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首页> 外文期刊>Journal of Agricultural and Food Chemistry >Rapid In Situ Analysis of Plant Emission for Disease Diagnosis Using a Portable Gas Chromatography Device
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Rapid In Situ Analysis of Plant Emission for Disease Diagnosis Using a Portable Gas Chromatography Device

机译：利用便携式气相色谱装置快速分析疾病诊断植物排放

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摘要

We developed and applied a fully automated portable gas chromatography (GC) device for rapid and in situ analysis of plant volatile organic compounds (VOCs) to examine plant health status. A total of 42 emission samples were collected over a period of 5 days from 10 milkweed (Asclepias syriaca) plants, half of which were infested by aphids. Thirty-five VOC peaks were separated and detected in 8 min. An algorithm based on machine learning, principal component analysis, and linear discriminant analysis was developed to evaluate the GC results. We found that our device and algorithm are able to distinguish between the undamaged control and the aphid-infested milkweeds with an overall accuracy of 90-100% within 48-72 h of the attack. Such rapid in situ detection of insect attack attests to the great potential of VOC monitoring in plant health management.
机译：我们开发并应用了全自动的便携式气相色谱（GC）装置，用于植物挥发性有机化合物（VOC）的快速和原位分析，以检查植物健康状况。 从10次乳草（Asclepias Syriaca）植物的5天内收集了42个排放样品，其中一半被蚜虫侵染。 分离了35个VOC峰，并在8分钟内检测到。 开发了一种基于机器学习，主成分分析和线性判别分析的算法来评估GC结果。 我们发现，我们的设备和算法能够区分未损坏的控制和蚜虫侵入的乳房，整体准确性为90-100％在攻击的48-72小时内。 这种快速地原位检测昆虫袭击证明了植物健康管理中VOC监测的巨大潜力。

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