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益生菌發(fā)酵蘋果濁汁貯存期品質(zhì)分析與貨架期預(yù)測(cè)模型
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國(guó)家重點(diǎn)研發(fā)計(jì)劃項(xiàng)目(2017YFD0400702)和陜西省重點(diǎn)研發(fā)計(jì)劃項(xiàng)目(2020NY-096)


Composition Change and Shelf Life Prediction Model of Probiotic Fermented Cloudy Apple Juice
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    摘要:

    為明確不同貯存溫度對(duì)益生菌發(fā)酵蘋果濁汁品質(zhì)的影響及預(yù)測(cè)發(fā)酵蘋果濁汁的貨架期,,測(cè)定了4,、25℃條件下益生菌發(fā)酵蘋果濁汁色差L*值、a*值,、b*值,、ΔE值,以及穩(wěn)定系數(shù),、活菌菌體濃度,、感官評(píng)分、有機(jī)酸質(zhì)量濃度,、糖質(zhì)量濃度和香氣成分等指標(biāo)的變化,,基于Arrhenius方程構(gòu)建了發(fā)酵蘋果濁汁各項(xiàng)品質(zhì)指標(biāo)貨架期預(yù)測(cè)模型。結(jié)果表明:在4℃和25℃條件下,,發(fā)酵蘋果濁汁的b*值,、ΔE值變化符合零級(jí)反應(yīng),其他指標(biāo)均符合一級(jí)動(dòng)力學(xué)反應(yīng),。以單指標(biāo)分別建立預(yù)測(cè)模型,,模型計(jì)算驗(yàn)證結(jié)果顯示,各模型的相對(duì)誤差均小于10%,,偏差度和準(zhǔn)確度不大于1.04,,說明模型可以很好地預(yù)測(cè)發(fā)酵蘋果濁汁貯存期的各項(xiàng)指標(biāo)?;罹w濃度與其他品質(zhì)指標(biāo)均呈顯著相關(guān),,以其建立的4℃和25℃條件下的發(fā)酵蘋果濁汁貨架期預(yù)測(cè)模型的預(yù)測(cè)值與實(shí)測(cè)值的相對(duì)誤差小于10%,,說明模型可靠、合理,,可以準(zhǔn)確預(yù)測(cè)益生菌發(fā)酵蘋果濁汁的貨架期,。

    Abstract:

    As the cloudy apple juice fermented by probiotics is prone to browning, precipitation and decrease in the number of viable bacteria during storage, the quality of cloudy apple juice fermented by probiotics is reduced and the shelf life is difficult to predict. Changes in various indicators during food storage are important factors in controlling product quality. In order to clarify the effect of different temperatures on the quality of fermented cloudy apple juice and predict the shelf life of fermented cloudy apple juice, the L* value, a* value, b* value and ΔE value, suspension stability, viable count, sensory score, organic acid, sugar and aroma components were measured at 4℃ and 25℃. According to Arrhenius equation, various quality index prediction models were constructed. The results showed that the b* value and ΔE value of the fermented cloudy apple juice were in accordance with the zero-order reaction at 4℃ and 25℃, and other indexes were consistent with the first-order kinetic reaction. The shelf life prediction model was established by single index. The test results showed that the error of each model was less than 10%, the degree of deviation and accuracy was no more than 1.04, which indicated that the model can predict the indexes of the storage period of fermented cloudy apple juice well;the number of viable counts was significantly correlated with other quality indicators. The relative error between the predicted value and the measured value of the shelf life model at 4℃ and 25℃ was less than 10%, which indicated that the model was reliable and reasonable, and can quickly and accurately predict the shelf life of fermented cloudy apple juice.

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高振鵬,孟掉琴,王瑜,吳霞,任耀鵬,岳田利.益生菌發(fā)酵蘋果濁汁貯存期品質(zhì)分析與貨架期預(yù)測(cè)模型[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2020,51(9):311-318. GAO Zhenpeng, MENG Diaoqin, WANG Yu, WU Xia, REN Yaopeng, YUE Tianli. Composition Change and Shelf Life Prediction Model of Probiotic Fermented Cloudy Apple Juice[J]. Transactions of the Chinese Society for Agricultural Machinery,2020,51(9):311-318.

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  • 收稿日期:2019-11-01
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  • 在線發(fā)布日期: 2020-09-10
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