An economic passive sampling method to detect particulate pollutants using magnetic measurements

Lanzhu, Cao; Appel, Erwin; Shouyun, HU; Ma, Miling

doi:10.1016/j.envpol.2015.05.019

Cited by 21 publications

(11 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, circular fallout collectors covered with plastic sheets were exposed for about 3–4 weeks in Munich (Germany) and subsequently washed with isopropyl alcohol and analyzed by Mössbauer spectroscopy and magnetic techniques, yielded primarily maghemite and metallic iron particles with mean magnetic grain sizes in the range 0.1–0.7 μm . Another study using small filter bags with natural wool sorbents collected mainly 2–25 μm-sized particles and yielded consistent magnetic susceptibility and coercivity results, when compared to colocated leaf samples …”

Section: Health Effects Of Magnetic Particlesmentioning

confidence: 99%

See 1 more Smart Citation

Biomagnetic Monitoring of Atmospheric Pollution: A Review of Magnetic Signatures from Biological Sensors

Hofman

Maher

Muxworthy

et al. 2017

Environ. Sci. Technol.

View full text Add to dashboard Cite

Biomagnetic monitoring of atmospheric pollution is a growing application in the field of environmental magnetism. Particulate matter (PM) in atmospheric pollution contains readily measurable concentrations of magnetic minerals. Biological surfaces, exposed to atmospheric pollution, accumulate magnetic particles over time, providing a record of location-specific, time-integrated air quality information. This review summarizes current knowledge of biological material ("sensors") used for biomagnetic monitoring purposes. Our work addresses the following: the range of magnetic properties reported for lichens, mosses, leaves, bark, trunk wood, insects, crustaceans, mammal and human tissues; their associations with atmospheric pollutant species (PM, NO, trace elements, PAHs); the pros and cons of biomagnetic monitoring of atmospheric pollution; current challenges for large-scale implementation of biomagnetic monitoring; and future perspectives. A summary table is presented, with the aim of aiding researchers and policy makers in selecting the most suitable biological sensor for their intended biomagnetic monitoring purpose.

show abstract

Section: Health Effects Of Magnetic Particlesmentioning

confidence: 99%

“…Needle-deposited fly ash, from power plants, has shown to result in enhanced magnetic susceptibility of the needle samples . When compared with artificial PM collectors in an industrial area in Linfen, China, colocated tree leaves showed similar magnetic properties …”

Section: Application As Biological Sensorsmentioning

confidence: 99%

Biomagnetic Monitoring of Atmospheric Pollution: A Review of Magnetic Signatures from Biological Sensors

Hofman

Maher

Muxworthy

et al. 2017

Environ. Sci. Technol.

View full text Add to dashboard Cite

show abstract

“…Due to the main advantage of continuous accumulation of sufficient dust for quantitative analysis, it was decided to use artificial passive samplers for the study. Although wide range of PM sampling methods is available worldwide, including biotic accumulators, e.g., lichens, moss, barks, leaves [1,14,[53][54][55], and abiotic passive methods, i.e., (i) sampling of dust deposited on snow cover [15,48,[56][57][58], (ii) sampling of road dust from pavement using a brush and a scoop [42,43,[59][60][61][62][63][64][65], the main advantages of artificial passive samplers are: they are cost friendly, have a known deposition period, measurement of deposition flux, and have the possibility to provide important indicators for local pollution sources [2,[65][66][67][68][69][70][71].…”

