Sd. Pillai et Sc. Ricke, STRATEGIES TO ACCELERATE THE APPLICABILITY OF GENE AMPLIFICATION PROTOCOLS FOR PATHOGEN DETECTION IN MEAT AND MEAT-PRODUCTS, Critical reviews in microbiology, 21(4), 1995, pp. 239-261
Traditionally, microbiological testing of meat products has involved i
solating microorganisms and performing specific biochemical, and in so
me cases serological, tests to confirm the presence or absence of susp
ected food-borne pathogens. Given the public attention meat products h
ave received as sources of food-borne disease, there has been consider
able interest in the application of rapid detection techniques that re
quire hours rather than days for completion. Theoretically, rapid dete
ction methods could reduce the time from the initial sampling to confi
rmation so that conclusive results would be available by the time requ
ired to process the meat product. Both direct gene probe hybridization
s as well as gene amplification methods show promise as rapid detectio
n techniques. At present, direct gene probe hybridizations are being c
ommercially utilized to confirm the presence of a suspected pathogen.
A number of gene amplification protocols for detecting food-borne bact
erial pathogens have been published. However, many of these studies ha
ve utilized spiked samples rather than naturally contaminated samples
and many of them have involved extended template extraction/purificati
on methodologies. There is still only a very limited amount of informa
tion on the efficacies of the various protocols in detecting bacterial
pathogens, especially toxigenic Escherichia coli, Salmonella spp., Ca
mpylobacter spp., and Listeria spp., in naturally contaminated food sa
mples. In order to develop gene amplification protocols that have rele
vance to the meat industry, there must be a concerted effort to utiliz
e naturally contaminated samples in the development and evaluation of
protocols, as well as to initiate multilaboratory round robin evaluati
ons of select protocols. Availability of multilaboratory tested method
ologies would provide a means to design pathogen detection strategies
at the quality control level rather than an end product confirmatory r
esponse to an already documented outbreak.