Construction of a risk assessment system for chemical residues in agricultural products

Shinai Choi,Jiyeon Hong,Dayeon Lee,Minkyoung Paik 환경독성보건학회 2014 환경독성보건학회지 Vol.29 No.-

Objectives : Continuous monitoring of chemical residues in agricultural and food products has been performed by various government bodies in South Korea. These bodies have made attempts to systematically manage this information by creating a monitoring database system as well as a system based on these data with which to assess the health risk of chemical residues in agricultural products. Methods : Meanwhile, a database system is being constructed consisting of information about monitoring and, following this, a demand for convenience has led to the need for an evaluation tool to be constructed with the data processing system. Results : Also, in order to create a systematic and effective tool for the risk assessment of chemical residues in foods and agricultural products, various evaluation models are being developed, both domestically and abroad. Overseas, systems such as Dietary Exposure Evaluation Model: Food Commodity Intake Database and Cumulative and Aggregate Risk Evaluation System are being used; these use the US Environmental Protection Agency as a focus, while the EU has developed Pesticide Residue Intake Model for assessments of pesticide exposure through food intake. Following this, the National Academy of Agricultural Science (NAAS) created the Agricultural Products Risk Assessment System (APRAS) which supports the use and storage of monitoring information and risk assessments. APRAS efficiently manages the monitoring data produced by NAAS and creates an extraction feature included in the database system. Also, the database system in APRAS consists of a monitoring database system held by the NAAS and food consumption database system. Food consumption data is based on Korea National Health and Nutrition Examination Survey. Conclusions : This system is aimed at exposure and risk assessments for chemical residues in agricultural products with regards to different exposure scenarios.

Construction of risk assessment system on chemical residue in agricultural products

Shinai Choi(최시내),Jiyeon Hong(홍지연),Dayeon Lee(이다연),Minkyoung Paik(백민경),Kyunghun park(박경훈) 환경독성보건학회 2014 한국독성학회 심포지움 및 학술발표회 Vol.2014 No.11

Food value chain의 글로벌 동향과 식품안전

최시내(Choi, Shinai) 한국식품과학회 2013 식품과학과 산업 Vol.46 No.1

농업환경중 화학물질의 위해성평가시스템 구축

최시내(Shinai Choi),백민경(Min-Kyoung Paik),박병준(Byung-Jun Park) 환경독성보건학회 2016 한국독성학회 심포지움 및 학술발표회 Vol.2016 No.10

농업환경 및 농산물의 통합 노출평가 시스템 확립 및 적용

최시내 ( Shinai Choi ),백민경 ( Min-kyoung Paik ),박병준 ( Byung-jun Park ) 한국환경농학회 2017 한국환경농학회 학술대회집 Vol.2017 No.-

위해성평가 업무를 효율적으로 수행하고, 그간 축적된 농업환경 및 농산물중 유해화학물질 모니터 링자료의 보관과 활용을 지원하기 위한 시스템으로 APRAS를 개발하였다. APRAS는 국립농업과학원에 서 보유하고 있는 모니터링 데이터를 기반으로 한 모니터링 데이터베이스 시스템과 국내에서 생산되고 있는 식품소비량자료 중 현재 가장 높은 활용도를 보이고 있는 국민건강영양조사 데이터를 기반으로 한 식품소비량 데이터베이스 시스템으로 이루어져 있다. 본 시스템은 주요 데이터베이스시스템으로부터 노출 및 위해평가시 노출시나리오에 따라 추출가능하도록 하여, 평가목적에 맞는 노출평가와 위해평가가 가능하도록 개발된 시스템이다. 본 시스템은 생산된 잔류모니터링 데이터의 축적과 데이터의 효율적인 연계성을 고려하여 웹기반으로 개발되었고, 위해성평가시스템은 농산물중 잔류화학물 질의 위해성평가를 위한 노출시나리오 구축에 따른 변수 설정과 연계가 이루어지고, 위해도를 예측할 수 있도록 하였다. 또한, 농산물과 관련한 환경매체(토양 및 수질)에서의 잔류량 모니터링 데이터베이스를 포함할 수 있도록 확장시키고, 위해성평가 모듈을 probabilistic approach을 통한 분포추정이 가 능하도록 하였다. APRAS was developed to efficiently carry out risk assessment and support the storage and utilization of the previously accumulated monitoring data of hazardous chemical residues in the agricultural environment and products. APRAS consists of two database systems, the monitoring data in the NAAS and a food consumption database based on the NHNES data. This system is designed to extract data from major database systems relevant to a given exposure scenario so that proper exposure and risk assessment can be performed to achieve evaluation objectives. For the accumulation of the currently available data and efficient data connectivity, the system was developed to be web-based. The risk assessment system sets and associates parameters according to an exposure scenario constructed to evaluate the risk of agricultural chemical residues and predicts corresponding risk. In addition, APRAS was developed to incorporate monitoring databases of the residues and their quantities in the environmental media related to agricultural products, such as soil and water, and the risk assessment module can provide an estimated prediction through a probabilistic approach.

