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Absolute Quantification of Cell-Free Protein Synthesis Metabolism by Reversed-Phase Liquid Chromatography-Mass Spectrometry
Published on: October 25, 2019
[Research progress of enhancing quantitative sensitivity by using LC-MS(n) with derivatization method in
Ying Li1, Li-Li Xu, Jin-Xiu Ruan
1Institute of Pharmacology and Toxicology, Academy of Military Medical Sciences, Beijing 100850, China.
Yao Xue Xue Bao = Acta Pharmaceutica Sinica
|September 3, 2011
Summary
Chemical derivatization enhances liquid chromatography/mass spectrometry (LC-MS(n)) for drug research by improving ionization and reducing interference. This strategy overcomes limitations in analyzing potent drugs in biological samples.
Area of Science:
- Analytical Chemistry
- Pharmacology
Context:
- Liquid chromatography/mass spectrometry (LC-MS(n)) is crucial for quantitative drug research, particularly in pharmacokinetic/pharmacodynamic (PK/PD) studies.
- Emerging drugs with high potency and low dosage, along with complex structures, present limitations for traditional LC-MS(n) analysis.
- Challenges include sensitivity, specificity, matrix effects, and interference from endogenous compounds and salts.
Purpose:
- To review recent advancements in chemical derivatization strategies for LC-MS(n).
- To highlight how derivatization overcomes specific limitations of LC-MS(n) in drug analysis.
- To focus on the application of these strategies in analyzing drugs within biological matrices.
Summary:
- Chemical derivatization modifies drug structures to enhance their physical and chemical properties for LC-MS(n).
- Key benefits include increased ionization efficiency, reduced matrix effects, and minimized interference from biological components.
- This approach is particularly valuable for analyzing highly potent drugs and complex compounds in bio-samples.
Impact:
- Enables more sensitive and accurate quantification of drugs, especially those with challenging properties.
- Expands the applicability of LC-MS(n) in drug discovery and development.
- Facilitates better understanding of drug PK/PD profiles in complex biological systems.
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