ReviewNature food2020
Mobile-based traceability system for sustainable food supply networks.
Review in Nature food, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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
12 citing papers in PubMed.
- AI-driven personalization of food systems: From precision nutrition to climate-resilient supply chains.NPJ science of food · 2026Review
- Shaping Circularity in the Food Industry: Strategic Pillars Enabled by Biorefinery Systems.Foods (Basel, Switzerland) · 2026Review
- Health and environmental evidence, challenges, and sustainable strategies of Planetary Health Diet: A mixed-methods review.Eco-Environment & Health · 2026Review
- Management, Safety, and Efficacy Evaluation of Nutraceutical and Functional Food: A Global Perspective.Comprehensive reviews in food science and food safety · 2025Review
- Biosensing Strategies to Monitor Contaminants and Additives on Fish, Meat, Poultry, and Related Products.Biosensors · 2025Review
- Improving precision instrument cleaning with a quality control module: implementation and outcomes.Frontiers in public health · 2025Article
- A review of robotic and automated systems in meat processing.Frontiers in robotics and AI · 2025Review
- Biosensor in smart food traceability system for food safety and security.Bioengineered · 2024Review
- A General Strategy for Food Traceability and Authentication Based on Assembly-Tunable Fluorescence Sensor Arrays.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- An Accurate and Rapid Way for Identifying Food Geographical Origin and Authenticity: Editable DNA-Traceable Barcode.Foods (Basel, Switzerland) · 2022Article
- Food cold chain management improvement: A conjoint analysis on COVID-19 and food cold chain systems.Food control · 2022Article
- Construction of a Traceability System for Food Industry Chain Safety Information Based on Internet of Things Technology.Frontiers in public health · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Traceability is key to ensure food quality and safety from farm to fork, yet high implementation costs and the complexity of the food supply chain pose challenges to its operation. Here we propose a mobile-based bidirectional tracing system for food products that integrates graph data and peer-to-peer architecture. Our system allows data synchronization to happen seamlessly between all connected nodes, as data are gathered through market transactions and all related product information is concatenated by scanning 2D product barcodes. The system's decentralized and flexible structure favours stakeholder involvement and is applicable to various and dynamic food networks. By promoting resource efficiency and transparency of origin, production and distribution, the system ensures mesh surveillance and sheds light on complex food networks, ultimately contributing to the advancement of food research.
Identifiers
37128031What OpenQuestion holds
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.