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Diffuse reflectance near infrared-chemometric methods development and validation of amoxicillin capsule formulations
OBJECTIVE: The aim of present study was to establish near infrared-chemometric methods that could be effectively used for quality profiling through identification and quantification of amoxicillin (AMOX) in formulated capsule which were similar to commercial products. In order to evaluate a large nu...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4832907/ https://www.ncbi.nlm.nih.gov/pubmed/27134469 http://dx.doi.org/10.4103/0975-7406.175973 |
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author | Khan, Ahmed Nawaz Khar, Roop Krishen Ajayakumar, P. V. |
author_facet | Khan, Ahmed Nawaz Khar, Roop Krishen Ajayakumar, P. V. |
author_sort | Khan, Ahmed Nawaz |
collection | PubMed |
description | OBJECTIVE: The aim of present study was to establish near infrared-chemometric methods that could be effectively used for quality profiling through identification and quantification of amoxicillin (AMOX) in formulated capsule which were similar to commercial products. In order to evaluate a large number of market products easily and quickly, these methods were modeled. MATERIALS AND METHODS: Thermo Scientific Antaris II near infrared analyzer with TQ Analyst Chemometric Software were used for the development and validation of the identification and quantification models. Several AMOX formulations were composed with four excipients microcrystalline cellulose, magnesium stearate, croscarmellose sodium and colloidal silicon dioxide. Development includes quadratic mixture formulation design, near infrared spectrum acquisition, spectral pretreatment and outlier detection. According to prescribed guidelines by International Conference on Harmonization (ICH) and European Medicine Agency (EMA) developed methods were validated in terms of specificity, accuracy, precision, linearity, and robustness. RESULTS: On diffuse reflectance mode, an identification model based on discriminant analysis was successfully processed with 76 formulations; and same samples were also used for quantitative analysis using partial least square algorithm with four latent variables and 0.9937 correlation of coefficient followed by 2.17% root mean square error of calibration (RMSEC), 2.38% root mean square error of prediction (RMSEP), 2.43% root mean square error of cross-validation (RMSECV). CONCLUSION: Proposed model established a good relationship between the spectral information and AMOX identity as well as content. Resulted values show the performance of the proposed models which offers alternate choice for AMOX capsule evaluation, relative to that of well-established high-performance liquid chromatography method. Ultimately three commercial products were successfully evaluated using developed methods. |
format | Online Article Text |
id | pubmed-4832907 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Medknow Publications & Media Pvt Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-48329072016-04-29 Diffuse reflectance near infrared-chemometric methods development and validation of amoxicillin capsule formulations Khan, Ahmed Nawaz Khar, Roop Krishen Ajayakumar, P. V. J Pharm Bioallied Sci Original Article OBJECTIVE: The aim of present study was to establish near infrared-chemometric methods that could be effectively used for quality profiling through identification and quantification of amoxicillin (AMOX) in formulated capsule which were similar to commercial products. In order to evaluate a large number of market products easily and quickly, these methods were modeled. MATERIALS AND METHODS: Thermo Scientific Antaris II near infrared analyzer with TQ Analyst Chemometric Software were used for the development and validation of the identification and quantification models. Several AMOX formulations were composed with four excipients microcrystalline cellulose, magnesium stearate, croscarmellose sodium and colloidal silicon dioxide. Development includes quadratic mixture formulation design, near infrared spectrum acquisition, spectral pretreatment and outlier detection. According to prescribed guidelines by International Conference on Harmonization (ICH) and European Medicine Agency (EMA) developed methods were validated in terms of specificity, accuracy, precision, linearity, and robustness. RESULTS: On diffuse reflectance mode, an identification model based on discriminant analysis was successfully processed with 76 formulations; and same samples were also used for quantitative analysis using partial least square algorithm with four latent variables and 0.9937 correlation of coefficient followed by 2.17% root mean square error of calibration (RMSEC), 2.38% root mean square error of prediction (RMSEP), 2.43% root mean square error of cross-validation (RMSECV). CONCLUSION: Proposed model established a good relationship between the spectral information and AMOX identity as well as content. Resulted values show the performance of the proposed models which offers alternate choice for AMOX capsule evaluation, relative to that of well-established high-performance liquid chromatography method. Ultimately three commercial products were successfully evaluated using developed methods. Medknow Publications & Media Pvt Ltd 2016 /pmc/articles/PMC4832907/ /pubmed/27134469 http://dx.doi.org/10.4103/0975-7406.175973 Text en Copyright: © Journal of Pharmacy and Bioallied Sciences http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Khan, Ahmed Nawaz Khar, Roop Krishen Ajayakumar, P. V. Diffuse reflectance near infrared-chemometric methods development and validation of amoxicillin capsule formulations |
title | Diffuse reflectance near infrared-chemometric methods development and validation of amoxicillin capsule formulations |
title_full | Diffuse reflectance near infrared-chemometric methods development and validation of amoxicillin capsule formulations |
title_fullStr | Diffuse reflectance near infrared-chemometric methods development and validation of amoxicillin capsule formulations |
title_full_unstemmed | Diffuse reflectance near infrared-chemometric methods development and validation of amoxicillin capsule formulations |
title_short | Diffuse reflectance near infrared-chemometric methods development and validation of amoxicillin capsule formulations |
title_sort | diffuse reflectance near infrared-chemometric methods development and validation of amoxicillin capsule formulations |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4832907/ https://www.ncbi.nlm.nih.gov/pubmed/27134469 http://dx.doi.org/10.4103/0975-7406.175973 |
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