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Multi-residue quantification and screening of emerging organic micropollutants in the Belgian Part of the North Sea by use of Speedisk extraction and Q-Orbitrap HRMS

(2019) MARINE POLLUTION BULLETIN. 142. p.350-360
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Abstract
Knowledge about the occurrence of emerging organic micropollutants in the marine environment is still very limited, especially when focusing on the Belgian Part of the North Sea (BPNS). This study therefore optimized and validated a Speedisk® based SPE and LC-Q-Orbitrap HRMS method to tackle the challenge of measuring the expected ultra-trace concentrations in seawater. This method was applied to 18 samples collected at different locations in the open sea and harbor of the BPNS. Forty-eight compounds, among which several pharmaceuticals, personal care products or pesticides described in the EU Watchlist, were detected – some for the first time in seawater – at concentrations ranging up to 156 ng L−1. Moreover, the untargeted screening potential of the newly developed HRMS method was highlighted by revealing the presence of up to 1300 unknown components in a single sample and by assigning molecular formulae to those components demonstrating high discriminative potential between samples.
Keywords
Aquatic Science, Pollution, Oceanography

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Chicago
Vanryckeghem, Francis, Steve Huysman, Herman Van Langenhove, Lynn Vanhaecke, and Kristof Demeestere. 2019. “Multi-residue Quantification and Screening of Emerging Organic Micropollutants in the Belgian Part of the North Sea by Use of Speedisk Extraction and Q-Orbitrap HRMS.” Marine Pollution Bulletin 142: 350–360.
APA
Vanryckeghem, F., Huysman, S., Van Langenhove, H., Vanhaecke, L., & Demeestere, K. (2019). Multi-residue quantification and screening of emerging organic micropollutants in the Belgian Part of the North Sea by use of Speedisk extraction and Q-Orbitrap HRMS. MARINE POLLUTION BULLETIN, 142, 350–360.
Vancouver
1.
Vanryckeghem F, Huysman S, Van Langenhove H, Vanhaecke L, Demeestere K. Multi-residue quantification and screening of emerging organic micropollutants in the Belgian Part of the North Sea by use of Speedisk extraction and Q-Orbitrap HRMS. MARINE POLLUTION BULLETIN. 2019;142:350–60.
MLA
Vanryckeghem, Francis et al. “Multi-residue Quantification and Screening of Emerging Organic Micropollutants in the Belgian Part of the North Sea by Use of Speedisk Extraction and Q-Orbitrap HRMS.” MARINE POLLUTION BULLETIN 142 (2019): 350–360. Print.
@article{8617642,
  abstract     = {Knowledge about the occurrence of emerging organic micropollutants in the marine environment is still very limited, especially when focusing on the Belgian Part of the North Sea (BPNS). This study therefore optimized and validated a Speedisk® based SPE and LC-Q-Orbitrap HRMS method to tackle the challenge of measuring the expected ultra-trace concentrations in seawater. This method was applied to 18 samples collected at different locations in the open sea and harbor of the BPNS. Forty-eight compounds, among which several pharmaceuticals, personal care products or pesticides described in the EU Watchlist, were detected – some for the first time in seawater – at concentrations ranging up to 156 ng L−1. Moreover, the untargeted screening potential of the newly developed HRMS method was highlighted by revealing the presence of up to 1300 unknown components in a single sample and by assigning molecular formulae to those components demonstrating high discriminative potential between samples.},
  author       = {Vanryckeghem, Francis and Huysman, Steve and Van Langenhove, Herman and Vanhaecke, Lynn and Demeestere, Kristof},
  issn         = {0025-326X},
  journal      = {MARINE POLLUTION BULLETIN},
  keywords     = {Aquatic Science,Pollution,Oceanography},
  language     = {eng},
  pages        = {350--360},
  title        = {Multi-residue quantification and screening of emerging organic micropollutants in the Belgian Part of the North Sea by use of Speedisk extraction and Q-Orbitrap HRMS},
  url          = {http://dx.doi.org/10.1016/j.marpolbul.2019.03.049},
  volume       = {142},
  year         = {2019},
}

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