Eco-friendly multivariant green analytical technique for the estimation of ketoconazole by UV spectroscopy in bulk and cream formulation
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Química Nova (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422022000100023 |
Resumo: | The pharmaceutical industries are focusing on Green Analytical Chemistry principles like miniaturization, eco-friendly solvent usage, waste recycling, and analyst safety for sustainable results. A simple, eco-friendly sensitive and effective extraction and multivariant green analytical method to estimate ketoconazole in bulk and cream formulation were developed and validated according to International Council for Harmonisation (ICH) guidelines. Based on the multivariant analytical technique, the developed method built in linear regression equations between concentration and absorbance with seven different wavelengths. The validation results represent the method has linear at a concentration of 12.8-19.2 μg mL-1 with calculated Limit of Detection (LOD) and Limit of Quantification (LOQ) of 0.338 and 1.026 μg mL-1, respectively. The method results representing a precise accuracy, inter-day, and intraday precision in all the wavelengths with percentage Relative Standard Deviation (RSD) under the limits as less than 2. Also, the method was tested with two different marketed ketoconazole cream formulations with a satisfactory result. The results of the proposed method replicated the novelty in classic approaches and proved statistically. This method was confirmed as greenest than previous methods reported by using assessing tools like National Environmental Method Index (NEMI), Green Analytical Procedure Index (GAPI), Analytical eco-scale, and Analytical Greenness (AGREE) metrics. As a result, the proposed approach could widely utilize for an efficient green analytical methodology for the estimation of ketoconazole. |
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Eco-friendly multivariant green analytical technique for the estimation of ketoconazole by UV spectroscopy in bulk and cream formulationketoconazolegreen analytical methodmultivariant analysisUV spectroscopyketoconazole cream formulationThe pharmaceutical industries are focusing on Green Analytical Chemistry principles like miniaturization, eco-friendly solvent usage, waste recycling, and analyst safety for sustainable results. A simple, eco-friendly sensitive and effective extraction and multivariant green analytical method to estimate ketoconazole in bulk and cream formulation were developed and validated according to International Council for Harmonisation (ICH) guidelines. Based on the multivariant analytical technique, the developed method built in linear regression equations between concentration and absorbance with seven different wavelengths. The validation results represent the method has linear at a concentration of 12.8-19.2 μg mL-1 with calculated Limit of Detection (LOD) and Limit of Quantification (LOQ) of 0.338 and 1.026 μg mL-1, respectively. The method results representing a precise accuracy, inter-day, and intraday precision in all the wavelengths with percentage Relative Standard Deviation (RSD) under the limits as less than 2. Also, the method was tested with two different marketed ketoconazole cream formulations with a satisfactory result. The results of the proposed method replicated the novelty in classic approaches and proved statistically. This method was confirmed as greenest than previous methods reported by using assessing tools like National Environmental Method Index (NEMI), Green Analytical Procedure Index (GAPI), Analytical eco-scale, and Analytical Greenness (AGREE) metrics. As a result, the proposed approach could widely utilize for an efficient green analytical methodology for the estimation of ketoconazole.Sociedade Brasileira de Química2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422022000100023Química Nova v.45 n.1 2022reponame:Química Nova (Online)instname:Sociedade Brasileira de Química (SBQ)instacron:SBQ10.21577/0100-4042.20170798info:eu-repo/semantics/openAccessKannaiah,Kanaka ParvathiSugumaran,Abimanyueng2022-03-07T00:00:00Zoai:scielo:S0100-40422022000100023Revistahttps://www.scielo.br/j/qn/ONGhttps://old.scielo.br/oai/scielo-oai.phpquimicanova@sbq.org.br1678-70640100-4042opendoar:2022-03-07T00:00Química Nova (Online) - Sociedade Brasileira de Química (SBQ)false |
