Characterisation of Road Dust Organic Matter as a Function of Particle Size: A PARAFAC Approach

Aryal, Rupak; Lee, Byeong–Kyu; Beecham, Simon; Kandasamy, Jaya; Aryal, Nanda R.; Parajuli, Keshab

doi:10.1007/s11270-014-2289-y

Cited by 30 publications

(26 citation statements)

References 56 publications

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“…Humic-like substances have distinct EEM spectra with fluorescence maxima around longer emission wavelengths compared with what we observed in this study. It was notable that the major fluorescent components extracted from the ultra-fine particulate matter we analyzed were close to low molecular weight organic matter originated from anthropogenic activity 34 . Figure 4 shows the distributions of the percent scores corresponding to the PARAFAC components C1 and C2 obtained from the RPM 2.5 (50% cut-off point of 2.5 µm in terms of aerodynamic diameter), RPM 1 , RPM 0.5 and RPM 0.25 samples, and the pairs of %C1 and %C2 were clustered with respect to the 6 key air pollutants (CO, NH 3 , NO x , SO x , VOC, and PM 2.5 ).…”

Section: Site Classification Based On the Concentrations Of Organic Cmentioning

confidence: 78%

“…The fluorescence EEMs for C1, C2, and C3 ( Figure S6) revealed that the major components of the water-extractable organic matter in the urban road dust samples were saturated carbon species, such as aliphatic compounds or amino acids. Aryal et al 34 has reported that the major EEM components of water-extractable urban road dust were shown to be humic-like substances. Humic-like substances have distinct EEM spectra with fluorescence maxima around longer emission wavelengths compared with what we observed in this study.…”

Section: Site Classification Based On the Concentrations Of Organic Cmentioning

confidence: 99%

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Utilization of road dust chemical profiles for source identification and human health impact assessment

Kim

Koh

2020

Sci Rep

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This study investigated the chemical profiles of fine urban road dust as a set of indicators for major air pollutants at sampling sites or as proxies for potential human health impacts. We examined the chemical compositions of fine particles (< 100 μm) or re-suspended ultrafine particles (< 2.5 μm) in the urban road dust collected from the cities with major emission sources of CO, NH 3 , NO x , PM 2.5 , SO x , and volatile organic compounds. The elemental compositions, including metal contents and volatile or semi-volatile organic compound species were determined to constitute comprehensive chemical profiles of the solid road dust samples. The water-extractable organic compounds and fluorescent species of the size-fractionated re-suspended fine particulate matter (RPM) were also incorporated in the chemical profiles. The metal content and aliphatic hydrocarbons could partly distinguish emission sources, and clearer distinctions were achieved with the inclusion of fluorescence excitationemission matrix (EEM) results. The dose-response test results showed positive correlations between cytotoxicity and relative abundance of hydrocarbons or metal contents of urban road dust. The set of chemical profiles suggested in this study could be further utilized for site identification or human health impact assessment using urban road dust. Chemical profiles of urban road dust can be utilized not only for assessing health risks but also for identifying the sources of the dust which accumulates chemical ingredients originated from the local environment in close vicinity. The air pollutants may influence the chemical compositions of dust in multiple ways. Both adsorption of air pollutant to fine dust particles and absorption of ambient particulate matter such as PM 10 to road dust could contribute to partitioning 1 of air pollutants to road dust. Deposition of ambient particulate matter on road dust could be another pathway that air pollutants influence the chemical compositions of road dust. Wang et al. 2 investigated factors associated with adsorption of polycyclic aromatic hydrocarbons on road dust. Absorption or deposition of aggregated PM 10 on road dust may also add air pollutants to road dust particles because a great portion of PM 10 results from main gaseous precursors 3,4 , such as CO, SO x , NO x , NH 3 , and VOCs in the atmosphere. These series of findings support the hypothesis of this study that fine road dust can store information about the major emission sources in vicinity. The fact that chemical composition of road dust is related to a footprint of the local chemical environment forms the basis of environmental soil forensics 5. The large surface areas of the fine particle fractions in urban road dust could store rich information about the surrounding chemical environment. The elemental composition 6-8 of urban road dust contains information about its origin, such as the earth's crust (Mg, Al, Si, Ca, and Fe) 9. Trace elemental analysis of fine road dust particles could reveal anthropogenic sources, such as tr...

