电子鼻结合SAWR判定甜橙储存时间方法研究

Orange Storage Time Determination Based on Electronic Nose Combined with Surface Acoustic Wave Resonator

本文采用电子鼻结合433MHz声表面波谐振器(SAWR)对不同储存时间的甜橙进行了检测,试验记录电子鼻和SAWR对甜橙样品的响应数据,同时测量了甜橙样品的质量变化百分数,分别拟合构建了电子鼻预测模型、SAWR频率预测模型和电子鼻结合SAWR混合预测模型。结果表明,随着储存时间的增加,甜橙样品失重百分比不断上升。电子鼻结合SAWR混合预测模型相比较其它两种模型可以更准确的预测甜橙储存时间。该方法具有响应迅速、准确性高、成本低廉等优势,为判定甜橙储存时间提供了一种新的思路。

In this study, orange storage time determination is conducted using electronic nose （EN） combined with 433MHz surface acoustic wave resonator （SAWR）. Responses of EN and SAWR to orange samples under different storage time are measured. Weight loss percentage of orange samples is also measured. Orange storage time predicting models based on EN, SAWR, and EN combined with SAWR are developed. Experimental results demonstrate that weight loss percentage index increases with the increase of storage time. Predicting model based on EN combined with SAWR presents higher orange storage time predicting accuracy than the other two models. Orange storage time predicting system using EN combined with SAWR has unique advantages including fast response, high accuracy, low cost, etc. This method provides a novel way for fruit quality analysis.