T3-12 Accuracy and Precision of Analyst and Method Performance in Testing Indicator Organisms in Infant Formula Based on a Proficiency Study

Sunday, July 26, 2015: 4:45 PM
C123 (Oregon Convention Center)
Ravinder M. Reddy , U.S. Food and Drug Administration , Bedford Park , IL
Robert Newkirk , U.S. Food and Drug Administration , Bedford Park , IL
Samantha Lindemann , U.S. Food and Drug Administration , Bedford Park , IL
Hossein Daryaei , Illinois Institute of Technology/IFSH , Bedford Park , IL
Christopher Powers , Illinois Institute of Technology/IFSH , Bedford Park , IL
Steffen Uhlig , Quo Data , Dresden , Germany
Introduction: Indicator microorganisms are widely used to assess the microbiological quality of foods. Measurement variability in microbiological testing could affect enforcement of regulations. Proficiency tests allow for statistical evaluation of the accuracy and precision of routine screening methods, analysts, and laboratories in order to quantify variability.

Purpose: Quantitatively analyze variability of analysts, laboratories, and methods from a proficiency test assessing the level of indicator organisms in infant formula.

Methods: Commercial liquid and powdered infant formula samples (LIF, PIF) were spiked at two different inoculum levels in duplicate with a cocktail of Gram positive and negative organisms. The inoculation procedures, mixing methods, and homogeneity/stability were verified by three independent trials according to ISO 17043 and ISO 13528. Aerobic Plate Count, Total Coliforms, Fecal Coliforms, Enterobacteriaceae, and E. coli were measured by 79 analysts/59 laboratories (LIF) and 19 analysts/19 laboratories (PIF).

Results: Homogeneity and stability of distributed samples, log-normal distributions, skewness, Youden plot analysis, and Analyst/laboratory z-scores were calculated according to ISO 13528 using ProLab®.  Relative repeatability was 12.78 - 81.25% (LIF) and 31.03 - 105.37% (PIF). Relative reproducibility range was 31.03 - 105.37% (LIF) and 83.24 - 175.82% (PIF). Equivalency testing was calculated using Q-Hampel method and showed Petrifilm™ and traditional plate count methods were not equivalent for aerobic counts in LIF samples with a relative bias of 70.31%. MPN and Petrifilm™ had comparable performance for total coliform, E.coli, and fecal coliform counts in LIF samples with relative biases of -7.64%, 7.81%, and -0.5%, consecutively.

Significance: This study demonstrates the value of data from large, interlaboratory studies, such as proficiency tests, can be used in a novel way to measure accuracy and precision of methods, analyst’s performance as well as overall performance of laboratories.