文章基本信息

标题：Updating the ELISA standard curve fitting process to reduce uncertainty in estimated microcystin concentrations
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作者：Stephanie A. Nummer ; Alexandra J. Weeden ; Chloe Shaw 等
期刊名称：MethodsX
印刷版ISSN：2215-0161
电子版ISSN：2215-0161
出版年度：2018
卷号：5
页码：304-311
DOI：10.1016/j.mex.2018.03.011
语种：English
出版社：Elsevier
摘要：Graphical abstractDisplay OmittedAbstractThis 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.
关键词：Cyanobacteria;Drinking water;Harmful algal bloom;Nonlinear regression