Section: Reasons Of Artificial Passive Samplers Selectionmentioning

confidence: 99%

Geochemistry of the Dust Collected by Passive Samplers as a Tool for Search of Pollution Sources: The Case of Klaipėda Port, Lithuania

et al. 2021

View full text Add to dashboard Cite

Geochemical investigations of total suspended particulates (TSP) help detect hotspots and emission sources in port cities with stevedoring operations. The aim was to reveal these sources via geochemical indices (gI). TSP were collected in Klaipėda using original passive samplers in ten sites during four periods, during one of them, in ten additional sites near iron ore stevedoring (IOS). The contents of 22 elements (PHEs, crustal, Br, Cl) were determined by EDXRF in TSP and characteristic dust (CD) of stevedored iron ore, apatite, phosphorite, potassium fertilizers, and in waste incineration ash. Median Fe content in TSP near IOS was ~29%. The significant anthropogenic origin of clusters Fe–Cr, Sr–P, V–Ni–Zn–Cu, Pb–As, and Mg–Ca, Br–S–Cl was confirmed by gI mapping and analysis of CD. Significant temporal variability of Cl, S, Sr, Ni, Br, V, and Zn due to weather changes was revealed. Near IOS, significantly higher values of gI were found for Fe and Cr, while far from IOS, for K, Sr, Ti, Rb, Cu, Al, Si, Zr, Ca, Mg. Significantly higher values of normalized enrichment factor near IOS were not only for Fe and Cr, but also for As, Pb, S, Mn, Br, and Cl.

show abstract

“…The second type of accumulating surface used for mapping was quantitative paper filters of 2-3 µm particle retention. To prevent mechanical weathering by insects or water saturation by rainfall that could have the effect of reducing their filtering surface, they have been inserted inside the mounting design proposed by Cao et al [30]. The assembly is composed of a plastic electrical box of a circular section of 50.6 cm 2 in which filters were placed between two layers of washed natural wool to absorb excess moisture.…”

Section: Samplingmentioning

confidence: 99%

Biomagnetic Monitoring vs. CFD Modeling: A Real Case Study of Near-Source Depositions of Traffic-Related Particulate Matter along a Motorway

et al. 2020

View full text Add to dashboard Cite

A test site located along a 12-lane motorway east of Montpellier, France, is used to evaluate the potential of biomagnetic monitoring on traffic-related particulate matter (PM) to parametrize a computational fluid dynamics (CFD) simulation of the local airflow. Two configurations were established on the site with three vegetated flat-top earth berms of a basic design, and a fourth one was located windward to the traffic roofed with a 4-m-high precast concrete wall. As a first step, PM deposition simultaneously on plant leaves, on low-cost passive artificial filters, and on soils was estimated from proxies supplied by magnetic and X-ray fluorescence measurements on both sides of the motorway. These latter revealed that traffic-related pollutants are present on soils samples highlighted with a clear fingerprint of combustion residues, and wears of breaks, vehicles, and highway equipment. Maximum PM accumulations were detected in the lee of the berm–wall combination, while no significant deposition was observed on both sides of the flat-top earth berms. These results are in line with measurements from PM µ-sensors operated by the regional state-approved air quality agency. Finally, we compared the experimental measurements with the outcomes of a computational fluid dynamics (CFD) modeling based on the Reynolds-Averaged Navier–Stokes (RANS) equations that consider the traffic-induced momentum and turbulence. The CFD modeling matches the experimental results by predicting a recirculated flow in the near wake of the berm–wall combination that enhances the PM concentration, whereas the flat-top berm geometry does not alter the pollutants’ transport and indeed contributes to their atmospheric dispersion.

show abstract

An economic passive sampling method to detect particulate pollutants using magnetic measurements

Cited by 21 publications

References 31 publications

Biomagnetic Monitoring of Atmospheric Pollution: A Review of Magnetic Signatures from Biological Sensors

Biomagnetic Monitoring of Atmospheric Pollution: A Review of Magnetic Signatures from Biological Sensors

Geochemistry of the Dust Collected by Passive Samplers as a Tool for Search of Pollution Sources: The Case of Klaipėda Port, Lithuania

Biomagnetic Monitoring vs. CFD Modeling: A Real Case Study of Near-Source Depositions of Traffic-Related Particulate Matter along a Motorway

Contact Info

Product

Resources

About