This study assessed effective strategies to reduce the sodium intake among consumers using pork cutlet sauce as a model food system. Original pork cutlet sauce and sodium-reduced sauce (29% reduced by a salt substitute) were analyzed to characterize the sensory properties using descriptive analysis. The effects of sodium-reduction of the sauce, consumer type (nutrition teachers vs. general consumers), information related to the sodium content, serving method, and consumer’s health, taste and sodium-related attitudes on the consumer’s preference, perception, and intake of the sauce were analyzed using a consumer test. In descriptive analysis, the original and sodium-reduced sauce showed similar sensory characteristics but did not differ in saltiness. In the consumer test, there were no significant differences in the overall preference levels between the two sauces. On the other hand, there were significant differences in preference and perception between nutrition teachers and general consumer groups, which were due largely to their age as well as the health and sodium-related attitudes and nutritional knowledge differences. Sodium-reduced information decreased the perceived saltiness intensity. In addition, reducing sodium intake by serving pork cutlet sauce in a bottle can be an effective strategy because this serving method increased the acceptance and induced the smaller intake of sauce.

For the development of processed food for hypoglcemia, it is important to construct model system to confirm factors that reduce the glycemic index in real food. This study was to investigate the relationship between the gel model system and real food the high amylose type of segoami using response surface methodology. The independent variables were concentration (X1; 10, 15, 20, 25, and 30%) and steaming time (X2; 30, 35, 40, 45, and 50 min). The predicted glycemic index (Y1) was analyzed as a dependent variable. The regression of pGI was 0.7343, indicating that the model fits the data well in the prediction test. The predict glycemic index of the gel was in the range of 71.38 ~ 83.78, depending on the gel preparation conditions and predicted optimum condition was 23.7% gel concentration and 43.8 minutes of gelatinization. The predict glycemic index of rice gel were decreased with an increase of gel concentration, rather than the steaming time. In order to confirm the effect on in vitro digestibility in real food, the real food (Garraedduk) was prepared by applying the optimal conditions. As a result, there was no significant difference between the predicted value (77.1) and the experiment value (76.6). This result showed that the in vitro digestibility in real food can be predicted by applying the gel model system.

동결 건조된 죽력을 물 또는 50% ethanol에 각각 용해시킨 시료(1 mg eq./disc)에 대하여 항세균 활성을 측정한 결과, 물에 용해시킨 죽력은 gram 양성균의 경우 L. monocytogenes이 15 mm의 저해환으로 가장 활성이 강하였고 B. subtilis는 활성이 전혀 나타나지 않았으며 Gram 음성균의 경우는 S. dysenteriae가 저해환이 22 mm로 가장 강한 활성을 보였다. 50% ethanol에 용해시킨 죽력은 gram 양성균의 경우 L. monocytodenes, 가 가장 강한 활성을 보였으나 B. subtilis는 활성이 전혀 없던 물에 용해시킨 경우에 비하여 활성이 크게 나타났다. Gram 음성균의 경우, S. dysenteriae가 23 mm저해 환으로 가장 강한 활성을 보였고 V. parahaemolyticus, V. vulnificus, E. coli O157:H7는 16 mm로 상대적으로 약한 활성을 보였다. 젖산균 2종의 경우는 물 또는 50% ethanol에 용해시킨 경우 모두 전혀 활성을 나타내지 않았다. 최소저해농도는 L. monocytogenes는 50% ethanol에 녹인 경우 MIC가 0.6 mg/disc로 가장 낮았고 물에 용해시킨 죽력의 경우 S. epidermides, S. dysenteriae, L. monocytogenes, Sal. typhimurium, V. parahaemolyticus가 각각 0.8 mg/disc의 MIC값을 나타내 50% ethanol에 용해시킨 경우에 비하여 MIC값이 높은 경향을 보였으며 다른 세균들은 1.0 mg/disc의 거의 유사한 MIC값을 보였다. Model food system에서의 저해활성은 물에 용해시킨 죽력 보다 50%, ethanol에 용해시킨 죽력이 대조구에 비하여 생육을 강하게 저해하였고 MIC가 낮은 이들 4가지 공시균주들이 모두 model food system상에서 상당히 강한 저해활성을 나타내 50% ethanol에 용해시킨 죽력은 적절한 농도에서 부패세균들의 생육 억제제로 사용 가능할 것으로 사료되었다.

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.