Most analytical methods for quantification of pathogens and other such discrete particles in water are
highly uncertain. This paper addresses one important source of variability in such methods:
the recovery efficiency, or proportion of particles observed. A model for uncertainty in these methods
proposed by Nahrstedt and Gimbel1 is summarized to illustrate the experimental and statistical context
of this work. A Monte Carlo simulation method is then developed and applied to evaluate the quality of
experimental designs to quantify variability in recovery. In particular, this method is applied to develop
preliminary guidelines pertaining to the scope, the number of samples, and the number of particles in
each sample to be used in recovery studies. Finally, two commonly applied techniques for the
estimation of recovery parameters are presented and contrasted. Includes 7 references, tables, figures.
| Edition : | Vol. - No. |
| File Size : | 1
file
, 170 KB |
| Note : | This product is unavailable in Ukraine, Russia, Belarus |
| Number of Pages : | 10 |
| Published : | 11/01/2005 |
