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气调贮藏对番石榴生理品质及呼吸特性的影响

Physiological Quality and Respiratory Characteristics of Psidium Guajava L. during Modified Atmosphere Storage

【作者】 张玉敏

【导师】 胡长鹰;

【作者基本信息】 暨南大学 , 食品工程, 2012, 硕士

【摘要】 番石榴(Psidium guajava L.)别称“鸡矢果”,为桃金娘科番石榴属植物,原产于美洲热带地区,17世纪末传入我国。本文对番石榴的气调包装进行研究:研究了气调与非气调贮藏对番石榴生理品质的影响;比较了不同气体浓度对番石榴生理品质的影响;用密封系统法测定了番石榴的呼吸速率,建立三种呼吸速率预测模型,并对模型进行验证。本研究主要内容及结论如下:1.研究了12℃时,气调贮藏(4%O2+5%CO2+91%N2)与非气调贮藏对番石榴的表观(色度、硬度)、主要营养成分(还原糖、可滴定酸、Vc)、与腐败有关的酶(过氧化物酶)、腐败过程中的小分子产物(丙二醛)等的影响,结果表明气调包装的番石榴保质期比非气调样品延长了一倍。2.研究不同气体浓度(2%O2+5%CO2+93%N2、4%O2+5%CO2+91%N2、10%O2+5%CO2+85%N2)对番石榴的表观(硬度、色度)、营养成分(可溶性固形物、还原糖、可滴定酸)、过氧化物酶、丙二醛等的影响,发现气体浓度为4%O2+5%CO2+91%N2时,番石榴的贮藏特性最好。3.采用密封系统法测定番石榴在10℃、12℃、15℃、20℃、25℃的初始呼吸速率。其中10℃、15℃、20℃、25℃的数据用于建立基于化学动力学、酶动力学、神经网络的呼吸速率模型,用12℃的呼吸速率数据对模型进行验证,经过模型因子的对比,得出基于神经网络的模型是番石榴呼吸速率的最适宜模型。

【Abstract】 Guava (psidium guajava L.) belongs to Psidium in the Myrtaceae, which was originallyfrom tropical regions in America, and was introduced into China in the end of the17thcentury.This paper studied the modified atmosphere packaging of guava, studied physiological quality ofguava in modified atmosphere packaging and non-modified atmosphere packaging, comparedphysiological quality of guava in three gas concentrations, determined respiration rate of guavawith sealing system, and established three respiratory rate models and verified them. The mainresearch contents and conclusions are as follows:1. Comparing apperence (flesh firmness, chroma), nutrients (reducing sugar, titratable acid, vitamin C), peroxidase activity, putrefactive products (malondialdehyde), and so on of guava in modified atmosphere and non-modified atmosphere packaging at12℃, the results showed that guava shelf-life in modified atmosphere packaging was extended by two times.2. Comparing apperence (flesh firmness, chroma), nutrients (soluble solid content, reducing sugar, titratable acid), peroxidase, malondialdehyde, and so on of guava in three gas concentrations (2%O2+5%CO2+93%N2,4%O2+5%CO2+91%N2,10%O2+5%CO2+85%N2), we discovered the storage quality of guava would be the best when atmosphere environment was4%O2+5%CO2+91%N2.3. Determining the initial respiration rate of guava with sealing system at10℃,12℃,15℃,20℃and25℃, of which the respiratory data at10℃,15℃,20℃and25℃were used to establish respectively respiratory rate model based on chemical kinetics, enzyme kinetics and neural network, and the respiratory data at12℃were used to validate the models. By comparison of the model factors, we obtained the model based on neural network was the best respiration rate model of guava.

  • 【网络出版投稿人】 暨南大学
  • 【网络出版年期】2012年 10期
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