A rapid sample preparation method for the analysis of stable isotope ratios of beef samples from different countries

文献类型： 外文期刊

第一作者： Zhao, Shanshan

作者： Zhao, Shanshan;Xu, Zhenzhen;Chen, Ailiang;Zhao, Yan;Zhao, Shanshan;Xu, Zhenzhen;Chen, Ailiang;Zhao, Yan;Zhang, Hongbo;Zhang, Bin

作者机构：

期刊名称：RAPID COMMUNICATIONS IN MASS SPECTROMETRY （ 影响因子：2.419； 五年影响因子：2.439 ）

ISSN： 0951-4198

年卷期： 2020 年 34 卷 13 期

页码：

收录情况： SCI

摘要： Rationale The use of multi-isotopic analyses to trace beef is gaining wider acceptance, but no uniform standard for the pretreatment method is available for the determination of stable isotope ratios. Drying and defatting of meat samples are usually applied. Thus, a rapid sample preparation procedure is required to provide a reference for the study of beef using stable isotope methods. Methods Student'st-test (T-test) was used to determine significant differences between the delta C-13 and delta N-15 values in traditional and rapid beef sample preparation methods. The delta C-13,delta N-15,delta H-2, and delta O-18 values of beef samples from six countries were assayed using elemental analyzer-isotope ratio mass spectrometry. Stable isotope data were subjected to principal component analysis, discriminant analysis, and partial least-squares discriminant analysis (PLS-DA). Results There was no significant difference (P > 0.05) between the delta C-13 and delta N-15 values of the two preparation approaches. A classification of satisfactory was obtained with the original-validation rate of 96.6% and the cross-validation rate of 95.9%. The PLS-DA model was correctly validated to differentiate beef samples from six countries. Conclusions We describe a rapid sample preparation method for beef samples. A model combining stable isotope data and chemometric methods correctly assigned the origin of beef samples from different countries. The results demonstrated the successful utilization of rapid pretreatment methods to prepare beef samples when using multiple stable isotope analyses to trace beef samples from different countries.

分类号：

  • 相关文献
作者其他论文 更多>>

微信小程序