Development of a colloidal gold immunochromatographic strip for the rapid detection of pefloxacin in grass carp with a novel pretreatment method

培氟沙星 色谱法 洛美沙星 化学 检出限 诺氟沙星 氧氟沙星 胶体金 环丙沙星 结合 抗生素 纳米颗粒 纳米技术 材料科学 数学分析 生物化学 数学
作者
Xinghua Zhou,Na Li,Cheng Sun,Xun Zhang,Caiqin Zhang,Jiayu Zhou,Shuoning Guan,Xiang Xiao,Yun Wang
出处
期刊:Journal of Environmental Science and Health Part B-pesticides Food Contaminants and Agricultural Wastes [Informa]
卷期号:57 (7): 517-525 被引量:3
标识
DOI:10.1080/03601234.2022.2068908
摘要

A rapid colloidal gold immunochromatography assay (GICA) for the detection of pefloxacin (PEF) was established and optimized. The anti-PEF monoclonal antibody (mAb) was used to target PEF as a colloidal gold-mAb conjugate. The mAb belonged to the IgG2b subtype, lambda light chain, the affinity constant (Ka) was 5.21 × 109 L·mol-1, and its half maximal inhibitory concentration (IC50) was 0.23 ng·mL-1. No obvious cross-reactivity (CR) was observed with other common fluoroquinolone antibiotics, including ciprofloxacin (CIP), norfloxacin (NOR), lomefloxacin (LOM) and ofloxacin (OFL). The visual limit of detection (vLOD) of the optimized GICA was 2 ng·g-1 under the conventional pretreatment method, and the assay was completed in 15 min. Liquid chromatography tandem-mass spectrometry (LC-MS/MS) was employed to confirm the performance of the strip. In addition, a novel pretreatment was established and compared with conventional pretreatment. Without the removal of organic solvents, the novel pretreatment method reduced the sample pretreatment time (more than 10 min). The vLOD of the optimized GICA was also 2 ng·g-1 when applying the novel pretreatment method. In conclusion, the proposed PEF-GICA could detect samples containing PEF rapidly and accurately, and the novel pretreatment method saved the time of sample pretreatment and improved the efficiency of detection.

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
刚刚
1秒前
paixxxxx完成签到,获得积分10
1秒前
CodeCraft应助zzzwww采纳,获得10
1秒前
1秒前
2秒前
2秒前
2秒前
哈哈哈哈哈哈完成签到 ,获得积分10
2秒前
王楠楠完成签到 ,获得积分10
3秒前
3秒前
4秒前
5秒前
5秒前
5秒前
酷酷三问发布了新的文献求助10
5秒前
6秒前
6秒前
落后的老太完成签到,获得积分10
6秒前
chen发布了新的文献求助10
6秒前
张欣宇发布了新的文献求助10
7秒前
Abdurrahman完成签到,获得积分10
7秒前
蓝天发布了新的文献求助10
7秒前
硬币完成签到,获得积分10
7秒前
7秒前
8秒前
8秒前
科研求求你嘛完成签到,获得积分10
8秒前
愉快的苑博完成签到,获得积分10
9秒前
次一口多多完成签到,获得积分10
9秒前
9秒前
xx发布了新的文献求助10
9秒前
量子星尘发布了新的文献求助10
9秒前
liu发布了新的文献求助10
10秒前
yordeabese完成签到,获得积分10
10秒前
Ava应助轩辕雨文采纳,获得20
10秒前
10秒前
10秒前
Shalala完成签到,获得积分10
11秒前
11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
Basic And Clinical Science Course 2025-2026 3000
Encyclopedia of Agriculture and Food Systems Third Edition 2000
人脑智能与人工智能 1000
花の香りの秘密―遺伝子情報から機能性まで 800
Principles of Plasma Discharges and Materials Processing, 3rd Edition 400
Pharmacology for Chemists: Drug Discovery in Context 400
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 5608315
求助须知:如何正确求助?哪些是违规求助? 4692918
关于积分的说明 14876115
捐赠科研通 4717325
什么是DOI,文献DOI怎么找? 2544189
邀请新用户注册赠送积分活动 1509187
关于科研通互助平台的介绍 1472836