• 한국축산식품학회지
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• 제35권5호
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• pp.674-682
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• 2015

The objective of this study was to evaluate the risk of illness from Campylobacter spp. on ham. To identify the hazards of Campylobacter spp. on ham, the general characteristics and microbial criteria for Campylobacter spp., and campylobacteriosis outbreaks were investigated. In the exposure assessment, the prevalence of Campylobacter spp. on ham was evaluated, and the probabilistic distributions for the temperature of ham surfaces in retail markets and home refrigerators were prepared. In addition, the raw data from the Korea National Health and Nutrition Examination Survey (KNHNES) 2012 were used to estimate the consumption amount and frequency of ham. In the hazard characterization, the Beta-Poisson model for Campylobacter spp. infection was used. For risk characterization, a simulation model was developed using the collected data, and the risk of Campylobacter spp. on ham was estimated with @RISK. The Campylobacter spp. cell counts on ham samples were below the detection limit (<0.70 Log CFU/g). The daily consumption of ham was 23.93 g per person, and the consumption frequency was 11.57%. The simulated mean value of the initial contamination level of Campylobacter spp. on ham was −3.95 Log CFU/g, and the mean value of ham for probable risk per person per day was 2.20×10⁻¹². It is considered that the risk of foodborne illness for Campylobacter spp. was low. Furthermore, these results indicate that the microbial risk assessment of Campylobacter spp. in this study should be useful in providing scientific evidence to set up the criteria of Campylobacter spp..

• 한국축산식품학회지
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• 제32권1호
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• pp.118-124
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• 2012

본 연구는 햄 및 소시지류에서의 Clostridium perfringens에 대한 정량적 미생물 위해평가(Quantitative microbial risk assessment; QMRA)를 국제기준(Codex)의 원칙과 지침에 따라 수행하였으며, 오염수준에 대한 직접적인 분석결과와 현재의 국내 유통환경, 관련제품의 특성, 섭취량 및 소비행태 등을 반영한 노출평가용 "product-retail-consumption pathway" frame-work 모델을 구성하였고, 이를 바탕으로 엑셀(Excel)기반 노출평가용 시뮬레이션 모델을 개발하여 제시하였다. 개발된 모델을 시뮬레이션 프로그램인 @RISK를 활용하여 위해(risk) 수준을 산출하였으며, 그 결과 국내에서 1일 1인이 햄 및 소시지류의 섭취를 통한 Cl. perfringens에 의한 식중독발생 확률은 평균적으로 $3.97{\times}10^{-11}{\pm}1.80{\times}10^{-9}$으로 추정하였다. 또한 본 연구에서 수행한 QMRA결과를 바탕으로 현재수준에서의 한계점과 미래에 더욱 발전된 국내 QMRA 연구 및 활용을 위한 제언을 추가하였다

• Restorative Dentistry and Endodontics
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• 제49권1호
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• pp.4.1-4.9
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• 2024

Objectives: This study aims to correlate caries-causing microorganism load, lactic acid estimation, and blood groups to high caries risk in diabetic and non-diabetic individuals and low caries risk in healthy individuals. Materials and Methods: This study includes 30 participants divided into 3 groups: Group A, High-risk caries diabetic individuals; Group B, High-risk caries non-diabetic individuals; and Group C, Low-risk caries individuals. The medical condition, oral hygiene, and caries risk assessment (American Dental Association classification and International Caries Detection and Assessment System scoring) were documented. Each individual's 3 mL of saliva was analyzed for microbial load and lactic acid as follows: Part I: 2 mL for microbial quantity estimation using nutrient agar and blood agar medium, biochemical investigation, and carbohydrate fermentation tests; Part II: 0.5 mL for lactic acid estimation using spectrophotometric analysis. Among the selected individuals, blood group correlation was assessed. The χ² test, Kruskal-Wallis test, and post hoc analysis were done using Dunn's test (p < 0.05). Results: Group A had the highest microbial load and lactic acid concentration, followed by Groups B and C. The predominant bacteria were Lactobacilli (63.00 ± 15.49) and Streptococcus mutans (76.00 ± 13.90) in saliva. Blood Group B is prevalent in diabetic and non-diabetic high-risk caries patients but statistically insignificant. Conclusions: Diabetic individuals are more susceptible to dental caries due to high microbial loads and increased lactic acid production. These factors also lower the executing tendency of neutrophils, which accelerates microbial accumulation and increases the risk of caries in diabetic individuals.

