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Ashby, Liz J.; Mill, Kate E. C.; Arnold, Mariah C.; Van Geest, Jordana L.; de Bruyn, Adrian M. H.

Analysis of Selenium in Fish Tissue: An Interlaboratory Study on Weight Constraints

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  • Medientyp: E-Artikel
  • Titel: Analysis of Selenium in Fish Tissue: An Interlaboratory Study on Weight Constraints
  • Beteiligte: Ashby, Liz J.; Mill, Kate E. C.; Arnold, Mariah C.; Van Geest, Jordana L.; de Bruyn, Adrian M. H.
  • Erschienen: Wiley, 2023
  • Erschienen in: Environmental Toxicology and Chemistry
  • Sprache: Englisch
  • DOI: 10.1002/etc.5703
  • ISSN: 0730-7268; 1552-8618
  • Schlagwörter: Health, Toxicology and Mutagenesis ; Environmental Chemistry
  • Entstehung:
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  • Beschreibung: <jats:title>Abstract</jats:title><jats:p>Environmental monitoring programs that target fish tissues for selenium (Se) analysis present unique sampling and analytical challenges. Selenium monitoring programs ideally focus on egg/ovary sampling but frequently sample multiple tissues with varying lipid content, often target small‐bodied fish species because of their small home ranges, and require reporting in units of dry weight. In addition, there is a growing impetus for nonlethal tissue sampling in fish monitoring. As a result, Se monitoring programs often generate low‐weight tissue samples of varying lipid content, which challenges analytical laboratories to quantify tissue Se concentrations accurately, precisely, and at desired detection limits. The objective of the present study was to stress‐test some conventional analytical techniques used by commercial laboratories in terms of their ability to maintain data quality objectives (DQOs) in the face of sample weight constraints. Four laboratories analyzed blind a suite of identical samples, and data were compared against a priori DQOs for accuracy, precision, and sensitivity. Data quality tended to decrease with decreasing sample weight, particularly when samples were less than the minimum weights requested by the participating laboratories; however, effects of sample weight on data quality were not consistent among laboratories or tissue types. The present study has implications for accurately describing regulatory compliance in Se monitoring programs, highlighting some important considerations for achieving high data quality from low‐weight samples. <jats:italic>Environ Toxicol Chem</jats:italic> 2023;42:2119–2129. © 2023 SETAC</jats:p>