Consequently, integrating the Pinaceae family structural database with MS annotation tools resulted in a notable increase in annotated features. Interestingly, the Pinaceae contextualization of databases employed in NAP and SIRIUS processes enabled us to achieve 25% and 10% annotation rates, respectively, surpassing the 5% annotation rate achieved using the GNPS spectral library. However, the in silico annotation strategy is still limited by the accuracy of spectral prediction algorithms (e.g., the MS 2 predicted database generated by CFM-ID 4.0). According to LOTUS, this trend was also observed with NMR, where 16 of the 25 identified compounds were associated with the Pinaceae family. The remaining nine compounds were manually verified not to be genuinely related to any Pinaceae species: only dianthoside was an exception.(21) Furthermore, the last eight molecules correspond to substances that can be considered handling pollutants, such as butanol. Another concerns tannin, for which the complete molecular structure has not been elucidated. Others are not previously documented compounds, such as the myrtenic acid glycosides derivatives. The last molecules, piceatannol-3'-o-glucoside (i.e., a positional isomer of trans-astringin previously associated with Pinaceae), 2-[2,4-dihydroxy-6-(4-hydroxybenzoyl)oxyphenyl]acetic acid glycerol acetate and its hydrolysis product acetic acid, are likely the only compounds in the set that have never been described in Pinaceae, despite previous documentation. Given its meticulous compilation work, these results affirm our choice of considering LOTUS as the optimal starting point for contextualizing our databases.