Light scattering sensor for direct identification of colonies of Escherichia coli serogroups O26, O45, O103, O111, O121, O145 and O157.
Light scattering sensor for direct identification of colonies of Escherichia coli serogroups O26, O45, O103, O111, O121, O145 and O157.
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光散射传感器直接鉴定大肠杆菌血清群O26，O45，O103，O111，O121，O145和O157。
DOI：
10.1371/journal.pone.0105272
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发表时间：
2014
期刊：
影响因子：
3.7
通讯作者：
Bhunia AK
中科院分区：
文献类型：
--
作者：
Tang Y;Kim H;Singh AK;Aroonnual A;Bae E;Rajwa B;Fratamico PM;Bhunia AK
产志贺毒素大肠埃希菌（STEC）是近年来发现的重要食源性致病菌，其中O26、O 45、O 103、O 111、O 121、O 145、O 157等7个血清群是最常见的致病菌。目的是确定光散射传感器是否可用于快速鉴定选择性琼脂平板上的STEC血清群菌落。最初，代表7个血清型的总共37个STEC菌株在四种不同的选择性琼脂培养基上生长，包括山梨醇MacConkey（SMAC）、彩虹琼脂O 157、BBL CHROMagarO 157和R&F E。coli O 157：H7和非选择性脑心浸液琼脂。通过被称为BARDOT（使用光学散射技术的细菌快速检测）的自动光散射传感器扫描菌落，以获取STEC血清群的散射模式，并使用图像分类器分析散射模式。在所有测试的选择性培养基中，SMAC和Rainbow均提供了最好的分化结果，允许在生长10-12小时后以超过90%的平均准确度对所有血清型进行多类分类，即使在生长的早期阶段殖民地外观是不可区分的。选择SMAC进行详尽的散射图像库开发，并检查了O 157：H7和11个非O 157血清型的36个额外菌株，每个血清群产生独特的差异散射模式。还测试了来自纯培养物和混合培养物的样品以及实验接种的食物样品的菌落散射图像。在天然背景微生物群存在的情况下，BARDOT在不到24小时的时间内从混合培养物以及接种的生菜和碎牛肉（10小时肉汤富集+12小时平板孵育）中准确检测到O 157和O26血清型。BARDOT可作为筛选工具，在选择性琼脂平板上从食物样品中分离最重要的STEC血清型，时间少于24 h。
Shiga-toxin producing Escherichia coli (STEC) have emerged as important foodborne pathogens, among which seven serogroups (O26, O45, O103, O111, O121, O145, O157) are most frequently implicated in human infection. The aim was to determine if a light scattering sensor can be used to rapidly identify the colonies of STEC serogroups on selective agar plates. Initially, a total of 37 STEC strains representing seven serovars were grown on four different selective agar media, including sorbitol MacConkey (SMAC), Rainbow Agar O157, BBL CHROMagarO157, and R&F E. coli O157:H7, as well as nonselective Brain Heart Infusion agar. The colonies were scanned by an automated light scattering sensor, known as BARDOT (BActerial Rapid Detection using Optical scattering Technology), to acquire scatter patterns of STEC serogroups, and the scatter patterns were analyzed using an image classifier. Among all of the selective media tested, both SMAC and Rainbow provided the best differentiation results allowing multi-class classification of all serovars with an average accuracy of more than 90% after 10–12 h of growth, even though the colony appearance was indistinguishable at that early stage of growth. SMAC was chosen for exhaustive scatter image library development, and 36 additional strains of O157:H7 and 11 non-O157 serovars were examined, with each serogroup producing unique differential scatter patterns. Colony scatter images were also tested with samples derived from pure and mixed cultures, as well as experimentally inoculated food samples. BARDOT accurately detected O157 and O26 serovars from a mixed culture and also from inoculated lettuce and ground beef (10-h broth enrichment +12-h on-plate incubation) in the presence of natural background microbiota in less than 24 h. BARDOT could potentially be used as a screening tool during isolation of the most important STEC serovars on selective agar plates from food samples in less than 24 h.
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影响因子：
12.6
作者：
Banada, Padmapriya P.;Huff, Karleigh;Bhunia, Arun K.
通讯作者：
Bhunia, Arun K.
影响因子：
3.2
作者：
Hasman, H;Schembri, MA;Klemm, P
通讯作者：
Klemm, P
影响因子：
11.8
作者：
Ethelberg, Steen;Smith, Birgitte;Molbak, Kare
通讯作者：
Molbak, Kare
影响因子：
2.2
作者：
Hegde, Narasimha V.;Praul, Craig;DebRoy, Chitrita
通讯作者：
DebRoy, Chitrita
DOI：
10.1111/j.1439-0450.2006.00968.x
发表时间：
2006-09-01
期刊：
JOURNAL OF VETERINARY MEDICINE SERIES B-INFECTIOUS DISEASES AND VETERINARY PUBLIC HEALTH
影响因子：
--
作者：
Beutin, L.
通讯作者：
Beutin, L.