Shandong, China’s largest agricultural province, generates a massive amount of agricultural waste each year, with corn stover being the predominant type. Although current agricultural waste management primarily involves sustainable practices carried out by professional companies, this study seeks to explore a simpler, more accessible method of handling stover waste. Guided by positivist theory and several experiments, a formula was developed, primarily composed of corn stover powder and natural substances such as glycerin. In this process, we designed and implemented four control experimental groups with water as the quantity used to investigate the influence of different material content in the formula. The resultant material was then subjected to property analyses, including tests on colouration, toughness, etc. Ultimately, the material was applied in a small-scale test as a raw material for an agricultural product packaging design. The study, rooted in sustainability, environmental protection, and the establishment of a local circular economy, fills the gap in current research of lacking design knowledge interventions.

Furniture is a crucial sector for sustainable development due to its high environmental impact and substantial potential for sustainable improvement. Despite many existing furniture Life Cycle Assessment (LCA), they often provide fragmented data, hindering a comprehensive understanding of the environmental impact across different furniture groups due to methodological disparities. This study employs LCA as the primary method to evaluate 25 furniture pieces across 8 groups. Using the Environmental Footprint method and the Ecoinvent 3.7 database within Simapro 9.1.1.1 software, it generates a comprehensive database with all 25 furniture pieces’ environmental performance data, including the environmental impacts of furniture with different characteristics within the same furniture group, the impacts of various life cycle stages for each piece, and the impacts of different materials/processes within each stage. The database highlights several trends: furniture groups with higher material weight generally exhibit greater environmental impact; the pre-production stage generally has the highest impact, followed by the production, distribution, end-of-life and use stage. For environmental data interpretation, the study provides valuable design priorities, suggestions, and opportunities for improving the environmental performance, supported by case studies. By uncovering common trends, this research informs and guide the pursuit of more sustainable furniture design and production practices.

Smart Mobile Devices (SMD)—including hardware devices, such as smartphones, tablets, and wearables; the software systems that animate them; and the data-communication infrastructure that connects them—pose increasing sustainability challenges due to their short lifespans, high resource demands, and growing e-waste. While Sustainable Product–Service Systems (S.PSS) have been applied in various sectors to support environmental goals, limited research has addressed their application in the context of SMD. This study aims to explore how S.PSS can be tailored to support sustainability in the SMD sector. For that, it combines a literature review with a multiple-case analysis of seventeen commercial offerings to develop a conceptual framework refined through six expert interviews. Cases were coded using the classical PSS typology and other sector-specific criteria and subsequently clustered in a polarity diagram to identify designable patterns, underpinning the conceptual framework. The study contributes an S.PSS-SMD framework comprising a sector-tailored classification and sixteen archetypal models, operationalized in an archetypal map with potential opportunities. Theoretically, the study offers a sector-grounded operationalization that extends S.PSS design theory to digital product–service ecosystems. It provides a strategic decision aid for designing business models, service bundles, stakeholder roles, and lifecycle responsibilities to pursue win–win environmental and economic 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.