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Online Column Extraction Coupled with Double-Trap Column System for HPLC Determination of Valproic Acid in Human Plasma Without Derivatization

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Abstract

An automated online column extraction coupled with high-performance liquid chromatography (HPLC) and equipped with a double-trap column system was developed to determine valproic acid in human plasma without derivatization for routine therapeutic drug monitoring (TDM). 300 μL of plasma sample pretreated by precipitating the protein was injected into a Diamonsil C18 extraction column in the first focusing step. After the elution of the pretreated sample, the targets were transferred from the extraction column to a strong cation exchange trap column through “central cutting” mode in the second focusing step. Finally, the targets were transferred from the strong cation exchange trap column to reverse-phase C18 analytical column and were detected under an UV wavelength of 215 nm. In this method, the extraction system performs the sample injection, extraction, and transfer of targets from the extraction column to one trap column. Meanwhile, the analytical system performs the transfer of targets from other trap column to the analytical column, separation, and detection of targets. This method showed good linearity of calibration curve (R = 0.9999), precision (relative standard deviation (RSD) < 5.4%), and accuracy (within 5.6% in terms of relative error). Therefore, a promising approach was developed for routine monitoring of valproic acid concentration in human plasma.

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Acknowledgements

The authors would like to acknowledge the financial support received from Hunan Provincial People’s Hospital and the Central Hospital of Shaoyang.

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Correspondence to Yong Pan.

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Ethical approval of this research was obtained from the local research ethics committee (Hunan Cancer Hospital Ethics Committee).

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Li, W., Peng, M., Pan, Y. et al. Online Column Extraction Coupled with Double-Trap Column System for HPLC Determination of Valproic Acid in Human Plasma Without Derivatization. Chromatographia 84, 1049–1056 (2021). https://doi.org/10.1007/s10337-021-04089-w

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