3M Molecular Detection System

3M Molecular Detection System


ST. PAUL, Minn. – July 24, 2012 – Today, 3M Food Safety announced that it received
AOAC‐PTM Certification (#071202) for its new 3M Molecular Detection Assay for
E. coli O157 (including H7) from the AOAC Research Institute’s Performance Tested
MethodsSM Program. The certification gives food processors greater assurance in
safeguarding against pathogenic E. coli, a causative agent of foodborne illness
responsible for an estimated 73,000 cases annually in the U.S. and second only to
Salmonella in the number of outbreaks.
Introduced in December 2011, the 3M™ Molecular Detection System combines two
innovative technologies – isothermal DNA amplification and bioluminescence
detection – to provide a fast and reliable method of pathogen detection in enriched
food, feed and food process environmental samples. Determined to be equivalent to
standard FDA and USDA reference methods for the detection of E. coli O157,this
AOAC‐PTM certification validates 3M’s new molecular approach for pathogen
detection.
The PTM validation of E. coli O157 follows an earlier validation of the Salmonella
assay from the AOAC Research Institute, which bases certification of methods on
independent study results demonstrating that a given method meets its product
performance claims as expressed in the product package insert. For the 3M
Molecular Detection Assay E. coli O157 method PTM study, artificially contaminated
samples were enriched and evaluated by the 3M Molecular Detection System as
compared to the appropriate FDA or USDA FSIS reference method. Sample groups
evaluated included raw ground beef, bagged spinach and sprouts, and no
statistically significant differences were found in sample results between the 3M
Molecular Detection Assay E. coli O157 (including H7) and reference methods.
“We are very excited about this validation and what it means for the 3M Molecular
Detection System,” said DeAnn Benesh, regulatory affairs specialist with 3M Food

Recent changes:
Update for Androids
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About 3M Molecular Detection System
ST. PAUL, Minn. – July 24, 2012 – Today, 3M Food Safety announced that it received
AOAC‐PTM Certification (#071202) for its new 3M Molecular Detection Assay for
E. coli O157 (including H7) from the AOAC Research Institute’s Performance Tested
MethodsSM Program. The certification gives food processors greater assurance in
safeguarding against pathogenic E. coli, a causative agent of foodborne illness
responsible for an estimated 73,000 cases annually in the U.S. and second only to
Salmonella in the number of outbreaks.
Introduced in December 2011, the 3M™ Molecular Detection System combines two
innovative technologies – isothermal DNA amplification and bioluminescence
detection – to provide a fast and reliable method of pathogen detection in enriched
food, feed and food process environmental samples. Determined to be equivalent to
standard FDA and USDA reference methods for the detection of E. coli O157,this
AOAC‐PTM certification validates 3M’s new molecular approach for pathogen
detection.
The PTM validation of E. coli O157 follows an earlier validation of the Salmonella
assay from the AOAC Research Institute, which bases certification of methods on
independent study results demonstrating that a given method meets its product
performance claims as expressed in the product package insert. For the 3M
Molecular Detection Assay E. coli O157 method PTM study, artificially contaminated
samples were enriched and evaluated by the 3M Molecular Detection System as
compared to the appropriate FDA or USDA FSIS reference method. Sample groups
evaluated included raw ground beef, bagged spinach and sprouts, and no
statistically significant differences were found in sample results between the 3M
Molecular Detection Assay E. coli O157 (including H7) and reference methods.
“We are very excited about this validation and what it means for the 3M Molecular
Detection System,” said DeAnn Benesh, regulatory affairs specialist with 3M Food

Recent changes:
Update for Androids

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A Google User
Feb 24, 2014
Lab efficiency.