농산물중 잔류화학물질의 위해평가 및 관리시스템 구축

최시내(Shinai, Choi),홍지연(jiyeon, Hong),백민경(Min-Kyoung, Paik) 환경독성보건학회 2013 한국독성학회 심포지움 및 학술발표회 Vol.2013 No.10

Occurrence and risk characterization of non-nutritive sweeteners in selected food products from Korea

강현희,윤충인,Shinai Choi,오금순,김영준 한국식품과학회 2022 Food Science and Biotechnology Vol.31 No.1

Non-nutritive sweeteners (NNS) are food additives that impart a sweet taste to food product with lower calories. Acesulfame potassium, aspartame, sodium saccharin, sucralose, steviol glycosides and enzymatically modified stevia are permitted in Korea. The study established the method of each NNS and applied it to each food items consumed in Korea. For risk assessments, the estimated daily intake (EDI) value for each NNS was calculated. EDI values of NNS were compared directly with each ADI (acceptable daily intake). The total estimated daily intake ranges by age compared with the % ADI were 0.12–0.53, 0.93–1.68, 0.05–0.20, 0.06–0.42 and 0.17–0.98% for acesulfame potassium, sodium saccharin, aspartame, sucralose and sum of stevioside and rebaudioside A, which were based on the overall averages. It can be concluded that the daily dietary intake of each of the five NNS is at a safe level when considered as a proportion of the ADI.

Dietary Intake and Risk Evaluation of Pesticide in Korean Foods

Chang-Hwan Oh,Shinai Choi,Jong-Sei Park,Ju-Seok Moon,Cho-Il Kim,Haeng-Shin Lee,Meehye Kim,Jongok Lee,Mooki Hong 한국농약과학회 2003 한국농약과학회 학술발표대회 논문집 Vol.- No.-

Residue and risk assessment of polychlorinated dibenzo-p-dioxins and dibenzofurans in the Korean population

Park JongSei,Oh ChangHwan,Na TaeHwa,Choi Shinai,Kang YounSeok 大韓藥學會 2001 大韓藥學會 總會 및 學術大會 Vol.2001 No.2

