There are several major factors responsible for accentuating the need for r
eal-time defection techniques for foodborne pathogens. These include: (1) t
he general upward trends in the reported statistics of food-poisoning world
wide and emergence of foodborne diseases (e.g Salmonella enteritidis, Campy
lobacter jejuni, Escherichia coli O157:H7, Listeria monocytogenes and Yersi
nia enterocolitica); (2) the strict national and international food safety
and hygiene regulations, including the US Pathogen reduction Act (e.g setti
ng zero tolerance classification by the USDA FSIS of E. coli O157:H7) and i
mplementation of mandatory standards for microorganisms in the recent EEC d
irectives for shell-fish, dairy products and eggs; (3) and the progressive
introduction of a range of quality assurance and quality management program
s (such as BS 5750, ISO 9000 and TQM) to enhance the efficiency and streaml
ine modern food production and distribution systems.
Increasing adoption of the HACCP approach to food production together with
the recent information derived from a range of mathematical models for pred
iction of growth and survival of food-poisoning microorganisms can effectiv
ely reduce the potential risks by microbial contamination. Microbiological
testing should be considered in the context of properly evaluated and imple
mented safety assurance systems. The role of microbiological resting in rel
ation to HACCP has been discussed and considered in detail elsewhere (Hall
1994).
Over the past ten years, a plethora of new methods for the microbiological
examination of food has become available. The performance of these methods,
outside of the originating laboratory, has to be effective and reliable, a
nd this can only be assessed by proper validation of the methods. Validated
methods are used by food control laboratories to analyze commodities to ve
rify regulatory compliance. There are several international schemes availab
le for validation of modern microbiological methods, including AOAC Interna
tional, IDF procedures, EMMAS and Microval (Anon. 1996). In order to produc
e consistently reliable data, a laboratory must ensure appropriate quality
assurance measures are in place. These include fully documented methods, pr
oper trained laboratory staff and participation in a proficiency testing sc
heme, many of which are currently available.