System suitability in bioanalytical LC/MS/MS.

System suitability is widely recognized as a critical component of bioanalysis. This paper discusses a generic system suitability test that monitors instrument performance throughout a run when used for liquid chromatography tandem mass spectrometry (LC/MS/MS) in bioanalysis. This system suitability process is designed to ensure that the LC/MS/MS system is performing in a manner that leads to the production of accurate and reproducible data that can be submitted with confidence to regulatory agencies. This process contains tests for signal stability, carryover, and instrument response. This approach is integrated throughout an analytical run and has been used in the analysis of over 25,000 batches of clinical samples. Two case studies are presented in which quality control samples and standards meet all acceptance criteria (based on Standard Operating Procedures and the Food and Drug Administration's recommendations for bioanalytical method validation) but failed the proposed system suitability test, and thus were rejected. In these case studies, the concentrations of a significant number of clinical samples (over 35%) were affected, resulting in changes of more than 15% when the samples were reanalyzed. These data indicate that the poor performance of an LC/MS/MS system could adversely affect the calculated concentrations of unknown samples even though the results for quality control samples appear to be acceptable.

Analysis of drug-protein binding by ultrafast affinity chromatography using immobilized human serum albumin.

Human serum albumin (HSA) was explored for use as a stationary phase and ligand in affinity microcolumns for the ultrafast extraction of free drug fractions and the use of this information for the analysis of drug-protein binding. Warfarin, imipramine, and ibuprofen were used as model analytes in this study. It was found that greater than 95% extraction of all these drugs could be achieved in as little as 250 ms on HSA microcolumns. The retained drug fraction was then eluted from the same column under isocratic conditions, giving elution in less than 40 s when working at 4.5 mL/min. The chromatographic behavior of this system gave a good fit with that predicted by computer simulations based on a reversible, saturable model for the binding of an injected drug with immobilized HSA. The free fractions measured by this method were found to be comparable to those determined by ultrafiltration, and equilibrium constants estimated by this approach gave good agreement with literature values. Advantages of this method include its speed and the relatively low cost of microcolumns that contain HSA. The ability of HSA to bind many types of drugs also creates the possibility of using the same affinity microcolumn to study and measure the free fractions for a variety of pharmaceutical agents. These properties make this technique appealing for use in drug-binding studies and in the high-throughput screening of new drug candidates.

Factors affecting the stability of drugs and drug metabolites in biological matrices.

Evaluation of the stability of drugs and drug metabolites in a biological matrix is a critical element to bioanalytical method validation. It is critical to understand the most common factors that affect the stability of such analytes in order to properly develop methods for their detection and measurement. The degradation of drugs and drug metabolites in samples can occur through either reversible or irreversible processes. Common factors that affect this stability include temperature, light, pH, oxidation and enzymatic degradation. Special considerations are also required when dealing with chiral molecules, deuterated internal standards and large biomolecules. Relevant examples of these degradation effects and approaches for dealing with them are presented is this review as taken from the fields of pharmaceutical testing, clinical research and forensic analysis. It is demonstrated through these examples how an understanding of the chemical and physical factors that affect sample stability can be used to avoid stability problems and to create robust and accurate methods for the analysis of drugs and related compounds.