The objective of this study is to establish the shelf life of non-pasteurized whole egg, egg yolk and egg white liquid. Each sample was stored for two weeks at 5oC, 10oC, 15oC, and 25oC, and then sensory, microbial, and physicochemical tests were performed periodically. The estimation of shelf life was based on the microbial standards of total viable counts and coliforms. The chemical properties highly correlated with the sensory evaluation were also used. Our results showed that the shelf life was the most influenced by microbial properties. Exceptionally, however, whole egg and white liquid stored at 5oC and 10oC with limited bacterial growth were affected by chemical property. The shelf life of the three non-pasteurized liquids was calculated to be less than one day at over 15oC. At 5oC and 10oC, the shelf life was calculated to be 5 d and 1 d for egg yolk liquid, 5 d and 5 d for egg white, and 7 d and 5 d for whole egg, respectively. Therefore, it is advisable to establish reasonable shelf life in the more specific manner based on consideration of these findings.

본 연구에서는 단일 시료를 검사하는 식품공전의 방법을 통계적 개념인 n, c, m, M을 도입하여 국제기준에 발 맞춘 시스템을 확립하고자 식품 중 미생물 오염실태 조사 및 기준·규격 재평가를 실시하였다. 즉석섭취·편의식품 류에 대한 미생물의 오염도 조사를 위한 모니터링을 실시 하였으며, 이를 바탕으로 통계적 개념을 도입하여 새로운 기준·규격을 마련하고자 하였다. 즉석섭취·편의식품류 총 2,040건(즉석섭취식품 630건, 즉석조리식품1,020건, 신 선편의식품390건)을 구입하여 일반세균수, 대장균군, E. coli, B. cereus, S. aureus, C. perfringens 에 대한 모니터 링을 진행하였다. 즉석섭취·편의식품류의 일반세균수는 평균 2.10 log CFU/ g, 대장균군은 평균 −0.60 log CFU/g, E.coli은 평균 −1.33 log CFU/g, B.cereus은 평균 −1.23 log CFU/g으로 검출되었 으며, S.aureus은 신선편의식품에서만 평균 −1.35 log CFU/ g, C. perfringens은 즉석조리식품에서만 평균 −1.37 log CFU/g 검출되었다. 일반세균수, B. cereus, S. aureus, C. perfringens은 현 기준규격을 초과하지 않은 것으로 나타났으나, 신선편의식품에 한하여 E. coli 는 34건이 식품기 준 및 규격을 초과 하였다. 즉석섭취·편의식품류의 모니 터링 결과를 바탕으로 Newsamplesplan 2 프로그램을 활용하여 이론적 규격을 도출하였다. 오염 분포도가 넓어 사 실상 규격 마련의 실효성이 없는 것으로 파악되었고, 대장균은 즉석섭취식품 및 즉석조리식품에서 n=5 c=1 m=0 M=10으로, 신선편의식품에서는 n=5 c=1 m=10 M=100으로 이론적 규격이 필요할 것으로 판단된다.

본 연구에서는 국내 대표 식육인 소, 돼지, 닭, 오리의4종 식육과 염소, 양, 말, 칠면조의 4종 식육을 동시에 신속하게 감별할 수 있는 2 set의 multiplex PCR법을 개발하고자 미토콘드리아 16S RNA에서 종 특이부위를 선발하고 각 종에 대한 특이도를 높이기 위하여 인위적인 미스매치를 주어 프라이머를 제작한 후 8종 식육의 274개시료를 대상으로 특이도와 민감도를 조사하였다. 그 결과소, 돼지, 닭, 오리 모든 시료에서 각각 279, 94, 192, 477 bp의 증폭산물이, 말, 양, 염소, 칠면조의 모든 시료에서 각각 152 bp, 271 bp, 670 bp, 469 bp에서 뚜렷한 PCR 유전자 산물이 확인되어 모든 축종에서 100%의 특이도를 나타내어 축종별 감별력이 우수한 것으로 나타났다. 8종의 축종별로 DNA를 10 ng/μl으로 정량한 후 혼합물을 10배씩 단계 희석하여 반응여부를 조사한 결과, 소, 돼지, 오리에서는 100 fg까지, 닭에서는 1 pg까지 검출됨을 확인할수 있었다. 소, 돼지, 닭, 오리고기를 99.9%, 99%, 90%,70%, 50%, 30%, 10%, 1%, 0.1%의 비율로 혼합한 식육과 83℃ 20분, 100℃ 30분, 121℃ 10분에서 각각 열처리한 가열 혼합육에 대하여 검출한계를 조사한 결과 마지막단계의 희석 비율인 모든 혼합육의 0.1%에서 검출이 가능하였으며, 열처리 혼합육에서는 닭에서는 1% 농도에서소와 돼지의 혼합육에서 0.1% 농도에서 검출되어 민감도가 높음을 확인할 수 있었다. 본 연구에서 개발된 multiplex PCR법은 특이도 및 민감도에 있어서 국내 대표 식육을 감별하는데 있어서 유용한 것으로 평가된다.

