Using near infrared spectroscopy to predict the physical traits of Bos grunniens meat

文献类型： 外文期刊

第一作者： Zhang, Li

作者： Zhang, Li;Sun, Baozhong;Xie, Peng;Li, Haipeng;Su, Huawei;Sha, Kun;Huang, Caixia;Lei, Yuanhua;Liu, Xuan;Wang, Huan

作者机构：

关键词： Near infrared spectroscopy;Meat;Quality;Bos grunniens

期刊名称：LWT-FOOD SCIENCE AND TECHNOLOGY （ 影响因子：4.952； 五年影响因子：5.383 ）

ISSN：

年卷期：

页码：

收录情况： SCI

摘要： The purpose of the current study was to evaluate the use of near infrared spectroscopy to predict the physical traits of yak (Bos grunniens) meat. Near infrared spectra data of M. longissimus thoracis from 162 yaks were collected, as well as physical traits data. Prediction models of physical traits using near infrared spectroscopy were established through partial least squares regression (PLSR) combined with mathematical pretreatments such as orthogonal signal corrections (OSC) and detrending corrections (DT). The coefficients of determination of calibration (R-C(2)) of prediction models were higher than 0.6 except WBSF. The ratio performance deviation for a* and b* values and their derived values SI and HA exceeded 2.0, which are suitable for screening. Through modeling separately for steers and heifers, we found that prediction ability for cooking loss would be increased but for b* would be decreased. Conclusively, near infrared spectroscopy is useful for predicting physical traits of yak meat and could be a potential tool for monitoring beef quality of the yak. (C) 2015 Elsevier Ltd. All rights reserved.

分类号： TS2

  • 相关文献

[1]Seroprevalence and Risk Factors of Fascioliasis in Yaks, Bos grunniens, from Three Counties of Gansu Province, China. Zhang, Xiao-Xuan,Ma, Jian-Gang,Zheng, Wen-Bin,Zhao, Quan,Zhang, Xiao-Xuan,Feng, Sheng-Yong,Ma, Jian-Gang,Zheng, Wen-Bin,Yin, Ming-Yang,Qin, Si-Yuan,Zhou, Dong-Hui,Zhu, Xing-Quan. 2017

[2]Effect of dietary fatty acids on serum parameters, fatty acid compositions, and liver histology in Shaoxing laying ducks. Liu, Wei-meng,Lu, Li-zhi,Zhang, Jing,Tao, Zheng-rong,Shen, Jun-da,Li, Guo-qin,Wang, De-qian,Li, Jin-jun,Tian, Yong,Liu, Wei-meng,Lai, Shu-jing,Shi, Fang-xiong,Zhang, Jing,Liu, Yu,Yu, Bo. 2011

[3]Effectiveness of a 95 SNP panel for the screening of breed label fraud in the Chinese meat market. Rogberg-Munoz, A.,Ripoli, M. V.,Carino, M. H.,Liron, J. P.,Peral-Garcia, P.,Giovambattista, G.,Rogberg-Munoz, A.,Wei, S.,Guo, B. L.,Wei, Y. M.,Prando, A. J.,Vaca, R. J. A..

[4]Invited review: mesenchymal progenitor cells in intramuscular connective tissue development. Miao, Z. G.,Miao, Z. G.,Zhang, L. P.,Fu, X.,Yang, Q. Y.,Dodson, M. V.,Du, M.,Zhang, L. P.,Zhu, M. J..

[5]Relationship Between Protein Denaturation and Water Holding Capacity of Pork During Postmortem Ageing. Li, Xia,Wei, Xiuli,Wang, Hang,Zhang, Chun-hui,Mehmood, Waris. 2018

[6]Association of LXRA gene variants with carcass and meat quality traits in beef cattle. Gan, Qianfu,Xu, Shangzhong,Gan, Qianfu,Zhang, Lupei,Xu, Shangzhong,Li, Hengde,Li, Junya,Gao, Xue,Ren, Hongyan,Chen, Jinbao. 2008

[7]Different actions of salt and pyrophosphate on protein extraction from myofibrils reveal the mechanism controlling myosin dissociation. Shen, Qingwu W.,Shen, Qingwu W.,Wang, Zhenyu,Liu, Yue,Gao, Yuan,Zhang, Dequan,Swartz, Darl R..

