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dc.contributor.authorHewarathna, Asha
dc.contributor.authorMozziconacci, Olivier
dc.contributor.authorNariya, Maulik K.
dc.contributor.authorKleindl, Peter Alan
dc.contributor.authorXiong, Jian
dc.contributor.authorFisher, Adam C.
dc.contributor.authorJoshi, Sangeeta B.
dc.contributor.authorMiddaugh, C. Russell
dc.contributor.authorForrest, M. Laird
dc.contributor.authorVolkin, David B.
dc.contributor.authorDeeds, Eric J.
dc.contributor.authorSchöneich, Christian
dc.date.accessioned2019-11-07T22:05:43Z
dc.date.available2019-11-07T22:05:43Z
dc.date.issued2017-11-01
dc.identifier.citationHewarathna, A., Mozziconacci, O., Nariya, M. K., Kleindl, P. A., Xiong, J., Fisher, A. C., … Schöneich, C. (2017). Chemical Stability of the Botanical Drug Substance Crofelemer: A Model System for Comparative Characterization of Complex Mixture Drugs. Journal of pharmaceutical sciences, 106(11), 3257–3269. doi:10.1016/j.xphs.2017.06.022en_US
dc.identifier.urihttp://hdl.handle.net/1808/29725
dc.descriptionThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.en_US
dc.description.abstractAs the second of a 3-part series of articles in this issue concerning the development of a mathematical model for comparative characterization of complex mixture drugs using crofelemer (CF) as a model compound, this work focuses on the evaluation of the chemical stability profile of CF. CF is a biopolymer containing a mixture of proanthocyanidin oligomers which are primarily composed of gallocatechin with a small contribution from catechin. CF extracted from drug product was subjected to molecular weight–based fractionation and thiolysis. Temperature stress and metal-catalyzed oxidation were selected for accelerated and forced degradation studies. Stressed CF samples were size fractionated, thiolyzed, and analyzed with a combination of negative-ion electrospray ionization mass spectrometry (ESI-MS) and reversed-phase-HPLC with UV absorption and fluorescence detection. We further analyzed the chemical stability data sets for various CF samples generated from reversed-phase-HPLC-UV and ESI-MS using data-mining and machine learning approaches. In particular, calculations based on mutual information of over 800,000 data points in the ESI-MS analytical data set revealed specific CF cleavage and degradation products that were differentially generated under specific storage/degradation conditions, which were not initially identified using traditional analysis of the ESI-MS results.en_US
dc.publisherElsevieren_US
dc.rights© 2017 American Pharmacists Association®. Published by Elsevier Inc. All rights reserved. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.en_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.subjectCrofelemeren_US
dc.subjectComplex mixtureen_US
dc.subjectChemical stabilityen_US
dc.subjectOxidationen_US
dc.subjectMass spectrometryen_US
dc.subjectHPLCen_US
dc.subjectMutual information scoresen_US
dc.subjectMachine learningen_US
dc.titleChemical Stability of the Botanical Drug Substance Crofelemer: A Model System for Comparative Characterization of Complex Mixture Drugsen_US
dc.typeArticleen_US
kusw.kuauthorHewarathna, Asha
kusw.kuauthorMozziconacci, Olivier
kusw.kuauthorNariya, Maulik K.
kusw.kuauthorKleindl, Peter Alan
kusw.kuauthorXiong, Jian
kusw.kuauthorJoshi, Sangeeta B.
kusw.kuauthorMiddaugh, C. Russell
kusw.kuauthorForrest, M. Laird
kusw.kuauthorVolkin, David B.
kusw.kuauthorDeeds, Eric J.
kusw.kuauthorSchöneich, Christian
kusw.kudepartmentPharmaceutical Chemistryen_US
kusw.kudepartmentPhysics and Astronomyen_US
dc.identifier.doi10.1016/j.xphs.2017.06.022en_US
kusw.oaversionScholarly/refereed, author accepted manuscripten_US
kusw.oapolicyThis item meets KU Open Access policy criteria.en_US
dc.identifier.pmidPMC6644711en_US
dc.rights.accessrightsopenAccessen_US


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© 2017 American Pharmacists Association®. Published by Elsevier Inc. All rights reserved. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Except where otherwise noted, this item's license is described as: © 2017 American Pharmacists Association®. Published by Elsevier Inc. All rights reserved. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.