Department of Biology, California State University Bakersfield, Bakersfield, CA 93311, USA.
Department of Biological Sciences, Arkansas State University, Jonesboro, AR 72467, USA.
Sensors (Basel). 2022 Jan 28;22(3):1031. doi: 10.3390/s22031031.
Analysis of volatile organic compound (VOC) emissions using electronic-nose (e-nose) devices has shown promise for early detection of white-nose syndrome (WNS) in bats. Tricolored bats, , from three separate sampling groups defined by environmental conditions, levels of physical activity, and WNS-disease status were captured temporarily for collection of VOC emissions to determine relationships between these combinations of factors and physiological states, (Pd)-infection status, and metabolic conditions. Physiologically active (non-torpid) healthy individuals were captured outside of caves in Arkansas and Louisiana. In addition, healthy and WNS-diseased torpid bats were sampled within caves in Arkansas. Whole-body VOC emissions from bats were collected using portable air-collection and sampling-chamber devices in tandem. Electronic aroma-detection data using three-dimensional Principal Component Analysis provided strong evidence that the three groups of bats had significantly different e-nose aroma signatures, indicative of different VOC profiles. This was confirmed by differences in peak numbers, peak areas, and tentative chemical identities indicated by chromatograms from dual-column GC-analyses. The numbers and quantities of VOCs present in whole-body emissions from physiologically active healthy field bats were significantly greater than those of torpid healthy and diseased cave bats. Specific VOCs were identified as chemical biomarkers of healthy and diseased states, environmental conditions (outside and inside of caves), and levels of physiological activity. These results suggest that GC/E-nose dual-technologies based on VOC-detection and analyses of physiological states, provide noninvasive alternative means for early assessments of Pd-infection, WNS-disease status, and other physiological states.
使用电子鼻(e-nose)设备分析挥发性有机化合物(VOC)排放已显示出在蝙蝠中早期检测白鼻综合征(WNS)的潜力。三色蝙蝠,,来自三个不同的采样组,定义为环境条件、身体活动水平和 WNS-疾病状态,被暂时捕获以收集 VOC 排放,以确定这些因素组合与生理状态、(Pd)-感染状态和代谢状况之间的关系。生理活跃(非冬眠)的健康个体在阿肯色州和路易斯安那州的洞穴外被捕获。此外,在阿肯色州的洞穴内还对健康和患有 WNS 疾病的冬眠蝙蝠进行了采样。使用便携式空气收集和采样室设备串联收集蝙蝠的全身 VOC 排放。使用三维主成分分析的电子香气检测数据提供了强有力的证据,表明三组蝙蝠具有明显不同的电子鼻香气特征,表明存在不同的 VOC 特征。这通过双通道 GC 分析的色谱图中峰数、峰面积和暂定化学特征的差异得到了证实。生理活跃的健康野外蝙蝠全身排放物中存在的 VOC 数量和数量明显大于冬眠的健康和患病洞穴蝙蝠。特定的 VOC 被确定为健康和患病状态、环境条件(洞穴内外)和生理活动水平的化学生物标志物。这些结果表明,基于 VOC 检测和生理状态分析的 GC/电子鼻双技术为 Pd 感染、WNS 疾病状态和其他生理状态的早期评估提供了非侵入性的替代方法。