Quality assurance (QA) and quality control (QC) of adductomics analysis. QA and QC protocols should be followed to control and minimize fluctuations and biases that can affect the LC-HRMS adductomics workflow and data quality. The QA and QC guidelines developed for metabolomics \cite{Dudzik2018,Broadhurst2018,Beger2019} are applicable in assessing system performance and reporting the adductomics data due to the conceptual similarities in the techniques and workflows. Availability of reference standards corresponding to various 2′-deoxyribonucleoside adducts spanning over a wide range of chromatographic retention times and mass-to-charge ratios (m/z) is crucial to evaluate the performance of the analytical system in terms of mass error, shift in chromatographic retention time, peak shape and MS-fragmentation efficiency. Other important parameters to ensure the reliability and accuracy of analytical results are instrument calibration, method validation, evaluation of quality control samples, data quality assessment, batch-to-batch consistency, as well as personnel training and documentation. By implementing a comprehensive QC/QA program, laboratories can enhance the reliability, reproducibility, and validity of the adductome data, which are essential for the consistency of the environmental assessment and comparability of the results in longitudinal data sets.