Microorganisms such as Cryptosporidium are enumerated
by techniques that are susceptible to considerable
losses, resulting in highly variable recoveries. This
research quantified the methodological uncertainties in
microbial concentration and removal data to demonstrate
the effects of organism count, sample volume,
replication, and methodological recovery on methodological
uncertainty in microbial data. The authors
found that the uncertainty associated with microbiological
methods is more substantially reduced by increasing
organism count to 10 or more than by improving
methodological recovery.
This investigation demonstrates the necessity of
treatment technique-based regulations such as the Long
Term 2 Enhanced Surface Water Treatment Rule. Findings
further suggest that before revisions to the Total
Coliform Rule are finalized, a rigorous quantitative
analysis should be conducted of the uncertainty associated
with compliance data derived from the rule's
approved analytical methods. Includes 36 references, figures.
| Edition : | Vol. 100 - No. 3 |
| File Size : | 1
file
, 470 KB |
| Note : | This product is unavailable in Ukraine, Russia, Belarus |
| Number of Pages : | 11 |
| Published : | 03/01/2008 |
