利用近红外光谱建立牛肉理化品质预测模型  

Establishing Prediction Model of Physicochemical Qualities of Beef by Near Infrared Spectroscopy

作　　者：亐开兴[1,2] 吴金亮 杨凯 王喆[1,2] 赵刚[1] 张继才 高月娥[1,2] 王安奎[1] 杨国荣[1] 金显栋 QU Kai-xing;WU Jin-liang;YANG Kai;WANG Zhe;ZHAO Gang;ZHANG Ji-cai;GAO Yue-e;WANG An-kui;YANG Guo-rong;JIN Xian-dong(Yunnan Academy of Grassland and Animal Science,Kunming 650212,China;Yunnan Beef Cattle Engineering and Technology Research Center,Kunming 650212,China;Yunnan Animal Science and Veterinary Institute,Kunming 650224,China)

机构地区：[1]云南省草地动物科学研究院,昆明650212 [2]云南省肉牛工程技术研究中心,昆明650212 [3]云南省畜牧兽医科学院,昆明650224

出　　处：《草食家畜》2018年第5期14-23,共10页Grass-Feeding Livestock

基　　金：云南省科技创新及成果转化项目(2018BB028);后备人才培养对象项目(2018HB045);专家工作站项目(2015IC020);云南省现代农业肉牛产业技术体系设施与环境控制岗位项目(2017KJTX0015);国家肉牛牦牛产业技术体系项目(CARS-37)

摘　　要：对采自云南省5个群体52头肉牛背最长肌第6～7肋间上脑肉样按国标方法进行理化品质测定,采用近红外光谱对其进行扫描,通过偏最小二乘法建立了牛肉MT、EE、CP、Ash、Asp、Thr、Ala、Val、Ile、Leu、Tyr、Phe、Lys、His、Arg等含量的近红外光谱预测模型,各模型R2验正超过0.66,其中MT、EE、CP和Ash含量的近红外光谱预测模型的R2验正分别达到0.866、0.883、0.668和0.812,预测模型达到应用的水平,可用于日常牛肉理化品质快速、准确预测。The high ribs samples of Iongissimus dorsi at 6-7th rib from Fifty-two beef in 5 populations in Yunnan province were collected, of which, the physical and chemical quality of beef were measured according to national standards. Through near infrared spectrum （NIFS） scanning, the prediction models of partial least- square by NIRS were established, including moisture, fat, protein, ash contents and Asp, Thr, Ala, Val, lie, Leu, Tyr, Phe, Lys, His and Arg contents, of which, the validation coefficient determinations （R2ev） of prediction models by NIRS were more than 0.66, the counterparts related to moisture, fat, protein, ash contents were 0.866, 0.883, 0.668 and 0.812 respectively, the prediction models reached the application level, and could be used to rapidly and accurately predict the physicochemical qualities of beef in our daily life

关 键 词：牛肉 近红外光谱 理化品质 预测模型 

分 类 号：O657.3[理学—分析化学]