摘要
随着冷链耦合保鲜/气调技术的发展,气体成分参数已经成为鲜食葡萄冷链物流监测与追溯的重要指标之一。针对现有气体传感器不能满足冷链物流监测与追溯的高精度和微量化需求,选取CO2、O2和SO2为基本参数,利用基于时域特征参数提取方法,研究气体传感器静态、动态响应的特征参数,用线性回归法进行优化,筛选最佳特征参数。研究结果表明,鲜食葡萄冷链物流O2和SO2传感器最佳特征参数分别为空气中的响应基值Xa、稳态响应幅值Xg、响应速度Dres、响应恢复速度Drec、响应时间tres、响应恢复时间trec和响应幅值的累积Int Pres,其中,CO2传感器响应幅值的累积特征低于O2和SO2传感器。最佳特征参数能够对冷链物流中具有累积效应的气体传感信号进行有效地特征分析,进一步提高冷链物流气体传感器应用及监控的精度、灵敏度和稳定性。
Modified atmosphere techniques and preservation technologies,coupling with cold-chain have been approved themselves as key tools to prevent spoilage and prolong shelflife for the fruit storage and transportation. Taking table grape as example, modified atmosphere techniques create gaseous microenvironments which usually consist of reduced O2,elevated CO2 concentrations compared to air and fresh keeping agent of sulfur dioxide which commonly used to release SO2 and strongly retard the growth of these pathogenic fungis. Thus,there is an increasing concern about gas monitoring to improve the transparency and traceability during cold-chain. However,the existed industrial gas sensor can not meet the demand of cold-chain logistics in scale and precision. Then,the paper aimed to extract the static and dynamic response characteristics of gas sensors for table grape cold-chain logistics,which developed the method of characteristic parameter extraction based on time domain,and the carbon dioxide,oxygen and sulfur dioxide were developed as basic parameters. The method of linear regression was used to optimize characteristics of gas sensors,so the best feature parameters were got for gas sensing signal,which contain the response of gas sensor in the air,steady response of gas sensor,the speed of response and response recovery,time of response and response recovery,and response integrated signal respectively. The best feature parameters can be used to analyze the characteristics of gas sensing signal which has a cumulativeeffect on the quality in cold-chain. It is possible to improve the application and monitoring precision,monitoring sensitivity and monitoring stability of gas sensor in the cold-chain logistics further more.
出处
《农业机械学报》
EI
CAS
CSCD
北大核心
2016年第1期240-246,共7页
Transactions of the Chinese Society for Agricultural Machinery
基金
2014国家农业科技成果转化基金(山东)项目
教育部新世纪优秀人才计划项目(NCET-11-0491)
关键词
鲜食葡萄
冷链物流
气体传感器
特征参数
气调
table grape
cold-chain logistics
gas sensor
characteristic parameters
modified atmosphere