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논문 기본정보

Quantitative detection of pork meat by EvaGreen real-time PCR to assess the authenticity of processed meat products

논문 개요

기관명, 저널명, ISSN, ISBN 으로 구성된 논문 개요 표입니다.
기관명 NDSL
저널명 Food control
ISSN 0956-7135,
ISBN

논문저자 및 소속기관 정보

저자, 소속기관, 출판인, 간행물 번호, 발행연도, 초록, 원문UR, 첨부파일 순으로 구성된 논문저자 및 소속기관 정보표입니다
저자(한글) Amaral, J.S.,Santos, G.,Oliveira, M.B.P.P.,Mafra, I.
저자(영문)
소속기관
소속기관(영문)
출판인
간행물 번호
발행연도 2017-01-01
초록 The development of highly sensitive and quantitative tools to identify undeclared pork meat is very important to authenticate processed meat products and, particularly, in the case of Halal products. Quantitative approaches are crucial to distinguish deliberate adulterations from cross-contaminations. This study intended to develop and validate a novel specific and highly sensitive Evagreen real-time PCR system for pork meat quantification in processed meat products. A normalised assay based on the Delta;Ct method was successfully developed and optimised, allowing the detection and quantification of levels down to 0.0001% and 0.01% (w/w) of pork meat, respectively, in both raw and thermally processed. The method was effectively validated using blind meat mixtures, exhibiting adequate parameters of trueness, precision and repeatability. Its application to several commercial samples, including Halal and regular meat products, showed the presence of undeclared pork species in 54% of the analysed samples, with 40% of Halal products presenting traces of pork, therefore not in good agreement with their label statements.
원문URL http://click.ndsl.kr/servlet/OpenAPIDetailView?keyValue=03553784&target=NART&cn=NART76145893
첨부파일

추가정보

과학기술표준분류, ICT 기술분류,DDC 분류,주제어 (키워드) 순으로 구성된 추가정보표입니다
과학기술표준분류
ICT 기술분류
DDC 분류
주제어 (키워드) Sus scrofa,Meat products,Halal products,Species detection,Quantification,Real-time PCR,Authentication