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논문 기본정보

축산법령 - 축산물 위생관리법 시행규칙

논문 개요

기관명, 저널명, ISSN, ISBN 으로 구성된 논문 개요 표입니다.
기관명 NDSL
저널명 오리마을 = Monthly Duck's Village
ISSN ,
ISBN

논문저자 및 소속기관 정보

저자, 소속기관, 출판인, 간행물 번호, 발행연도, 초록, 원문UR, 첨부파일 순으로 구성된 논문저자 및 소속기관 정보표입니다
저자(한글)
저자(영문)
소속기관
소속기관(영문)
출판인
간행물 번호
발행연도 2016-01-01
초록 This study is aimed to find out distribution status of online-market livestock products by purchasing and examining 120 cases of livestock products (seasoned meat: 17, 33 cases of packaged meat, 23 cases of ground meat, 19 cases of ham, 11 cases of sausage, 4 cases of bacon, 1 case of meat processing, 8 cases of Meat extract processed, and 4 cased of Dry storage of meat) at 17 On-line markets from April to August. 2015. We checked the weight of them first, and carried out ingredients test for each of processed meats. And we performed gene screening test on the products which were labelled 'Hanwoo' to investigate that the products were made of Korean native cattle. we also carried out test of identifying domestic animal species on ham, sausage and ground processed products. After weighing all products, we could know that all of them were delivered more than labelled weight or in allowable error. The result values of test which measured level of preservatives, Nitrite, Volatile Basic Nitrite (VBN), and tar Color by the type of processed meat products were in permissible range or not detected. Also, 17 beefs inspected Korean native cattle gene test were confirmed that they were made by real korean native cattle. But 2 cases of Ham, sausage, and ground processed products had difference between label and goods. In this study, we could make a decision that livestock products, distributed in On-line markets, were safe and expect to make higher degrees of hygiene for livestock products seller. Futhermore, we hoped result of this study could be used by basic data for progressive national policy decisions.
원문URL http://click.ndsl.kr/servlet/OpenAPIDetailView?keyValue=03553784&target=NART&cn=JAKO201650252175106
첨부파일

추가정보

과학기술표준분류, ICT 기술분류,DDC 분류,주제어 (키워드) 순으로 구성된 추가정보표입니다
과학기술표준분류
ICT 기술분류
DDC 분류
주제어 (키워드)