Evidence map›Paper›PMID 38849491›Full record

ArticleScientific reports2024

Study on the ability of indoor plants to absorb and purify benzene pollution.

Donghe Li, Han Wang, Qingyu Gao, Min Lu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. 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

4 authors.

Donghe LiSchool of Architecture and Built Environment, Faculty of Science Engineering and Built Environment, Deakin University, Geelong, VIC, 3220, Australia.
Han WangLandscape Architecture Research Center, Shandong Jianzhu Univerity, Jinan, 250101, Shandong, China.
Qingyu GaoLandscape Architecture Research Center, Shandong Jianzhu Univerity, Jinan, 250101, Shandong, China.
Min LuLandscape Architecture Research Center, Shandong Jianzhu Univerity, Jinan, 250101, Shandong, China. lumin@sdjzu.edu.cn.

Funding

Shandong Natural Science Foundation Project ZR2020ME235Shandong Provincial Department of Housing and Urban Rural Development Science and Technology Plan Project 2020-K6-1
6 · The paper itself

Abstract

The ability of indoor plants to purify benzene pollution is the basic basis for the selection of plants for ecological remediation of indoor benzene pollution. In this study, the purification rate and the purification amount per unit leaf area of 13 test plants at three benzene concentrations were determined by indoor fumigation experiments, and the benzene absorption and purification abilityability of indoor plants were comprehensively evaluated. The results showed that (1) there was a significant correlation between benzene concentration and purification rate and purification amount per unit leaf area. (2) At the three concentrations, Spathiphyllum floribundum showed the highest purification rate and Sansevieria trifasciata var. laurentii showed the highest purification per unit leaf area. (3) The combined results showed that Sansevieria trifasciata var. laurentii, Spathiphyllum floribundum and Aloe arborescens were the strongest absorbers and purifiers, while Podocarpus nagi and Anthurium andraeanum 'Pink champin' had the weakest absorption and purification capacity. The results of this study provide a theoretical basis and reference for the selection of plants with strong capacities to adsorb and purify benzene pollution in indoor air.

Indexed as

Air Pollution, IndoorBenzeneAdsorptionAir PollutantsBiodegradation, EnvironmentalPlant LeavesPlantsAir PollutantsBenzeneAbsorption and purification capacityBenzene pollutionIndoor plantsPurification amountPurification rate

Identifiers

PMID38849491
PMCPMC11161576

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.