Detection of metallic iron in urban dust by using high-temperature measurements supplemented with microscopic observations and Mössbauer spectra

Górka-Kostrubiec, Beata; Werner, Tomasz; Dytłow, Sylwia; Szczepaniak-Wnuk, Iga; Jeleńska, Maria; Hanc-Kuczkowska, Aneta

doi:10.1016/j.jappgeo.2019.04.022

Cited by 18 publications

(9 citation statements)

References 25 publications

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“…Hematite and magnetite are main magnetic Fe-bearing phases present in the sinter dust sample (Figure 14; Table 4). The observed Mössbauer parameter values for the spectrum of the ferric iron doublet of this sample can be interpreted to be iron-containing glass [45,46]. Mössbauer spectra of the iron-bearing sludge dusts, samples No.…”

Section: Iron-bearing Phase Identificationmentioning

confidence: 77%

“…Furthermore, two doublets were also observed: the first with IS = 1.03 mm/s and QS = 0.63 mm/s correspond to the presence of Fe 2+ in wüstite, while the second doublet with IS of about 0.19 mm/s and QS = 0.42 mm/s, is assigned to Fe 3+ ions. It might be assumed that this doublet corresponds to iron-containing glass [45,46]. Hematite and magnetite are main magnetic Fe-bearing phases present in the sinter dust sample (Figure 14; Table 4).…”

Section: Iron-bearing Phase Identificationmentioning

confidence: 99%

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Mineralogical and Chemical Specificity of Dusts Originating from Iron and Non-Ferrous Metallurgy in the Light of Their Magnetic Susceptibility

et al. 2021

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This study aims at detailed characteristics and comparison between dusts from various iron and non-ferrous metal production processes in order to identify individual mineral phases, chemical composition, and their influence on the values of magnetic susceptibility. Various analytical methods used include inductively coupled plasma optical emission spectroscopy, X-ray diffraction, scanning electron microscopy, and Mössbauer spectroscopy integrated with magnetic susceptibility measurements and thermomagnetic analysis. Metallurgical wastes that have arisen at different production stages of iron and non-ferrous steel are subjected to investigation. The analyzed dust samples from the iron and non-ferrous metallurgy differ in terms of magnetic susceptibility as well as their mineral and chemical composition. The research confirmed the presence of many very different mineral phases. In particular, interesting phases have been observed in non-ferrous dust, for example challacolloite, which was found for the first time in the dusts of non-ferrous metallurgy. Other characteristic minerals found in non-ferrous metallurgy dusts are zincite, anglesite, and lanarkite, while dusts of iron metallurgy contain mostly metallic iron and iron-bearing minerals (magnetite, hematite, franklinite, jacobsite, and wüstite), but also significant amounts of zincite and calcite.

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Section: Iron-bearing Phase Identificationmentioning

confidence: 77%

Section: Iron-bearing Phase Identificationmentioning

confidence: 99%

Mineralogical and Chemical Specificity of Dusts Originating from Iron and Non-Ferrous Metallurgy in the Light of Their Magnetic Susceptibility

et al. 2021

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“…( 2009 ) and Sagnotti and Winkler ( 2012 ) from exhaust residues from gasoline and diesel motors as well from brake wear dust collected directly in situ. This could result from different sources of particles, meaning different magnetic mineralogy such as high coercivity minerals like hematite(of geological origin e.g.,) or metallic iron (linked to abrasion of combustion cylinder, pads and disk brakes), which influences SIRM and coercivity values (Gorka‐Kostrubiec & Szczepaniak, 2017 ; Gorka‐Kostrubiec et al., 2019 ) and therefore impact the S‐Ratio and/or grain sizes parameters.…”

