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Search Results (16,625)

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Keywords = sustainable development performance

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8 pages, 1453 KB  
Communication
Double-Sided Illuminated Electrospun PAN TiO2-Cu2O Membranes for Enhanced CO2 Photoreduction to Methanol
by Mathieu Grandcolas
Catalysts 2026, 16(1), 107; https://doi.org/10.3390/catal16010107 (registering DOI) - 22 Jan 2026
Abstract
Photocatalytic reduction of CO2 into value-added chemicals offers a sustainable route to mitigate greenhouse gas emissions while producing renewable fuels. However, conventional TiO2-based systems suffer from limited visible-light activity and inefficient reactor configurations. Here, we developed electrospun polyacrylonitrile (PAN) membranes [...] Read more.
Photocatalytic reduction of CO2 into value-added chemicals offers a sustainable route to mitigate greenhouse gas emissions while producing renewable fuels. However, conventional TiO2-based systems suffer from limited visible-light activity and inefficient reactor configurations. Here, we developed electrospun polyacrylonitrile (PAN) membranes embedded with TiO2-Cu2O heterojunction nanoparticles and integrated them into a custom crossflow photocatalytic membrane reactor. The reactor employed bifacial illumination using a solar simulator (front) and a xenon/mercury lamp (back), each calibrated to 1 Sun (100 mW·cm−2). Membrane morphology was characterized by SEM, and chemical composition was confirmed by XPS. Photocatalytic performance was evaluated in CO2-saturated 0.5 M potassium bicarbonate solution under continuous flow. The PAN/ TiO2-Cu2O membrane exhibited a methanol production rate of approximately 300 μmol·g−1·h−1 under dual-light illumination, outperforming single illumination, PAN-TiO2, and PAN controls. Enhanced activity is attributed to extended visible-light absorption, improved charge separation at the TiO2-Cu2O heterojunction, and optimized photon flux through bifacial illumination. The electrospun architecture provided high surface area and porosity, facilitating CO2 adsorption and catalyst dispersion. Combining heterojunction engineering with bifacial reactor design significantly improves solar-driven CO2 conversion. This approach offers a scalable pathway for integrating photocatalysis and membrane technology into sustainable fuel synthesis. Full article
(This article belongs to the Special Issue Advanced Semiconductor Photocatalysts)
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30 pages, 1878 KB  
Article
Regenerating Public Residential Assets: Ex-Ante Evaluation Tools to Support Decision-Making
by Lucia Della Spina, Ruggiero Galati Casmiro and Claudia Giorno
Sustainability 2026, 18(2), 1115; https://doi.org/10.3390/su18021115 (registering DOI) - 21 Jan 2026
Abstract
The increasing need to regenerate public housing stock highlights the importance of adopting integrated evaluation tools capable of supporting transparent, sustainable, and public value-oriented investment decisions. This study compares two alternative intervention strategies—renovation with extension and demolition followed by reconstruction—by applying a Cost–Benefit [...] Read more.
