[Objective] Through studying the relationship between electrical parameters and comprehensive information of physiological indexes and characteristic frequency in nondestructive testing to predict kiwi' s postharvest physiology storage period. [ Method] Principal component analysis was carried out on 10 kinds of physiological indexes during storage process,such as pulp hardness,etc.. Moreover,the relationship with the relevant electrical parameters was discussed. [ Result] The weightlessness rate,hardness,water content,etc. 10 kinds of physiological indexes were determined during kiwi's postharvest storage process,and principal component analysis was carried out. The established principal component integration model could reflect the change of kiwi' s physiological state comprehensively; the calculation of principal component value of F could predict the postharvest storage period of kiwi. During the frequency band of 0.1 -39.8 kHz,the principal component value correlation between three electrical parameters and physiological indexes were better and can be used as kiwi' s nondestructive testing frequency of postharvest physiology. What's more,the damaged fruit and normal kiwi fruit were distinguished in such frequency range.The 63.1 kHz can be used as the characteristics of frequency detection of kiwi fruit. [Conclusion] The study provided theoretical basis for storage period prediction of kiwi and related fruit and nondestructive testing.%[目的]通过对无损检测中电学参数与生理指标综合信息关系和特征频率进行研究,对猕猴桃采后生理贮藏期进行预测.[方法]对贮藏过程中果肉硬度等10种生理指标进行主成分分析并探讨其与相关电学参数的关系.[结果]对猕猴桃采后贮藏过程中失重率、硬度和含水量等10种生理指标进行测定并进行主成分分析,建立的主成分综合模型能够全面反映猕猴桃生理状态的变化;通过计算主成分值F,可对猕猴桃的采后贮藏期进行预测.在0.1 ～39.8 kHz频率段,3种电学参数与生理指标的主成分值相关性较好,可作为猕猴桃采后生理的无损检测频率,且在0.1～39.8 kHz频率范围内可进行猕猴桃的损伤果和正常果的区分；63.1 kHz可作为猕猴桃的特征检测频率.[结论]该研究为猕猴桃及相关水果贮藏期的预测和无损检测提供了理论依据.
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