Literature DB >> 25739902

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

Y S Cho1, S C Jung1, S Oh2.   

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.
© 2015 The Society for Applied Microbiology.

Entities:  

Keywords:  Mycobacterium bovis; bovine tuberculosis; discriminant factor analysis; electronic nose; metal oxide sensor; principal components analysis; volatile organic compound

Mesh:

Substances:

Year:  2015        PMID: 25739902     DOI: 10.1111/lam.12410

Source DB:  PubMed          Journal:  Lett Appl Microbiol        ISSN: 0266-8254            Impact factor:   2.858


  5 in total

Review 1.  Application of Volatilome Analysis to the Diagnosis of Mycobacteria Infection in Livestock.

Authors:  Pablo Rodríguez-Hernández; Vicente Rodríguez-Estévez; Lourdes Arce; Jaime Gómez-Laguna
Journal:  Front Vet Sci       Date:  2021-05-24

2.  Complete Genome Sequence of Mycobacterium bovis Clinical Strain 1595, Isolated from the Laryngopharyngeal Lymph Node of South Korean Cattle.

Authors:  Narae Kim; Yunho Jang; Jin Kyoung Kim; Soyoon Ryoo; Ka Hee Kwon; Shin Seok Kang; Hyeon Seop Byeon; Hee Soo Lee; Young-Hee Lim; Jae-Myung Kim
Journal:  Genome Announc       Date:  2015-10-01

3.  Effects of Sampling Conditions and Environmental Factors on Fecal Volatile Organic Compound Analysis by an Electronic Nose Device.

Authors:  Daniel J C Berkhout; Marc A Benninga; Ruby M van Stein; Paul Brinkman; Hendrik J Niemarkt; Nanne K H de Boer; Tim G J de Meij
Journal:  Sensors (Basel)       Date:  2016-11-23       Impact factor: 3.576

Review 4.  Identification of Chinese Herbal Medicines with Electronic Nose Technology: Applications and Challenges.

Authors:  Huaying Zhou; Dehan Luo; Hamid GholamHosseini; Zhong Li; Jiafeng He
Journal:  Sensors (Basel)       Date:  2017-05-09       Impact factor: 3.576

Review 5.  Volatolomics in healthcare and its advanced detection technology.

Authors:  Wenwen Hu; Weiwei Wu; Yingying Jian; Hossam Haick; Guangjian Zhang; Yun Qian; Miaomiao Yuan; Mingshui Yao
Journal:  Nano Res       Date:  2022-06-29       Impact factor: 10.269

  5 in total

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