Ny-Ålesund-oriented organic pollutants in sewage effluent and receiving seawater in the Arctic region of Kongsfjorden

Choi, Young-Hun; Kim, Kitae; Kim, Deokwon; Moon, Hyo‐Bang; Jeon, Junho

doi:10.1016/j.envpol.2019.113792

Cited by 40 publications

(19 citation statements)

References 35 publications

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“…58 Choi et al investigated organic pollutants in wastewater originating from Ny-Ålesund in the Arctic region and surrounding seawater and identified the wastewater effluent as a major source of the target organic pollutants, including OPEs. 59 Gao et al intensively analyzed potential local sources of OPEs in surface water and sediment from Ny-Ålesund (Svalbard, the Arctic) and the Fildes Peninsula (Antarctica) and observed that human activities and animal activities are S3.…”

Section: Local Emission Sources Of Opesmentioning

confidence: 99%

“…Choi et al recently reported that effluent emitted from Ny-Ålesund is a major source of OPEs in the seawater of Kongsfjorden. 59 Therefore, the marine water of Kongsfjorden may be influenced by potential local sources of OPEs in Ny-Ålesund. To date, in remote regions, the highest level of OPEs in surface water has been found in the North Atlantic, with ∑OPEs in the range of 74,000− 1,341,100 pg/L (mean, 459,257 pg/L).…”

Section: Occurrence and Environmental Behavior Of Opesmentioning

confidence: 99%

“…The wastewater effluent emitted from Ny-Ålesund was recently identified as a major source of OPEs in the seawater of Kongsfjorden. 59 Moreover, scientific research stations, airports, and harbors in Ny-Ålesund are also considered localized sources of OPEs. 33,58 Therefore, those local OPE sources may be related to the relatively high level of OPEs in the Atlantic cod of Kongsfjorden.…”

Section: Occurrence and Trophic Transfer Of Opes In Biotamentioning

confidence: 99%

“…Using samples of the effluent from Ny-Ålesund, Choi et al recently investigated the risk prioritization of 47 compounds (including OPEs, pesticides, and perfluorinated compounds) by considering both toxicity and exposure indexes (such as the half maximal effective concentration (EC50), log K OW , maximum concentration, and detection frequency) and found that the top risk score was obtained for TPhP. 59 The high risk prioritization of TPhP suggests the urgent need for risk assessments of OPEs in remote areas. We assessed the risk quotient (RQ) of OPEs from the ratio of the measured environmental concentration (MEC) in previous studies to the predicted no effect concentration (PNEC).…”

Section: The Predominant Role and Potential Risk Of Opes In Remote Ec...mentioning

confidence: 99%

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Long-Range Transport, Trophic Transfer, and Ecological Risks of Organophosphate Esters in Remote Areas

Chen

et al. 2021

Environ. Sci. Technol.

114

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Organophosphate esters (OPEs) have been a focus in the field of environmental science due to their large volume production, wide range of applications, ubiquitous occurrence, potential bioaccumulation, and worrisome ecological and health risks. Varied physicochemical properties among OPE analogues represent an outstanding scientific challenge in studying the environmental fate of OPEs in recent years. There is an increasing number of studies focusing on the long-range transport, trophic transfer, and ecological risks of OPEs. Therefore, it is necessary to conclude the OPE pollution status on a global scale, especially in the remote areas with vulnerable and fragile ecosystems. The present review links together the source, fate, and environmental behavior of OPEs in remote areas, integrates the occurrence and profile data, summarizes their bioaccumulation, trophic transfer, and ecological risks, and finally points out the predominant pollution burden of OPEs among organic pollutants in remote areas. Given the relatively high contamination level and bioaccumulation/biomagnification behavior of OPEs, in combination with the sensitivity of endemic species in remote areas, more attention should be paid to the potential ecological risks of OPEs.

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Section: Local Emission Sources Of Opesmentioning

confidence: 99%

Section: Occurrence and Environmental Behavior Of Opesmentioning

confidence: 99%

Section: Occurrence and Trophic Transfer Of Opes In Biotamentioning

confidence: 99%

Section: The Predominant Role and Potential Risk Of Opes In Remote Ec...mentioning

confidence: 99%

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Long-Range Transport, Trophic Transfer, and Ecological Risks of Organophosphate Esters in Remote Areas

Chen

et al. 2021

Environ. Sci. Technol.

