Detection of volatile organic compounds in cattle naturally infected with Mycobacterium bovis

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• 作者：Nir Peled ; Radu Ionescu ; Pauline Nol ; Orna Barash ; Matt McCollum ; Kurt VerCauteren ; Matthew Koslow ; R ; al Stahl ; Jack Rhyan ; Hossam Haick
• 关键词：bTB ; bovine tuberculosis ; M. bovis ; Mycobacterium bovis ; VOC ; volatile organic compound ; CFT ; caudal fold test ; CCT ; comparative cervical test ; GC&ndash ; MS ; gas chromatography&ndash ; mass spectrometry ; DFA ; discriminant factor analysis ; GNP ; gold nanoparti
• 刊名：Sensors and Actuators B: Chemical
• 出版年：2012
• 出版时间：August-September, 2012
• 年：2012
• 卷：171-172
• 期：Complete
• 页码：588-594
• 全文大小：754 K

文摘

We report here on a novel methodology in detecting Mycobacterium bovis (M. bovis) infection in cattle, based on identifying unique volatile organic compounds (VOCs) or a VOC profile in the breath of cattle. The study was conducted on an M. bovis-infected dairy located in southern Colorado, USA, and on two tuberculosis-free dairies from northern Colorado examined as negative controls. Gas-chromatography/mass-spectrometry analysis revealed the presence of 2 VOCs associated with M. bovis infection and 2 other VOCs associated with the healthy state in the exhaled breath of M. bovis-infected and not infected animals, yielding distinctly different VOC patterns for the two study groups. Based on these results, a nanotechnology-based array of sensors was then tailored for detection of M. bovis-infected cattle via breath. Our system successfully identified all M. bovis-infected animals, while 21 % of the not infected animals were classified as M. bovis-infected. This technique could form the basis for a real-time cattle monitoring system that allows efficient and non-invasive screening for new M. bovis infections on dairy farms.