21:I[432972,["/_next/static/chunks/bb923814e1f4d2e9.js","/_next/static/chunks/dd3ee9f5b7716ca6.js","/_next/static/chunks/4204a0ae82542ca8.js","/_next/static/chunks/1270dead247da766.js","/_next/static/chunks/6e1aa89a642f40be.js","/_next/static/chunks/2d7aa753e81324a8.js","/_next/static/chunks/8ffd0b71567920d8.js","/_next/static/chunks/67ea6dfd21f16c5f.js","/_next/static/chunks/24eb4379f68013fd.js","/_next/static/chunks/b8cd775ffdf935bd.js","/_next/static/chunks/983103cd9eb7b428.js","/_next/static/chunks/263f2cdcb9aa2341.js","/_next/static/chunks/294b9525248c8e5f.js"],"default"] 22:T4de,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.23:T4f4,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.24:T4cb,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 chicken and turkey adulteration. Objective: To address this need, Microbiologique, Inc. has developed an ELISA that can quantify the presence of chicken and turkey down to 0.1% (w/w) in cooked pork, horse, beef, goat, and lamb meats. Results: This chicken/turkey authentication ELISA has an analytical sensitivity of 0.000037% and 0.000048% (w/v) for cooked and autoclaved chicken, respectively, and an analytical range of quantitation of 0.025-2% (w/v), in the absence of other meats. The assay cross-reacts with cooked duck and pheasant but does not demonstrate any cross-reactivity with cooked pork, horse, beef, goat, and lamb meats, egg, or common food matrixes. Conclusions: The assay is rapid, can be completed in 70 min, and can detect a 0.1

#	Concept	H-Index	Publications	Citations
1	Health Sciences	1	1	17
2	Public Health	1	1	17
3	Biostatistics	1	1	17
4	Microbiology	1	1	17
5	Food Quality	1	1	17

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