Screening-level exposure-based prioritization to identify potential POPs, vPvBs and planetary boundary threats among Arctic contaminants

Reppas-Chrysovitsinos, Efstathios; Sobek, Anna; MacLeod, Matthew

doi:10.1016/j.emcon.2017.06.001

Cited by 27 publications

(31 citation statements)

References 26 publications

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“…Several in-house libraries with mass spectra of reference standards, 13 C/ 2 H-labelled ISTDs, National Institute of Standards and Technology (NIST) NIST 2014 mass spectral library, Scientific Working Group for the Analysis of Seized Drugs (SWGdrug (Oulton, 2019)) mass spectral library, and a customised library with selected spectra from NIST 2014 for suspect screening were used for tentative identification of detected compounds. To create the customised library with selected spectra from NIST14, all mass spectra of compounds from NIST 14, which are listed on relevant suspect lists for the Arctic (Reppas-Chrysovitsinos et al, 2017;Brown and Wania, 2008;Coscollà et al, 2011;Hoferkamp et al, 2010;Howard and Muir, 2010;NORMAN-network, 2019;Vorkamp and Rigét, 2014;Zhong et al, 2012), were copied to an own library file for more efficient suspect screening. This customised library was useful to detect and flag potential suspects during data processing.…”

Section: Data Processing/ Post-acquisition Data Treatmentmentioning

confidence: 99%

“…As shown in Table 1, 39 of 56 compounds that were classified as L1 are listed in one or more suspect lists (Reppas-Chrysovitsinos et al, 2017;Brown and Wania, 2008;Coscollà et al, 2011;Hoferkamp et al, 2010;Howard and Muir, 2010;NORMAN-network, 2019;Vorkamp and Rigét, 2014;Zhong et al, 2012) or self-built suspect libraries. From L2 compounds, 17 compounds resemble compounds in one or more suspect lists.…”

Section: Number Of Detected and Classified Compounds In Arctic Airmentioning

confidence: 99%

“…Our t1/2(air) is based on default values retrieved from EPIsuite (U.S.EPA, 2019). Standardised estimates are commonly used for the estimation of LRATP (Muir and Howard, 2006;Howard and Muir, 2010;Brown and Wania, 2008;Reppas-Chrysovitsinos et al, 2017). These default half-lives are likely underestimated when adjusted to Arctic environmental conditions.…”

Section: Estimated Half-life's In Air Reflecting Arctic Environmentalmentioning

confidence: 99%

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Non-target and suspect characterisation of organic contaminants in Arctic air, Part II: Application of a new tool for identification and prioritisation of chemicals of emerging Arctic concern in air

Röhler¹,

Schlabach²,

Haglund³

et al. 2020

Preprint

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<p><strong>Abstract.</strong> The Norwegian Arctic possess a unique environment for the detection of new potential chemicals of emerging Arctic concern (CEACs) due to remoteness, sparsely populated and the low number of local contamination sources. Hence, a contaminant present in Arctic air is still considered a priority indication for its environmental stability and environmental mobility. Today, legacy persistent organic pollutants (POPs) and related conventional environmental pollutants are already well-studied since their identification as Arctic pollutants in the 1980s. Many of them are implemented and reported in various national and international monitoring activities including the Arctic Monitoring and Assessment Program (AMAP). These standard monitoring schemes, however, are based on compound specific quantitative analytical methods. Under such conditions, the possibility for identification of hitherto unidentified contaminants is limited and randomly, at the best. Today, new and advanced technological developments allow a broader, unspecific analytical approach as either targeted multi-component analysis or suspect and non-target screening strategies. In order to facilitate such a wide range of compounds, a wide-scope sample clean-up method for high-volume air samples, based on a combination of adsorbents was applied, followed by comprehensive two-dimensional gas chromatography separation and low-resolution time-of-flight mass spectrometric detection (GC&#215;GC-LRMS). During the here reported study, simultaneous non-target and suspect screening were applied. The detection of over 700 compounds of interest in the particle phase and over 1200 compounds in the gaseous phase is reported. Of those, 62 compounds were confirmed with reference standards and 90 compounds with a probable structure (based upon mass spectrometric interpretation and library spectrum comparison). These included compounds already detected in Arctic matrices and compounds not detected previously (see also Figure 1). In addition, 241 compounds were assigned tentative structure or compound class. Hitherto unknown halogenated compounds, which are not listed in the used mass spectral libraries, were also detected and partly identified.</p>

