ArticlePhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2014
Remote quality monitoring in the banana chain.
Article in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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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.
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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
8 citing papers in PubMed.
- Linking microbial contamination to food spoilage and food waste: the role of smart packaging, spoilage risk assessments, and date labeling.Frontiers in microbiology · 2023Review
- Nanosensor Applications in Plant Science.Biosensors · 2022Review
- Quantitative Determination of Ethylene Using a Smartphone-Based Optical Fiber Sensor (SOFS) Coupled with Pyrene-Tagged Grubbs Catalyst.Biosensors · 2022Article
- Bio-Based Sensors for Smart Food Packaging-Current Applications and Future Trends.Sensors (Basel, Switzerland) · 2021Review
- Fruit Quality Monitoring with Smart Packaging.Sensors (Basel, Switzerland) · 2021Review
- Reducing food losses by intelligent food logistics.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2014Article
- Ethylene detection in fruit supply chains.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2014Article
- Communication techniques and challenges for wireless food quality monitoring.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2014Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Quality problems occurring during or after sea transportation of bananas in refrigerated containers are mainly caused by insufficient cooling and non-optimal atmospheric conditions, but also by the heat generated by respiration activity. Tools to measure and evaluate these effects can largely help to reduce losses along the banana supply chain. The presented green life model provides a tool to predict the effect of deviating temperature, relative humidity, and CO2 and O2 gas concentrations on the storage stability of bananas. A second thermal model allows evaluation of the cooling efficiency, the effect of changes in packaging and stowage and the amount of respiration heat from the measured temperature curves. Spontaneous ripening causes higher respiration heat and CO2 production rate. The resulting risk for creation of hot spots increases in positions in which the respiration heat exceeds the available cooling capacity. In case studies on the transport of bananas from Costa Rica to Europe, we validated the models and showed how they can be applied to generate automated warning messages for containers with reduced banana green life or with temperature problems and also for remote monitoring of the ripening process inside the container.
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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.