Research Progress of Non-destructive Testing Technology in Beef Quality

被引：0
|
作者：
Yang X. [1 ]
Liu H. [2 ]
Liu N. [2 ]
Sun L. [2 ]
Li Y. [1 ]
Qie M. [1 ]
Zhao S. [1 ]
Bai L. [1 ]
Zhao Y. [1 ]
机构：
[1] Institute of Quality Standard & Testing Technology for Agro-products, Key Laboratory of Agro-product Quality and Safety, Chinese Academy of Agricultural Sciences, Beijing
[2] TongLiao Agricultural and Livestock Product Quality and Safety Center, Tongliao
来源：
Science and Technology of Food Industry | 2024年 / 45卷 / 11期
关键词：
beef; E-nose; E-tongue; hyperspectral imaging; near-infrared spectroscopy; non-destructive testing; quality; Raman spectroscopy;
D O I：
10.13386/j.issn1002-0306.2023070265
中图分类号：
学科分类号：
摘要：
Beef is rich in nutrients and is one of the favored meats among consumers. Market price, consumer willingness to buy and satisfaction are affected by the quality of beef, so it is important to test the quality of beef. At present, traditional beef quality testing methods have the problems of time-consuming, sample damage and complex operation. Recently, nondestructive testing technology has been widely used in beef quality testing because of its advantages of rapidity, high efficiency, non-destructive and environment-friendly. This paper summarises the progress of non-destructive testing technology in beef quality analysis (sensory quality, nutritional quality and other quality), and systematically describes the principles of non-destructive testing techniques such as near-infrared spectroscopy, Raman spectroscopy, hyperspectral imaging, E-tongue and E-nose. The progress of non-destructive testing techniques in beef quality analysis within the last five years is discussed in detail. The existing problems of non-destructive testing technology in beef quality analysis are put forward, and the future application prospect is prospected. It hopes to provide a reference for the research and application of non-destructive testing technology for beef quality. © The Author(s) 2024.
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页码：37 / 46
页数：9
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共 71 条
  • [1] AN R, NICKOLS-RICHARDSON M S, KHAN N, Et al., Impact of beef and beef product intake on cognition in children and young adults:A systematic review[J], Nutrients, 11, 8, (2019)
  • [2] REVILLA I, VIVAR-QUINTANA A M, INMACULADA GONZALEZ-MARTIN M, Et al., NIR spectroscopy for discriminating and predicting the sensory profile of dry-cured beef "Cecina"[J], Sensors, 20, 23, (2020)
  • [3] ARIANNA G, JEAN-FRANCOIS H, ERIKA P, Et al., Hand-held near-infrared spectrometer allows on-line prediction of beef quality traits, Meat Science, (2022)
  • [4] PIAO S, OKURA T, IRIE M., On-site evaluation of wagyu beef carcasses based on the monounsaturated, oleic, and saturated fatty acid composition using a handheld fiber-optic near-infrared spectrometer[J], Meat Science, 137, (2018)
  • [5] PATEL N, TOLEDO-ALVARADO H, CECCHINATO A, Et al., Predicting the content of 20 minerals in beef by different portable near-infrared (NIR) spectrometers[J], Foods, 9, 10, (2020)
  • [6] ZHANG K X, WU J L, YANG K, Et al., Establishing prediction model of physicochemical qualities of beef by near infrared spectroscopy[J], Grass-Feeding Livestock, 5, (2018)
  • [7] MADURO D C S A M, NUNES H P, MELO T M M, Et al., Application of near infrared reflectance (NIR) spectroscopy to predict the moisture, protein, and fat content of beef for gourmet hamburger preparation[J], Livestock Science, 254, (2021)
  • [8] SU H, ZHANG S, LI H, Et al., Using near-infrared reflectance spectroscopy to predict physical parameters of beef[J], Spectroscopy Letters, 51, 4, (2018)
  • [9] GUO L L, HUA J, ZHANG L H, Et al., Detection of total volatile basic nitrogen in different kinds of meat based on near infrared spectroscopy[J], Journal of Food Safety & Quality, 9, 11, pp. 2739-2743, (2018)
  • [10] LOPEZ-MAESTRESALAS A, INSAUSTI K, JAREN C, Et al., Detection of minced lamb and beef fraud using NIR spectroscopy[J], Food Control, 98, (2019)
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