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基于无损检测的'三红蜜柚'贮藏期可溶性固形物与品质参数动态变化研究

甘吉昌 马瑞丰 李月 曾莎芮 谭烨欢 杜小珍 林新 周芬 蔡细森 刘蕊

中国果菜2026,Vol.46Issue(9):51-57,7.
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中国果菜2026,Vol.46Issue(9):51-57,7.DOI:10.19590/j.cnki.1008-1038.2026.09.008

基于无损检测的'三红蜜柚'贮藏期可溶性固形物与品质参数动态变化研究

Dynamic Changes of Soluble Solids Content and Quality Parameters in'Sanhong Honey'Pomelo during Storage Based on Nondestructive Detection

甘吉昌 1马瑞丰 1李月 1曾莎芮 1谭烨欢 1杜小珍 1林新 1周芬 1蔡细森 2刘蕊1

作者信息

  • 1. 梅州市农林科学院果树研究所,广东 梅州 514071
  • 2. 梅州市农产品质量监督检验测试中心,广东 梅州 514021
  • 折叠

摘要

Abstract

To address the quality deterioration of'Sanhong Honey'pomelo during postharvest storage and to achieve nondestructive monitoring and prediction of its quality,120 pomelo fruits from six production areas in Meizhou city were used as experimental materials.A nondestructive detection system based on the near-infrared diffuse transmission principle was employed to dynamically monitor the changes in fruit weight and TSS after 0,15,30,45 days of storage at room temperature.The correlation between the two parameters was analyzed,and a prediction model was established.Meanwhile,peel color parameters were measured to evaluate changes in appearance quality.The results showed that with prolonged storage,fruit weight decreased significantly,while TSS increased significantly.A highly significant positive correlation was observed between weight loss and TSS increment.Based on this relationship,a regression model with high prediction accuracy was established.Validation confirmed that there was no significant difference between the predicted and measured values.The peel a value shifted from negative to positive,indicating enhanced red coloration and changes in appearance quality.This study demonstrated that nondestructive detection technology could be used to dynamically monitor the postharvest quality of'Sanhong Honey'pomelo.The established regression model could accurately predict the dynamic changes in TSS,providing effective technical support for intelligent postharvest quality monitoring and graded sales of pomelo fruits.

关键词

'三红蜜柚'/无损检测/贮藏期/可溶性固形物/动态变化/预测模型

Key words

'Sanhong Honey'pomelo/nondestructive detection/storage period/TSS/dynamic changes/prediction model

分类

农业科技

引用本文复制引用

甘吉昌,马瑞丰,李月,曾莎芮,谭烨欢,杜小珍,林新,周芬,蔡细森,刘蕊..基于无损检测的'三红蜜柚'贮藏期可溶性固形物与品质参数动态变化研究[J].中国果菜,2026,46(9):51-57,7.

基金项目

乡村振兴战略专项资金(农业科技能力提升)-柚子品质提升关键技术研究与示范(2025TS-1) (农业科技能力提升)

国家柑橘产业技术体系(CARS-26) (CARS-26)

中国果菜

1008-1038

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