Environmental and exposomics researchers are faced with the daunting task of determining which chemicals, among other factors, may be either potentially detrimental or beneficial in the context of human and/or environmental health. Non-target screening (NTS) methods leveraging high resolution mass spectrometry (HRMS) approaches are now commonly used to explore complex samples due to high sensitivity and selectivity plus improved availability of HRMS instruments . Ion mobility spectrometry (IMS), which separates molecules based on their size and shape, is also increasingly accessible. The calculated collision cross section (CCS) values serve as an additional parameter to support identification in NTS . Nonetheless, the identification and -importantly -interpretation of features detected during NTS is still challenging, while integration of IMS/CCS into workflows remains poor, hindering the broader adoption of NTS . Identification in NTS primarily relies on mass spectral libraries, suspect lists (lists of hundreds or thousands of chemicals that may occur in the samples) and chemical databases, as recently reviewed elsewhere .