Detection of Escherichia coli O157:H7 Using Automated Immunomagnetic Separation and Enzyme-Based Colorimetric Assay

免疫磁选 色谱法 细菌 大肠杆菌 化学 溶解 检出限 比色法 样品制备 生物 生物化学 基因 遗传学
作者
Ji Young Park,Kisang Park,Gyeongsik Ok,Hyun‐Joo Chang,Tae Jung Park,Sung‐Wook Choi,Min‐Cheol Lim
出处
期刊:Sensors [Multidisciplinary Digital Publishing Institute]
卷期号:20 (5): 1395-1395 被引量:40
标识
DOI:10.3390/s20051395
摘要

The food industry requires rapid and simple detection methods for preventing harm from pathogenic bacteria. Until now, various technologies used to detect foodborne bacteria were time-consuming and laborious. Therefore, we have developed an automated immunomagnetic separation combined with a colorimetric assay for the rapid detection of E. coli O157:H7 in food samples. The colorimetric detection method using enzymatic reaction is fascinating because of its simplicity and rapidity and does not need sophisticated devices. Moreover, the proposed procedures for the detection of bacteria in food take less than 3 h including pre-enrichment, separation and detection steps. First, target-specific immunomagnetic beads were introduced to contaminated milk in a pre-enrichment step. Second, the pre-enriched sample solution containing target bacteria bound on immunomagnetic beads was injected into an automated pretreatment system. Subsequently, the immunomagnetic beads along with target bacteria were separated and concentrated into a recovery tube. Finally, released β-galactosidase from E. coli O157:H7 after lysis was reacted with chlorophenol red β-galactopyranoside (CPRG) used as a substrate and the colorimetric change of CPRG was determined by absorbance measuring or the naked eye. By the proposed approach in this study, we could detect 3 × 102 CFU/mL of E. coli O157:H7 from a milk sample within 3 h.
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
CodeCraft的应助被研友_LOK59L采纳,获得10
1秒前
4秒前
4秒前
Arlen完成签到,获得积分10
4秒前
6秒前
Yui关注了科研通微信公众号
7秒前
天天学习完成签到,获得积分10
7秒前
Pululuu发布了新的文献求助10
8秒前
9秒前
李健的应助被Luvletter采纳,获得10
9秒前
苶凉发布了新的文献求助10
9秒前
虚幻雨完成签到,获得积分10
9秒前
PUU完成签到 ,获得积分10
10秒前
10秒前
10秒前
niki完成签到,获得积分10
11秒前
11秒前
谨慎青枫的应助被默默然采纳,获得10
12秒前
希望天下0贩的0的应助被HuBasya采纳,获得10
13秒前
Andrew发布了新的文献求助50
14秒前
春风十里完成签到,获得积分10
14秒前
15秒前
FashionBoy的应助被周易采纳,获得10
15秒前
威武的翠绿完成签到,获得积分10
15秒前
Tonald Yang发布了新的文献求助10
16秒前
WF发布了新的文献求助10
16秒前
mumumumumumu发布了新的文献求助10
17秒前
wuyongxiang发布了新的文献求助10
17秒前
yang完成签到,获得积分10
17秒前
17秒前
赘婿的应助被Orange采纳,获得10
18秒前
19秒前
春风十里发布了新的文献求助10
19秒前
kk发布了新的文献求助10
20秒前
hua完成签到,获得积分10
20秒前
meng发布了新的文献求助10
21秒前
22秒前
kk完成签到,获得积分10
24秒前
KhalilHao完成签到 ,获得积分10
25秒前
老的火龙果的应助被苶凉采纳,获得10
25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
自動車の空力技術 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Issues in Task-Based Language Teaching 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7783638
求助须知:如何正确求助?哪些是违规求助? 9322927
关于积分的说明 20392349
捐赠科研通 7372274
什么是DOI,文献DOI怎么找? 3320727
关于科研通互助平台的介绍 2468728
邀请新用户注册赠送积分活动 2336951