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Abstract Title:

Evaluation of sampling plans to detect Cry9C protein in corn flour and meal.

Abstract Source:

J AOAC Int. 2004 Jul-Aug;87(4):950-60. PMID: 15295890

Abstract Author(s):

Thomas B Whitaker, Mary W Trucksess, Francis G Giesbrecht, Andrew B Slate, Francis S Thomas

Article Affiliation:

U.S. Department of Agriculture, Agricultural Research Service, North Carolina State University, Raleigh, NC 27695-7625, USA. tom_whitaker@ncsu.edu

Abstract:

StarLink is a genetically modified corn that produces an insecticidal protein, Cry9C. Studies were conducted to determine the variability and Cry9C distribution among sample test results when Cry9C protein was estimated in a bulk lot of corn flour and meal. Emphasis was placed on measuring sampling and analytical variances associated with each step of the test procedure used to measure Cry9C in corn flour and meal. Two commercially available enzyme-linked immunosorbent assay kits were used: one for the determination of Cry9C protein concentration and the other for % StarLink seed. The sampling and analytical variances associated with each step of the Cry9C test procedures were determined for flour and meal. Variances were found to be functions of Cry9C concentration, and regression equations were developed to describe the relationships. Because of the larger particle size, sampling variability associated with cornmeal was about double that for corn flour. For cornmeal, the sampling variance accounted for 92.6% of the total testing variability. The observed sampling and analytical distributions were compared with the Normal distribution. In almost all comparisons, the null hypothesis that the Cry9C protein values were sampled from a Normal distribution could not be rejected at 95% confidence limits. The Normal distribution and the variance estimates were used to evaluate the performance of several Cry9C protein sampling plans for corn flour and meal. Operating characteristic curves were developed and used to demonstrate the effect of increasing sample size on reducing false positives (seller's risk) and false negatives (buyer's risk).

Study Type : Plant Study

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Sayer Ji
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