The increasing need to regenerate public housing stock highlights the importance of adopting integrated evaluation tools capable of supporting transparent, sustainable, and public value-oriented investment decisions. This study compares two alternative intervention strategies—renovation with extension and demolition followed by reconstruction—by applying a Cost–Benefit Analysis (CBA) model developed in two phases. In the first phase, the analysis focuses on social benefits, with the aim of assessing their contribution to collective well-being. The second phase incorporates potential energy-related benefits, estimated on the basis of performance improvements associated with the two design scenarios. The results demonstrate that the integrated consideration of economic, social, and energy–environmental dimensions affects the relative performance differences between the examined strategies, offering a more comprehensive evaluation framework than conventional approaches based solely on monetary costs. The proposed model, which is replicable in Mediterranean contexts, contributes to the ongoing international debate on ex ante evaluation tools and provides operational insights to support urban regeneration policies oriented towards more effective, equitable, and policy-consistent solutions, in line with the objectives of the European Green Deal and the 2030 Agenda. The two-phase structure allows decision-makers to distinguish between short-term social effects and long-term energy-related benefits, offering a transparent support tool for public investment choices under fiscal constraints. Full article
(This article belongs to the Section Sustainable Urban and Rural Development)
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16 pages, 683 KB  
Article
Platelet Recovery and Mortality in Septic Patients with Thrombocytopenia: A Propensity Score-Matched Analysis of the MIMIC-IV Database
by Yi Zhou, Xiangtao Zheng, Yanjun Zheng and Zhitao Yang
J. Clin. Med. 2026, 15(2), 884; https://doi.org/10.3390/jcm15020884 (registering DOI) - 21 Jan 2026
Abstract
Background: Thrombocytopenia (platelet count < 100 × 109/L) occurs in 20–40% of critically ill patients with sepsis and is associated with adverse outcomes. Most prior studies have treated thrombocytopenia as a static risk indicator rather than a dynamic process. We investigated [...] Read more.
Background: Thrombocytopenia (platelet count < 100 × 109/L) occurs in 20–40% of critically ill patients with sepsis and is associated with adverse outcomes. Most prior studies have treated thrombocytopenia as a static risk indicator rather than a dynamic process. We investigated whether platelet recovery within 7 days provides independent prognostic information in patients with sepsis. Methods: We performed a retrospective cohort study using the MIMIC-IV database. Among 22,513 adults with sepsis admitted to intensive care units, 5401 developed thrombocytopenia within 24 h of admission and had sufficient follow-up data. The primary exposure was sustained platelet recovery to ≥100 × 109/L within 7 days. The primary outcomes were 28-day and in-hospital mortality. Propensity-score matching and overlap weighting were used to adjust for demographic characteristics, comorbid conditions, illness severity, and organ-support therapies. Results: Among 5401 septic ICU patients with thrombocytopenia, 3193 (59%) achieved platelet recovery within 7 days. A total of 2056 patients (38%) recovered by day 3, and 1137 (21%) recovered between days 4 and 7. After multivariable adjustment, platelet recovery was independently associated with markedly lower mortality (adjusted risk ratio, 0.56; 95% CI, 0.53–0.67 for in-hospital death; and 0.60; 95% CI, 0.53–0.67 for 28-day death) and more than a doubling of survival time (adjusted ratio, 2.08; 95% CI, 1.65–2.63). Early and intermediate recovery conferred similar benefits. Higher baseline platelet counts, antiplatelet therapy, and heparin use were associated with recovery, whereas cirrhosis, greater illness severity, and continuous renal replacement therapy were associated with non-recovery. Conclusions: In patients with sepsis and thrombocytopenia, platelet recovery within 7 days was a strong and independent predictor of survival. Exploratory timing-stratified analyses yielded similar associations across subgroups. These findings support platelet recovery as a useful prognostic marker reflecting broader physiologic stabilization in sepsis. Full article
(This article belongs to the Section Emergency Medicine)
23 pages, 684 KB  
Article
Artificial Intelligence Governance in Smart Cities: A Causal Model of Citizen Sustainability Co-Creation Through Acceptance, Trust, and Adaptability
by Lersak Phothong, Anupong Sukprasert and Nantana Ngamtampong
Sustainability 2026, 18(2), 1109; https://doi.org/10.3390/su18021109 - 21 Jan 2026
Abstract
Urban sustainability has become a defining governance challenge as smart cities increasingly integrate artificial intelligence (AI) into public service delivery and decision-making. While AI-enabled systems promise efficiency and responsiveness, growing concerns regarding trust, legitimacy, and citizen engagement suggest that technological adoption alone does [...] Read more.