In this study, two commercial PCR and ELISA test kits were examined for identification of eight animal species (beef, pork, chicken, duck, turkey, goat, lamb, and horse) from raw meat and meat products in Korea. The detection limit in RAW meat ELISA kit® on three types of meat samples blended with beef, pork and chicken, demonstrated that all meat species were differentiable down to 0.2%. RAW meat ELISA kit® on animal species resulted in differentiation rate of 94.5% for beef, 93.3% for pork, 90% for lamb, and 100% for chicken, duck, turkey, goat, and horse. In contrast, Powercheck Animal Species ID PCR kitTM resulted in 100% specificity at 0.05% limit of detection for all meat species. The detection limit of Cooked Meat ELISA kit® on mixed meat samples heat-treated with different temperatures and times, resulted in 0.1% for all heat-treated mixed meat except for chicken at 1.0%. Additionally, ELISA kit on sixty meat products resulted in specificity of 31.8% for ham, 13.6% for sausages, and 12.5% for ground processed products, and relatively low rate for more than 2 types of mixed meats. On the contrary, meat species differentiation using PCR kit showed higher percentage than that using ELISA kit®: 50.0% for ham, 41.7% for sausages, and 28.6% for ground processed meat. Futhermore, PCR kit on 54 dried beef meats detected pork genes in 13 products whereas ELISA kit showed negative results for all products. Hence, the possibility of cross-contamination during manufacturing process was investigated, and it was found that identical tumblers, straining trays, cutters and dryers were used in both beef and pork jerky production line, suggesting the inclusion of pork genes in beef products due to cross-contamination. In this study, PCR and ELISA test kits were found to be excellent methods for meat species differentiation in raw meat and heat-processed mixed meat. However, lower differentiation rate demonstrated in case of meat processed products raised the possibility of inclusion of other species due to cross-contamination during manufacturing process.

We compared between an automated most-probable-number technique TEMPO®TVC and traditional plating methods PetrifilmTM for estimating populations of total aerobic bacteria in various livestock products. 257 samples randomly selected in local retail stores and 87 samples inoculated with E. coli ATCC 25922, Staphylococcus aureus ATCC 12868 were tested in this study. The degree of agreement was estimated according to the CCFRA (Campden and Chorleywood Food Research Association Group) Guideline 29 and the agreement indicates the difference of two kinds methods is lower than 1 log base 10(log10). The samples of hams, jerky products, ground meat products, milks, ice creams, infant formulas, and egg heat formed products were showed above 95% in the agreement of methods. In contrast, proportion of agreement on meat extract products, cheeses and sausages were 93.1%, 92.1%, 89.1%, respectively. One press ham and five sausages containing spice and seasoning, two pork cutlets containing spice and bread crumbs, two meat extract product and two natural cheeses and one processing cheese with a high fat content, and one ice cream containing chocolate of all samples showed the discrepancy. Our result suggest that TEMPO®TVC system is efficient to analyses total aerobic bacteria to compare manual method in time-consuming and laborious process except livestock products having limit of detection.

