A Review of Methods for Freshness Detection of Aquatic Products

被引:3
作者
Ma C. [1 ,2 ]
Zhang J. [2 ]
Lu Z. [3 ]
Han J. [2 ]
Xing R. [2 ]
Hao J. [1 ]
Chen Y. [2 ]
机构
[1] School of Biological Science and Engineering, Hebei University of Science and Technology, Shijiazhuang
[2] Chinese Academy of Inspection and Quarantine, Beijing
[3] Department of Product Quality Regulation, State Administration for Market Regulation, Beijing
来源
Shipin Kexue/Food Science | 2020年 / 41卷 / 19期
关键词
Aquatic products; Freshness; Physicochemical analysis technology; Proteomics; Sensory biomimetic technology; Spectral technology; Traditional detection methods;
D O I
10.7506/spkx1002-6630-20190930-370
中图分类号
学科分类号
摘要
Freshness is one of the most important quality indicators of aquatic products. Accurately judging the freshness of aquatic products is not only an important measure to regulate the aquatic product market, but also a necessary trend to meet the increasing requirements of consumers for food quality and safety. Traditional sensory evaluation, and microbial, physicochemical and electrochemical assays have been widely used to evaluate the freshness of aquatic products. What's more, in order to meet the requirements for sensitive, rapid and non-destructive detection of aquatic products freshness, some detection methods have been developed by integrating modern spectroscopy with mass spectrometry and/or other emerging technologies, which have the advantages of fast analysis, high repeatability, and accurate quantitation. This paper summarizes and analyses the commonly used methods for freshness detection of aquatic products with a focus on their advantages and disadvantages, and it gives an outlook on future trends in this area. © 2020, China Food Publishing Company. All right reserved.
引用
收藏
页码:334 / 342
页数:8
相关论文
共 53 条
  • [1] NAGARAJARAO R C., Recent advances in processing and packaging of fishery products: a review, Aquatic Procedia, 7, pp. 201-213, (2016)
  • [2] 1
  • [3] XIAO X, HE Q, FU Z, Et al., Applying CS and WSN methods for improving efficiency of frozen and chilled aquatic products monitoring system in cold chain logistics, Food Control, 60, pp. 656-666, (2016)
  • [4] DU L N, CHAI C X, GUO M J, Et al., A model for discrimination freshness of shrimp, Sensing and Bio-Sensing Research, 6, pp. 28-32, (2015)
  • [5] ABDULLAH D, YUKSEL G I., A practical quality index method (QIM)developed for aquacultured rainbow trout (Oncorhynchus mykiss), International Journal of Food Properties, 21, 1, pp. 858-867, (2018)
  • [6] OZOGUL Y, OZYURT G, OZOGUL F, Et al., Freshness assessment of European eel (Anguilla anguilla) by sensory, chemical and microbiological methods, Food Chemistry, 92, 4, pp. 745-751, (2005)
  • [7] SHI Ce, YANG Xinting, HAN Shuai, Et al., Nondestructive prediction of tilapia fillet freshness during storage at different temperatures by integrating an electronic nose and tongue with radial basis function neural networks, Food & Bioprocess Technology, 2018, pp. 1-13, (2018)
  • [8] SHI Ce, QIAN Jianping, HAN Shuai, Et al., Developing a machine vision system for simultaneous prediction of freshness indicators based on tilapia (Oreochromis niloticus) pupil and gill color during storage at 4℃, Food Chemistry, 243, pp. 134-140, (2018)
  • [9] HUANG Xingyi, XIN Junwei, ZHAO Jiewen, A novel technique for rapid evaluation of fish freshness using colorimetric sensor array, Journal of Food Engineering, 105, 4, pp. 632-637, (2011)
  • [10] LI Dongping, LI Qian, ZHANG Yuemei, Et al., Quality changes and microbiological spoilage analysis of air-packed and vacuum-packed silver carp (Hypophthalmichthys molitrix) fillets during chilled storage, Journal of Food Processing & Preservation, 42, 1, (2018)