Cracking the code of multi-layer films to promote circularity in single-use plastic packaging

Multi-layer film packaging (MLF) revolutionized food preservation by combining diverse material layers to optimize barrier properties, mechanical strength, and shelf-life. These materials are essential for transporting perishables across various climates and allow for access to fresh goods in "food deserts", but they pose significant recycling challenges due to their structural complexity. This perspective examines key structure-property relationships governing barrier performance and highlights innovations in material design. We explore how machine learning can predict performance metrics and propose recyclable alternatives, integrating data-driven approaches with material science insights. By challenging the status quo of MLF design, we advocate for circularity in food packaging, inspiring innovation at the intersection of sustainability, material science, and artificial intelligence.

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Publication Details

Journal
Nature Communications
Published
2026-02-03
DOI
https://doi.org/10.1038/s41467-026-68936-w
Primary Topic
Nanocomposite Films for Food Packaging
Type
article
Field-Weighted Citation Impact
0.00

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article

Cracking the code of multi-layer films to promote circularity in single-use plastic packaging

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Nature Communications
Nanocomposite Films for Food Packaging
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Cracking the code of multi-layer films to promote circularity in single-use plastic packaging

Rebecca M. Mick, Levi J. Hamernik, Shivani Kozarekar, Linda J. Broadbelt, Katrina M. Knauer, Brandon C. Knott, Margaret J. Sobkowicz, Jeffrey N. Law, Ryan W. Clarke, Maya Milrod, Ethan C. Quinn
article en

Abstract

Multi-layer film packaging (MLF) revolutionized food preservation by combining diverse material layers to optimize barrier properties, mechanical strength, and shelf-life. These materials are essential for transporting perishables across various climates and allow for access to fresh goods in "food deserts", but they pose significant recycling challenges due to their structural complexity. This perspective examines key structure-property relationships governing barrier performance and highlights innovations in material design. We explore how machine learning can predict performance metrics and propose recyclable alternatives, integrating data-driven approaches with material science insights. By challenging the status quo of MLF design, we advocate for circularity in food packaging, inspiring innovation at the intersection of sustainability, material science, and artificial intelligence.

Nature CommunicationsVol. 17(1)
Northwestern University (US), National Laboratory of the Rockies (US), National Association of Social Workers (US), University of Massachusetts Lowell (US), Hexion (United States) (US), Clinical Research Consortium (US), Colorado State University (US)
U.S. Department of Energy, Office of Science, Office of Energy Efficiency and Renewable Energy, Bioenergy Technologies Office, Office of Energy Efficiency, National Renewable Energy Laboratory
Openalex Percentile: Top 71%
Nanocomposite Films for Food Packaging
DOIOpen Access PDFOpenAlex
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