Urban sustainability has become a defining governance challenge as smart cities increasingly integrate artificial intelligence (AI) into public service delivery and decision-making. While AI-enabled systems promise efficiency and responsiveness, growing concerns regarding trust, legitimacy, and citizen engagement suggest that technological adoption alone does not guarantee sustainable urban outcomes. Existing studies have largely emphasized technological performance or individual adoption, paying limited attention to the governance mechanisms through which AI acceptance translates into sustainability co-creation. To address this gap, this study develops and empirically examines the AI–Urban Citizen Sustainability Co-Creation Framework (AI–CSCF) within the context of smart cities in Thailand. A quantitative survey was conducted with 1002 citizens across three smart city settings, and structural equation modeling (SEM) was employed to examine the relationships among AI acceptance, trust in AI, citizen adaptability, and sustainability co-creation. The results indicate that AI acceptance functions as a foundational condition shaping trust in AI and citizen adaptability, through which its influence on sustainability co-creation is indirectly transmitted. Trust in AI emerges as a key mediating mechanism linking AI-enabled governance to participatory sustainability outcomes. These findings underscore the importance of human-centered and trustworthy AI governance that strengthens citizen trust, enhances adaptive capacities, and positions citizens as active co-creators of sustainable urban development aligned with SDG 11. Full article
(This article belongs to the Section Sustainable Urban and Rural Development)
18 pages, 1284 KB  
Article
Integrated Biomimetic 2D-LC and Permeapad® Assay for Profiling the Transdermal Diffusion of Pharmaceutical Compounds
by Ilaria Neri, Craig Stevens, Giacomo Russo and Lucia Grumetto
Molecules 2026, 31(2), 379; https://doi.org/10.3390/molecules31020379 - 21 Jan 2026
Abstract
A comprehensive two-dimensional liquid chromatography platform (LC × LC) was developed and validated for dermal permeability studies. In this implementation, the two separation dimensions were applied to mimic the layered structure of human skin: a ceramide-like stationary phase in the first dimension ( [...] Read more.
A comprehensive two-dimensional liquid chromatography platform (LC × LC) was developed and validated for dermal permeability studies. In this implementation, the two separation dimensions were applied to mimic the layered structure of human skin: a ceramide-like stationary phase in the first dimension (1D) to simulate the lipid-rich epidermis, and an immobilized artificial membrane (IAM) phase in the second (2D) to emulate the dermis. Experimental conditions were optimised to reflect the microenvironment of the in vivo skin. For validation purposes, 43 pharmaceutical and cosmetic compounds whose transdermal permeability coefficients (log Kp) were known from the scientific literature were selected as model solutes. A good degree of separation was achieved across the whole dataset, and affinity profiles correlated with transdermal passage properties, suggesting that retention within specific chromatographic ranges may be predictive of skin permeation. To complement this approach, mass diffusion measurements were also conducted using Permeapad® 96-well plates and LC was performed on a narrow bore column in MS-friendly conditions. These log Kp values were compared against both in vivo and chromatographic retention data. The combined use of these techniques offers a strategic framework for profiling new chemical entities for their dermal absorption in a manner that is both ethically compliant and eco-sustainable. Full article
(This article belongs to the Special Issue Recent Developments in Chromatographic Applications in Medicine)
19 pages, 1214 KB  
Article
Advancing Sustainable Development Through Circularity Metrics: A Comprehensive Indicator Framework for Assessing Progress on SDG 12 Across Sectoral Drivers
by Ionela Gavrila-Paven, Ramona Giurea and Elena Cristina Rada
Resources 2026, 15(1), 18; https://doi.org/10.3390/resources15010018 - 21 Jan 2026
Abstract
This study provides an integrated assessment of progress toward Sustainable Development Goal 12 (Responsible Consumption and Production) by applying a multivariate, indicator-based framework to a comprehensive set of EU-27 performance metrics. Rather than proposing new indicators, the analysis advances SDG 12 monitoring by [...] Read more.
