食品科学 ›› 2020, Vol. 41 ›› Issue (4): 243-247.doi: 10.7506/spkx1002-6630-20181014-118

• 安全检测 • 上一篇    下一篇

低场核磁共振技术结合化学计量学方法定性、定量检测注水猪肉

盖圣美,张中会,游佳伟,邹玉峰,刘登勇   

  1. (1.渤海大学食品科学与工程学院,辽宁省食品安全重点实验室,生鲜农产品贮藏加工及安全控制技术国家地方联合工程研究中心,辽宁 锦州 121013;2.江苏省肉类生产与加工质量安全控制协同创新中心,江苏 南京 210095)
  • 出版日期:2020-02-25 发布日期:2020-03-02
  • 基金资助:
    国家自然科学基金青年科学基金项目(31501410);国家重大科学仪器设备开发专项(2013YQ17046308)

Qualitative and Quantitative Detection of Water-Injected Pork Using Low-Field Nuclear Magnetic Resonance Combined with Chemometrics

GAI Shengmei, ZHANG Zhonghui, YOU Jiawei, ZOU Yufeng, LIU Dengyong   

  1. (1. Food Safety Key Lab of Liaoning Province, National & Local Joint Engineering Research Centre of Storage, Processing and Safety Control Technology for Fresh Agricultural and Aquatic Products, College of Food Science and Technology, Bohai University, Jinzhou 121013, China; 2. Jiangsu Collaborative Innovation Center of Meat Production and Processing, Quality and Safety Control, Nanjing 210095, China)
  • Online:2020-02-25 Published:2020-03-02

摘要: 通过低场核磁共振技术与化学计量学相结合的方法对注水猪肉中的水分进行定性、定量检测。通过肌肉注射的方式向猪肉背最长肌中分别注入0%、5%、10%、15%、20%、25%的去离子水。结果表明,注水后不易流动水峰面积比(P21)显著减小,自由水弛豫时间(T22)、峰面积比(P22)显著增加(P<0.05)。通过一元线性回归(linear regression,LR)模型对猪肉中的水分含量做定量检测,得到相关系数rp为0.31,均方根误差(root mean square error,RMSE)为4.02%,优化后rp为0.45,RMSEp为1.79%。在此基础之上,选取多元线性回归(multiple linear regression,MLR)、偏最小二乘回归预测模型对猪肉中的水分含量进行定量检测,MLR模型得到最优预测结果rp为0.90,RMSEp为0.57%。综上所述,低场核磁共振技术结合化学计量学方法可作为注水猪肉定性、定量检测的一种有效方法。

关键词: 注水猪肉, 水分, 低场核磁共振, 定性、定量检测

Abstract: In the present paper, the qualitative and quantitative detection of water molecules in water-injected pork were implemented by using low-field nuclear magnetic resonance (NMR) combined with chemometrics. Longissimus dorsi muscles were adulterated with 0%, 5%, 10%, 15%, 20% and 25% of deionized water by intramuscular injection. The peak area proportion of immobilized water (P21) in water-injected pork showed a significantly decreasing trend (P < 0.05), while the relaxation time (T22) and peak area proportion (P22) of free water increased significantly (P < 0.05). Subsequently, a single-variable linear regression (LR) was developed to quantitatively detect the moisture content in pork with rp (correlation coefficient of prediction set) = 0.31, and RMSEp (root mean square error of prediction set) = 4.02%). The optimized rp and RMSEp were 0.45 and 1.79%, respectively. On this basis, a multiple linear regression (MLR) model and a partial least squares regression (PLSR) model were used to quantitatively predict the moisture content in pork. It turned out that the MLR model had better prediction performance (rp = 0.90, RMSEp = 0.57%) than the PLSR model. To sum up, low field nuclear magnetic resonance combined with chemometrics can be an effective method for qualitative and quantitative detection of water molecules in water-injected pork.

Key words: water-injected pork, moisture, low-field nuclear magnetic resonance, qualitative and quantitative detection

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