consumers consisted of using 100% organic materials, implementing consumer behavioral engagement campaigns, reducing carbon footprint by 50%, and actively participating in environmental conservation donations. Highly ecological-conscious consumers preferred a slightly adjusted combination, emphasizing 100% organic materials, followed by reducing carbon footprint by 50%, implementing consumer behavioral engagement campaigns, and actively participating in environmental conservation donations. These findings suggest that outdoor sport brands can strengthen their competitive advantage and sustainability by aligning eco-friendly practices with consumer preferences segmented by ecological consciousness. Full article

Biopolymers are revolutionizing the materials landscape, driven by a growing demand for sustainable alternatives to traditional petroleum-based materials. Sourced from biological origins, these polymers are not only environment friendly but also present exciting solutions in healthcare, packaging, biosensors, high performance, and durable materials as alternatives to crude oil-based products. Recently, biopolymers derived from plants, such as lignin and cellulose, alongside those produced by bacteria, like polyhydroxyalkanoates (PHAs), have captured the spotlight, drawing significant interest for their industrial and eco-friendly applications. The growing interest in biopolymers stems from their potential as sustainable, renewable materials across diverse applications. This review provides an in-depth analysis of the current advancements in plant-based and bacterial biopolymers, covering aspects of bioproduction, downstream processing, and their integration into high-performance next-generation materials. Additionally, we delve into the technical challenges of cost-effectiveness, processing, and scalability, which are critical barriers to widespread adoption. By highlighting these issues, this review aims to equip researchers in the bio-based domain with a comprehensive understanding of how plant-based and bacterial biopolymers can serve as viable alternatives to petroleum-derived materials. Ultimately, we envision a transformative shift from a linear, fossil fuel-based economy to a circular, bio-based economy, fostering more sustainable and environmentally conscious material solutions using novel biopolymers aligning with the framework of the United Nations Sustainable Development Goals (SDGs), including clean water and sanitation (SDG 6), industry, innovation, and infrastructure (SDG 9), affordable and clean energy (SDG 7), sustainable cities and communities (SDG 11), responsible production and consumption (SDG 12), and climate action (SDG 13). Full article

Generation Z is emerging as a powerful force in shaping global consumer behavior, particularly in the market of digital and technological products. This study examines how specific branding dimensions, such as online brand experience, engagement, image, trust, loyalty, awareness, behavioral intention, and brand knowledge, influence Gen Z’s purchase intention, emphasizing sustainable consumption. Sustainable consumption, in this context, refers to the preference for tech products that minimize the environmental impact through eco-friendly design, energy efficiency, and responsible sourcing. Using a quantitative approach, this cross-sectional research explores the effects of online brand experience, engagement, image, trust, loyalty, awareness, behavioral intention, and knowledge on purchasing newly launched technological products that align with sustainability. Data were collected from a Gen Z sample using a combination of convenience and systematic sampling, and multiple regression analysis identified the most significant predictors of purchase intention. The results indicate that online brand experience, brand image, brand trust, and brand loyalty play the most crucial roles, having a greater effects on Gen Z’s purchase intention, while brand awareness and knowledge also contribute. However, brand engagement and behavioral intention have weaker effects. These findings suggest that brands targeting Gen Z should prioritize building a strong, trustworthy, and engaging online presence while highlighting their sustainability efforts, and when Gen Z consumers have favorable digital interactions with a brand, perceive its image positively, trust it, and feel loyal to it, they are more likely to consider purchasing its sustainable offerings. This study enhances the understanding of Gen Z’s consumer behavior and offers insights for businesses seeking to foster sustainable consumption by highlighting the importance of developing marketing strategies that strengthen online brand experience, cultivate trust and loyalty, and clearly communicate sustainability values, such as through engaging digital content, transparent messaging, and eco-conscious branding, to effectively foster sustainable consumption among this environmentally conscious and digitally driven generation. Full article

