Detection of the origin of animal species in kebab meat using mitochondrial DNA based -polymerase chain reaction (mtDNA-PCR)

线粒体DNA 聚合酶链反应 细胞色素b 食品科学 动物种类 生物 肉类包装业 基因 遗传学 动物
作者
Khulod Ibraheem Hassan,Bana Mohamed Ali,Nurlgn Mohammed
出处
期刊:Iraqi journal of Veterinary Sciences [University of Mosul, College of Veterinary Medicine]
卷期号:33 (1): 39-43 被引量:2
标识
DOI:10.33899/ijvs.2019.125516.1038
摘要

Adulteration and incorrect labeling of meat products became a matter of great concerns of religious, economical, legal and medical aspects. Among meat products, kebab is considered one of the most favorable in Iraq, which makes it prone to adulteration. This study was carried out to evaluate the quality of kebab by detecting the origin of animal species meat in it; using mitochondrial DNA (mtDNA) based Polymerase Chain Reaction (PCR) under laboratory conditions. For this purpose kebab was prepared as per the standardized processing schedule using pure mutton and beef meat in ratio 80:20 and chicken meat in five ratios ;70:20:10, 65:20:15, 60:20:20,55:20:25 and 50:20:30, respectively. DNA was extracted successfully from pure species meat and from all mixed kebab above, then PCR was carried out using species-specific primers, to amplify mitochondrial cytochrome b (cyt b) gene. The results revealed specific amplified fragments with 133, 300 and 585 bp for pure chicken, beef and sheep, respectively, and in the mixed grilled samples, the detection limit of chicken was 10%, indicating that the cooking (grinding) and addition of non-meat ingredients showed no effect on the detection of meat species. The results of this study proved mtDNA-PCR to be effective and reliable for detecting the origin of animal species meat . This method of detection could be applied in quality control laboratories for detect adulteration in different kinds of traditional grilled kebab in Iraqi restaurants.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
滨滨发布了新的文献求助10
1秒前
Shine发布了新的文献求助10
2秒前
hqh发布了新的文献求助30
2秒前
kma发布了新的文献求助10
3秒前
Ava应助小蛇玩采纳,获得10
5秒前
语雪完成签到,获得积分10
5秒前
6秒前
胡梦祥发布了新的文献求助10
6秒前
正在下雨完成签到,获得积分10
9秒前
量子星尘发布了新的文献求助10
9秒前
大个应助bird采纳,获得10
9秒前
9秒前
77qoq完成签到 ,获得积分20
10秒前
郭濹涵发布了新的文献求助10
11秒前
任性的蝴蝶完成签到,获得积分10
11秒前
he啊哈哈关注了科研通微信公众号
11秒前
12秒前
12秒前
小二郎应助林高高采纳,获得10
13秒前
搜集达人应助林高高采纳,获得10
13秒前
搜集达人应助林高高采纳,获得10
13秒前
orixero应助林高高采纳,获得10
13秒前
14秒前
小马甲应助林高高采纳,获得10
14秒前
14秒前
五五乐发布了新的文献求助10
14秒前
量子星尘发布了新的文献求助10
14秒前
han发布了新的文献求助10
14秒前
15秒前
科研通AI6.1应助12rcli采纳,获得10
17秒前
17秒前
冷傲雪糕发布了新的文献求助10
17秒前
小蛇玩发布了新的文献求助10
17秒前
SciGPT应助环糊精采纳,获得10
17秒前
有终完成签到 ,获得积分10
18秒前
文麒发布了新的文献求助20
18秒前
19秒前
ln完成签到 ,获得积分10
20秒前
量子星尘发布了新的文献求助10
21秒前
李哈哈发布了新的文献求助10
21秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Encyclopedia of Forensic and Legal Medicine Third Edition 5000
Agyptische Geschichte der 21.30. Dynastie 2000
中国脑卒中防治报告 1000
Variants in Economic Theory 1000
Global Ingredients & Formulations Guide 2014, Hardcover 1000
Research for Social Workers 1000
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5820503
求助须知:如何正确求助?哪些是违规求助? 5967298
关于积分的说明 15555116
捐赠科研通 4942274
什么是DOI,文献DOI怎么找? 2661925
邀请新用户注册赠送积分活动 1608173
关于科研通互助平台的介绍 1563089