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| Rapid Identification of Amino Acid Contents in Wuzhumuqin Sheep Meat by Near Infrared Spectroscopy |
| ZHAO Cun, XIE Yuchun, YANG Feng, CHE Tianyu, SU Xin, GUO Juntao, YONG Quan, LIU Zhihong, WANG Zhixin, LI Jinquan |
| 1. Goat Genetics and Breeding Technology Research Center, Inner Mongolia Autonomous Region, Key Laboratory of Mutton Sheep Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Key Laboratory of Animal Genetics, Breeding and Reproduction, Inner Mongolia Autonomous Region, College of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China; 2.Animal Disease Prevention and Control Center of East Wuzhumuqin Banner, Xilingol 026000, China |
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Abstract The purpose of this study was to quickly detect the contents of various amino acids in mutton by near infrared spectroscopy. Forty-two 6-month-old Wuzhumuqin sheep with similar body mass under the same feeding conditions were slaughtered to collect 126 muscle samples of Longissimus dorsi, Triceps brachii and Biceps femoris. Near infrared spectra of these samples were collected and the contents of amino acids in them were measured using an amino acid analyzer. A model for the quantitative prediction of 17 amino acids in Wuzhumuqin sheep meat was established by establishing correlation between the spectral data and the amino acid data using partial least squares (PLS) regression. Finally, the performance of the model was evaluated by root mean square error of cross-validation, determination coefficient of calibration, determination coefficient of validation, and ratio of the standard deviation of the validation set to the standard error of prediction (RPD). The model established in this study presented high predictive accuracy, and the determination coefficients of validation for the contents of total amino acids (TTA), essential amino acids (EAA), histidine (His) and lysine (Lys) were 0.818, 0.803, 0.861 and 0.858, respectively. The external verification of the prediction model showed that the RPD values for EAA, histidine, arginine, serine, glutamic acid, glycine and lysine contents were all higher than 1.74, and the value for TAA content was 2.60. Due to its high accuracy, the prediction model is applicable to rapidly determine amino acid contents in mutton.
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2020, Vol. 34 
