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Updated: Jul 16, 2026

Biochemical Measurement of Neonatal Hypoxia
Published on: August 24, 2011
A simple, rapid, highly sensitive and reproducible quantification method for plasma malondialdehyde by
K Fukunaga1, M Yoshida, N Nakazono
1Laboratory of Public Health, Kansai Medical University, Moriguchi, Osaka, Japan.
A new high-performance liquid chromatography (HPLC) method accurately quantifies plasma malondialdehyde (MDA) using the thiobarbituric acid (TBA) reaction. This sensitive and reproducible assay is suitable for high-throughput clinical analysis.
Area of Science:
- Biochemistry
- Analytical Chemistry
- Clinical Chemistry
Background:
- Plasma malondialdehyde (MDA) is a marker of lipid peroxidation and oxidative stress.
- Accurate quantification of MDA is crucial for clinical diagnostics and research.
- Existing methods for MDA quantification can be complex or lack sensitivity.
Purpose of the Study:
- To develop a simple, rapid, sensitive, and reproducible method for quantifying plasma MDA.
- To establish a high-performance liquid chromatography (HPLC) assay for MDA detection.
Main Methods:
- The method utilizes the thiobarbituric acid (TBA) reaction followed by reversed-phase HPLC separation.
- Fluorescence detection (excitation/emission: 515/553 nm) is employed for sensitive MDA quantification.
- Plasma samples undergo a simplified preparation involving TBA reaction and heating, with direct injection into the HPLC system.
Main Results:
- The developed method demonstrates high sensitivity with a detection limit of 0.5 fmol per injection.
- Excellent linearity (0.5-500 fmol/injection), precision (within-assay CV 1.2%, between-assay CV 3.1%), and recovery (98.6%) were achieved.
- The method is capable of analyzing 250-300 samples per day with an autosampler.
Conclusions:
- The developed HPLC-based method offers a robust and efficient approach for plasma MDA quantification.
- Its simplicity, sensitivity, and reproducibility make it highly suitable for clinical applications.
- This assay facilitates large-scale analysis of oxidative stress markers in patient samples.
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