식품중 미생물 위해성평가 방법론 연구

김길생,이효민,임철주,권오란,최시내,윤은경,홍지연 식품의약품안전청 1998 식품의약품안전청 연보 Vol.2 No.-

최근 국내에서는 Sgcfericfia cofi 0157 : 딘T, 교leferia monoefofeH쁠등의 미생물페 대한 건강웨해성이 강조되면서 미생물 위해성평가에 대한 찔요성이 제기되고 있고, If.5.FOA, U-5.DA, FAO/WHO를 비롯한.국제기구 및 외국 유관기관들께서도 미생물 위해성평가빙법을 식품관리에 활용코자 방뻔론 연구에 주력하고 있다. 미생물 위험성은 화학 물질과 달리 인체건강에 대한 영창이 즉각적이고, 심각하게 나타나 껑량적인 위해성평가가 용이하지 않고 유해화학물 질과는 다른 평가방법이 요구된다. 식품중 미생물의 위해썽평가는 크게 4단계로 구분되는데, 미생물관련질환 추세락악 및 미생물 관련질병에 관한 역학조사등을 활웅하는 위험성확인 잔계와 실제 식품원료, 식품가공, 순송, 포장단계중식품의 물리적, 화학적 조건에 파른 미생물 변화를 고려하여 식품중 미생물에 대한 노출을 정량화하는 노출평가 단계, 미생물의 용량에 따른 꼰병발생에 근거하여 용량-반응관계를 규명하는 용략-반응평가 단계, 곤명된 모질을 활용하여 모든 평가결과를 통합하므로 위해도치 예측과 불확실성분석등을 수챙하는 위해도결정단계로 구성되어 있다. 미생물 용량-반응평가는 크게 비역치(Nonthreshold) 및 역치(Threshold) 정가 방법론으로 구분되는데, 비역치평가방법론은 단일 병원균이 감염을 일으킬 수 있다는 것과 김염을 일으킬수 있는 확률이 독립적이라는 가정을 전제로 하고, 역 치평가방법론은 미생물이 감염을 일으키기 위해서 각기 개별 역치가 존재하는데 어느 정도의 미생물 수가 모여 서로 작용해야 독성운발물질을 만들어 낸다는 가정을 전제로 한짜. 현재 발아들여지고 있는 비역치 모질로는 Exponential,Beta-polsson, Gomperts, Gamma-weibull모델등이 있으며, 역치모질로는 Log-normal. Log-logistic 모질등이 있다. 본 연구에서는 인체 v01un01 자료를 활용하여 충량-반응자료를 입력하고 용량-반응자료를 토대로 적합한 수학적 모델을 찾아내어 , 선별한 모질의 적합도검정을 실시하는 방법론 연구를 실시하였으며, 노출평가 자료와 용량-반응평가 결과를 연계하여 위체도를 결정하는 과정에 대해 연구하였다. 이 밖에도 모질(Food MicroModel·)을 이용하여 식품의 NaCl. wateractivity,온도, pH 둥의 조건에 따른 미생물의 성장를,사멸률 등 변화를 예측할 수 있는 방럽론 연구를 통해 식품의 최적보관조건등을 찾아내는 방법을 습득하였다. 미생물 위해성평가는 외국에서도 아직 초기연구단계에 있으며 현재로서 사후조사자료인 역학자료보다 건강한 성인남자를 대상으로 한 volunteer 자료를 우선 sensitivity를 비교할 수 있는 기초자료를 확보하므로써 미생물께 대한 인구집단의 반응 민감성 차이를 비교하교, 시료채취후 즉각적인 실험실적분억이 가능토록하여 정확한 인체노출평가를 수행하므주싸 미생물 위해성평가방법론을 식 품미생물관리에 적용하는 것이다. Recently, it is continuously rising to concern about the health risk being induced by rnicreorganisrns in food such as Srcberichia cofi 0157 : HT and ttsferia moooefog☞ns. Various orgaBisationsand regulatory ageacies fncluding U.S.EPA,0.5.DA and FAO/WHO are preparing the methodologybuilding to apply microbial quantitative risk assessnlent to risk-based food safety program. Microbialrisks are primsrily the result of single exposvre and its health impacts are imnlediate and serious.Therefore, the methodology of risBt assessmeBt di(fers from that of chemical risk assessment. Microbialquantitative risk assessment consists of four steps ; hazard identification, exposure assessment, dose-response assessnlent and risk characterization. Hazard identification is accomplished by observing and 'defining the types of adverse health effects ia hltmaBs associated with exposure to foodborne agents.Epidemiological evidertce which links the various disease with the parti;ular exposure route is an impor-tant compoBent of this identification. Exposure assessment includes the quantification of microbiat erfo-sure regarding the dynarnlcs of microbial growth in food processing, transport, paclcaging and specifictime-temperature conditions at various points from animal productiou to consumption. Dose-responseassessruent is the process characterizing dose-response correlatioB betweeu microbial exposure and dis-ease ineidefce. Unlilte chemical carcinogens, the dose-response assessrneBt for microbial pathogens hasnot focufff on animal models for extrapolation to humans. Risk characterisation liuks the exposure as-sessment and dose-respoase assessment and involve uncertainty analysis. The methodologr of microbial dose-response assessment is classified as Bonthreshotd and thresholdapproach.The nonthreshold model have assumption that one organism is capable of producing an infec-tion if it arriues at an appropriate site and organisms have independence. Recently, The ExpoBential,Beta-poissioa, Gompertz, and Gamma-weibvll models are usillg as nonthreshold model. The Log-nerualand Log-logistic models are using as threshold model. The threshold has the assumption that a toxicantis produce by iBteraction of organisms. In this stvdyr it was reviewed detailed process including riskvalue using model paralneter and microbial exposure dose. Also this studr suggested model applicationmethodology in fietd of exposure assessment using assumed food microbial data(Naclf water activity,temperature, pH, etc.) and the conlmercially used Food MicroModel" . We recogniBed that human volun-teer data to t.4e health? man are preferred rather than epidemiological data for obtaining exact dose-response data. But, the foreign agencies are studying the characterization of correlation betf·eon huuanand animal. For the comparison of differences to the population sensitivity, it must be executed domestlcstudy svch as the establishment of dose-response data to the Korean volunteer by eacD microbial andmicrobial exposure assessment in food.