Correcting for enzyme immunoassay changes in long term monitoring studies
作者： Andreas Zedrosser , Andreas Zedrosser , Gordon Stenhouse , David M. Janz , Jon E. Swenson
DOI: 10.1016/J.MEX.2021.101212
关键词:
摘要: Abstract Enzyme immunoassays (EIAs) are a common tool for measuring steroid hormones in wildlife due to their low cost, commercial availability, and rapid results. Testing technologies improve continuously, sometimes requiring changes protocols or crucial assay components. Antibody replacement between EIA kits can cause differences sensitivity, which hinder monitoring hormone concentration over time. The antibody cortisol kit used long-term of stress was replaced 2014, causing cross reactivity standard curve concentrations. Therefore, the objective this study develop method standardize results following sensitivity. We validated using concentrations measured hair brown bears (Ursus arctos). • simple linear regression model relationship 1 2. found two (R2 = 0.85) equation (kit2 = (0.98 × kit1) + 1.65) predict re-measured samples. Mean predicted percent error 16% 72% samples had
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