1. Analysis of unstable degradation impurities of a benzodiazepine and their quantification without isolation using multiple linear regression
- Author
-
John M. Campbell, Andy M. Wolters, Jacalyn S. Clawson, Simon A. Watson, Kevin L. Facchine, John J. Peterson, Benoît Igne, Jeremy A. Barry, Kaitie Grinias, and Kevin Leach
- Subjects
Chromatography ,010405 organic chemistry ,Chemistry ,010401 analytical chemistry ,Clinical Biochemistry ,Pharmaceutical Science ,Models, Theoretical ,01 natural sciences ,0104 chemical sciences ,Analytical Chemistry ,Benzodiazepines ,Drug Stability ,Impurity ,Drug Discovery ,Linear regression ,Forced degradation ,Multivariate Analysis ,Linear Models ,Degradation (geology) ,Multiple linear regression analysis ,Drug Contamination ,Spectroscopy ,Chromatography, High Pressure Liquid - Abstract
This manuscript presents a novel methodology for calculating the relative response factors (RRFs) of unstable degradation impurities of molibresib (1). The degradation impurities were observed by HPLC during stress testing and were accompanied by large mass balance deficits. However, the impurities could not be isolated for traditional RRF determination due to their instability. The RRFs of two degradation impurities were determined without isolation by multiple linear regression analysis of HPLC-UV data. The results permitted accurate quantification of the degradants. The benefits and drawbacks of the approach are discussed, including suggested validation acceptance criteria.
- Published
- 2019