• 한국축산식품학회지
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• 제37권4호
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• pp.579-592
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• 2017

This study assessed the quantitative microbial risk of non-enterohemorrhagic Escherichia coli (EHEC). For hazard identification, hazards of non-EHEC E. coli in natural and processed cheeses were identified by research papers. Regarding exposure assessment, non-EHEC E. coli cell counts in cheese were enumerated, and the developed predictive models were used to describe the fates of non-EHEC E. coli strains in cheese during distribution and storage. In addition, data on the amounts and frequency of cheese consumption were collected from the research report of the Ministry of Food and Drug Safety. For hazard characterization, a doseresponse model for non-EHEC E. coli was used. Using the collected data, simulation models were constructed, using software @RISK to calculate the risk of illness per person per day. Non-EHEC E. coli cells in natural- (n=90) and processed-cheese samples (n=308) from factories and markets were not detected. Thus, we estimated the initial levels of contamination by Uniform distribution ${\times}$ Beta distribution, and the levels were -2.35 and -2.73 Log CFU/g for natural and processed cheese, respectively. The proposed predictive models described properly the fates of non-EHEC E. coli during distribution and storage of cheese. For hazard characterization, we used the Beta-Poisson model (${\alpha}=2.21{\times}10^{-1}$, $N_{50}=6.85{\times}10^7$). The results of risk characterization for non-EHEC E. coli in natural and processed cheese were $1.36{\times}10^{-7}$ and $2.12{\times}10^{-10}$ (the mean probability of illness per person per day), respectively. These results indicate that the risk of non-EHEC E. coli foodborne illness can be considered low in present conditions.

• 한국식품위생안전성학회지
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• 제18권3호
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• pp.107-112
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• 2003

미생물학적 위해성평가(Microbial risk assessment: MRA)에서 노출평가시 확률적 접근방법은 식중독 발생에 관련도 많은 위해 미생물의 다양성과 변이성 그리고 불확실성에 대한 분석이 가능하고 과거의 접근방법인 point estiamte보다 훨씬 더 현실성이 반영된 결과를 제공할 수 있어 현재 MRA의 노출평가에서 가장 효과적인 방법으로 인정되고 있다. 본 연구는 MRA 방법론 중 노출평가에서 이용될 수 있는 수학적 확률분포 모델을 이용하여 위해 미생물의 발생수준을 추정하는 방법론을 제시하고, 이를 바탕으로 국내 식육에서의 Listeria monocytogenes에 대한 오염수준을 추정하였으며, 그 결과 국내 식육에서의 L. monocytogenes의 오염수준은 평균($50^{th}$ percentile)-4.08 Log CFU/g이며, 최소($5^{th}$ percentile) -4.88 Log CFU/g, 최대 ($95^{th}$ percentile) -3.56 Log CFU/g의 범위를 갖는 것으로 추정되었다.

• 한국지역사회생활과학회지
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• 제15권2호
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• pp.167-177
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• 2004

미생물 위해성 평가 방법론을 이용하여 살모넬라 발생 수를 추정하고, 기존의 연구 결과와 비교하여 그 활용 가능성에 대해 알아보았다. 살모넬라균의 오염수준은 국내에 발표된 각종 문헌(1997∼2000)과 관련 기관의 모니터링 자료(1999∼2001)를 수집하여 추정하였고, 식품 섭취 량은 2001 국민건강영양조사, 용량-반응 모델은 외국에서 발표된 연구 결과를 이용하였다. 각 변수를 시뮬레이션을 통해 추정한 결과 1년 동안 국내에서 발생 가능한 살모넬라 환자 수는 753,368명으로 나타났는데, 이는 보고된 환자수의 약 115배로 WHO의 추정배수보다는 낮은 결과를 보였다. 이상의 결과를 볼 때, 미생물 위해성 평가 방법은 식중독 발생 환자 수를 추정하고 식중독 관리에 있어서의 우선순위를 결정하는 데 이용이 가능한 것으로 보인다. 그러나 아직까지 검증 방법이 확립되어 있지 않고, 식중독균의 오염농도, 식품 섭취량, 용량-반응 관계, 유통ㆍ보관ㆍ조리 등의 실태에 관한 연구가 좀더 필요할 것으로 생각된다.

