Cargando…
Application of Multivariate Methods to Evaluate Differential Material Attributes of HPMC from Different Sources
[Image: see text] The aim of the present study is to achieve differential material attributes (DMAs) of hydroxypropyl methylcellulose (HPMC) with different viscosity grades (K4M, K15M, and K100M) from different manufacturers (Anhui Shanhe and Dow Chemical). Two kinds of multivariate methods, princip...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2021
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8567258/ https://www.ncbi.nlm.nih.gov/pubmed/34746555 http://dx.doi.org/10.1021/acsomega.1c03009 |
_version_ | 1784594194913820672 |
---|---|
author | Wan, Shulin Dai, Chuanyun Bai, Yuling Xie, Wenying Guan, Tianbing Sun, Huimin Wang, Bochu |
author_facet | Wan, Shulin Dai, Chuanyun Bai, Yuling Xie, Wenying Guan, Tianbing Sun, Huimin Wang, Bochu |
author_sort | Wan, Shulin |
collection | PubMed |
description | [Image: see text] The aim of the present study is to achieve differential material attributes (DMAs) of hydroxypropyl methylcellulose (HPMC) with different viscosity grades (K4M, K15M, and K100M) from different manufacturers (Anhui Shanhe and Dow Chemical). Two kinds of multivariate methods, principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA), were adopted. The physicochemical properties of HPMC were systematically investigated via various techniques (e.g., SEM, particle size detection, and SeDeM characterization). Data from 33 characterization variables were applied to the multivariate methods. The PCA and OPLS-DA results indicated the differences between the HPMC from two manufacturers by the common variables that include the tablet hardness (HD), tensile strength (TS), bulk density, interparticle porosity, Carr index, cohesion index, Hausner ratio, flowability, and the width of the particle size distribution (span). Interestingly, these variables showed a certain correlation with each other, supporting the characterization results. Except for these different variables of the HPMC obtained by multivariate analysis results, distinguishable shapes and surface morphologies also appeared between different sources. To sum up, the powder properties (particle size, surface topography, dimension, flowability, and compressibility) and the tablet properties (HD and TS) were recognized as the DMAs of HPMC samples. This work provided the multivariate methods for the physicochemical characterization of HPMC, with potential in the quality control and formulation development. |
format | Online Article Text |
id | pubmed-8567258 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-85672582021-11-05 Application of Multivariate Methods to Evaluate Differential Material Attributes of HPMC from Different Sources Wan, Shulin Dai, Chuanyun Bai, Yuling Xie, Wenying Guan, Tianbing Sun, Huimin Wang, Bochu ACS Omega [Image: see text] The aim of the present study is to achieve differential material attributes (DMAs) of hydroxypropyl methylcellulose (HPMC) with different viscosity grades (K4M, K15M, and K100M) from different manufacturers (Anhui Shanhe and Dow Chemical). Two kinds of multivariate methods, principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA), were adopted. The physicochemical properties of HPMC were systematically investigated via various techniques (e.g., SEM, particle size detection, and SeDeM characterization). Data from 33 characterization variables were applied to the multivariate methods. The PCA and OPLS-DA results indicated the differences between the HPMC from two manufacturers by the common variables that include the tablet hardness (HD), tensile strength (TS), bulk density, interparticle porosity, Carr index, cohesion index, Hausner ratio, flowability, and the width of the particle size distribution (span). Interestingly, these variables showed a certain correlation with each other, supporting the characterization results. Except for these different variables of the HPMC obtained by multivariate analysis results, distinguishable shapes and surface morphologies also appeared between different sources. To sum up, the powder properties (particle size, surface topography, dimension, flowability, and compressibility) and the tablet properties (HD and TS) were recognized as the DMAs of HPMC samples. This work provided the multivariate methods for the physicochemical characterization of HPMC, with potential in the quality control and formulation development. American Chemical Society 2021-10-21 /pmc/articles/PMC8567258/ /pubmed/34746555 http://dx.doi.org/10.1021/acsomega.1c03009 Text en © 2021 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Wan, Shulin Dai, Chuanyun Bai, Yuling Xie, Wenying Guan, Tianbing Sun, Huimin Wang, Bochu Application of Multivariate Methods to Evaluate Differential Material Attributes of HPMC from Different Sources |
title | Application of Multivariate Methods to Evaluate Differential
Material Attributes of HPMC from Different Sources |
title_full | Application of Multivariate Methods to Evaluate Differential
Material Attributes of HPMC from Different Sources |
title_fullStr | Application of Multivariate Methods to Evaluate Differential
Material Attributes of HPMC from Different Sources |
title_full_unstemmed | Application of Multivariate Methods to Evaluate Differential
Material Attributes of HPMC from Different Sources |
title_short | Application of Multivariate Methods to Evaluate Differential
Material Attributes of HPMC from Different Sources |
title_sort | application of multivariate methods to evaluate differential
material attributes of hpmc from different sources |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8567258/ https://www.ncbi.nlm.nih.gov/pubmed/34746555 http://dx.doi.org/10.1021/acsomega.1c03009 |
work_keys_str_mv | AT wanshulin applicationofmultivariatemethodstoevaluatedifferentialmaterialattributesofhpmcfromdifferentsources AT daichuanyun applicationofmultivariatemethodstoevaluatedifferentialmaterialattributesofhpmcfromdifferentsources AT baiyuling applicationofmultivariatemethodstoevaluatedifferentialmaterialattributesofhpmcfromdifferentsources AT xiewenying applicationofmultivariatemethodstoevaluatedifferentialmaterialattributesofhpmcfromdifferentsources AT guantianbing applicationofmultivariatemethodstoevaluatedifferentialmaterialattributesofhpmcfromdifferentsources AT sunhuimin applicationofmultivariatemethodstoevaluatedifferentialmaterialattributesofhpmcfromdifferentsources AT wangbochu applicationofmultivariatemethodstoevaluatedifferentialmaterialattributesofhpmcfromdifferentsources |