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Application of Electronic Nose in Detection of Fresh Vegetables Freezing Time Considering Odor Identification Technology

机译:考虑气味识别技术的电子鼻在新鲜蔬菜冷冻时间检测中的应用

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In this paper, the application of electronic nose (e-nose) technology in the detection of fresh vegetablesfreezing time is taken as the research goal. This paper uses the literature analysis method, test detectionmethod and comparative analysis method, basing on a brief introduction of e-nose technology, it takes freshbeans stored for different days (1-6 days) at room temperature and -18°C freezing condition as the researchobject. According to the response of the sensor array to the volatile components and three model analysismethods, the freezing time of fresh vegetables is determined, among which, both PCA and LDA canaccurately detect the freezing time of fresh vegetables. Loadings analysis shows that hydrogen sulfide andnitrogen oxides play a major role in detecting the freezing time of fresh vegetables. The results show that thee-nose can quickly and accurately detect the freezing time of fresh vegetables.
机译:本文将电子鼻(e-nose)技术在新鲜蔬菜检测中的应用 以冷冻时间为研究目标。本文采用文献分析法,进行测试检测 方法和比较分析方法,在简要介绍电子鼻技术的基础上, 在室温和-18°C冷冻条件下不同天(1-6天)储存的咖啡豆作为研究对象 目的。根据传感器阵列对挥发性成分的响应和三种模型分析 确定新鲜蔬菜的冷冻时间,其中PCA和LDA均可 准确检测新鲜蔬菜的冷冻时间。负载分析表明,硫化氢和 氮氧化物在检测新鲜蔬菜的冷冻时间中起主要作用。结果表明 电子鼻可以快速准确地检测出新鲜蔬菜的冷冻时间。

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