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Ecofriendly densitometric RP-HPTLC method for determination of rivaroxaban in nanoparticle formulations using green solvents

A literature survey revealed no suitable “reversed phase-high performance thin layer chromatography (RP-HPTLC)” method for the analysis of rivaroxaban in nanoparticle (NP) formulations. Therefore, a novel rapid, simple, economical and environment friendly RP-HPTLC method has been established for the...

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Autores principales: Alam, Prawez, Ezzeldin, Essam, Iqbal, Muzaffar, Anwer, Md. Khalid, Mostafa, Gamal A. E., Alqarni, Mohammed H., Foudah, Ahmed I., Shakeel, Faiyaz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9048746/
https://www.ncbi.nlm.nih.gov/pubmed/35494604
http://dx.doi.org/10.1039/c9ra07825h
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author Alam, Prawez
Ezzeldin, Essam
Iqbal, Muzaffar
Anwer, Md. Khalid
Mostafa, Gamal A. E.
Alqarni, Mohammed H.
Foudah, Ahmed I.
Shakeel, Faiyaz
author_facet Alam, Prawez
Ezzeldin, Essam
Iqbal, Muzaffar
Anwer, Md. Khalid
Mostafa, Gamal A. E.
Alqarni, Mohammed H.
Foudah, Ahmed I.
Shakeel, Faiyaz
author_sort Alam, Prawez
collection PubMed
description A literature survey revealed no suitable “reversed phase-high performance thin layer chromatography (RP-HPTLC)” method for the analysis of rivaroxaban in nanoparticle (NP) formulations. Therefore, a novel rapid, simple, economical and environment friendly RP-HPTLC method has been established for the quantification of rivaroxaban in NP formulations and commercial tablets. RP-HPTLC analysis of rivaroxaban was performed using “RP-18 silica gel 60 F254S HPTLC plates”. The binary mixture of green solvents ethanol : water (7 : 3 v/v) was utilized as the mobile phase. The quantification of rivaroxaban was carried out in densitometric mode at λ(max) = 253 nm. Rivaroxaban peaks from NP formulations was confirmed by comparing its single spot at R(f) = 0.71 ± 0.02 with that of the standard. The proposed RP-HPTLC method was found to be linear in the range of 50–600 ng per band with R(2) = 0.9994. The equation for linear regression analysis was obtained as Y = 13.28x + 1189.4. The proposed RP-HPTLC technique was validated for “precision, accuracy, robustness and sensitivity”. The accuracy of the method was obtained as 97.97–99.67%. The % RSD in repeatability and intermediate precision was recorded as 0.46–0.64 and 0.48–0.86%, respectively. The LOD and LOQ for rivaroxaban were obtained as 18.45 and 55.35 ng per spot, respectively. The % content of rivaroxaban in marketed tablets and NPs was recorded as 99.20 and 98.08%, respectively. The proposed RP-HPTLC technique could be successfully applied for the pharmaceutical assay of rivaroxaban in NPs, marketed tablets and related formulations.
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spelling pubmed-90487462022-04-28 Ecofriendly densitometric RP-HPTLC method for determination of rivaroxaban in nanoparticle formulations using green solvents Alam, Prawez Ezzeldin, Essam Iqbal, Muzaffar Anwer, Md. Khalid Mostafa, Gamal A. E. Alqarni, Mohammed H. Foudah, Ahmed I. Shakeel, Faiyaz RSC Adv Chemistry A literature survey revealed no suitable “reversed phase-high performance thin layer chromatography (RP-HPTLC)” method for the analysis of rivaroxaban in nanoparticle (NP) formulations. Therefore, a novel rapid, simple, economical and environment friendly RP-HPTLC method has been established for the quantification of rivaroxaban in NP formulations and commercial tablets. RP-HPTLC analysis of rivaroxaban was performed using “RP-18 silica gel 60 F254S HPTLC plates”. The binary mixture of green solvents ethanol : water (7 : 3 v/v) was utilized as the mobile phase. The quantification of rivaroxaban was carried out in densitometric mode at λ(max) = 253 nm. Rivaroxaban peaks from NP formulations was confirmed by comparing its single spot at R(f) = 0.71 ± 0.02 with that of the standard. The proposed RP-HPTLC method was found to be linear in the range of 50–600 ng per band with R(2) = 0.9994. The equation for linear regression analysis was obtained as Y = 13.28x + 1189.4. The proposed RP-HPTLC technique was validated for “precision, accuracy, robustness and sensitivity”. The accuracy of the method was obtained as 97.97–99.67%. The % RSD in repeatability and intermediate precision was recorded as 0.46–0.64 and 0.48–0.86%, respectively. The LOD and LOQ for rivaroxaban were obtained as 18.45 and 55.35 ng per spot, respectively. The % content of rivaroxaban in marketed tablets and NPs was recorded as 99.20 and 98.08%, respectively. The proposed RP-HPTLC technique could be successfully applied for the pharmaceutical assay of rivaroxaban in NPs, marketed tablets and related formulations. The Royal Society of Chemistry 2020-01-10 /pmc/articles/PMC9048746/ /pubmed/35494604 http://dx.doi.org/10.1039/c9ra07825h Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by-nc/3.0/
spellingShingle Chemistry
Alam, Prawez
Ezzeldin, Essam
Iqbal, Muzaffar
Anwer, Md. Khalid
Mostafa, Gamal A. E.
Alqarni, Mohammed H.
Foudah, Ahmed I.
Shakeel, Faiyaz
Ecofriendly densitometric RP-HPTLC method for determination of rivaroxaban in nanoparticle formulations using green solvents
title Ecofriendly densitometric RP-HPTLC method for determination of rivaroxaban in nanoparticle formulations using green solvents
title_full Ecofriendly densitometric RP-HPTLC method for determination of rivaroxaban in nanoparticle formulations using green solvents
title_fullStr Ecofriendly densitometric RP-HPTLC method for determination of rivaroxaban in nanoparticle formulations using green solvents
title_full_unstemmed Ecofriendly densitometric RP-HPTLC method for determination of rivaroxaban in nanoparticle formulations using green solvents
title_short Ecofriendly densitometric RP-HPTLC method for determination of rivaroxaban in nanoparticle formulations using green solvents
title_sort ecofriendly densitometric rp-hptlc method for determination of rivaroxaban in nanoparticle formulations using green solvents
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9048746/
https://www.ncbi.nlm.nih.gov/pubmed/35494604
http://dx.doi.org/10.1039/c9ra07825h
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