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中国精品科技期刊2020
蔡雨静,张振宇,王彩玲,等. 电子鼻、电子舌结合SPME-GC-MS对青海玉树牦牛肉挥发性化合物分析[J]. 食品工业科技,2023,44(16):348−357. doi: 10.13386/j.issn1002-0306.2022100236.
引用本文: 蔡雨静,张振宇,王彩玲,等. 电子鼻、电子舌结合SPME-GC-MS对青海玉树牦牛肉挥发性化合物分析[J]. 食品工业科技,2023,44(16):348−357. doi: 10.13386/j.issn1002-0306.2022100236.
CAI Yujing, ZHANG Zhenyu, WANG Cailing, et al. Application of Electronic Nose, Electronic Tongue Intelligent Detection Combined with SPME-GC-MS in the Identification of Flavor Characteristics of Yushu Yak[J]. Science and Technology of Food Industry, 2023, 44(16): 348−357. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2022100236.
Citation: CAI Yujing, ZHANG Zhenyu, WANG Cailing, et al. Application of Electronic Nose, Electronic Tongue Intelligent Detection Combined with SPME-GC-MS in the Identification of Flavor Characteristics of Yushu Yak[J]. Science and Technology of Food Industry, 2023, 44(16): 348−357. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2022100236.

电子鼻、电子舌结合SPME-GC-MS对青海玉树牦牛肉挥发性化合物分析

Application of Electronic Nose, Electronic Tongue Intelligent Detection Combined with SPME-GC-MS in the Identification of Flavor Characteristics of Yushu Yak

  • 摘要: 为寻找青海玉树牦牛肉挥发性化合物差异,以牦牛前胸、前腿、背部、后腿四个部位为研究对象,采用电子鼻、电子舌智能检测,结合SPME-GC-MS,对牦牛肉风味、滋味和挥发性物质做主成分(PCA)、聚类(CA)、相关性分析(Pearson)。结果表明:电子舌味觉强度差异明显,表明牦牛肉不同部位滋味差异较大,且样品HT滋味优于其他样品。电子鼻主成分分析结果表明HT、HB、QT靠近X轴,气味特征相似,样品QX远离X轴与其他样品差异较大。牦牛肉共检测出57种挥发性化合物,包括:醛类(12种)、醇类(11种)、烃类(11种)、酸类(5种)、酮类(3种)、其他杂类含硫化合物(15种);其中,苯甲醛、壬醛、2-乙基-1-己醇、间二甲苯、烯丙基甲基硫醚、2-乙酰吡咯在牦牛肉后腿含量都明显区别于其他部位,显示牦牛肉后腿风味与其他部位差异较大。这与电子鼻数据分析相同;研究结果为今后牦牛肉烹饪加工工艺和风味特征辨别提供理论依据和数据参考。

     

    Abstract: The current study aimed to investigate the difference of volatile compounds in Qinghai Yushu yak. In this experiment, brisket, round, tenderloin, bottom round of yak was taken as the research object, the electronic nose, electronic tongue intelligent detection combined with the solid-phase microextraction-gas chromatography-mass spectrometry method (SPME-GC-MS) to analyze the flavor, the principal component analysis (PCA), the cluster analysis (CA) and correlation analysis (Pearson) of yak meat. The results showed that the taste intensity of electronic tongue was significantly different, the taste of different parts of yak meat was significantly different, and the taste of sample HT was better than that of other samples. The principal component analysis results of electronic nose showed that HT, HB and QT were close to the X axis, and the odor characteristics were similar. A total of 57 volatile compounds were detected in yak meat, including aldehydes (12 kinds), alcohols (11 kinds), hydrocarbons (11 kinds), acids (5 kinds), ketones (3 kinds), and other miscellaneous sulfur compounds (15 kinds). Among them, the results of PCA-GC-MS showed the contents of benzaldehyde, nonaldehyde, 2-ethyl-1-hexanol, m-xylene, allyl methyl sulfide and 2-acetylpyrrole in the bottom round of yak were significantly different from those in other parts, indicating that the flavor of bottom round of yak was significantly different from that in other parts which was the same as the results of electronic nose PCA showed that data analysis. The results would provide a theoretical basis and a data reference for the processing technology and flavor characteristic identification of yak in the future.

     

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