Rapid and Non-Destructive Detection of Water-Injected Pork Using Low-Field Nuclear Magnetic Resonance (LF-NMR) and Magnetic Resonance Imaging (MRI)

Author:

Gai Shengmei12,Zhang Zhonghui1,Zou Yufeng3,Liu Dengyong124

Affiliation:

1. College of Food Science and Technology, Bohai University, Jinzhou, Liaoning 121013, China

2. National & Local Joint Engineering Research Centre of Storage, Processing and Safety Control Technology for Fresh Agricultural and Aquatic Products, 121013Jinzhou, China

3. Key Lab of Meat Processing and Quality Control, Ministry of Education, Jiangsu Collaborative Innovation Center of Meat Processing and Quality Control, College of Food Science and Technology, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China

4. Jiangsu Collaborative Innovation Center of Meat Processing and Quality Control, College of Food Science and Technology, Nanjing, Jiangsu 210095, China

Abstract

AbstractThe challenges of food adulteration such as illegal production of water-injected meat remain serious in many areas of the world. This study investigated the feasibility of using LF-NMR and MRI to identify water-injected pork. Longissimus dorsi muscles were injected with 0 %, 5 %, 10 %, 15 %, 20 % and 25 % content of deionized water, respectively. The CPMG decay curves of water-injected pork decayed slower than that of the normal. The peak area proportion of immobilized water of water-injected pork decreased while relaxation time and peak area proportion of free water increased significantly (p < 0.05). The first two principal components (PCs) of PCA accounted for 54.54 % and 32.06 % of the observed variance, respectively. Based on the two PCs, the water-injected pork could be differentiated from the normal. Furthermore, the accumulation location of the injected-water in pork could be visualized by MRI. Therefore, LF-NMR combined with MRI offers an effective method for the detection of water-injected pork.

Publisher

Walter de Gruyter GmbH

Subject

Engineering (miscellaneous),Food Science,Biotechnology

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