Discrimination of beef from different origins based on lipidomics: A comparison study of DART-QTOF and LC-ESI-QTOF

Abstract

The comparison of DART-QTOF and LC-ESI-QTOF was studied on the discrimination of beef from different origins based on lipidomics. Compared to LC-ESI-QTOF (+), DART-QTOF (+) is particularly suitable for smaller compounds analysis, and has better repeatability and stability. The data were screened based on detection rate, RSD value, fold change and P value, and library matching to obtain 852 and 879 raw peaks, 62 and 165 differential peaks and 17 and 25 potential markers in DART-QTOF (+) and LC-ESI-QTOF (+), respectively. Then, support vector machine (SVM) was constructed based on them and LC-ESI-QTOF (+) was superior to DART-QTOF (+) in SVM models, achieving a highest training accuracy of 100% and a validation accuracy of 89.91%. Based on LC-ESI-QTOF (+) and LC-ESI-QTOF (−), 40 potential markers were found, and beef samples from Canada, Argentina and New Zealand shared higher similarity, while beef samples from Brazil, Australia and Uruguay had more similarities. Considering the high efficiency, repeatability and stability of DART-QTOF acquisition, it is necessary to optimize its data acquisition and processing methods, in order to realize the faster assessment for lipidomics as well as food authenticity in the future.