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Central composite design driven optimization of sustainable stability indicating HPLC method for the determination of Tigecycline and greenness assessment

Background: Tigecycline (TGC) is a recently developed antibiotic to battle resistant bacteria. The procedures outlined in the literature for analyzing TGC involve chemical solvents that could be hazardous. Therefore, this study aimed to create a sustainable and stable HPLC technique for quantifying...

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Autores principales: Hafez, Hani Mohammed, Barghash, Sona Soliman, Soliman, Marwa M., Soltan, Moustafa K., Abd Elrahman, Mohamed, Katamesh, Noha Salah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10427804/
https://www.ncbi.nlm.nih.gov/pubmed/37593362
http://dx.doi.org/10.12688/f1000research.130861.2
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author Hafez, Hani Mohammed
Barghash, Sona Soliman
Soliman, Marwa M.
Soltan, Moustafa K.
Abd Elrahman, Mohamed
Katamesh, Noha Salah
author_facet Hafez, Hani Mohammed
Barghash, Sona Soliman
Soliman, Marwa M.
Soltan, Moustafa K.
Abd Elrahman, Mohamed
Katamesh, Noha Salah
author_sort Hafez, Hani Mohammed
collection PubMed
description Background: Tigecycline (TGC) is a recently developed antibiotic to battle resistant bacteria. The procedures outlined in the literature for analyzing TGC involve chemical solvents that could be hazardous. Therefore, this study aimed to create a sustainable and stable HPLC technique for quantifying Tigecycline in lyophilized powder. The powerful chemometric tool, experimental design (ED), will be applied to analyze the variables' interaction and impact on the selected analytical target profiles. Response surface methodology provides a tutorial on using the central composite design with three levels of variables and quadratic programming to optimize the design space of the developed method. Methods: The New HPLC method consisted of an aqueous buffer and ethanol as a green mobile phase run on a reversed-phase symmetry C18 column. A full resolution between the Tigecycline and its degradation product peaks was achieved in a short analytical runtime. Results: Further, the specificity, accuracy, precision, robustness and stability indicating power of the proposed approach were verified through stress degrading testing. Conclusions: Finally, the analytical eco-scale and the green Analytical Procedure Index (GAPI) were utilized to determine how environmentally friendly the recommended method was compared to other published approaches.
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spelling pubmed-104278042023-08-17 Central composite design driven optimization of sustainable stability indicating HPLC method for the determination of Tigecycline and greenness assessment Hafez, Hani Mohammed Barghash, Sona Soliman Soliman, Marwa M. Soltan, Moustafa K. Abd Elrahman, Mohamed Katamesh, Noha Salah F1000Res Research Article Background: Tigecycline (TGC) is a recently developed antibiotic to battle resistant bacteria. The procedures outlined in the literature for analyzing TGC involve chemical solvents that could be hazardous. Therefore, this study aimed to create a sustainable and stable HPLC technique for quantifying Tigecycline in lyophilized powder. The powerful chemometric tool, experimental design (ED), will be applied to analyze the variables' interaction and impact on the selected analytical target profiles. Response surface methodology provides a tutorial on using the central composite design with three levels of variables and quadratic programming to optimize the design space of the developed method. Methods: The New HPLC method consisted of an aqueous buffer and ethanol as a green mobile phase run on a reversed-phase symmetry C18 column. A full resolution between the Tigecycline and its degradation product peaks was achieved in a short analytical runtime. Results: Further, the specificity, accuracy, precision, robustness and stability indicating power of the proposed approach were verified through stress degrading testing. Conclusions: Finally, the analytical eco-scale and the green Analytical Procedure Index (GAPI) were utilized to determine how environmentally friendly the recommended method was compared to other published approaches. F1000 Research Limited 2023-08-10 /pmc/articles/PMC10427804/ /pubmed/37593362 http://dx.doi.org/10.12688/f1000research.130861.2 Text en Copyright: © 2023 Hafez HM et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Hafez, Hani Mohammed
Barghash, Sona Soliman
Soliman, Marwa M.
Soltan, Moustafa K.
Abd Elrahman, Mohamed
Katamesh, Noha Salah
Central composite design driven optimization of sustainable stability indicating HPLC method for the determination of Tigecycline and greenness assessment
title Central composite design driven optimization of sustainable stability indicating HPLC method for the determination of Tigecycline and greenness assessment
title_full Central composite design driven optimization of sustainable stability indicating HPLC method for the determination of Tigecycline and greenness assessment
title_fullStr Central composite design driven optimization of sustainable stability indicating HPLC method for the determination of Tigecycline and greenness assessment
title_full_unstemmed Central composite design driven optimization of sustainable stability indicating HPLC method for the determination of Tigecycline and greenness assessment
title_short Central composite design driven optimization of sustainable stability indicating HPLC method for the determination of Tigecycline and greenness assessment
title_sort central composite design driven optimization of sustainable stability indicating hplc method for the determination of tigecycline and greenness assessment
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10427804/
https://www.ncbi.nlm.nih.gov/pubmed/37593362
http://dx.doi.org/10.12688/f1000research.130861.2
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