Hodgeman Rachel, Krill Christian, Rochfort Simone, Rodoni Brendan
Agriculture Victoria, AgriBio, La Trobe University, Bundoora, VIC 3086, Australia.
School of Applied Systems Biology, AgriBio, La Trobe University, Bundoora, VIC 3086, Australia.
Sensors (Basel). 2024 Nov 21;24(23):7443. doi: 10.3390/s24237443.
Paratuberculosis is a debilitating disease of ruminants that causes significant economic loss in both cattle and sheep. Early detection of the disease is crucial to controlling the disease; however, current diagnostic tests lack sensitivity. This study evaluated the potential for volatile organic compounds (VOCs) detected by gas chromatography and an electronic nose (eNose) for use as diagnostic tools to differentiate between Map-infected and non-infected cattle and sheep. Solid-phase micro-extraction gas chromatography-mass spectrometry (SPME GC-MS) was used to quantify VOCs from the headspace of faecal samples (cattle and sheep), and partial least squares-discriminant analysis (PLS-DA) was used to determine the suitability as a diagnostic tool. Both the cattle and sheep models had high specificity and sensitivity, 98.1% and 92.3%, respectively, in cattle, and both were 100% in sheep. The eNose was also able to discriminate between Map-infected and non-infected sheep and cattle with 88.9% specificity and 100% sensitivity in sheep and 100% specificity and sensitivity in cattle. This is the first time that VOC analysis by eNose and GCMS has been used for identification of Map in cattle and sheep faeces. GCMS also allowed the identification of putative disease biomarkers, and the eNose diagnostic capability suggests it is a promising tool for point-of-care diagnosis for Map detection on farms.
副结核病是反刍动物的一种消耗性疾病,在牛和羊身上都会造成重大经济损失。疾病的早期检测对于控制该病至关重要;然而,目前的诊断测试缺乏敏感性。本研究评估了气相色谱法和电子鼻检测到的挥发性有机化合物(VOCs)作为诊断工具区分感染副结核分枝杆菌(Map)和未感染Map的牛和羊的潜力。采用固相微萃取气相色谱 - 质谱联用技术(SPME GC-MS)对粪便样本(牛和羊)顶空中的VOCs进行定量,并使用偏最小二乘判别分析(PLS-DA)来确定其作为诊断工具的适用性。牛和羊模型均具有高特异性和敏感性,牛模型分别为98.1%和92.3%,羊模型均为100%。电子鼻也能够区分感染Map和未感染Map的羊和牛,在羊中特异性为8