[8]Rapid Determination of Chlormequat in Meat by Dispersive Solid-Phase Extraction and Hydrophilic Interaction Liquid Chromatography (HILIC)-Electrospray Tandem Mass Spectrometry. Li, Chunmei,Jin, Fen,Qi, Yamei,Shi, Xiaomei,Wang, Miao,Shao, Hua,Jin, Maojun,Wang, Jing,Li, Chunmei,Yang, Mingqi,Yu, Zhiyong.

[9]Foreign meat identification by DNA breed assignment for the Chinese market. Rogberg-Munoz, A.,Ripoli, M. V.,Carino, M. H.,Castillo, N.,Villegas Castagnaso, E. E.,Liron, J. P.,Morales Durand, H. F.,Peral-Garcia, P.,Giovambattista, G.,Wei, S.,Guo, B. L.,Wei, Y. M.,Melucci, L.,Villarreal, E..

[10]Simple and sensitive monitoring of beta(2)-agonist residues in meat by liquid chromatography-tandem mass spectrometry using a QuEChERS with preconcentration as the sample treatment. Xiong, Lin.

[11]Research on Error Reduction of Path Change of Liquid Samples Based on Near Infrared Trans-Reflective Spectra Measurement. Wang Ya-hong,Dong Da-ming,Zheng Wen-gang,Wang Wen-zhong,Wang Ya-hong,Zhou Ping,Ye Song,Wang Wen-zhong. 2014

[12]Research on Optimization of Wheat Seed Germination Rate NIR Model Based on Si-cPLS. Wu Jing-Zhu,Dong Wen-Fei,Dong Jing-Jing,Chen Yan,Mao Wen-Hua,Liu Cui-Ling,Wu Jing-Zhu,Mao Wen-Hua. 2017

[13]Variable selection based near infrared spectroscopy quantitative and qualitative analysis on wheat wet gluten. Lu, Chengxu,Zhang, Yinqiao,Wei, Chongfeng,Mao, Wenhua,Jiang, Xunpeng,Zhou, Xingfan,Zhang, Naiqian. 2017

[14]Study on the Near Infrared Model Development of Mixed Liquid Samples by the Algorithm of OSC-PLS. Wang, Dong,Ye, Shengfeng,Min, Shungeng,Wang, Dong,Ma, Zhihong. 2011

[15]Rapid Analysis of Apple Leaf Nitrogen using Near Infrared Spectroscopy and Multiple Linear Regression. Zhang, Guang-Cai,Yan, Xiang-Mei,Zhou, Ping,Lin, Guo-Lin,Zhou, Chong-Jun,Liu, Ning,Han, Xiao-Ri,Zhang, Guang-Cai,Li, Zhuang,Cheng, Cun-Gang,Yan, Xiang-Mei. 2012

[16]Prediction of black tea fermentation quality indices using NIRS and nonlinear tools. Dong, Chunwang,Zhao, Jiewen,Chen, Quansheng,Dong, Chunwang,Zhu, Hongkai,Wang, Jinjin,Yuan, Haibo. 2017

[17]Temperature Compensation for Portable Vis/NIR Spectrometer Measurement of Apple Fruit Soluble Solids Contents. Li Yong-yu,Wang Jia-hua,Qi Shu-ye,Tang Zhi-hui,Jia Shou-xing. 2012

[18]Feasibility of Using NIR Spectroscopy to Detect Melamine in Milk. Dong Yi-wei,Liu Ya-wei,Wang Ya-nan,Huang Jin-li,Sun Bao-li,Fan Zhong-nan,Tu Zhen-hua,Zhu Da-zhou. 2009

[19]Determination of internal qualities of Newhall navel oranges based on NIR spectroscopy using machine learning. Liu, Cong,Yang, Simon X.,Liu, Cong,Deng, Lie.

[20]Identification of Camellia Oils by Near Infrared Spectroscopy Combined with Chemometrics. Zhu Xiang-Rong,Li Gao-Yang,Shan Yang,Shang Xue-Bo,Huang Lu-Hong,Shuai Ming. 2011

作者其他论文 更多>>

微信小程序