牛奶中残留麻保沙星的微生物学检测方法

doi:10.3969/j.issn.1673-1689.2018.01.018

首页 > 过刊浏览>2018年第37卷第1期 >107-111. DOI:10.3969/j.issn.1673-1689.2018.01.018

牛奶中残留麻保沙星的微生物学检测方法
DOI:
                        10.3969/j.issn.1673-1689.2018.01.018
                    
作者:
                        
                        
                    
作者单位:
作者简介:
通讯作者:
中图分类号:S859.84
基金项目:

Determination of Marbofloxacin Residues in Milk by Microbiological Method

Author:

Affiliation:

Fund Project:

摘要

图/表

访问统计

参考文献

相似文献

引证文献

资源附件

文章评论

摘要:

建立牛奶中残留麻保沙星的微生物学检测方法。试验以金黄色葡萄球菌为敏感菌，采用滤纸片法进行测定，以牛奶为样设计了添加回收试验以证实该方法的有效性。磷酸盐缓冲溶液和牛奶基质麻保沙星标准曲线的工作范围是0.1~1.6 μg/mL，最低检测限为 0.1 μg/mL。对纯牛奶样的3种添加水平，平均回收率范围在77.3%~93.3%之间，变异系数小于7.26%，该方法可以用于牛奶中麻保沙星残留的检测。

Abstract:

To establish a microbiological method for determination of marbofloxacin residues in milk. Marbofloxacin residues in milk was tested using filter paper method based on Staphylococcus selected as a sensitive bacteria，and then the recoveries were performed on milk samples to verify the feasibility of this method. Results：the data showed that the linear range for mornitoring marbofloxacin was from 0.1 μg/mL to 1.6 μg/mL based on phosphate buffer solution and milk matrix. The minimum limit detections of marbofloxacin in phosphate buffer solution and milk matrix were 0.1 μg/mL. The average recovery rates were in the range of 77.3%~93.3% and variation coefficient were less than 7.26% for three spiked levels of Erie milk samples. The obtained method can be feasible to mornitoring marbofloxacin residues in milk.

参考文献

相似文献

引证文献

引用本文

陈秀金,任国艳,许凯旋,崔璨,张永丽,侯玉泽,胥传来,李根.牛奶中残留麻保沙星的微生物学检测方法[J].食品与生物技术学报,2018,37(1):107-111.

CHEN Xiujin, REN Guoyan, XU Kaixuan, CUI Can, ZHANG Yongli, HOU Yuze, XU Chuanlai, LI Gen. Determination of Marbofloxacin Residues in Milk by Microbiological Method[J]. Journal of Food Science and Biotechnology,2018,37(1):107-111.

复制

文章指标

点击次数:
下载次数:
HTML阅读次数:
引用次数:

历史

收稿日期:
最后修改日期:
录用日期:
在线发布日期: 2018-03-08
出版日期:

地址：江苏省无锡市蠡湖大道1800号邮政编码：214122

电话：0510-85913526 电子邮件：xbbjb@jiangnan.edu.cn

技术支持：北京勤云科技发展有限公司

引用本文

分享

文章指标

历史

微信公众号二维码

手机版网站二维码