Discrimination of Plant Volatile Signatures by an Electronic Nose: A Potential Technology for Plant Pest and Disease Monitoring
Discrimination of Plant Volatile Signatures by an Electronic Nose: A Potential Technology for Plant Pest and Disease Monitoring
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DOI：
10.1021/es801738s
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发表时间：
2008-11-15
影响因子：
11.4
通讯作者：
Paul, Nigel D.
中科院分区：
文献类型：
--
作者：
Laothawornkitkul, Jullada;Moore, Jason P.;Paul, Nigel D.
植物释放的挥发性有机化合物（VOCs）谱通常会随着环境因素的变化而变化，监测这些谱的变化可以提供一种非破坏性的植物健康测量手段。利用电子鼻对黄瓜、辣椒和番茄叶片在遭受机械损伤或病虫害侵袭时释放的挥发性有机化合物花束进行了区分。应用主成分分析、判别函数分析和聚类分析对数据进行评价。结果表明，电子鼻能够对三种被试植物未损伤叶片中的挥发性有机化合物进行区分。它还可以区分同一植物物种的未受损和人为受损的叶片。在黄瓜中，电子鼻可以区分来自控制叶片、人为破坏叶片和蜘蛛螨侵染叶片的挥发性有机化合物。它还可以区分来自对照、人为破坏、蚯蚓破坏和白粉病感染的番茄叶片排放的挥发性有机化合物。利用气相色谱-质谱法定量了电子鼻检测到的挥发性特征变化与植物挥发性有机化合物特征响应于施加胁迫的潜在化学变化之间的关系。我们得出结论，电子鼻对植物挥发性有机化合物特征的变化有真实的反应，并且可以成功地区分它们。这些研究表明，这种电子鼻技术在农业和园艺环境中作为一种实时病虫害监测系统的潜在用途。
The volatile organic compounds (VOCs) profile emitted from plants often changes in response to environmental factors, and monitoring the change of such profiles could provide a nondestructive means of plant health measurement. An electronic nose (e-nose) was used to discriminate among VOC bouquets emitted by cucumber, pepper, and tomato leaves subjected to mechanical damage or pest and disease attacks compared with undamaged control leaves. Principle component analysis, discriminant function analysis, and cluster analysis were applied to evaluate the data. The results indicate that the e-nose can discriminate among VOCs from undamaged leaves of the three tested species. It can also discriminate undamaged and artificially damaged leaves of the same plant species. In cucumber, the e-nose can discriminate among VOCs emitted from control, artificially damaged, and spider-mite-infested leaves. It could also discriminate among VOCs emitted from control, artificially damaged, hornworm-damaged, and powdery-mildew-infected tomato leaves. The relationships between the changes in volatile signatures detected by the e-nose to changes in the underlying chemistry of plant VOC signatures in response to applied stresses were quantified by gas chromatography mass spectrometry. We conclude that the e-nose had genuine responses to changes in plant VOC signatures and can successfully discriminate them. These studies demonstrate the potential use of such e-nose technology as a real time pest and disease monitoring system in agricultural and horticultural settings.