Section: Resultsmentioning

confidence: 99%

Barking up the Right Tree: Using Tree Bark to Track Airborne Particles in School Environment and Link Science to Society

et al. 2022

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Children's exposure to air pollution affects both their health and learning skills. Fine and ultrafine particulate matter (PM2.5, PM1), notably issued from traffic sources in urban centers, belong to the most potential harmful health hazards. However their monitoring and the society's awareness on their dangers need to be consolidated. In this study, raising teacher and pupil involvement for air quality improvement in their schools environment is reached through developing a passive monitoring technique (bio‐sensors made of tree bark). The experiment was implemented in two urban elementary schools situated close to a main traffic road of the city of Toulouse (South of France). Magnetic properties, carbonaceous fraction measurements, and scanning electronic microscopy (SEM‐EDX) investigations were realized both on passive bio‐sensors and filters issued from active sampling. We find that traffic is the main PM1 source for both outdoors and indoors at schools. Higher levels of outdoor PM in the school's environments compared to urban background are reached especially in the cold period. The schools proximity to a main traffic source and lack of ventilation are the main causes for observed PM1 accumulation in classrooms. The co‐working experiment with educational teams and pupils shows that the use of bio‐sensors is a driver for children empowerment to air pollution and therefore represents a potential key tool for the teachers though limiting eco‐anxiety. As PM accumulation is observed in many scholar environments across Europe, the proposed methodology is a step toward a better assessment of PM impact on pupil's health and learning skills.

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“…The presence of metallic Fe and/or its alloys indicates the impact of traffic-related sources. Many authors [27,28,36,60] have shown that the presence of metallic iron in street dust can indicate mobile sources, i.e., pollution resulting from moving vehicles, electric street trams, and railways. The most common metallic Fe in street dust is derived from the abrasion of metal parts of vehicles and is related to the presence of toxic heavy metals.…”

Section: Discussionmentioning

confidence: 99%

“…Meanwhile, a continuous decrease of magnetic susceptibility up to 700 • C for sample 19 can be observed, suggesting the presence of a high-temperature magnetic phase. According to previous studies on the magnetic mineralogy of street dust from Warsaw [27,28], this tail on the curve of κ(T) between 600 and 700 • C indicates the presence of metallic iron, which exhibits a Curie temperature of 780 • C [50,[60][61][62]. The heating curve of κ(T) for sample 32 does not show metallic Fe as the value of κ above the T C for magnetite is almost zero.…”

Section: Identification Of Magnetic Minerals In Topsoil Polluted By Technogenic Particles Emitted By the Ironworkmentioning

confidence: 91%

Integrated Magnetic Analyses for the Discrimination of Urban and Industrial Dusts

et al. 2020

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Industrial and urban dusts were characterized by investigating their magnetic properties. Topsoil composed of technogenic magnetic particles (TMP) originating from areas affected by three ironworks, street dust mainly composed of traffic-related pollution, and particulate matter (PM) from urban agglomeration in Warsaw, Poland were investigated. Several magnetic methods, namely magnetic susceptibility, thermomagnetic curves, hysteresis loops, decomposition of isothermal remanent magnetization acquisition curves, and first-order reversal curves, were performed to evaluate the magnetic fraction of dust. Magnetite was the main magnetic phase in all types of samples, with a small amount of high-coercive hematite within ironworks and street dust samples. Significant differences were observed in the domain structure (grain size) of industrial and traffic-related magnetic particles. The grain size of TMP obtained from steel production was in the range of 5–20 µm and was predominated by a mixture of single-domain (SD) and multidomain (MD) grains, with the prevalence of SD grains in the topsoil affected by Třinec ironwork. The traffic-related dust contained finer grains with a size of about 0.1 µm, which is characteristic of the pseudo-single-domain (PSD)/SD threshold. Street dusts were composed of a slightly higher proportion of MD grains, while PM also revealed the typical behavior of superparamagnetic particles.

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Detection of metallic iron in urban dust by using high-temperature measurements supplemented with microscopic observations and Mössbauer spectra

Cited by 18 publications

References 25 publications

Mineralogical and Chemical Specificity of Dusts Originating from Iron and Non-Ferrous Metallurgy in the Light of Their Magnetic Susceptibility

Mineralogical and Chemical Specificity of Dusts Originating from Iron and Non-Ferrous Metallurgy in the Light of Their Magnetic Susceptibility

Barking up the Right Tree: Using Tree Bark to Track Airborne Particles in School Environment and Link Science to Society

Integrated Magnetic Analyses for the Discrimination of Urban and Industrial Dusts

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