Sustainability

Biodegradable microplastics can adsorb organic pollutants in aquatic environments, worsening contamination. However, the molecular mechanisms behind this association remain poorly understood. This study employs molecular dynamics (MD) simulations and density functional theory (DFT) calculations to systematically explore the molecular interactions between polylactic acid (PLA) and the herbicide acetochlor (ACT) in freshwater and a seawater analog. Our simulations reveal that PLA demonstrates a notably higher adsorption capacity for organic pollutants in seawater than in pure water. This improvement stems from three main factors: (i) PLA forms a more compact microstructure under saline conditions, (ii) its specific surface area increases, offering more active adsorption sites, and (iii) surface adsorption between PLA and ACT molecules dominates. DFT calculations support the MD simulation findings, demonstrating stronger PLA–ACT interaction energies in seawater. The adsorption process is mainly driven by two fundamental mechanisms: van der Waals forces and hydrogen bonding. Importantly, dissolved salt ions in seawater act as molecular bridges, facilitating interactions between PLA and ACT. Based on these insights, the study proposes conservative, testable risk indicators and planning/management implications for coastal drainage infrastructure, contributing to broader sustainable development objectives.

Amid China’s push for digital transformation, green technology innovation has become a vital pathway to achieving its carbon neutrality goals. Using panel data from Chinese A-share-listed companies between 2012 and 2023, sourced from the CNRDS and CSMAR databases, this study employs a two-way fixed effects model to examine how digital transformation affects green innovation. In this model, carbon information disclosure serves as a mediator and is measured through text analysis and entropy weighting, while media attention is included as a moderator. The results show that: (1) Digital transformation significantly promotes green technology innovation, with a one-unit increase in the digitalization index raising green patent applications by 4.45%; upon controlling for potential path dependence, the effect remains stable at 3.76%. (2) Carbon information disclosure plays a partial mediating role. (3) Media attention moderates both the direct effect of digital transformation and the first stage of the indirect effect through carbon information disclosure. (4) Heterogeneity analyses, supplemented by inter-group difference tests, reveal stronger effects in state-owned enterprises, firms in western China, and larger firms. The study concludes with practical recommendations for corporate practice and public policy.

This study focuses on improving the fatigue strength and overall performance of sustainable biopolymer polylactic acid (PLA) components manufactured via Fused Deposition Modelling (FDM) additive manufacturing process. PLA, as a biodegradable and renewable polymer derived from natural resources, represents a promising alternative to conventional petroleum-based plastics in engineering and research applications. The influence of key FDM process parameters—layer height, infill density, and number of perimeters—on critical performance indicators such as filament consumption, printing time, and fatigue strength (number of cycles to failure) was systematically analyzed using the Taguchi L9 orthogonal array. Subsequently, Grey Relational Analysis (GRA) was applied as a multi-objective optimization technique to identify the parameter settings that achieve an optimal balance between mechanical durability and resource efficiency. The obtained results demonstrate that a proper combination of process parameters can significantly enhance the mechanical reliability and sustainability profile of FDM-printed PLA parts, contributing to the broader adoption of eco-friendly materials in additive manufacturing.