This one-year study integrates multi-elemental fractionation, physiological, and gene expression analyses to investigate PM retention and plant responses in a nine-species green wall at a high-traffic urban site. A chemical fractionation approach was optimized to discriminate between endogenous and exogenous elements, overcoming a major limitation of conventional methodologies. PCA of the insoluble fraction of Al, Cr, Cs, Fe, Mn, Mo, Rb, Sb, Sn, Ti, and Zn identified as the species with the highest and most stable long-term retention of non-exhaust traffic-derived particles, whereas Pteris vittata showed the lowest and most unstable retention capacity. Insoluble elements reliably traced PM deposition, while soluble and leaf fractions were strongly influenced by endogenous pools of both essential nutrients and tracers such as Cs and Rb, potentially leading to overestimation of PM deposition by conventional approaches. SEM-EDS confirmed up to 100-fold higher particle retention in than . Physiological and gene expression analyses revealed pronounced seasonal modulation in , suggesting greater physiological and molecular plasticity in response to environmental fluctuations, whereas maintained comparatively stable photosynthetic and transcriptional profiles. The results provide a robust framework for plant-based biomonitoring and urban green infrastructure design.

Urban Green Walls under Traffic Stress: Linking the Elemental Composition of Particulate Matter Deposition to Plant Physiological and Gene Expression Responses / Massimi, L., Antenozio, M.L., Marzi, D., Zara, A., Tiraboschi, C., Porcu, F., Varone, L., Canepari, S., Rossi, T., Pietrodangelo, A., Perrino, C., Brunetti, P.. - In: ENVIRONMENTAL SCIENCE & TECHNOLOGY. - ISSN 0013-936X. - 60:38(2026), pp. 27178-27191. [10.1021/acs.est.6c10086]

Urban Green Walls under Traffic Stress: Linking the Elemental Composition of Particulate Matter Deposition to Plant Physiological and Gene Expression Responses

Antenozio, Maria Luisa;Marzi, Davide;Zara, Alice;Tiraboschi, Caterina;Porcu, Federica;Varone, Laura;Canepari, Silvia;Pietrodangelo, Adriana;Brunetti, Patrizia
2026

Abstract

This one-year study integrates multi-elemental fractionation, physiological, and gene expression analyses to investigate PM retention and plant responses in a nine-species green wall at a high-traffic urban site. A chemical fractionation approach was optimized to discriminate between endogenous and exogenous elements, overcoming a major limitation of conventional methodologies. PCA of the insoluble fraction of Al, Cr, Cs, Fe, Mn, Mo, Rb, Sb, Sn, Ti, and Zn identified as the species with the highest and most stable long-term retention of non-exhaust traffic-derived particles, whereas Pteris vittata showed the lowest and most unstable retention capacity. Insoluble elements reliably traced PM deposition, while soluble and leaf fractions were strongly influenced by endogenous pools of both essential nutrients and tracers such as Cs and Rb, potentially leading to overestimation of PM deposition by conventional approaches. SEM-EDS confirmed up to 100-fold higher particle retention in than . Physiological and gene expression analyses revealed pronounced seasonal modulation in , suggesting greater physiological and molecular plasticity in response to environmental fluctuations, whereas maintained comparatively stable photosynthetic and transcriptional profiles. The results provide a robust framework for plant-based biomonitoring and urban green infrastructure design.
2026
particulate matter; elements; non-exhaust traffic; biomonitoring; plant physiological and gene expression analyses
01 Pubblicazione su rivista::01a Articolo in rivista
Urban Green Walls under Traffic Stress: Linking the Elemental Composition of Particulate Matter Deposition to Plant Physiological and Gene Expression Responses / Massimi, L., Antenozio, M.L., Marzi, D., Zara, A., Tiraboschi, C., Porcu, F., Varone, L., Canepari, S., Rossi, T., Pietrodangelo, A., Perrino, C., Brunetti, P.. - In: ENVIRONMENTAL SCIENCE & TECHNOLOGY. - ISSN 0013-936X. - 60:38(2026), pp. 27178-27191. [10.1021/acs.est.6c10086]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1776954
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