基于气敏传感器检测草莓腐烂的移动式设备研发
目的 研发一款基于气敏传感器对草莓腐烂进行移动式检测的电子鼻设备。方法 根据健康/劣变草莓的挥发性成分变化选择了6个金属氧化物传感器, 并将传感器阵列与移动单元及计算机结合构建移动式电子鼻设备, 在基于C#语言开发的软件系统控制下运行。在密闭空间内提取“红颜”草莓的顶部空气, 传感器接触特异性气体产生电信号, 经模数转换和数据分析实现对腐烂果实的定位识别。结果 各传感器对草莓的挥发性气味响应不同, 且腐烂草莓与完好草莓的挥发性气味存在差异。验证试验表明当密闭时间为5 min, 定点检测时长为20 s时采用移动式传感器阵列进行腐烂定位效果较好, 单层草莓单点和多点腐烂源定位结果与实际腐烂源位置的直线偏差为±3 cm以内。结论 研发的电子鼻设备可满足对单层草莓进行腐败检测和腐烂源定位的要求, 同时也为草莓腐烂的检测提供了一种移动式无损检测参考装置。
Objective To develop an electronic nose device based on gas sensor for mobile detection of strawberry rot. Methods In this study, 6 metal oxide sensors were selected according to the variation of volatile components in healthy/deteriorated strawberries, and the sensor array was combined with mobile units and computers to construct a moving electronic nose device, which was operated under the control of a software system developed based on C# language. The top air of the ‘beauty’ strawberry was extracted and detected in the closed space. The sensor contacted with specific gas to generate electrical signals, and realized the correct location of rotten fruit through analog-to-digital conversion and data analysis. Results Each sensor had different volatile odor response to strawberry, and the volatile odor of rotten strawberry was different from that of intact strawberry. The verification test showed that when the sealing time was 5 min and the fixed-point detection time was 20 s, the mobile sensor array could identify the rot location, and the linear deviation between the single point of the strawberry and the actual rotten source location was within 3 cm. Conclusion The developed electronic nose equipment can meet the requirements of single layer of strawberry for the detection of corruption and the location of the source of rot, and also provides a mobile non-destructive testing device for the detection of strawberry rot
标题：基于气敏传感器检测草莓腐烂的移动式设备研发
英文标题：Development of electronic nose equipment based on gas sensor for mobile detection of strawberry rot
作者：
韩璐 南京农业大学食品科技学院
邢梦珂 南京农业大学食品科技学院
陈继昆 云南省农产品质量安全中心
屠康 南京农业大学食品科技学院
中文关键词:草莓,检测,传感器,电子鼻,
英文关键词:strawberry,detection,sensor,electronic nose,
发表日期：2019-03-11
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