The objectives of this study were to:
enable quantitative estimation of variability in microbial
data as a technique for evaluating experimental design; and,
provide a tool that enables comparison of sampling and
methodological errors so that analysts can focus efforts on
reducing the dominant error. Variability in enumeration methods:
five categories of sampling and methodological errors have been
identified in probabilistic models that enable more rigorous
statistical analysis of microbial enumeration data, including the following:
Representative sampling
-
variability due to spatial or temporal
heterogeneity of the source (samples are
not replicates);
Random sampling error
-
variability in the number of microbial
particles captured in replicate samples of
the same volume;
Random analytical error
-
variability in the number of microbial
particles observed due to method losses;
Non-constant analytical recovery
-
variability in the recovery efficiency of
the method between equivalently
processed samples; and,
Counting error
-
variability in the number of observations
between repeat counts of the same sample
by the same or different analysts. Includes 4 references, figures.
| Edition : | Vol. - No. |
| File Size : | 1
file
, 860 KB |
| Note : | This product is unavailable in Ukraine, Russia, Belarus |
| Number of Pages : | 1 |
| Published : | 11/01/2008 |
