Evidence map›Paper›PMID 37569230›Full record

ArticleFoods (Basel, Switzerland)2023

Evaluation of Pallet Covers Performance for Produce Protection in Cold Chain Logistics for Chard, Cucumbers and Carrots.

Ricardo Badia-Melis, Luis Ruiz-Garcia, Jose Ignacio Robla-Villalba, Pedro Hoyos-Echevarria

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ricardo Badia-MelisDepartamento de Ingeniería Agroforestal, ETSIAAB, Universidad Politécnica de Madrid (UPM), Edificio Motores, Avda. Puerta de Hierro 2, 28040 Madrid, Spain.
Luis Ruiz-GarciaDepartamento de Ingeniería Agroforestal, ETSIAAB, Universidad Politécnica de Madrid (UPM), Edificio Motores, Avda. Puerta de Hierro 2, 28040 Madrid, Spain.ORCID 0000-0001-6656-6507
Jose Ignacio Robla-VillalbaSensors Technology Laboratory, Centro Nacional de Investigaciones Metalúrgicas, Consejo Superior de Investigaciones Científicas (CENIM-CSIC), Avenida Gregorio del Amo 8, 28040 Madrid, Spain.ORCID 0000-0002-5009-8507
Pedro Hoyos-EchevarriaDepartamento de Producción Agraria, ETSIAAB, Universidad Politécnica de Madrid (UPM), Edificio Agrícolas, Avda. Puerta de Hierro 2, 28040 Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cold chain disruption and refrigeration failures are common issues in the logistics of perishable food products. In these cases, the use of pallet covers should be very useful, delaying the increase of product temperatures inside the pallets until cooling conditions are restored. However, there are no studies about the performance of pallet covers in these types of situations, which could persist for hours. This paper evaluates the performance of three different types of cold chain covers versus having no cover for three different types of vegetables (chard, cucumbers, and carrots). A refrigeration failure during the cold chain was simulated. The three covers presented an improvement in temperature loss compared to the no-cover situation, with the average time for the temperature to increase from 4 to 10 °C with a cover being a range of 214 to 506 min, while for no cover, from 162 to 211 min. Relative humidity (RH) always presented improved preservation with a cover than with no cover, except for one case. The correlation between the thermal images and sensor temperatures was also studied.

Indexed as

cold chainfood controlfood safetypallet coverthermal image

Identifiers

PMID37569230
PMCPMC10419181

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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.