This study provides an integrated assessment of progress toward Sustainable Development Goal 12 (Responsible Consumption and Production) by applying a multivariate, indicator-based framework to a comprehensive set of EU-27 performance metrics. Rather than proposing new indicators, the analysis advances SDG 12 monitoring by systematically integrating official indicators of material efficiency, circularity, waste generation, consumption-based environmental pressure, and environmental economic activity with key cross-sectoral drivers. Using harmonized statistical data, the study examines raw material consumption, circular material use rates, hazardous chemical consumption, consumption footprints, hazardous waste generation, and the economic value added of the environmental goods and services sector, complemented by energy productivity and average CO2 emissions from new passenger cars. Through z-score normalization, correlation analysis, and exploratory factor analysis, the research identifies structural interdependencies and latent systemic regimes that characterize responsible consumption and production dynamics in the EU. The results reveal a persistent divergence between efficiency- and circularity-oriented improvements and ongoing material and waste pressures, highlighting structural constraints within current sustainability pathways. By offering a replicable and integrative analytical framework, the study contributes to the literature by supporting evidence-based policymaking and identifying priority areas for advancing resource efficiency and circular economy transitions. Full article
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23 pages, 1091 KB  
Review
Advances in Integrated Lignin Valorization Pathways for Sustainable Biorefineries
by Mbuyu Germain Ntunka and Shadana Thakor Vallabh
Molecules 2026, 31(2), 380; https://doi.org/10.3390/molecules31020380 - 21 Jan 2026
Abstract
Lignin, the most abundant renewable source of aromatic compounds, plays a pivotal role in advancing sustainable biorefineries and reducing dependence on fossil resources. Recent progress in integrated lignin valorization pathways has unlocked opportunities to convert this complex biopolymer into high-value chemicals, materials, and [...] Read more.
Lignin, the most abundant renewable source of aromatic compounds, plays a pivotal role in advancing sustainable biorefineries and reducing dependence on fossil resources. Recent progress in integrated lignin valorization pathways has unlocked opportunities to convert this complex biopolymer into high-value chemicals, materials, and energy carriers, despite its structural heterogeneity and recalcitrance posing major challenges. This review highlights the significant advancements in depolymerization strategies, including catalytic, oxidative, and biological approaches, which are reinforced by innovations in catalyst design and reaction engineering that enhance selectivity and efficiency. It also discusses emerging technologies, such as hybrid chemo-enzymatic systems, solvent fractionation, and continuous-flow reactors, for their potential to improve scalability and sustainability. Furthermore, this review examines the integration of lignin valorization with upstream pretreatment and downstream recovery, emphasizing process intensification, co-product synergy, and techno-economic optimization to achieve commercial viability. Despite these developments, critical gaps remain in understanding the molecular complexity of lignin, developing universally applicable catalytic systems, and optimizing economic and environmental performance. To guide future research, it poses two key questions: how to design catalysts for selective depolymerization across diverse lignin sources, and how to configure biorefineries for maximum lignin utilization while ensuring sustainability? Addressing these challenges will be essential for lignin’s role in next-generation biorefineries and a circular bioeconomy. Full article
(This article belongs to the Special Issue Lignin Valorization in Biorefineries)
24 pages, 2369 KB  
Article
Pulmonary Delivery of Inhalable Sustained Release Nanocomposites Microparticles Encapsulating Osimertinib for Non-Small Cell Lung Cancer Therapy
by Iman M. Alfagih, Alanood Almurshedi, Basmah Aldosari, Bushra Alquadeib, Baraa Hajjar, Hafsa Elwali, Hadeel ALtukhaim, Eman Alzahrani, Sara Alhumaidan and Ghaida Alharbi
Pharmaceutics 2026, 18(1), 134; https://doi.org/10.3390/pharmaceutics18010134 - 21 Jan 2026
Abstract
Background/Objective: Osimertinib (OSI) is a third-generation tyrosine kinase inhibitor approved for non-small cell lung cancer (NSCLC) therapy. OSI is administered orally; this route limits the amount of OSI reaching the tumor in the lungs and is associated with serious systemic toxicity. This study [...] Read more.
