For the initial quantification, the well-separated resonances in the conventional 1D 1 H spectrum are used, Fig. , such that a clear comparison can be made between the quantifications from the conventional 1 H and the DNN-PS spectra. Subsequently, the evaluation was done using highly overlapped peaks, Fig. . The measured signal integrations for kanamycin and glucose are monitored against the corresponding constituent concentration and shown in Fig. and two metrics were used, the Pearson correlation coefficients, r, and a normalized RMSD, 𝜌 ", which is normalized with the slope and the time taken for the experiment. Overall, the sensitivity of the spectra can be judged from the normalized RMSD of the linear plots in Fig. , since each point is an independent measurement and needs to follow a linear trend. It is seen for the overlapped peaks that the DNN-PS spectrum provides intensities with approximately 4 times smaller normalized RMSD, 𝜌 ", compared to the PSYCHE pure shift spectra and also higher Pearson correlation coefficients, r. As a result, the DNN-PS spectra can be utilized to quantify chemical constituents at ultrahigh resolution, while providing substantially higher sensitivity compared to the PSYCHE pure shift spectrum.