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Section: Data Processing/ Post-acquisition Data Treatmentmentioning

confidence: 99%

Section: Number Of Detected and Classified Compounds In Arctic Airmentioning

confidence: 99%

Section: Estimated Half-life's In Air Reflecting Arctic Environmentalmentioning

confidence: 99%

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Non-target and suspect characterisation of organic contaminants in Arctic air, Part II: Application of a new tool for identification and prioritisation of chemicals of emerging Arctic concern in air

Röhler¹,

Schlabach²,

Haglund³

et al. 2020

Preprint

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“…6,7 A recent exposure-based prioritization study indicated MX is a highly waterborne persistent contaminant that may pose potential planetary boundary threats. 8 MX has been banned in the European Union and Japan as it has been identied as very persistent and bioaccumulative chemical. 9, 10 It is prohibited for use as fragrance by the International Fragrance Association (IFRA), a self-regulatory representative body of the worldwide fragrance industry.…”

Section: Introductionmentioning

confidence: 99%

Urban sources of synthetic musk compounds to the environment

Wong

Robson

Melymuk

et al. 2019

Environ. Sci.: Processes Impacts

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“…These include metrics of persistence and long-range transport potential that reect a chemical's tendency to be widely distributed, to form long-lived reservoirs in the environment, and to lead to the formation of persistent transformation products. 5,[48][49][50][51][52][53][54][55][56][57][58] Models have also been applied to map the remoteness of locations in the global environment from sources of chemical pollution, 59,60 see Fig. 1.…”

Section: Emission Datamentioning

confidence: 99%

Environmental fate and exposure models: advances and challenges in 21^st century chemical risk assessment

Guardo

Gouin

MacLeod

et al. 2018

Environ. Sci.: Processes Impacts

Self Cite

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Environmental fate and exposure models are a powerful means to integrate information on chemicals, their partitioning and degradation behaviour, the environmental scenario and the emissions in order to compile a picture of chemical distribution and fluxes in the multimedia environment. A 1995 pioneering book, resulting from a series of workshops among model developers and users, reported the main advantages and identified needs for research in the field of multimedia fate models. Considerable efforts were devoted to their improvement in the past 25 years and many aspects were refined; notably the inclusion of nanomaterials among the modelled substances, the development of models at different spatial and temporal scales, the estimation of chemical properties and emission data, the incorporation of additional environmental media and processes, the integration of sensitivity and uncertainty analysis in the simulations. However, some challenging issues remain and require research efforts and attention: the need of methods to estimate partition coefficients for polar and ionizable chemical in the environment, a better description of bioavailability in different environments as well as the requirement of injecting more ecological realism in exposure predictions to account for the diversity of ecosystem structures and functions in risk assessment. Finally, to transfer new scientific developments into the realm of regulatory risk assessment, we propose the formation of expert groups that compare, discuss and recommend model modifications and updates and help develop practical tools for risk assessment.

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Screening-level exposure-based prioritization to identify potential POPs, vPvBs and planetary boundary threats among Arctic contaminants

Cited by 27 publications

References 26 publications

Non-target and suspect characterisation of organic contaminants in Arctic air, Part II: Application of a new tool for identification and prioritisation of chemicals of emerging Arctic concern in air

Non-target and suspect characterisation of organic contaminants in Arctic air, Part II: Application of a new tool for identification and prioritisation of chemicals of emerging Arctic concern in air

Urban sources of synthetic musk compounds to the environment

Environmental fate and exposure models: advances and challenges in 21^st century chemical risk assessment

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Screening-level exposure-based prioritization to identify potential POPs, vPvBs and planetary boundary threats among Arctic contaminants

Cited by 27 publications

References 26 publications

Non-target and suspect characterisation of organic contaminants in Arctic air, Part II: Application of a new tool for identification and prioritisation of chemicals of emerging Arctic concern in air

Non-target and suspect characterisation of organic contaminants in Arctic air, Part II: Application of a new tool for identification and prioritisation of chemicals of emerging Arctic concern in air

Urban sources of synthetic musk compounds to the environment

Environmental fate and exposure models: advances and challenges in 21st century chemical risk assessment

Contact Info

Product

Resources

About

Environmental fate and exposure models: advances and challenges in 21^st century chemical risk assessment