Slope stability analysis requires particular attention to groundwater effects, where seepage–stress coupling fundamentally alters mechanical responses. This investigation develops a field-calibrated numerical model using monitoring data from a water diversion project in Yunnan, using finite element analysis based on seepage–stress coupling theory. Comparative stability assessments through strength reduction methodology evaluate three scenarios: non-seepage conditions, seepage–stress interaction, and cutoff wall implementation. Results demonstrate the cutoff wall’s effectiveness, achieving optimal slope ratios of 1:1.41 compared to 1:2.21 under seepage–stress coupling. Parametric analyses reveal quantitative relationships between wall characteristics and stability metrics. Elastic modulus optimization within practical ranges (9362.63 MPa peak performance) enables steeper 1:1.37 slopes while maintaining safety factors. Strategic width reduction from 0.6 m to 0.4 m decreases concrete usage by 33% without compromising stability thresholds, proving cost-efficiency in large-scale applications. The methodology provides actionable guidelines for deep excavation projects facing similar hydrogeological challenges. Optimized cutoff walls enhance slope stability sustainably through ecological preservation and resource efficiency, providing actionable frameworks for eco-conscious geotechnical design aligned with global sustainability objectives. Full article

Copper is widely used in both its metallic form and as oxide across numerous scientific and industrial domains. The primary copper oxides, cuprite (Cu₂O) and tenorite (CuO), naturally form on the copper surface and play a crucial role in advanced technologies, such as solar cells, lithium batteries, and sensors. Tenorite is appreciated for its optical properties, stability, low toxicity, and reactivity. While copper oxide thin films are traditionally synthesized through thermal treatments and oxidation in alkaline environments, these conventional high-temperature methods not only require significant energy consumption but can also compromise the metal–film interface. This study aims to develop a sustainable alternative approach for forming a homogeneous CuO layer on a copper substrate through environmentally friendly treatments based on low temperature, cost-effective, and time-saving procedures. Three different eco-conscious treatments were investigated: (i) immersion in NaOH basic solution, (ii) exposure to NaOH basic solution vapours, and (iii) a combined treatment involving both immersion and vapour exposure. This green synthesis approach significantly reduces energy consumption compared to traditional thermal methods while maintaining product quality. The surface oxide layer was investigated through an optical microscope (OM), scanning electron microscopy (SEM), spectrocolorimetric analysis, peel-off test, µ-Raman and X-ray photoelectron spectroscopy (XPS) analysis to investigate the surface oxidation state. Full article

Sustainable development purposes require strong emphasis on green food promotion as an essential component. The decision-making process of Generation X members toward green food consumption creates important effects on both personal health and environmental sustainability and social programs and economic stability. This research examines environmental self-identity and environmental values as predictors of green food consumption intentions with analysis of attitude and relevant intermediate factors that include personal standards as well as perceived control over behavior. The researcher gathered data through convenience sampling from 480 Chinese Generation X participants. Statistical analysis followed the pretest to perform assessments for reliability and validity testing. Structural equation modeling (SEM) processed the data while validating confirmatory factor analysis and path analysis testing. Data analysis demonstrates that environmental values directly drive green food consumption intentions. These values operate through two key pathways: (1) shaping positive attitudes toward green food, and (2) reinforcing subjective norms and perceived behavioral control. These mechanisms collectively promote pro-environmental choices with measurable ecological and social benefits. The research shows self-identity as an environmental entity positively affects green food consumption because it strengthens users’ self-belief as eco-conscious consumers leading to intensified attitudes and subjective norms and perception of behavior control. The research enriches the TPB (theory of planned behavior) by proving that environmental attitudes respond to environmental factors including social environments along with economic capacity and living conditions to shape generation X consumers’ intentions to buy green food. The findings advance sustainable consumption theories by revealing generation-specific behavioral mechanisms, while providing actionable insights for designing targeted green marketing strategies and policy interventions. Full article