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中国精品科技期刊2020
田晓静, 刘元林, 龙鸣, 陈士恩, 高丹丹, 李明生, 马忠仁. 基于质地特性的羊肉产地鉴别[J]. 华体会体育, 2018, 39(18): 214-217. DOI: 10.13386/j.issn1002-0306.2018.18.037
引用本文: 田晓静, 刘元林, 龙鸣, 陈士恩, 高丹丹, 李明生, 马忠仁. 基于质地特性的羊肉产地鉴别[J]. 华体会体育, 2018, 39(18): 214-217. DOI: 10.13386/j.issn1002-0306.2018.18.037
TIAN Xiao-jing, LIU Yuan-lin, LONG Ming, CHEN Shi-en, GAO Dan-dan, LI Ming-sheng, MA Zhong-ren. Traceability of Mutton Origin Based on Texture Characteristics[J]. Science and Technology of Food Industry, 2018, 39(18): 214-217. DOI: 10.13386/j.issn1002-0306.2018.18.037
Citation: TIAN Xiao-jing, LIU Yuan-lin, LONG Ming, CHEN Shi-en, GAO Dan-dan, LI Ming-sheng, MA Zhong-ren. Traceability of Mutton Origin Based on Texture Characteristics[J]. Science and Technology of Food Industry, 2018, 39(18): 214-217. DOI: 10.13386/j.issn1002-0306.2018.18.037

基于质地特性的羊肉产地鉴别

Traceability of Mutton Origin Based on Texture Characteristics

  • 摘要: 为实现羊肉产地快速、客观的鉴别,本文利用质地特性对甘肃山丹、东乡、兰州、靖远4个不同产地羊肉进行分析,并研究其持水性及质地特性的变化规律。对不同产地的羊肉进行定性区分和定量分析,结果表明:不同地域羊肉具有其独特的质地特性,靖远羊肉的嫩度和弹性最高;兰州羊肉的弹性、嫩度、内聚性最低,其持水性和硬度最高;羊肉的质地特征来看,尤以靖远羊肉品质为佳。采用质地特性参数结合多元统计分析(主成分分析、典则判别分析和线性判别分析)对羊肉产地进行鉴别,结果发现,主成分分析和典则判别分析均可定性识别不同产地羊肉;线性判别分析建立的羊肉地域判别模型,对四个产地羊肉的正确识别率达到70%,利用质地特性在羊肉产地的鉴别中具有可行性。此研究结果为羊肉产地的鉴别提供参考。

     

    Abstract: Aiming at rapid and objective tracing mutton origin, the texture characteristics and physicochemical parameters of mutton samples produced in Shandan, Dongxiang, Lanzhou and Jingyuan were detected by texture analyzer and traditional detection methods, and analyzed by qualitative and quantitative methods. Tenderness, water holding capacity, hardness, springiness, cohesiveness and chewiness were analyzed by LSD multiple test, and the results showed that the eating quality of mutton from different region varied from each other. Mutton from Jingyuan displayed higher tenderness and springiness, mutton of Lanzhou had the lowest springiness, cohesiveness and tenderness, while its water holding capacity and hardness were the highest. Judging from the texture parameters, mutton from Jingyuan possessed the best quality. When the texture parameters were combined with multivariate data analysis methods of Principle component analysis (PCA), canonical discriminant analysis (CDA) and linear discriminant analysis (LDA), the results showed that PCA and CDA could discriminated the origin of four mutton samples, and discrimination models built by LDA could predict the origin of mutton with correct precise of 70%. The results demonstrated that the texture characteristics could be used to authenticate the origins of mutton. This method could also provide reference for origin traceability of other foodstuff.

     

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