Objective To analyze the re-inspection results of 4 types of aflatoxins in wheat and its products inspected in He’nan Province in 2023，a simple evaluation method was attempted to establish.Methods A total of 51 samples of wheat and its products were sampled from 15 cities within the province for national routine and provincial emergency monitoring projects. Simultaneous retesting of aflatoxin tricothecene A （TeA）， T-2 toxin（TEN）， ochratoxinA （AOH） and ochratoxin A methyl ester （AME） in the sample was conducted using liquid chromatography-tandem mass spectrometry with internal standardmethod. The relativedeviation（RD） between the two detection results was classified and statistically analyzed to evaluate the detection performance of different detection institutions and projects.Results The provincial disease control laboratory showed better performance in controlling data variability， with 60.4% of RD data points within 30%， followed by the special project laboratory and the nine prefecture-level city laboratories showed the lowest performance. Among the four detection projects， TeA and TEN showed high sensitivity and good response， with 64.7% of RD data points within 30%， while AOH and AME showed relatively poor performance. The higher the order of magnitude of the result value， the better the consistency and reliability of the detection results.Conclusion The stratification of RD indicates the quality of detection data， reflecting the consistency and accuracy of the detection process and the level of quality control of the detection projects. By analyzing the RD of different detection projects， the detection quality can be effectively identified. Most of the detection results of the samples have high consistency， indicating that the detection institutions have performed well overall. However， some detection projects or areas have higher relative deviations， requiring more attention and improvement. Further investigation of the causes and adoption of corresponding measures to reduce variability is needed to provide a basis for subsequent quality control.