Evidence map›Paper›PMID 40887193›Full record

ArticleSheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi2025

[Simulation analysis of adaptability of large airborne negative pressure isolation cabin to aviation conditions].

Lei Guo, Falin Li, Lang Jiang, Haibo Du, Bingjie Xue, Wei Yong, Yuanyuan Jiang, Muzhe Zhang

Abstract readEnglish Abstract
In one paragraph

Article in Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi, 2025. 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
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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

8 authors.

Lei GuoAir Force Medical Center, Air Force Medical University, PLA, Beijing 100142, P. R. China.
Falin LiAir Force Medical Center, Air Force Medical University, PLA, Beijing 100142, P. R. China.
Lang JiangAir Force Medical Center, Air Force Medical University, PLA, Beijing 100142, P. R. China.
Haibo DuAir Force Medical Center, Air Force Medical University, PLA, Beijing 100142, P. R. China.
Bingjie XueAir Force Medical Center, Air Force Medical University, PLA, Beijing 100142, P. R. China.
Wei YongAir Force Medical Center, Air Force Medical University, PLA, Beijing 100142, P. R. China.
Yuanyuan JiangAir Force Medical Center, Air Force Medical University, PLA, Beijing 100142, P. R. China.
Muzhe ZhangAir Force Medical Center, Air Force Medical University, PLA, Beijing 100142, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to solve the problems of difficult test, high cost and long cycle in the development of large-scale airborne negative pressure isolation system, the simulation analysis of negative pressure response characteristics is carried out around various aviation conditions such as aircraft ascending, leveling and descending, especially rapid decompression, based on the computational fluid dynamics (CFD) method. The results showed that the isolation cabin could achieve -50 Pa pressure difference environment and form a certain pressure gradient. The exhaust air volume reached the maximum value in the early stage of the aircraft's ascent, and gradually decreased with the increase of altitude until it was level flying. In the process of aircraft descent, the exhaust fan could theoretically maintain a pressure difference far below -50 Pa without working; Under the special condition of rapid pressure loss, it was difficult to deal with the rapid change of low pressure only by the exhaust fan, so it was necessary to design safety valve and other anti-leakage measures in the isolation cabin structure. Therefore, the initial stage of aircraft ascent is the key stage for the adjustment and control of the negative pressure isolation system. By controlling the exhaust air volume and adjusting parameters, it can adapt to the change of low pressure under normal flight conditions, form a relatively stable negative pressure environment, and meet the needs of biological control, isolation and transport.

Indexed as

AircraftAviationAir PressureComputer SimulationEquipment DesignHumansHydrodynamicsPressureComputational fluid dynamicsFlight conditionsInfectious diseasesIsolation cabinNegative pressure

Identifiers

PMID40887193
PMCPMC12409492

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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.