Species-Specific Particulate Matter Retention by Shade-Tolerant Plants in Modular Living Walls: SEM-Based Quantification and Trait-Guided Selection

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Authors: Caterina Dalsasso, Mattia Martin Azzella, Maria Rosaria Bruno, Antonella Campopiano, Annapaola Cannizzaro, Federica Angelosanto, Fabrizio Tucci
Cited by: 1
References: 42

Abstract

Airborne particulate matter (PM) poses a major health risk, yet species selection for vertical greening systems (VGS) is poorly quantified. We evaluated PM retention by seven commercially available shade-tolerant species grown in a modular living wall system (LWS) on a north-facing façade at Sapienza University of Rome. After 3 months of in situ exposure, leaves were analyzed via SEM (1000×), collecting 210 images, 30 per species. An automated FIJI/ImageJ pipeline segmented particles, computed equivalent circular diameters, and classified them into (PM < 0.5, PM [0.5, 1), PM [1, 2.5), PM [2.5, 10), and PM ≥ 10 µm). Across species, ultrafine and fine fractions dominated deposits, with the 10 µm). Heuchera sanguinea consistently displayed the lowest densities across all size classes. Performance patterns aligned with leaf surface traits: wax-coated, moderately rough or gently structured cuticles favored adhesion, whereas highly irregular microrelief did not consistently enhance retention. Methodological considerations include thresholding sensitivity, use of equivalent circular diameter for irregular particles, and an upper area filter that may undercount large aggregates. The findings identify Vinca minor cv. albomarginata and Fatsia japonica as priority species for PM mitigation in shaded VGS, with Hedera helix complementing coarse PM capture. The results provide trait-based, design-oriented guidance for living wall species selection in Mediterranean urban and indoor contexts.

Fields of Study & Subjects

Plant responses to elevated CO2 Indoor Air Quality and Microbial Exposure Urban Green Space and Health

Publication details

Journal / source
Applied Sciences
Publisher
MDPI AG
Volume
16
Issue
8
Pages
3811–3811
Publication date
14 April 2026
Language
EN