ArticleFrontiers in nutrition2025
From burden to backbone: the regenerative potential of food waste through digital, biological, and technological innovation.
Article in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Agricultural and Agro-Industrial Residues as Sustainable Sources of Next-Generation Biomedical Materials: Advances, Challenges, and Perspectives.Life (Basel, Switzerland) · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This perspective article outlines a cross-sectoral roadmap that leverages digital, biological, and material innovations to transform unavoidable food and beverage organic waste into high-value resources. In this manuscript, the term "regenerative circular bioeconomy" refers to a systemic approach that not only minimises waste and closes resource loops but also enhances the resilience of natural and social systems. "Upcycling" is here defined as the transformation of organic residues into products of higher functional or economic value compared to their original use. "Digital enablers" are considered as data-driven tools, such as artificial intelligence, machine learning, and digital twins, which support the optimisation and monitoring of valorisation processes. Artificial intelligence is positioned as a systemic enabler of real-time diagnostics, redistribution, and forecasting, supporting both the quantification and reduction of organic waste. In parallel, the integration of mathematical modelling with digital technologies is increasingly driving the development of data-driven algorithms aimed at optimising process conditions for upcycling strategies within valorisation pathways. Regarding traditional recovery routes, the article highlights frontier technologies including microbial electrochemical systems, solar photoreforming, and green extraction methods. It also presents cutting-edge applications such as the use of organic waste in biocomposites and the emerging biomedical upcycling of slaughterhouse by-products for tissue engineering. Through this interdisciplinary lens, the article advocates for a regenerative circular bioeconomy supported by infrastructural investment, ethical governance, and comprehensive life-cycle validation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.