便携式电子鼻用于棉花绿脓杆菌侵害检测（半翅目：五翅目昆虫）

       Development of a Portable Electronic Nose for Detection of Cotton Damaged by Nezara viridula (Hemiptera: Pentatomidae)
　　便携式电子鼻用于棉花绿脓杆菌侵害检测（半翅目：五翅目昆虫） Brittany D. Lampson,1 Ahmad Khalilian,2 Jeremy K. Greene,2 Young J. Han,1 and David C. Degenhardt3 1 School of Agricultural, Forest, and Environmental Sciences, Clemson University, 231 McAdams Hall, Clemson SC 29634, USA 2 School of Agricultural, Forest, and Environmental Sciences, Edisto Research and Education Center, 64 Research Road, Blackville, SC 29817, USA 3 Richland County School System, 4801 Hardscrabble Road, Columbia, SC 29229, USA
　　Correspondence should be addressed to Ahmad Khalilian; akhlln@clemson.edu Received 31 July 2014; Revised 20 October 2014; Accepted 21 October 2014; Published 11 November 2014 Academic Editor: Jos´e A. Martinez-Ibarra
　　Copyright © 2014 Brittany D. Lampson et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
　　Abstract Stink bugs are significant pests of cotton in the southeastern USA, causing millions of dollars in control costs and crop losses each year. New methods to detect stink bug damage must be investigated in order to reduce these costs and optimize pesticide applications. One such method would be to detect the volatile organic compounds (VOCs) emitted from cotton plants damaged by stink bugs. A portable device was developed to draw VOCs from the head space of a cotton boll over carbon black-polymer composite sensors. From the response of these sensors, this device would indicate if the boll was fed upon by a stink bug or not. The device was 99% accurate in distinguishing bolls damaged by stink bugs from undamaged controls when tested under training conditions. However, the device was only 57.1% accurate in distinguishing damaged fromundamaged bolls when tested 24 h after it was trained.These results indicated that this device was capable of classifying cotton as damaged or undamaged by differentiating VOCs released from undamaged or damaged bolls, but improvements in design are required to address sensitivity to fluctuations in environmental conditions.
　　臭虫是美国东南部棉花的重要害虫，每年造成数百万美元的控制成本和作物损失。为了降低成本，优化农药应用，必须研究检测臭虫危害的新方法。其中一种方法是检测由臭虫破坏的棉花植株释放的挥发性有机化合物（VOC）。开发了一种在碳黑聚合物复合传感器上从棉铃头部空间提取挥发性有机化合物的便携式装置。从这些传感器的反应来看，这个装置可以显示出棉铃是否被臭虫叮咬过。在训练条件下进行测试时，该装置能99%准确地分辨出臭虫破坏的棉铃和未受损的对照棉铃。然而，经过24小时的试验，该装置在区分受损棉铃和未受损棉铃方面的准确率仅为57.1%，这些结果表明，该装置能够通过区分从未受损棉铃释放的VOC，将棉花分为受损棉铃和未受损棉铃，但需要改进环境检测条件波动性设计，比如增加样品温度等；以解决传感器敏感性问题