Evidence map›Paper›PMID 39470907›Full record

ArticleEnvironmental science and pollution research international2024

Removal of formaldehyde from indoor air by potted Sansevieria trifasciata plants: dynamic influence of physiological traits on the process.

Jian Li, Silan Chen, Jiaochan Zhong, Shujie Lin, Shifan Pang, Qianying Tu, Igor Agranovski

Abstract read
In one paragraph

Article in Environmental science and pollution research international, 2024. 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

7 authors.

Jian LiSchool of Environmental and Chemical Engineering, Nanchang Hangkong University, Nanchang, 330063, China.
Silan ChenSchool of Environmental and Chemical Engineering, Nanchang Hangkong University, Nanchang, 330063, China.
Jiaochan ZhongSchool of Environmental and Chemical Engineering, Nanchang Hangkong University, Nanchang, 330063, China.
Shujie LinSchool of Environmental and Chemical Engineering, Nanchang Hangkong University, Nanchang, 330063, China.
Shifan PangSchool of Environmental and Chemical Engineering, Nanchang Hangkong University, Nanchang, 330063, China.
Qianying TuSchool of Environmental and Chemical Engineering, Nanchang Hangkong University, Nanchang, 330063, China.
Igor AgranovskiSchool of Engineering and Built Environment, Griffith University, Brisbane, QLD, 4111, Australia. i.agranovski@griffith.edu.au.ORCID http://orcid.org/0000-0002-8457-7856

Funding

China Scholarship Council CSC No.201408360050Foundation of Education Department of Jiangxi Province GJJ170576National Natural Science Foundation of China Grants 21467018
6 · The paper itself

Abstract

Plant-based removal of indoor formaldehyde is a widely studied method, yet little is known about the dynamic changes in this process. In this study, potted Sansevieria trifasciata Prain plants were exposed to 5-ppm formaldehyde gas concentration for 7 days. The results showed that formaldehyde exposure led to plant stress, affected photosynthesis, and damaged membrane lipids, as evidenced by a decrease in chlorophyll content, an increase in Chl a/b ratio and malondialdehyde content. However, the formaldehyde removal ability of the plants increased over the first 5 days, peaking at 18.02 mg h

Indexed as

FormaldehydeAir PollutantsAir Pollution, IndoorAsparagaceaeChlorophyllPhotosynthesisAir PollutantsChlorophyllFormaldehydeAntioxidant oxidaseDynamic fumigationFormaldehyde stressPhytohormonePlant growth-promoting endophytes

Identifiers

PMID39470907
PMCPMC11599484

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.