Liquid-Chromatographic Methods for Carboxylic Acids in Biological Samples
Takuya Fujiwara1, Ryoto Inoue1, Takuma Ohtawa1
1Graduate School of Pharmaceutial Sciences, The University of Tokyo, Tokyo 1130033, Japan.
Quantifying carboxyl-bearing compounds like organic acids is crucial for understanding metabolic pathways and diagnosing diseases such as cancer and diabetes. This review summarizes analytical methods for these vital biomolecules.
Area of Science:
- Biochemistry
- Analytical Chemistry
- Clinical Chemistry
Background:
- Carboxyl-bearing low-molecular-weight compounds (e.g., keto acids, fatty acids, organic acids) are integral to numerous metabolic pathways.
- Alterations in these compounds are linked to various diseases, including cancer, leukemia, heart disease, liver disease, obesity, and diabetes.
- Accurate quantification of these biomolecules offers critical insights into disease diagnosis, pathology, and mechanisms.
Purpose of the Study:
- To provide a comprehensive review of analytical methods for quantifying carboxylic acids in biological samples.
- To cover methods developed from 2000 to the present.
- To classify and summarize techniques for diverse carboxylic acid categories.
Main Methods:
- Review of analytical methods published from 2000 to date.
- Classification of carboxylic acids into categories: fatty acids, TCA cycle and glycolysis compounds, amino acid metabolites, perfluorinated carboxylic acids, α-keto acids, thiazole-containing carboxylic acids, and miscellaneous.
- Summary of liquid chromatography techniques coupled with UV, fluorescence, mass spectrometry, and electrochemical detection.
Main Results:
- Analytical methods for quantifying various carboxylic acids in biological samples have significantly advanced.
- Liquid chromatography coupled with different detection methods (UV, fluorescence, MS, electrochemical) are key techniques.
- The review categorizes and details methods for a wide range of important carboxylic acids.
Conclusions:
- Quantification of carboxylic acids is essential for advancing our understanding of metabolic diseases.
- The reviewed analytical methods provide valuable tools for clinical diagnostics and research.
- Continued development in analytical techniques will further enhance disease biomarker discovery.
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