Lloyd A. Currie prepared the 1995 IUPAC recommendations on evaluating analytical methods, including detection and quantification capabilities. A central contribution was to separate an observed-result decision from the capability of a measurement process. A detection decision threshold controls the chance of a false positive, while a limit of detection also depends on the chance of missing a real signal.[ref]
Nomenclature in evaluation of analytical methods including detection and quantification capabilities by Lloyd A. Currie. IUPAC Recommendations1995, §§3.7.2–3.7.3, especially p.1709: critical values, detection capability and error probabilities.
An original idealized example makes the distinction visible. Suppose the blank-corrected measurement has a normal distribution with standard deviation one. A threshold near gives a 5% type I error under a zero-mean blank model. A true mean near places that same threshold about standard deviations below the mean, giving about 95% detection probability, or 5% type II error.
The two signal levels answer different questions: whether one observed result crosses a decision boundary, and how strong a true signal must be for reliable detection under the assumed process. These numbers belong to the stated model; they are not universal detection limits for instruments.
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