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中国精品科技期刊2020
马菲菲,王华艳,何代琴,等. 余甘子果脯在光照贮藏过程中的品质变化规律及货架期预测J. 食品工业科技,2026,47(18):1−12. doi: 10.13386/j.issn1002-0306.2025070384.
引用本文: 马菲菲,王华艳,何代琴,等. 余甘子果脯在光照贮藏过程中的品质变化规律及货架期预测J. 食品工业科技,2026,47(18):1−12. doi: 10.13386/j.issn1002-0306.2025070384.
MA Feifei, WANG Huayan, HE Daiqin, et al. Quality Changes and Shelf Life Prediction of Phyllanthus emblica L. Preserved Fruit during Light-accelerated StorageJ. Science and Technology of Food Industry, 2026, 47(18): 1−12. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2025070384.
Citation: MA Feifei, WANG Huayan, HE Daiqin, et al. Quality Changes and Shelf Life Prediction of Phyllanthus emblica L. Preserved Fruit during Light-accelerated StorageJ. Science and Technology of Food Industry, 2026, 47(18): 1−12. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2025070384.

余甘子果脯在光照贮藏过程中的品质变化规律及货架期预测

Quality Changes and Shelf Life Prediction of Phyllanthus emblica L. Preserved Fruit during Light-accelerated Storage

  • 摘要: 为探究光照时间对余甘子果脯贮藏品质的影响并建立货架期预测模型,本研究以透明包装袋(TM)和避光包装袋(BG)包装的‘华丰’(HF)和‘野生’(YS)品种余甘子果脯为研究对象,在25 ℃、2000 lux光照条件下进行25 d的加速贮藏实验,动态监测色泽、质构、化学成分、抗氧化活性及感官评分等18项指标变化,结合Pearson相关性分析法与化学动力学方程,建立基于关键品质指标的货架期预测模型。结果表明:光照贮藏明显影响余甘子果脯品质,其中L*值、b*值、硬度、弹性、咀嚼性、水分、总酸、总糖、还原糖、抗坏血酸、总酚、黄酮、抗氧化活性及综合感官评分等指标显著降低,而a*值、ΔE值和内聚性等指标显著升高(P<0.05)。避光包装(BG)能有效延缓品质劣变,第25 d时,余甘子果脯综合感官评分由高至低依次为BG-YS>BG-HF>TM-YS>TM-HF。Pearson相关性分析表明余甘子果脯各品质指标中L*值、弹性、抗坏血酸含量与感官评分相关性最高,选择以上3个指标可作为预测余甘子果脯货架期的关键指标,其变化规律符合零级动力学方程,建立的货架期模型预测值与实测值相对偏差在10%以内,证明该模型准确可信,能够快速可靠地预测余甘子果脯的货架期。

     

    Abstract: To investigate the effects of light exposure on the storage quality of Phyllanthus emblica L. preserved fruit and to establish a shelf-life prediction model, this study subjected two varieties, 'Huafeng' (HF) and 'Wild' (YS), packaged in transparent (TM) and light-blocking (BG) packaging bags were used as research objects. Accelerated storage experiments were carried out for 25 days at 25 ℃ and 2000 lux light conditions. Monitor 18 indicators changes, including color, texture, chemical composition, antioxidant activity, and sensory dynamically. Pearson correlation analysis and chemical kinetic modeling were integrated to construct a shelf-life prediction model, enabling the estimation of product stability based on critical quality attributes. The results demonstrated that light exposure significantly accelerated quality deterioration. Notably, the L* value, b* value, hardness, elasticity, chewiness, moisture content, total acid, total sugar, reducing sugar, ascorbic acid, total phenols, flavonoids, antioxidant activity, and overall sensory score decreased significantly (P<0.05), whereas the a* value, ΔE value, and cohesiveness increased (P<0.05). Light-blocking (BG) packaging effectively delayed this deterioration. On day 25, the overall sensory scores ranked as follows: BG-YS>BG-HF>TM-YS>TM-HF. Pearson correlation analysis identified L* value, elasticity, and ascorbic acid content as the indicators most strongly correlated with sensory score. These were selected as key predictors, and their degradation followed zero-order kinetics. The established shelf-life prediction model showed a relative deviation between predicted and actual values of less than 10%, confirming its accuracy and reliability for the rapid assessment of the product's shelf life.

     

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