Estimating analytical variability in two-dimensional data
| Autor: | Ivan L. Budyak, Kristi L. Griffiths, William F. Weiss |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Circular dichroism
Circular Dichroism Noise reduction 010401 analytical chemistry Spectrum (functional analysis) Biophysics Cell Biology Interval (mathematics) Models Theoretical 030226 pharmacology & pharmacy 01 natural sciences Biochemistry 0104 chemical sciences Set (abstract data type) 03 medical and health sciences 0302 clinical medicine Molecular Biology Higher Order Structure Algorithm Mathematics |
| Zdroj: | Analytical Biochemistry. 513:36-38 |
| ISSN: | 0003-2697 |
| DOI: | 10.1016/j.ab.2016.08.021 |
| Popis: | Throughout the course of drug development there are many instances in which a variability assessment within a set of analytical data is required, which may be challenging for techniques that produce two-dimensional data. This note describes an interval-based approach to variability assessment and demonstrates its applicability for analysis of near-UV circular dichroism (CD) spectra. The approach is generalizable and could be applied to two-dimensional data from other analytical techniques as well. |
| Databáze: | OpenAIRE |
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