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首页> 外文会议>International Conference on Environmental, Industrial and Applied Microbiology >Detection and diagnosis of bacterial wetwood in Tilia americana and Ulmus americana sapwood using a CP electronic-nose
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Detection and diagnosis of bacterial wetwood in Tilia americana and Ulmus americana sapwood using a CP electronic-nose

机译：用CP电子鼻鼻紫檀和Ulmus Americana Sapwood检测和诊断紫米亚美洲和Ulmus Sapwood

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摘要

Electronic-nose (e-nose) methods for detecting bacterial wetwood were developed and tested using a conducting polymer (CP)-type electronic nose, the Aromascan A32S, to diagnose the disease in two hardwood species (Tilia americana and Ulmus americana) based on headspace volatile metabolites in sapwood. An aroma library was developed using diagnostic aroma signature patterns (profile databases) derived from e-nose analysis of known healthy and wetwood-infected sapwood cores of each tree species. The library was used to screen sapwood cores for the presence of wetwood in unknown samples. The A32S e-nose effectively distinguished between differences in headspace volatiles from tree cores of different sample types, correctly identifying them at frequencies ranging from 88.1-100%. The distribution of aroma class components, based on artificial neural net training and principal component analysis (PCA), indicated the relatedness and differences in headspace volatiles of aroma classes represented by each sample type. Significant differences were found between the aroma profiles of healthy vs. wetwood-infected sapwood of basswood and American elm, and even greater differences between the headspace wood volatiles released from the two wood types.
机译：使用导电聚合物（CP）型电子鼻子，芳香山铁A32s，亚奥昔斯A32s进行检测和测试电子鼻子（E-鼻子）方法，以诊断基于Sapwood的顶空挥发性代谢物。使用诊断香气签名模式（简档数据库）开发了一种香气文库，该图案来自每棵树种类的已知健康和湿垫感染的Sapwood核心的电子鼻子分析。图书馆用于筛选Sapwood核心，以便在未知样品中存在湿垫。 A32S E-鼻子有效地区分了不同样品类型的树芯的顶空挥发物的差异，正确地识别88.1-100％的频率。基于人工神经净训练和主要成分分析（PCA）的香气类组分的分布表明了每个样品类型所代表的香气类的顶空挥发物的相关性和差异。在贝斯伍德和美国榆树的健康与湿木感染的Sapwood的香气概况之间发现了显着差异，甚至从两种木材类型释放的顶部木挥发物之间的更大差异。

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