已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

A Review of Veterinary Drug Residue Detection: Recent Advancements, Challenges, and Future Directions

兽药 兽药 牲畜 兽医学 生物技术 农业 食品安全 药品 畜牧业 人类健康 动物健康 风险分析(工程) 业务 医学 环境卫生 药理学 生物 病理 化学 生态学 色谱法
作者
Haoting Wu,Zhao Jun,Jianqing Wan
出处
期刊:Sustainability [MDPI AG]
卷期号:15 (13): 10413-10413 被引量:1
标识
DOI:10.3390/su151310413
摘要

Veterinary drug residues of common food (milk, meat) have posed serious threats to the environment and human health, making the quality and safety of agricultural, livestock, and aquatic products increasingly prominent. With the widespread use of veterinary drugs and the requirements for food safety, it has become urgent to detect veterinary drug residues in animal-derived foods. So far, few studies have systematically reviewed the progresses, challenges, and future directions in veterinary drug residue detection. A thorough review on the current advancements, challenges, and potential future directions of veterinary drug residue detection will be extremely beneficial and timely. This study reviewed recent developments of detection technology of veterinary drug residues. The current issues and challenges in veterinary drug residue detection were examined and highlighted. Finally, future proposals on directions and prospects for veterinary drug residue detection were suggested. High-throughput and high-sensitivity veterinary drug detection technology, sample pretreatment technology for rapid processing, and the fusion of multiple detection methods were recommended as the main directions for the future development of veterinary drug residue detection. It was suggested to develop the analysis and detection technologies of veterinary drug residue towards high automation, high sensitivity, and high throughput in the future. This review provides new ideas and strategies for the rapid development of animal husbandry industry and protecting consumers’ physical health and food safety.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
李思发布了新的文献求助10
刚刚
赵振辉发布了新的文献求助10
刚刚
周密524完成签到,获得积分10
2秒前
慕青应助大鲟采纳,获得10
4秒前
8秒前
思源应助yanzu采纳,获得10
12秒前
scanker1981完成签到,获得积分10
13秒前
heyunhua23发布了新的文献求助10
13秒前
张文静发布了新的文献求助10
14秒前
14秒前
15秒前
Akim应助沙半鬼采纳,获得10
15秒前
19秒前
20秒前
21秒前
e任思完成签到 ,获得积分10
22秒前
bluebluehuan发布了新的文献求助10
22秒前
向善而为发布了新的文献求助10
23秒前
wab完成签到,获得积分0
23秒前
yanzu发布了新的文献求助10
24秒前
小马宝莉完成签到 ,获得积分10
25秒前
李健应助过时的芸采纳,获得10
28秒前
29秒前
30秒前
研友_VZG7GZ应助伍美华采纳,获得10
31秒前
Fan发布了新的文献求助30
33秒前
Hello应助科研通管家采纳,获得30
33秒前
34秒前
bkagyin应助科研通管家采纳,获得10
34秒前
嗯哼应助科研通管家采纳,获得20
34秒前
34秒前
上官若男应助科研通管家采纳,获得10
34秒前
Hello应助科研通管家采纳,获得10
34秒前
34秒前
Dali完成签到,获得积分10
36秒前
38秒前
39秒前
39秒前
40秒前
orange完成签到,获得积分10
40秒前
高分求助中
Production Logging: Theoretical and Interpretive Elements 2000
Very-high-order BVD Schemes Using β-variable THINC Method 1200
BIOLOGY OF NON-CHORDATES 1000
进口的时尚——14世纪东方丝绸与意大利艺术 Imported Fashion:Oriental Silks and Italian Arts in the 14th Century 800
Autoregulatory progressive resistance exercise: linear versus a velocity-based flexible model 550
Education and Upward Social Mobility in China: Imagining Positive Sociology with Bourdieu 500
Zeitschrift für Orient-Archäologie 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3353291
求助须知:如何正确求助?哪些是违规求助? 2977976
关于积分的说明 8683081
捐赠科研通 2659190
什么是DOI,文献DOI怎么找? 1456109
科研通“疑难数据库(出版商)”最低求助积分说明 674264
邀请新用户注册赠送积分活动 664978