Final answer:
The impact of multi-axial CCI on data retrieval and analysis in NCEs involves considering LC/MS assay factors like specificity, matrix effects, and ion suppression, which affect the outcome of the data and analysis. Later, in clinical trial phases, analytical efficiency becomes paramount to manage the increased volume of data.
Step-by-step explanation:
The impact of the multi-axial nature of Compound Characterization and Isolation (CCI) on data retrieval and analysis is significant. At the stage of new chemical entities (NCEs) development, it is crucial to factor in the impact that various analytical techniques, like LC/MS assays, have on the results. The multi-axial aspect refers to considering multiple dimensions such as specificity, matrix effects, ion suppression, and data throughput during analysis.
For instance, when examining the nature of the LC/MS assays, one must evaluate how these assays could affect the retrieval and analysis of data. Factors like the matrix effect and ion suppressing effect can alter the response of the analytical instrument and need to be accounted for during the analysis. Additionally, for selective ion monitoring (SIM), the generation of a common m/z ion is crucial for the quantification of multiple peaks.
It is also important to note that the volume of data increases significantly in the later phases of clinical trials. Therefore, improving analytical efficiency might become more critical than the throughput of data. Automation of the bioanalytical process helps in managing the higher amount of data, providing fast, sensitive, and reproducible results which is essential at these later stages.