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Section: Site Classification Based On the Concentrations Of Organic Cmentioning

confidence: 78%

Section: Site Classification Based On the Concentrations Of Organic Cmentioning

confidence: 99%

Utilization of road dust chemical profiles for source identification and human health impact assessment

Kim

Koh

2020

Sci Rep

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“…In addition, detergents and leaf litter can be mobilized as surfaces are rewetted during storm conditions and rapid leaching of proteins and carbohydrates can occur . Mobilization of dust from impervious surfaces also provides a source of PAH and low molecular weight OM . In contrast, rising water tables can lead to groundwater exfiltration into the drainage and sewerage network thereby diluting labile DOM .…”

Section: Urban River Biogeochemical Processesmentioning

confidence: 99%

Understanding dissolved organic matter dynamics in urban catchments: insights from in situ fluorescence sensor technology

2017

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Dissolved organic matter (DOM) is critically important for catchment biogeochemical cycling, yet the DOM dynamics of many river systems remain poorly characterized. Recently, DOM mobilization and transport in forested and agricultural catchments have received increased attention; however, for urban catchments, our understanding of spatio‐temporal variability in DOM concentration and composition is very limited. This is a particular concern as urbanization can increase and alter labile DOM fluxes leading to a shift from downstream transport of stream carbon to increased microbial production and respiration of stream carbon in headwaters. Furthermore, the anthropogenic modification of the water cycle and the flashy hydrology of urban rivers have constrained attempts to characterize intra‐ and inter‐seasonal variability in DOM across the spectrum from low to storm flows. In this focus article, we synthesize the contemporary literature on urban DOM sources, flow paths, and spatio‐temporal variability and present a conceptual model to unravel system dynamics and inform future monitoring efforts. The potential of field deployable fluorescence sensor technology to overcome monitoring challenges in urban rivers is highlighted. We use a case study of a relatively well‐studied UK urban river to illustrate the potential of in situ fluorescence to reveal DOM dynamics in a system with marked inter‐event variability in DOM sources and pathways. Finally, we outline future directions for this research, particular the need to standardize field and laboratory protocols and advance new sensor development. WIREs Water 2018, 5:e1259. doi: 10.1002/wat2.1259 This article is categorized under: Science of Water > Methods Science of Water > Water Quality

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“…This technique is highly sensitive and can be used to characterize organic matter in water sources through three-dimensional spectra called excitation-emission matrices (EEM) [9]. There are several methods to interpret complex EEM data, such as parallel factor analysis (PARAFAC) in which the data is mathematically decomposed into chemically independent components determining both qualitative and quantitative analysis [10,11] and fluorescence regional integration (FRI), where EEM data is divided into a number of regions, each representing a group of substances of similar characteristics [12].…”

Section: Introductionmentioning

confidence: 99%

Fluorescence Excitation-Emission Spectroscopy: An Analytical Technique to Monitor Drugs of Addiction in Wastewater

Yadav

Aryal

Short

et al. 2019

Water

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Emerging contaminants of concern have become a serious issue for the scientific community and society more broadly in recent years due to their increasingly widespread environmental distribution and largely unknown environmental and human health impacts. This study aimed to explore the use of fluorescence excitation-emission (F-EEM) spectroscopy as an alternative analytical method to evaluate the presence of key drugs of addiction (benzoylecgonine, methamphetamine, MDMA, codeine and morphine) in wastewater treatment plants. The chemicals of interest from wastewater were extracted by mixed-mode solid phase extraction and quantified using liquid chromatography tandem mass spectrometry. The same wastewater samples were also analysed by a fluorescence spectrophotometer for fluorescence spectra at wavelengths 280–600 nm (emission) and 200–600 nm (excitation). The study also investigated the relevance of different methods for interpreting F-EEM matrices data including parallel factor analysis (PARAFAC) modelling and fluorescence regional integration technique. PARAFAC identified four components, and among them, component C2, identified at the λex/λem = 275/340 nm wavelength associated with proteinaceous compounds most likely related to tryptophan amino acid, showed significant correlation with codeine removal. MDMA and morphine were not correlated to any of the fluorescence regions. The fluorescence regions related to aromatic protein-like fluorescence were correlated significantly with drug concentration and so may offer a suitable alternative approach for monitoring drugs including benzoylecgonine, methamphetamine and codeine.

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Characterisation of Road Dust Organic Matter as a Function of Particle Size: A PARAFAC Approach

Cited by 30 publications

References 56 publications

Utilization of road dust chemical profiles for source identification and human health impact assessment

Utilization of road dust chemical profiles for source identification and human health impact assessment

Understanding dissolved organic matter dynamics in urban catchments: insights from in situ fluorescence sensor technology

Fluorescence Excitation-Emission Spectroscopy: An Analytical Technique to Monitor Drugs of Addiction in Wastewater

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