Evidence map›Paper›PMID 42177233›Full record

ArticleScientific reports2026

Integrating multivariate analysis and Air Pollution Tolerance Index (APTI) to evaluate four ornamental plants for sustainable indoor air phytoremediation.

Safinaz M Elhadad, Shalaby Ea, Ibrahim H Saleh, Mohamed Y Omar

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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

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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.

Safinaz M ElhadadCollege of pharmacy, Arab Academy for Science, Technology and Maritime Transport, Alexandria, Egypt. safinazelhadad16@gmail.com.
Shalaby EaDepartment of environmental studies, Institute of Graduate Studies and Research, Alexandria, Egypt.
Ibrahim H SalehDepartment of environmental studies, Institute of Graduate Studies and Research, Alexandria, Egypt.
Mohamed Y OmarDeanery of Scientific Research & Innovation, Arab Academy for Science, Technology and Maritime Transport, Alexandria, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Indoor air pollution, especially in pharmaceutical laboratories, poses significant health risks due to the presence of volatile organic compounds (VOCs) such as benzene, toluene, acetophenone, and benzaldehyde. This study evaluates the efficiency of air phytoremediation technology using four ornamental plant species, Cordyline fruticosa, Syngonium podophyllum, Epipremnum aureum and Chlorophytum comosum to improve Indoor Air Quality (IAQ) by acting as Plant-Based Bio-Filters (PBBFs) in both pot-based and green wall configurations. VOC concentrations were monitored in a real pharmaceutical organic laboratory. Morphological and physiological plant traits including total chlorophyll content, relative water content (RWC), leaf pH, ascorbic acid concentration, stomatal density, and cuticle wax content were evaluated. Air Pollution Tolerance Index (APTI) and dust-capturing potential were calculated to assess the resilience and effectiveness of each species under VOCs exposure. Chemometric tools Principal Component Analysis (PCA) and Orthogonal Projections to Latent Structures-Discriminant Analysis (OPLS-DA) were applied to identify species with superior removal efficiency and to explore the relationship between plant traits and VOC uptake. Among the studied species, Cordyline fruticosa demonstrated the highest removal efficiency for VOCs (87.50%), CO (88.23%), and CO₂ (36.78%), as well as the highest APTI (14.76%), stomatal density (94.34 stomata/mm

Indexed as

Air PollutantsAir Pollution, IndoorBiodegradation, EnvironmentalVolatile Organic CompoundsChlorophyllMultivariate AnalysisAir PollutantsChlorophyllVolatile Organic CompoundsAir phytoremediationIndoor air pollutionMultivariate analysisPharmaceutical laboratoryVolatile organic compounds (VOCs)

Identifiers

PMID42177233
PMCPMC13198550

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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.