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EPA air monitoring chain of custody, Jan 2003

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A chain of custody cover sheet for air monitoring samples sent to the EPA Region 1 laboratory in January 2003.

NYC-WTC_000149346–000149430

Folder label: “AIR MONITORING - LAB

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NYC 9/11 Public Portal Document

ASBESTOS and OTHER FIBERS by PCM: METHOD 7400, Issue 2, dated 15 August 1994 - Page 9 of 15

Intralaboratory Interiaboratory S, QveralLS.

AIA (NIOSH A Rules)* 0.12 to 0.40 0.27 to 0.85 0.46 Modified CRS (NIOSH B Rules)** 0.11 to 0.29 0.20 to 0.35 0.25

* Under AIA rules, only fibers having a diameter less than 3 pm are counted and fibers attached to particles larger than 3 pm are not counted. NIOSH A Rules are otherwise similar to the AIA rules. ** See Appendix C.

A NIOSH study conducted using field samples of asbestos gave intralaboratory S Jn the range 0.17 to 0.25 and an interlaboratory S of 0.45 [21]. This agrees well with other recent studies [9,14,16].

At this time, there is no independent means for assessing the overall accuracy of this method. One measure of reliability is to estimate how well the count for a single sample agrees with the mean count from a large number of laboratories. The following discussion indicates how this estimation can be carried out based on measurements of the interlaboratory variability, as well as showing how the results of this method relate to the theoretically attainable counting precision and to measured intra- and interlaboratory S (NOTE: The following discussion does not include bias estimates and should not be taken to indicated that lightly loaded samples are as accurate as properly loaded ones).

Theoretically, the process of counting randomly (Poisson) distributed fibers on a filter surface will give an Sf that depends on the number, N, of fibers counted:

S, = 1/( N (1)

Thus S js 0.1 for 100 fibers and 0.32 for 10 fibers counted. The actual S , found in a number of studies is greater than these theoretical numbers [17,19,20,21].

An additional component of variability comes primarily from subjective interiaboratory differences. In a study of ten counters in a continuing sample exchange program, Ogden [15] found this subjective component of intralaboratory S Jo be approximately 0.2 and estimated the overall S by the term:

[ N + ( 0.2 • N fg (2) N

Ogden found that the 90% confidence interval of the individual intralaboratory counts in relation to the means were +2 S, and -1.5 S,. In this program, one sample out often was a quality control sample. For laboratories not engaged in an intensive quality assurance program, the subjective component of variability can be higher.

In a study of field sample results in 46 laboratories, the Asbestos Information Association also found that the variability had both a constant component and one that depended on the fiber count [14]. These results gave a subjective interiaboratory component of S (on the same basis as Ogden's) for field samples of ca. 0.45. A similar value was obtained for 12 laboratories analyzing a set of 24 field samples [21]. This value falls slightly above the range of S , (0.25 to 0.42 for 1984-85) found for 80 reference laboratories in the NIOSH PAT program for laboratory-generated samples [17].

A number of factors influence S for a given laboratory, such as that laboratory's actual counting performance and the type of samples being analyzed. In the absence of other information, such as from an interlaboratory quality assurance program using field samples, the value for the subjective component of variability is chosen as 0.45. It is hoped that the laboratories will carry out the recommended interlaboratory quality assurance programs to improve their performance and thus reduce the S

NIOSH Manual of Analytical Methods (NMAM), Fourth EdiUon, 8/15/94

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