In this paper, we describe a technique for using the statistical metho
d of fractional factorial design in the optimization of an ELISA. Frac
tional factorial design dramatically reduces the total number of exper
iments required in the optimization. In addition, this technique enabl
es us to determine the parameters that give the maximum sensitivity ra
nge with the most accuracy for the ELISA studied.