Background/Objective: Osimertinib (OSI) is a third-generation tyrosine kinase inhibitor approved for non-small cell lung cancer (NSCLC) therapy. OSI is administered orally; this route limits the amount of OSI reaching the tumor in the lungs and is associated with serious systemic toxicity. This study aimed to develop a dry powder inhalable formulation to provide tumor-targeted delivery and minimize systemic toxicity. To the best of our knowledge, this is the first study to prepare and evaluate a dry powder inhalation formulation of OSI. Methods: Chitosan-coated PLGA nanoparticles (PLGA-C NPs) encapsulating OSI were prepared using a single emulsion-solvent evaporation technique. PLGA-C NPs were assembled into respirable nanocomposite microparticles (NCMPs) via spray drying with L-leucine as a carrier. PLGA-C NPs were characterized for particle size, zeta-potential, encapsulation efficiency, and in vitro efficacy in A-549 cell line. NCMPs were evaluated for solid-state properties, aerosolization performance, stability and in vitro release. Results: PLGA-C NPs exhibited a particle size of 145.18 ± 3.0 nm, high encapsulation efficiency and a positive zeta potential. In vitro studies demonstrated a 3.6-fold reduction in IC50 compared to free OSI, superior antimigratory effects and enhanced cell cycle arrest. Solid-state characterization of NCMPs demonstrated drug encapsulation in the polymer without chemical interaction. NCMPs exhibited excellent aerosolization (mass median aerodynamic diameter of 1.09 ± 0.23 μm, fine particle fraction of 73.48 ± 8.6%) and sustained drug release (61.76 ± 3.9% at 24 h). Stability studies confirmed the physicochemical stability integrity. Conclusions: These findings suggest that this novel dry powder inhalable OSI formulation may improve therapeutic outcomes while reducing systemic toxicity. Full article
(This article belongs to the Special Issue Anticancer Nanotherapeutics for Lung Cancer Therapy)
28 pages, 3064 KB  
Article
Multi-Dimensional Assessment of Low-Carbon Engineering Cement-Based Composites Based on Rheological, Mechanical and Sustainability Factors
by Zhilu Jiang, Zhaowei Zhu, Deming Fang, Chuanqing Fu, Siyao Li and Yuxiang Jing
Materials 2026, 19(2), 424; https://doi.org/10.3390/ma19020424 - 21 Jan 2026
Abstract
To address the high-carbon emissions associated with the large use of Portland cement (PC) in traditional engineered cementitious composites (ECCs) and the resource constraints on supplementary cementitious materials (SCMs), this study proposes a strategy combining limestone calcined clay cement (LC3) as [...] Read more.
To address the high-carbon emissions associated with the large use of Portland cement (PC) in traditional engineered cementitious composites (ECCs) and the resource constraints on supplementary cementitious materials (SCMs), this study proposes a strategy combining limestone calcined clay cement (LC3) as a PC replacement with the incorporation of hybrid synthetic fibers to develop low-carbon, environmentally friendly ECCs. The fundamental properties of the LC3-ECC were tested, and a sustainability analysis was conducted. The experimental results show that an increase in water-to-binder ratio (W/B) or superplasticizer (SP) dosage significantly enhanced fluidity while reducing the yield stress and plastic viscosity. An LC3-ECC with a W/B of 0.25, 0.45% SP and 2% polyethylene fibers exhibited the best tensile performance, achieving an ultimate tensile strain of 8.40%. In contrast, an increase in polypropylene fiber led to a degradation in crack-resistant properties. In terms of sustainability, replacing the PC with LC3 significantly reduced carbon emissions by 19.1–20.8%, while the cost of the limestone calcined clay cement–polypropylene fiber (LC3-PP) was approximately 50% of that of the limestone calcined clay cement–polyvinyl alcohol fiber (LC3-PVA). Furthermore, an integrated evaluation framework encompassing rheological, mechanical and environmental factors was established using performance radar charts. The dataset on the performance results and the developed assessment framework provide a foundation for optimizing the mixture proportioning of LC3-ECC in practical engineering applications. Full article
(This article belongs to the Section Construction and Building Materials)
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15 pages, 4237 KB  
Article
Stage-Wise Simulation for Operational Stability Evaluation of Seasonal Heat Storage in Abandoned Coal Mines
by Wenying Tang, Jiawei Tang, Qiang Guo, Haiqin Zhang, Changhao Feng, Xiaolin He, Zixu Hu and Xi Wu
Energies 2026, 19(2), 537; https://doi.org/10.3390/en19020537 - 21 Jan 2026
Abstract
The development of coal resources has created a large number of underground mined-out spaces, which can be utilized for cross-seasonal thermal storage through underground reservoirs to achieve seasonal heat storage. However, there is currently limited research on the cross-seasonal thermal storage capabilities and [...] Read more.
