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Quantitative Chemical Profiling of Commercial Glyceride Excipients via(1)H NMR Spectroscopy

Glycerides are the main components of oils, and fats, used in formulated products in the food and cosmetic industry as well as in the pharmaceutical product industry. However, there is limited literature available on the analysis of the chemical composition of glycerides. The lack of a suitable anal...

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Autores principales: Saraf, Isha, Kushwah, Varun, Weber, Hansjoerg, Modhave, Dattatray, Yeoh, Thean, Paudel, Amrit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7716940/
https://www.ncbi.nlm.nih.gov/pubmed/33270172
http://dx.doi.org/10.1208/s12249-020-01883-x
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author Saraf, Isha
Kushwah, Varun
Weber, Hansjoerg
Modhave, Dattatray
Yeoh, Thean
Paudel, Amrit
author_facet Saraf, Isha
Kushwah, Varun
Weber, Hansjoerg
Modhave, Dattatray
Yeoh, Thean
Paudel, Amrit
author_sort Saraf, Isha
collection PubMed
description Glycerides are the main components of oils, and fats, used in formulated products in the food and cosmetic industry as well as in the pharmaceutical product industry. However, there is limited literature available on the analysis of the chemical composition of glycerides. The lack of a suitable analytical method for complete chemical profiling of glycerides is one of the bottlenecks in understanding and controlling the change in chemical composition during processing, formulation, and storage. Thus, the aim of the present study is to develop a calibration-free quantitative proton nuclear magnetic resonance (qHNMR) method for the simultaneous quantification of different components of glycerides. The qHNMR method was developed for the quantification of mono-, di-, and triglycerides; their positional isomers; free fatty acids; and glycerol content. The accuracy, precision, and robustness of the developed method were evaluated and were found suitable for the quantitative analysis of five batches of marketed excipient. The study demonstrates the potential of qHNMR method for the quantification of different components of glycerides in various marketed products. The method has the ability to identify the variability of glycerides among different batches and suppliers in terms of chemical composition and also to discern the changes during storage. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1208/s12249-020-01883-x.
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spelling pubmed-77169402020-12-04 Quantitative Chemical Profiling of Commercial Glyceride Excipients via(1)H NMR Spectroscopy Saraf, Isha Kushwah, Varun Weber, Hansjoerg Modhave, Dattatray Yeoh, Thean Paudel, Amrit AAPS PharmSciTech Research Article Glycerides are the main components of oils, and fats, used in formulated products in the food and cosmetic industry as well as in the pharmaceutical product industry. However, there is limited literature available on the analysis of the chemical composition of glycerides. The lack of a suitable analytical method for complete chemical profiling of glycerides is one of the bottlenecks in understanding and controlling the change in chemical composition during processing, formulation, and storage. Thus, the aim of the present study is to develop a calibration-free quantitative proton nuclear magnetic resonance (qHNMR) method for the simultaneous quantification of different components of glycerides. The qHNMR method was developed for the quantification of mono-, di-, and triglycerides; their positional isomers; free fatty acids; and glycerol content. The accuracy, precision, and robustness of the developed method were evaluated and were found suitable for the quantitative analysis of five batches of marketed excipient. The study demonstrates the potential of qHNMR method for the quantification of different components of glycerides in various marketed products. The method has the ability to identify the variability of glycerides among different batches and suppliers in terms of chemical composition and also to discern the changes during storage. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1208/s12249-020-01883-x. Springer International Publishing 2020-12-03 /pmc/articles/PMC7716940/ /pubmed/33270172 http://dx.doi.org/10.1208/s12249-020-01883-x Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Research Article
Saraf, Isha
Kushwah, Varun
Weber, Hansjoerg
Modhave, Dattatray
Yeoh, Thean
Paudel, Amrit
Quantitative Chemical Profiling of Commercial Glyceride Excipients via(1)H NMR Spectroscopy
title Quantitative Chemical Profiling of Commercial Glyceride Excipients via(1)H NMR Spectroscopy
title_full Quantitative Chemical Profiling of Commercial Glyceride Excipients via(1)H NMR Spectroscopy
title_fullStr Quantitative Chemical Profiling of Commercial Glyceride Excipients via(1)H NMR Spectroscopy
title_full_unstemmed Quantitative Chemical Profiling of Commercial Glyceride Excipients via(1)H NMR Spectroscopy
title_short Quantitative Chemical Profiling of Commercial Glyceride Excipients via(1)H NMR Spectroscopy
title_sort quantitative chemical profiling of commercial glyceride excipients via(1)h nmr spectroscopy
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7716940/
https://www.ncbi.nlm.nih.gov/pubmed/33270172
http://dx.doi.org/10.1208/s12249-020-01883-x
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