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HPLC with charged aerosol detector (CAD) as a quality control platform for analysis of carbohydrate polymers
OBJECTIVE: QC analysis of carbohydrates has been historically cumbersome due to lengthy and laborious derivatization techniques and the requirement of complimentary instrumentation. HILIC-CAD has emerged as an effective platform for direct monosaccharide composition analysis of complex carbohydrates...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6518655/ https://www.ncbi.nlm.nih.gov/pubmed/31088532 http://dx.doi.org/10.1186/s13104-019-4296-y |
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author | Ghosh, Rajarshi Kline, Paul |
author_facet | Ghosh, Rajarshi Kline, Paul |
author_sort | Ghosh, Rajarshi |
collection | PubMed |
description | OBJECTIVE: QC analysis of carbohydrates has been historically cumbersome due to lengthy and laborious derivatization techniques and the requirement of complimentary instrumentation. HILIC-CAD has emerged as an effective platform for direct monosaccharide composition analysis of complex carbohydrates without derivatization. Although, several neutral sugars have been separated and detected using HILIC-CAD, there has not been any report on acidic and amino sugar analysis using this method. In this study, we developed a gradient method for simultaneous analysis of acidic, amino and select neutral monosaccharides. As an application of the HILIC-CAD method, we performed composition analysis of commercially purchased hyaluronic acid products. Additionally, since CAD is suitable for SEC experiments, we tested the homogeneity of hyaluronic acids using a SEC-CAD method. RESULTS: We separated common uronic acids (GlcA, GalA, LIdoA and Neu5Ac), amino sugars (GlcN, GalN and GlcNAc) and select neutral sugars (LRha, LFuc, Man and Gal) using a gradient HILIC-CAD method. The optimized gradient method demonstrated good linearity (R(2) > 0.99), precision (RSD < 8%), LOD (< 85 ng/mL) and LOQ (< 280 ng/mL). HILIC-CAD analysis of commercially purchased hyaluronic acid products indicated that samples were composed of GlcNAc and GlcA. Additionally, SEC-CAD chromatograms indicated the heterogeneous nature of the samples. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13104-019-4296-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6518655 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-65186552019-05-21 HPLC with charged aerosol detector (CAD) as a quality control platform for analysis of carbohydrate polymers Ghosh, Rajarshi Kline, Paul BMC Res Notes Research Note OBJECTIVE: QC analysis of carbohydrates has been historically cumbersome due to lengthy and laborious derivatization techniques and the requirement of complimentary instrumentation. HILIC-CAD has emerged as an effective platform for direct monosaccharide composition analysis of complex carbohydrates without derivatization. Although, several neutral sugars have been separated and detected using HILIC-CAD, there has not been any report on acidic and amino sugar analysis using this method. In this study, we developed a gradient method for simultaneous analysis of acidic, amino and select neutral monosaccharides. As an application of the HILIC-CAD method, we performed composition analysis of commercially purchased hyaluronic acid products. Additionally, since CAD is suitable for SEC experiments, we tested the homogeneity of hyaluronic acids using a SEC-CAD method. RESULTS: We separated common uronic acids (GlcA, GalA, LIdoA and Neu5Ac), amino sugars (GlcN, GalN and GlcNAc) and select neutral sugars (LRha, LFuc, Man and Gal) using a gradient HILIC-CAD method. The optimized gradient method demonstrated good linearity (R(2) > 0.99), precision (RSD < 8%), LOD (< 85 ng/mL) and LOQ (< 280 ng/mL). HILIC-CAD analysis of commercially purchased hyaluronic acid products indicated that samples were composed of GlcNAc and GlcA. Additionally, SEC-CAD chromatograms indicated the heterogeneous nature of the samples. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13104-019-4296-y) contains supplementary material, which is available to authorized users. BioMed Central 2019-05-14 /pmc/articles/PMC6518655/ /pubmed/31088532 http://dx.doi.org/10.1186/s13104-019-4296-y Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Note Ghosh, Rajarshi Kline, Paul HPLC with charged aerosol detector (CAD) as a quality control platform for analysis of carbohydrate polymers |
title | HPLC with charged aerosol detector (CAD) as a quality control platform for analysis of carbohydrate polymers |
title_full | HPLC with charged aerosol detector (CAD) as a quality control platform for analysis of carbohydrate polymers |
title_fullStr | HPLC with charged aerosol detector (CAD) as a quality control platform for analysis of carbohydrate polymers |
title_full_unstemmed | HPLC with charged aerosol detector (CAD) as a quality control platform for analysis of carbohydrate polymers |
title_short | HPLC with charged aerosol detector (CAD) as a quality control platform for analysis of carbohydrate polymers |
title_sort | hplc with charged aerosol detector (cad) as a quality control platform for analysis of carbohydrate polymers |
topic | Research Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6518655/ https://www.ncbi.nlm.nih.gov/pubmed/31088532 http://dx.doi.org/10.1186/s13104-019-4296-y |
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