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使用基于金属氧化物的电子鼻诊断牛结核病。

Diagnosis of bovine tuberculosis using a metal oxide-based electronic nose.

作者信息

Cho Y S, Jung S C, Oh S

机构信息

Bacteriology Disease Division, Department of Animal and Plant Health Research, Animal and Plant Quarantine Agency, Anyang, Korea.

Technical Support Team, InSung Chroma-Tech, Seoul, Korea.

出版信息

Lett Appl Microbiol. 2015 Jun;60(6):513-6. doi: 10.1111/lam.12410. Epub 2015 Apr 14.

DOI:10.1111/lam.12410
PMID:25739902
Abstract

Electronic noses (e-noses) have been used for environmental monitoring, standardization of medicinal flavourings, food safety tests and diagnosis of infectious diseases based on the statistical analysis of volatile organic compounds (VOCs). Bovine tuberculosis (bTB) is officially diagnosed using the intradermal skin test (IST), which is time-consuming and labour-intensive. Therefore, a more convenient and rapid test with greater sensitivity would be advantageous as prescreening test. In this study, we used a metal oxide sensor (MOS) type e-nose to analyse VOCs in a bTB-infected (n = 11) and bTB-free (n = 10) sera, from cattle whose health status was confirmed using the IST, and pathological and bacteriological examinations. The differences in VOCs from bTB-infected and bTB-free sera detected by the e-nose were statistically analysed using principal components and discriminant factor analyses. bTB-infected and bTB-free sera could be discriminated by MOS type e-nose, and analysing time per sample was only 20 min. VOC analysis using a MOS e-nose was a rapid and automated prescreening method to diagnose bTB, and can be used to select bTB-suspect cattle for IST confirmation. Further studies are required to estimate test sensitivity and specificity. Significance and impact of the study: Bovine tuberculosis (bTB) in cattle is diagnosed using the intradermal skin test (IST); however, this method is very time-consuming and labour-intensive. We analysed volatile organic compounds that are obtained from serum using a metal oxide sensor type of electronic nose to discriminate between TB-infected and TB-free sera. This simple and automated technique will be useful to prescreen bTB-suspects and reduce the time and labour required to perform the IST.

摘要

电子鼻已基于挥发性有机化合物(VOCs)的统计分析,用于环境监测、药用香料标准化、食品安全检测及传染病诊断。牛结核病(bTB)的官方诊断采用皮内皮肤试验(IST),该方法耗时且费力。因此,作为一种预筛检测,一种更便捷、快速且灵敏度更高的检测方法将具有优势。在本研究中,我们使用金属氧化物传感器(MOS)型电子鼻分析了经IST、病理和细菌学检查确认健康状况的牛的bTB感染血清(n = 11)和无bTB血清(n = 10)中的VOCs。使用主成分分析和判别因子分析对电子鼻检测到的bTB感染血清和无bTB血清中VOCs的差异进行了统计分析。MOS型电子鼻能够区分bTB感染血清和无bTB血清,且每个样本的分析时间仅为20分钟。使用MOS电子鼻进行VOC分析是一种诊断bTB的快速且自动化的预筛方法,可用于选择疑似bTB的牛进行IST确认。还需要进一步研究以评估检测的灵敏度和特异性。本研究的意义和影响:牛结核病(bTB)通过皮内皮肤试验(IST)进行诊断;然而,该方法非常耗时且费力。我们使用金属氧化物传感器型电子鼻分析血清中的挥发性有机化合物,以区分感染结核病和未感染结核病的血清。这种简单且自动化的技术将有助于预筛疑似bTB的牛,并减少进行IST所需的时间和劳动力。

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