Journal of Nuclear Agricultural Sciences ›› 2019, Vol. 33 ›› Issue (9): 1806-1817.DOI: 10.11869/j.issn.100-8551.2019.09.1806

• Food Irradiation·Food Science • Previous Articles     Next Articles

The Establishment of Shelf Life Predictive Models for Home Delivery Brassica chinensis L. During Storage

SONG Jiawei1, GONG Jianhua2, LUO Siyu3, YU Zhifang1,*   

  1. 1 College of Food Science and Technology, Nanjing Agricultural University, Nanjing, Jiangsu 210095;
    2 Department of Biochemistry and Environmental Engineering, Hanjiang Normal College, Shiyan,Hubei 442000;
    3 Taizhou Shangshanyuan Company, Taizhou, Jiangsu 225300
  • Received:2018-05-29 Revised:2018-10-04 Online:2019-09-09 Published:2019-07-23


宋佳玮1, 巩建华2, 罗嗣育3, 郁志芳1,*   

  1. 1 南京农业大学食品科学与技术学院,江苏 南京 210095;
    2 汉江师范学院生物化学与环境工程系,湖北 十堰 442000;
    3 泰州上膳源,江苏 泰州 225300
  • 通讯作者: *郁志芳,男,教授,主要从事农产品贮藏与加工研究。
  • 作者简介:宋佳玮,女,主要从事农产品贮藏与加工研究。
  • 基金资助:

Abstract: In order to clarify the influence of different condition on the quality of Brassica chinensis L. and accurately predict its shelf life, the weight loss rate, Vc content, yellowing rate and a*value、b*value、ΔE value of boxed and bagged Brassica chinensis L. were measured during holding period at 3, 10 and 20℃. Multiple analysis methods of dynamic, principal component and correlation analyses were applied in this study to establish a comprehensive prediction model based on the change of color and Vc content. The results showed that the yellowing rate and a*value、b*value、ΔE value of Brassica chinensis L.were in accordance with the zero-order reaction under the condition of 3, 10 and 20℃, while the Vc degradation was consistent with the first-order kinetics reaction. The shelf life prediction model based on above single factor showed relative good fitting with separate practical test (R2>0.9) and the correlation between measured and predicted value was highly correlated (>0.93). After principal component and dynamics analyses, a more accurate mixed model with relative error less than 10% was established, which is suitable for predicting the shelf life of Brassica chinensis L.during the holding and delivery period. These results provide theoretical basis and technical support for the cold chain delivery of Brassica chinensis L..

Key words: Brassica chinensis L., quality, temperature, shelf life, prediction model

摘要: 为明确不同宅配条件对小青菜品质的影响及准确预测小青菜的货架期,测定了3、10和20℃条件下盒装和袋装小青菜的失重率、Vc含量、黄化率、a*值、b*值和ΔE值的变化,采用动力学分析和主成分分析、相关性分析等方法建立基于颜色、黄化率和Vc含量变化的综合预测模型。结果表明,3、10和20℃条件下,小青菜的黄化率、a*值、b*值、ΔE值变化均符合零级反应,Vc降解均符合一级动力学反应;以单指标分别建立了货架期预测模型,验证试验表明,各模型的拟合性良好(R2>0.9),实测值与预测值相关性高(>0.93);基于主成分和动力学分析,建立了更准确的货架期预测混合模型,该模型相对误差小于10%,适用于宅配期间小青菜货架期的预测。本研究结果为小青菜的冷链宅配提供理论依据和技术支持。

关键词: 小青菜, 品质, 温度, 货架期, 预测模型