ArticleNature food2025
Sub-terahertz metamaterial stickers for non-invasive fruit ripeness sensing.
Article in Nature food, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- CMOS multifunctional programmable metachip for terahertz-integrated sensing and communication.Science advances · 2026Article
- Multifunctional Bio-Based Packaging for Perishable Foods: Structural Design, Scalable Fabrication, and Versatile Applications.Advanced materials (Deerfield Beach, Fla.) · 2026Review
- Efficient Preservation of Perishable Fruits by Erasable Metal-Organic Frameworks.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Lightweight visual detection approach for apple ripeness perception in intelligent orchard harvesting scenarios.Frontiers in plant science · 2026Article
- Review
- Non-Destructive Detection of Fruit Quality: Technologies, Applications and Prospects.Foods (Basel, Switzerland) · 2025Review
- Broadband THz Modulation via Solid-State Organic Electrochemical Devices.Advanced materials (Deerfield Beach, Fla.) · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Fruits and vegetables account for around a third of all food loss and waste. Post-harvest, retail and consumer losses and waste could be reduced with better ripeness assessment methods. Here we develop a sub-terahertz metamaterial sticker (called Meta-Sticker) that can be attached to a fruit to provide insights into the edible mesocarp's ripeness without cutting into the produce. The fruit acts as a complex multilayer substrate to Meta-Sticker and, when excited by sub-terahertz signals, generates two distinct resonances: localized dipole resonance that correlates with the exocarp's refractive index; and propagating plasmon resonance that penetrates into the mesocarp and resembles the rare phenomenon of 'extraordinary transmission'. The Meta-Sticker accurately predicted the ripeness of different fruits with a cumulative normalized root mean square error of 0.54% of the produce tested. This study offers a non-invasive, low-cost and biodegradable solution for accurate ripeness assessment with applications in distribution optimization and food waste reduction.
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Registered trials
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