114

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“…Some research simply uses MetFrag purely for its in silico fragmentation capabilities, i.e. not paired with any compound database [9,40,49]. Many examples use only the Frag-menterScore to rank candidates retrieved from Chem-Spider alone [3,31,35], PubChem alone [29,61,64], or a combination of either or both with other databases [8,25,45,47] like KEGG [22], FOR-IDENT [30] and MassBank [36].…”

Section: Introductionmentioning

confidence: 99%

Retrospective non-target analysis to support regulatory water monitoring: from masses of interest to recommendations via in silico workflows

Lai

Singh

Kovalova³

et al. 2021

Environ Sci Eur

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Background Applying non-target analysis (NTA) in regulatory environmental monitoring remains challenging—instead of having exploratory questions, regulators usually already have specific questions related to environmental protection aims. Additionally, data analysis can seem overwhelming because of the large data volumes and many steps required. This work aimed to establish an open in silico workflow to identify environmental chemical unknowns via retrospective NTA within the scope of a pre-existing Swiss environmental monitoring campaign focusing on industrial chemicals. The research question addressed immediate regulatory priorities: identify pollutants with industrial point sources occurring at the highest intensities over two time points. Samples from 22 wastewater treatment plants obtained in 2018 and measured using liquid chromatography–high resolution mass spectrometry were retrospectively analysed by (i) performing peak-picking to identify masses of interest; (ii) prescreening and quality-controlling spectra, and (iii) tentatively identifying priority “known unknown” pollutants by leveraging environmentally relevant chemical information provided by Swiss, Swedish, EU-wide, and American regulators. This regulator-supplied information was incorporated into MetFrag, an in silico identification tool replete with “post-relaunch” features used here. This study’s unique regulatory context posed challenges in data quality and volume that were directly addressed with the prescreening, quality control, and identification workflow developed. Results One confirmed and 21 tentative identifications were achieved, suggesting the presence of compounds as diverse as manufacturing reagents, adhesives, pesticides, and pharmaceuticals in the samples. More importantly, an in-depth interpretation of the results in the context of environmental regulation and actionable next steps are discussed. The prescreening and quality control workflow is openly accessible within the R package Shinyscreen, and adaptable to any (retrospective) analysis requiring automated quality control of mass spectra and non-target identification, with potential applications in environmental and metabolomics analyses. Conclusions NTA in regulatory monitoring is critical for environmental protection, but bottlenecks in data analysis and results interpretation remain. The prescreening and quality control workflow, and interpretation work performed here are crucial steps towards scaling up NTA for environmental monitoring.

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Priority Organic Pollutants and Endocrine‐Disrupting Compounds in Arctic Marine Sediments (Svalbard Islands, Norway)

Spataro

Rauseo

Pescatore

et al. 2022

Enviro Toxic and Chemistry

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The present study investigated the occurrence and distribution of polycyclic aromatic hydrocarbons (PAHs) and phenolic endocrine-disrupting compounds (PEDCs), including bisphenol A (BPA), 4-nonylphenol (4-NP), and its monoethoxylate (NP1EO) and diethoxylate precursors in marine sediments in an Arctic fjord (Svalbard, Norway). The contribution of different local sources of contamination was also evaluated, together with a risk assessment for the marine environment. Samples were collected during two consecutive summer seasons (2018 and 2019), and target contaminants were analyzed with gas chromatography-mass spectrometry (MS) and high-performance liquid chromatography-MS/MS. The results showed no statistical differences between total PAH concentrations measured in 2018 (mean value 53.7 ± 54.3 ng/g) and 2019 (mean value 58.1 ± 63.6 ng/g). Low-ring (three or four rings) PAHs were the most abundant congeners, and single PAH ratios indicated a predominance of petrogenic sources (i.e., coal and liquid fossil fuel combustion). Nonylphenols and BPA showed a significant decrease in 2019 compared to 2018; 4-NP and NP1EO prevailed in both years, particularly in sediments close to the Ny-Ålesund research village. Overall, the results indicate that local anthropic activities are the major source of contamination in the Kongsfjorden ecosystem, but also melting waters from glaciers in the summer season can play an important role as a secondary source of pollutants previously trapped in ice. Comparison between our data and empirical and mechanistic indices derived from sediment quality guidelines suggests that the occurrence of PAHs and PEDCs in sediments does not currently pose a risk for this Arctic ecosystem, but further investigation is needed on the spread of hazardous contaminants and their effects on these fragile environments.

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Ny-Ålesund-oriented organic pollutants in sewage effluent and receiving seawater in the Arctic region of Kongsfjorden

Cited by 40 publications

References 35 publications

Long-Range Transport, Trophic Transfer, and Ecological Risks of Organophosphate Esters in Remote Areas

Long-Range Transport, Trophic Transfer, and Ecological Risks of Organophosphate Esters in Remote Areas

Retrospective non-target analysis to support regulatory water monitoring: from masses of interest to recommendations via in silico workflows

Priority Organic Pollutants and Endocrine‐Disrupting Compounds in Arctic Marine Sediments (Svalbard Islands, Norway)

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