Response to comment on 'An Alternative Minimum Level Definition for Analytical Quantification'

Article Abstract:

The determination of reporting limits, while dependent on the data quality objectives and quantification limit estimators of the researcher, remains to pass the the test of results that require them to measure up to the calibration function. This is due to the effect of statistical sampling, wherein an arrival to the true concentration value can only be effected by measuring the distribution of responses across a calibration function. This enables the correction of background effects.

Research and Development in the Physical, Engineering, and Life Sciences, Statistics, Models, Analysis, Risk assessment, Statistical sampling, Sampling (Statistics), Statistics (Mathematics), Statistical decision, Statistical decision theory

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Comment on "Method Detection Limits in Solid Waste Analysis." (comment on David E. Kimbrough and Janice Wakakuwa, Environmental Science and Technology, vol. 27, p. 2692, 1993)

Article Abstract:

The observation that the EPA's method detection limit procedure is highly susceptible to error and yields accurate results only under interference-free conditions is valid. However, the criticisms levied by Kimbrough and Wakakuwa are based on unwise definitions of detection and quantitation and wrong notions about accuracy. To illustrate the shortcomings of the EPA procedure, it is better to resort to traditional definitions of detection outcomes.

United States. Environmental Protection Agency

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Response to comment on "an alternative minimum level definition for analytical quantification."

Article Abstract:

Some environmental scientists fear that the proposed Alternative Minimum Level (AML) definition for analytical quantification of contaminants will become a regulatory standard that would disregard the data from laboratories that can demonstrate attainment of low detection and quantification limits. AML was not based on a collection of data from many laboratories and does not indicate the need to use interlaboratory data.

Administration of Air and Water Resource and Solid Waste Management Programs, Environmental Programs, Beliefs, opinions and attitudes, Environmental indexes, Environmental policy, Environmental protection

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