In this manuscript, an isotopologue classification model is proposed that requires no prior knowledge of the molecular composition or arbitrary tolerances. The Naive Bayes classification model was generated using elemental mass defects, for which the potential in isotopologue detection was explored. For performance evaluation of the classification model, a comparison was made with an "in-house" developed mass difference method. This comparison was performed for both theoretical isotopic patterns and wastewater influent samples.