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Updated: Dec 5, 2025

Post Column Derivatization Using Reaction Flow High Performance Liquid Chromatography Columns
Published on: April 26, 2016
Derivatization procedures and their analytical performances for HPLC determination in bioanalysis
Victor David1, Serban C Moldoveanu2, Toma Galaon3
1Faculty of Chemistry, Department of Analytical Chemistry, University of Bucharest, Bucharest, Romania.
Chemical structure modification, known as derivatization, enhances analyte detectability and chromatographic performance in bioanalysis. This review covers various derivatization methods and their applications in liquid chromatography for improved analytical results.
Area of Science:
- Analytical Chemistry
- Bioanalysis
- Chromatography
Background:
- Derivatization is crucial in bioanalysis using liquid chromatography to boost detectability and chromatographic performance.
- It involves modifying chemical structures of target analytes, particularly those with hydroxyl, thiol, amino, carbonyl, and carboxyl functional groups.
Purpose of the Study:
- To review derivatization processes and reagents used in bioanalysis over the last two decades.
- To highlight applications, reaction conditions, and performance metrics of various derivatization techniques.
Main Methods:
- Discussion of derivatization procedures based on analytical techniques (in situ, extraction-based).
- Inclusion of chiral, isotope-labeling, hydrophobicity-tailored, and post-column derivatizations.
- Analysis of representative publications from the last 20 years.
Main Results:
- Examples of derivatization reagents and reaction conditions provided.
- Bioanalytical applications, chromatographic conditions, detection limits, stability, and sample matrices are detailed.
- Comprehensive overview of advancements in derivatization for bioanalysis.
Conclusions:
- Derivatization remains a vital strategy for enhancing bioanalytical methods.
- The review offers valuable insights into selecting appropriate derivatization techniques for specific analytes and matrices.
- Understanding these methods improves analytical accuracy and sensitivity in biological sample analysis.
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