Recent Advances and Perspectives on the Sources and Detection of Antibiotics in Aquatic Environments

环境科学 污水 水质 水生生态系统 水产养殖 污水处理 废水 污染 生化工程 环境工程 生态学 生物 渔业 工程类
作者
Yanbo Zeng,Fengqin Chang,Qi Liu,Lizeng Duan,Donglin Li,Hucai Zhang
出处
期刊:Journal of analytical methods in chemistry [Hindawi Publishing Corporation]
卷期号:2022: 1-14 被引量:28
标识
DOI:10.1155/2022/5091181
摘要

Water quality and safety are vital to the ecological environment, social development, and ecological susceptibility. The extensive use and continuous discharge of antibiotics have caused serious water pollution; antibiotics are widely found in freshwater, drinking water, and reservoirs; and this pollution has become a common phenomenon and challenge in global water ecosystems, as water polluted by antibiotics poses serious risks to human health and the ecological environment. Therefore, the antibiotic content in water should be identified, monitored, and eliminated. Nevertheless, there is no single method that can detect all different types of antibiotics, so various techniques are often combined to produce reliable results. This review summarizes the sources of antibiotic pollution in water, covering three main aspects: (1) wastewater discharges from domestic sewage, (2) medical wastewater, and (3) animal physiology and aquaculture. The existing analytical techniques, including extraction techniques, conventional detection methods, and biosensors, are reviewed. The electrochemical biosensors have become a research hotspot in recent years because of their rapid detection, high efficiency, and portability, and the use of nanoparticles contributes to these outstanding qualities. Additionally, the comprehensive quality evaluation of various detection methods, including the linear detection range, detection limit (LOD), and recovery rate, is discussed, and the future of this research field is also prospected.
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
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
syangZ完成签到,获得积分10
刚刚
Simran发布了新的文献求助100
1秒前
哼哼哈嘿完成签到,获得积分10
1秒前
彭于晏应助毛慢慢采纳,获得10
2秒前
随机昵称完成签到,获得积分20
3秒前
3秒前
丘比特应助我爱电解液采纳,获得10
3秒前
3秒前
Lucas应助浩二采纳,获得10
4秒前
5秒前
jify完成签到,获得积分10
5秒前
吴炫完成签到,获得积分10
5秒前
科研通AI5应助DAYTOY采纳,获得10
5秒前
领导范儿应助哼哼哈嘿采纳,获得10
5秒前
zzzzz完成签到,获得积分10
6秒前
纪间完成签到,获得积分10
6秒前
机灵石头完成签到,获得积分10
6秒前
7秒前
大方友容关注了科研通微信公众号
7秒前
小蘑菇应助科研牛马采纳,获得10
8秒前
江阳宏完成签到,获得积分10
9秒前
科研小民工应助wangfaqing942采纳,获得40
9秒前
桐桐应助独特的翠芙采纳,获得10
9秒前
慕青应助独白。采纳,获得10
9秒前
星辰大海应助Danae采纳,获得10
9秒前
最佳损友完成签到,获得积分10
10秒前
10秒前
小鹿完成签到,获得积分10
11秒前
温暖芷文完成签到,获得积分10
11秒前
轻松幼丝完成签到,获得积分10
11秒前
12秒前
混沌完成签到,获得积分10
13秒前
13秒前
zyzzyzzyz发布了新的文献求助10
14秒前
CT民工完成签到,获得积分10
15秒前
樊如南-老程完成签到,获得积分10
15秒前
15秒前
BoBO完成签到,获得积分20
15秒前
hdh完成签到,获得积分10
15秒前
15秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Machine Learning Methods in Geoscience 1000
Resilience of a Nation: A History of the Military in Rwanda 888
Essentials of Performance Analysis in Sport 500
Measure Mean Linear Intercept 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3729613
求助须知:如何正确求助?哪些是违规求助? 3274653
关于积分的说明 9987684
捐赠科研通 2989926
什么是DOI,文献DOI怎么找? 1640809
邀请新用户注册赠送积分活动 779408
科研通“疑难数据库(出版商)”最低求助积分说明 748217