The DOI matches its Crossref record.
Characterization of metals in PM1 and PM10 and health risk evaluation at an urban site in the western Mediterranean
Abstract
PM 1 and PM 10 samples collected in the urban center of Elche during two years were analyzed by Energy Dispersive X-Ray Fluorescence in order to determine the concentrations of the following metals: K, Ca, Ti, V, Cr, Mn, Fe, Ni, Cu, Zn, Sr and Ba. The influence of traffic and Saharan dust intrusions on PM levels and metal content was studied in this work. The results indicate that the coarse fraction was affected more by variations in traffic intensity than the submicron fraction. The concentrations of Ca, commonly used as a tracer of road dust, showed the highest decreases during the weekends due to the reduction in traffic-induced resuspension. In contrast, Saharan events had a greater impact on the levels of other metals such as Ti and Fe, significantly affecting their seasonal variability. High concentrations of V and Ni compared with the values found at larger urban areas were observed. This could be attributed to a significant contribution from soils, Saharan dust and even ship emissions. Enrichment factors calculated using Ti as a reference element indicate that Zn and Cu are predominantly emitted by anthropogenic activities. In fact, Saharan dust intrusions had a minor influence on the average concentrations of these metals. Non-carcinogenic health hazards associated with exposure to airborne metals were lower than the safety threshold (hazard quotient < 1). Carcinogenic risks for Cr (VI) and Ni were between 10-6 and 10-4 and, therefore, within the range considered acceptable by the US EPA.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Other authors also tried to analyse these two fractions (PM1 and PM10) of particulate matter in the urban environment75–78. However, the number of analytical methods used was smaller.”
From Source attribution of carbonaceous fraction of particulate matter in the urban atmosphere based on chemical and carbon isotope composition (2024) · cites this paper as [75]
Citations
Cites
No references could be resolved yet.
Research works printed but not linked: 50
- Arhami, 2017, Seasonal trends, chemical speciation and source apportionment of fine PM in Tehran, Atmos. Environ., 153, 70, 10.1016/j.atmosenv.2016.12.046 · DOI
- Athanasopoulou, 2016, Long-range transport of Saharan dust and chemical transformations over the Eastern Mediterranean, Atmos. Environ., 140, 592, 10.1016/j.atmosenv.2016.06.041 · DOI
- Bari, 2016, Fine particulate matter (PM2.5) in Edmonton, Canada: source apportionment and potential risk for human health, Environ. Pollut., 218, 219, 10.1016/j.envpol.2016.06.014 · DOI
- Becagli, 2012, Evidence for heavy fuel oil combustion aerosols from chemical analyses at the island of Lampedusa: a possible large role of ships emissions in the Mediterranean, Atmos. Chem. Phys., 12, 3479, 10.5194/acp-12-3479-2012 · DOI
- Bosco, 2005, Case study: inorganic pollutants associated with particulate matter from an area near a petrochemical plant, Environ. Res., 99, 18, 10.1016/j.envres.2004.09.011 · DOI
- Bove, 2016, PM10 source apportionment applying PMF and chemical tracer analysis to ship-borne measurements in the Western Mediterranean, Atmos. Environ., 125, 140, 10.1016/j.atmosenv.2015.11.009 · DOI
- Brown, 2014, UK concentrations of chromium and chromium (VI), measured as water-soluble chromium, in PM10, Atmos. Environ., 99, 385, 10.1016/j.atmosenv.2014.10.008 · DOI
- Chen, 2008, Sources and fluxes of atmospheric trace elements to the Gulf of Aqaba, Red sea, J. Geophys. Res., 113
- Chen, 2009, Effects of metals within ambient air particulate matter (PM) on human health, Inhal. Toxicol., 21, 1, 10.1080/08958370802105405 · DOI
- Cheung, 2010, Emissions of particulate trace elements, metals and organic species from gasoline, diesel, and biodiesel passenger vehicles and their relation to oxidative potential, Aerosol. Sci. Technol., 44, 500, 10.1080/02786821003758294 · DOI
- Chiari, 2018, Comparison of PIXE and XRF analysis of airborne particulate matter samples collected on Teflon and quartz fibre filters, Nucl. Instrum. Meth. B, 417, 128, 10.1016/j.nimb.2017.07.031 · DOI
- Cho, 2011, A literature review of concentrations and size distributions of ambient airborne Pb-containing particulate matter, Atmos. Environ., 45, 5005, 10.1016/j.atmosenv.2011.05.009 · DOI
