※安全检测食品科学2023,Vol.44,No.04265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*（吉林农业大学信息技术学院，吉林长春130118）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0.173d和0.285d。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NondestructiveDetectionofVegetableMoistureContentandStorageTimeUsingMicrowaveFree-SpaceReflectionMethodLIChenxiao,RENYuan,ZHAOChenyu,HEXian,YUXiaoting,XUYanlei*(CollegeofInformationandTechnology,JilinAgriculturalUniversity,Changchun130118,China)Abstract:Inthisstudy,aradartraveling-standingwavedetectiondevicefortherapidandnondestructivedetectionofthemoisturecontentandstoragetimeofvegetableswasdesignedbasedonthemicrowavefree-spacereflectionmethod.Spatialtraveling-standingwavesgeneratedbymicrowavefree-spacereflectionandsuperpositionwereexploredandthechangesinstandingwaveratioandthecoordinateofantinodeasafunctionofthemoisturecontentandstoragetimeofvegetableswereinvestigated.Theresultsshowedthattheproposedmodelshadgoodpredictionaccuracy.Thegoodnessoffit(R2)ofthemoisturecontentpredictionmodelsforlettuceandleaflettucewere0.979and0.959,andthestandarderrorsofprediction(SEP)were0.310%and0.641%,respectively.TheR2valuesofthestoragetimepredictionmodelsforlettuceandleaflettucewere0.992and0.951,andtheSEPvalueswere0.173and0.285days,respectively.Thisstudyprovidesanewmethodfornondestructivetestingofvegetablequality.Keywords:microwavetechnology;vegetable;freshness;moisturecontent;nondestructivetestingDOI:10.7506/spkx1002-6630-20220329-354中图分类号：S24；TS255.7文献标志...
