CAT | Design of Experiments
A little blurb about using Design of Experiments (DOE) for bioassay development:
http://www.thefreelibrary.com/DOE+factors+into+bioassay+development,+says+USP+workshop-a0202645042
Hello everyone,
I haven’t been posting much on the blog lately. That’s because I’ve been busy writing the first chapter in a book on using Design of Experiments (DOE) in assay development. I have published the first chapter for free here on this site.
Please leave me a comment if you like it, hate it, or have any idea for topics you’d like to see in future chapters.
Go to the DOE book page to download the first chapter!
Dan
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Standardized use of DOE in immunoassay development and validation
0 Comments | Posted by Dan in Design of Experiments
Design of Experiments (DOE) can be an extremely powerful way to quickly develop, optimize, and validate potency assays.
This slide deck describes a standardized approach for developing immunoassays using design of experiments, with a case study for one assay: Joelsson ELISA DOE
Thanks for reading!
Dan
2
Automated DOE for Immunoassays
0 Comments | Posted by Dan in Assay automation, Design of Experiments, References
This is a slide deck describing the implementation of a standardized, DOE-based immunoassay development process using laboratory automation: Joelsson – Rapid Assay Optimization DOE
This study was also published as an article:
J Immunol Methods. 2008 Aug 20;337(1):35-41. Epub 2008 Jun 12.
Optimizing ELISAs for precision and robustness using laboratory automation and statistical design of experiments.
Joelsson D, Moravec P, Troutman M, Pigeon J, DePhillips P.
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.
Thanks for reading!
Dan
