The review, led by Shruthi Yerraju and Sumana Chenna of CSIR-IICT in Hyderabad together with Karunakaran Venugopal and C. Anandharamakrishnan of CSIR-NIIST in Thiruvananthapuram, was conducted as a structured literature analysis using defined search terms, explicit inclusion and exclusion criteria, and PRISMA-based screening, the standard protocol for systematic reviews. Rather than treating packaging design, recycling technologies, biodegradable materials, environmental assessment, and policy as separate silos, the authors deliberately integrated them into a single analytical framework, a move they argue distinguishes their work from earlier reviews that examined these dimensions independently.

At the heart of the analysis is a sobering comparison of recycling pathways. The researchers critically evaluated mechanical recycling, chemical recycling, and energy recovery against four yardsticks: environmental performance, technology readiness, scalability, and suitability for different waste streams. Their conclusion is deliberately unsentimental. No single pathway wins outright, because effectiveness varies with polymer type, feedstock quality, energy demand, technology maturity, and the regional infrastructure available to process the waste. Mechanical recycling, which shreds, washes, and remelts plastics like polyethylene terephthalate and high-density polyethylene, remains the most mature option but falters on contaminated, multilayer, or mixed waste. Chemical recycling, including pyrolysis and depolymerization, can break polymers back down to monomers or feedstocks, offering a route for plastics that mechanical systems cannot handle, but it typically demands more energy and sits at lower technology readiness levels.

The polymer chemistry itself complicates matters. The review catalogs an extensive range of packaging plastics, from commodity polyolefins such as polyethylene and polypropylene to engineering polymers like polycarbonate and polyvinyl chloride, alongside a growing roster of biodegradable alternatives. Among the latter, polylactic acid, polyhydroxyalkanoates, polybutylene succinate, and polycaprolactone are the most prominent, each with distinct degradation kinetics, mechanical properties, and end-of-life requirements. Polylactic acid, derived from fermented plant starch, composts under industrial conditions but degrades slowly in ambient landfills. Polyhydroxyalkanoates, synthesized by bacteria, offer genuine marine biodegradability but remain expensive to produce at scale. The authors stress that biodegradability is not a universal escape hatch: without the composting or anaerobic digestion infrastructure to process these materials, they can end up contaminating conventional recycling streams, where even small amounts of PLA can compromise the quality of recycled PET.

Emerging feedstocks are also reshaping the materials landscape. The review highlights agricultural and agro-industrial waste as a promising source of biopolymers, including cellulose nanofibers extracted from wheat straw and orange peel, chitosan from crustacean shells, and pectin from fruit processing residues. These materials can form edible films and coatings, active packaging with antimicrobial properties, and barrier layers that reduce reliance on fossil-derived polymers. Nanocellulose films, in particular, have shown enhanced barrier and antioxidant performance in coating applications, while lignin, an abundant byproduct of papermaking, is being repurposed as a functional material for active packaging. The circular logic is appealing: waste from one industry becomes feedstock for another, reducing both disposal burdens and virgin material demand.

On the assessment side, the review examines two complementary analytical tools. Life cycle assessment quantifies environmental impacts across a product’s entire existence, from raw material extraction through manufacturing, use, and disposal, typically reporting metrics such as global warming potential. Material flow analysis, by contrast, tracks the physical stocks and flows of materials through an economy, revealing where plastics accumulate, leak, or cycle. The authors argue that neither tool alone is sufficient: LCA can identify that a reusable packaging system outperforms a single-use equivalent, but only after a certain number of reuse cycles, a threshold that depends on transport distances and washing energy. MFA can expose the sheer scale of material leakage, such as the finding that more than 1,000 rivers account for 80 percent of global riverine plastic emissions into the ocean. Used together, they provide both the environmental scorecard and the material balance sheet needed to steer policy.

Policy instruments receive equally close scrutiny. The review evaluates extended producer responsibility, deposit-return systems, and recycled-content mandates as the three principal levers for promoting resource circulation. Extended producer responsibility shifts the financial and operational burden of managing packaging waste from municipalities to the producers who put packaging on the market, creating an economic incentive to design for recyclability. Deposit-return systems, which charge consumers a small refundable fee at purchase, have demonstrated high collection rates for beverage containers in multiple jurisdictions. Recycled-content mandates, such as those embedded in the European Union’s Packaging and Packaging Waste Regulation, force demand for secondary materials, giving recyclers a guaranteed market. The authors note that these instruments work best in combination, and that their effectiveness depends heavily on regional governance capacity and enforcement.

The digital dimension may prove the most transformative frontier. The review surveys artificial intelligence-assisted sorting, which uses machine learning and near-infrared spectroscopy to identify polymer types on conveyor belts with increasing speed and accuracy, blockchain-enabled traceability that can verify the provenance of recycled content across supply chains, digital product passports that encode a package’s material composition and recycling instructions in a machine-readable format, and smart monitoring systems based on the Internet of Things and radio frequency identification. These technologies promise to enhance segregation, recycling efficiency, and supply-chain transparency, but the authors are candid about the barriers: cost, data availability, interoperability between systems, and the underlying infrastructure required to deploy them at scale remain significant hurdles, particularly in developing economies where informal waste sectors handle a large share of collection.