The development of coal resources has created a large number of underground mined-out spaces, which can be utilized for cross-seasonal thermal storage through underground reservoirs to achieve seasonal heat storage. However, there is currently limited research on the cross-seasonal thermal storage capabilities and thermal storage performance evaluation of coal mine underground reservoirs. This study aims to evaluate the operational stability and long-term performance of a Coal Mine Underground Reservoir Energy Storage System (CMUR-ESS) under realistic geological conditions of the Shendong Coalfield. A multi-physics coupling model, integrating thermal-fluid processes, was developed based on the actual structure of the No. 5-2 coal seam goaf in the Dalinta Mine. Numerical simulations were conducted over five annual cycles, each comprising injection, storage, production, and transition stages. Results demonstrate that the system achieves progressive thermal accumulation, with the volume fraction of water above 70 °C increasing from 75.0% in the first cycle to 88.9% by the fifth cycle at the end of the storage stage. Production temperatures also improved, with peak and final temperatures rising by 6.2% and 6.8%, respectively, after five cycles. The analysis confirms enhanced heat retention and reduced thermal loss over time, indicating robust long-term stability and sustainability of the CMUR-ESS for seasonal energy storage applications. The results of this study can provide a reference for the design and evaluation of CMUR-ESS. Full article
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18 pages, 1396 KB  
Article
Decision-Support Analysis of Biomethane Infrastructure Options Using the TOPSIS Method
by Ance Ansone, Liga Rozentale, Claudio Rochas and Dagnija Blumberga
Sustainability 2026, 18(2), 1086; https://doi.org/10.3390/su18021086 - 21 Jan 2026
Abstract
The integration of biomethane into the natural gas infrastructure is a critical element of energy-sector decarbonization, yet optimal infrastructure development scenarios remain insufficiently compared using unified decision frameworks. This study evaluates three biomethane market integration scenarios—direct connection to the gas system, biomethane injection [...] Read more.
The integration of biomethane into the natural gas infrastructure is a critical element of energy-sector decarbonization, yet optimal infrastructure development scenarios remain insufficiently compared using unified decision frameworks. This study evaluates three biomethane market integration scenarios—direct connection to the gas system, biomethane injection points (compressed biomethane transported by trucks to the gas system), and off-grid delivery using the multi-criteria decision-making method TOPSIS. Environmental, economic, and technical dimensions are jointly assessed. Results indicate that direct connection to the system provides the most balanced overall performance, achieving the highest integrated score (Ci = 0.70), driven by superior environmental and technical characteristics. Biomethane injection points demonstrate strong economic advantages (Ci = 0.49), particularly where capital investments need to be reduced or there is limited access to the gas system, but show weaker environmental and technical performance. Off-grid solutions perform poorly in integrated assessment (Ci = 0.00), reflecting limited scalability and high logistical complexity, although niche applications may remain viable under specific conditions. Sensitivity analysis confirms the robustness of these rankings across a wide range of weighting assumptions, strengthening the reliability of the findings for policy and infrastructure planning. This study provides one of the first integrated multi-criteria assessments explicitly incorporating virtual pipeline logistics, offering a transferable decision-support framework for sustainable biomethane development in diverse regional contexts. Full article
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34 pages, 7481 KB  
Review
Recent Advances in Thermoplastic Starch (TPS) and Biodegradable Polyester Blends: A Review of Compatibilization Strategies and Bioactive Functionalities
by Elizabeth Moreno-Bohorquez, Mary Judith Arias-Tapia and Andrés F. Jaramillo
Polymers 2026, 18(2), 289; https://doi.org/10.3390/polym18020289 - 21 Jan 2026
Abstract
Thermoplastic starch (TPS) blended with biodegradable polyesters such as polyhydroxybutyrate (PHB), polylactic acid (PLA), polybutylene succinate (PBS), and polycaprolactone (PCL) represents a promising route toward sustainable alternatives to petroleum-based plastics. TPS offers advantages related to abundance, low cost, and biodegradability, while polyesters provide [...] Read more.
