The purpose of this study was to examine the appearance of norovirus in the water for food in food service institutions and the influence of physicochemical and microbial factors of norovirus in order to work out basic data to predict the detection of norovirus. Among 82 samples of water for food in food service institutions, norovirus appeared in 7 samples and the rate of appearance was 8.5%. As for the type of norovirus, one samples contained GI type (genotype GI-6) and six samples contained GII type (genotype GII-2, GII-4, GII-12). In the regression model of prediction of norovirus, the rate of appearance was correlated with NH₃-N, total solids and the consumption of KMnO₄, out of such variables as NH₃-N, total solids, the consumption of KMnO4, depth, chloride and total colony counts, and its contribution rate for effectiveness was 78.60%. In order to examine the influential factor of environment upon the detection of norovirus, Pearson's correlation analysis was carried out. The predictable regression formula for appearance rate of norovirus was expressed as -1.818 + 42.677 [NH₃-N] + 0.023 [total solids] + 0.762[consumption of KMnO₄] -0.009 [depth] -0.146 [chloride] + 0.007 [total colony counts] (R = 0.904, R² = 0.818,adjusted R² = 0.786, p < 0.05). The most influential factors upon the detection of norovirus were NH₃-N, total solids and the consumption of KMnO₄. In other words, when the measured values of NH₃-N, total solids and the consumption of KMnO₄ were higher, the possibility of appearance of norovirus increased.

본 연구는 PIT tag (passive integrated transponder)과 무선추적법(radio telemetry)을 오대산국립공원과 월악산국립공원에 서식하고 있는 파충류에 적용한 후, 이를 평가하여 효과적으로 국립공원 내 파충류 자원관리 방안을 모색하기 위하여 수행되었다. PIT tag은 현재까지 알려진 파충류 개체표시법 중에서 가장 효과적인 방법으로 2006년 3월부터 2008년 10월까지 오대산국립공원과 월악산국립공원의 조사지역에 출현한

Patulin, a mycotoxin mainly produced by Penicillium and Aspergillus, is found in various foods. In the present, a maximum acceptable level for patulin is established at 50 μg/kg(ppb) in apple juices and apple concentrates in Korea. But patulin may be detected in foods produced with other fruits. In the present study, patulin contamination was analyzed in 520 samples of fruit juices and beverages, and 50 samples of fruit juice concentrates. High performance liquid chromatography(HPLC) was applied to quantitatively analyze patulin levels in samples and liquid chromatography-mass spectrometry(LC/MS/MS) was used to remove false positive results. The results showed that three samples of 520 fruit juices and beverages and five samples of 50 fruit juice concentrates were contaminated by patulin, 9.8 - 18.0 μg/kg and 4.7 - 18.2 μg/kg respectively. Contaminated samples were produced with apple, orange or pear. This indicates that it is necessary to extend the regulatory range of patulin. In the other hands, the present study confirmed the effectiveness of LC/MS/MS analytical method to remove false positive results.