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소규모 가공경영체 떡류의 생산과정에 따른 미생물학적 품질조사를 위한 모니터링
한상하,김경준,변계환,김덕현,최송이,하상도,Han, Sangha,Kim, Kyeongjun,Byun, Kye-Hwan,Kim, Duk-Hyun,Choi, Song-yi,Ha, Sang-do 한국식품위생안전성학회 2021 한국식품위생안전성학회지 Vol.36 No.5
편의식 소비가 증가하는 식문화가 정착되면서 쌀의 소비형태가 전통적인 쌀밥에서 편의식 가공제품 형태로 변화되면서 떡류는 훌륭한 대체재로 자리 잡아가고 있다. 하지만 대부분의 떡은 소규모의 영세한 업체에서 제조되고 있으며 구입 후 별도의 조리과정 없이 그대로 섭취하므로 떡의 미생물학적 안전성에 대한 우려가 증가되는 추세이다. 따라서 본 연구는 떡류에서 발생하는 미생물학적 안전성을 개선하고자 소규모 업체의 떡류, 생산 환경 및 작업자의 미생물 오염도를 조사하였다. 3가지 떡(가래떡, 인절미, 경단)을 선정하여 원료, 제조공정 및 제조환경에 대한 미생물 오염도를 측정한 결과, 6가지 원재료에서 일반세균 3.76-4.48, 대장균군 2.21-4.14, B. cereus 1.02-1.15 log CFU/g 수준으로 검출되었고, E. coli는 검출되지 않았다. 떡의 제조공정별 오염도 분석결과, 세척과정 후 원재료의 일반세균, 대장균군 및 B. cereus의 오염도가 감소하였지만 불림, 분쇄공정에서 다시 증가하였고, 증자 후에는 3종류의 떡에서 모두 검출한계 이하의 수준을 보였다. 그러나 증자 이후 성형 및 냉각과정을 거치면서 오염도가 다시 증가하여 이 과정에서 냉각수 및 성형떡의 고물관리에 대한 주의를 시사하였다. 떡의 제조환경에 대한 미생물학적 오염도 분석결과, 쌀 분쇄기 및 떡고물 작업환경에 대한 오염 수준이 높게 나타났으며, 성형기에서도 일반세균, 대장균 및 B. cereus가 검출되어 작업환경에서의 기구 및 제조설비 관리가 필요하였다. 제조설비 및 환경에서의 오염은 원재료와의 교차오염을 일으킬 수 있으므로 체계적인 세척 및 소독 등으로 미생물학적 위해를 감소시켜야 할 것으로 사료된다. The purpose of this study was to evaluate the microbial contamination level of Korean traditional rice cakes (Garaetteok, Injeolmi, Gyeongdan), as well as manufacturing environment of small-sized businesses in Korea. The contamination levels of total aerobic bacteria, coliforms, and Bacillus cereus in raw materials were 3.76-4.48, 2.21-4.14, and 1.02-1.15 log CFU/g respectively. On the other hand, Escherichia coli was not found. It has been found that the contamination level of total aerobic bacteria, coliforms, and B. cereus in the raw material decreased after the washing process, but it increased again during the soaking and grinding process. However, after the steaming stage, the contamination level increased again during the molding and cooling process, suggesting the need to take cautions in managing cooling water and molded rice cakes in the process. These results suggest that the safe management of cooling water and taking cautions in the drying process after steaming of rice cakes are necessary for controlling cross-contamination. No E. coli was detected during the manufacturing process involving all tested rice cakes. The microbial contamination level of manufacturing environment such as rice grinder and rice cake forming machine was high. Therefore, in terms of food safety strategy, it is necessary to consider introducing systematic cleansing and disinfection procedure to processing equipment and environment for the sake of reducing microbiological risks.
우유 및 유제품의 안전성 평가를 위한 바이오센서의 이용
김현욱 ( Hyoun Wook Kim ),한상하 ( Sang Ha Han ),함준상 ( Jun Sang Ham ),설국환 ( Kuk Hwan Seol ),장애라 ( Ae Ra Jang,),김동훈 ( Dong Hun Kim ),오미화 ( Mi Hwa Oh ) 한국유가공기술과학회 2011 Journal of Dairy Science and Biotechnology (JMSB) Vol.29 No.2
Milk and dairy products are nutritionally one of the most important food in human health and the quality of raw milk is significantly important to ensure safety of dairy products. However, milk and dairy products are commonly related with chemical and microbial contaminations. Therefore, rapid and reliable detection of hazardous (e.g. pathogenic bacteria, pesticides, antibiotics, microbial toxins) in milk and dairy products is essential to ensure human health and food safety. Conventional methods for detection of food hazardous are mostly time-consuming to yield a results. Recently, biosensors have been focused as its rapidity and high sensitivity to analyse chemical and microbial hazardous from a variety of foods and environments. This study reviewed the recent trends and applications of biosensors as rapid detection method of hazardous in milk and dairy products.
김소영 ( So Young Kim ),오상석 ( Sang Suk Oh ),함준상 ( Jun Sang Ham ),설국환 ( Kuk Hwan Seol ),김현욱 ( Hyoun Wook Kim ),한상하 ( Sang Ha Han ),최은영 ( Eun Young Choi ),박범영 ( Beom Young Park ),오미화 ( Mi Hwa Oh ) 한국유가공기술과학회 2012 Journal of Dairy Science and Biotechnology (JMSB) Vol.30 No.1
Since the prevalence of allergies is increasing, food allergy is a major concern for consumers, as well as for the food industry. The foods that account for over 90% of all moderate to severe allergic reactions to food are milk, eggs, peanuts, soybeans, fish, shellfish, wheat, and tree nuts. Of these food allergens, milk is one of the major animal food allergens in infants and young children. Milk is the first food that an infant is exposed to; therefore, the sensitization rate of milk in sensitive individuals is understandably higher. The mechanisms involved in allergic reactions caused by this hypersensitivity are similar to those of other immune-mediated allergic reactions. The reactions occur in the gastrointestinal tract, skin, and respiratory tract, with headaches and psychological disorders occurring in some instances. The major allergenic proteins in milk are casein, β-lactoglobulin, and α-lactalbumin, while some of the minor allergenic proteins are lactoferrin, bovine serum albumin, and immunoglobulin. Reliable allergen detection and quantification are essential for compliance with food allergen-labeling regulations, which protect the consumer and facilitate international trade.
우유 및 유제품 중 미생물 동정을 위한 MALDI-TOFMS활용
김현욱 ( Hyoun Wook Kim ),함준상 ( Jun Sang Ham ),설국환 ( Kuk Hwan Seol ),한상하 ( Sang Ha Han ),박범영 ( Beam Young Park ),오미화 ( Mi Hwa Oh ) 한국유가공기술과학회 2012 Journal of Dairy Science and Biotechnology (JMSB) Vol.30 No.2
Rapid and reliable identification of microorganisms is a key for tracing the relationship between the target bacteria and related infectious diseases. Various identification methods such as classical phenotypic analysis, numerical taxonomic analysis, and DNA sequencing have been widely used to classify microorganisms in milk and dairy products. Matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometry (MS) identifies targeted bacteria in milk and milk products. Several studies have demonstrated that MALDI-TOF MS identification is an efficient and inexpensive method for the rapid and routine identification of isolated bacteria. MALDI-TOF MS could provide accurate identification of bacteria in milk and milk products at the serotype or strain level and enable antibiotic resistance profiling within minutes.