食品科学 ›› 2023, Vol. 44 ›› Issue (4): 265-271.doi: 10.7506/spkx1002-6630-20220329-354

• 安全检测 • 上一篇    下一篇

基于微波空间反射法的蔬菜含水率及贮藏时间无损检测

李陈孝,任圆,赵晨宇,何贤,于小庭,徐艳蕾   

  1. (吉林农业大学信息技术学院,吉林 长春 130118)
  • 发布日期:2023-03-01
  • 基金资助:
    国家自然科学基金青年科学基金项目(31801753);吉林省教育厅“十三五”科学技术项目(JJKH20200327KJ)

Nondestructive Detection of Vegetable Moisture Content and Storage Time Using Microwave Free-Space Reflection Method

LI Chenxiao, REN Yuan, ZHAO Chenyu, HE Xian, YU Xiaoting, XU Yanlei   

  1. (College of Information and Technology, Jilin Agricultural University, Changchun 130118, China)
  • Published:2023-03-01

摘要: 基于微波空间反射法设计一种雷达行驻波检测装置,实现蔬菜在贮藏过程中含水率变化的快速、无损检测。以室温贮藏的生菜、油麦菜为实验材料,对自由空间微波反射叠加产生的空间行驻波进行讨论,研究驻波比与波腹点坐标随蔬菜含水率及贮藏时间的变化规律。结果表明,模型具有良好的预测精度。生菜、油麦菜含水率预测方程的拟合优度R2分别为0.979和0.959,预测标准误差分别为0.310%和0.641%。生菜、油麦菜贮藏时间预测方程的拟合优度R2分别为0.992和0.951,预测标准误差分别为0.173 d和0.285 d。该研究为蔬菜品质的快速无损检测提供了新方法。

关键词: 微波技术;蔬菜;新鲜度;含水率;无损检测?

Abstract: In this study, a radar traveling-standing wave detection device for the rapid and nondestructive detection of the moisture content and storage time of vegetables was designed based on the microwave free-space reflection method. Spatial traveling-standing waves generated by microwave free-space reflection and superposition were explored and the changes in standing wave ratio and the coordinate of antinode as a function of the moisture content and storage time of vegetables were investigated. The results showed that the proposed models had good prediction accuracy. The goodness of fit (R2) of the moisture content prediction models for lettuce and leaf lettuce were 0.979 and 0.959, and the standard errors of prediction (SEP) were 0.310% and 0.641%, respectively. The R2 values of the storage time prediction models for lettuce and leaf lettuce were 0.992 and 0.951, and the SEP values were 0.173 and 0.285 days, respectively. This study provides a new method for nondestructive testing of vegetable quality.

Key words: microwave technology; vegetable; freshness; moisture content; nondestructive testing

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