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Membrane and Desalination Technologies - TCE Moodle Website

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152 N.K. Shammas <strong>and</strong> L.K. Wang<br />

4.5. Selection of Modules for Challenge Testing<br />

The intent of challenge testing under the LT2ESWTR is to characterize the removal<br />

efficiency of a specific membrane product without requiring challenge testing for all production<br />

modules. In addition, the rule does not specify a particular number of modules that are<br />

required to undergo challenge testing to demonstrate Cryptosporidium removal efficiency.<br />

However, because it is important that manufacturing variability in the product line be<br />

considered in the development of an appropriate challenge test, the number of modules<br />

subject to challenge testing, as well as the particular modules chosen, should be carefully<br />

selected on a rational <strong>and</strong> scientific basis. Although manufacturers or independent testing<br />

organizations may develop any number of different procedures for module selection, two<br />

common approaches are discussed as illustrative examples (3):<br />

1. Selection of modules based on previously collected QC data for the product line.<br />

2. R<strong>and</strong>om sampling of membrane modules from several manufactured lots according to a statistical<br />

sample design.<br />

Use of the first approach listed above is predicated on the existence of significant QC data<br />

for the product line accumulated over time by the manufacturer. Since manufacturers typically<br />

conduct some kind of NDPT on all modules produced to ensure quality <strong>and</strong> characterize the<br />

variability of a product line independent of the link established between nondestructive<br />

performance testing <strong>and</strong> challenge testing under the LT2ESWTR, such data should generally<br />

be available. Because the modules subject to challenge testing will be subsequently recharacterized<br />

with the NDPT to establish an acceptable QCRV required for all modules to be<br />

eligible for Cryptosporidium removal credit under the LT2ESWTR, it may be most advantageous<br />

for a manufacturer to select modules for challenge testing that are near the lower end of<br />

the statistical distribution of acceptable (i.e., under the manufacturer’s in-house QC procedures)<br />

NDPT results based on historical data. If these tested modules yield a QCRV that is<br />

consistent with the resolution requirement of the rule, then it is likely that the majority of<br />

production modules will also meet the established QCRV <strong>and</strong> thus be eligible for Cryptosporidium<br />

removal credit. Using this approach, the number of modules selected for challenge<br />

testing is generally at the discretion of the manufacturer or independent testing organization.<br />

If historical QC data for the product line is not available from the manufacturer, the second<br />

approach listed above may represent an appropriate option. This method involves the<br />

evaluation of a statistically significant r<strong>and</strong>om sample of modules from a number of production<br />

lots. Because the modules at the lower end of the QC data are not artificially selected (as<br />

with the first approach described above), it is likely that this method will result in a higher<br />

QCRV, resulting in a somewhat higher rejection rate of modules eligible for Cryptosporidium<br />

removal credit under LT2ESWTR. This number of modules selected for challenge testing<br />

using this approach will likely be dictated by the particular statistical sampling technique<br />

used. Either of these two approaches or other rationale approach developed by the manufacturer<br />

or independent testing organization could be utilized to select modules for challenge<br />

testing. Regardless of the method used, it is suggested that at least five membrane modules<br />

from different manufactured lots be evaluated during a challenge test.

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