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        검색결과 3

        1.
        2020.06 KCI 등재 구독 인증기관 무료, 개인회원 유료
        경기 북부 내 직거래 매장에서 유통 되는 농산물 207건을 수거하여 잔류농약의 실태를 조사하였다. 로컬푸드와 소비자생활협동조합(생협) 매장을 대상으로 일반농산물 94 건, 친환경농산물 113건의 다소비 채소류를 수거하여 다종농약다성분 분석법으로 GC/ECD, GC/NPD, GC-MS/MS, LC/PDA, LC/FLD, LC-MS/MS를 이용하여 263종의 농약을 분석하였다. 잔류농약이 검출된 검체는 모두 로컬푸드 매장에서 수거한 일반 농산물로 14건의(6.8%) 시료에서 잔류농약이 검출되었고, 그 중 1건에서(0.5%) 잔류농약허 용기준을 초과하였다. 총 16개 농약성분이 검출되었고 검 출된 작물은 시금치, 얼갈이, 깻잎, 아욱, 오이, 부추, 미나리였다. 농약 검출량을 바탕으로 일일섭취추정량(EDI)과 일일섭취허용량(ADI)을 이용하여 위해성 평가를 하였으며, %ADI 값의 범위는 0.0134-61.6259%로 안전한 수준이었다.
        4,000원
        2.
        2013.10 구독 인증기관·개인회원 무료
        Sacbrood virus (SBV) is one of the most destructive honey bee virus. The virus causes failure to pupate and kills honey bee larvae. The infacted larvae`s color is change to brown. At the end, honey bee colony is destructed. Recently Korean Scabrood virus(KSBV) caused a great loss of Korean honey bee(Apis cerena) colonies for short period. Therefore, We need a highly rapid diagnosis method for rapid detection of KSBV. In this study, We need amicro-scale chip-based real-time PCR system (GeneChecker®). This system was developed for rapid, specific PCR based diagnosis. This system has uncommonly fast heating and cooling system. So We was able to detecting of KSBV in Apis cerena in short time. This system needs small reaction volume(total 10ul). This volume include SsoFast™ Evagreen Supermix and serially diluted cDNA templates showed a high sensitivity of 101copies.That machine can setting each PCR stage time. A specific detection primer set (KSBV-123-F/R) was used to amplify a unique 123bp DNA fragment. This PCR assays using serially diluted cDNA templates showed a high sensitivity of 101 copies. When applied to KSBV-positve samples, the result showed high specifity. The minimum diagnosis time was 9m 47s (30cycle). The amplied positive samples appear red fluorescent color. This novel detection method could be used a PCR-based diagnositic tool (GeneChecker®). The results showed high sensitivity and specifity in short time. And this diagnosis method is expected to be applied to rapidly detect various pathogens.