Chemical Derivatization‐Based Liquid Chromatography‐Mass Spectrometry Method for Fatty Acid Profiling in Biological Samples

Fatty acids (FAs) are important metabolites for various biochemical functions in living organisms, including energy storage, cell structure, and cell signaling. Changes in FAs composition were significantly related to abnormal metabolic levels and body status. In this study, the derivatization-based liquid chromatography-quadrupole-orbitrap mass spectrometry method was established for FA analysis under parallel reaction monitoring mode. The 4-amino-1-benzylpiperidine (4A1BP) was used as a derivatization reagent to amide with FAs. The results showed that protonated molecules of FA+4A1BP-H<sub>2</sub>O were observed, and characteristic fragment ions at m/z 174.1280 and 91.0548 were detected in the tandem mass spectrum. The derivatization method was optimized in terms of sample preparation, chromatographic separation, and mass spectrometric conditions. The linearity, stability, and repeatability of the method were also investigated with good results. Finally, we applied the established method to analyze the serum and liver tissue samples, successfully evaluating the efficacy of Qizha Shuangye granules in the treatment of hyperlipidemia rats. The established method has broad utility and great potential in the detection of FAs, which can provide technical support for disease mechanism research, biomarker discovery, as well as food quality assurance, and nutritional value evaluation.

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Publication Details

Journal
Journal of Separation Science
Published
2025-07-01
DOI
https://doi.org/10.1002/jssc.70211
Citations
2
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
1.61
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article

Chemical Derivatization‐Based Liquid Chromatography‐Mass Spectrometry Method for Fatty Acid Profiling in Biological Samples

Jingxuan Yang, Yang Wang, Yi Wu, Meng Li et al.
2 citations
Journal of Separation Science
Metabolomics and Mass Spectrometry Studies
1.61
article

Chemical Derivatization‐Based Liquid Chromatography‐Mass Spectrometry Method for Fatty Acid Profiling in Biological Samples

Jingxuan Yang, Yang Wang, Yi Wu, Meng Li, Wenjun Guo, Liang Zhao, Yajuan Xu
article en
2 citations

Abstract

Fatty acids (FAs) are important metabolites for various biochemical functions in living organisms, including energy storage, cell structure, and cell signaling. Changes in FAs composition were significantly related to abnormal metabolic levels and body status. In this study, the derivatization-based liquid chromatography-quadrupole-orbitrap mass spectrometry method was established for FA analysis under parallel reaction monitoring mode. The 4-amino-1-benzylpiperidine (4A1BP) was used as a derivatization reagent to amide with FAs. The results showed that protonated molecules of FA+4A1BP-H<sub>2</sub>O were observed, and characteristic fragment ions at m/z 174.1280 and 91.0548 were detected in the tandem mass spectrum. The derivatization method was optimized in terms of sample preparation, chromatographic separation, and mass spectrometric conditions. The linearity, stability, and repeatability of the method were also investigated with good results. Finally, we applied the established method to analyze the serum and liver tissue samples, successfully evaluating the efficacy of Qizha Shuangye granules in the treatment of hyperlipidemia rats. The established method has broad utility and great potential in the detection of FAs, which can provide technical support for disease mechanism research, biomarker discovery, as well as food quality assurance, and nutritional value evaluation.

Journal of Separation ScienceVol. 48(7)
Changchun University of Chinese Medicine (CN), Jilin Academy of Traditional Chinese Medicine (CN)
Zero hunger
Openalex Percentile: Top 16%
Metabolomics and Mass Spectrometry Studies
1.61
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Chemical Derivatization‐Based Liquid Chromatography‐Mass Spectrometry Method for Fatty Acid Profiling in Biological Samples — Jingxuan Yang, Yang Wang, et al. · Journal of Separation Science (2025) | TGRS Research Map | TGRS