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采后纳米材料包装结合气调处理对紫背天葵贮藏品质的影响及数学模型建立
引用本文:姜丽,冯莉,侯田莹,郁志芳.采后纳米材料包装结合气调处理对紫背天葵贮藏品质的影响及数学模型建立[J].食品科学,2014,35(16):238-243.
作者姓名:姜丽  冯莉  侯田莹  郁志芳
作者单位:1.南京农业大学食品科技学院,江苏 南京 210095;2.北京市农林科学院蔬菜研究中心,北京 100097
基金项目:国家自然科学基金青年科学基金项目(31301576);中央高校基本科研业务费专项资金项目(KJQN201428;KYZ201319)
摘    要:以紫背天葵为试材,采用纳米材料自发气调、HDPE袋(15 μm厚)人工气调(3% O2)和纳米材料结合人工气调(3% O2)包装处理,并置于0 ℃条件下贮藏20 d,每5 d测定一次生理指标,包括腐烂率、呼吸强度及叶绿素、花青素、还原糖、总糖、氨基酸、蛋白质含量。结果表明,纳米结合人工气调包装处理组可有效保持采后紫背天葵的叶绿素和花青素含量,保持良好的外观色泽,通过延缓花青素、还原糖、总糖、氨基酸和蛋白质含量的下降,有效保持品质,延缓衰老。建立的一元回归方程为:腐烂率/%=24.605-0.020X7+1.122X4-0.162X5(式中:X4为还原糖含量;X5为花青素含量;X7为叶绿素含量),拟合度较好(R2>0.9),可应用于生产实践。

关 键 词:紫背天葵  纳米材料结合气调包装  贮藏  品质  数学模型  

Establishment of a Mathematical Model for Treatment of Gynura bicolor DC. by Nano-Packaging in Combination with Controlled Atmosphere
JIANG Li,FENG Li,HOU Tian-ying,YU Zhi-fang.Establishment of a Mathematical Model for Treatment of Gynura bicolor DC. by Nano-Packaging in Combination with Controlled Atmosphere[J].Food Science,2014,35(16):238-243.
Authors:JIANG Li  FENG Li  HOU Tian-ying  YU Zhi-fang
Affiliation:1. College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; 2. Beijng Vegetable Research Center, Beijng Academy of Agriculture and Forestry Sciences, Beijing 100097, China
Abstract:The effects of nano-packaging (NP) in combination with controlled atmosphere (CA) on the preservation and
nutritional quality of fresh Gynura bicolor DC (G. bicolor). were investigated during storage at 0 ℃. The nutrition and
quality indices including decay index, respiration rate, as well as the contents of anthocyanin, chlorophyll, amino acid,
protein, total carbohydrate and reducing sugar were tested every 5 days. The combined treatment (CA+NP) improved the
nutritional quality of G. bicolor compared with polyethylene packaging in CA or NP in a modified atmosphere alone. After
20-day storage, CA + NP treatment significantly inhibited respiration intensity and maintained higher contents of total
soluble solids, anthocyanin, chlorophyll, amino acids, protein, total sugar, and reducing sugar. The simplified regression
model: Decay index/%=24.605 - 0.020X7 + 1.122X4 - 0.162X5 (where, X4: reducing sugar content, X5: anthocyanin content,
X7: chlorophyll content) revealed satisfactory goodness of fit (R2 > 0.9). Hence, this model can be applied in practice.
Keywords:Gynura bicolor DC    phytic acid  preservation  quality  mathematical model  
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