Iron Speciation in Urban Atmospheric Aerosols: Comparison between Thermodynamic Modeling and Direct Measurements

Metals are important components of atmospheric aerosols for both health and atmospheric reactivity. Coordination chemistry, leading to the formation of metal–ligand complexes, can alter metal solubility and their redox activity in solution; however, such processes have been so far predominantly studied via thermodynamic modeling approaches alone. Such approaches have indicated iron-oxalate complexes as major species of interest in urban environments. In this study, aerosol samples collected in the urban environment of Padua (Italy) are used to compare the speciation picture of iron obtained by thermodynamic modeling with that measured experimentally using X-ray absorption spectroscopy (XAS). The results showed broadly consistent speciation pictures between the two approaches, however, with some quantitative differences probably due to a discrepancy between bulk and single particle chemical composition of the aerosol samples. The XAS results showed the presence of iron-oxalate complexes in the samples, with both Fe(III) and Fe(II), and also suggested that most of the Fe may be mixed with organic matter on an atomic level. The thermodynamic modeling results indicated malonate as an additional important ligand besides oxalate and a potential candidate for explaining the mixed iron-organic nature of the aerosol samples.

Authors

Institutions

Publication Details

Journal
ACS Earth and Space Chemistry
Published
2025-03-11
DOI
https://doi.org/10.1021/acsearthspacechem.4c00359
Citations
4
Primary Topic
Radioactivity and Radon Measurements
Type
article
Field-Weighted Citation Impact
6.16

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Iron Speciation in Urban Atmospheric Aerosols: Comparison between Thermodynamic Modeling and Direct Measurements

Thomas Huthwelker, R. J. Harrison, Markus Ammann, Alexander Zherebker et al.
4 citations
ACS Earth and Space Chemistry
Radioactivity and Radon Measurements
6.16
article

Iron Speciation in Urban Atmospheric Aerosols: Comparison between Thermodynamic Modeling and Direct Measurements

Thomas Huthwelker, R. J. Harrison, Markus Ammann, Alexander Zherebker, Denis Badocco, S. DaRonco, Camelia Nicoleta Borca, Paolo Pastore, Hassan Aftab Sheikh, Chiara Giorio, Lidia Soldà, Mushtari Saidikova
article en
4 citations

Abstract

Metals are important components of atmospheric aerosols for both health and atmospheric reactivity. Coordination chemistry, leading to the formation of metal–ligand complexes, can alter metal solubility and their redox activity in solution; however, such processes have been so far predominantly studied via thermodynamic modeling approaches alone. Such approaches have indicated iron-oxalate complexes as major species of interest in urban environments. In this study, aerosol samples collected in the urban environment of Padua (Italy) are used to compare the speciation picture of iron obtained by thermodynamic modeling with that measured experimentally using X-ray absorption spectroscopy (XAS). The results showed broadly consistent speciation pictures between the two approaches, however, with some quantitative differences probably due to a discrepancy between bulk and single particle chemical composition of the aerosol samples. The XAS results showed the presence of iron-oxalate complexes in the samples, with both Fe(III) and Fe(II), and also suggested that most of the Fe may be mixed with organic matter on an atomic level. The thermodynamic modeling results indicated malonate as an additional important ligand besides oxalate and a potential candidate for explaining the mixed iron-organic nature of the aerosol samples.

ACS Earth and Space ChemistryVol. 9(3)
University of Padua (IT), University of Cambridge (GB), Paul Scherrer Institute (CH)
University of Cambridge, Università degli Studi di Padova
Sustainable cities and communities
Openalex Percentile: Top 5%
Radioactivity and Radon Measurements
6.16
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.