- Crespi, 2016, Implementing constrained multi-time approach with bootstrap analysis in ME-2: an application to PM2.5 data from Florence (Italy), Sci. Total Environ., 541, 502, 10.1016/j.scitotenv.2015.08.159 · DOI
- Cuspilici, 2017, Study of Saharan dust influence on PM10 measures in Sicily from 2013 to 2015, Ecol. Indic, 76, 297, 10.1016/j.ecolind.2017.01.016 · DOI
- Diapouli, 2017, Evolution of air pollution source contributions over one decade, derived by PM10 and PM2.5 source apportionment in two metropolitan urban areas in Greece, Atmos. Environ., 164, 416, 10.1016/j.atmosenv.2017.06.016 · DOI
- Díaz, 2012, Saharan dust and association between particulate matter and case-specific mortality: a case-crossover analysis in Madrid (Spain), Environ. Health, 11, 1, 10.1186/1476-069X-11-11 · DOI
- Engelbrecht, 2013, Assessing sources of airborne mineral dust and other aerosols, in Iraq, Aeolian Res., 9, 153, 10.1016/j.aeolia.2013.02.003 · DOI
- Galindo, 2013, Seasonal and interannual trends in PM levels and associated inorganic ions in southeastern Spain, Microchem. J., 110, 81, 10.1016/j.microc.2013.02.009 · DOI
- Galindo, 2017, Day-night variability of water-soluble ions in PM10 samples collected at a traffic site in southeastern Spain, Environ. Sci. Pollut. Res., 24, 805, 10.1007/s11356-016-7836-1 · DOI
- Galindo, 2017, Regional and long-range transport of aerosols at Mt. Aitana, Southeastern Spain, Sci. Total Environ., 584–585, 723, 10.1016/j.scitotenv.2017.01.108 · DOI
- Gottipolu, 2008, Cardiopulmonary responses of intratracheally instilled tire particles and constituent metal components, Inhal. Toxicol., 20, 473, 10.1080/08958370701858427 · DOI
- Grigoratos, 2015, Brake wear particle emissions: a review, Environ. Sci. Pollut. Res., 22, 2491, 10.1007/s11356-014-3696-8 · DOI
- Lippmann, 2009, Health effects of concentrated ambient air particulate matter (CAPs) and its components, Crit. Rev. Toxicol., 39, 865, 10.3109/10408440903300080 · DOI
- López, 2005, Levels of selected metals in ambient air PM10 in an urban site of Zaragoza (Spain), Environ. Res., 99, 58, 10.1016/j.envres.2005.01.007 · DOI
- Megido, 2017, Suburban air quality: human health hazard assessment of potentially toxic elements in PM10, Chemosphere, 177, 284, 10.1016/j.chemosphere.2017.03.009 · DOI
- Monaci, 2000, Biomonitoring of airborne metals in urban environments: new tracers of vehicle emission, in place of lead, Environ. Pollut., 107, 321, 10.1016/S0269-7491(99)00175-X · DOI
- Nava, 2012, Saharan dust impact in central Italy: an overview on three years elemental data records, Atmos. Environ., 60, 444, 10.1016/j.atmosenv.2012.06.064 · DOI
- Nicolás, 2008, Quantification of Saharan and local dust impact in an arid Mediterranean area by the positive matrix factorization (PMF) technique, Atmos. Environ., 42, 8872, 10.1016/j.atmosenv.2008.09.018 · DOI
- Nicolás, 2009, Characterization of events by aerosol mass size distributions, J. Environ. Monit., 11, 394, 10.1039/B813042F · DOI
- Nicolás, 2011, Assessment of potential source regions of PM2.5 components at a southwestern Mediterranean site, Tellus B, 63, 96, 10.1111/j.1600-0889.2010.00510.x · DOI
- Nicolás, 2015, PM1 variability and transport conditions between an urban coastal área and a high mountain site during the cold season, Atmos. Environ., 118, 127, 10.1016/j.atmosenv.2015.07.042 · DOI
- Pacyna, 2001, An assessment of global and regional emissions of trace metals to the atmosphere from anthropogenic sources worldwide, Environ. Rev., 9, 269, 10.1139/a01-012 · DOI · Paper page
- Padoan, 2016, Spatial distribution and potential sources of trace elements in PM10 monitored in urban and rural sites of Piedmont Region, Chemosphere, 145, 495, 10.1016/j.chemosphere.2015.11.094 · DOI
- Pant, 2013, Estimation of the contribution of road traffic emissions to particulate matter concentrations from field measurements: a review, Atmos. Environ., 77, 78, 10.1016/j.atmosenv.2013.04.028 · DOI
- Pateraki, 2012, Carbonaceous and ionic compositional patterns of fine particles over an urban Mediterranean area, Sci. Total Environ., 424, 251, 10.1016/j.scitotenv.2012.02.046 · DOI
- Roels, 2012, Manganese exposure and cognitive deficits: a growing concern for manganese neurotoxicity, Neurotoxicology, 34, 872, 10.1016/j.neuro.2012.03.009 · DOI
- Roig, 2013, In vitro tests to assess toxic effects of airborne PM10 samples. Correlation with metals and chlorinated dioxins and furans, Sci. Total Environ., 443, 791, 10.1016/j.scitotenv.2012.11.022 · DOI
