“…It is only fair to point out, however, as this paper will show, that in either case, under certain fortuitous circumstances involving the sample and standard responses, no computational error in the result may, in fact, exist. Intercepts in response curves are often encountered with positive or negative values almost always of the algebraic sign as predictable from the type of measured signal: positivefluorometry (3,20), spectrophotometry (22,23), spectrofluorodensitometry or spectrophotodensitometry (3,7,25); negative-polarography (4), GLC (19), HPLC (6,24). It is the purpose of this paper to evaluate both qualitatively and quantitatively the bias error caused by an SPEC calculation from an assumed linear response curve through zero for the case where the true response curve is a straight line with a significant intercept.…”