TY - JOUR
T1 - PFAS ghosts
T2 - how to identify, evaluate, and exorcise new and existing analytical interference
AU - Bangma, Jacqueline
AU - Barry, Kitrina M.
AU - Fisher, Christine M.
AU - Genualdi, Susan
AU - Guillette, Theresa C.
AU - Huset, Carin A.
AU - McCord, James
AU - Ng, Brian
AU - Place, Benjamin J.
AU - Reiner, Jessica L.
AU - Robuck, Anna
AU - Rodowa, Alix E.
N1 - Publisher Copyright:
© This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2024.
PY - 2024/3
Y1 - 2024/3
N2 - With increasing public awareness of PFAS, and their presence in biological and environmental media across the globe, comes a matching increase in the number of PFAS monitoring studies. As more matrices and sample cohorts are examined, there are more opportunities for matrix interferents to appear as PFAS where there are none (i.e., “seeing ghosts”), impacting subsequent reports. Addressing these ghosts is vital for the research community, as proper analytical measurements are necessary for decision-makers to understand the presence, levels, and potential risks associated with PFAS and protect human and environmental health. To date, PFAS interference has been identified in several matrices (e.g., food, shellfish, blood, tissue); however, additional unidentified interferents are likely to be observed as PFAS research continues to expand. Therefore, the aim of this commentary is several fold: (1) to create and support a publicly available dataset of all currently known PFAS analytical interferents, (2) to allow for the expansion of that dataset as more sources of interference are identified, and (3) to advise the wider scientific community on how to both identify and eliminate current or new analytical interference in PFAS analyses. Graphical Abstract: (Figure presented.)
AB - With increasing public awareness of PFAS, and their presence in biological and environmental media across the globe, comes a matching increase in the number of PFAS monitoring studies. As more matrices and sample cohorts are examined, there are more opportunities for matrix interferents to appear as PFAS where there are none (i.e., “seeing ghosts”), impacting subsequent reports. Addressing these ghosts is vital for the research community, as proper analytical measurements are necessary for decision-makers to understand the presence, levels, and potential risks associated with PFAS and protect human and environmental health. To date, PFAS interference has been identified in several matrices (e.g., food, shellfish, blood, tissue); however, additional unidentified interferents are likely to be observed as PFAS research continues to expand. Therefore, the aim of this commentary is several fold: (1) to create and support a publicly available dataset of all currently known PFAS analytical interferents, (2) to allow for the expansion of that dataset as more sources of interference are identified, and (3) to advise the wider scientific community on how to both identify and eliminate current or new analytical interference in PFAS analyses. Graphical Abstract: (Figure presented.)
KW - Analytical methods
KW - Interference
KW - Method development
KW - PFAS
UR - http://www.scopus.com/inward/record.url?scp=85183363886&partnerID=8YFLogxK
U2 - 10.1007/s00216-024-05125-y
DO - 10.1007/s00216-024-05125-y
M3 - Article
AN - SCOPUS:85183363886
SN - 1618-2642
VL - 416
SP - 1777
EP - 1785
JO - Analytical and Bioanalytical Chemistry
JF - Analytical and Bioanalytical Chemistry
IS - 8
ER -