Simultaneous Degradation Study of Isomers in Human Plasma by HPLC-MS/MS and Application of LEDA Algorithm for Their Characterization

This paper proposes a tandem mass spectrometry (MS/MS) approach in isomer recognition by playing in the energetic dimension of the experiment. The chromatographic set up (HPLC) was tuned to minimize the run time, without requiring high efficiency or resolution between the isomers. Then, the MS/MS properties were explored to solve the signal assignment by performing a series of energy resolved experiments in order to optimize the parameters, and by applying an interesting post-processing data elaboration tool (LEDA). The reliability of the new approach was evaluated, determining the accuracy and precision of the quantitative results through analysis of the isomer mixture solutions. Next, the proposed method was applied in a chemical stability study of human plasma samples through the simultaneous addition of a pair of isomers. In the studied case, only one of the isomers suffered of enzymatic hydrolysis; therefore, the influence of the stable isomer on the degradation rate of the other was verified. In order to monitor this process correctly, it must be possible to distinguish each isomer present in the sample, quantify it, and plot its degradation profile. The reported results demonstrated the effectiveness of the LEDA algorithm in separating the isomers, without chromatographic resolution, and monitoring their behavior in human plasma samples.

Automated summary

This paper proposes a new tandem mass spectrometry (MS/MS) approach for isomer recognition by utilizing the energetic dimension of the experiment. The method optimizes parameters and applies a post-processing data tool to solve the signal assignment problem. The reliability of the method is evaluated through analysis of isomer mixture solutions. The proposed method has been successfully applied in a chemical stability study of human plasma samples.