Literature DB >> 23688798

Quantifying and predicting meat and meat products quality attributes using electromagnetic waves: an overview.

Jean-Louis Damez1, Sylvie Clerjon.   

Abstract

The meat industry needs reliable meat quality information throughout the production process in order to guarantee high-quality meat products for consumers. Besides laboratory researches, food scientists often try to adapt their tools to industrial conditions and easy handling devices useable on-line and in slaughterhouses already exist. This paper overviews the recently developed approaches and latest research efforts related to assessing the quality of different meat products by electromagnetic waves and examines the potential for their deployment. The main meat quality traits that can be assessed using electromagnetic waves are sensory characteristics, chemical composition, physicochemical properties, health-protecting properties, nutritional characteristics and safety. A wide range of techniques, from low frequency, high frequency impedance measurement, microwaves, NMR, IR and UV light, to X-ray interaction, involves a wide range of physical interactions between the electromagnetic wave and the sample. Some of these techniques are now in a period of transition between experimental and applied utilization and several sensors and instruments are reviewed.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Keywords:  Fluorescence; Infrared; Meat quality; Microwave; NMR; X-ray

Mesh:

Substances:

Year:  2013        PMID: 23688798     DOI: 10.1016/j.meatsci.2013.04.037

Source DB:  PubMed          Journal:  Meat Sci        ISSN: 0309-1740            Impact factor:   5.209


  10 in total

Review 1.  Hyperspectral Imaging (HSI) for meat quality evaluation across the supply chain: Current and future trends.

Authors:  Wenyang Jia; Saskia van Ruth; Nigel Scollan; Anastasios Koidis
Journal:  Curr Res Food Sci       Date:  2022-06-03

2.  Electrical Impedance to Easily Discover Undeclared Freeze-thaw Cycles in Slaughtered Bovine Meat.

Authors:  A H Dell'Osa; G Battacone; G Pulina; A Fois; F Tocco; A Loviselli; A Concu; F Velluzzi
Journal:  J Electr Bioimpedance       Date:  2021-03-30

Review 3.  Pork as a Source of Omega-3 (n-3) Fatty Acids.

Authors:  Michael E R Dugan; Payam Vahmani; Tyler D Turner; Cletos Mapiye; Manuel Juárez; Nuria Prieto; Angela D Beaulieu; Ruurd T Zijlstra; John F Patience; Jennifer L Aalhus
Journal:  J Clin Med       Date:  2015-12-16       Impact factor: 4.241

4.  High Throughput Multispectral Image Processing with Applications in Food Science.

Authors:  Panagiotis Tsakanikas; Dimitris Pavlidis; George-John Nychas
Journal:  PLoS One       Date:  2015-10-14       Impact factor: 3.240

Review 5.  Dielectric Spectroscopy in Biomaterials: Agrophysics.

Authors:  Dalia El Khaled; Nuria N Castellano; Jose A Gázquez; Alberto-Jesus Perea-Moreno; Francisco Manzano-Agugliaro
Journal:  Materials (Basel)       Date:  2016-04-27       Impact factor: 3.623

6.  Effect of Extracts Derived from Brown Algae (Sargassum horneri) on the Gel Property and Moisture Distribution of Hairtail Surimi Gel (Trichiurus haumela).

Authors:  Qiuyu Han; Yuxin Wang; Qianqian Chu; Bin Bao
Journal:  Foods       Date:  2022-01-30

Review 7.  A Review on Meat Quality Evaluation Methods Based on Non-Destructive Computer Vision and Artificial Intelligence Technologies.

Authors:  Yinyan Shi; Xiaochan Wang; Md Saidul Borhan; Jennifer Young; David Newman; Eric Berg; Xin Sun
Journal:  Food Sci Anim Resour       Date:  2021-07-01

8.  Theoretical Basis and Application for Measuring Pork Loin Drip Loss Using Microwave Spectroscopy.

Authors:  Alex Mason; Badr Abdullah; Magomed Muradov; Olga Korostynska; Ahmed Al-Shamma'a; Stefania Gudrun Bjarnadottir; Kathrine Lunde; Ole Alvseike
Journal:  Sensors (Basel)       Date:  2016-02-02       Impact factor: 3.576

9.  A Microwave Ring-Resonator Sensor for Non-Invasive Assessment of Meat Aging.

Authors:  Muhammad Taha Jilnai; Wong Peng Wen; Lee Yen Cheong; Muhammad Zaka ur Rehman
Journal:  Sensors (Basel)       Date:  2016-01-20       Impact factor: 3.576

Review 10.  Non-Destructive Spectroscopic Techniques and Multivariate Analysis for Assessment of Fat Quality in Pork and Pork Products: A Review.

Authors:  Christopher T Kucha; Li Liu; Michael O Ngadi
Journal:  Sensors (Basel)       Date:  2018-01-28       Impact factor: 3.576

  10 in total

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