Thermoplastic starch (TPS) blended with biodegradable polyesters such as polyhydroxybutyrate (PHB), polylactic acid (PLA), polybutylene succinate (PBS), and polycaprolactone (PCL) represents a promising route toward sustainable alternatives to petroleum-based plastics. TPS offers advantages related to abundance, low cost, and biodegradability, while polyesters provide improved mechanical strength, thermal stability, and barrier performance. However, the intrinsic incompatibility between hydrophilic TPS and hydrophobic polyesters typically leads to immiscible systems with poor interfacial adhesion and limited performance. This review critically examines recent advances in the development of TPS/polyester blends, with emphasis on compatibilization strategies based on chemical modification, natural and synthetic compatibilizers, bio-based additives, and reinforcing agents. Particular attention is given to the role of organic acids, essential oils, phenolic compounds, nanofillers, and natural reinforcements in controlling morphology, crystallinity, interfacial interactions, and thermal–mechanical behavior. In addition, the contribution of bioactive additives to antimicrobial and antioxidant functionality is discussed as an emerging multifunctional feature of some TPS/polyester systems. Finally, current limitations related to long-term stability, scalability, and life cycle assessment are highlighted, identifying key challenges and future research directions for the development of advanced biodegradable materials with tailored properties. Full article
(This article belongs to the Section Biobased and Biodegradable Polymers)
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28 pages, 1515 KB  
Article
Supply Chain Integration for Sustainability in Belt and Road Initiative EPC Projects: A Multi-Stakeholder Perspective
by Jiaxin Huang and Kelvin K. Orisaremi
Sustainability 2026, 18(2), 1081; https://doi.org/10.3390/su18021081 - 21 Jan 2026
Abstract
This study investigates critical research gaps in procurement management challenges faced by Chinese contractors in international engineering–procurement–construction (EPC) projects under the Belt and Road Initiative (BRI), with a particular focus on sustainability-oriented outcomes. It examines the following: (1) prevalent procurement inefficiencies, such as [...] Read more.
