Recent Progress on Shelf-Life Prediction of Aquatic Products during Storage and Transportation

被引:0
作者
Wang H. [1 ]
Wang X. [1 ]
Shi W. [1 ]
Zhou F. [1 ]
Wang Y. [1 ]
机构
[1] Laboratory of Quality & Safety Risk Assessment for Aquatic Product on Storage and Preservation (Shanghai), Ministry of Agriculture and Rural Affairs, Shanghai Aquatic Products Processing and Storage Engineering Technology Research Center, College of Food S
来源
Shipin Kexue/Food Science | 2021年 / 42卷 / 15期
关键词
Aquatic products; Modeling; Shelf-life prediction; Storage and transportation;
D O I
10.7506/spkx1002-6630-20200603-038
中图分类号
学科分类号
摘要
Aquatic products are prone to physicochemical, microbial and sensory changes during postmortem storage and transportation because of their high water and highly unsaturated fatty acid contents and high endogenous protease activity as well as the combined action of exogenous microorganisms and endogenous enzymes, resulting in quality deterioration.Modeling the shelf-life of aquatic products based on changes in sensitive indexes is of great significance to the rapid prediction and evaluation of the quality of aquatic products.This paper summarizes the connotation of and the methods (isothermal method and accelerated shelf-life testing method) used for the shelf-life prediction of aquatic products during storage and transportation and the classification of shelf-life prediction models established, and it reviews the recent progress in this research area, with the aim of providing a new idea for modeling for the shelf-life prediction of aquatic products. © 2021, China Food Publishing Company. All right reserved.
引用
收藏
页码:261 / 268
页数:7
相关论文
共 56 条
  • [11] FU Bin, LABUZA T P., Shelf-life testing: procedures and prediction methods for frozen foods, Quality in frozen food, pp. 377-415, (1997)
  • [12] MARTINSR C, LOPESI C, SILVA C L M., Accelerated life testing of frozen green beans (Phaseolus vulgaris L.) quality loss kinetics: colour and starch, Journal of Food Engineering, 67, 3, pp. 339-346, (2005)
  • [13] JUL M P., The quality of frozen foods, (1984)
  • [14] REID D S, KOTTE K, KILMARTIN P, Et al., A new method for accelerated shelf-life prediction for frozen foods, Journal of the Science of Food & Agriculture, 83, 10, pp. 1018-1021, (2003)
  • [15] DERMESONLUOGLU E, KATSAROS G, TSEVDOU M, Et al., Kinetic study of quality indices and shelf life modelling of frozen spinach under dynamic conditions of the cold chain, Journal of Food Engineering, 148, pp. 13-23, (2015)
  • [16] GONCALVES E M, PINHEIRO J, ABREU M, Et al., Kinetics of quality changes of pumpkin (Curcurbita maxima L.) stored under isothermal and non-isothermal frozen conditions, Journal of Food Engineering, 106, 1, pp. 40-47, (2011)
  • [17] LI Deyang, XIE Hongkai, LIU Zhongyuan, Et al., Shelf life prediction and changes in lipid profiles of dried shrimp (Penaeus vannamei) during accelerated storage, Food Chemistry, 297, (2019)
  • [18] XIE Hongkai, ZHOU Dayong, HU Xiaopei, Et al., Changes in lipid profiles of dried clams (Mactra chinensis Philippi and Ruditapes philippinarum) during accelerated storage and prediction of shelf life, Journal of Agricultural and Food Chemistry, 66, 29, pp. 7764-7774, (2018)
  • [19] TSIRONI T, DERMESONLOUOGLOU E, GIANNAKOUROU M, Et al., Shelf life modelling of frozen shrimp at variable temperature conditions, LWT-Food Science and Technology, 42, 2, pp. 664-671, (2009)
  • [20] LI Weiqing, WANG Jie, SUN Jianfeng, Et al., Shelf life prediction modeling of vacuum-packaged scallops on the kinetics of total volatile base nitrogen, International Journal of Food Engineering, 7, 4, (2011)