We investigated the prevalence of the Listeria monocytogenes from livestock processed products in processing plants and retail markets of Korea from 2010 to 2011. A total of 1,380 samples were collected; Meat processed products such as cooked ham and sausage, jerked meat, and meat extract products. Milk processed products such as milk, butter, cheese, and ice cream. Egg processed products such as whole egg liquid and pidan. L. monocytogenes were isolated from samples using listeria enrichment broth, fraser broth and Oxford agar, and counted in Oxford agar. The three of L. monocytogenes strains (1.16%) were isolated from sausages, two (0.73%) from mixed pressed ham and one (0.51%) from jerked meat, respectively. The colony forming unit (CFU) of L. monocytogenes from all samples were below 10 CFU/g. The four isolates (66.6%) were 1/2b except two isolates (1/2a) in the serotypes. Further studies are needed to understand the transmission route of L. monocytogenes, including a survey of food handlers, environments of retail markets, and all potential risk factors in cooked sausages, mixed pressed hams, and jerked meat processing.

To evaluate the performance of a new automated coliform enumeration system (TEMPO® CC) for the quantitative test of coliform bacteria contaminated in domestic livestock processed foods, a total of 507 samples of livestock foods were tested by the TEMPO® CC method, the most probable number (MPN) method, and Petrifilm method, respectively. The results of those three methods were compared to each other. Of 507 samples of livestock processed foods used in this study, 217 samples were contaminated artificially with coliform bacteria and the rest (n=290) were contaminated naturally. The results of the TEMPO® CC method for all samples were equivalent to those obtained from the MPN method, except 8 samples. In addition, 496 (97.8%) out of 507 samples made agreement between the TEMPO® CC method and the Petrifilm method. The correlation coefficients between TEMPO® CC and MPN methods as well as between TEMPO® CC method and Petrifilm method were above 0.9, and the slope and intercept of the linear regression model was different in less than 1 value. In conclusion, there were statistically equivalent levels of performance between the TEMPO® CC and the reference and alternative methods for the enumeration of coliform bacteria in livestock processed foods in this study.

Three-hundred samples of powdered infant formula milk and related products from four different manufacturers in 2010 were collected and surveyed their contaminations for aerobic bacteria, coliform, Enterobacter (Cronobacter) sakazakii, and food-borne pathogens. Fifteen samples of sterilized infant formula milk were all negative on these microorganisms. In all collected products of unsterilized infant formulas and follow-on infant formulas,aerobic bacteria were detected at 239 (83.9%) among 285 samples, and they all were found below 10³ cfu/g. Coliform bacteria were also detected at four among 285 samples. Salmonella spp. and Ent. sakazakii, weren't detected at the all samples. Bacillus cereus was detected at 24 (8.4%) among 285 samples. The level of B. cereus was below 100 cfu/g but it was suitable for the range of specification of B. cereus in infant formulas. Clostridium perfringens, Escherichia coli O157:H7, Staphylococcus aureus and Listeria monocytogenes weren't also detected. In consequence, it was suitable for total viable count, coliform and potential pathogen to the specification of infant formulas and related products.

We constructed a standard curve to quantify Listeria monocytogenes in ready-to-eat product, especially sausage samples, using real-time PCR. A standard curve was generated using serially diluted L. monocytogenes cells in distilled water. When cells were artificially inoculated in 10 g of sausage samples in 90㎖ buffered peptone water, the cell concentration of range was approximately 1.0×108 to 100 CFU/㎖. The standard curve of the serially diluted cells was linear for at least seven orders of magnitude from 103 to 109 CFU/㎖ of L. monocytogenes. When cells were diluted in sausages, the linearity range was from 104 to 108 CFU/㎖. The correlation coefficient (R2) of diluted cells was 0.9888 and the slope of the curve was —2.6621. The coefficient and slope of inoculated samples were 0.9916 and —2.747, respectively. The R2 value for serially diluted L. monocytogenes and artificially contaminated sausage samples were acceptable. The approach described in this study represents the potency of the quantification of L. monocytogenes in sausage samples by quantitative real-time PCR. It can be used in monitoring the presence and persistence of this pathogen in sausages.

