Elemental characterisation of native lichens collected in an area affected by traditional charcoal production

Canha, Nuno; Justino, Ana Rita; Galinha, Catarina; Lage, Joana; Stieghorst, Christian; Révay, Zsolt; Alves, Célia; Almeida, Susana Marta

doi:10.1007/s10967-020-07224-3

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Book1

Other1

Article1

Relationship

Self Cite0

Independent3

Authors

Journals

Cited by 3 publications

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Chemical analysis with neutrons

Szentmiklósi,

Stieghorst,

Gméling

et al. 2024

Non-Destructive Material Characterization Methods

View full text Add to dashboard Cite

Chemical analysis with neutrons

Szentmiklósi,

Stieghorst,

Gméling

et al. 2024

Non-Destructive Material Characterization Methods

View full text Add to dashboard Cite

Automation of PGAA Spectra Analysis with Deep Learning

Boschmann,

Stieghorst,

Knezevic

et al. 2024

2024 IEEE 22nd International Conference on Industrial Informatics (INDIN)

View full text Add to dashboard Cite

Strawberry Plant as a Biomonitor of Trace Metal Air Pollution—A Citizen Science Approach in an Urban-Industrial Area near Lisbon, Portugal

Gamelas,

Canha,

Justino

et al. 2024

Plants

View full text Add to dashboard Cite

A biomonitoring study of air pollution was developed in an urban-industrial area (Seixal, Portugal) using leaves of strawberry plants (Fragaria × ananassa Duchesne ex Rozier) as biomonitors to identify the main sources and hotspots of air pollution in the study area. The distribution of exposed strawberry plants in the area was based on a citizen science approach, where residents were invited to have the plants exposed outside their homes. Samples were collected from a total of 49 different locations, and their chemical composition was analyzed for 22 chemical elements using X-ray Fluorescence spectrometry. Source apportionment tools, such as enrichment factors and principal component analysis (PCA), were used to identify three different sources, one geogenic and two anthropogenic (steel industry and traffic), besides plant major nutrients. The spatial distribution of elemental concentrations allowed the identification of the main pollution hotspots in the study area. The reliability of using strawberry leaves as biomonitors of air pollution was evaluated by comparing them with the performance of transplanted lichens by regression analysis, and a significant relation was found for Fe, Pb, Ti, and Zn, although with a different accumulation degree for the two biomonitors. Furthermore, by applying PCA to the lichen results, the same pollution sources were identified.

show abstract

Elemental characterisation of native lichens collected in an area affected by traditional charcoal production

Cited by 3 publications

References 46 publications

Chemical analysis with neutrons

Chemical analysis with neutrons

Automation of PGAA Spectra Analysis with Deep Learning

Strawberry Plant as a Biomonitor of Trace Metal Air Pollution—A Citizen Science Approach in an Urban-Industrial Area near Lisbon, Portugal

Contact Info

Product

Resources

About