Utilization of NIST SRM: A case study for per- and polyfluoroalkyl substances in NIST SRM 1957 Organic Contaminants in Non-Fortified Human Serum
Alix E. Robel, Jessica L. Reiner
The National Institute of Standards and Technology (NIST) generates and maintains thousands of Standard Reference Materials (SRMs) to serve commerce worldwide. Many SRMs contain metrologically traceable mass fractions of known organic chemicals and are commercially available to aid the analytical chemistry community. One such material, NIST SRM 1957 Organic Contaminants in Non-Fortified Human Serum, was one of the first materials issued by NIST with measurements for per- and polyfluoroalkyl substances (PFAS) listed on the Certificate of Analysis and was commercially available in 2009. Since the release of SRM 1957, nearly 400 units have been sold to date, and over 50 publications related to PFAS measurements have included this material for multiple analytical purposes, such as a quality control material, for interlaboratory comparison, as an in-house comparison tool, for inter- and intra-day measurement accuracy, as an indicator of isomeric patterns of PFAS, and for other uses. This perspective details the ways SRM 1957 is utilized by the analytical community and how data have been reported in the literature. A discussion on accurately comparing SRM data to generated data is included. Furthermore, we conducted an in-depth investigation around additional applications for NIST SRMs, such as a matrix-matched reference material, and for the identification of targeted compounds during high-resolution mass spectrometry data collection. Ultimately, this manuscript illustratively describes the ways to utilize a NIST SRMs for chemicals of emerging concern.
and Reiner, J.
Utilization of NIST SRM: A case study for per- and polyfluoroalkyl substances in NIST SRM 1957 Organic Contaminants in Non-Fortified Human Serum, Analytical and Bioanalytical Chemistry, [online], https://doi.org/10.1007/s00216-021-03241-7, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=931084
(Accessed July 1, 2022)