title: Efficient optimization of ELISAs.
abstract: In this paper, we describe a technique for using the statistical method of fractional factorial design in the optimization of an ELISA. Fractional factorial design dramatically reduces the total number of experiments required in the optimization. In addition, this technique enables us to determine the parameters that give the maximum sensitivity range with the most accuracy for the ELISA studied.
authors: Department of Chemical Engineering, Washington State University, Pullman 99164-2710.
authors: S R
authors: SR
authors: Reiken
authors: B J
authors: BJ
authors: Van Wie
authors: H
authors: H
authors: Sutisna
authors: D L
authors: DL
authors: Kurdikar
authors: W C
authors: WC
authors: Davis
mesh_terms: D000818:Animals; D000911:Antibodies, Monoclonal / Q000276:immunology; D004306:Dose-Response Relationship, Immunologic; D004797:Enzyme-Linked Immunosorbent Assay / Q000379:methods*; D051381:Rats; D011978:Receptors, Nicotinic / Q000276:immunology; D013223:Statistics as Topic
chemical_list: D000911:Antibodies, Monoclonal; D011978:Receptors, Nicotinic