• Asian-Australasian Journal of Animal Sciences
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• 제29권8호
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• pp.1188-1196
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• 2016

This study evaluated the risk of Clostridium perfringens (C. perfringens) foodborne illness from natural and processed cheeses. Microbial risk assessment in this study was conducted according to four steps: hazard identification, hazard characterization, exposure assessment, and risk characterization. The hazard identification of C. perfringens on cheese was identified through literature, and dose response models were utilized for hazard characterization of the pathogen. For exposure assessment, the prevalence of C. perfringens, storage temperatures, storage time, and annual amounts of cheese consumption were surveyed. Eventually, a simulation model was developed using the collected data and the simulation result was used to estimate the probability of C. perfringens foodborne illness by cheese consumption with @RISK. C. perfringens was determined to be low risk on cheese based on hazard identification, and the exponential model ($r=1.82{\times}10^{-11}$) was deemed appropriate for hazard characterization. Annual amounts of natural and processed cheese consumption were $12.40{\pm}19.43g$ and $19.46{\pm}14.39g$, respectively. Since the contamination levels of C. perfringens on natural (0.30 Log CFU/g) and processed cheeses (0.45 Log CFU/g) were below the detection limit, the initial contamination levels of natural and processed cheeses were estimated by beta distribution (${\alpha}1=1$, ${\alpha}2=91$; ${\alpha}1=1$, ${\alpha}2=309$)${\times}$uniform distribution (a = 0, b = 2; a = 0, b = 2.8) to be -2.35 and -2.73 Log CFU/g, respectively. Moreover, no growth of C. perfringens was observed for exposure assessment to simulated conditions of distribution and storage. These data were used for risk characterization by a simulation model, and the mean values of the probability of C. perfringens foodborne illness by cheese consumption per person per day for natural and processed cheeses were $9.57{\times}10^{-14}$ and $3.58{\times}10^{-14}$, respectively. These results indicate that probability of C. perfringens foodborne illness by consumption cheese is low, and it can be used to establish microbial criteria for C. perfringens on natural and processed cheeses.

• 한국식품위생안전성학회:학술대회논문집
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• 한국식품위생안전성학회 2005년도 추계 국제심포지움 및 정기학술발표회
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• pp.159-173
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• 2005

• 한국식품위생안전성학회지
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• 제19권1호
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• pp.19-24
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• 2004

미생물 위해성 평가의 용량-반응 모델은 생물학적 모델과 경험적 모델로 나눌 수 있다. 생물학적 모델은 미생물의 분포형태, 미생물에 대한 숙주의 감수성, 감염을 일으킬 수 있는 미생물 수에 대한 가정을 바탕으로 성립된 모델로서, 대표적으로 Exponential model과 $\beta$-Poisson model이 있다. 경험적 모델은 주로 화학물질의 독성을 나타내는데 이용되어 온 모델로, Weibull-Gamma model등이 있다. 여러 용량-반응 모델 중에서 실험 데이터에 적합한 모델을 걱정하는 데에는 deviance function(Y)을 이용하며, 현재 일부 식중독균에 대해서는 사람과 실험동물에서의 용량-반응 모델이 연구되어 있다.

• Fisheries and Aquatic Sciences
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• 제25권9호
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• pp.463-472
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• 2022

In this study, a microbial risk assessment was performed for the bacteria Vibrio parahaemolyticus, which causes a foodborne illness following the consumption of Jeotgal, a fermented seafood in South Korea. The assessment comprised of six stages: product, market, home, consumption, dose-response, and risk. The initial contamination level (IC) was calculated based on the prevalence of V. parahaemolyticus in 90 Jeotgal samples. The kinetic behavior of V. parahaemolyticus was described using predictive models. The data on transportation conditions from manufacturer to market and home were collected through personal communication and from previous studies. Data for the Jeotgal consumption status were obtained, and an appropriate probability distribution was established. The simulation models responding to the scenario were analyzed using the @RISK program. The IC of V. parahaemolyticus was estimated using beta distribution [Beta (1, 91)]. The cell counts during transportation were estimated using Weibull and polynomial models [δ = 1 / (0.0718 - 0.0097 × T + 0.0005 × T²)], while the probability distributions for time and temperature were estimated using Pert, Weibull, Uniform, and LogLogistic distributions. Daily average consumption amounts were assessed using the Pareto distribution [0.60284,1.32,Risk Truncate(0,155)]. The results indicated that the risk of V. parahaemolyticus infection through Jeotgal consumption is low in South Korea.