Updating the ELISA standard curve fitting process to reduce uncertainty in estimated microcystin concentrations

Nummer, Stephanie A.; Weeden, Alexandra J.; Shaw, Chloe; Snyder, Brenda K.; Bridgeman, Thomas B.; Qian, Song S.

doi:https://doi.org/10.1016/j.mex.2018.03.011

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The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.

i

Updating the ELISA standard curve fitting process to reduce uncertainty in estimated microcystin concentrations

2018
By Nummer, Stephanie A. ; Weeden, Alexandra J. ; Shaw, Chloe ; ...
Source: MethodsX, 5, 304-311.

[PDF-634.16 KB]

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Journal Title:

MethodsX
Personal Author:

Nummer, Stephanie A. ; Weeden, Alexandra J. ; Shaw, Chloe ; Snyder, Brenda K. ; Bridgeman, Thomas B. ; ... More +

Nummer, Stephanie A. ; Weeden, Alexandra J. ; Shaw, Chloe ; Snyder, Brenda K. ; Bridgeman, Thomas B. ; Qian, Song S. Less -
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; CILER (Cooperative Institute for Limnology and Ecosystems Research) ; CIGLR (Cooperative Institute for Great Lakes Research)

OAR (Oceanic and Atmospheric Research) ; CILER (Cooperative Institute for Limnology and Ecosystems Research) ; CIGLR (Cooperative Institute for Great Lakes Research) Less -
Description:

This study is aimed at exploring the optimal ELISA standard curve fitting process for reducing measurement uncertainty. Using an ELISA kit for measuring cyanobacterial toxin (microcystin), we show that uncertainty associated with the estimated microcystin concentrations can be reduced by defining the standard curve as a four-parameter logistic function on the natural log concentration scale, instead of the current approach of defining the curve on the concentration scale. The model comparison method is outlined in this paper, allowing it to be transferable to test different statistical models for other ELISA test kits.
Source:

MethodsX, 5, 304-311.
DOI:

https://doi.org/https://doi.org/10.1016/j.mex.2018.03.011
Document Type:

Journal Article
Funding:

Grant no. NA12OAR4320071
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CC BY
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Submitted
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urn:sha256:cecde8fa2829caa30d9922b2a27a627824ba08129755fb73d7edc3e39f5fbbc0
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https://repository.library.noaa.gov/view/noaa/20928/noaa_20928_DS1.pdf
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Updating the ELISA standard curve fitting process to reduce uncertainty in estimated microcystin concentrations

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