- Romanazzi, 2014, PM10 size distribution of metals and environmental-sanitary risk analysis in the city of Torino, Chemosphere, 112, 210, 10.1016/j.chemosphere.2014.04.034 · DOI
- Ruiz, 2011, Contribution of point sources to trace metal levels in urban areas surrounded by industrial activities in the Cantabria Region (Northern Spain), Procedia Environ. Sci., 4, 76, 10.1016/j.proenv.2011.03.010 · DOI
- Salvador, 2012, Evaluation of the changes in the Madrid metropolitan area influencing air quality: analysis of 1999–2008 temporal trend of particulate matter, Atmos. Environ., 57, 175, 10.1016/j.atmosenv.2012.04.026 · DOI
- Samara, 2005, Size distribution of airborne particulate matter and associated heavy metals in the roadside environment, Chemosphere, 59, 1197, 10.1016/j.chemosphere.2004.11.061 · DOI
- Sánchez-Soberón, 2015, Main components and human health risks assessment of PM10, PM2.5, and PM1 in two areas influenced by cement plants, Atmos. Environ., 120, 109, 10.1016/j.atmosenv.2015.08.020 · DOI
- Singh, 2002, Size distribution and diurnal characteristics of particle-bound metals in source and receptor sites of the Los Angeles Basin, Atmos. Environ., 36, 1675, 10.1016/S1352-2310(02)00166-8 · DOI
- Squizzato, 2016, Factors, origin and sources affecting PM1 concentrations and composition at an urban background site, Atmos. Res., 180, 262, 10.1016/j.atmosres.2016.06.002 · DOI
- Terrouche, 2016, Identification of sources of atmospheric particulate matter and trace metals in Constantoine, Algeria, Air Qual. Atmos. Health, 9, 69, 10.1007/s11869-014-0308-1 · DOI
- Thorpe, 2008, Sources and properties of non-exhaust particulate matter from road traffic: a review, Sci. Total Environ., 400, 270, 10.1016/j.scitotenv.2008.06.007 · DOI
- Tchounwou, 2012, Heavy metals toxicity and the environment, EXS, 101, 133
- Vasilatou, 2017, Characterization of PM2.5 chemical composition at the Demokritos suburban station, vol. 24, 11836
- Yeh, 2017, Effects of seasonality and transport route on chemical characteristics of PM2.5 and PM2.5-10 in the east Asian Pacific rim región, Aerosol Air Qual. Res., 17, 2988, 10.4209/aaqr.2016.12.0569 · DOI
- Yubero, 2015, Temporal variations of PM1 major components in an urban street canyon, Environ. Sci. Pollut. Res., 22, 10.1007/s11356-015-4599-z · DOI
Cited by
Sorted by citations
Skiba, A., Styszko, K., Tobler, A., Casotto, R., Gorczyca, Z., Furman, P., Samek, L., Wideł, D., Zimnoch, M., Kasper-Giebl, A., et al. (2024) · Scientific Reports · doi:10.1038/s41598-024-57829-x · Cited by 16
“Other authors also tried to analyse these two fractions (PM 1 and PM 10 ) of particulate matter in the urban environment 75–78 .”
Background
Metadata
- Authors
- Galindo, N., Yubero, E., Nicolás, J. F., Varea, M., & Crespo, J.
- Affiliations
- Universitat de Miguel Hernández d'Elx (ES)
- Corresponding author
- Galindo, N.
- Venue
- Chemosphere
- Publisher
- Elsevier BV
- Published
- 2018-06
- Volume
- 201
- Pages
- 243-250
- ISSN
- 0045-6535 (ISSN-L)
- OpenAlex
- W2791047489
- Cited by
- 72
- References
- 0
- Citations by year
- 2026: 6 · 2025: 12 · 2024: 4 · 2023: 11 · 2022: 9 · 2021: 9 · 2020: 11 · 2019: 7 · 2018: 3
- FWCI
- 2.81
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Chemosphere (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Plan of the Spanish Government (CGL2012-39623-C02-2)
- PRISMA
- Topics
- Physical Sciences › Environmental Science › Pollution › Heavy metals in environment
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Atmospheric chemistry and aerosols
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Air Quality and Health Impacts
- Keywords
- PM1, PM10, urban particulate matter, trace metals, vehicle emissions, Saharan dust, Elche, enrichment factor, health risk assessment, cancer risk, non-carcinogenic risk, seasonal variation, road dust, ship emissions
- MeSH terms
- Air Pollutants, Dust, Environmental Monitoring, Humans, Metals, Urban Renewal, Risk Assessment, Mediterranean Region, Particulate Matter
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Characterization of metals in PM1 and PM10 and health risk evaluation at an urban site in the western Mediterranean. https://app.cochat.ai/papers/10.1016/j.chemosphere.2018.02.162
- The paper
- Galindo, N., Yubero, E., Nicolás, J. F., Varea, M., & Crespo, J. (2018). Characterization of metals in PM1 and PM10 and health risk evaluation at an urban site in the western Mediterranean. Chemosphere. https://doi.org/10.1016/j.chemosphere.2018.02.162