Optimizing ELISAs for precision and robustness using laboratory automation and statistical design of experiments

J Immunol Methods. 2008 Aug 20;337(1):35-41. doi: 10.1016/j.jim.2008.05.012. Epub 2008 Jun 12.

Abstract

Transferring manual ELISAs to automated platforms requires optimizing the assays for each particular robotic platform. These optimization experiments are often time consuming and difficult to perform using a traditional one-factor-at-a-time strategy. In this manuscript we describe the development of an automated process using statistical design of experiments (DOE) to quickly optimize immunoassays for precision and robustness on the Tecan EVO liquid handler. By using fractional factorials and a split-plot design, five incubation time variables and four reagent concentration variables can be optimized in a short period of time.

MeSH terms

  • Animals
  • Automation / statistics & numerical data*
  • Data Interpretation, Statistical
  • Enzyme-Linked Immunosorbent Assay / standards*
  • Enzyme-Linked Immunosorbent Assay / statistics & numerical data*
  • Factor Analysis, Statistical
  • Humans
  • Models, Statistical*
  • Reproducibility of Results
  • Research Design / statistics & numerical data*
  • Robotics
  • Time Factors