dc.title.none.fl_str_mv |
Eco-friendly multivariant green analytical technique for the estimation of ketoconazole by UV spectroscopy in bulk and cream formulation |
title |
Eco-friendly multivariant green analytical technique for the estimation of ketoconazole by UV spectroscopy in bulk and cream formulation |
spellingShingle |
Eco-friendly multivariant green analytical technique for the estimation of ketoconazole by UV spectroscopy in bulk and cream formulation Kannaiah,Kanaka Parvathi ketoconazole green analytical method multivariant analysis UV spectroscopy ketoconazole cream formulation |
title_short |
Eco-friendly multivariant green analytical technique for the estimation of ketoconazole by UV spectroscopy in bulk and cream formulation |
title_full |
Eco-friendly multivariant green analytical technique for the estimation of ketoconazole by UV spectroscopy in bulk and cream formulation |
title_fullStr |
Eco-friendly multivariant green analytical technique for the estimation of ketoconazole by UV spectroscopy in bulk and cream formulation |
title_full_unstemmed |
Eco-friendly multivariant green analytical technique for the estimation of ketoconazole by UV spectroscopy in bulk and cream formulation |
title_sort |
Eco-friendly multivariant green analytical technique for the estimation of ketoconazole by UV spectroscopy in bulk and cream formulation |
author |
Kannaiah,Kanaka Parvathi |
author_facet |
Kannaiah,Kanaka Parvathi Sugumaran,Abimanyu |
author_role |
author |
author2 |
Sugumaran,Abimanyu |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Kannaiah,Kanaka Parvathi Sugumaran,Abimanyu |
dc.subject.por.fl_str_mv |
ketoconazole green analytical method multivariant analysis UV spectroscopy ketoconazole cream formulation |
topic |
ketoconazole green analytical method multivariant analysis UV spectroscopy ketoconazole cream formulation |
description |
The pharmaceutical industries are focusing on Green Analytical Chemistry principles like miniaturization, eco-friendly solvent usage, waste recycling, and analyst safety for sustainable results. A simple, eco-friendly sensitive and effective extraction and multivariant green analytical method to estimate ketoconazole in bulk and cream formulation were developed and validated according to International Council for Harmonisation (ICH) guidelines. Based on the multivariant analytical technique, the developed method built in linear regression equations between concentration and absorbance with seven different wavelengths. The validation results represent the method has linear at a concentration of 12.8-19.2 μg mL-1 with calculated Limit of Detection (LOD) and Limit of Quantification (LOQ) of 0.338 and 1.026 μg mL-1, respectively. The method results representing a precise accuracy, inter-day, and intraday precision in all the wavelengths with percentage Relative Standard Deviation (RSD) under the limits as less than 2. Also, the method was tested with two different marketed ketoconazole cream formulations with a satisfactory result. The results of the proposed method replicated the novelty in classic approaches and proved statistically. This method was confirmed as greenest than previous methods reported by using assessing tools like National Environmental Method Index (NEMI), Green Analytical Procedure Index (GAPI), Analytical eco-scale, and Analytical Greenness (AGREE) metrics. As a result, the proposed approach could widely utilize for an efficient green analytical methodology for the estimation of ketoconazole. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422022000100023 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422022000100023 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.21577/0100-4042.20170798 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Química |
publisher.none.fl_str_mv |
Sociedade Brasileira de Química |
dc.source.none.fl_str_mv |
Química Nova v.45 n.1 2022 reponame:Química Nova (Online) instname:Sociedade Brasileira de Química (SBQ) instacron:SBQ |
instname_str |
Sociedade Brasileira de Química (SBQ) |
instacron_str |
SBQ |
institution |
SBQ |
reponame_str |
Química Nova (Online) |
collection |
Química Nova (Online) |
repository.name.fl_str_mv |
Química Nova (Online) - Sociedade Brasileira de Química (SBQ) |
repository.mail.fl_str_mv |
quimicanova@sbq.org.br |
_version_ |
1750318121540911104 |