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中国精品科技期刊2020
张季,凌蕾,卢叶,等. 基于IKnife-REIMS技术对地理标志保护产品习水麻羊产地溯源的研究[J]. 食品工业科技,2022,43(4):286−292. doi: 10.13386/j.issn1002-0306.2021050108.
引用本文: 张季,凌蕾,卢叶,等. 基于IKnife-REIMS技术对地理标志保护产品习水麻羊产地溯源的研究[J]. 食品工业科技,2022,43(4):286−292. doi: 10.13386/j.issn1002-0306.2021050108.
ZHANG Ji, LING Lei, LU Ye, et al. Research on the Origin Traceability of Geographical Indication Protection Products Xishui Brown Goat Based on IKnife-REIMS Technology[J]. Science and Technology of Food Industry, 2022, 43(4): 286−292. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2021050108.
Citation: ZHANG Ji, LING Lei, LU Ye, et al. Research on the Origin Traceability of Geographical Indication Protection Products Xishui Brown Goat Based on IKnife-REIMS Technology[J]. Science and Technology of Food Industry, 2022, 43(4): 286−292. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2021050108.

基于IKnife-REIMS技术对地理标志保护产品习水麻羊产地溯源的研究

Research on the Origin Traceability of Geographical Indication Protection Products Xishui Brown Goat Based on IKnife-REIMS Technology

  • 摘要: 本研究建立了一种采用快速蒸发电离质谱技术(REIMS)连接高分辨质谱快速鉴定习水麻羊的方法。通过对不同产地羊肉样品的实地收集、仪器采集参数优化(电压设定为40 V,长度2 cm,切口深度0.5 cm,切割时间2~3 s)和模型建立,得到一个实时溯源习水麻羊的检测方法。用主成分分析、偏最小二乘法判别分析建立模型,选取变量权重值(VIP)>1、方差分析非参数检验P值≤0.05条件下的标记化合物建立鉴定成分得分图、Loadings图和丰度图,找出差异大的特征标记物。结果表明:该模型有着良好的聚类分离效果,能区别于其它分组,方法识别准确率为97.32%。通过LIPID MAPS数据库鉴定出一些差异较大的特征化合物,例如鞘氨醇、磷脂酰肌醇、十七碳二烯酸、二十碳二烯酸和琥珀酸等。本实验方法不需要前处理,检测时间短、识别率高、结果稳定,为习水麻羊的产地溯源提供了新的鉴别思路。

     

    Abstract: In the reserch, a method for rapid identification of Xishui brown goat by rapid evaporative ionization mass spectrometry (REIMS) was established. This study obtained a real-time traceability detection method for Xishui brown goat conducting optimization of instrument parameters (The voltage was set to 40 V, the length was 2 cm, the incision depth was 0.5 cm, and the cutting time was 2 to 3 s) and model building after collection of lamb samples from different origins. Models were established using principal component analysis and partial least squares discriminant analysis, and marker compounds with variable weight value (VIP) >1 and ANOVA non-parametric test P value ≤0.05 were selected to establish identification component score plots, Loadings plots and abundance plots to identify the characteristic markers with large differences. The results showed that the model had good clustering separation effect and could be distinguished from other groupings with the identification accuracy of 97.32%. A number of characterized compounds with large difference were identified by LIPID MAPS database including sphingosine, phosphatidylinositol, heptadecadienoic acid, eicosadienoic acid and succinic acid. The developed testing method would provide a new identification idea for the origin traceability of Xishui brown goat with various advantages of pre-treatment free, short detection time, high recognition rate and stability.

     

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