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5 results on '"Macherius A"'

2. What is in the fish? Collaborative trial in suspect and non-target screening of organic micropollutants using LC- and GC-HRMS

Author

Dürig, Wiebke, primary, Lindblad, Sofia, additional, Golovko, Oksana, additional, Gkotsis, Georgios, additional, Aalizadeh, Reza, additional, Nika, Maria-Christina, additional, Thomaidis, Nikolaos, additional, Alygizakis, Nikiforos A., additional, Plassmann, Merle, additional, Haglund, Peter, additional, Fu, Qiuguo, additional, Hollender, Juliane, additional, Chaker, Jade, additional, David, Arthur, additional, Kunkel, Uwe, additional, Macherius, André, additional, Belova, Lidia, additional, Poma, Giulia, additional, Preud'Homme, Hugues, additional, Munschy, Catherine, additional, Aminot, Yann, additional, Jaeger, Carsten, additional, Lisec, Jan, additional, Hansen, Martin, additional, Vorkamp, Katrin, additional, Zhu, Linyan, additional, Cappelli, Francesca, additional, Roscioli, Claudio, additional, Valsecchi, Sara, additional, Bagnati, Renzo, additional, González, Belén, additional, Prieto, Ailette, additional, Zuloaga, Olatz, additional, Gil-Solsona, Ruben, additional, Gago-Ferrero, Pablo, additional, Rodriguez-Mozaz, Sara, additional, Budzinski, Hélène, additional, Devier, Marie-Helene, additional, Dierkes, Georg, additional, Boulard, Lise, additional, Jacobs, Griet, additional, Voorspoels, Stefan, additional, Rüdel, Heinz, additional, and Ahrens, Lutz, additional

Published
2023
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3. What is in the fish? Collaborative trial in suspect and non-target screening of organic micropollutants using LC- and GC-HRMS

Author

Dürig, Wiebke, Lindblad, Sofia, Golovko, Oksana, Gkotsis, Georgios, Aalizadeh, Reza, Nika, Maria-christina, Thomaidis, Nikolaos, Alygizakis, Nikiforos A., Plassmann, Merle, Haglund, Peter, Fu, Qiuguo, Hollender, Juliane, Chaker, Jade, David, Arthur, Kunkel, Uwe, Macherius, André, Belova, Lidia, Poma, Giulia, Preud'Homme, Hugues, Munschy, Catherine, Aminot, Yann, Jaeger, Carsten, Lisec, Jan, Hansen, Martin, Vorkamp, Katrin, Zhu, Linyan, Cappelli, Francesca, Roscioli, Claudio, Valsecchi, Sara, Bagnati, Renzo, González, Belén, Prieto, Ailette, Zuloaga, Olatz, Gil-solsona, Ruben, Gago-ferrero, Pablo, Rodriguez-mozaz, Sara, Budzinski, Hélène, Devier, Marie-helene, Dierkes, Georg, Boulard, Lise, Jacobs, Griet, Voorspoels, Stefan, Rüdel, Heinz, Ahrens, Lutz, Dürig, Wiebke, Lindblad, Sofia, Golovko, Oksana, Gkotsis, Georgios, Aalizadeh, Reza, Nika, Maria-christina, Thomaidis, Nikolaos, Alygizakis, Nikiforos A., Plassmann, Merle, Haglund, Peter, Fu, Qiuguo, Hollender, Juliane, Chaker, Jade, David, Arthur, Kunkel, Uwe, Macherius, André, Belova, Lidia, Poma, Giulia, Preud'Homme, Hugues, Munschy, Catherine, Aminot, Yann, Jaeger, Carsten, Lisec, Jan, Hansen, Martin, Vorkamp, Katrin, Zhu, Linyan, Cappelli, Francesca, Roscioli, Claudio, Valsecchi, Sara, Bagnati, Renzo, González, Belén, Prieto, Ailette, Zuloaga, Olatz, Gil-solsona, Ruben, Gago-ferrero, Pablo, Rodriguez-mozaz, Sara, Budzinski, Hélène, Devier, Marie-helene, Dierkes, Georg, Boulard, Lise, Jacobs, Griet, Voorspoels, Stefan, Rüdel, Heinz, and Ahrens, Lutz

Abstract

A collaborative trial involving 16 participants from nine European countries was conducted within the NORMAN network in efforts to harmonise suspect and non-target screening of environmental contaminants in whole fish samples of bream (Abramis brama). Participants were provided with freeze-dried, homogenised fish samples from a contaminated and a reference site, extracts (spiked and non-spiked) and reference sample preparation protocols for liquid chromatography (LC) and gas chromatography (GC) coupled to high resolution mass spectrometry (HRMS). Participants extracted fish samples using their in-house sample preparation method and/or the protocol provided. Participants correctly identified 9-69% of spiked compounds using LC-HRMS and 20-60% of spiked compounds using GC-HRMS. From the contaminated site, suspect screening with participants’ own suspect lists led to putative identification of on average ∼145 and ∼20 unique features per participant using LC-HRMS and GC-HRMS, respectively, while non-target screening identified on average ∼42 and ∼56 unique features per participant using LC-HRMS and GC-HRMS, respectively. Within the same sub-group of sample preparation method, only a few features were identified by at least two participants in suspect screening (16 features using LC-HRMS, 0 features using GC-HRMS) and non-target screening (0 features using LC-HRMS, 2 features using GC-HRMS). The compounds identified had log octanol/water partition coefficient (KOW) values ranging from -9.9 to 16 and mass-to-charge ratio (m/z) of 68 to 761 (LC-HRMS and GC-HRMS). A significant linear trend was found between log KOW and m/z for the GC-HRMS data. Overall, these findings indicate that differences in screening results are mainly due to the data analysis workflows used by different participants. Further work is needed to harmonise the results obtained when applying suspect and non-target screening approaches to environmental biota samples.

Published
2023
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4. Wide-scope target screening characterization of legacy and emerging contaminants in the Danube River Basin by liquid and gas chromatography coupled with high-resolution mass spectrometry

Author

Ng, Kelsey, primary, Alygizakis, Nikiforos, additional, Nika, Maria-Christina, additional, Galani, Aikaterini, additional, Oswald, Peter, additional, Oswaldova, Martina, additional, Čirka, Ľuboš, additional, Kunkel, Uwe, additional, Macherius, André, additional, Sengl, Manfred, additional, Mariani, Giulio, additional, Tavazzi, Simona, additional, Skejo, Helle, additional, Gawlik, Bernd M., additional, Thomaidis, Nikolaos S., additional, and Slobodnik, Jaroslav, additional

Published
2023
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