This study investigates critical research gaps in procurement management challenges faced by Chinese contractors in international engineering–procurement–construction (EPC) projects under the Belt and Road Initiative (BRI), with a particular focus on sustainability-oriented outcomes. It examines the following: (1) prevalent procurement inefficiencies, such as communication delays and material shortages, encountered in international EPC projects; (2) the role of supply chain INTEGRATION in enhancing procurement performance; (3) the application of social network analysis (SNA) to reveal inter-organizational relationships in procurement systems; and (4) the influence of stakeholder collaboration on achieving efficient and sustainable procurement processes. The findings demonstrate that effective supply chain integration significantly improves procurement efficiency, reduces delays, and lowers costs, thereby contributing to more sustainable project delivery. Strong collaboration and transparent communication among key stakeholders—including contractors, suppliers, subcontractors, and designers—are shown to be essential for mitigating procurement risks and supporting resilient supply chain operations. SNA results highlight the critical roles of central stakeholders and their relational structures in optimizing resource allocation and enhancing risk management capabilities. Evidence from case studies further indicates that Chinese contractors increasingly adopt sustainability-oriented practices, such as just-in-time inventory management, strategic supplier relationship management, and digital procurement platforms, to reduce inefficiencies and environmental impacts. Overall, this study underscores that supply chain INTEGRATION, combined with robust stakeholder collaboration, is a key enabler of sustainable procurement and long-term competitiveness for Chinese contractors in the global EPC market. The purpose of this study is to identify critical procurement management challenges and propose evidence-based solutions for Chinese contractors. It further aims to develop a sustainability-oriented framework integrating supply chain integration and stakeholder collaboration to enhance competitiveness. Full article
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9 pages, 1152 KB  
Proceeding Paper
Assessment of the Operational Performance of Self-Propelled Lawnmowers Equipped with Different Engine Types
by Mato Nadarević, Željko Barač, Ivan Plaščak, Tomislav Jurić, Valeria Matić and Monika Marković
Eng. Proc. 2026, 125(1), 5; https://doi.org/10.3390/engproc2026125005 - 21 Jan 2026
Abstract
This paper presents an evaluation of the performance characteristics of lawnmowers powered by gasoline engines and electric motors. Particular emphasis is placed on usability, reduced maintenance requirements, noise emission levels, and environmental sustainability. A custom electric lawnmower was constructed for the purposes of [...] Read more.
This paper presents an evaluation of the performance characteristics of lawnmowers powered by gasoline engines and electric motors. Particular emphasis is placed on usability, reduced maintenance requirements, noise emission levels, and environmental sustainability. A custom electric lawnmower was constructed for the purposes of this study, involving the selection and integration of suitable motors, batteries, and auxiliary components. A comparative analysis was subsequently conducted between the conventional gasoline-powered lawnmower and the electrically powered prototype. Measurements of operational duration and efficiency indicated notable improvements in mowing time and maintenance-related costs. The findings underscore the potential advantages of transitioning to electric propulsion technologies, both from the perspective of sustainable development and environmental responsibility, as well as in terms of operational convenience. Full article
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27 pages, 14043 KB  
Article
Landslide Susceptibility Evaluation Integrating Machine Learning and SBAS-InSAR-Derived Deformation Characteristics: A Case Study of Yining County, Xinjiang
by Tingting Ma, Xiaoqiang Yi, Hui Ci, Ran Wang, Hui Yang and Zhaojin Yan
Sensors 2026, 26(2), 707; https://doi.org/10.3390/s26020707 - 21 Jan 2026
Abstract
Against the background of intensified climate change and enhanced human activities, the occurrence mode of landslides is becoming more complex and changeable, showing a trend of clustering, contiguous, and frequent occurrences. Yining County is located in the middle of the Yili River Valley, [...] Read more.
Against the background of intensified climate change and enhanced human activities, the occurrence mode of landslides is becoming more complex and changeable, showing a trend of clustering, contiguous, and frequent occurrences. Yining County is located in the middle of the Yili River Valley, where the geological conditions are fragile, neotectonic movement is active, and landslide disasters are widely developed and frequent, posing a serious threat to the population, buildings, and infrastructure. Based on multi-source data combined with machine learning models and SBAS-InSAR technology, this paper realized refined landslide susceptibility evaluation. Firstly, through correlation analysis and other methods, 12 landslide evaluation factors were selected, and the ChiMerge method was used to discretize the continuous factors to build the landslide susceptibility evaluation system. Four machine learning models were used to predict landslide susceptibility, and the RF model performed best. Using the dynamic timeliness advantage of SBAS-InSAR technology, the optimized regional landslide susceptibility evaluation results were constructed, which improved the precision of the landslide susceptibility evaluation results. The purpose of this study is to improve the accuracy and timeliness of landslide sensitivity assessment, improve regional disaster prevention and emergency management planning ability, and provide theoretical and data support for local sustainable development. Full article
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