Prediction of Quality Attributes of the Ruaner Pear Using Dielectric Properties During Post-Ripening Variable Temperature Frozen Storage

Mei Yang, Huili Yan, Weihao Qiao, Jingming Hu (), Yeming Guo, Fang Zhang, Zhong Zhang and Peiyu Zhang
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Mei Yang: College of Mechanical and Electrical Engineering, Gansu Agriculture University, Lanzhou 730070, China
Huili Yan: College of Mechanical and Electrical Engineering, Gansu Agriculture University, Lanzhou 730070, China
Weihao Qiao: College of Mechanical and Electrical Engineering, Gansu Agriculture University, Lanzhou 730070, China
Jingming Hu: College of Mechanical and Electrical Engineering, Gansu Agriculture University, Lanzhou 730070, China
Yeming Guo: College of Mechanical and Electrical Engineering, Gansu Agriculture University, Lanzhou 730070, China
Fang Zhang: Institute of Agricultural Products Storage and Processing, Gansu Academy of Agricultural Sciences, Lanzhou 730070, China
Zhong Zhang: College of Food Science and Engineering, Gansu Agriculture University, Lanzhou 730070, China
Peiyu Zhang: College of Food Science and Engineering, Gansu Agriculture University, Lanzhou 730070, China
Authors registered in the RePEc Author Service: ZhongXiang Zhang

Agriculture, 2025, vol. 15, issue 21, 1-18

Abstract: Fruit quality attributes interrelate with their dielectric properties, but such interrelationships in Ruaner pear during the post-ripening variable temperature frozen storage period remain uninvestigated. Five quality attributes and eight dielectric parameters were measured under two production modes. The results showed that fruit quality improved markedly, the TSS of farmer pears from 11.2% to 17.9%, while cooperative pears increased from 11.47% to 17.5%. The SSC of farmer pears increased from 8.55% to 32.51%, while cooperatives went from 14.61% to 30.14%, The WC of the farmer pears increased from 84.01% to 85.76%, while cooperative pears increased from 84.76% to 86.58%, an increase of 2.1% compared with the pears at 0 d, and farmer-stored pears exhibited better overall quality. Dielectric parameters (B and G) increased with time and showed strong correlations with quality attributes. Prediction models based on principal component analysis achieved high accuracy (R 2 = 0.833). These results highlight the practical potential of using dielectric properties as a rapid, non-destructive method to evaluate fruit quality during post-ripening variable temperature frozen storage.

Keywords: Ruaner pear; quality attribute; dielectric property; prediction model (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2025
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