PMID- 31276685 OWN - NLM STAT- MEDLINE DCOM- 20200908 LR - 20200908 IS - 1520-6017 (Electronic) IS - 0022-3549 (Linking) VI - 108 IP - 11 DP - 2019 Nov TI - Univariate and Multivariate Models for Determination of Prasugrel Base in the Formulation of Prasugrel Hydrochloride Using XRPD Method. PG - 3575-3581 LID - S0022-3549(19)30427-7 [pii] LID - 10.1016/j.xphs.2019.06.024 [doi] AB - Prasugrel hydrochloride (PHCl) undergoes salt disproportionation, and the resulting prasugrel free base (PFB) may lead to the poor in vitro and or in vivo performance of the drug product. The aim of the present work was to develop univariate and multivariate models based on X-ray powder diffraction to quantify the salt and base in the powder and tablet formulations. Compositionally identical formulations of PHCl and PFB were prepared and mixed in various proportions to make 0%-30% PFB sample matrices. The formulations consisted of commonly used excipients, which are generally used in commercially available products. X-ray powder diffraction data were collected and subjected to the least square regression and partial least square regression analysis. The model performance parameters such as root mean squared and standard errors were low for univariate models compared to partial least square regression multivariate models. Model predicted values of the independent sample matrices by both methods matched closely with the actual values of PFB and PHCl. However, residual and standard deviation were low in univariate models predicted values. The models developed in this work have been shown to quantitate the PHCl disproportionation to PFB fraction in the drug product and provide a means to control the disproportionation of PHCl. CI - Copyright (c) 2019 American Pharmacists Association(R). Published by Elsevier Inc. All rights reserved. FAU - Dharani, Sathish AU - Dharani S AD - Pharmaceutical Sciences, Irma Lerma Rangel College of Pharmacy, Texas A&M Health Science Center, Texas A&M University, College Station, Texas 77843. FAU - Barakh Ali, Sogra F AU - Barakh Ali SF AD - Pharmaceutical Sciences, Irma Lerma Rangel College of Pharmacy, Texas A&M Health Science Center, Texas A&M University, College Station, Texas 77843. FAU - Afrooz, Hamideh AU - Afrooz H AD - Pharmaceutical Sciences, Irma Lerma Rangel College of Pharmacy, Texas A&M Health Science Center, Texas A&M University, College Station, Texas 77843. FAU - Khan, Mansoor A AU - Khan MA AD - Pharmaceutical Sciences, Irma Lerma Rangel College of Pharmacy, Texas A&M Health Science Center, Texas A&M University, College Station, Texas 77843. FAU - Rahman, Ziyaur AU - Rahman Z AD - Pharmaceutical Sciences, Irma Lerma Rangel College of Pharmacy, Texas A&M Health Science Center, Texas A&M University, College Station, Texas 77843. Electronic address: rahman@pharmacy.tamhsc.edu. LA - eng PT - Journal Article DEP - 20190702 PL - United States TA - J Pharm Sci JT - Journal of pharmaceutical sciences JID - 2985195R RN - 0 (Excipients) RN - 0 (Powders) RN - 0 (Tablets) RN - G89JQ59I13 (Prasugrel Hydrochloride) SB - IM MH - Chemistry, Pharmaceutical/methods MH - Excipients/chemistry MH - Powder Diffraction/methods MH - Powders/chemistry MH - Prasugrel Hydrochloride/*chemistry MH - Tablets/chemistry MH - X-Ray Diffraction/methods OTO - NOTNLM OT - X-ray powder diffraction OT - disproportionation OT - multivariate models OT - prasugrel OT - univariate models EDAT- 2019/07/06 06:00 MHDA- 2020/09/09 06:00 CRDT- 2019/07/06 06:00 PHST- 2019/04/11 00:00 [received] PHST- 2019/05/28 00:00 [revised] PHST- 2019/06/26 00:00 [accepted] PHST- 2019/07/06 06:00 [pubmed] PHST- 2020/09/09 06:00 [medline] PHST- 2019/07/06 06:00 [entrez] AID - S0022-3549(19)30427-7 [pii] AID - 10.1016/j.xphs.2019.06.024 [doi] PST - ppublish SO - J Pharm Sci. 2019 Nov;108(11):3575-3581. doi: 10.1016/j.xphs.2019.06.024. Epub 2019 Jul 2.