Developing In Situ Chemometric Models with Raman Spectroscopy for Monitoring an API Disproportionation with a Complex Polymorphic Landscape

Author:

Mohan Shikhar1,Li Yi1,Chu Kevin2,Shi Bing1,De La Paz Liliana1,Bakre Prarthana3,Foti Chris1,Rucker Victor1,Lai Chiajen1

Affiliation:

1. Gilead Sciences, Foster City, CA 94404, USA

2. Velexi Corporation, Burlingame, CA 94010, USA

3. Information Systems, Naveen Jindal School of Management, The University of Texas at Dallas, Richardson, TX 75080, USA

Abstract

An in situ Raman method was developed to characterize the disproportionation of two salts involving a complex polymorphic landscape comprising up to two metastable and one stable freebase forms. Few precedents exist for Raman calibration procedures for solid form quantitation involving more than two polymorphs, while no literature examples were found for cases with multiple metastable forms. Therefore, a new Raman calibration procedure was proposed by directly using disproportionation experiments to generate multiple calibration samples encompassing a range of polymorph ratios through in-line Raman measurements complemented by off-line reference X-ray diffraction measurements. The developed Raman methods were capable of accurately quantitating each solid form in situ when solid concentration variation was incorporated into the calibration dataset. The kinetic understanding of the thermodynamically driven polymorphic conversions gained from this Raman method guided the selection of the salt best suited for the delivery of the active ingredient in the drug product. This work provided a spectroscopic and mathematical approach for simultaneously quantitating multiple polymorphs from a complex mixture of solids with the objective of real-time monitoring.

Publisher

MDPI AG

Subject

Drug Discovery,Pharmaceutical Science,Molecular Medicine

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