What emerges from the synthesis is not a blueprint but a decision framework. The authors argue that circular business models, from refill-and-reuse systems to product-as-service arrangements, must be matched to the specific technological and infrastructural context of each region. A deposit-return scheme that works in a European city with mature collection infrastructure may fail in a rapidly urbanizing region where waste collection itself is unreliable. Similarly, the choice between mechanical and chemical recycling should be driven by the local waste stream composition, energy prices, and the availability of markets for recycled outputs. The review’s contribution lies in making these trade-offs explicit, offering researchers, industry, and decision-makers a holistic roadmap for prioritizing innovation, accelerating technology adoption, and enabling the large-scale deployment of sustainable circular packaging systems. As plastic waste generation continues to outpace recycling capacity, the window for incremental fixes is closing; the authors suggest that only an integrated strategy, one that treats materials, technology, policy, and digitalization as a single system, can bend the curve.

Subject of Research: Circular economy roadmap for packaging waste: recycling, bioplastics, and digital tools converge

Article Title: Sustainable packaging waste management: circular economy strategies, technological innovations, and future perspectives

Article References: Yerraju, S., Venugopal, K., Anandharamakrishnan, C., & Chenna, S. (2026). Sustainable packaging waste management: circular economy strategies, technological innovations, and future perspectives. Clean Technologies and Environmental Policy, 28(11), Article 281. https://doi.org/10.1007/s10098-026-03628-z

Image Credits: AI Generated

DOI: 10.1007/s10098-026-03628-z

Keywords: circular economy, plastic packaging, recycling, biodegradable plastics, extended producer responsibility, life cycle assessment, AI sorting, digital product passport, sustainable packaging, plastic waste, Sustainable, packaging

The stakes are higher than they might appear. Life cycle assessment, or LCA, is the standardised method for quantifying the potential environmental impacts of products and services from raw material extraction through manufacturing, use, and disposal. Yet the method has long been constrained by limited access to primary data, meaning company-specific, measurement-based information. Most practitioners instead rely on secondary life cycle inventory datasets that often lack geographical, temporal, and technological representativeness. Previous studies have documented the consequences: assessments of electric mobility are hampered by scarce primary data for battery raw material supply chains, and researchers have repeatedly flagged persistent challenges in traceability and interoperability across inventory databases. The field has recurrently called for better access to primary data, along with standardised metadata covering temporal representativeness, location, technology specifications, and energy sources.

This is where digital product passports enter the picture. Originally conceived to support supply chain traceability, regulatory compliance, and circular economy objectives, passports could in principle reduce reliance on outdated secondary datasets by embedding harmonised, machine-readable, product-level information on material composition, product characteristics, and environmental indicators. The relationship is potentially bidirectional: while passports improve access to verifiable product-level data, LCA offers a science-based, standardised methodological framework for structuring and interpreting that information, including established principles for defining system boundaries and assessing data quality. The Leiden-led team set out to move beyond conceptual wish lists and ask how real, emerging passport initiatives actually perform in practice.

The 20 initiatives examined span batteries, electronics, construction products, textiles, and other material-intensive sectors, and include research projects, policy platforms, industrial implementations, and standardisation efforts. The sample was assembled purposively from publicly documented initiatives rather than as a systematic or exhaustive inventory, and the researchers grouped the LCA-relevant attributes they found into four categories: assessment results, product characteristics, production characteristics, and end-of-life characteristics. The good news is that several core attributes are now common across initiatives. Material composition, sometimes reported with absolute masses, recycled content, hazardous substances information, and product carbon footprints appear frequently and could provide a genuine basis for improved LCA practice. Notably, many of these attributes require limited incremental effort, because companies already collect them for compliance with regulations such as the restriction of hazardous substances directive and the REACH chemicals regulation.

The dominant logic across many initiatives is the exchange of aggregated product carbon footprints along the value chain. Frameworks such as the World Business Council for Sustainable Development’s Pathfinder and PACT, sectoral standards like Together for Sustainability in the chemical industry, and the automotive data space Catena-X all follow a similar inheritance-based calculation model: each supply chain actor calculates a cradle-to-gate carbon footprint based on its own processes, passes the aggregated result downstream, and the next user multiplies the received figure by the quantity of input product to derive its own footprint. This approach reduces the reporting burden considerably, but it creates comparability challenges. Consistent use of carbon footprints requires alignment in methodological and modelling choices, such as system boundaries and background inventory datasets, which is difficult to guarantee in heterogeneous supply chains. Although sectoral guidelines like the Catena-X carbon footprint rulebook and the Global Battery Alliance calculation framework attempt harmonisation, the researchers found that the analysed initiatives prioritise technical interoperability and data exchange formats over full end-to-end methodological alignment.

