Quantum dot‐based fluorescence immunosorbent assay for the rapid detection of bacitracin zinc in feed samples

检出限 色谱法 化学 杆菌肽 单克隆抗体 荧光 变异系数 分子生物学 抗体 抗生素 生物 生物化学 免疫学 有机化学 物理 量子力学
作者
Jingming Zhou,Zhuoyang Wang,Wenjing Qian,Chao Liang,Yumei Chen,Hongliang Liu,Yankai Liu,Xifang Zhu,Aiping Wang
出处
期刊:Luminescence [Wiley]
卷期号:37 (8): 1300-1308
标识
DOI:10.1002/bio.4296
摘要

Abstract Bacitracin zinc (BAC), a polypeptide antibiotic, is utilized as a feed additive due to its ability to promote growth in animals. However, the abuse of BAC can lead to a great threat to food safety. Therefore, there is an urgent need to develop a rapid and sensitive detection method. In this study, a monoclonal antibody (mAb) against BAC with excellent sensitivity and specificity was obtained. For the first time, quantum dots (QDs) were conjugated with the prepared mAb against BAC and rabbit anti‐mouse antibody to fabricate a direct and an indirect competitive fluorescence‐linked immunosorbent assay (dc‐FLISA and ic‐FLISA) to detect BAC. The IC 50 of dc‐FLISA and ic‐FLISA were 0.28 ng/ml and 0.17 ng/ml, respectively. The limits of detection were 0.0016 ng/ml and 0.001 ng/ml, respectively, and the detection ranges were 0.0016–46.50 ng/ml and 0.001–35.65 ng/ml, respectively. In addition, the recovery rate of the two methods ranged from 93.5% to 112.0%, and the coefficient of variation (CV) was less than 10%. Therefore, the methods developed in this work have the merits of low cost, simple operation, and high sensitivity, which provide an effective analytical tool for BAC residue detection in feed samples.

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
zzz完成签到,获得积分10
1秒前
weber完成签到 ,获得积分10
1秒前
2秒前
跳跃的夜柳应助肉乎包采纳,获得10
2秒前
2秒前
2秒前
多多发布了新的文献求助10
2秒前
2秒前
与你共奋完成签到,获得积分10
3秒前
3秒前
5秒前
专注汲完成签到,获得积分10
6秒前
6秒前
7秒前
Zoey完成签到,获得积分10
7秒前
Owen应助学术学习采纳,获得10
7秒前
汉堡包应助哈哈采纳,获得10
8秒前
zzq发布了新的文献求助10
8秒前
妩媚的海应助耘山采纳,获得10
8秒前
zlf完成签到,获得积分10
8秒前
ali完成签到,获得积分10
9秒前
Singularity应助79采纳,获得20
9秒前
Matt发布了新的文献求助10
10秒前
我真的写不完了完成签到,获得积分10
10秒前
zxcv完成签到 ,获得积分10
11秒前
纯真玉兰发布了新的文献求助10
13秒前
mookie发布了新的文献求助10
13秒前
上官若男应助彩色凉面采纳,获得10
13秒前
13秒前
14秒前
14秒前
科研通AI6.3应助任伟超采纳,获得10
14秒前
Rsoup完成签到,获得积分10
15秒前
Lucas应助普外科老白采纳,获得10
15秒前
科研通AI6.1应助hcg采纳,获得10
15秒前
16秒前
吃不饱的家惠完成签到,获得积分10
17秒前
科研通AI6.3应助Eric采纳,获得10
18秒前
18秒前
大模型应助kk采纳,获得10
18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
Modern Epidemiology, Fourth Edition 5000
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 2000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Social Cognition: Understanding People and Events 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6031365
求助须知:如何正确求助?哪些是违规求助? 7712545
关于积分的说明 16196527
捐赠科研通 5178169
什么是DOI,文献DOI怎么找? 2771095
邀请新用户注册赠送积分活动 1754471
关于科研通互助平台的介绍 1639656