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The goal of a quality control program is to obtain data on each production lot efficiently to provide assurance that it meets the product specification. A program is reported that uses a minimum number of control sample analyses to generate the data required for application of statistical methods. The proper combination of the assay product specification, analytical methods, and statistical methods is illustrated through use of the cumulative-average chart in the production of Formula A. The procedures for product approval, starting the quality control program, the number and evaluation of control sample analyses, rejection of analytical results and blunders, and preparing the laboratory report are defined. This quality control program provides cost-effective quantification of data from costly and complex analytical methods.
pesticides, quality control, sample analyses, statistical methods, quantification, product specification, mean, standard deviation, confidence limit
Senior research chemist, PPG Industries, Inc., Barberton, Ohio