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◆ Reviews in Environmental Science and Bio/Technology2026-03-27· Circular economy

Towards a circular plastics economy: synchronising material design, hybrid processing, digital logistics, and adaptive policy

Maneesha P. Ginige, Andrew C. Warden, Anna H. Kaksonen

原始摘要(英文原文)· Original abstract
Abstract The escalating environmental cost of global plastic production is driven by a fundamental misalignment: the complexity of modern polymer chemistry has outpaced the capability of linear waste management infrastructure. Addressing this crisis requires moving beyond fragmented mechanical and thermal solutions to a fully integrated industrial framework that synchronises material innovation with biological discovery. This review articulates a strategic roadmap to transition from a linear disposal model to a robust bio-industrial circular economy, with a predominant focus on the deployment of emerging bio-catalytic and bio-hybrid processing systems. We distinguish between the dual goals of resource recovery (circularity) and safe mineralisation (environmental resilience). Four interdependent pillars essential for this transition are identified: (1) Material design, where “design for degradation” is embedded at the molecular level; (2) Bio-hybrid processing, which supersedes single-mode recycling by synergising biological selectivity with physicochemical throughput (e.g., chemo-biological and photochemical-biological coupling) to handle mixed waste streams; (3) Digital logistics, utilising the “Internet of materials” to enable high-resolution sorting and decentralised processing; and (4) Adaptive policy, where standards are co-developed to verify system compatibility and increased stakeholder engagement. A “paradigm shift” is necessary to align these domains. Only by integrating the material, the process, the data, and the policy can plastic waste be transformed from an environmental liability into a predictable, high-value bio-industrial resource.
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Towards a circular plastics economy: synchronising material design, hybrid processing, digital logistics, and adaptive policy — 科研速览 Science Skim