A method to detect water-injected pork based on bioelectrical impedance technique
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The objective of this study was to detect water-injected pork using electrical impedance spectroscopy (EIS) and an artificial intelligence model in a rapid, accurate, and minimally destructive method. Pork loins were injected with water (0%, 3.5%, 7%, 10.5%, 14% and 17.5%, respectively) and physicochemical measurements including cooking loss, pressing loss, color, and textural properties were evaluated after injection. Results indicated that injection of water negatively affected physicochemical characteristics of meat samples (P < 0.05). Water-injected pork had increased cooking loss and pressing loss. There were also significant differences found in color and textural properties. In addition, prediction models for the correlation between impedance magnitude and water injection rate of meat samples were established using support vector regression (SVR) and partial least square regression (PLSR). The results showed that both models performed well at different water injection rate. The model based on SVR obtained optimal performance. From the analysis of meat samples, the accuracy of SVR, which yielded 85.3%, was superior to that of PLSR with accuracy of 84.0%. EIS could be a potential technique for detecting water-injected porcine meat produced in the pork industry.
KeywordsPork loins Water-injected Electrical impedance spectroscopy SVR PLSR
This contribution funded by National Nature Science Foundation of China (Grant No. 31271861). We wish to express our sincere thanks for their availability and help.
- 5.S. Gai, Z. Zhang, Y. Zou, D. Song, F. Wei, D. Liu (2017) Analysis of water relaxation characteristics of water-injected pork by low-field nuclear magnetic resonance. J. Food Saf. Qual. 06, 1980–1986Google Scholar
- 6.Z. Liu, M. Li, F. Gan, W. Zhang, R. Wang (2017) Ultrasonic nondestructive testing device for water-injected meat and extraction of feature threshold. Food Mach. 04, 70–74Google Scholar
- 7.Z. Zhang, S. Gai, Y. Zou, F. Wei, Z. Yang, Y. Han, D. Liu (2018) Effects of different water-injected ratios on eating quality of pork. Sci. Technol. Food Ind. 03, 1–5+11Google Scholar
- 8.D.M. Hao, Y.N. Zhou, Y. Wang, S. Zhang, Y.M. Yang, L. Lin, G. Li, X.L. Wang, Recognition of water-injected meat based on visible/near-infrared spectrum and sparse representation. Spectrosc. Spectral Anal. 35(1), 93–98 (2015)Google Scholar
- 9.Z. Li, N. Ren, Y. Ma, L. Yingying, W. Guo (2017) Determination of illegal drugs for water-retaining in fresh meat by UPLC-MS/MS. Food Sci. 07, 1–10Google Scholar
- 33.G.M. Suliman, E.O.S. Hussein, A.N. Al-Owaimer, Improving mature camel-meat quality characteristics with calcium chloride injection. J. Camel Pract. Res. 20(1), 53–57 (2013)Google Scholar
- 36.M. Petracci, L. Laghi, S. Rimini, P. Rocculi, F. Capozzi, C. Cavani, Chicken breast meat marinated with increasing levels of sodium bicarbonate. J. Poult.Sci. 51(2), 206–212 (2014)Google Scholar
- 37.R. Masot, M. Alcaniz, A. Fuentes, F.C. Schmidt, J.M. Barat, L. Gil, D. Baigts, R. Martinez-Manez, J. Soto, Design of a low-cost non-destructive system for punctual measurements of salt levels in food products using impedance spectroscopy. Sensors Actuators A 158(2), 217–223 (2010)CrossRefGoogle Scholar
- 38.P.Y. Guo, J.J. Xu, P. Xu, X.D. Dong, Y.F. Liu, S.X. Xing, M. Sun, in Identifying 1method of meat containing excessive moisture based on hyperspectral and SVM multi-information fusion, ed by S.A. Hamouda, M. Mirzaei, Z. Yu. International Seminar on Applied Physics, Optoelectronics and Photonics (E D P Sciences Cedex A, 2016)Google Scholar
- 40.Y.X. Fan, Y.T. Liao, F. Cheng, Prediction of minced pork quality attributes using visible and near infrared reflectance spectroscopy. Spectrosc. Spect. Anal. 31(10), 2734–2737 (2011)Google Scholar