Development and validation of a UHPLC-ESI-MS/MS method for the simultaneous determination of organic acids and phenolic compounds in Filipendula vulgaris, Polygonum divaricatum, Hypericum linarioides, and Rheum ribes

Abstract

This research focused on investigating biologically active and pharmaceutically important phytochemicals using reliable and reproducible analytical techniques specifically designed for traditional medicinal plants. Considering the complex chemical diversity present in plant extracts, reliable identification methods are crucial. The goal of this study was to develop and validate a robust UHPLC-ESI-MS/MS method for the qualitative and quantitative analysis of organic acids (OAs) and phenolic compounds (PCs). With gradient elution of water containing 0.1 % formic acid and acetonitrile containing 0.1 % formic acid as the mobile phase, OAs and PCs were separated chromatographically on a C18 reversed-phase column. Through the use of an electrospray ionization source operating in negative ionization mode, these compounds were identified on a triple quadrupole tandem mass spectrometer. The validation results clearly indicate that the method exhibited linearity with a squared correlation coefficient (R2 ≥ 0.9986), demonstrating sensitivity (LOQ: 1.08 µg/L-10.79 µg/L), precision (RSD%≤2.73), and trueness (RE% ≤ 1.53) for the OAs and PCs found in the plants. The developed UHPLC-ESI-MS/MS method was successfully applied to the qualitative and quantitative analysis of OAs and PCs in Turkish plants, which are commonly used in traditional medicine. Our study identified a total of 12 OAs and PCs in F. vulgaris, 12 in P. divaricatum, 9 in H. linarioides, and 11 in R. ribes. In particular, gallic acid had the highest content in F. vulgaris (925.67 µg/g extract) and R. ribes (1358.78 µg/g extract), while H. linarioides (730.66 µg/g extract) and P. divaricatum (4003.02 µg/g extract) had relatively high levels of quinic acid. In conclusion, the developed UHPLC-ESI-MS/MS method allows the simultaneous analysis and quantification of 2 OAs and 33 PCs in plants and proves to be a valuable tool for evaluating the efficacy of traditional medicinal plants.