ArticleScientific reports2026
FreshTrack: an innovative IoT-sensor-driven food freshness estimation framework integrating blockchain.
Article in Scientific reports, 2026. 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
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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.
- Smart Chemical Sensors for Monitoring and Detection of Spoilage in Fermented and Non-Fermented Food Products.Sensors (Basel, Switzerland) · 2026Review
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Food spoilage significantly increases global waste, particularly for perishable goods, where maintaining real-time freshness is challenging. Monitoring and tracking food freshness ensures food safety, minimizes waste, and enhances supply chain efficiency. This study introduces an Internet of Things (IoT)-sensor-driven, innovative framework called FreshTrack that estimates food freshness by tracking environmental factors, such as spoilage rates and microbial growth over time, based on temperature and humidity. In contrast to current methods that primarily estimate shelf life or detect spoilage in a binary fashion, this framework develops a model that dynamically estimates food freshness scores, yielding a numerical score ranging from 1 to 100. Additionally, perishable food items are categorized by freshness score to provide more precise, actionable insights. To strengthen sustainability outcomes, FreshTrack integrates blockchain-based smart contracts that automatically trigger alerts when freshness falls below predefined thresholds, encouraging timely use or redistribution of perishable items. The proposed concept is validated through several controlled experiments involving perishable food items equipped with sensors and IoT devices. These experiments demonstrate the model’s precision in estimating the freshness score across diverse conditions, while providing low latency and maintaining data privacy. By integrating IoT sensor monitoring with blockchain-enabled automation, FreshTrack offers a scalable, sustainable solution to enhance food safety, minimize waste, and support global sustainability objectives.
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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.