Rapid identification and classification of Campylobacter spp. using laser optical scattering technology

Rapid identification and classification of Campylobacter spp. using laser optical scattering technology
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DOI:
10.1016/j.fm.2014.11.004
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发表时间:
2015-05-01
期刊:
影响因子:
5.3
通讯作者:
Irwin, Peter L.
Irwin, Peter L.
中科院分区:
农林科学1区
文献类型:
--
作者:
He, Yiping;Reed, Sue;Irwin, Peter L.

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空肠弯曲菌和结肠弯曲菌是引起人类大多数弯曲菌感染的两个重要菌种。弯曲杆菌属的可靠分离和检测。由于复杂食品物质的干扰和该微生物的苛刻生长要求,在这项研究中,一种新的基于生物传感器的检测称为BARDOT(细菌快速检测使用光学散射技术)的高通量筛选弯曲杆菌菌落生长在琼脂平板上,而不破坏完整的菌落。对6909个菌落的光散射谱进行了图像特征分析和主成分分析(PCA)。jejuni和C.大肠杆菌与沙门氏菌属的那些显著不同,大肠杆菌O 157:H7和单核细胞增生李斯特菌。这些微生物的混合培养物的检查显示,85%(34/40)的准确性,从其他三个主要的食源性病原体的基础上,在一个既定的图书馆的散射模式的相似性区分弯曲杆菌。BARDOT在真实的食品中的应用已经通过弯曲杆菌添加的鸡肉和自然污染的新鲜鸡肉块的分析而得到解决。结合实时PCR验证,BARDOT能够鉴定零售鸡肉中的弯曲杆菌分离株。此外,应用被动过滤的食品样品促进了纯弯曲杆菌菌落的分离,因此克服了食品基质对BARDOT分析的干扰。爱思唯尔有限公司出版
Campylobacter jejuni and Campylobacter coli are the two important species responsible for most of the Campylobacter infections in humans. Reliable isolation and detection of Campylobacter spp. from food samples are challenging due to the interferences from complex food substances and the fastidious growth requirements of this organism. In this study, a novel biosensor-based detection called BARDOT (BActerial Rapid Detection using Optical scattering Technology) was developed for high-throughput screening of Campylobacter colonies grown on an agar plate without disrupting the intact colonies. Image pattern characterization and principal component analysis (PCA) of 6909 bacterial colonies showed that the light scatter patterns of C. jejuni and C. coli were strikingly different from those of Salmonella spp., Escherichia coli O157:H7, and Listeria monocytogenes. Examination of a mixed culture of these microorganisms revealed 85% (34/40) accuracy in differentiating Campylobacter from the other three major foodborne pathogens based on the similarity to the scatter patterns in an established library. The application of BARDOT in real food has been addressed through the analysis of Campylobacter spiked ground chicken and naturally contaminated fresh chicken pieces. Combined with real-time PCR verification, BARDOT was able to identify Campylobacter isolates from retail chicken. Moreover, applying passive filtration to food samples facilitated the isolation of pure Campylobacter colonies and therefore overcame the interference of the food matrix on BARDOT analysis. Published by Elsevier Ltd.