Interlaboratory performance and quantitative PCR data acceptance metrics for NIST SRM® 2917

Copyright © 2022. Published by Elsevier Ltd..

Surface water quality quantitative polymerase chain reaction (qPCR) technologies are expanding from a subject of research to routine environmental and public health laboratory testing. Readily available, reliable reference material is needed to interpret qPCR measurements, particularly across laboratories. Standard Reference Material® 2917 (NIST SRM® 2917) is a DNA plasmid construct that functions with multiple water quality qPCR assays allowing for estimation of total fecal pollution and identification of key fecal sources. This study investigates SRM 2917 interlaboratory performance based on repeated measures of 12 qPCR assays by 14 laboratories (n = 1008 instrument runs). Using a Bayesian approach, single-instrument run data are combined to generate assay-specific global calibration models allowing for characterization of within- and between-lab variability. Comparable data sets generated by two additional laboratories are used to assess new SRM 2917 data acceptance metrics. SRM 2917 allows for reproducible single-instrument run calibration models across laboratories, regardless of qPCR assay. In addition, global models offer multiple data acceptance metric options that future users can employ to minimize variability, improve comparability of data across laboratories, and increase confidence in qPCR measurements.

Medienart:

E-Artikel

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

Zur Gesamtaufnahme - volume:225

Enthalten in:

Water research - 225(2022) vom: 15. Okt., Seite 119162

Sprache:

Englisch

Beteiligte Personen:

Sivaganesan, Mano [VerfasserIn]
Willis, Jessica R [VerfasserIn]
Karim, Mohammad [VerfasserIn]
Babatola, Akin [VerfasserIn]
Catoe, David [VerfasserIn]
Boehm, Alexandria B [VerfasserIn]
Wilder, Maxwell [VerfasserIn]
Green, Hyatt [VerfasserIn]
Lobos, Aldo [VerfasserIn]
Harwood, Valerie J [VerfasserIn]
Hertel, Stephanie [VerfasserIn]
Klepikow, Regina [VerfasserIn]
Howard, Mondraya F [VerfasserIn]
Laksanalamai, Pongpan [VerfasserIn]
Roundtree, Alexis [VerfasserIn]
Mattioli, Mia [VerfasserIn]
Eytcheson, Stephanie [VerfasserIn]
Molina, Marirosa [VerfasserIn]
Lane, Molly [VerfasserIn]
Rediske, Richard [VerfasserIn]
Ronan, Amanda [VerfasserIn]
D'Souza, Nishita [VerfasserIn]
Rose, Joan B [VerfasserIn]
Shrestha, Abhilasha [VerfasserIn]
Hoar, Catherine [VerfasserIn]
Silverman, Andrea I [VerfasserIn]
Faulkner, Wyatt [VerfasserIn]
Wickman, Kathleen [VerfasserIn]
Kralj, Jason G [VerfasserIn]
Servetas, Stephanie L [VerfasserIn]
Hunter, Monique E [VerfasserIn]
Jackson, Scott A [VerfasserIn]
Shanks, Orin C [VerfasserIn]

Links:

Volltext

Themen:

9007-49-2
DNA
Journal Article
Microbial source tracking
Multiple laboratory
QPCR
Rapid fecal indicator
Standard calibration material

Anmerkungen:

Date Completed 20.10.2022

Date Revised 16.10.2023

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.watres.2022.119162

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM347069940