Quantitative Detection of Beef Contamination in Cooked Meat Products by ELISA
Cortlandt P Thienes1, Jongkit Masiri1, Lora A Benoit2
1Molecular Epidemiology, Inc., 15300 Bothell Way NE, Lake Forest Park, WA 98155.
Abstract:
Background: Concerns about the contamination of meat products with undeclared meats, and new regulations for the declaration of meat adulterants have established the need for a rapid test to detect beef adulteration to 0.1% sensitivity. Objective: To address this need, Microbiologique, Inc. has developed an ELISA that can quantify the presence of beef down to 0.1% (w/w) in cooked pork, horse, chicken, goat, and sheep meat. Results: The beef-authentication ELISA has an analytical sensitivity of 0.00022 and 0.00012% (w/v) for cooked and autoclaved beef, respectively, and an analytical range of quantitation of 0.025 to 2% (w/v), in the absence of other meats. Moreover, the assay is specific for cooked beef and does not cross react with common food matrixes. Conclusions: The assay is rapid, can be completed in 70 min, and can detect a 0.1% level of meat adulteration. The assay is an improvement over a previous U.S. Department of Agriculture's tested assay, which is sensitive to 1% adulteration and takes 2.5-3 h to complete. Highlights: The Microbiologique Cooked Beef ELISA can quantitate cooked beef in the presence of pork, horse, chicken, goat, and sheep meat to 0.1% (w/w) and is not affected by common food matrixes.
More Related Videos
Related Concept Videos
Contaminants and Errors
Another key consideration is determining the appropriate number of samples required to...
Scalar Product (Dot Product)
The scalar product of two vectors is obtained by multiplying...
Vector Product (Cross Product)
Consider the cross product of two vectors. Imagine rotating the first vector about...
Quantitative Analysis
In quantitative analysis, two key measurements are made: the sample quantity and a property proportional to the amount of the analyte (the substance being analyzed). This forms the basis of the...
Primary Production
Production Efficiency


