In this study, occurrence of aflatoxin M₁ (AFM₁) in domestic milk and milk products was determined. The level of AFM₁ in market milk (0.047 ppb) was lower than that in raw milk (0.083 ppb) but this looks like that is due to dilution in collecting process rather than the effect of sterilization. In the case of nonfat dry milk, level of AFM₁ appeared high by 0.24 ppb but it is thought to be not different from market milk actually because nonfat dry milk is diluted at intake. In the case of ice cream, finished products were contaminated with AFM₁ of 0.020 ppb and also have the possibility of the contamination of AFB₁ due to secondary raw material such as nuts and alinond. On the basis of the results of this study and previous studies, Monte-Carlo simulation is conducted to estimate the contamination level of AFM₁ in domestic market milk. To consider uncertainty and variability fitting procedure was passed through. And we used beta distribution to estimate the prevalence and triangular distribution to estimate the concentration level of AFM₁ in milk. As a result, the 5%, 50% and 95% points of the distribution of the probability of AFM₁ contamination level in milk is 0.0214, 0.0946 and 0.1888 ppb, respectively. Also we estimate that AFM₁ in almost milk was low more than 0.5 ppb that is American acceptable level but 80.4% exceeded far 0.05 ppb that is European standard.

Predictive food microbiology(PFM) is an emerging area of food microbiology since the later 1980's. It does apply mathematical models to predict the responses of microorganism to specified environmental variables. Although, at present, PFM models do not completely developed, models can provide very useful information for microbiological responses in HACCP(Hazard Analysis Critical Control Point) system and Risk Assessment. This study illustrates the possible use of PFM models(PMP: Pathogen Modeling Program win5.1) with milk in several elements in the HACCP system, such as conduction of hazard analysis and determination of CCP(Critical Control Points) and CL(Critical Limits). The factors likely to affect the growth of the pathogens in milk involved storage temperature, pH, Aw and NaCl content. The variable factor was storage temperature at the range of 4-15℃ and the fixed factors were pH 6.7, Aw 0.993 and NaCl 1.3%. PMPwin5.1 calculated generation time, lag phase duration, time to level of infective dose for pathogens across a range of storage temperature. The levels of safety associated with milk which were defined based on various storage temperature as affecting microbial growth according to PMPwin5.1 were classified in $quot;safe temperature zone$quot;, $quot;caution temperature zone$quot; and $quot;danger temperature zone$quot;, respectively. These zone ranges were determined by the lag phase duration and time to level of infective dose based on shelf life of milk, which is required 5 days in domestic legal. These results can be used to conduct a hazard analysis and set the criteria for CCP or CL. Though PFM contains limitation in the use, PFM models can be useful instrument to support of guarantee of food safety.

This study was undertaken to find out distribution and contamination sources of hazardous microbes through microbial hazard analysis on the processing steps of surimi-based imitation crab (SBIC). As a results of analysis of 9 hazardous microbes for 16 raw materials and 8 processing steps, no Samonella spp. and Escherichia coli were detected in all samples. Level and distribution of hazardous microbes in mixed color were similar to those of surimi. Changes of aerobic plate counts (APC), psychrotropic bacteria, coliforms, Staphylococcus aureus and Vibrio parnhaemolyticus showed similar trends at different processing steps. Thermotrophic bacteria and aerobic sporeformers were not detected until mixing step and feeding step, respectively and not reduced after cooking step. According to the comparison of APC at each step, it was suggested that surimi, workers and silent cutter at mixing step, and mixed color, workers and bundler at packaging step were the major contamination sources of bacteria.

This study was undertaken to evaluate microbial risk degree of some processed foods in Korea. In this study the data on the outbreak of foodborne diseases during recent 18 years (1976-1989, 1993-1996. 8) were analyzed. The most frequently isolated pathogens were Salmonella (36.9%); followed Vibrio (22.0%), Staphylococcus (15.7%) and Escherichia coli (13.3%). Outbreak rate of Staphylococcus, Vibrio, E. coli and Salmonella, was 33.0%, 23.5%, 17.5% and 17.1%, respectively. Overall risk degree of pathogens by fatality rate, outbreak rate and pathogen amount for foodborne outbreak was Clostridium, 5, Staphylococcus and Vibrio, 4, Salmonella and E. coli, 3. Based on foodborne pathogens, the risk degree of raw seafoods, raw eggs and processed seafoods were 4, and those of raw meats, Doshiraks and milk products were 3. Also, based on processing characteristics of foods, the risk degree of surimi-based imitation crab was 3. Foods of the highest actual risk degree were raw seafoods and raw eggs (16); followed raw meats (15), surimi-based imitation crab (12), Doshirak (9) and milk products (6).