真空协同氯化钙和抗坏血酸浸渍对杨梅品质的影响及货架期预测模型的构建

    Quality change and shelf life prediction model of impregnating bayberry by vacuum combined with CaCl2 and Vc treatment

    • 摘要: 杨梅是我国特有的亚热带水果,富含多种营养成分,但在储存和运输过程中极易腐败,货架期较短。为提高杨梅的贮藏品质并延长其货架期,采用真空协同氯化钙(CaCl2)和抗坏血酸(Vc)浸渍处理杨梅,研究了其在贮藏过程中品质特性的变化,并构建了货架期预测模型。结果表明: 真空协同CaCl2和Vc浸渍可有效减缓杨梅在贮藏过程中硬度及可溶性固形物、总酚、果胶含量的下降,同时抑制腐烂率和失重率的上升,保持果实色泽的稳定性,降低多聚半乳糖醛酸酶和果胶甲酯酶的活性,从而维持果实的整体品质;经真空协同CaCl2和Vc浸渍处理的杨梅在贮藏末期仍保留螯合性果胶的网状结构和少量分支结构,降解程度较小,这与其硬度变化密切相关;基于修正的Gompertz模型,建立了杨梅在2~25 ℃范围内的货架期预测模型,模型的实测值与预测值的偏差度和准确度分别为0.998~1.004和1.009~1.014。真空协同CaCl2和Vc浸渍处理能够显著维持杨梅在贮藏过程中的果实品质,所建立的预测模型可有效预测杨梅在2~25 ℃条件下的货架期。

       

      Abstract: Bayberry, a subtropical fruit with distinct Chinese characteristics, is highly nutritious but prone to spoilage during storage and transportation, resulting in a short shelf life. To improve its storage quality and extend the shelf life, this study investigated the effects of vacuum impregnation combined with CaCl2 and ascorbic acid (Vc) treatments. The quality attributes of bayberry during storage were examined, and a shelf life prediction model was developed. The results demonstrated that the combined treatment effectively slowed down the decline in hardness, soluble solids, total phenols, and pectin content, inhibited the increase in decay rate and weight loss. Additionally, the treatment maintained color stability and reduced the activity of polygalacturonase and pectin methylesterase, thereby preserving the quality of bayberry during storage. Analysis of the pectin structure revealed that chelating pectin in treated bayberries retained a network structure with minor branching even at the end of storage, indicating minimal degradation. The structure of chelating pectin was found to be closely associated with bayberry hardness. Furthermore, the modified Gompertz model was applied to establish a shelf life prediction model for bayberry at storage temperatures of 2-25 ℃. The model demonstrated high accuracy, with the deviation and precision between measured and predicted values ranging from 0.998 to 1.004 and 1.009 to 1.014, respectively. The combined treatment of vacuum impregnation with CaCl2 and Vc effectively preserved bayberry quality during storage, and the developed model accurately predicted shelf life within the specified temperature range.

       

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