The deeper problem is granularity. Aggregated carbon footprints mask the processes, technological parameters, geographical conditions, and operational behaviours that drive environmental impacts. For most LCA-based decisions, such aggregation is overly simplified: researchers need process-specific data to identify impact hotspots across a product life cycle, assess whether impacts are merely shifted elsewhere, or design mitigation strategies. Yet generating and sharing process-specific inventory data is genuinely difficult in practice. It increases reporting burden, requires frequent updates, and may expose commercially sensitive information such as production efficiencies and technology choices. The trade-off, the authors argue, is not only technical but organisational and governance-related: the data that is most informative for LCA is often also the least shareable within supply chains. Some passport architectures already include tiered access rights to manage this tension, restricting detailed data to accredited actors such as regulators or auditors, which strengthens verification but may limit broader analytical use.

The asymmetry extends across life cycle stages. The analysed initiatives predominantly capture upstream and mid-stream product attributes, while providing limited coverage of production conditions, use-stage performance, and end-of-life outcomes. Factory energy use and sources, geographical and temporal metadata, and end-of-life parameters appear far less frequently than composition data. The researchers emphasise that this is not simply a design flaw but reflects structural differences in data controllability. Upstream and mid-stream information sits closer to the manufacturer’s sphere of influence and is often already collected for procurement, compliance, traceability, or quality control. In contrast, use and end-of-life outcomes depend on factors beyond direct producer control, including user behaviour, local infrastructure, and downstream waste management systems. As a result, downstream information in current passports mainly reflects intended use conditions, repair guidance, or recyclability claims rather than measured outcomes, marking a structural boundary to what passports can realistically provide at the point of product placement.

End-of-life modelling deserves particular attention. In LCA practice, end-of-life modelling combines factual data, such as recycling or landfilling rates, with scenario assumptions. If end-of-life impacts are embedded within an aggregated carbon footprint, they must be sufficiently disaggregated to separate assumed downstream scenarios from upstream processes. But dynamic, product-specific end-of-life performance data is rarely available in verifiable form and generally falls outside the practical scope of passport systems. Downstream actors are unlikely to feed operational data into individual passports, and many end-of-life outcomes are inherently modelled rather than measured. The authors caution that expecting passports to resolve these limitations risks conflating product-level information systems with broader waste-system monitoring infrastructures. Instead, they argue, passports should frame end-of-life information as scenario input: structured guidance on plausible product-specific pathways that supports more consistent downstream assumptions without exceeding industry’s reporting capacity.

The way forward, according to the team, involves embedding established LCA principles directly into passport data models. That means integrating system boundaries, functional units, provenance rules, and data quality indicators, so that passport information remains interpretable and comparable across supply chains. Transparency in current LCA practice is itself uneven, with many datasets in widely used inventory databases lacking accessible documentation, consistent metadata, or traceable sources. Passports could help by requiring product-level data in machine-readable, interoperable formats with explicit provenance and methodological metadata, and by clearly labelling proxy data that can be replaced when verified primary information becomes available. Verification itself should be understood in a differentiated sense, ranging from self-declared and documented data to audited or measured values. Passports cannot eliminate diversity in LCA practice, the authors note, but they can make that diversity visible and auditable, turning opaque uncertainty into an attribute that can be examined and managed. Dynamic update mechanisms, such as change logs and timestamps, could further allow passports to function as living datasets rather than static records.

Ultimately, the researchers conclude, digital product passports and life cycle assessment can be mutually reinforcing: passports offer a pathway to structured, product-level information, while LCA provides the methodological backbone for interpreting it. Realising that complementarity requires deliberate shifts in design and governance, including moving beyond aggregated indicators towards disaggregated inventory data on energy use, critical raw material intensity, and provenance, while recognising that passports should complement rather than replace existing inventory databases. Harmonised reporting conventions aligned with ISO and Product Environmental Footprint principles would make assessments more representative, transparent, and reproducible. If those shifts materialise, the humble product passport could evolve from a static compliance tool into a dynamic infrastructure for actionable sustainability assessment, one that links product information with material, environmental, and socio-economic flows for regulators, auditors, repairers, recyclers, and consumers alike.

Subject of Research: Data structuring in digital product passport initiatives and their support for life cycle assessment

Article Title: Emerging digital product passport initiatives require improved data structuring to support life cycle assessment

Article References: Liang, Y., Mogollón, J. M., Cunha, S., Donati, F., Li, C., Mintjes, B., Kleijn, R., Climent, D. M., Wang, R., Muller, S., Mas-Fons, A., Xicotencatl, B. M., & Istrate, R. (2026). Emerging digital product passport initiatives require improved data structuring to support life cycle assessment. Journal of Industrial Ecology, 30(4), 2131-2139. https://doi.org/10.1007/s44498-026-00144-7

Image Credits: AI Generated

DOI: 10.1007/s44498-026-00144-7

Keywords: digital product passport, life cycle assessment, life cycle inventory, product carbon footprint, circular economy, ecodesign regulation, end-of-life modelling, data quality, supply chain traceability, industrial ecology, sustainability data, EU regulation