For the screening of Brucella antibodies in pig, 2,140 pig serum samples were collected from six slaughter house in Korea between 2006 and 2007. The Rose Bengal test (RBT) and serum agglutination test (SAT) were used for initial screening for specific antibodies to Brucella, and competitive enzyme-linked immunosorbent assay (C-ELISA) was used for confirmation of presence of serum antibody for Brucella. Overall, 575 (26.9%) samples resulted in seropositive in RBT. In SAT, 50 (2.3%) and 10 (0.5%) samples showed suspicious positive and positive reaction, respectively, however, all sera tested in this study showed a negative reaction in C-ELISA. SAT and C-ELISA might be applicable as a tool for screening of swine brucellosis.

To determine the prevalence of Campylobacter jejuni and Campylobacter coli in meats, a total of 4,161 samples (1,953 domestic and 2,208 imported) were collected from 304 slaughterhouses nationwide and registered cold storages for imported meats in Korea during 2005～2009. The isolation rates of C. jejuni and C. coli in domestic beef, pork, chicken and duck meats were 0.1% (1/630), 0% (0/630), and 0.1% (1/644), 0% (0/644) and 20.5% (125/609), 10.2% (62/609) and 25.7% (18/70), 20.0% (14/70), respectively. In the case of imported meats, C. jejuni were isolated from 0.1% (1/943) and 15.2% (83/546) of pork and chicken meats, respectively, and C. coli were detected only from 4.8% (26/546) of chicken meats. Neither C. jejuni nor C. coli were detected from imported beef, and C. coli were also not detected from imported pork. In conclusion, chicken meats had much higher rate of contamination with Campylobacter compared to beef and pork. Therefore, HACCP system that is now mandatory for slaughterhouses should be actively practiced for safe and sanitary processing, handling, and marketing of chicken meats. In addition, all critical control points should be determined by processing procedures at processing plants as well as farms and slaughterhouses, and monitoring should be carried out at regular intervals.

  In this paper, we propose sludge collection strategies which allocate each sewage store of village to sewage treatment plants and decide the schedule of sludge collection in order to collect sludge efficiently. The strategies aim to decrease transportat

본 연구는 국내에서 유통되고 있는 국화 147품종을 수집하 여 국화 품종의 식별을 위한 SSR 분자표지의 선발 및 이를 이용한 품종별 DNA profile 데이터베이스를 구축하기 위해 수행하였다. 품종식별에 적합한 분자표지를 선정하기 위해 20 개 품종을 대상으로 총 587개의 SSR 분자표지를 검정하여 다형성을 나타내는 27개의 분자표지를 선발하였다. 27개의 분자표지 중 다형성, 재현성, 반복성, 대립유전자 패턴 등을 종합적으로 고려하여 14개의 SSR 분자표지를 데이터베이스 구축에 활용할 마커로 최종 선발하였고 이를 이용하여 국화 147품종에 대한 SSR 분자표지 데이터베이스를 구축하였다. 국화 147 품종을 14개의 SSR 분자표지로 분석한 결과 대립 유전자 수는 79개, 마커별 대립유전자의 분포는 3 ~ 10개로 분포하였고, 분자표지 당 평균 대립 유전자의 수는 5.6개로 나타났다. PIC 값은 0.287 ~ 0.785 범위에 분포하였으며, 평 균값은 0.598로 분석되었다. 국화 147품종에 대한 덴드로그 램을 작성하였을 때 공시품종의 유전적 거리는 0.44 ~ 1.00 범위로 나타났으며, 147품종 중 143품종은 14개 SSR 분자표 지에 의해 식별이 되었으나, 돌연변이 육종법 또는 자연변이 를 통해 육성된 2품종은 원품종과 구분이 되지 않았다. 본 연구에 의해 구축된 국화 품종별 SSR 분자표지 데이터베이스 는 국화 출원품종의 대조품종 선정과 품종보호권 침해 및 종 자분쟁 발생시 유용하게 활용될 수 있을 것으로 사료된다.