Evidence map›Paper›PMID 42422581›Full record

ArticleInternational journal of food science2026

Construction and Verification of a Mathematical Model of Storage Time With Respiratory Heat Transfer.

Liying Duan, Haozhe Liu, Zhiqiang Fu, Liqiang Huang, Yan Wang

Abstract read
In one paragraph

Article in International journal of food science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Liying DuanHebei Key Laboratory of Intelligence Equipment Digitalized Design and Process Simulation, Tangshan University, Tangshan, Hebei, China, tsc.edu.cn.ORCID https://orcid.org/0009-0003-4443-3772
Haozhe LiuDepartment of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, China, sustc.edu.cn.
Zhiqiang FuSchool of Light Industry Science and Engineering, Tianjin University of Science and Technology, Tianjin, China, tust.edu.cn.ORCID https://orcid.org/0000-0003-4198-4539
Liqiang HuangSchool of Light Industry Science and Engineering, Tianjin University of Science and Technology, Tianjin, China, tust.edu.cn.
Yan WangCollege of Mechanical Engineering, Tianjin University of Science and Technology, Tianjin, China, tust.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cold chain containers are extensively applied to the fruit transport sector, and the storage time is a key performance indicator. The correlation between fruit respiration and storage longevity has not been fully elucidated. A new theoretical model is constructed by coupling conduction-convection-radiation-respiratory heat transfer, taking lemon, mango, and orange as examples. As for the cold chain container, heat transfer was constructed by shape factors, gravity-temperature difference coupling, and the radiation network method. As for fruit, the nonlinear model is used to fit the respiratory intensity at different temperatures. Theoretical predictions were compared with experimental data and simulation outcomes, which demonstrate the ability of the proposed theoretical model to serve as a substitute for simulation models in predicting experimental outcomes. Compared with the theoretical model without respiratory heat, the high prediction accuracy for the experimental results was obtained by the new theoretical model with respiratory heat. These findings reveal how fruit respiration impacts storage time in cold chain units, thereby guiding design optimization to minimize energy loss.

Indexed as

cold chain containerrespiratory heat modelstorage timetheoretical model

Identifiers

PMID42422581
PMCPMC13343370

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.